From e98721e478f20ce463150fd1848f0bb28c429814 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Tue, 3 Nov 2026 16:50:15 +0000
Subject: [PATCH 01/15] test: Preserve provider recording and reference
 evidence

---
 ...therai-chat_completions-non_stream-00.yaml |   37 +
 ...togetherai-chat_completions-stream-00.yaml |   40 +
 ...therai-chat_completions-non_stream-00.yaml |   37 +
 ...togetherai-chat_completions-stream-00.yaml |   42 +
 ...therai-chat_completions-non_stream-00.yaml |   37 +
 ...togetherai-chat_completions-stream-00.yaml |   40 +
 ...therai-chat_completions-non_stream-00.yaml |  203 +
 ...togetherai-chat_completions-stream-00.yaml |  208 +
 ...-01a1a245-9ce3-7d00-ade4-ac8377b653cd.yaml |   42 +
 .../gemini-text-stream/manifest.json          |   42 +
 ...-01a1a247-77d3-7502-818d-fd7c1de887b7.yaml |   54 +
 .../together-llama-text-stream/manifest.json  |   42 +
 ...-01a1a24c-855d-7172-8cb3-817eee18c561.yaml |  108 +
 ...-01a1a24c-8976-7ed0-8e69-8a1c23475c34.yaml |  126 +
 .../manifest.json                             |   49 +
 ...-01a1a248-2266-7e50-80b3-62907aa5672c.yaml |  107 +
 .../manifest.json                             |   42 +
 ...-01a1a24c-7a36-7343-9fb3-382d9c837eb0.yaml |  658 +++
 .../manifest.json                             |   47 +
 ...-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml |   64 +
 ...-01a1a248-07bc-7902-a857-dd91295a0326.yaml |   72 +
 .../manifest.json                             |   48 +
 ...-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml |   85 +
 ...-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml |   93 +
 .../together-qwen-text-stream/manifest.json   |   49 +
 ...-01a1a247-81fd-7ea3-8432-9278146a93ff.yaml |  104 +
 ...-01a1a247-8559-7771-8432-233c32264740.yaml |  115 +
 ...-01a1a247-876e-77e2-a985-1c36e8e19aaa.yaml |  118 +
 .../manifest.json                             |   53 +
 ...-01a1a24a-4303-7b72-aa70-50419a2fc77f.yaml |  517 ++
 ...-01a1a24a-4736-7262-a255-44276689cb8a.yaml |  427 ++
 ...-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml |  496 ++
 .../together-qwen-tools-stream/manifest.json  |   54 +
 ...-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml | 4759 +++++++++++++++++
 .../together-text-stream/manifest.json        |   42 +
 .../anthropic-messages-stream-00.yaml         |  290 +
 .../anthropic-messages-stream-01.yaml         |  354 ++
 .../openai-chat_completions-stream-00.yaml    |  197 +
 .../openai-chat_completions-stream-01.yaml    |  240 +
 .../openai-responses-stream-00.yaml           |  301 ++
 .../openai-responses-stream-01.yaml           |  372 ++
 ...togetherai-chat_completions-stream-00.yaml |  211 +
 ...togetherai-chat_completions-stream-01.yaml |  255 +
 .../anthropic-messages-stream-00.yaml         |  261 +
 .../anthropic-messages-stream-01.yaml         |  324 ++
 .../openai-chat_completions-stream-00.yaml    |  178 +
 .../openai-chat_completions-stream-01.yaml    |  221 +
 .../openai-responses-stream-00.yaml           |  274 +
 .../openai-responses-stream-01.yaml           |  340 ++
 ...togetherai-chat_completions-stream-00.yaml |  190 +
 ...togetherai-chat_completions-stream-01.yaml |  234 +
 tests/cassettes/reference_pr76/manifest.json  |  348 ++
 ...togetherai-chat_completions-stream-00.yaml |  162 +
 ...togetherai-chat_completions-stream-01.yaml | 1540 ++++++
 .../vllm-chat_completions-stream-00.yaml      |  155 +
 .../vllm-chat_completions-stream-01.yaml      | 1512 ++++++
 .../vllm-messages-stream-00.yaml              |  259 +
 .../vllm-messages-stream-01.yaml              | 2234 ++++++++
 .../vllm-responses-stream-00.yaml             |  301 ++
 .../vllm-responses-stream-01.yaml             | 2200 ++++++++
 .../anthropic-messages-non_stream-00.yaml     |   51 +
 .../anthropic-messages-non_stream-01.yaml     |   60 +
 .../anthropic-messages-stream-00.yaml         |  186 +
 .../anthropic-messages-stream-01.yaml         |  214 +
 ...openai-chat_completions-non_stream-00.yaml |   58 +
 ...openai-chat_completions-non_stream-01.yaml |   65 +
 .../openai-chat_completions-stream-00.yaml    |  140 +
 .../openai-chat_completions-stream-01.yaml    |  162 +
 .../openai-responses-non_stream-00.yaml       |  102 +
 .../openai-responses-non_stream-01.yaml       |  115 +
 .../openai-responses-stream-00.yaml           |  200 +
 .../openai-responses-stream-01.yaml           |  230 +
 ...therai-chat_completions-non_stream-00.yaml |   61 +
 ...therai-chat_completions-non_stream-01.yaml |   68 +
 ...togetherai-chat_completions-stream-00.yaml |  138 +
 ...togetherai-chat_completions-stream-01.yaml |  160 +
 .../anthropic-messages-stream-00.yaml         |  288 +
 .../anthropic-messages-stream-01.yaml         |  329 ++
 .../anthropic-messages-stream-02.yaml         |  364 ++
 .../openai-chat_completions-stream-00.yaml    |  201 +
 .../openai-chat_completions-stream-01.yaml    |  239 +
 .../openai-chat_completions-stream-02.yaml    |  269 +
 .../tool_call/openai-responses-stream-00.yaml |  328 ++
 .../tool_call/openai-responses-stream-01.yaml |  365 ++
 .../tool_call/openai-responses-stream-02.yaml |  407 ++
 ...togetherai-chat_completions-stream-00.yaml |  211 +
 ...togetherai-chat_completions-stream-01.yaml |  254 +
 ...togetherai-chat_completions-stream-02.yaml |  273 +
 .../anthropic-messages-stream-00.yaml         |  167 +
 .../anthropic-messages-stream-01.yaml         |  222 +
 .../openai-chat_completions-stream-00.yaml    |  134 +
 .../openai-chat_completions-stream-01.yaml    |  168 +
 .../openai-responses-stream-00.yaml           |  179 +
 .../openai-responses-stream-01.yaml           |  250 +
 ...togetherai-chat_completions-stream-00.yaml |  138 +
 ...togetherai-chat_completions-stream-01.yaml |  175 +
 .../anthropic-messages-stream-00.yaml         |  137 +
 .../anthropic-messages-stream-01.yaml         |  268 +
 .../openai-chat_completions-stream-00.yaml    |   98 +
 .../openai-chat_completions-stream-01.yaml    |  194 +
 .../openai-responses-stream-00.yaml           |  151 +
 .../openai-responses-stream-01.yaml           |  289 +
 ...togetherai-chat_completions-stream-00.yaml |  102 +
 ...togetherai-chat_completions-stream-01.yaml |  200 +
 104 files changed, 30420 insertions(+)
 create mode 100644 tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/errors/model_not_found/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/errors/model_not_found/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/errors/not_found/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/errors/not_found/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/gemini-text-stream/2026-11-03-01a1a245-9ce3-7d00-ade4-ac8377b653cd.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/gemini-text-stream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-llama-text-stream/2026-11-03-01a1a247-77d3-7502-818d-fd7c1de887b7.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-llama-text-stream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/2026-11-03-01a1a24c-855d-7172-8cb3-817eee18c561.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/2026-11-03-01a1a24c-8976-7ed0-8e69-8a1c23475c34.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/2026-11-03-01a1a248-2266-7e50-80b3-62907aa5672c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/2026-11-03-01a1a24c-7a36-7343-9fb3-382d9c837eb0.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/2026-11-03-01a1a247-81fd-7ea3-8432-9278146a93ff.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/2026-11-03-01a1a247-8559-7771-8432-233c32264740.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/2026-11-03-01a1a247-876e-77e2-a985-1c36e8e19aaa.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4303-7b72-aa70-50419a2fc77f.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/manifest.json
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/openai-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-02.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-02.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/openai-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/openai-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml

diff --git a/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..a1a3a06
--- /dev/null
+++ b/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,37 @@
+filename: 2026-10-15-01a13eab-b246-7602-aecb-9d5fe615d9e4
+request:
+  body:
+    max_completion_tokens: 16
+    messages:
+    - content:
+      - text: Reply with OK. x
+        type: text
+      role: user
+    model: gpt-4.1-mini
+    reasoning:
+      enabled: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '600171'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+    x-run-id: errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a13eab-b246-7602-aecb-9d5fe615d9e4
+response:
+  body: "{\n  \"id\": \"p5Ja3GU-3pDw3Z-a4ad70bd0d65ce2a\",\n  \"error\": {\n    \"\
+    message\": \"The input (300016 tokens) is longer than the model's context length\
+    \ (262144 tokens).\",\n    \"type\": \"invalid_request_error\",\n    \"param\"\
+    : null,\n    \"code\": null\n  }\n}"
+  headers:
+    connection: keep-alive
+    content-length: '239'
+    content-type: application/json; charset=utf-8
+  status_code: 400
+timestamp: '2026-10-15T08:26:42.118379+00:00'
diff --git a/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..4252929
--- /dev/null
+++ b/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,40 @@
+filename: 2026-10-15-01a13eab-a682-7d50-8f8f-a1430e6a65c6
+request:
+  body:
+    max_completion_tokens: 16
+    messages:
+    - content:
+      - text: Reply with OK. x
+        type: text
+      role: user
+    model: gpt-4.1-mini
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '600210'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+    x-run-id: errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a13eab-a682-7d50-8f8f-a1430e6a65c6
+response:
+  body: "{\n  \"id\": \"p5Ja2FC-3pDw3Z-a4ad70aaacc7ce2a\",\n  \"error\": {\n    \"\
+    message\": \"The input (300016 tokens) is longer than the model's context length\
+    \ (262144 tokens).\",\n    \"type\": \"invalid_request_error\",\n    \"param\"\
+    : null,\n    \"code\": null\n  }\n}"
+  headers:
+    connection: keep-alive
+    content-length: '239'
+    content-type: application/json; charset=utf-8
+  status_code: 400
+timestamp: '2026-10-15T08:26:39.106719+00:00'
diff --git a/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..ae4ce74
--- /dev/null
+++ b/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,37 @@
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diff --git a/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..1a9b11c
--- /dev/null
+++ b/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml
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new file mode 100644
index 0000000..4336160
--- /dev/null
+++ b/tests/cassettes/errors/model_not_found/togetherai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,37 @@
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new file mode 100644
index 0000000..556d2a5
--- /dev/null
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new file mode 100644
index 0000000..e2083d0
--- /dev/null
+++ b/tests/cassettes/errors/not_found/togetherai-chat_completions-non_stream-00.yaml
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diff --git a/tests/cassettes/errors/not_found/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/errors/not_found/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..9e2a474
--- /dev/null
+++ b/tests/cassettes/errors/not_found/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,208 @@
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+        type: text
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+      include_usage: true
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+    connection: keep-alive
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+    content-type: application/json
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+}
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/2026-11-03-01a1a24c-8976-7ed0-8e69-8a1c23475c34.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/2026-11-03-01a1a24c-8976-7ed0-8e69-8a1c23475c34.yaml
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+          - 7 + 4 = **11**'
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+          - add(2, 3) = 5
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/manifest.json
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--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/manifest.json
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.together.ai/v1/chat/completions",
+  "requested_model": "Qwen/Qwen3.5-9B",
+  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/2026-11-03-01a1a248-2266-7e50-80b3-62907aa5672c.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/2026-11-03-01a1a248-2266-7e50-80b3-62907aa5672c.yaml
new file mode 100644
index 0000000..b645512
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+filename: 2026-11-03-01a1a248-2266-7e50-80b3-62907aa5672c
+request:
+  body:
+    max_tokens: 2048
+    messages:
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+    stream: false
+    tool_choice:
+      function:
+        name: add
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+        description: Add two integers.
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+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a248-2266-7e50-80b3-62907aa5672c
+response:
+  body:
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+          The first call should add 2 and 3, and the second call should add 7 and
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+
+
+          Let me make both function calls:
+
+          1. First call: add(2, 3)
+
+          2. Second call: add(7, 4)
+
+
+          I''ll execute both in parallel and then provide both results.
+
+          '
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+            name: add
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/manifest.json
new file mode 100644
index 0000000..1980247
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/manifest.json
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+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "tool_calls",
+      "files": [
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+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
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+    "traceback": [
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+}
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+
+    '
+  - 'data: {"id":"0db6461a-aws_as1","object":"chat.completion.chunk","created":1793724283,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"b\":"}}],"reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"0db6461a-aws_as1","object":"chat.completion.chunk","created":1793724283,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"3}"}}],"reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"0db6461a-aws_as1","object":"chat.completion.chunk","created":1793724283,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"tool_calls","matched_stop":248044}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"0db6461a-aws_as1","object":"chat.completion.chunk","created":1793724283,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":311,"completion_tokens":105,"total_tokens":416,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":81}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-03T16:44:43.446710+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json
new file mode 100644
index 0000000..fda2909
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json
@@ -0,0 +1,47 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-03T16:44:43.051180+00:00",
+  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "togetherai",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.together.ai/v1/chat/completions",
+  "requested_model": "Qwen/Qwen3.5-9B",
+  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": null,
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-03-01a1a24c-7a36-7343-9fb3-382d9c837eb0.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 265, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 105, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml
new file mode 100644
index 0000000..68a82c4
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml
@@ -0,0 +1,64 @@
+filename: 2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed
+request:
+  body:
+    chat_template_kwargs:
+      enable_thinking: false
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '257'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a248-064f-7a73-93d8-785d24ef18ed
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      matched_stop: 248046
+      message:
+        content: 'Understood: blue lantern.'
+        reasoning_content: null
+        role: assistant
+    created: 1793723991
+    id: 8affa33b-aws_as1
+    model: Qwen/Qwen3.5-9B
+    object: chat.completion
+    system_fingerprint: default
+    usage:
+      completion_tokens: 7
+      prompt_tokens: 24
+      prompt_tokens_details:
+        cached_tokens: 0
+      total_tokens: 31
+  body_bytes: !!binary |
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+timestamp: '2026-11-03T16:39:51.631142+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml
new file mode 100644
index 0000000..c461802
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml
@@ -0,0 +1,72 @@
+filename: 2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326
+request:
+  body:
+    chat_template_kwargs:
+      enable_thinking: false
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content: 'Understood: blue lantern.'
+      reasoning_content: null
+      role: assistant
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '470'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a248-07bc-7902-a857-dd91295a0326
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      matched_stop: 248046
+      message:
+        content: blue lantern
+        reasoning_content: null
+        role: assistant
+    created: 1793723992
+    id: f5f4f41c-aws_as1
+    model: Qwen/Qwen3.5-9B
+    object: chat.completion
+    system_fingerprint: default
+    usage:
+      completion_tokens: 3
+      prompt_tokens: 49
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+        cached_tokens: 0
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+  body_bytes: !!binary |
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+  headers:
+    connection: keep-alive
+    content-type: application/json
+    x-request-id: f5f4f41c-aws_as1
+  status_code: 200
+timestamp: '2026-11-03T16:39:51.996769+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json
new file mode 100644
index 0000000..02278c8
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json
@@ -0,0 +1,48 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-03T16:39:51.273027+00:00",
+  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "togetherai",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.together.ai/v1/chat/completions",
+  "requested_model": "Qwen/Qwen3.5-9B",
+  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": false,
+  "max_tokens": 1024,
+  "extra_body": {
+    "chat_template_kwargs": {
+      "enable_thinking": false
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml
new file mode 100644
index 0000000..1fa714e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml
@@ -0,0 +1,85 @@
+filename: 2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3
+request:
+  body:
+    chat_template_kwargs:
+      enable_thinking: false
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '296'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a24a-3863-70e2-a3ee-c5adb12fa1b3
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: db65c063-aws_as1
+  sse:
+  - 'data: {"id":"db65c063-aws_as1","object":"chat.completion.chunk","created":1793724135,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"db65c063-aws_as1","object":"chat.completion.chunk","created":1793724135,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"Blue","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"db65c063-aws_as1","object":"chat.completion.chunk","created":1793724135,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"db65c063-aws_as1","object":"chat.completion.chunk","created":1793724135,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":".","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"db65c063-aws_as1","object":"chat.completion.chunk","created":1793724135,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"stop","matched_stop":248046}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"db65c063-aws_as1","object":"chat.completion.chunk","created":1793724135,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":24,"completion_tokens":4,"total_tokens":28,"prompt_tokens_details":{"cached_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-03T16:42:15.523083+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml
new file mode 100644
index 0000000..b893c10
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml
@@ -0,0 +1,93 @@
+filename: 2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb
+request:
+  body:
+    chat_template_kwargs:
+      enable_thinking: false
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - annotations: null
+      audio: null
+      content: Blue lantern.
+      function_call: null
+      reasoning_content: null
+      refusal: null
+      role: assistant
+      tool_calls: null
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '583'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a24a-3a24-7980-bea2-5cafea924fdb
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 3df5bdb0-aws_as1
+  sse:
+  - 'data: {"id":"3df5bdb0-aws_as1","object":"chat.completion.chunk","created":1793724136,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3df5bdb0-aws_as1","object":"chat.completion.chunk","created":1793724136,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"blue","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3df5bdb0-aws_as1","object":"chat.completion.chunk","created":1793724136,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    lantern","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3df5bdb0-aws_as1","object":"chat.completion.chunk","created":1793724136,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"stop","matched_stop":248046}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3df5bdb0-aws_as1","object":"chat.completion.chunk","created":1793724136,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":46,"completion_tokens":3,"total_tokens":49,"prompt_tokens_details":{"cached_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-03T16:42:15.972344+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json
new file mode 100644
index 0000000..7ecd45a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json
@@ -0,0 +1,49 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-03T16:42:15.160151+00:00",
+  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
+  "working_tree_dirty": true,
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+
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+    '
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+  stream_status: complete
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml
new file mode 100644
index 0000000..700b061
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml
@@ -0,0 +1,427 @@
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+      content: null
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+
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+
+        '
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+      role: assistant
+      tool_calls:
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+          name: add
+        id: call_01a1a24a45d179e08f629476
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: call_01a1a24a45d179e08f629476
+    model: Qwen/Qwen3.5-9B
+    stream: true
+    stream_options:
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+    tool_choice:
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+    tools:
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+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
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+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1027'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a24a-4736-7262-a255-44276689cb8a
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
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+
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+    '
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+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-03T16:42:19.318937+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml
new file mode 100644
index 0000000..f801238
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml
@@ -0,0 +1,496 @@
+filename: 2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: 'The user wants me to:
+
+        1. First add 2 and 3
+
+        2. Take that result and add it with 4
+
+        3. Give the final answer
+
+
+        Let me start by adding 2 and 3.
+
+        '
+      refusal: null
+      role: assistant
+      tool_calls:
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+          arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+          name: add
+        id: call_01a1a24a45d179e08f629476
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: call_01a1a24a45d179e08f629476
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: 'The first result is 5 (2 + 3 = 5). Now I need to add that
+        result (5) with 4.
+
+        '
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: "{\n  \"a\": 5,\n  \"b\": 4\n}"
+          name: add
+        id: call_01a1a24a48b171a18a7bfd5e
+        type: function
+    - content: '9'
+      role: tool
+      tool_call_id: call_01a1a24a48b171a18a7bfd5e
+    model: Qwen/Qwen3.5-9B
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
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+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
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+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1412'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a24a-4a25-7a90-b268-cb9166d814a1
+response:
+  error_event: false
+  headers:
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+    connection: keep-alive
+    content-type: text/event-stream
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-03T16:42:20.069897+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json
new file mode 100644
index 0000000..9e25e71
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json
@@ -0,0 +1,54 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-03T16:42:17.871536+00:00",
+  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "togetherai",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.together.ai/v1/chat/completions",
+  "requested_model": "Qwen/Qwen3.5-9B",
+  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": null,
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-03-01a1a24a-4303-7b72-aa70-50419a2fc77f.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml
new file mode 100644
index 0000000..5846799
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml
@@ -0,0 +1,4759 @@
+filename: 2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '247'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1a245-8b96-7d82-8d1b-5b8d749fbdb5
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 749c3ec8-aws_as1
+  sse:
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
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+    '
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+    '
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+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"."},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"\n\n"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"   "},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    \""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"Under"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"stood"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"."},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    blue"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    lantern"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":".\""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"\n\n"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"   "},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    Wait"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":","},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    the"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    instruction"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    says"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    \""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"Reply"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    briefly"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":".\""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"   "},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    So"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":":"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    \""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"Not"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"ed"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"."},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    blue"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    lantern"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":".\""},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"\n\n"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"   "},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    Let"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"''s"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    do"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"
+    that"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"."},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":"\n"},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"\n\n","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"Under","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"stood","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":".","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    blue","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    lantern","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":".","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"stop","matched_stop":248046}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"749c3ec8-aws_as1","object":"chat.completion.chunk","created":1793723831,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":22,"completion_tokens":715,"total_tokens":737,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":707}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-03T16:37:09.142993+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json
new file mode 100644
index 0000000..c1119be
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json
@@ -0,0 +1,42 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-03T16:37:08.763493+00:00",
+  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "togetherai",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.together.ai/v1/chat/completions",
+  "requested_model": "Qwen/Qwen3.5-9B",
+  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": null,
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "Qwen/Qwen3.5-9B",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 188, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 69, in validate_turn\n    raise ValueError(\"SDK accumulation did not retain the assistant role.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml
new file mode 100644
index 0000000..a0b6387
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml
@@ -0,0 +1,290 @@
+filename: 2026-08-12-019ff568-b3e6-7833-bab3-209979a38e1a
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - type: text
+        text: What logo is this?
+      - type: image
+        source:
+          type: base64
+          media_type: image/png
+          data: 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
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '1737'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019ff568-b3e6-7833-bab3-209979a38e1a
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":320,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
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+
+    '
+  - 'data: {"type": "ping"}
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+    '
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    is"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Git"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hub"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    Oct"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ocat"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    logo"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"**"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"—"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    styl"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ized"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    silhouette"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    of"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    Git"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hub"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"’s"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    mascot"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":320,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":25,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-12T09:58:27.558060+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml
new file mode 100644
index 0000000..968d98f
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml
@@ -0,0 +1,354 @@
+filename: 2026-08-12-019ff568-c50e-7f21-9082-dad4472825d2
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - type: text
+        text: What logo is this?
+      - type: image
+        source:
+          type: base64
+          media_type: image/png
+          data: 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
+      role: user
+    - content:
+      - type: text
+        text: That is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s
+          mascot.
+      role: assistant
+    - content:
+      - text: What is the animal?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '2268'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019ff568-c50e-7f21-9082-dad4472825d2
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":356,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"It"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"’s"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    a"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"cat"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"**,"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    specifically"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    Git"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hub"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"’s"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    mascot"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Oct"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ocat"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"**"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"—"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"a"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    cat"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    with"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    oct"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"opus"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"-like"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    tent"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"acles"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":356,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":31,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-12T09:58:31.950819+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..c3bfce1
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml
@@ -0,0 +1,197 @@
+filename: 2026-08-12-019ff572-c656-7180-900f-d238064d5703
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: data:image/png;base64,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
+        type: image_url
+      role: user
+    model: gpt-5.6-luna
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
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+    accept: application/json
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+    connection: keep-alive
+    content-length: '1767'
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+  query_params: {}
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-12T10:09:27.638291+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..21232e6
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-01.yaml
@@ -0,0 +1,240 @@
+filename: 2026-08-12-019ff572-cccd-7060-9a88-d467c020ad86
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
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+        type: text
+      role: user
+    model: gpt-5.6-luna
+    reasoning_effort: none
+    stream: true
+    stream_options:
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+      include_usage: true
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+    accept-encoding: gzip, deflate
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+    connection: keep-alive
+    content-length: '2005'
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+  query_params: {}
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-12T10:09:29.293075+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml
new file mode 100644
index 0000000..8f6881f
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml
@@ -0,0 +1,301 @@
+filename: 2026-08-12-019ff57f-8618-7eb2-944f-dad6439cb962
+request:
+  body:
+    input:
+    - content:
+      - text: What logo is this?
+        type: input_text
+      - image_url: data:image/png;base64,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
+        type: input_image
+      role: user
+    max_output_tokens: 2048
+    model: gpt-5.6-luna
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1772'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019ff57f-8618-7eb2-944f-dad6439cb962
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"response","created_at":1786530203,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"response","created_at":1786530203,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","type":"message","status":"in_progress","content":[],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
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+
+    '
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+
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+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"That","item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":4}
+
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+
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+
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+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Git","item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
+    '
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+    '
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+    '
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+  - 'event: response.output_text.delta
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+    '
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+
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+
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+
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+
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+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
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+
+    '
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+
+    '
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+    '
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+
+    '
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+
+    '
+  - 'event: response.output_text.delta
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+    '
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+
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+    '
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" mascot","item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":23}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
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+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":24}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","logprobs":[],"output_index":0,"sequence_number":25,"text":"That
+    is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s mascot."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"That
+    is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s mascot."},"sequence_number":26}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"That
+    is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s mascot."}],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":27}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"response","created_at":1786530203,"status":"completed","background":false,"completed_at":1786530204,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"msg_00c0e7423b71d21f006a7c499befc8819b95e1b1e0967dbb63","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"That
+    is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s mascot."}],"phase":"final_answer","role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":320,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":25,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":345},"user":null,"metadata":{}},"sequence_number":28}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-12T10:23:23.160837+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml
new file mode 100644
index 0000000..93abc76
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml
@@ -0,0 +1,372 @@
+filename: 2026-08-12-019ff57f-8ad9-78e2-bae0-e3d20305ee9b
+request:
+  body:
+    input:
+    - content:
+      - text: What logo is this?
+        type: input_text
+      - image_url: data:image/png;base64,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
+        type: input_image
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: That is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s
+          mascot.
+        type: output_text
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: What is the animal?
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: gpt-5.6-luna
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2123'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019ff57f-8ad9-78e2-bae0-e3d20305ee9b
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"response","created_at":1786530204,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"response","created_at":1786530204,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","type":"message","status":"in_progress","content":[],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"It","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"’s","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" a","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"cat","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**,","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" specifically","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":10}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" Git","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":11}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Hub","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":12}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"’s","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":13}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" mascot","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":14}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":",","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":17}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Oct","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":18}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"ocat","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":19}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":20}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"—","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":21}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"a","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":22}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" cat","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":23}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" with","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":24}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" oct","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":25}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"opus","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":26}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"-like","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":27}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" tent","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":28}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"acles","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":29}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":30}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","logprobs":[],"output_index":0,"sequence_number":31,"text":"It’s
+    a **cat**, specifically GitHub’s mascot, the **Octocat**—a cat with octopus-like
+    tentacles."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"It’s
+    a **cat**, specifically GitHub’s mascot, the **Octocat**—a cat with octopus-like
+    tentacles."},"sequence_number":32}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"It’s
+    a **cat**, specifically GitHub’s mascot, the **Octocat**—a cat with octopus-like
+    tentacles."}],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":33}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"response","created_at":1786530204,"status":"completed","background":false,"completed_at":1786530205,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"msg_00c0e7423b71d21f006a7c499d3978819bb2878f101e608ec0","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"It’s
+    a **cat**, specifically GitHub’s mascot, the **Octocat**—a cat with octopus-like
+    tentacles."}],"phase":"final_answer","role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":356,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":31,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":387},"user":null,"metadata":{}},"sequence_number":34}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-12T10:23:24.377461+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..186c5d4
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,211 @@
+filename: 2026-10-13-01a135b6-1341-7f12-99c5-13fc0d84dc0c
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: data:image/png;base64,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
+        type: image_url
+      role: user
+    model: gpt-5.6-luna
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1760'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: input_image_base64/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-1341-7f12-99c5-13fc0d84dc0c
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"That","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"That","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    is","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    is","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    the","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    the","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    Oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    Oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"ocat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"ocat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    logo","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    logo","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"—","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"—","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"the","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"the","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    styl","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    styl","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"ized","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"ized","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    silhouette","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    silhouette","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    of","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    of","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"
+    mascot","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    mascot","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":320,"total_tokens":345,"completion_tokens":25,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:41:27.361097+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..5c15131
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,255 @@
+filename: 2026-10-13-01a135b6-1966-7333-a722-70931a527455
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: data:image/png;base64,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
+        type: image_url
+      role: user
+    - content: That is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s
+        mascot.
+      role: assistant
+    - content:
+      - text: What is the animal?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2557'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: input_image_base64/togetherai-chat_completions-stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-1966-7333-a722-70931a527455
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"It","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"It","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
+    a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" a","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
+    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"cat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"cat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"**,","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**,","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
+    specifically","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    specifically","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
+    Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
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+
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:41:28.934223+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml
new file mode 100644
index 0000000..31d9e2f
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml
@@ -0,0 +1,261 @@
+filename: 2026-08-19-01a0186f-037c-7ec2-b49e-afde82e2ad0d
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - type: text
+        text: What logo is this?
+      - type: image
+        source:
+          type: url
+          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '298'
+    content-type: application/json
+    user-agent: Anthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a0186f-037c-7ec2-b49e-afde82e2ad0d
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
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+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":400,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
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+    '
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+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
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+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
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+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"That"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
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+
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+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Git"}}
+
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+
+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
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+
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+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    styl"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ized"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Oct"}}
+
+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ocat"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    silhouette"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":400,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":22,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T05:12:03.708341+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-01.yaml
new file mode 100644
index 0000000..2a0a0f1
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-01.yaml
@@ -0,0 +1,324 @@
+filename: 2026-08-19-01a0186f-0f28-7030-b7c9-dc5824bc0d3f
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - type: text
+        text: What logo is this?
+      - type: image
+        source:
+          type: url
+          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+      role: user
+    - content:
+      - type: text
+        text: That is the **GitHub logo**, featuring the stylized “Octocat” silhouette.
+      role: assistant
+    - content:
+      - type: text
+        text: What is the animal?
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '651'
+    content-type: application/json
+    user-agent: Anthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a0186f-0f28-7030-b7c9-dc5824bc0d3f
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":433,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"It"}}
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+  - '
+
+    '
+  - 'event: content_block_delta
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+    '
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+  - 'event: content_block_delta
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+    '
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+
+    '
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+    '
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+  - 'event: content_block_delta
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+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
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+
+    '
+  - 'event: content_block_delta
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+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"**"}}
+
+    '
+  - '
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+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
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+    '
+  - '
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+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":433,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":28,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T05:12:06.696969+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..d6a9992
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-00.yaml
@@ -0,0 +1,178 @@
+filename: 2026-08-19-01a01867-f2c4-7112-8d24-c505fc71b41a
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+        type: image_url
+      role: user
+    model: gpt-5.6-luna
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '363'
+    content-type: application/json
+    user-agent: OpenAI/Python 2.48.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a01867-f2c4-7112-8d24-c505fc71b41a
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}],"usage":null}
+
+    '
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+
+    '
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+
+    '
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+
+    '
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+
+    '
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+    '
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+
+    '
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+
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+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T05:04:20.676154+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..bb74ef6
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml
@@ -0,0 +1,221 @@
+filename: 2026-08-19-01a01867-f8bd-7eb0-8045-8755929d0870
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+        type: image_url
+      role: user
+    - content: That is the **GitHub logo**, featuring the stylized “Octocat” silhouette.
+      role: assistant
+    - content:
+      - text: What is the animal?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '546'
+    content-type: application/json
+    user-agent: OpenAI/Python 2.48.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a01867-f8bd-7eb0-8045-8755929d0870
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}],"usage":null}
+
+    '
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+
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+  - '
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+    '
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+timestamp: '2026-08-19T05:04:22.205519+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml
new file mode 100644
index 0000000..026d43e
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml
@@ -0,0 +1,274 @@
+filename: 2026-08-19-01a018d4-f653-7471-b7bf-7a997cb0ae95
+request:
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+      - text: What logo is this?
+        type: input_text
+      - image_url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+        type: input_image
+      role: user
+    max_output_tokens: 2048
+    model: gpt-5.6-luna
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
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+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '364'
+    content-type: application/json
+    user-agent: OpenAI/Python 2.48.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a018d4-f653-7471-b7bf-7a997cb0ae95
+response:
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+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T07:03:25.011667+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-01.yaml
new file mode 100644
index 0000000..c43b2a6
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-01.yaml
@@ -0,0 +1,340 @@
+filename: 2026-08-19-01a018d5-002f-7ff2-9bf6-bf2d29184641
+request:
+  body:
+    input:
+    - content:
+      - text: What logo is this?
+        type: input_text
+      - image_url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+        type: input_image
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: That is the **GitHub logo**, featuring the stylized “Octocat” silhouette.
+        type: output_text
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: What is the animal?
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: gpt-5.6-luna
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '740'
+    content-type: application/json
+    user-agent: OpenAI/Python 2.48.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a018d5-002f-7ff2-9bf6-bf2d29184641
+response:
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+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":10}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"—","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":11}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Git","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":12}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Hub","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":13}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"’s","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":14}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" fictional","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" mascot","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":",","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":17}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" combining","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":18}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" an","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":19}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":20}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"oct","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":21}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"opus","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":22}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" and","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":23}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" a","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":24}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" cat","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":25}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":26}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":27}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","logprobs":[],"output_index":0,"sequence_number":28,"text":"It’s
+    an **octocat**—GitHub’s fictional mascot, combining an **octopus and a cat**."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"It’s
+    an **octocat**—GitHub’s fictional mascot, combining an **octopus and a cat**."},"sequence_number":29}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"It’s
+    an **octocat**—GitHub’s fictional mascot, combining an **octopus and a cat**."}],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":30}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"response","created_at":1787123007,"status":"completed","background":false,"completed_at":1787123009,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"msg_0d14dcd1c4918aa7006a855540fb5c8198b8e9a48649cdc4af","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"It’s
+    an **octocat**—GitHub’s fictional mascot, combining an **octopus and a cat**."}],"phase":"final_answer","role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":433,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":28,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":461},"user":null,"metadata":{}},"sequence_number":31}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T07:03:27.535977+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..8c86896
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,190 @@
+filename: 2026-10-13-01a135b6-48d7-74e2-a706-52983572f538
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+        type: image_url
+      role: user
+    model: gpt-5.6-luna
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '331'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: input_image_remote_url/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-48d7-74e2-a706-52983572f538
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"That","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"That","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    is","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    is","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    the","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    the","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    logo","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    logo","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"**,","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**,","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    featuring","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    featuring","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    the","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    the","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    styl","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    styl","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"ized","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"ized","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    “","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" “","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"Oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"ocat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"ocat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"”","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"”","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"
+    silhouette","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    silhouette","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":400,"total_tokens":422,"completion_tokens":22,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:41:41.079433+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..52db72c
--- /dev/null
+++ b/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,234 @@
+filename: 2026-10-13-01a135b6-5057-7d01-bd47-54177f2bd928
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What logo is this?
+        type: text
+      - image_url:
+          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
+        type: image_url
+      role: user
+    - content: That is the **GitHub logo**, featuring the stylized “Octocat” silhouette.
+      role: assistant
+    - content:
+      - text: What is the animal?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1221'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: input_image_remote_url/togetherai-chat_completions-stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-5057-7d01-bd47-54177f2bd928
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"It","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"It","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    an","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    an","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"ocat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"ocat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"—","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"—","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    fictional","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    fictional","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    mascot","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    mascot","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":",","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":",","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    combining","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    combining","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    an","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    an","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"opus","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"opus","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    and","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" a","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
+    cat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    cat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":433,"total_tokens":461,"completion_tokens":28,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:41:42.999069+00:00'
diff --git a/tests/cassettes/reference_pr76/manifest.json b/tests/cassettes/reference_pr76/manifest.json
new file mode 100644
index 0000000..534de2d
--- /dev/null
+++ b/tests/cassettes/reference_pr76/manifest.json
@@ -0,0 +1,348 @@
+{
+  "provenance": "matched",
+  "source_pr": "https://github.com/EmbeddedLLM/molto/pull/76",
+  "source_revision": "42b9040cb2c74b3676d1749b2c4473c16b3bda9f",
+  "description": "Historical matched scenarios imported byte-for-byte. Model/request alignment is not live provider availability evidence.",
+  "files": [
+    {
+      "path": "simple_text/anthropic-messages-non_stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/anthropic-messages-non_stream-00.yaml",
+      "sha256": "5751286f49cdc700beda9e1ad9352c3c7d2be28e9f77ffbd329d381f47cdf71e"
+    },
+    {
+      "path": "simple_text/anthropic-messages-non_stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/anthropic-messages-non_stream-01.yaml",
+      "sha256": "475ab45d56fb9c34dbccdc6233dc92095698045215717fd4ec1f8ba6ff7ed332"
+    },
+    {
+      "path": "simple_text/anthropic-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/anthropic-messages-stream-00.yaml",
+      "sha256": "5c53db3f14b4ce47526d2a1232fc9d36e12f5acc68295f1ebf2863d079449977"
+    },
+    {
+      "path": "simple_text/anthropic-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/anthropic-messages-stream-01.yaml",
+      "sha256": "f3f89d4b443ab7d1cf3073eab0da8baf2fb1183bdb8cb3e94558c3e0ab66b44a"
+    },
+    {
+      "path": "simple_text/openai-chat_completions-non_stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-chat_completions-non_stream-00.yaml",
+      "sha256": "6b1556226e7ad1602a5af5b0b62a8ab4da0e65daa89c0ce413dca45fb7651ca8"
+    },
+    {
+      "path": "simple_text/openai-chat_completions-non_stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-chat_completions-non_stream-01.yaml",
+      "sha256": "0fdf9e356ac9ca6e37738233017130744654310e920ceaef6958eecdcc6d8f97"
+    },
+    {
+      "path": "simple_text/openai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-chat_completions-stream-00.yaml",
+      "sha256": "2bc134f2ac8afa417b675f2e8a9bdd987db13705a5a36f2e2e682d8259c75a92"
+    },
+    {
+      "path": "simple_text/openai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-chat_completions-stream-01.yaml",
+      "sha256": "4cb97ad76dfad0bf169a37f78d50ef9db45bfaaac988a3270429efe0c6e51758"
+    },
+    {
+      "path": "simple_text/openai-responses-non_stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-responses-non_stream-00.yaml",
+      "sha256": "cf412f02753a5f27bae9bb4f58863c97597ad198290015d317531f0d284886bf"
+    },
+    {
+      "path": "simple_text/openai-responses-non_stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-responses-non_stream-01.yaml",
+      "sha256": "f508ec002dcbd4d9e4bce69a234011afc9638dd9764b1930f943eebcf28e06a3"
+    },
+    {
+      "path": "simple_text/openai-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-responses-stream-00.yaml",
+      "sha256": "1101d4f3596ae4b7c22cbf63b1c22f28e3374df567599123922be238ca6bca0c"
+    },
+    {
+      "path": "simple_text/openai-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/openai-responses-stream-01.yaml",
+      "sha256": "e8d21289a7cec20c8eb00fd5c1e7e93f03e9b63a7cd0212ec190e8e71e363479"
+    },
+    {
+      "path": "simple_text/togetherai-chat_completions-non_stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/togetherai-chat_completions-non_stream-00.yaml",
+      "sha256": "346c0a370b0b0d85765aa30cb034dec2fd4bc5957f8f23aa3f3c040637ae7a57"
+    },
+    {
+      "path": "simple_text/togetherai-chat_completions-non_stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/togetherai-chat_completions-non_stream-01.yaml",
+      "sha256": "b1ef080aed55ebb0f65d60033e1cfc4ae7951160bdbda8816c2df67316720ef7"
+    },
+    {
+      "path": "simple_text/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "f2bbb34cba408dd2eaf9e9b14f4f31f67618934f8ee8f8a5641076395f093d0d"
+    },
+    {
+      "path": "simple_text/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/simple_text/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "e50ff54bc85360f4ac9fa03cca955df15fa8251afa40499ae0132486b8cc11c8"
+    },
+    {
+      "path": "reasoning_raw/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "98826c0e5baec4013a450d8c9f2cee24db0b6928563462af8088d20fc4b9d47e"
+    },
+    {
+      "path": "reasoning_raw/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "adeee290e2765b4689f4e2f10a34248e58233fe543ac4622e70966036cbe4995"
+    },
+    {
+      "path": "reasoning_raw/vllm-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/vllm-chat_completions-stream-00.yaml",
+      "sha256": "61dbf17b4201beabf939e8332405d9edce7d67a9cc11c9af1363645af6c79f8e"
+    },
+    {
+      "path": "reasoning_raw/vllm-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/vllm-chat_completions-stream-01.yaml",
+      "sha256": "fb68b9037fb70e0d9bc471d0d71696684576b139578454d234e57c8809ffecb0"
+    },
+    {
+      "path": "reasoning_raw/vllm-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/vllm-messages-stream-00.yaml",
+      "sha256": "12ac2791fdc30d9d5a824882e7f5ad80d878d0c6a5814ff9208f539ad8214701"
+    },
+    {
+      "path": "reasoning_raw/vllm-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/vllm-messages-stream-01.yaml",
+      "sha256": "daa86fb01bc0d076363ae6066c1bfdf44e2870aa06554629b38ef6686228e618"
+    },
+    {
+      "path": "reasoning_raw/vllm-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/vllm-responses-stream-00.yaml",
+      "sha256": "63fb2287f4b3455696ee904ceace0def2cc01a8fdf55c3fb139fdeaafb6d2613"
+    },
+    {
+      "path": "reasoning_raw/vllm-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/reasoning_raw/vllm-responses-stream-01.yaml",
+      "sha256": "d10751f2ec899c31bec63c9f224afd4ebd1f02592aafb3121ec5601153799e0e"
+    },
+    {
+      "path": "input_image_base64/anthropic-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/anthropic-messages-stream-00.yaml",
+      "sha256": "cdc1d06ea147ea2d2ece28f0430e78c29e4b6e47e6c122c7b29e81c850ae37f2"
+    },
+    {
+      "path": "input_image_base64/anthropic-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/anthropic-messages-stream-01.yaml",
+      "sha256": "55d5791094df696fbfb063d971494f21b9567941200cc100644705d0b564495a"
+    },
+    {
+      "path": "input_image_base64/openai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/openai-chat_completions-stream-00.yaml",
+      "sha256": "63c496a776bea9b9cd8178ba9d94cd88a8f950c551d5ae1bae8dff0387ad5f54"
+    },
+    {
+      "path": "input_image_base64/openai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/openai-chat_completions-stream-01.yaml",
+      "sha256": "36dc995a88b59d496c5e1b8207cc662addb3e0e36e96dceddea33fd460b59649"
+    },
+    {
+      "path": "input_image_base64/openai-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/openai-responses-stream-00.yaml",
+      "sha256": "af58d4214393473c477d0ad1a5931f581c2ef8a371cfe84994ee230dbe888635"
+    },
+    {
+      "path": "input_image_base64/openai-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/openai-responses-stream-01.yaml",
+      "sha256": "7ecc2bd8ba51b8cc7d558879eb005907cb49bd8b50cd483424b1c3cb611f5d42"
+    },
+    {
+      "path": "input_image_base64/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "3341e07cb862ed8c11c01d43566b449106cb9f8d648486ea3dfba30b241abfdb"
+    },
+    {
+      "path": "input_image_base64/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_base64/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "bf9311b67c31437bc9491b8d6a8f35ba2e8cd54ac84fc694fa30177fd21dcae2"
+    },
+    {
+      "path": "input_image_remote_url/anthropic-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/anthropic-messages-stream-00.yaml",
+      "sha256": "ba86bc8c3fd65711735e1330580966bc81511913a03f7b94cfeea2ac680e407c"
+    },
+    {
+      "path": "input_image_remote_url/anthropic-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/anthropic-messages-stream-01.yaml",
+      "sha256": "7f920ca4aae7624779818b3473c9db9fd5933688d6a2b41f24979350f25b0ea5"
+    },
+    {
+      "path": "input_image_remote_url/openai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/openai-chat_completions-stream-00.yaml",
+      "sha256": "4bf6008ea63deed2ba9fe3e95866b3032167b76da67c5fa9dbf1f4a958547125"
+    },
+    {
+      "path": "input_image_remote_url/openai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/openai-chat_completions-stream-01.yaml",
+      "sha256": "f22a72f5dac63d43e465c83b96c590f4269e7ab386ec718cae3567a80e1baa2e"
+    },
+    {
+      "path": "input_image_remote_url/openai-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/openai-responses-stream-00.yaml",
+      "sha256": "7864caf8b65ea1cbb77f819f7db6034851ac00822784fb9c607b33401fef3609"
+    },
+    {
+      "path": "input_image_remote_url/openai-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/openai-responses-stream-01.yaml",
+      "sha256": "9dc337e97b99c14c6bef14e102ab8747a630d3768cafcf63d556e53779f7d229"
+    },
+    {
+      "path": "input_image_remote_url/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "5f3cad48e42b0d831875c19c4078f171c271f84068de453133f50da56b774caf"
+    },
+    {
+      "path": "input_image_remote_url/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/input_image_remote_url/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "50badeeacd46a187bed572cfd2954666fe54bb7f75b6d0f1c29cdb48f14ccaf4"
+    },
+    {
+      "path": "tool_call/anthropic-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/anthropic-messages-stream-00.yaml",
+      "sha256": "52afb819762ba8ead63234be670c3f20ec3eeda5bbf2c961feaafa64d238a9dc"
+    },
+    {
+      "path": "tool_call/anthropic-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/anthropic-messages-stream-01.yaml",
+      "sha256": "81e81db8b15aacadefa90c35af1e54dc5ff82d5630c95a5207d1cacbb0698f56"
+    },
+    {
+      "path": "tool_call/anthropic-messages-stream-02.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/anthropic-messages-stream-02.yaml",
+      "sha256": "9d970e1a9526fd610a49cf6b6c3876b026ea84f92328096edb9be23de1e46e11"
+    },
+    {
+      "path": "tool_call/openai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/openai-chat_completions-stream-00.yaml",
+      "sha256": "dc91bcac720be765e656fb1e0c60b0a8c52e891338fa173678a292c1111ae7c1"
+    },
+    {
+      "path": "tool_call/openai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/openai-chat_completions-stream-01.yaml",
+      "sha256": "f6aad71337ad220eb417ffb4d846cd86f4f78d4acce7a698fb8e3c748a5a8322"
+    },
+    {
+      "path": "tool_call/openai-chat_completions-stream-02.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/openai-chat_completions-stream-02.yaml",
+      "sha256": "05327692ba72bca403f956644fcd0a2fec24a223542b97cb8c6e8ed939ce0a86"
+    },
+    {
+      "path": "tool_call/openai-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/openai-responses-stream-00.yaml",
+      "sha256": "a78ac313ca8235d5f89129883dcd3b5cdd09465f6938069a0bba5bc7f70e281a"
+    },
+    {
+      "path": "tool_call/openai-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/openai-responses-stream-01.yaml",
+      "sha256": "124cc695b3c7e5826417adf9a1e8b2da5ea84dc862dd029fdfab0544f3c69b8f"
+    },
+    {
+      "path": "tool_call/openai-responses-stream-02.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/openai-responses-stream-02.yaml",
+      "sha256": "80d606311c7a53685afdd674c715bf5b411fb5df4fdf227aef08ab6efcd4e07a"
+    },
+    {
+      "path": "tool_call/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "56c1b6dafff46325ee86aa5ea26bb247c1a583e946f9b568c3f64747755bfbae"
+    },
+    {
+      "path": "tool_call/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "0110b8a09faf2a5dd5e91792045d99cfa3a0c46a8a009a29a65762562f41c917"
+    },
+    {
+      "path": "tool_call/togetherai-chat_completions-stream-02.yaml",
+      "source_path": "tests/cassettes/matched/tool_call/togetherai-chat_completions-stream-02.yaml",
+      "sha256": "76d4c19d5c808cb1c8544bbbcb8ec8348a54cd2e0a630bb499c286abf91c6a10"
+    },
+    {
+      "path": "tool_call_choice/anthropic-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/anthropic-messages-stream-00.yaml",
+      "sha256": "aa48c9ea4504b84b49cca4c6f95e2233c59e1b76e45d704dd83297ce35f6db93"
+    },
+    {
+      "path": "tool_call_choice/anthropic-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/anthropic-messages-stream-01.yaml",
+      "sha256": "169a0b8d9ad182596241cadef6ddd97c9c09ba41873e601399c6ef653ad51d6b"
+    },
+    {
+      "path": "tool_call_choice/openai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/openai-chat_completions-stream-00.yaml",
+      "sha256": "07c18429204a949b32a6b843ec5992d3d12a8d04f62b8c412e37a40152ba8d06"
+    },
+    {
+      "path": "tool_call_choice/openai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/openai-chat_completions-stream-01.yaml",
+      "sha256": "49d57af08aeb6758b61fed0efb9fd271f26b05968a3970bf2c98dde8002d5a13"
+    },
+    {
+      "path": "tool_call_choice/openai-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/openai-responses-stream-00.yaml",
+      "sha256": "0b01e87f9f8b2f30fe8ea5755286b5fd8f53c0204763be07aef1c07dece0ea9f"
+    },
+    {
+      "path": "tool_call_choice/openai-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/openai-responses-stream-01.yaml",
+      "sha256": "991918329ee33efb9dea57d6d9d437cc6f87d5a3814fcd06e3ae6f0e99aa87da"
+    },
+    {
+      "path": "tool_call_choice/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "0c83196573415c84438977d652d17ed677861e91685dbf55b3a840623e03d96b"
+    },
+    {
+      "path": "tool_call_choice/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_choice/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "2b528efb23c73d986af1b3e3e905c7588b2d7bb571f41eda633d457ab270129f"
+    },
+    {
+      "path": "tool_call_parallel/anthropic-messages-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/anthropic-messages-stream-00.yaml",
+      "sha256": "d8be72857eb651830cfa8b6f113655e9150e40b6172d77b00b5a5e17a3db3b07"
+    },
+    {
+      "path": "tool_call_parallel/anthropic-messages-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/anthropic-messages-stream-01.yaml",
+      "sha256": "5896819c97159b0553f5033ce9360633d94bcbcd4ceefc8022f0131bed621d87"
+    },
+    {
+      "path": "tool_call_parallel/openai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/openai-chat_completions-stream-00.yaml",
+      "sha256": "254b197aaa36551cdd63833592ab5ea878837ce937cebeb1bb87d417bc196519"
+    },
+    {
+      "path": "tool_call_parallel/openai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/openai-chat_completions-stream-01.yaml",
+      "sha256": "1d69997261fd342d91d85720dd0a018f7be0e08496455180c584d9254df5678a"
+    },
+    {
+      "path": "tool_call_parallel/openai-responses-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/openai-responses-stream-00.yaml",
+      "sha256": "ce1a6d6540b4417c695f51144198bac2b9d8901d18065c8e43e6fd718423ad33"
+    },
+    {
+      "path": "tool_call_parallel/openai-responses-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/openai-responses-stream-01.yaml",
+      "sha256": "9b4445ee6b4f2c529724f80d6b8079d7f15e108c0ebabe1a33a822abacbcd97f"
+    },
+    {
+      "path": "tool_call_parallel/togetherai-chat_completions-stream-00.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/togetherai-chat_completions-stream-00.yaml",
+      "sha256": "fb13e6a2f708a5d999ea1a1d2c51495f251e2a1746c04ecfa85287a0e1fb9068"
+    },
+    {
+      "path": "tool_call_parallel/togetherai-chat_completions-stream-01.yaml",
+      "source_path": "tests/cassettes/matched/tool_call_parallel/togetherai-chat_completions-stream-01.yaml",
+      "sha256": "d08382f236cfee24a4d5b930ab2925f0b99f0c716064c82e00c697d1b7ef4f2b"
+    }
+  ]
+}
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..c4427cf
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,162 @@
+filename: 2026-10-13-01a135b5-d2ef-7ac0-9dd3-60279d93dd1c
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What is 2+2?
+        type: text
+      role: user
+    model: deepseek-v4-flash
+    reasoning_effort: high
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '208'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: reasoning_raw/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b5-d2ef-7ac0-9dd3-60279d93dd1c
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"deepseek-v4-flash","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"We"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"
+    need"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"
+    answer"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"
+    simple"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"."}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"
+    Need"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"
+    comply"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"."}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"
+    "}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"2"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"+"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"2"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"="}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"4"}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","reasoning":"."}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"4","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"4","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"choices":[],"model":"deepseek-v4-flash","usage":{"prompt_tokens":90,"completion_tokens":17,"total_tokens":107,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":15}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:41:10.895692+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..b22264e
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,1540 @@
+filename: 2026-10-13-01a135b5-d678-7853-b27e-365249e63ec5
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What is 2+2?
+        type: text
+      role: user
+    - content: '4'
+      reasoning: We need answer simple. Need comply. 2+2=4.
+      role: assistant
+    - content:
+      - text: What about 2*2?
+        type: text
+      role: user
+    model: deepseek-v4-flash
+    reasoning_effort: high
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
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+    '
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+    '
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+    '
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+
+    '
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+
+    '
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+    '
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+
+    '
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+    '
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+
+    '
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+    '
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+
+    '
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+    '
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+
+    '
+  - '
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+    '
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+
+    '
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[{"index":0,"text":"
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+
+    '
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+    '
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+    you","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
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+    '
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+
+    '
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+    '
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+
+    '
+  - '
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+    '
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+    result","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    result","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[{"index":0,"text":":","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":":","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[{"index":0,"text":"
+    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    **","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[{"index":0,"text":"4","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"4","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[{"index":0,"text":"**.","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**.","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"deepseek-v4-flash","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"choices":[],"model":"deepseek-v4-flash","usage":{"prompt_tokens":102,"completion_tokens":222,"total_tokens":324,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":180}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:41:11.800450+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..0d55a0e
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml
@@ -0,0 +1,155 @@
+filename: 2026-08-06-019fd60b-b34a-77f2-9dcd-a84f69c6e1a6
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What is 2+2?
+        type: text
+      role: user
+    model: deepseek-v4-flash
+    reasoning_effort: high
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '191'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019fd60b-b34a-77f2-9dcd-a84f69c6e1a6
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"role":"assistant","content":null,"reasoning_content":""},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"We"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    need"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    answer"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    simple"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"."},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    Need"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    comply"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"."},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    "},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"2"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"+"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"2"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"="},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"4"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"."},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"content":"4"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"chat.completion.chunk","created":1786002291,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"content":"","reasoning_content":null},"logprobs":null,"finish_reason":"stop"}],"usage":{"prompt_tokens":90,"completion_tokens":17,"total_tokens":107,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":15},"prompt_cache_hit_tokens":0,"prompt_cache_miss_tokens":90},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-06T07:48:38.858585+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..36d1c5a
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml
@@ -0,0 +1,1512 @@
+filename: 2026-08-06-019fd61e-154c-78a3-b13f-98ec0f162f34
+request:
+  body:
+    max_completion_tokens: 2048
+    messages:
+    - content:
+      - text: What is 2+2?
+        type: text
+      role: user
+    - content: '4'
+      reasoning_content: We need answer simple. Need comply. 2+2=4.
+      role: assistant
+    - content:
+      - text: What about 2*2?
+        type: text
+      role: user
+    model: deepseek-v4-flash
+    reasoning_effort: high
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '309'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019fd61e-154c-78a3-b13f-98ec0f162f34
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"role":"assistant","content":null,"reasoning_content":""},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"1"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"."},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    "},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    **"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"Analy"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"ze"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    the"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    User"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"''s"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    Query"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"**"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":":\n"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"   "},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    *"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"  "},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    The"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    user"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    first"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    asked"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    \""},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"What"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    is"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    "},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"2"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"+"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"2"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"chat.completion.chunk","created":1786002455,"model":"deepseek-v4-flash","system_fingerprint":"fp_a18b46594c_prod0820_fp8_kvcache_20260402","choices":[{"index":0,"delta":{"reasoning_content":"
+    and"},"logprobs":null,"finish_reason":null}],"usage":null,"service_tier":"default"}
+
+    '
+  - '
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+    '
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+
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-06T08:08:43.596540+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-00.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-00.yaml
new file mode 100644
index 0000000..377d4db
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-00.yaml
@@ -0,0 +1,259 @@
+filename: 2026-08-10-019fea5b-d51c-72b3-abcc-85275f3261e2
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: What is 2+2?
+        type: text
+      role: user
+    model: deepseek-v4-flash
+    output_config:
+      effort: high
+    stream: true
+    thinking:
+      display: summarized
+      type: adaptive
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    anthropic-version: '2023-06-01'
+    connection: keep-alive
+    content-length: '174'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.117.0
+    x-api-key: '***'
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019fea5b-d51c-72b3-abcc-85275f3261e2
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"deepseek-v4-flash","id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":90,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"We"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    need"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    answer"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    simple"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    Need"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    comply"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    "}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"2"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
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+  - 'event: content_block_start
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+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}}
+
+    '
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+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"4"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
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+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":90,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":17,"output_tokens_details":{"thinking_tokens":15}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-10T06:28:34.716584+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-01.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-01.yaml
new file mode 100644
index 0000000..1a1abba
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/vllm-messages-stream-01.yaml
@@ -0,0 +1,2234 @@
+filename: 2026-08-10-019fea5c-1fc0-7041-a2dd-396b35e4020d
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: What is 2+2?
+        type: text
+      role: user
+    - content:
+      - type: thinking
+        thinking: We need answer simple. Need comply. 2+2=4.
+      - type: text
+        text: '4'
+      role: assistant
+    - content:
+      - text: What about 2*2?
+        type: text
+      role: user
+    model: deepseek-v4-flash
+    output_config:
+      effort: high
+    stream: true
+    thinking:
+      display: summarized
+      type: adaptive
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    anthropic-version: '2023-06-01'
+    connection: keep-alive
+    content-length: '5329'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.117.0
+    x-api-key: '***'
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019fea5c-1fc0-7041-a2dd-396b35e4020d
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"deepseek-v4-flash","id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":102,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
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+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
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+    '
+  - 'data: {"type":"ping"}
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+    '
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+    '
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+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"."}}
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+  - 'event: content_block_delta
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+    "}}
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+    '
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+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"Analy"}}
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+    '
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+
+    '
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+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"ze"}}
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+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    the"}}
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+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    User"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"''s"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    Query"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
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+    '
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+    first"}}
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+    I"}}
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+    assistant"}}
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+    The"}}
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+    user"}}
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+    then"}}
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+
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+
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+    asks"}}
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+    \""}}
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+
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+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    about"}}
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+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"thinking_delta","thinking":"
+    This"}}
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+
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+
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+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"''s"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    also"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    "}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"4"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    \n\n"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"Since"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    multiplication"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    is"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    just"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    repeated"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    addition"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":","}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"2"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    ×"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    "}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"2"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"**"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    is"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    same"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    as"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"2"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    +"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    "}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"2"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"**,"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    so"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    both"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    give"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    you"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    same"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    result"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":":"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"4"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"text_delta","text":"**."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":102,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":222,"output_tokens_details":{"thinking_tokens":180}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-10T06:28:53.824246+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-00.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-00.yaml
new file mode 100644
index 0000000..f37389e
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-00.yaml
@@ -0,0 +1,301 @@
+filename: 2026-08-06-019fd608-3a23-7c21-854f-c54ee90d8b87
+request:
+  body:
+    input:
+    - content:
+      - text: What is 2+2?
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: deepseek-v4-flash
+    reasoning:
+      effort: high
+      summary: detailed
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '164'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019fd608-3a23-7c21-854f-c54ee90d8b87
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"response","created_at":1786002291,"status":"in_progress","background":false,"completed_at":null,"content_filters":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"deepseek-v4-flash","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"high","summary":"detailed"},"safety_identifier":null,"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":null},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"response","created_at":1786002291,"status":"in_progress","background":false,"completed_at":null,"content_filters":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"deepseek-v4-flash","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"high","summary":"detailed"},"safety_identifier":null,"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":null},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"type":"reasoning","id":"21bc613b-7f19-4b70-a424-a87ac884b29a","status":"in_progress","content":[],"summary":[]},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"part":{"type":"reasoning_text","text":""},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"We","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":" need","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":" answer","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":" simple","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":".","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":" Need","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":" comply","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":10}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":".","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":11}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":" ","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":12}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"2","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":13}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"+","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":14}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"2","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"=","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"4","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":17}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.delta
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":".","item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":18}
+
+    '
+  - '
+
+    '
+  - 'event: response.reasoning_text.done
+
+    '
+  - 'data: {"type":"response.reasoning_text.done","content_index":0,"item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"sequence_number":19,"text":"We
+    need answer simple. Need comply. 2+2=4."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"21bc613b-7f19-4b70-a424-a87ac884b29a","output_index":0,"part":{"type":"reasoning_text","text":"We
+    need answer simple. Need comply. 2+2=4."},"sequence_number":20}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"type":"reasoning","id":"21bc613b-7f19-4b70-a424-a87ac884b29a","status":"completed","content":[{"type":"reasoning_text","text":"We
+    need answer simple. Need comply. 2+2=4."}],"summary":[]},"output_index":0,"sequence_number":21}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"type":"message","id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","status":"in_progress","content":[],"phase":"final_answer","role":"assistant"},"output_index":1,"sequence_number":22}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","output_index":1,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""},"sequence_number":23}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"4","item_id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","logprobs":[],"output_index":1,"sequence_number":24}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","logprobs":[],"output_index":1,"sequence_number":25,"text":"4"}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","output_index":1,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"4"},"sequence_number":26}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"type":"message","id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"4"}],"phase":"final_answer","role":"assistant"},"output_index":1,"sequence_number":27}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"dd202e25-34f0-473e-bdea-25f69fa8cca9","object":"response","created_at":1786002291,"status":"completed","background":false,"completed_at":1786002292,"content_filters":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"deepseek-v4-flash","moderation":null,"output":[{"type":"reasoning","id":"21bc613b-7f19-4b70-a424-a87ac884b29a","status":"completed","content":[{"type":"reasoning_text","text":"We
+    need answer simple. Need comply. 2+2=4."}],"summary":[]},{"type":"message","id":"513c9890-3ea4-4eb6-94e7-559cfebe1efc","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"4"}],"phase":"final_answer","role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"high","summary":"detailed"},"safety_identifier":null,"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":null},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":90,"input_tokens_details":{"cached_tokens":0},"output_tokens":17,"output_tokens_details":{"reasoning_tokens":15},"total_tokens":107},"user":null,"metadata":{}},"sequence_number":28}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-06T07:44:51.235611+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml
new file mode 100644
index 0000000..3a10c74
--- /dev/null
+++ b/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml
@@ -0,0 +1,2200 @@
+filename: 2026-08-06-019fd60a-bb6c-70f0-901c-eb2055eca676
+request:
+  body:
+    input:
+    - content:
+      - text: What is 2+2?
+        type: input_text
+      role: user
+    - content:
+      - text: We need answer simple. Need comply. 2+2=4.
+        type: reasoning_text
+      status: completed
+      summary: []
+      type: reasoning
+    - content:
+      - annotations: []
+        logprobs: []
+        text: '4'
+        type: output_text
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: What about 2*2?
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: deepseek-v4-flash
+    reasoning:
+      effort: high
+      summary: detailed
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '489'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019fd60a-bb6c-70f0-901c-eb2055eca676
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"response","created_at":1786002455,"status":"in_progress","background":false,"completed_at":null,"content_filters":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"deepseek-v4-flash","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"high","summary":"detailed"},"safety_identifier":null,"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":null},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"response","created_at":1786002455,"status":"in_progress","background":false,"completed_at":null,"content_filters":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"deepseek-v4-flash","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"high","summary":"detailed"},"safety_identifier":null,"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":null},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"type":"reasoning","id":"1aadad68-49c5-479d-96b4-6ad4e0404fd1","status":"in_progress","content":[],"summary":[]},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"1aadad68-49c5-479d-96b4-6ad4e0404fd1","output_index":0,"part":{"type":"reasoning_text","text":""},"sequence_number":3}
+
+    '
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+    '
+  - 'data: {"type":"response.reasoning_text.delta","content_index":0,"delta":"1","item_id":"1aadad68-49c5-479d-96b4-6ad4e0404fd1","output_index":0,"sequence_number":4}
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+    '
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+    '
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+    the User''s Query**:\n    *   The user first asked \"What is 2+2?\" and I (the
+    assistant) answered \"4\".\n    *   The user then asks \"What about 2*2?\".\n    *   This
+    is a straightforward arithmetic question. 2*2 = 4.\n\n2.  **Determine the appropriate
+    response**:\n    *   Give the direct answer: 4.\n    *   Acknowledge the previous
+    answer to maintain conversational flow (optional but polite). Since both result
+    in 4, I can point that out.\n\n3.  **Draft the response**:\n    *   Direct answer:
+    \"That''s also 4.\"\n    *   Add a bit of context: \"Multiplication is repeated
+    addition, so 2*2 is the same as 2+2, which equals 4.\""}
+
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+  - '
+
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+  - 'event: response.content_part.done
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+    the User''s Query**:\n    *   The user first asked \"What is 2+2?\" and I (the
+    assistant) answered \"4\".\n    *   The user then asks \"What about 2*2?\".\n    *   This
+    is a straightforward arithmetic question. 2*2 = 4.\n\n2.  **Determine the appropriate
+    response**:\n    *   Give the direct answer: 4.\n    *   Acknowledge the previous
+    answer to maintain conversational flow (optional but polite). Since both result
+    in 4, I can point that out.\n\n3.  **Draft the response**:\n    *   Direct answer:
+    \"That''s also 4.\"\n    *   Add a bit of context: \"Multiplication is repeated
+    addition, so 2*2 is the same as 2+2, which equals 4.\""},"sequence_number":185}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
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+  - 'data: {"type":"response.output_item.done","item":{"type":"reasoning","id":"1aadad68-49c5-479d-96b4-6ad4e0404fd1","status":"completed","content":[{"type":"reasoning_text","text":"1.  **Analyze
+    the User''s Query**:\n    *   The user first asked \"What is 2+2?\" and I (the
+    assistant) answered \"4\".\n    *   The user then asks \"What about 2*2?\".\n    *   This
+    is a straightforward arithmetic question. 2*2 = 4.\n\n2.  **Determine the appropriate
+    response**:\n    *   Give the direct answer: 4.\n    *   Acknowledge the previous
+    answer to maintain conversational flow (optional but polite). Since both result
+    in 4, I can point that out.\n\n3.  **Draft the response**:\n    *   Direct answer:
+    \"That''s also 4.\"\n    *   Add a bit of context: \"Multiplication is repeated
+    addition, so 2*2 is the same as 2+2, which equals 4.\""}],"summary":[]},"output_index":0,"sequence_number":186}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"type":"message","id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","status":"in_progress","content":[],"phase":"final_answer","role":"assistant"},"output_index":1,"sequence_number":187}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","output_index":1,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""},"sequence_number":188}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"That","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":189}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"''s","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":190}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" also","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":191}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" ","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":192}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"4","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":193}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":194}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" \n\n","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":195}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Since","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":196}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" multiplication","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":197}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" is","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":198}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" just","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":199}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" repeated","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":200}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" addition","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":201}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":",","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":202}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":203}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"2","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":204}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" ×","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":205}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" ","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":206}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"2","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":207}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":208}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" is","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":209}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":210}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" same","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":211}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" as","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":212}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":213}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"2","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":214}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" +","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":215}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" ","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":216}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"2","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":217}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**,","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":218}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" so","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":219}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" both","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":220}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" give","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":221}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" you","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":222}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":223}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" same","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":224}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" result","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":225}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":":","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":226}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":227}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"4","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":228}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**.","item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":229}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","logprobs":[],"output_index":1,"sequence_number":230,"text":"That''s
+    also 4. \n\nSince multiplication is just repeated addition, **2 × 2** is the same
+    as **2 + 2**, so both give you the same result: **4**."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","output_index":1,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"That''s
+    also 4. \n\nSince multiplication is just repeated addition, **2 × 2** is the same
+    as **2 + 2**, so both give you the same result: **4**."},"sequence_number":231}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"type":"message","id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"That''s
+    also 4. \n\nSince multiplication is just repeated addition, **2 × 2** is the same
+    as **2 + 2**, so both give you the same result: **4**."}],"phase":"final_answer","role":"assistant"},"output_index":1,"sequence_number":232}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"5ef831b2-2b98-47a1-947b-ea27bbb4b8e1","object":"response","created_at":1786002455,"status":"completed","background":false,"completed_at":1786002457,"content_filters":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"deepseek-v4-flash","moderation":null,"output":[{"type":"reasoning","id":"1aadad68-49c5-479d-96b4-6ad4e0404fd1","status":"completed","content":[{"type":"reasoning_text","text":"1.  **Analyze
+    the User''s Query**:\n    *   The user first asked \"What is 2+2?\" and I (the
+    assistant) answered \"4\".\n    *   The user then asks \"What about 2*2?\".\n    *   This
+    is a straightforward arithmetic question. 2*2 = 4.\n\n2.  **Determine the appropriate
+    response**:\n    *   Give the direct answer: 4.\n    *   Acknowledge the previous
+    answer to maintain conversational flow (optional but polite). Since both result
+    in 4, I can point that out.\n\n3.  **Draft the response**:\n    *   Direct answer:
+    \"That''s also 4.\"\n    *   Add a bit of context: \"Multiplication is repeated
+    addition, so 2*2 is the same as 2+2, which equals 4.\""}],"summary":[]},{"type":"message","id":"bc2504ff-2834-40d7-af48-7c9222f4f90c","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"That''s
+    also 4. \n\nSince multiplication is just repeated addition, **2 × 2** is the same
+    as **2 + 2**, so both give you the same result: **4**."}],"phase":"final_answer","role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"high","summary":"detailed"},"safety_identifier":null,"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":null},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":102,"input_tokens_details":{"cached_tokens":0},"output_tokens":222,"output_tokens_details":{"reasoning_tokens":180},"total_tokens":324},"user":null,"metadata":{}},"sequence_number":233}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-06T07:47:35.404463+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-00.yaml
new file mode 100644
index 0000000..04a01b2
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-00.yaml
@@ -0,0 +1,51 @@
+filename: 2026-08-26-01a03d4c-33bc-7e00-8794-3935c3c6c095
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '179'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a03d4c-33bc-7e00-8794-3935c3c6c095
+response:
+  body:
+    content:
+    - text: The ocean is a vast, mysterious body of water that covers most of the
+        Earth's surface.
+      type: text
+    id: resp_0dd4c16a990b6f72006a8eab094a8487d1b5a58e2a499c6bbc
+    model: gpt-4.1-nano-2025-04-14
+    role: assistant
+    stop_details: null
+    stop_reason: end_turn
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation:
+        ephemeral_1h_input_tokens: 0
+        ephemeral_5m_input_tokens: 0
+      cache_creation_input_tokens: 0
+      cache_read_input_tokens: 0
+      inference_geo: global
+      input_tokens: 15
+      output_tokens: 19
+      output_tokens_details:
+        thinking_tokens: 0
+      service_tier: standard
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-08-26T08:59:59.292391+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml
new file mode 100644
index 0000000..7728f1a
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml
@@ -0,0 +1,60 @@
+filename: 2026-08-26-01a03d4c-3e53-7533-b334-51aa20b602dd
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: text
+      role: user
+    - content:
+      - text: The ocean is a vast, mysterious body of water that covers most of the
+          Earth's surface.
+        type: text
+      role: assistant
+    - content:
+      - text: Write another about the sky.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '375'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a03d4c-3e53-7533-b334-51aa20b602dd
+response:
+  body:
+    content:
+    - text: The sky is a beautiful blue canopy that changes with the weather and time
+        of day.
+      type: text
+    id: resp_0e5e28150012cd15006a8eab0b4c9887d19ba882c0d2cb256e
+    model: gpt-4.1-nano-2025-04-14
+    role: assistant
+    stop_details: null
+    stop_reason: end_turn
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation:
+        ephemeral_1h_input_tokens: 0
+        ephemeral_5m_input_tokens: 0
+      cache_creation_input_tokens: 0
+      cache_read_input_tokens: 0
+      inference_geo: global
+      input_tokens: 47
+      output_tokens: 18
+      output_tokens_details:
+        thinking_tokens: 0
+      service_tier: standard
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-08-26T09:00:02.003528+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml
new file mode 100644
index 0000000..2fef728
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml
@@ -0,0 +1,186 @@
+filename: 2026-08-10-019fea2d-4018-7fe3-b585-87676bd73426
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Write one short sentence '
+        type: text
+      - text: about the ocean.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    anthropic-version: '2023-06-01'
+    connection: keep-alive
+    content-length: '142'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.117.0
+    x-api-key: '***'
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019fea2d-4018-7fe3-b585-87676bd73426
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-4.1-nano-2025-04-14","id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":15,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"The"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    ocean"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
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+
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+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    vast"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    and"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    blue"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    world"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":15,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":11,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-10T05:37:41.912909+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml
new file mode 100644
index 0000000..9d9aed6
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml
@@ -0,0 +1,214 @@
+filename: 2026-08-10-019fea2d-4018-7fe3-b585-87676bd73426
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Write one short sentence '
+        type: text
+      - text: about the ocean.
+        type: text
+      role: user
+    - content:
+      - type: text
+        text: The ocean is a vast and mysterious blue world.
+      role: assistant
+    - content:
+      - text: Write another about the sky.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    anthropic-version: '2023-06-01'
+    connection: keep-alive
+    content-length: '142'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.117.0
+    x-api-key: '***'
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019fea2d-4018-7fe3-b585-87676bd73426
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-4.1-nano-2025-04-14","id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":39,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"The"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    sky"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    is"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    a"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    canvas"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    of"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    endless"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    colors"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    and"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    shifting"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    clouds"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":39,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":13,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-10T05:37:41.912909+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..0bb38e4
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,58 @@
+filename: 2026-08-26-01a03d4c-285a-7810-8b61-81ad4959418c
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '187'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a03d4c-285a-7810-8b61-81ad4959418c
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      logprobs: null
+      message:
+        annotations: []
+        content: The ocean is a vast, mysterious body of water that covers most of
+          the Earth's surface.
+        refusal: null
+        role: assistant
+    created: 1787734793
+    id: resp_0dd4c16a990b6f72006a8eab094a8487d1b5a58e2a499c6bbc
+    model: gpt-4.1-nano-2025-04-14
+    object: chat.completion
+    service_tier: default
+    system_fingerprint: fp_56ee2af7a7
+    usage:
+      completion_tokens: 19
+      completion_tokens_details:
+        accepted_prediction_tokens: 0
+        audio_tokens: 0
+        reasoning_tokens: 0
+        rejected_prediction_tokens: 0
+      prompt_tokens: 15
+      prompt_tokens_details:
+        audio_tokens: 0
+        cache_write_tokens: 0
+        cached_tokens: 0
+      total_tokens: 34
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-08-26T08:59:56.378175+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..7afaa37
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-01.yaml
@@ -0,0 +1,65 @@
+filename: 2026-08-26-01a03d4c-2fa8-76d3-9562-68d7e3d67ff2
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: text
+      role: user
+    - content: The ocean is a vast, mysterious body of water that covers most of the
+        Earth's surface.
+      role: assistant
+    - content:
+      - text: Write another about the sky.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '379'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a03d4c-2fa8-76d3-9562-68d7e3d67ff2
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      logprobs: null
+      message:
+        annotations: []
+        content: The sky is a beautiful blue canopy that changes with the weather
+          and time of day.
+        refusal: null
+        role: assistant
+    created: 1787734795
+    id: resp_0e5e28150012cd15006a8eab0b4c9887d19ba882c0d2cb256e
+    model: gpt-4.1-nano-2025-04-14
+    object: chat.completion
+    service_tier: default
+    system_fingerprint: fp_92a3cedc90
+    usage:
+      completion_tokens: 18
+      completion_tokens_details:
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+        audio_tokens: 0
+        reasoning_tokens: 0
+        rejected_prediction_tokens: 0
+      prompt_tokens: 47
+      prompt_tokens_details:
+        audio_tokens: 0
+        cache_write_tokens: 0
+        cached_tokens: 0
+      total_tokens: 65
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-08-26T08:59:58.248739+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..5a992f0
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-00.yaml
@@ -0,0 +1,140 @@
+filename: 2026-08-04-019fcab6-a576-7333-888e-7c74b6ff4696
+request:
+  body:
+    messages:
+    - content:
+      - text: 'Write one short sentence '
+        type: text
+      - text: about the ocean.
+        type: text
+      role: user
+    max_completion_tokens: 1024
+    model: gpt-4.1-nano
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '189'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.52.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019fcab6-a576-7333-888e-7c74b6ff4696
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"model":"gpt-4.1-nano-2025-04-14","service_tier":"default","system_fingerprint":"fp_92a3cedc90","choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"logprobs":null,"finish_reason":null}],"usage":null}
+
+
+    '
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+    '
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+
+
+    '
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+
+    '
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+
+
+    '
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+    '
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+
+
+    '
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+
+    '
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+
+
+    '
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+
+    '
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+
+
+    '
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+    '
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+
+
+    '
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+    '
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+
+
+    '
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+    '
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+
+
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+
+
+    '
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+    '
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+
+
+    '
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+
+    '
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+
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-04T02:59:55.382149+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..603ef68
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-stream-01.yaml
@@ -0,0 +1,162 @@
+filename: 2026-08-04-019fcab6-aa6d-7952-9640-a1c0397d453f
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: 'Write one short sentence '
+        type: text
+      - text: about the ocean.
+        type: text
+      role: user
+    - content: The ocean is a vast and mysterious blue world.
+      role: assistant
+    - content:
+      - text: Write another about the sky.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '326'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.52.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019fcab6-aa6d-7952-9640-a1c0397d453f
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
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+
+
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+
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+
+
+    '
+  - '
+
+    '
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+
+
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+
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+
+
+    '
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+
+
+    '
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+
+
+    '
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+
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+    '
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+    '
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+
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+    '
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+
+
+    '
+  - '
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+    '
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+
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-04T02:59:56.653405+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-00.yaml
new file mode 100644
index 0000000..963f2bd
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-00.yaml
@@ -0,0 +1,102 @@
+filename: 2026-08-26-01a03d4c-17b9-7cb2-9c30-ed819c7b52b9
+request:
+  body:
+    input:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: gpt-4.1-nano
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '192'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a03d4c-17b9-7cb2-9c30-ed819c7b52b9
+response:
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+    incomplete_details: null
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+    max_tool_calls: null
+    metadata: {}
+    model: gpt-4.1-nano-2025-04-14
+    moderation: null
+    object: response
+    output:
+    - content:
+      - annotations: []
+        logprobs: []
+        text: The ocean is a vast, mysterious body of water that covers most of the
+          Earth's surface.
+        type: output_text
+      id: msg_0dd4c16a990b6f72006a8eab0a8d9487d19bae951ffd27c56e
+      role: assistant
+      status: completed
+      type: message
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+    prompt_cache_retention: in_memory
+    reasoning:
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+      effort: null
+      summary: null
+    safety_identifier: null
+    service_tier: default
+    status: completed
+    store: true
+    temperature: 1.0
+    text:
+      format:
+        type: text
+      verbosity: medium
+    tool_choice: auto
+    tool_usage:
+      image_gen:
+        input_tokens: 0
+        input_tokens_details:
+          image_tokens: 0
+          text_tokens: 0
+        output_tokens: 0
+        output_tokens_details:
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+        total_tokens: 0
+      web_search:
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+    tools: []
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+    truncation: disabled
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+      output_tokens_details:
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+      total_tokens: 34
+    user: null
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-08-26T08:59:52.122053+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-01.yaml
new file mode 100644
index 0000000..68de530
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-responses-non_stream-01.yaml
@@ -0,0 +1,115 @@
+filename: 2026-08-26-01a03d4c-2387-7852-b851-cf613c7e450a
+request:
+  body:
+    input:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: The ocean is a vast, mysterious body of water that covers most of the
+          Earth's surface.
+        type: output_text
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Write another about the sky.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: gpt-4.1-nano
+  headers:
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+    accept-encoding: gzip, deflate
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+    connection: keep-alive
+    content-length: '469'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a03d4c-2387-7852-b851-cf613c7e450a
+response:
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+    max_tool_calls: null
+    metadata: {}
+    model: gpt-4.1-nano-2025-04-14
+    moderation: null
+    object: response
+    output:
+    - content:
+      - annotations: []
+        logprobs: []
+        text: The sky is a beautiful blue canopy that changes with the weather and
+          time of day.
+        type: output_text
+      id: msg_0e5e28150012cd15006a8eab0ba86887d1a51d488d954b245f
+      role: assistant
+      status: completed
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+    service_tier: default
+    status: completed
+    store: true
+    temperature: 1.0
+    text:
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+    tool_choice: auto
+    tool_usage:
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+        output_tokens_details:
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+      web_search:
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+    tools: []
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+      output_tokens_details:
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+    user: null
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-08-26T08:59:55.143833+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/openai-responses-stream-00.yaml
new file mode 100644
index 0000000..22c92ef
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-responses-stream-00.yaml
@@ -0,0 +1,200 @@
+filename: 2026-08-04-019fcaa4-df5c-7232-b1d7-bc32cd7b9e95
+request:
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+    input:
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+      - text: 'Write one short sentence '
+        type: input_text
+      - text: about the ocean.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: gpt-4.1-nano
+    stream: true
+    stream_options:
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+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '137'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.52.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019fcaa4-df5c-7232-b1d7-bc32cd7b9e95
+response:
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+  sse:
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+
+    '
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+
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+    '
+  - 'event: response.output_text.delta
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+    '
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+    '
+  - 'event: response.output_text.delta
+
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+    '
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+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_0ea065b293c73ac2006a715122f474819a858ae67864aa6dcd","logprobs":[],"output_index":0,"sequence_number":14,"text":"The
+    ocean is a vast and mysterious blue world."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_0ea065b293c73ac2006a715122f474819a858ae67864aa6dcd","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    ocean is a vast and mysterious blue world."},"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"msg_0ea065b293c73ac2006a715122f474819a858ae67864aa6dcd","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    ocean is a vast and mysterious blue world."}],"role":"assistant"},"output_index":0,"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"response","created_at":1785811231,"status":"completed","background":false,"completed_at":1785811235,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"gpt-4.1-nano-2025-04-14","moderation":null,"output":[{"id":"msg_0ea065b293c73ac2006a715122f474819a858ae67864aa6dcd","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    ocean is a vast and mysterious blue world."}],"role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"context":null,"effort":null,"summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":15,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":11,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":26},"user":null,"metadata":{}},"sequence_number":17}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-04T02:40:30.556290+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/openai-responses-stream-01.yaml
new file mode 100644
index 0000000..3a3914c
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/openai-responses-stream-01.yaml
@@ -0,0 +1,230 @@
+filename: 2026-08-04-019fcaa7-64e4-7773-88d0-959c5b7036f4
+request:
+  body:
+    input:
+    - content:
+      - text: 'Write one short sentence '
+        type: input_text
+      - text: about the ocean.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: The ocean is a vast and mysterious blue world.
+        type: output_text
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Write another about the sky.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: gpt-4.1-nano
+    stream: true
+    stream_options:
+      include_obfuscation: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '302'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.52.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019fcaa7-64e4-7773-88d0-959c5b7036f4
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"response","created_at":1785811396,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"gpt-4.1-nano-2025-04-14","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"context":null,"effort":null,"summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"response","created_at":1785811396,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"gpt-4.1-nano-2025-04-14","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"context":null,"effort":null,"summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","type":"message","status":"in_progress","content":[],"role":"assistant"},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"The","item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","logprobs":[],"output_index":0,"sequence_number":4}
+
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+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" sky","item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","logprobs":[],"output_index":0,"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" is","item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","logprobs":[],"output_index":0,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" a","item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","logprobs":[],"output_index":0,"sequence_number":7}
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+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" canvas","item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","logprobs":[],"output_index":0,"sequence_number":8}
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+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+
+    '
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+
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+
+    '
+  - 'event: response.output_text.delta
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+
+    '
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+
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+    '
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+
+    '
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+    '
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+    sky is a canvas of endless colors and shifting clouds."}
+
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+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    sky is a canvas of endless colors and shifting clouds."},"sequence_number":17}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
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+    sky is a canvas of endless colors and shifting clouds."}],"role":"assistant"},"output_index":0,"sequence_number":18}
+
+    '
+  - '
+
+    '
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+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"response","created_at":1785811396,"status":"completed","background":false,"completed_at":1785811396,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"gpt-4.1-nano-2025-04-14","moderation":null,"output":[{"id":"msg_09c2f61db793cbc4006a7151c48648819a8e59e8e16cdc447a","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    sky is a canvas of endless colors and shifting clouds."}],"role":"assistant"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"context":null,"effort":null,"summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":39,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":13,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":52},"user":null,"metadata":{}},"sequence_number":19}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-04T02:43:15.812018+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..c7b60a8
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,61 @@
+filename: 2026-10-15-01a13eae-eda2-7e50-9a94-401b0183f5c1
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    reasoning:
+      enabled: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '224'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+    x-run-id: simple_text/togetherai-chat_completions-non_stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a13eae-eda2-7e50-9a94-401b0183f5c1
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      logprobs: null
+      message:
+        content: The ocean is a vast, mysterious body of water that covers most of
+          the Earth's surface.
+        role: assistant
+        tool_calls: []
+      seed: null
+    created: 1787734793
+    id: resp_0dd4c16a990b6f72006a8eab094a8487d1b5a58e2a499c6bbc
+    metadata:
+      weight_version: default
+    model: gpt-4.1-nano-2025-04-14
+    object: chat.completion
+    prompt: []
+    service_tier: default
+    usage:
+      completion_tokens: 19
+      completion_tokens_details:
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+      prompt_tokens: 15
+      prompt_tokens_details:
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+        cached_tokens: 0
+      reasoning_tokens: 0
+      total_tokens: 34
+  headers:
+    connection: keep-alive
+    content-type: application/json; charset=utf-8
+  status_code: 200
+timestamp: '2026-10-15T08:30:13.922497+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..57604cd
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-01.yaml
@@ -0,0 +1,68 @@
+filename: 2026-10-15-01a13eae-f0ef-74f0-bcaf-d4d719eef1e9
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Write one short sentence about the ocean.
+        type: text
+      role: user
+    - content: The ocean is a vast, mysterious body of water that covers most of the
+        Earth's surface.
+      role: assistant
+    - content:
+      - text: Write another about the sky.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    reasoning:
+      enabled: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '459'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+    x-run-id: simple_text/togetherai-chat_completions-non_stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a13eae-f0ef-74f0-bcaf-d4d719eef1e9
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      logprobs: null
+      message:
+        content: The sky is a beautiful blue canopy that changes with the weather
+          and time of day.
+        role: assistant
+        tool_calls: []
+      seed: null
+    created: 1787734795
+    id: resp_0e5e28150012cd15006a8eab0b4c9887d19ba882c0d2cb256e
+    metadata:
+      weight_version: default
+    model: gpt-4.1-nano-2025-04-14
+    object: chat.completion
+    prompt: []
+    service_tier: default
+    usage:
+      completion_tokens: 18
+      completion_tokens_details:
+        reasoning_tokens: 0
+      prompt_tokens: 47
+      prompt_tokens_details:
+        cache_write_tokens: 0
+        cached_tokens: 0
+      reasoning_tokens: 0
+      total_tokens: 65
+  headers:
+    connection: keep-alive
+    content-type: application/json; charset=utf-8
+  status_code: 200
+timestamp: '2026-10-15T08:30:14.767218+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..2524e2f
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,138 @@
+filename: 2026-10-13-01a135b5-a06c-7a03-9990-1c591afcc324
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: 'Write one short sentence '
+        type: text
+      - text: about the ocean.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '263'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: simple_text/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b5-a06c-7a03-9990-1c591afcc324
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"The","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"The","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    ocean","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    ocean","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    is","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    is","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" a","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    vast","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    vast","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    and","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    mysterious","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    mysterious","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    blue","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    blue","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"
+    world","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    world","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0ea065b293c73ac2006a71511fb804819ab9ed58840240ddd0","object":"chat.completion.chunk","created":1785811231,"choices":[],"model":"gpt-4.1-nano-2025-04-14","usage":{"prompt_tokens":15,"total_tokens":26,"completion_tokens":11,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:40:57.964879+00:00'
diff --git a/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..66d345b
--- /dev/null
+++ b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,160 @@
+filename: 2026-10-13-01a135b5-a376-74f1-999c-9dba190456db
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: 'Write one short sentence '
+        type: text
+      - text: about the ocean.
+        type: text
+      role: user
+    - content: The ocean is a vast and mysterious blue world.
+      role: assistant
+    - content:
+      - text: Write another about the sky.
+        type: text
+      role: user
+    model: gpt-4.1-nano
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '498'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: simple_text/togetherai-chat_completions-stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b5-a376-74f1-999c-9dba190456db
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"The","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"The","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    sky","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    sky","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    is","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    is","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" a","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    canvas","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    canvas","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    of","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    of","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    endless","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    endless","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    colors","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    colors","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    and","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    shifting","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    shifting","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"
+    clouds","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    clouds","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-4.1-nano-2025-04-14","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09c2f61db793cbc4006a7151c41938819a8d1b0455f16be9dc","object":"chat.completion.chunk","created":1785811396,"choices":[],"model":"gpt-4.1-nano-2025-04-14","usage":{"prompt_tokens":39,"total_tokens":52,"completion_tokens":13,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:40:58.742308+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-00.yaml
new file mode 100644
index 0000000..73914d2
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-00.yaml
@@ -0,0 +1,288 @@
+filename: 2026-08-13-019ffb45-fc69-7903-aa84-bef25d198a11
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      type: auto
+    tools:
+    - description: Execute bash commands.
+      input_schema:
+        additionalProperties: false
+        properties:
+          command:
+            description: Shell command to execute.
+            maxLength: 200
+            minLength: 1
+            type: string
+        required:
+        - command
+        type: object
+      name: Bash
+    - description: Get the current date and time in UTC (ISO 8601 format).
+      input_schema:
+        additionalProperties: false
+        properties: {}
+        type: object
+      name: DateTime
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '696'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019ffb45-fc69-7903-aa84-bef25d198a11
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":186,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"I"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"’ll"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    first"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    run"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    requested"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    five"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"-second"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    sleep"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"call_MdFqoCBvXRzjO16kvaXaSLGU","name":"Bash","input":{},"caller":{"type":"direct"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"command"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"\":\""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"sleep"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"
+    "}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"5"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"\"}"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":186,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":37,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:15.657633+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-01.yaml
new file mode 100644
index 0000000..d9d3f3a
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-01.yaml
@@ -0,0 +1,329 @@
+filename: 2026-08-13-019ffb46-01d0-7843-9406-65863abee14a
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    - content:
+      - text: I’ll first run the requested five-second sleep.
+        type: text
+      - id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        input:
+          command: sleep 5
+        name: Bash
+        type: tool_use
+      role: assistant
+    - content:
+      - content:
+        - text: '<returncode>
+
+
+            0
+
+
+            </returncode>
+
+
+            <stdout>
+
+
+
+            </stdout>
+
+
+            <stderr>
+
+
+
+            </stderr>'
+          type: text
+        tool_use_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        type: tool_result
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      type: auto
+    tools:
+    - description: Execute bash commands.
+      input_schema:
+        additionalProperties: false
+        properties:
+          command:
+            description: Shell command to execute.
+            maxLength: 200
+            minLength: 1
+            type: string
+        required:
+        - command
+        type: object
+      name: Bash
+    - description: Get the current date and time in UTC (ISO 8601 format).
+      input_schema:
+        additionalProperties: false
+        properties: {}
+        type: object
+      name: DateTime
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '1248'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019ffb46-01d0-7843-9406-65863abee14a
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":256,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"The"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    sleep"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    completed"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    successfully"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    I"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"’ll"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    now"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    retrieve"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    the"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    current"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    UTC"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    date"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    and"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    time"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"call_moHJDZFxz30lFKNAhnfhzsMN","name":"DateTime","input":{},"caller":{"type":"direct"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{}"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":256,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":37,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:17.040270+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-02.yaml b/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-02.yaml
new file mode 100644
index 0000000..9486cfe
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/anthropic-messages-stream-02.yaml
@@ -0,0 +1,364 @@
+filename: 2026-08-13-019ffb46-0618-7252-a144-4f144b4235d9
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    - content:
+      - text: I’ll first run the requested five-second sleep.
+        type: text
+      - id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        input:
+          command: sleep 5
+        name: Bash
+        type: tool_use
+      role: assistant
+    - content:
+      - content:
+        - text: '<returncode>
+
+
+            0
+
+
+            </returncode>
+
+
+            <stdout>
+
+
+
+            </stdout>
+
+
+            <stderr>
+
+
+
+            </stderr>'
+          type: text
+        tool_use_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        type: tool_result
+      role: user
+    - content:
+      - text: The sleep completed successfully. I’ll now retrieve the current UTC
+          date and time.
+        type: text
+      - id: call_moHJDZFxz30lFKNAhnfhzsMN
+        input: {}
+        name: DateTime
+        type: tool_use
+      role: assistant
+    - content:
+      - content:
+        - text: 'Current UTC datetime (ISO 8601 format): 2026-08-03T04:25:45.279896+00:00
+
+
+            Current UTC day name: Monday'
+          type: text
+        tool_use_id: call_moHJDZFxz30lFKNAhnfhzsMN
+        type: tool_result
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      type: auto
+    tools:
+    - description: Execute bash commands.
+      input_schema:
+        additionalProperties: false
+        properties:
+          command:
+            description: Shell command to execute.
+            maxLength: 200
+            minLength: 1
+            type: string
+        required:
+        - command
+        type: object
+      name: Bash
+    - description: Get the current date and time in UTC (ISO 8601 format).
+      input_schema:
+        additionalProperties: false
+        properties: {}
+        type: object
+      name: DateTime
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '1799'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 019ffb46-0618-7252-a144-4f144b4235d9
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":341,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"202"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"6"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"-"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"08"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"-"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"03"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"T"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"04"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"25"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"45"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"279"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"896"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"+"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"00"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"00"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    ("}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Monday"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":")"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":341,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":26,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:18.136237+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..accb306
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-00.yaml
@@ -0,0 +1,201 @@
+filename: 2026-08-13-019ffb46-80c7-79a1-8a77-ce48acf3a534
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Execute bash commands.
+        name: Bash
+        parameters:
+          additionalProperties: false
+          properties:
+            command:
+              description: Shell command to execute.
+              maxLength: 200
+              minLength: 1
+              type: string
+          required:
+          - command
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Get the current date and time in UTC (ISO 8601 format).
+        name: DateTime
+        parameters:
+          additionalProperties: false
+          properties: {}
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '882'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019ffb46-80c7-79a1-8a77-ce48acf3a534
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"I"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"’ll"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    first"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    run"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    the"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    requested"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    five"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"-second"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    sleep"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"."},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":null,"tool_calls":[{"index":0,"id":"call_MdFqoCBvXRzjO16kvaXaSLGU","type":"function","function":{"name":"Bash","arguments":""}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\""}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"command"}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\":\""}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"sleep"}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"
+    "}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"5"}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"\"}"}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"finish_reason":"tool_calls"}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[],"usage":{"prompt_tokens":186,"completion_tokens":37,"total_tokens":223,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:49.543459+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..6af25c4
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml
@@ -0,0 +1,239 @@
+filename: 2026-08-13-019ffb46-880b-74d1-b7ef-fcb22a66206f
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    - content: I’ll first run the requested five-second sleep.
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"command":"sleep 5"}'
+          name: Bash
+        id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        type: function
+    - content:
+      - text: '<returncode>
+
+
+          0
+
+
+          </returncode>
+
+
+          <stdout>
+
+
+
+          </stdout>
+
+
+          <stderr>
+
+
+
+          </stderr>'
+        type: text
+      role: tool
+      tool_call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Execute bash commands.
+        name: Bash
+        parameters:
+          additionalProperties: false
+          properties:
+            command:
+              description: Shell command to execute.
+              maxLength: 200
+              minLength: 1
+              type: string
+          required:
+          - command
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Get the current date and time in UTC (ISO 8601 format).
+        name: DateTime
+        parameters:
+          additionalProperties: false
+          properties: {}
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1268'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019ffb46-880b-74d1-b7ef-fcb22a66206f
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"The"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    sleep"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    completed"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    successfully"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"."},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    I"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"’ll"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    now"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    retrieve"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    the"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    current"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    UTC"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    date"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    and"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    time"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"."},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":null,"tool_calls":[{"index":0,"id":"call_moHJDZFxz30lFKNAhnfhzsMN","type":"function","function":{"name":"DateTime","arguments":""}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{}"}}]},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"finish_reason":"tool_calls"}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[],"usage":{"prompt_tokens":256,"completion_tokens":37,"total_tokens":293,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:51.403525+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-02.yaml b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-02.yaml
new file mode 100644
index 0000000..1417ef4
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-02.yaml
@@ -0,0 +1,269 @@
+filename: 2026-08-13-019ffb46-8ced-7231-92d4-b93443771503
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    - content: I’ll first run the requested five-second sleep.
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"command":"sleep 5"}'
+          name: Bash
+        id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        type: function
+    - content:
+      - text: '<returncode>
+
+
+          0
+
+
+          </returncode>
+
+
+          <stdout>
+
+
+
+          </stdout>
+
+
+          <stderr>
+
+
+
+          </stderr>'
+        type: text
+      role: tool
+      tool_call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+    - content: The sleep completed successfully. I’ll now retrieve the current UTC
+        date and time.
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{}'
+          name: DateTime
+        id: call_moHJDZFxz30lFKNAhnfhzsMN
+        type: function
+    - content:
+      - text: 'Current UTC datetime (ISO 8601 format): 2026-08-03T04:25:45.279896+00:00
+
+
+          Current UTC day name: Monday'
+        type: text
+      role: tool
+      tool_call_id: call_moHJDZFxz30lFKNAhnfhzsMN
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Execute bash commands.
+        name: Bash
+        parameters:
+          additionalProperties: false
+          properties:
+            command:
+              description: Shell command to execute.
+              maxLength: 200
+              minLength: 1
+              type: string
+          required:
+          - command
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Get the current date and time in UTC (ISO 8601 format).
+        name: DateTime
+        parameters:
+          additionalProperties: false
+          properties: {}
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1673'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 019ffb46-8ced-7231-92d4-b93443771503
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"202"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"6"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"-"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"08"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
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diff --git a/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-00.yaml
new file mode 100644
index 0000000..3a63941
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-00.yaml
@@ -0,0 +1,328 @@
+filename: 2026-08-13-019ffb46-6eb6-7622-8df7-65bdbc675d69
+request:
+  body:
+    input:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: input_text
+      role: user
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
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+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tools:
+    - description: Execute bash commands.
+      name: Bash
+      parameters:
+        additionalProperties: false
+        properties:
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+            maxLength: 200
+            minLength: 1
+            type: string
+        required:
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+        type: object
+      strict: false
+      type: function
+    - description: Get the current date and time in UTC (ISO 8601 format).
+      name: DateTime
+      parameters:
+        additionalProperties: false
+        properties: {}
+        type: object
+      strict: false
+      type: function
+  headers:
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+    connection: keep-alive
+    content-length: '832'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019ffb46-6eb6-7622-8df7-65bdbc675d69
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+    '
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+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"response","created_at":1786627125,"status":"completed","background":false,"completed_at":1786627126,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"msg_0a7add5f93f55b30006a7dc435c57c8198b982c269b5d9b4c1","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"I’ll
+    first run the requested five-second sleep."}],"phase":"commentary","role":"assistant"},{"id":"fc_0a7add5f93f55b30006a7dc436151c8198b456b940b602f404","type":"function_call","status":"completed","arguments":"{\"command\":\"sleep
+    5\"}","call_id":"call_MdFqoCBvXRzjO16kvaXaSLGU","name":"Bash"}],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Execute
+    bash commands.","name":"Bash","output_schema":null,"parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell
+    command to execute.","maxLength":200,"minLength":1}},"required":["command"],"additionalProperties":false},"strict":false},{"type":"function","description":"Get
+    the current date and time in UTC (ISO 8601 format).","name":"DateTime","output_schema":null,"parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":186,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":37,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":223},"user":null,"metadata":{}},"sequence_number":27}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:44.918634+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-01.yaml
new file mode 100644
index 0000000..26946fe
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-01.yaml
@@ -0,0 +1,365 @@
+filename: 2026-08-13-019ffb46-7707-7de3-814d-7287a773857a
+request:
+  body:
+    input:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: I’ll first run the requested five-second sleep.
+        type: output_text
+      id: msg_0a7add5f93f55b30006a7dc435c57c8198b982c269b5d9b4c1
+      phase: commentary
+      role: assistant
+      status: completed
+      type: message
+    - arguments: '{"command":"sleep 5"}'
+      call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+      name: Bash
+      status: completed
+      type: function_call
+    - call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+      output:
+      - text: '<returncode>
+
+
+          0
+
+
+          </returncode>
+
+
+          <stdout>
+
+
+
+          </stdout>
+
+
+          <stderr>
+
+
+
+          </stderr>'
+        type: input_text
+      type: function_call_output
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tools:
+    - description: Execute bash commands.
+      name: Bash
+      parameters:
+        additionalProperties: false
+        properties:
+          command:
+            description: Shell command to execute.
+            maxLength: 200
+            minLength: 1
+            type: string
+        required:
+        - command
+        type: object
+      strict: false
+      type: function
+    - description: Get the current date and time in UTC (ISO 8601 format).
+      name: DateTime
+      parameters:
+        additionalProperties: false
+        properties: {}
+        type: object
+      strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1476'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 019ffb46-7707-7de3-814d-7287a773857a
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"response","created_at":1786627127,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Execute
+    bash commands.","name":"Bash","output_schema":null,"parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell
+    command to execute.","maxLength":200,"minLength":1}},"required":["command"],"additionalProperties":false},"strict":false},{"type":"function","description":"Get
+    the current date and time in UTC (ISO 8601 format).","name":"DateTime","output_schema":null,"parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"response","created_at":1786627127,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Execute
+    bash commands.","name":"Bash","output_schema":null,"parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell
+    command to execute.","maxLength":200,"minLength":1}},"required":["command"],"additionalProperties":false},"strict":false},{"type":"function","description":"Get
+    the current date and time in UTC (ISO 8601 format).","name":"DateTime","output_schema":null,"parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","type":"message","status":"in_progress","content":[],"phase":"commentary","role":"assistant"},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"The","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" sleep","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" completed","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" successfully","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" I","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"’ll","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":10}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" now","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":11}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" retrieve","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":12}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" the","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":13}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" current","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":14}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" UTC","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" date","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" and","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":17}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" time","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":18}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":19}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","logprobs":[],"output_index":0,"sequence_number":20,"text":"The
+    sleep completed successfully. I’ll now retrieve the current UTC date and time."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    sleep completed successfully. I’ll now retrieve the current UTC date and time."},"sequence_number":21}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    sleep completed successfully. I’ll now retrieve the current UTC date and time."}],"phase":"commentary","role":"assistant"},"output_index":0,"sequence_number":22}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"fc_0a7add5f93f55b30006a7dc437f2d481988e1faf79b9083250","type":"function_call","status":"in_progress","arguments":"","call_id":"call_moHJDZFxz30lFKNAhnfhzsMN","name":"DateTime"},"output_index":1,"sequence_number":23}
+
+    '
+  - '
+
+    '
+  - 'event: response.function_call_arguments.delta
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","delta":"{}","item_id":"fc_0a7add5f93f55b30006a7dc437f2d481988e1faf79b9083250","output_index":1,"sequence_number":24}
+
+    '
+  - '
+
+    '
+  - 'event: response.function_call_arguments.done
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","arguments":"{}","item_id":"fc_0a7add5f93f55b30006a7dc437f2d481988e1faf79b9083250","output_index":1,"sequence_number":25}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"fc_0a7add5f93f55b30006a7dc437f2d481988e1faf79b9083250","type":"function_call","status":"completed","arguments":"{}","call_id":"call_moHJDZFxz30lFKNAhnfhzsMN","name":"DateTime"},"output_index":1,"sequence_number":26}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"response","created_at":1786627127,"status":"completed","background":false,"completed_at":1786627128,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    sleep completed successfully. I’ll now retrieve the current UTC date and time."}],"phase":"commentary","role":"assistant"},{"id":"fc_0a7add5f93f55b30006a7dc437f2d481988e1faf79b9083250","type":"function_call","status":"completed","arguments":"{}","call_id":"call_moHJDZFxz30lFKNAhnfhzsMN","name":"DateTime"}],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Execute
+    bash commands.","name":"Bash","output_schema":null,"parameters":{"type":"object","properties":{"command":{"type":"string","description":"Shell
+    command to execute.","maxLength":200,"minLength":1}},"required":["command"],"additionalProperties":false},"strict":false},{"type":"function","description":"Get
+    the current date and time in UTC (ISO 8601 format).","name":"DateTime","output_schema":null,"parameters":{"type":"object","properties":{},"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":256,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":37,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":293},"user":null,"metadata":{}},"sequence_number":27}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-13T13:18:47.047574+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml
new file mode 100644
index 0000000..9b054a8
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml
@@ -0,0 +1,407 @@
+filename: 2026-08-13-019ffb46-7c09-7060-a8dd-cf3774c025e9
+request:
+  body:
+    input:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: I’ll first run the requested five-second sleep.
+        type: output_text
+      id: msg_0a7add5f93f55b30006a7dc435c57c8198b982c269b5d9b4c1
+      phase: commentary
+      role: assistant
+      status: completed
+      type: message
+    - arguments: '{"command":"sleep 5"}'
+      call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+      name: Bash
+      status: completed
+      type: function_call
+    - call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+      output:
+      - text: '<returncode>
+
+
+          0
+
+
+          </returncode>
+
+
+          <stdout>
+
+
+
+          </stdout>
+
+
+          <stderr>
+
+
+
+          </stderr>'
+        type: input_text
+      type: function_call_output
+    - content:
+      - annotations: []
+        logprobs: []
+        text: The sleep completed successfully. I’ll now retrieve the current UTC
+          date and time.
+        type: output_text
+      id: msg_0a7add5f93f55b30006a7dc437b4848198853a0831a2f3ef34
+      phase: commentary
+      role: assistant
+      status: completed
+      type: message
+    - arguments: '{}'
+      call_id: call_moHJDZFxz30lFKNAhnfhzsMN
+      name: DateTime
+      status: completed
+      type: function_call
+    - call_id: call_moHJDZFxz30lFKNAhnfhzsMN
+      output:
+        - text: 'Current UTC datetime (ISO 8601 format): 2026-08-03T04:25:45.279896+00:00
+
+
+            Current UTC day name: Monday'
+          type: input_text
+      type: function_call_output
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tools:
+    - description: Execute bash commands.
+      name: Bash
+      parameters:
+        additionalProperties: false
+        properties:
+          command:
+            description: Shell command to execute.
+            maxLength: 200
+            minLength: 1
+            type: string
+        required:
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diff --git a/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..909fa22
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,211 @@
+filename: 2026-10-13-01a135b7-1533-76a0-a8b1-c87c2fc84d0e
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+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":"call_MdFqoCBvXRzjO16kvaXaSLGU","index":0,"type":"function","function":{"name":"Bash","arguments":""}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"{\""}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"command"}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"\":\""}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"sleep"}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"
+    "}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"5"}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"\"}"}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"tool_calls","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43543cc8198b1ae7057d8afb153","object":"chat.completion.chunk","created":1786627125,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":186,"total_tokens":223,"completion_tokens":37,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:33.395204+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..a78fa30
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,254 @@
+filename: 2026-10-13-01a135b7-182d-78b0-89ea-3740df26b925
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    - content: I’ll first run the requested five-second sleep.
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"command":"sleep 5"}'
+          name: Bash
+        id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        type: function
+    - content:
+      - text: '<returncode>
+
+
+          0
+
+
+          </returncode>
+
+
+          <stdout>
+
+
+
+          </stdout>
+
+
+          <stderr>
+
+
+
+          </stderr>'
+        type: text
+      role: tool
+      tool_call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Execute bash commands.
+        name: Bash
+        parameters:
+          additionalProperties: false
+          properties:
+            command:
+              description: Shell command to execute.
+              maxLength: 200
+              minLength: 1
+              type: string
+          required:
+          - command
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Get the current date and time in UTC (ISO 8601 format).
+        name: DateTime
+        parameters:
+          additionalProperties: false
+          properties: {}
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1317'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: tool_call/togetherai-chat_completions-stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b7-182d-78b0-89ea-3740df26b925
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"The","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"The","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    sleep","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    sleep","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    completed","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    completed","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    successfully","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    successfully","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    I","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" I","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"’ll","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’ll","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    now","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    now","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    retrieve","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    retrieve","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    the","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    the","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    current","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    current","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    UTC","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    UTC","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    date","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    date","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    and","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"
+    time","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    time","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":"call_moHJDZFxz30lFKNAhnfhzsMN","index":0,"type":"function","function":{"name":"DateTime","arguments":""}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":0,"type":"function","function":{"name":null,"arguments":"{}"}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"tool_calls","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc437302c8198b45749912452b75d","object":"chat.completion.chunk","created":1786627127,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":256,"total_tokens":293,"completion_tokens":37,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:34.157538+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml
new file mode 100644
index 0000000..38e4443
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml
@@ -0,0 +1,273 @@
+filename: 2026-10-13-01a135b7-1be9-71d1-8ef2-e16d5af25a89
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call Bash with command `sleep 5`, then call DateTime and respond with
+          its result. Describe your action before calling each tool.
+        type: text
+      role: user
+    - content: I’ll first run the requested five-second sleep.
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"command":"sleep 5"}'
+          name: Bash
+        id: call_MdFqoCBvXRzjO16kvaXaSLGU
+        type: function
+    - content:
+      - text: '<returncode>
+
+
+          0
+
+
+          </returncode>
+
+
+          <stdout>
+
+
+
+          </stdout>
+
+
+          <stderr>
+
+
+
+          </stderr>'
+        type: text
+      role: tool
+      tool_call_id: call_MdFqoCBvXRzjO16kvaXaSLGU
+    - content: The sleep completed successfully. I’ll now retrieve the current UTC
+        date and time.
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{}'
+          name: DateTime
+        id: call_moHJDZFxz30lFKNAhnfhzsMN
+        type: function
+    - content:
+      - text: 'Current UTC datetime (ISO 8601 format): 2026-08-03T04:25:45.279896+00:00
+
+
+          Current UTC day name: Monday'
+        type: text
+      role: tool
+      tool_call_id: call_moHJDZFxz30lFKNAhnfhzsMN
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Execute bash commands.
+        name: Bash
+        parameters:
+          additionalProperties: false
+          properties:
+            command:
+              description: Shell command to execute.
+              maxLength: 200
+              minLength: 1
+              type: string
+          required:
+          - command
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Get the current date and time in UTC (ISO 8601 format).
+        name: DateTime
+        parameters:
+          additionalProperties: false
+          properties: {}
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1803'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: tool_call/togetherai-chat_completions-stream-02.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b7-1be9-71d1-8ef2-e16d5af25a89
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"choices":[{"index":0,"text":"202","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"202","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"choices":[{"index":0,"text":"6","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"6","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"choices":[{"index":0,"text":"-","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"-","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
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+
+    '
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+
+    '
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+    '
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+    '
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+
+    '
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+
+    '
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+
+    '
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+
+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_0a7add5f93f55b30006a7dc43875448198b2a3086204e46630","object":"chat.completion.chunk","created":1786627128,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":341,"total_tokens":367,"completion_tokens":26,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:35.113727+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml
new file mode 100644
index 0000000..0dd40e8
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml
@@ -0,0 +1,167 @@
+filename: 2026-08-19-01a0199a-08f3-7e52-bc7d-9addb90a3b1c
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call a tool.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      name: read_file
+      type: tool
+    tools:
+    - description: Read a file.
+      input_schema:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      name: read_file
+    - description: Read an image.
+      input_schema:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      name: read_image
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '673'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a0199a-08f3-7e52-bc7d-9addb90a3b1c
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":148,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"call_6RQ8tlaNl5225QIJqygCVfFH","name":"read_file","input":{},"caller":{"type":"direct"}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"{\""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"file"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"_path"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"\":\""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":".\""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"}"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":148,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":19,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:38:40.371753+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml
new file mode 100644
index 0000000..744a7a5
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml
@@ -0,0 +1,222 @@
+filename: 2026-08-19-01a0199a-0dee-7f23-a51c-f44c500260a6
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call a tool.
+        type: text
+      role: user
+    - content:
+      - id: call_6RQ8tlaNl5225QIJqygCVfFH
+        input:
+          file_path: .
+        name: read_file
+        type: tool_use
+      role: assistant
+    - content:
+      - content:
+        - text: Malaysia
+          type: text
+        tool_use_id: call_6RQ8tlaNl5225QIJqygCVfFH
+        type: tool_result
+      role: user
+    - content:
+      - text: What are the contents?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Read a file.
+      input_schema:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      name: read_file
+    - description: Read an image.
+      input_schema:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      name: read_image
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '984'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a0199a-0dee-7f23-a51c-f44c500260a6
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":188,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"The"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    contents"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    are"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    **"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"“"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Malaysia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"”"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"**"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":188,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":14,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:38:41.646379+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..83ca6b3
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-00.yaml
@@ -0,0 +1,134 @@
+filename: 2026-08-19-01a0199a-7cdd-7f61-9490-0260dc068172
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call a tool.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tool_choice:
+      function:
+        name: read_file
+      type: function
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Read an image.
+        name: read_image
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '843'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a0199a-7cdd-7f61-9490-0260dc068172
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":null,"refusal":null},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
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+
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+
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+
+    '
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+
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+
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+
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+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"finish_reason":"tool_calls"}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[],"usage":{"prompt_tokens":148,"completion_tokens":19,"total_tokens":167,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:39:10.045194+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..9f2d3a2
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-01.yaml
@@ -0,0 +1,168 @@
+filename: 2026-08-19-01a0199a-8308-7251-a532-04b73059f8bf
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call a tool.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"file_path":"."}'
+          name: read_file
+        id: call_6RQ8tlaNl5225QIJqygCVfFH
+        type: function
+    - content:
+      - text: Malaysia
+        type: text
+      role: tool
+      tool_call_id: call_6RQ8tlaNl5225QIJqygCVfFH
+    - content:
+      - text: What are the contents?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Read an image.
+        name: read_image
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1159'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a0199a-8308-7251-a532-04b73059f8bf
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"The"},"finish_reason":null}],"usage":null}
+
+    '
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+
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+
+    '
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+
+    '
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+
+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"“"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"Malaysia"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"”"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"**"},"finish_reason":null}],"usage":null}
+
+    '
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+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"."},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[],"usage":{"prompt_tokens":188,"completion_tokens":14,"total_tokens":202,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:39:11.624534+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-00.yaml
new file mode 100644
index 0000000..e06eab0
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-00.yaml
@@ -0,0 +1,179 @@
+filename: 2026-08-19-01a0199a-691f-7191-a393-ba9f5917762c
+request:
+  body:
+    input:
+    - content:
+      - text: Call a tool.
+        type: input_text
+      role: user
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tool_choice:
+      name: read_file
+      type: function
+    tools:
+    - description: Read a file.
+      name: read_file
+      parameters:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      strict: false
+      type: function
+    - description: Read an image.
+      name: read_image
+      parameters:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '786'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a0199a-691f-7191-a393-ba9f5917762c
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"response","created_at":1787135945,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":{"type":"function","name":"read_file"},"tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
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+
+    '
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+
+    '
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+
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+    '
+  - 'event: response.function_call_arguments.delta
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+
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+    '
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+    '
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+
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+    '
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+
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+    '
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+
+    '
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+
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+    '
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+    '
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+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:39:04.991280+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml
new file mode 100644
index 0000000..a821254
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml
@@ -0,0 +1,250 @@
+filename: 2026-08-19-01a0199a-7878-75d1-a373-134ebe59d152
+request:
+  body:
+    input:
+    - content:
+      - text: Call a tool.
+        type: input_text
+      role: user
+    - arguments: '{"file_path":"."}'
+      call_id: call_6RQ8tlaNl5225QIJqygCVfFH
+      id: fc_04f0f57df3c3b654006a8587cc24d081989664603fe5815058
+      name: read_file
+      status: completed
+      type: function_call
+    - call_id: call_6RQ8tlaNl5225QIJqygCVfFH
+      output:
+      - text: Malaysia
+        type: input_text
+      type: function_call_output
+    - content:
+      - text: What are the contents?
+        type: input_text
+      role: user
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tool_choice: none
+    tools:
+    - description: Read a file.
+      name: read_file
+      parameters:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      strict: false
+      type: function
+    - description: Read an image.
+      name: read_image
+      parameters:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1165'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a0199a-7878-75d1-a373-134ebe59d152
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"response","created_at":1787135949,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"none","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
+    a file.","name":"read_file","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false},{"type":"function","description":"Read
+    an image.","name":"read_image","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"response","created_at":1787135949,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"none","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
+    a file.","name":"read_file","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false},{"type":"function","description":"Read
+    an image.","name":"read_image","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","type":"message","status":"in_progress","content":[],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":""},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"The","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" contents","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" are","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":":","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":" **","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"“","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"Malaysia","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":10}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"”","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":11}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":"**","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":12}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","content_index":0,"delta":".","item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":13}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","logprobs":[],"output_index":0,"sequence_number":14,"text":"The
+    contents are: **“Malaysia”**."}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    contents are: **“Malaysia”**."},"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    contents are: **“Malaysia”**."}],"phase":"final_answer","role":"assistant"},"output_index":0,"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"response","created_at":1787135949,"status":"completed","background":false,"completed_at":1787135949,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"msg_04f0f57df3c3b654006a8587cd9b8c81989af3dfd788a8393e","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"logprobs":[],"text":"The
+    contents are: **“Malaysia”**."}],"phase":"final_answer","role":"assistant"}],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"none","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
+    a file.","name":"read_file","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false},{"type":"function","description":"Read
+    an image.","name":"read_image","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":188,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":14,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":202},"user":null,"metadata":{}},"sequence_number":17}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:39:08.920838+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..1d47054
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,138 @@
+filename: 2026-10-13-01a135b6-9a5e-73d1-adb0-b806be86637a
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call a tool.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tool_choice:
+      function:
+        name: read_file
+      type: function
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Read an image.
+        name: read_image
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '811'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: tool_call_choice/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-9a5e-73d1-adb0-b806be86637a
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"role":"assistant","content":null,"refusal":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":null,"tool_calls":[{"index":0,"id":"call_6RQ8tlaNl5225QIJqygCVfFH","type":"function","function":{"name":"read_file","arguments":""}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"tool_calls":[{"index":0,"function":{"arguments":"{\""}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"tool_calls":[{"index":0,"function":{"arguments":"file"}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"tool_calls":[{"index":0,"function":{"arguments":"_path"}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"tool_calls":[{"index":0,"function":{"arguments":"\":\""}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"tool_calls":[{"index":0,"function":{"arguments":".\""}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"tool_calls":[{"index":0,"function":{"arguments":"}"}}]}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"tool_calls","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587c960f08198b4c5ed6d9793ec5c","object":"chat.completion.chunk","created":1787135945,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":148,"total_tokens":167,"completion_tokens":19,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:01.950344+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..43a4ed4
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,175 @@
+filename: 2026-10-13-01a135b6-9e39-7e92-8401-c0fe8ad83340
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call a tool.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"file_path":"."}'
+          name: read_file
+        id: call_6RQ8tlaNl5225QIJqygCVfFH
+        type: function
+    - content:
+      - text: Malaysia
+        type: text
+      role: tool
+      tool_call_id: call_6RQ8tlaNl5225QIJqygCVfFH
+    - content:
+      - text: What are the contents?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+    - function:
+        description: Read an image.
+        name: read_image
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1208'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: tool_call_choice/togetherai-chat_completions-stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-9e39-7e92-8401-c0fe8ad83340
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[{"index":0,"text":"The","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"The","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
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+
+    '
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+
+    '
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+
+    '
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+    '
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+
+    '
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+
+    '
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+
+    '
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[{"index":0,"text":"Malaysia","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Malaysia","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[{"index":0,"text":"”","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"”","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_04f0f57df3c3b654006a8587cd0e1c81989c91bab8081ceadf","object":"chat.completion.chunk","created":1787135949,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":188,"total_tokens":202,"completion_tokens":14,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:02.937081+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-00.yaml
new file mode 100644
index 0000000..7dd92e9
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-00.yaml
@@ -0,0 +1,137 @@
+filename: 2026-08-19-01a01995-c019-7a70-981a-48b2bfd80596
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: false
+      type: auto
+    tools:
+    - description: Read a file.
+      input_schema:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      name: read_file
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '499'
+    content-type: application/json
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+  path: /v1/messages
+  query_params: {}
+request_id: 01a01995-c019-7a70-981a-48b2bfd80596
+response:
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+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":65,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
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+
+    '
+  - 'event: content_block_start
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+    '
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+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
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+    '
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+
+    '
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+    '
+  - 'data: {"type":"content_block_stop","index":0}
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+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"call_LgJQYrp3UbAyzBLkP8LDQDxL","name":"read_file","input":{},"caller":{"type":"direct"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"file_path\":\"b.txt\"}"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":65,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":52,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:33:59.577284+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml
new file mode 100644
index 0000000..7c6b54f
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml
@@ -0,0 +1,268 @@
+filename: 2026-08-19-01a01995-c59b-7ca2-9f15-5035047cc59e
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: text
+      role: user
+    - content:
+      - id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+        input:
+          file_path: a.txt
+        name: read_file
+        type: tool_use
+      - id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+        input:
+          file_path: b.txt
+        name: read_file
+        type: tool_use
+      role: assistant
+    - content:
+      - content:
+        - text: Malaysia
+          type: text
+        tool_use_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+        type: tool_result
+      - content:
+        - text: Malaysia
+          type: text
+        tool_use_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+        type: tool_result
+      role: user
+    - content:
+      - text: What are the contents?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: false
+      type: auto
+    tools:
+    - description: Read a file.
+      input_schema:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      name: read_file
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    connection: keep-alive
+    content-length: '1108'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /v1/messages
+  query_params: {}
+request_id: 01a01995-c59b-7ca2-9f15-5035047cc59e
+response:
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":148,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Both"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    `"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"a"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":".txt"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"`"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    and"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    `"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"b"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":".txt"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"`"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    contain"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":\n\n"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"`"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Malaysia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"`"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":148,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":19,"output_tokens_details":{"thinking_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:34:00.987656+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..6607640
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-00.yaml
@@ -0,0 +1,98 @@
+filename: 2026-08-19-01a01994-5deb-7d51-8d11-102e3e2564f3
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: true
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '576'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a01994-5deb-7d51-8d11-102e3e2564f3
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
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+
+    '
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+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"usage":null,"choices":[{"index":0,"delta":{"content":null,"tool_calls":[{"index":0,"id":"call_2vUqiZL2gdz5t1zFZw4vZlCe","type":"function","function":{"name":"read_file","arguments":""}}]},"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"usage":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"file_path\":\"a.txt\"}"}}]},"finish_reason":null}]}
+
+    '
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+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"usage":null,"choices":[{"index":0,"delta":{"content":null,"tool_calls":[{"index":1,"id":"call_LgJQYrp3UbAyzBLkP8LDQDxL","type":"function","function":{"name":"read_file","arguments":""}}]},"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"usage":null,"choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"{\"file_path\":\"b.txt\"}"}}]},"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"finish_reason":"tool_calls"}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[],"usage":{"prompt_tokens":65,"completion_tokens":52,"total_tokens":117,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:32:28.907797+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..5ea08d2
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/openai-chat_completions-stream-01.yaml
@@ -0,0 +1,194 @@
+filename: 2026-08-19-01a01994-647a-77f3-a877-e96902fba361
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"file_path":"a.txt"}'
+          name: read_file
+        id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+        type: function
+      - function:
+          arguments: '{"file_path":"b.txt"}'
+          name: read_file
+        id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+        type: function
+    - content:
+      - text: Malaysia
+        type: text
+      role: tool
+      tool_call_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+    - content:
+      - text: Malaysia
+        type: text
+      role: tool
+      tool_call_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+    - content:
+      - text: What are the contents?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: true
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1181'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a01994-647a-77f3-a877-e96902fba361
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"role":"assistant","content":"","refusal":null},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"Both"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    `"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"a"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":".txt"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"`"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    and"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    `"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"b"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":".txt"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"`"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"
+    contain"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":":\n\n"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"`"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"Malaysia"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{"content":"`"},"finish_reason":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"model":"gpt-5.6-luna","service_tier":"default","system_fingerprint":null,"choices":[],"usage":{"prompt_tokens":148,"completion_tokens":19,"total_tokens":167,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0},"completion_tokens_details":{"reasoning_tokens":0,"audio_tokens":0,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:32:30.586961+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-00.yaml
new file mode 100644
index 0000000..9690cfa
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-00.yaml
@@ -0,0 +1,151 @@
+filename: 2026-08-19-01a01994-5119-7251-a4fa-68e76f63f182
+request:
+  body:
+    input:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: input_text
+      role: user
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: true
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tools:
+    - description: Read a file.
+      name: read_file
+      parameters:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '545'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a01994-5119-7251-a4fa-68e76f63f182
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","response":{"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"response","created_at":1787135546,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
+    a file.","name":"read_file","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"response","created_at":1787135546,"status":"in_progress","background":false,"completed_at":null,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"auto","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
+    a file.","name":"read_file","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc","type":"function_call","status":"in_progress","arguments":"","call_id":"call_2vUqiZL2gdz5t1zFZw4vZlCe","name":"read_file"},"output_index":0,"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'event: response.function_call_arguments.delta
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","delta":"{\"file_path\":\"a.txt\"}","item_id":"fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc","output_index":0,"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'event: response.function_call_arguments.done
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","arguments":"{\"file_path\":\"a.txt\"}","item_id":"fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc","output_index":0,"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc","type":"function_call","status":"completed","arguments":"{\"file_path\":\"a.txt\"}","call_id":"call_2vUqiZL2gdz5t1zFZw4vZlCe","name":"read_file"},"output_index":0,"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","item":{"id":"fc_09007b121320b6c5006a85863acaec819b9316a31920a01865","type":"function_call","status":"in_progress","arguments":"","call_id":"call_LgJQYrp3UbAyzBLkP8LDQDxL","name":"read_file"},"output_index":1,"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'event: response.function_call_arguments.delta
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","delta":"{\"file_path\":\"b.txt\"}","item_id":"fc_09007b121320b6c5006a85863acaec819b9316a31920a01865","output_index":1,"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'event: response.function_call_arguments.done
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","arguments":"{\"file_path\":\"b.txt\"}","item_id":"fc_09007b121320b6c5006a85863acaec819b9316a31920a01865","output_index":1,"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","item":{"id":"fc_09007b121320b6c5006a85863acaec819b9316a31920a01865","type":"function_call","status":"completed","arguments":"{\"file_path\":\"b.txt\"}","call_id":"call_LgJQYrp3UbAyzBLkP8LDQDxL","name":"read_file"},"output_index":1,"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"response","created_at":1787135546,"status":"completed","background":false,"completed_at":1787135546,"error":null,"frequency_penalty":0.0,"incomplete_details":null,"instructions":null,"max_output_tokens":4096,"max_tool_calls":null,"model":"gpt-5.6-luna","moderation":null,"output":[{"id":"fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc","type":"function_call","status":"completed","arguments":"{\"file_path\":\"a.txt\"}","call_id":"call_2vUqiZL2gdz5t1zFZw4vZlCe","name":"read_file"},{"id":"fc_09007b121320b6c5006a85863acaec819b9316a31920a01865","type":"function_call","status":"completed","arguments":"{\"file_path\":\"b.txt\"}","call_id":"call_LgJQYrp3UbAyzBLkP8LDQDxL","name":"read_file"}],"parallel_tool_calls":true,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"24h","reasoning":{"context":"all_turns","effort":"none","mode":"standard","summary":null},"safety_identifier":null,"service_tier":"default","store":true,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tool_usage":{"image_gen":{"input_tokens":0,"input_tokens_details":{"image_tokens":0,"text_tokens":0},"output_tokens":0,"output_tokens_details":{"image_tokens":0,"text_tokens":0},"total_tokens":0},"web_search":{"num_requests":0}},"tools":[{"type":"function","description":"Read
+    a file.","name":"read_file","output_schema":null,"parameters":{"type":"object","properties":{"file_path":{"type":"string","description":"Path."}},"required":["file_path"],"additionalProperties":false},"strict":false}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":65,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":52,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":117},"user":null,"metadata":{}},"sequence_number":10}
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:32:25.625988+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml
new file mode 100644
index 0000000..ac3acca
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml
@@ -0,0 +1,289 @@
+filename: 2026-08-19-01a01994-5868-70c2-aefe-0ae837816c85
+request:
+  body:
+    input:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: input_text
+      role: user
+    - arguments: '{"file_path":"a.txt"}'
+      call_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+      id: fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc
+      name: read_file
+      status: completed
+      type: function_call
+    - arguments: '{"file_path":"b.txt"}'
+      call_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+      id: fc_09007b121320b6c5006a85863acaec819b9316a31920a01865
+      name: read_file
+      status: completed
+      type: function_call
+    - call_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+      output:
+      - text: Malaysia
+        type: input_text
+      type: function_call_output
+    - call_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+      output:
+      - text: Malaysia
+        type: input_text
+      type: function_call_output
+    - content:
+      - text: What are the contents?
+        type: input_text
+      role: user
+    max_output_tokens: 4096
+    model: gpt-5.6-luna
+    parallel_tool_calls: true
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+    tools:
+    - description: Read a file.
+      name: read_file
+      parameters:
+        additionalProperties: false
+        properties:
+          file_path:
+            description: Path.
+            type: string
+        required:
+        - file_path
+        type: object
+      strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1293'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a01994-5868-70c2-aefe-0ae837816c85
+response:
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+  sse:
+  - 'event: response.created
+
+    '
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+
+    '
+  - 'event: response.output_text.delta
+
+    '
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+    `a.txt` and `b.txt` contain:\n\n`Malaysia`"}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_09007b121320b6c5006a85863bf44c819b8dccabe59f04ed98","output_index":0,"part":{"type":"output_text","annotations":[],"logprobs":[],"text":"Both
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+
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+    '
+  - 'event: response.output_item.done
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+
+    '
+  - '
+
+    '
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+    '
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+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-08-19T10:32:27.496476+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..3ba8869
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,102 @@
+filename: 2026-10-13-01a135b6-ecea-7a73-ad4a-ce6ae52e4d9a
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: true
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '544'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: tool_call_parallel/togetherai-chat_completions-stream-00.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-ecea-7a73-ad4a-ce6ae52e4d9a
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":"call_2vUqiZL2gdz5t1zFZw4vZlCe","index":0,"type":"function","function":{"name":"read_file","arguments":""}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":"call_LgJQYrp3UbAyzBLkP8LDQDxL","index":1,"type":"function","function":{"name":"read_file","arguments":""}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"","tool_calls":[{"id":null,"index":1,"type":"function","function":{"name":null,"arguments":"{\"file_path\":\"b.txt\"}"}}],"reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863a01f4819b9e0b5728b1c81319","object":"chat.completion.chunk","created":1787135546,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":65,"total_tokens":117,"completion_tokens":52,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:23.082321+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..61cf21c
--- /dev/null
+++ b/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,200 @@
+filename: 2026-10-13-01a135b6-f07e-7da2-9e74-9b856911cda8
+request:
+  body:
+    max_completion_tokens: 4096
+    messages:
+    - content:
+      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"file_path":"a.txt"}'
+          name: read_file
+        id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+        type: function
+      - function:
+          arguments: '{"file_path":"b.txt"}'
+          name: read_file
+        id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+        type: function
+    - content:
+      - text: Malaysia
+        type: text
+      role: tool
+      tool_call_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
+    - content:
+      - text: Malaysia
+        type: text
+      role: tool
+      tool_call_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
+    - content:
+      - text: What are the contents?
+        type: text
+      role: user
+    model: gpt-5.6-luna
+    parallel_tool_calls: true
+    reasoning:
+      enabled: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_obfuscation: false
+      include_usage: true
+    tools:
+    - function:
+        description: Read a file.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            file_path:
+              description: Path.
+              type: string
+          required:
+          - file_path
+          type: object
+        strict: false
+      type: function
+  headers:
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+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1149'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 3.1.0
+    x-run-id: tool_call_parallel/togetherai-chat_completions-stream-01.yaml
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a135b6-f07e-7da2-9e74-9b856911cda8
+response:
+  headers:
+    cache-control: no-cache, no-transform
+    connection: keep-alive
+    content-type: text/event-stream;charset=utf-8
+  sse:
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+
+    '
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+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"Both","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Both","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"a","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":".txt","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".txt","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"`","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"`","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"
+    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    and","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"
+    `","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" `","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"b","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"b","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":".txt","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".txt","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"`","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"`","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"
+    contain","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
+    contain","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":":\n\n","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":":\n\n","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"`","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"`","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"Malaysia","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Malaysia","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"`","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"`","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":148,"total_tokens":167,"completion_tokens":19,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+timestamp: '2026-10-13T14:42:23.998415+00:00'

From d7cdb5f456deea2588489ce330b4521c1c1bd009 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Tue, 3 Nov 2026 16:51:34 +0000
Subject: [PATCH 02/15] feat: Add provider compatibility and recording evidence

---
 .env.example                                  |   5 +
 .prettierignore                               |   2 +
 docs/README.md                                |   2 +
 docs/errors.md                                |   4 +
 docs/protocols/openai-chat-completions.md     |   6 +-
 docs/provider-compatibility.md                |  54 ++
 python/ARCHITECTURE.md                        |  18 +-
 python/CONVENTIONS.md                         |   2 +-
 python/molto/adapters/openai.py               |  24 +-
 python/molto/configs.py                       |   2 +
 python/molto/core.py                          |  68 ++-
 python/molto/providers.py                     |  31 +-
 python/molto/types/openai_chat_completions.py | 105 +++-
 python/molto/types/openai_responses.py        |   4 +
 python/molto/upstream/anthropic.py            |  28 +-
 python/molto/upstream/base.py                 |  10 +-
 python/molto/upstream/gemini.py               |  79 +++
 python/molto/upstream/openai.py               |  79 ++-
 python/molto/upstream/together.py             |  32 ++
 python/molto/utils/test.py                    |  69 ++-
 scripts/match_anthropic_cassette_responses.py |   2 +
 scripts/match_openai_cassette_responses.py    |   2 +
 scripts/record_provider_conversation.py       | 334 +++++++++++
 scripts/recorder_proxy.py                     | 290 +++++-----
 tests/cassettes/README.md                     |  23 +-
 tests/core/history_helpers.py                 | 173 ++++++
 tests/core/test_history_helpers.py            | 248 +++++++++
 tests/core/test_provider_history_routes.py    | 353 ++++++++++++
 .../test_recorded_provider_conversations.py   | 197 +++++++
 tests/core/test_together_conversations.py     | 335 +++++++++++
 tests/core/test_together_errors.py            | 104 ++++
 tests/test_hosted_providers.py                | 408 ++++++++++++++
 tests/test_match_anthropic_cassette_events.py |   2 +
 ...test_match_anthropic_cassette_responses.py |  11 +
 tests/test_match_openai_cassette_events.py    |   2 +
 tests/test_match_openai_cassette_responses.py |  11 +
 tests/test_providers.py                       |   5 +
 tests/test_record_provider_conversation.py    | 405 ++++++++++++++
 tests/test_recorder_proxy.py                  | 308 +++++++++++
 tests/test_together.py                        | 519 ++++++++++++++++++
 tests/types/test_provider_history.py          | 169 ++++++
 tests/upstream/test_openai.py                 |   7 +-
 tests/utils/test_test_utils.py                | 275 ++++++++++
 43 files changed, 4612 insertions(+), 195 deletions(-)
 create mode 100644 docs/provider-compatibility.md
 create mode 100644 python/molto/upstream/gemini.py
 create mode 100644 python/molto/upstream/together.py
 create mode 100644 scripts/record_provider_conversation.py
 create mode 100644 tests/core/history_helpers.py
 create mode 100644 tests/core/test_history_helpers.py
 create mode 100644 tests/core/test_provider_history_routes.py
 create mode 100644 tests/core/test_recorded_provider_conversations.py
 create mode 100644 tests/core/test_together_conversations.py
 create mode 100644 tests/core/test_together_errors.py
 create mode 100644 tests/test_hosted_providers.py
 create mode 100644 tests/test_record_provider_conversation.py
 create mode 100644 tests/test_recorder_proxy.py
 create mode 100644 tests/test_together.py
 create mode 100644 tests/types/test_provider_history.py

diff --git a/.env.example b/.env.example
index a7c0fa0..e7ea5c4 100644
--- a/.env.example
+++ b/.env.example
@@ -4,3 +4,8 @@ MOLTO_LOG_LEVEL_STDERR=INFO
 # External API keys
 ANTHROPIC_API_KEY=
 OPENAI_API_KEY=
+AWS_BEARER_TOKEN_BEDROCK=
+FIREWORKS_API_KEY=
+GEMINI_API_KEY=
+OPENROUTER_API_KEY=
+TOGETHER_AI_API_KEY=
diff --git a/.prettierignore b/.prettierignore
index 2ca0a38..755d8f7 100644
--- a/.prettierignore
+++ b/.prettierignore
@@ -4,6 +4,8 @@ thumbs.db
 
 # Cassettes
 tests/cassettes/**/*.yaml
+# Preserve generated provenance alongside unchanged original capture bytes.
+tests/cassettes/provider_recordings/**/manifest.json
 
 # Internal references, dependencies, temporary folders & files
 .env
diff --git a/docs/README.md b/docs/README.md
index d43c5b4..f93258b 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -83,6 +83,8 @@ Four independent choices define a route:
 | `provider`    | Selects the serving implementation and its immutable capability profile.                      |
 | `base_url`    | Selects only the HTTP destination.                                                            |
 
+See [hosted provider compatibility](provider-compatibility.md) for provider keys, exact destinations, history constraints, and the recorded/matched/synthetic evidence matrix.
+
 Molto never infers provider behavior from a hostname. When `provider` is omitted, the endpoint supplies a convenience default: OpenAI for Responses and Chat Completions, and Anthropic for Messages. An explicit provider overrides that default without changing the endpoint or base URL.
 
 Provider capabilities matter even when two implementations expose the same schema. For example, Chat Completions `reasoning_content` and Messages `thinking_delta` do not label their text as raw reasoning or a summary. The provider profile supplies that interpretation: OpenAI and Anthropic profiles classify it as a summary, while vLLM classifies it as raw reasoning.
diff --git a/docs/errors.md b/docs/errors.md
index 5154274..fce1a1c 100644
--- a/docs/errors.md
+++ b/docs/errors.md
@@ -58,3 +58,7 @@ The upstream client constructs the intended request using its effective base URL
 ## Implementation and verification
 
 See [error translation conventions](../python/CONVENTIONS.md#error-translation) for implementation and [error cassettes](../tests/cassettes/README.md#error-cassettes) for replay requirements. Cassette-backed coverage includes streaming and non-streaming requests across native and translated routes for every error scenario. Non-streaming tests use non-streaming recordings and compare provider SDK exceptions and their normalized cause chains; translated calls still stream upstream internally. Missing-credential tests cover both result modes and assert that no HTTP request is sent.
+
+## Hosted-provider errors
+
+Together additionally recognizes `model_not_available` on OpenAI SDK status errors as model-not-found, and `is longer than the model's context length` only on `BadRequestError` as context overflow. Other provider error rules remain unchanged. Historical Together error recordings are replayed against the independent SDK in their recorded mode through each public coordinator, preserving bodies, status, headers, and the acyclic cause chain. Required hosted-provider credentials fail locally before HTTP even when unrelated OpenAI/Anthropic keys are configured.
diff --git a/docs/protocols/openai-chat-completions.md b/docs/protocols/openai-chat-completions.md
index cb2dea7..f649ff6 100644
--- a/docs/protocols/openai-chat-completions.md
+++ b/docs/protocols/openai-chat-completions.md
@@ -127,7 +127,7 @@ One user message becomes one normalized user input. Ordered text and image parts
 
 System and developer messages accept scalar text or ordered text-part lists and become role-less instructions. Their sequence position and part markers are retained while targeting Responses or Chat, but their original role identity is lost. A later Chat projection emits every normalized instruction as `developer`. Messages projects instructions into top-level `system`, retaining separate blocks when any system block is marked. With any cache markers present, mid-conversation instructions are rejected because hoisting would change the cached prefix.
 
-Each assistant-history message becomes one `AssistantInput` containing ordered reasoning, text, and tool-call parts. Its enclosing message boundary is retained. The adapter accepts assistant scalar text or ordered text-part lists, optional string `reasoning_content`, and function tool calls. Text-part markers remain attached to their normalized assistant text items. When a Chat request carries `reasoning_effort`, Molto requests a detailed summary (`reasoning.summary="detailed"` unless the effort is `none`, which disables reasoning) so a Responses or Messages target receives a completed summarized reasoning value.
+Each assistant-history message becomes one `AssistantInput` containing ordered reasoning, text, and tool-call parts. Its enclosing message boundary is retained. The adapter accepts assistant scalar text or ordered text-part lists, optional string `reasoning_content` or string/ordered-string-array `reasoning`, and function tool calls. Two populated reasoning aliases reject on translated routes. Text-part markers remain attached to their normalized assistant text items. When a Chat request carries `reasoning_effort`, Molto requests a detailed summary (`reasoning.summary="detailed"` unless the effort is `none`, which disables reasoning) so a Responses or Messages target receives a completed summarized reasoning value.
 
 Tool messages normalize scalar text or ordered text parts as successful tool results. Native Chat tool messages containing image parts are rejected. The downstream adapter does not reinterpret such input as an image tool result. User text/images and tool-result text retain supported `prompt_cache_breakpoint` values as positional normalized markers.
 
@@ -328,3 +328,7 @@ External protocol references:
 
 - [OpenAI Chat Completions create reference](https://developers.openai.com/api/reference/resources/chat/subresources/completions/methods/create)
 - [vLLM OpenAI-compatible server](https://docs.vllm.ai/en/latest/serving/online_serving/openai_compatible_server/)
+
+## Hosted extensions
+
+See [provider compatibility](../provider-compatibility.md) for strict reasoning aliases, Google `extra_content` at message/part/call attachments, Gemini missing index repair, and exact native history preservation. Native acceptance does not establish translated portability; populated opaque state rejects where there is no lossless mapping. Together emits its documented upstream `reasoning` dialect; translated downstream Chat output continues to use `reasoning_content`.
diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
new file mode 100644
index 0000000..09cc5f9
--- /dev/null
+++ b/docs/provider-compatibility.md
@@ -0,0 +1,54 @@
+# Hosted provider compatibility
+
+Provider selection, upstream protocol, destination, and model are independent. Choose `endpoint` explicitly when the provider exposes a different protocol from the public method. Molto does not infer capabilities from a hostname or silently switch endpoints. Configuration support is not certification of every hosted model.
+
+## Destinations and credentials
+
+An explicit `api_key` overrides the configured provider key; an explicit empty key fails locally. Missing keys cannot fall back to OpenAI or Anthropic credentials. An explicit `base_url` overrides the destinations below. Caller authentication and account headers cannot override the selected upstream identity.
+
+| Provider | Upstream | Default SDK base URL | Credential |
+| --- | --- | --- | --- |
+| `togetherai` | Chat Completions | `https://api.together.ai/v1` | `TOGETHER_AI_API_KEY` |
+| `gemini` | Chat Completions | `https://generativelanguage.googleapis.com/v1beta/openai` | `GEMINI_API_KEY` |
+| `openrouter` | Responses, Chat Completions | `https://openrouter.ai/api/v1` | `OPENROUTER_API_KEY` |
+| `openrouter` | Messages | `https://openrouter.ai/api` | `OPENROUTER_API_KEY` (Bearer) |
+| `fireworks` | Responses, Chat Completions | `https://api.fireworks.ai/inference/v1` | `FIREWORKS_API_KEY` |
+| `fireworks` | Messages | `https://api.fireworks.ai/inference` | `FIREWORKS_API_KEY` |
+| `bedrock` | Responses, Chat Completions, Messages | Explicit regional URL required | `AWS_BEARER_TOKEN_BEDROCK` (Bearer) |
+
+OpenAI SDK paths append `/responses` or `/chat/completions`; Anthropic SDK paths append `/v1/messages`. Bedrock examples reported in issue #78 are `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1` and `https://bedrock-runtime.us-east-1.amazonaws.com/anthropic`. Specify the source region and model/inference profile yourself. This supports API-key authentication; it does not add SigV4, Converse, InvokeModel, or a cross-region routing policy. The source hostname does not establish execution region or residency.
+
+Gemini rejects other upstream protocols. Together requires an explicit URL for alternative upstream protocols; such custom endpoint probes do not claim that Together hosts Responses or Messages.
+
+The destination references are [Together's OpenAI compatibility guide](https://docs.together.ai/docs/inference/openai-compatibility), [Gemini's OpenAI guide](https://ai.google.dev/gemini-api/docs/openai), [OpenRouter's API reference](https://openrouter.ai/docs/api/reference/overview), [OpenRouter's Messages configuration](https://github.com/OpenRouterTeam/docs/blob/main/cookbook/coding-agents/claude-code-integration.mdx), [Fireworks' Anthropic guide](https://docs.fireworks.ai/tools-sdks/anthropic-compatibility), and [Bedrock API-key authentication](https://docs.aws.amazon.com/bedrock/latest/userguide/api-keys.html). These documents establish configuration, not replay or live compatibility.
+
+## History and reasoning
+
+Native Chat accepts assistant `reasoning: str | list[str]` and the string-only `reasoning_content` alias. It preserves exact strings, whitespace, array order, empty entries, explicit null content, and valid function/custom tool histories. Reasoning extensions reject null, non-string members, and unrelated fields. Stream-only tool `index` is not accepted in submitted history; remove SDK bookkeeping before sending the collected message.
+
+Translated input rejects two populated reasoning aliases. An empty string or empty array does not mask the populated alternate; an array containing an empty string remains populated. Ordered array entries become separate reasoning parts. When unsigned parts become a Chat string, their separator is a newline, including leading or trailing empty parts. The existing reasoning-before-text-before-calls history order remains enforced. Output streams finish active parts before starting subsequent text or reasoning; noncontiguous resumed calls reject explicitly.
+
+Together translates its documented `reasoning` dialect as unsigned raw reasoning. A model emitting `reasoning_content` remains native-compatible but is explicitly rejected on translated output rather than silently losing reasoning. The fresh Qwen capture below demonstrates this limitation. Fireworks Chat uses raw `reasoning_content`; its Responses and Messages profiles use summary semantics. Bedrock and OpenRouter use summary profiles. Native routes retain provider output; translated routes still reject signatures or summaries they cannot represent. No tag parsing or automatic model-specific dialect fallback is provided.
+
+Native Gemini history supports `extra_content.google` on messages, individual content parts, and function calls. The Google object is opaque, including tool-result `parts[].file_data`, signatures, and null values. Attachments are not moved or combined. Translated input/output containing populated Google state rejects explicitly. OpenRouter Responses reasoning `format` similarly survives native continuation and rejects unsupported translation.
+
+Gemini missing tool indices are repaired only when identity is unambiguous: stable call IDs select stable indices; an anonymous continuation requires a single known call. Parallel calls never share an inferred index. Conflicting identities and ambiguous fragments fail. Repeated identical IDs on repaired fragments are treated as identity snapshots so SDK accumulation does not concatenate IDs. Otherwise indexed native chunks are preserved. Translated streams additionally require contiguous fragments per call.
+
+Request transport remains separate from history. For Google's literal wire `extra_body.google` envelope, pass `extra_body={"extra_body": {"google": {...}}}`. Ordinary transport extras merge at the top level under SDK precedence. They do not replace `extra_content` history. The separate Anthropic `extra_content.anthropic` continuation work belongs to [PR #92](https://github.com/EmbeddedLLM/molto/pull/92), targeting PR #74; this change does not implement that dependency.
+
+## Evidence matrix
+
+The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/`. Each group has a manifest with original ordered exchanges, requested/returned model, real destination, native mode, settings, SDK/Python versions, and completion or failure status. They were recorded through the native SDK with zero retries, outside pytest, and copied without modifying their bytes. Incomplete groups are failure evidence, not complete conversation support.
+
+| Provider/configuration | Fresh live evidence | Offline evidence | Remaining limitations |
+| --- | --- | --- | --- |
+| Together, `Qwen/Qwen3.5-9B`, Chat at `/v1/chat/completions` | Two-turn text and three-turn sequential tools in both native modes; explicit parallel tools in native non-streaming mode | Exact native SDK output; accepted non-streaming tool/parallel histories replay exactly; strict unsupported-history rejection for recorded null reasoning/output-only placeholders | Emits `reasoning_content`, so translated reasoning is unsupported. Recorded text history includes null reasoning; streamed collection includes output-only null annotations. These histories reject locally. Streamed parallel runs returned only one call; no live streaming parallel claim |
+| Together, `meta-llama/Llama-3.3-70B-Instruct-Turbo`, Chat | HTTP 400 `model_not_available` | Original error body retained | Account cannot use this model as a serverless endpoint |
+| Gemini, `gemini-3.8-flash`, Chat | HTTP 400 location restriction | Native extension round trips, index repair/ambiguity, translation rejection, exact nested Google wire envelope (synthetic) | No successful live model conversation from this environment |
+| OpenRouter, each protocol | None; credential unavailable | Destination/authentication/native SDK replay and Responses format continuation (synthetic) | Model routing, required backend state, live text/tools, translated provider semantics unknown |
+| Fireworks, each protocol independently | None; credential unavailable | Exact per-protocol destinations/authentication and native SDK replay | Model-specific reasoning/history, usage placement, stored/manual Responses continuation and live text/tools unknown |
+| Bedrock, explicit reported regional URLs | None; credential/profile unavailable | URL joining, Bearer authentication, native SDK replay | Exact live model/profile mapping, reasoning, full tools and both native modes unknown |
+
+`tests/cassettes/reference_pr76/` retains deliberately matched historical success fixtures from [PR #76, commit 42b9040](https://github.com/EmbeddedLLM/molto/pull/76/commits/42b9040cb2c74b3676d1749b2c4473c16b3bda9f). They cover text, raw reasoning, remote/data images, sequential tools, named/disabled tool choice, and parallel calls. Their manifest records original paths and hashes. These are independent of fresh provider availability. Historical Together error fixtures retain original response bodies/status/headers; aligned or shortened requests do not establish a live error reproduction.
+
+Synthetic SDK parity probes and replayed OpenAI/Anthropic fixtures establish local routing and serialization only. They do not turn an unrecorded provider cell into live support. Full issue #78 completion still requires the unknown provider cells, broader model-specific continuation evidence, and the separate Anthropic dependency.
diff --git a/python/ARCHITECTURE.md b/python/ARCHITECTURE.md
index 9664a86..1fa5b8d 100644
--- a/python/ARCHITECTURE.md
+++ b/python/ARCHITECTURE.md
@@ -16,11 +16,11 @@ Native same-protocol and cross-protocol routes support streaming and non-streami
 
 `endpoint`, `provider`, and `base_url` are independent:
 
-| Concept    | Purpose                                                                                                                       |
-| ---------- | ----------------------------------------------------------------------------------------------------------------------------- |
-| `endpoint` | Selects the upstream wire protocol and client: `responses`, `chat/completions`, or `messages`.                                |
-| `provider` | Identifies the implementation serving that protocol and selects its `ProviderCapabilities`: `openai`, `anthropic`, or `vllm`. |
-| `base_url` | Selects only the HTTP destination.                                                                                            |
+| Concept | Purpose |
+| --- | --- |
+| `endpoint` | Selects the upstream wire protocol and client: `responses`, `chat/completions`, or `messages`. |
+| `provider` | Identifies the implementation serving that protocol and selects its `ProviderCapabilities`: `openai`, `anthropic`, `vllm`, or an explicit hosted-provider profile. |
+| `base_url` | Selects only the HTTP destination. |
 
 Molto never derives provider behavior from a URL hostname. When `provider` is omitted, the coordinator uses the canonical implementation for the selected endpoint as a convenience default: OpenAI for Responses and Chat Completions, and Anthropic for Messages. An explicit provider overrides that default without changing the endpoint, while an explicit base URL changes neither the protocol nor the capability profile.
 
@@ -491,3 +491,11 @@ To add another upstream protocol:
 4. add cassette-backed parity tests against the downstream SDK contract.
 
 To add another downstream protocol, add an adapter that normalizes its request and projects normalized events without performing transport.
+
+## Hosted compatibility boundaries
+
+[Hosted provider configuration and evidence](../docs/provider-compatibility.md) remain separate from endpoint selection. The coordinator chooses default URLs and required credential names; clients implement one protocol without switching it. Fireworks selects raw Chat reasoning and summary semantics for its other protocols. Bedrock requires an explicit regional URL; provider names never imply model availability.
+
+Together's Chat subclass selects its documented `reasoning` dialect and recognizes provider-specific semantic errors. Gemini's Chat subclass repairs missing tool indices only with unambiguous identity; the generic normalizer rejects missing indices rather than silently discarding calls. Native history schemas have narrow Google attachment and OpenRouter reasoning-format extensions. Cross-protocol paths reject populated opaque state they cannot preserve.
+
+The native recording driver never invokes Molto translation. Reviewed original exchanges, historical matched fixtures, and synthetic probes have separate provenance; a supported serializer is not evidence of live model compatibility.
diff --git a/python/CONVENTIONS.md b/python/CONVENTIONS.md
index 0a8394f..7640ada 100644
--- a/python/CONVENTIONS.md
+++ b/python/CONVENTIONS.md
@@ -208,7 +208,7 @@ Never record cassettes during a normal test run. New cassettes must come from an
 
 Use the following workflow when adding a feature shared by Responses and one or more other protocols:
 
-1. Record semantically equivalent Responses and counterpart protocol cassettes directly under `tests/cassettes/matched/` from approved official sources. Inspect their requests and events, verify that they contain no secrets, validate them against their native SDK types, and commit the unchanged recordings before modifying them.
+1. Record semantically equivalent Responses and counterpart protocol conversations into a staging directory such as `/tmp/molto-recordings`, outside pytest, using native SDKs independently of Molto. Retain a manifest identifying the exact provider/model/endpoint, SDK versions, settings, ordered turns, and completion status. Review all fields for secrets and private content, validate against native SDK types, then promote unchanged originals into a recorded provider directory and commit them. Create separate matched copies only after this baseline exists; raw captures must never go directly into `matched/`.
 2. Add or extend deterministic matching tooling when the current tooling cannot align the new scenario. Use Responses as the canonical input and modify only the non-Responses fixture fields needed to express equivalent native requests, align source-backed response values, and align observable chunk boundaries. Never copy a Responses request body into another protocol or rewrite transport metadata, and keep every transformed fixture valid native wire data.
 3. Run the matching tooling on each non-Responses cassette paired with the canonical Responses cassette.
 4. Review every resulting cassette diff before implementation. The diff must contain only intentional, representable alignment changes and must not remove meaningful native fields. If it does not, correct the matching logic and repeat the matching and review steps. Commit the reviewed matching-tool and cassette changes before implementation.
diff --git a/python/molto/adapters/openai.py b/python/molto/adapters/openai.py
index e5e6048..59d4e94 100644
--- a/python/molto/adapters/openai.py
+++ b/python/molto/adapters/openai.py
@@ -364,6 +364,8 @@ def _normalize_message(
     ) -> Input:
         message_type = message.get("type", "message")
         if message_type == "reasoning":
+            if message.get("format") is not None:
+                raise UnsupportedInput("Responses reasoning format cannot be translated.")
             content = message.get("content") or []
             summary = message.get("summary") or []
             if not all(part.get("type") == "reasoning_text" for part in content):
@@ -1005,6 +1007,11 @@ def _normalize_message(
     ) -> Input:
         role = message.get("role")
         content = message.get("content")
+        attachments = [message, *(message.get("tool_calls") or [])]
+        if isinstance(content, list):
+            attachments.extend(content)
+        if any(dict(attachment).get("extra_content") for attachment in attachments):
+            raise UnsupportedInput("Chat Completions extra_content cannot be translated.")
 
         if role == "user" and isinstance(content, list):
             parts: list[TextInput | ImageUrlInput] = []
@@ -1084,11 +1091,20 @@ def _normalize_message(
             return [UserInput(content=[TextInput(content=content)])]
         if role == "assistant":
             items: list[Thinking | TextOutput | ToolCall] = []
+            reasoning = message.get("reasoning")
             reasoning_content = message.get("reasoning_content")
-            if reasoning_content is not None:
-                if not isinstance(reasoning_content, str):
-                    raise UnsupportedInput("Chat Completions reasoning_content must be a string.")
-                items.append(self._classify_thinking(reasoning_content))
+            if reasoning and reasoning_content:
+                raise UnsupportedInput("Chat Completions cannot translate both reasoning aliases.")
+            selected_reasoning = (
+                reasoning if reasoning or reasoning_content is None else reasoning_content
+            )
+            if selected_reasoning is not None:
+                reasoning_parts = (
+                    selected_reasoning
+                    if isinstance(selected_reasoning, list)
+                    else [selected_reasoning]
+                )
+                items.extend(self._classify_thinking(part) for part in reasoning_parts)
             items.extend(
                 TextOutput(content=part.content, cache_breakpoint=part.cache_breakpoint)
                 for part in text_parts
diff --git a/python/molto/configs.py b/python/molto/configs.py
index a03d1ff..2be1267 100644
--- a/python/molto/configs.py
+++ b/python/molto/configs.py
@@ -24,7 +24,9 @@ class EnvConfig(BaseSettings):
     molto_log_level_stderr: str = "INFO"
     # External services
     anthropic_api_key: SecretStr = ""
+    aws_bearer_token_bedrock: SecretStr = ""
     deepseek_api_key: SecretStr = ""
+    fireworks_api_key: SecretStr = ""
     gemini_api_key: SecretStr = ""
     openai_api_key: SecretStr = ""
     openrouter_api_key: SecretStr = ""
diff --git a/python/molto/core.py b/python/molto/core.py
index c47e5cc..856d353 100644
--- a/python/molto/core.py
+++ b/python/molto/core.py
@@ -1,4 +1,5 @@
 from collections.abc import AsyncIterator, Mapping
+from dataclasses import replace
 from typing import Any, Self
 
 from httpx import AsyncClient, Headers
@@ -9,9 +10,12 @@
 from molto.configs import ENV_CONFIG
 from molto.providers import (
     DEFAULT_PROVIDER_BY_ENDPOINT,
+    PROVIDER_BASE_URLS,
     PROVIDER_CAPABILITIES,
+    PROVIDER_KEY_NAMES,
     Endpoint,
     Provider,
+    ProviderCapabilities,
 )
 from molto.types.anthropic_messages import (
     AnthropicMessagesCreateRequest,
@@ -29,10 +33,17 @@
     OpenAIResponsesStreamEvent,
 )
 from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.gemini import GeminiChatCompletionsClient
 from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+from molto.upstream.together import TogetherAIChatCompletionsClient
 
 VLLM_DUMMY_API_KEY = "EMPTY"
 
+_CHAT_CLIENTS = {
+    "togetherai": TogetherAIChatCompletionsClient,
+    "gemini": GeminiChatCompletionsClient,
+}
+
 _CREDENTIAL_HEADERS = frozenset(
     {
         "anthropic-api-key",
@@ -169,6 +180,8 @@ def _resolve_api_key(provider: Provider, api_key: str | None) -> str | None:
             return ENV_CONFIG.openai_api_key_plain
         if api_key is None and provider == "anthropic":
             return ENV_CONFIG.anthropic_api_key_plain
+        if api_key is None and provider in PROVIDER_KEY_NAMES:
+            return getattr(ENV_CONFIG, PROVIDER_KEY_NAMES[provider].lower()).get_secret_value()
         if api_key is None and provider == "vllm":
             return VLLM_DUMMY_API_KEY
         return api_key
@@ -179,8 +192,27 @@ def _resolve_provider(endpoint: Endpoint, provider: Provider | None) -> Provider
         # endpoint cannot surface as an unrelated translation error.
         if endpoint not in DEFAULT_PROVIDER_BY_ENDPOINT:
             raise ValueError(f"Unsupported endpoint: {endpoint!r}.")
+        if provider == "gemini" and endpoint != "chat/completions":
+            raise ValueError("Gemini supports only the Chat Completions upstream.")
+        if provider is not None and provider not in PROVIDER_CAPABILITIES:
+            raise ValueError(f"Unsupported provider: {provider!r}.")
         return provider or DEFAULT_PROVIDER_BY_ENDPOINT[endpoint]
 
+    @staticmethod
+    def _resolve_provider_options(
+        provider: Provider, endpoint: Endpoint, base_url: str | None
+    ) -> tuple[str | None, ProviderCapabilities]:
+        if provider == "togetherai" and endpoint != "chat/completions" and not base_url:
+            raise ValueError(
+                "Together AI requires an explicit base_url for an alternative upstream endpoint."
+            )
+        if provider == "bedrock" and not base_url:
+            raise ValueError("Bedrock requires an explicit regional base_url and model/profile.")
+        capabilities = PROVIDER_CAPABILITIES[provider]
+        if provider == "fireworks" and endpoint == "chat/completions":
+            capabilities = replace(capabilities, thinking="raw")
+        return base_url or PROVIDER_BASE_URLS.get(provider, {}).get(endpoint), capabilities
+
     async def responses(
         self,
         body: BaseModel | dict[str, Any],
@@ -210,13 +242,17 @@ async def responses(
         request = OpenAIResponsesCreateRequest.model_validate(body)
         resolved_provider = self._resolve_provider(endpoint, provider)
         resolved_api_key = self._resolve_api_key(resolved_provider, api_key)
-        capabilities = PROVIDER_CAPABILITIES[resolved_provider]
+        base_url, capabilities = self._resolve_provider_options(
+            resolved_provider, endpoint, base_url
+        )
         upstream_headers = _upstream_headers(extra_headers)
 
         if endpoint == "responses":
             upstream = OpenAIResponsesClient(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -233,9 +269,11 @@ async def responses(
         adapter = OpenAIResponsesAdapter(capabilities)
         normalized_request = adapter.normalize_request(request)
         if endpoint == "chat/completions":
-            upstream = OpenAIChatCompletionsClient(
+            upstream = _CHAT_CLIENTS.get(resolved_provider, OpenAIChatCompletionsClient)(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -245,6 +283,8 @@ async def responses(
             upstream = AnthropicMessagesClient(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -279,12 +319,16 @@ async def chat_completions(
         request = OpenAIChatCompletionsCreateRequest.model_validate(body)
         resolved_provider = self._resolve_provider(endpoint, provider)
         resolved_api_key = self._resolve_api_key(resolved_provider, api_key)
-        capabilities = PROVIDER_CAPABILITIES[resolved_provider]
+        base_url, capabilities = self._resolve_provider_options(
+            resolved_provider, endpoint, base_url
+        )
         upstream_headers = _upstream_headers(extra_headers)
         if endpoint == "chat/completions":
-            upstream = OpenAIChatCompletionsClient(
+            upstream = _CHAT_CLIENTS.get(resolved_provider, OpenAIChatCompletionsClient)(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -304,6 +348,8 @@ async def chat_completions(
             upstream = OpenAIResponsesClient(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -313,6 +359,8 @@ async def chat_completions(
             upstream = AnthropicMessagesClient(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -347,12 +395,16 @@ async def messages(
         request = AnthropicMessagesCreateRequest.model_validate(body)
         resolved_provider = self._resolve_provider(endpoint, provider)
         resolved_api_key = self._resolve_api_key(resolved_provider, api_key)
-        capabilities = PROVIDER_CAPABILITIES[resolved_provider]
+        base_url, capabilities = self._resolve_provider_options(
+            resolved_provider, endpoint, base_url
+        )
         upstream_headers = _upstream_headers(extra_headers)
         if endpoint == "messages":
             upstream = AnthropicMessagesClient(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
@@ -372,15 +424,19 @@ async def messages(
             upstream = OpenAIResponsesClient(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
                 extra_headers=upstream_headers,
             )
         elif endpoint == "chat/completions":
-            upstream = OpenAIChatCompletionsClient(
+            upstream = _CHAT_CLIENTS.get(resolved_provider, OpenAIChatCompletionsClient)(
                 self._http_client,
                 api_key=resolved_api_key,
+                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
+                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
                 base_url=base_url,
                 capabilities=capabilities,
                 extra_body=extra_body,
diff --git a/python/molto/providers.py b/python/molto/providers.py
index 7e7b2f8..5366f58 100644
--- a/python/molto/providers.py
+++ b/python/molto/providers.py
@@ -2,7 +2,9 @@
 from typing import Literal, TypeAlias
 
 Endpoint: TypeAlias = Literal["responses", "chat/completions", "messages"]
-Provider: TypeAlias = Literal["anthropic", "openai", "vllm"]
+Provider: TypeAlias = Literal[
+    "anthropic", "bedrock", "fireworks", "gemini", "openai", "openrouter", "togetherai", "vllm"
+]
 ReasoningRepresentation: TypeAlias = Literal["raw", "summary"]
 
 
@@ -13,10 +15,37 @@ class ProviderCapabilities:
 
 PROVIDER_CAPABILITIES: dict[Provider, ProviderCapabilities] = {
     "anthropic": ProviderCapabilities(thinking="summary"),
+    "bedrock": ProviderCapabilities(thinking="summary"),
+    "fireworks": ProviderCapabilities(thinking="summary"),
     "openai": ProviderCapabilities(thinking="summary"),
+    "gemini": ProviderCapabilities(thinking="raw"),
+    "openrouter": ProviderCapabilities(thinking="summary"),
+    "togetherai": ProviderCapabilities(thinking="raw"),
     "vllm": ProviderCapabilities(thinking="raw"),
 }
 
+# These destinations select transport only; they do not certify model support.
+PROVIDER_BASE_URLS: dict[str, dict[Endpoint, str]] = {
+    "fireworks": {
+        "responses": "https://api.fireworks.ai/inference/v1",
+        "chat/completions": "https://api.fireworks.ai/inference/v1",
+        "messages": "https://api.fireworks.ai/inference",
+    },
+    "openrouter": {
+        "responses": "https://openrouter.ai/api/v1",
+        "chat/completions": "https://openrouter.ai/api/v1",
+        "messages": "https://openrouter.ai/api",
+    },
+}
+
+PROVIDER_KEY_NAMES = {
+    "bedrock": "AWS_BEARER_TOKEN_BEDROCK",
+    "fireworks": "FIREWORKS_API_KEY",
+    "gemini": "GEMINI_API_KEY",
+    "openrouter": "OPENROUTER_API_KEY",
+    "togetherai": "TOGETHER_AI_API_KEY",
+}
+
 DEFAULT_PROVIDER_BY_ENDPOINT: dict[Endpoint, Provider] = {
     "responses": "openai",
     "chat/completions": "openai",
diff --git a/python/molto/types/openai_chat_completions.py b/python/molto/types/openai_chat_completions.py
index 806ec34..ba40fed 100644
--- a/python/molto/types/openai_chat_completions.py
+++ b/python/molto/types/openai_chat_completions.py
@@ -17,7 +17,15 @@
     ChatCompletionAssistantMessageParam,
 )
 from openai.types.chat.chat_completion_audio_param import ChatCompletionAudioParam
-from openai.types.chat.chat_completion_content_part_param import ChatCompletionContentPartParam
+from openai.types.chat.chat_completion_content_part_image_param import (
+    ChatCompletionContentPartImageParam,
+)
+from openai.types.chat.chat_completion_content_part_input_audio_param import (
+    ChatCompletionContentPartInputAudioParam,
+)
+from openai.types.chat.chat_completion_content_part_param import (
+    File as ChatCompletionContentPartFileParam,
+)
 from openai.types.chat.chat_completion_content_part_refusal_param import (
     ChatCompletionContentPartRefusalParam,
 )
@@ -27,6 +35,12 @@
 from openai.types.chat.chat_completion_developer_message_param import (
     ChatCompletionDeveloperMessageParam,
 )
+from openai.types.chat.chat_completion_message_custom_tool_call_param import (
+    ChatCompletionMessageCustomToolCallParam,
+)
+from openai.types.chat.chat_completion_message_function_tool_call_param import (
+    ChatCompletionMessageFunctionToolCallParam,
+)
 from openai.types.chat.chat_completion_message_param import ChatCompletionMessageParam
 from openai.types.chat.chat_completion_prediction_content_param import (
     ChatCompletionPredictionContentParam,
@@ -52,53 +66,110 @@
 from openai.types.shared.chat_model import ChatModel
 from openai.types.shared.metadata import Metadata
 from openai.types.shared.reasoning_effort import ReasoningEffort
-from pydantic import Field
+from pydantic import Field, JsonValue, SerializationInfo, TypeAdapter, field_serializer
 from typing_extensions import NotRequired, Required, TypedDict
 
 from molto.types.base import ExcludeNoneModel
 
 
+class GoogleExtraContent(TypedDict):
+    """Opaque Google continuation state, retained at its original attachment."""
+
+    google: Required[dict[str, JsonValue]]
+
+
+class ChatCompletionTextPartParam(ChatCompletionContentPartTextParam):
+    """Text content with Google's per-part continuation extension."""
+
+    extra_content: NotRequired[GoogleExtraContent]
+
+
+class ChatCompletionImagePartParam(ChatCompletionContentPartImageParam):
+    """Image content with Google's per-part continuation extension."""
+
+    extra_content: NotRequired[GoogleExtraContent]
+
+
+class ChatCompletionAudioPartParam(ChatCompletionContentPartInputAudioParam):
+    """Audio content with Google's per-part continuation extension."""
+
+    extra_content: NotRequired[GoogleExtraContent]
+
+
+class ChatCompletionFilePartParam(ChatCompletionContentPartFileParam):
+    """File content with Google's per-part continuation extension."""
+
+    extra_content: NotRequired[GoogleExtraContent]
+
+
+class ChatCompletionRefusalPartParam(ChatCompletionContentPartRefusalParam):
+    """Refusal content with Google's per-part continuation extension."""
+
+    extra_content: NotRequired[GoogleExtraContent]
+
+
+class ChatCompletionFunctionToolCallParam(ChatCompletionMessageFunctionToolCallParam):
+    """A function call retaining its own Google continuation state."""
+
+    extra_content: NotRequired[GoogleExtraContent]
+
+
+OpenAIChatCompletionContentPartParam: TypeAlias = Union[
+    ChatCompletionTextPartParam,
+    ChatCompletionImagePartParam,
+    ChatCompletionAudioPartParam,
+    ChatCompletionFilePartParam,
+]
+
+
 class ChatCompletionAssistantMessageWithReasoningParam(ChatCompletionAssistantMessageParam):
     """Provider-compatible assistant message containing either raw reasoning or summary."""
 
     reasoning_content: NotRequired[str]
+    reasoning: NotRequired[str | list[str]]
+    extra_content: NotRequired[GoogleExtraContent]
+    tool_calls: NotRequired[
+        list[ChatCompletionFunctionToolCallParam | ChatCompletionMessageCustomToolCallParam]
+    ]
     content: NotRequired[
-        str
-        | list[ChatCompletionContentPartTextParam | ChatCompletionContentPartRefusalParam]
-        | None
+        str | list[ChatCompletionTextPartParam | ChatCompletionRefusalPartParam] | None
     ]
 
 
 class ChatCompletionUserMessageListParam(TypedDict):
     """User message with eagerly validated, repeatable content parts."""
 
-    content: Required[str | list[ChatCompletionContentPartParam]]
+    content: Required[str | list[OpenAIChatCompletionContentPartParam]]
     role: Required[Literal["user"]]
     name: NotRequired[str]
+    extra_content: NotRequired[GoogleExtraContent]
 
 
 class ChatCompletionSystemMessageListParam(TypedDict):
     """System message with eagerly validated, repeatable content parts."""
 
-    content: Required[str | list[ChatCompletionContentPartTextParam]]
+    content: Required[str | list[ChatCompletionTextPartParam]]
     role: Required[Literal["system"]]
     name: NotRequired[str]
+    extra_content: NotRequired[GoogleExtraContent]
 
 
 class ChatCompletionDeveloperMessageListParam(TypedDict):
     """Developer message with eagerly validated, repeatable content parts."""
 
-    content: Required[str | list[ChatCompletionContentPartTextParam]]
+    content: Required[str | list[ChatCompletionTextPartParam]]
     role: Required[Literal["developer"]]
     name: NotRequired[str]
+    extra_content: NotRequired[GoogleExtraContent]
 
 
 class ChatCompletionToolMessageListParam(TypedDict):
     """Tool message with eagerly validated, repeatable text content parts."""
 
-    content: Required[str | list[ChatCompletionContentPartTextParam]]
+    content: Required[str | list[ChatCompletionTextPartParam]]
     role: Required[Literal["tool"]]
     tool_call_id: Required[str]
+    extra_content: NotRequired[GoogleExtraContent]
 
 
 _RETAINED_CHAT_MESSAGE_PARAMS = tuple(
@@ -121,6 +192,7 @@ class ChatCompletionToolMessageListParam(TypedDict):
     ChatCompletionAssistantMessageWithReasoningParam,
     *_RETAINED_CHAT_MESSAGE_PARAMS,  # pyright: ignore[reportInvalidTypeForm]
 ]
+_CHAT_MESSAGES_ADAPTER = TypeAdapter(list[OpenAIChatCompletionMessageParam])
 
 
 class OpenAIChatCompletionsCreateRequest(ExcludeNoneModel):
@@ -275,6 +347,21 @@ class OpenAIChatCompletionsCreateRequest(ExcludeNoneModel):
         Field(description="Configuration for the web search tool."),
     ] = None
 
+    @field_serializer("messages")
+    def serialize_messages(self, messages, info: SerializationInfo):
+        # Explicit native history nulls are wire values, unlike unset optional
+        # request parameters. In particular, tool-only assistant content is null.
+        return _CHAT_MESSAGES_ADAPTER.dump_python(
+            messages,
+            mode=info.mode,
+            include=info.include,
+            exclude=info.exclude,
+            by_alias=info.by_alias,
+            exclude_unset=info.exclude_unset,
+            exclude_defaults=info.exclude_defaults,
+            exclude_none=False,
+        )
+
 
 # The SDK's response classes are already Pydantic models generated from the
 # endpoint schema, so aliases preserve the full nested response structures.
diff --git a/python/molto/types/openai_responses.py b/python/molto/types/openai_responses.py
index 1cfb32b..c804d9b 100644
--- a/python/molto/types/openai_responses.py
+++ b/python/molto/types/openai_responses.py
@@ -78,6 +78,10 @@ class ResponseReasoningItemOptionalIDParam(ExcludeNoneModel):
         Literal["in_progress", "completed", "incomplete"] | None,
         Field(description="The reasoning item status."),
     ] = None
+    format: Annotated[
+        str | None,
+        Field(description="Provider-specific reasoning format required for native continuation."),
+    ] = None
 
 
 class ResponseOutputTextCacheBreakpointParam(ResponseOutputTextParam, total=False):
diff --git a/python/molto/upstream/anthropic.py b/python/molto/upstream/anthropic.py
index e2fab59..b30aa04 100644
--- a/python/molto/upstream/anthropic.py
+++ b/python/molto/upstream/anthropic.py
@@ -3,9 +3,10 @@
 from collections.abc import AsyncIterator
 from contextlib import aclosing
 from dataclasses import dataclass
+from os import environ
 from typing import Any, NoReturn
 
-from anthropic import APIStatusError, AsyncAnthropic, AsyncStream
+from anthropic import APIStatusError, AsyncAnthropic, AsyncStream, omit
 from anthropic import AuthenticationError as AnthropicAuthenticationError
 from anthropic import BadRequestError as AnthropicBadRequestError
 from anthropic import NotFoundError as AnthropicNotFoundError
@@ -313,10 +314,33 @@ class AnthropicMessagesClient(
     DEFAULT_BASE_URL = "https://api.anthropic.com"
 
     def _make_anthropic_client(self) -> AsyncAnthropic:
+        if self._required_api_key and not self._api_key:
+            raise TypeError(
+                '"Could not resolve authentication method. '
+                f"Set {self._required_api_key} or pass api_key."
+            )
+        default_headers = None
+        if self._required_api_key:
+            # The SDK merges ANTHROPIC_CUSTOM_HEADERS case-sensitively after
+            # authentication. Omit every supplied spelling before installing
+            # the selected hosted provider's credential and auth scheme.
+            default_headers = {
+                line.partition(":")[0].strip(): omit
+                for line in environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
+                if line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
+            }
+            default_headers.update(
+                {
+                    "Authorization": f"Bearer {self._api_key}" if self._bearer_auth else omit,
+                    "X-Api-Key": omit if self._bearer_auth else self._api_key,
+                }
+            )
         return AsyncAnthropic(
-            api_key=self._api_key,
+            api_key=None if self._bearer_auth else self._api_key,
+            auth_token=self._api_key if self._bearer_auth else None,
             base_url=self._base_url or self.DEFAULT_BASE_URL,
             http_client=self._http_client,
+            default_headers=default_headers,
         )
 
     async def native_events(
diff --git a/python/molto/upstream/base.py b/python/molto/upstream/base.py
index 82d53a4..622e620 100644
--- a/python/molto/upstream/base.py
+++ b/python/molto/upstream/base.py
@@ -4,7 +4,7 @@
 from typing import Any, NoReturn
 
 from httpx import URL, AsyncClient, Headers, Request
-from openai import AsyncOpenAI, omit
+from openai import AsyncOpenAI, OpenAIError, omit
 from pydantic import BaseModel
 
 from molto.providers import ProviderCapabilities
@@ -32,6 +32,8 @@ def __init__(
         base_url: str | None = None,
         extra_body: Mapping[str, Any] | None = None,
         extra_headers: Mapping[str, str] | None = None,
+        required_api_key: str | None = None,
+        bearer_auth: bool = False,
     ) -> None:
         self._http_client = http_client
         self._api_key = api_key
@@ -39,6 +41,8 @@ def __init__(
         self._capabilities = capabilities
         self._extra_body = extra_body
         self._extra_headers = extra_headers
+        self._required_api_key = required_api_key
+        self._bearer_auth = bearer_auth
         self.response_headers = Headers()
 
     def _capture_response_headers(self, headers: Headers) -> None:
@@ -46,6 +50,10 @@ def _capture_response_headers(self, headers: Headers) -> None:
         self.response_headers.update(headers)
 
     def _make_sdk_client(self) -> AsyncOpenAI:
+        if self._required_api_key and not self._api_key:
+            raise OpenAIError(
+                f"Missing credentials. Set {self._required_api_key} or pass api_key."
+            )
         return AsyncOpenAI(
             api_key=self._api_key,
             base_url=self._base_url or self.DEFAULT_BASE_URL,
diff --git a/python/molto/upstream/gemini.py b/python/molto/upstream/gemini.py
new file mode 100644
index 0000000..8c6e563
--- /dev/null
+++ b/python/molto/upstream/gemini.py
@@ -0,0 +1,79 @@
+"""Gemini's OpenAI-compatible Chat transport."""
+
+from collections.abc import AsyncIterator
+from contextlib import aclosing
+
+from molto.types.openai_chat_completions import (
+    OpenAIChatCompletionsCreateRequest,
+    OpenAIChatCompletionsStreamChunk,
+)
+from molto.upstream.openai import OpenAIChatCompletionsClient
+
+
+def _register_call(calls: dict[int, str | None], index: int, call_id: str | None) -> None:
+    previous = calls.get(index)
+    if previous and call_id and previous != call_id:
+        raise ValueError("Gemini tool index changed call identity.")
+    if call_id and any(i != index and known_id == call_id for i, known_id in calls.items()):
+        raise ValueError("Gemini tool identity changed index.")
+    calls[index] = call_id or previous
+
+
+class GeminiChatCompletionsClient(OpenAIChatCompletionsClient):
+    DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai"
+
+    async def native_events(
+        self, request: OpenAIChatCompletionsCreateRequest
+    ) -> AsyncIterator[OpenAIChatCompletionsStreamChunk]:
+        # Repair only missing indices. Association uses call IDs, never a chunk's
+        # array positions; already indexed provider chunks retain native fidelity.
+        identities: dict[int, dict[int, str | None]] = {}
+        announced_ids: dict[int, set[str]] = {}
+        async with aclosing(super().native_events(request)) as source:
+            async for original in source:
+                chunk = original.model_copy(deep=True)
+                for choice in chunk.choices:
+                    calls = identities.setdefault(choice.index, {})
+                    announced = announced_ids.setdefault(choice.index, set())
+                    tools = choice.delta.tool_calls or []
+                    # Reserve explicit indices first, including those appearing
+                    # after an unindexed call in this chunk.
+                    for tool in tools:
+                        if tool.index is not None:
+                            if type(tool.index) is not int or tool.index < 0:
+                                raise ValueError(
+                                    "Gemini tool indices must be nonnegative integers."
+                                )
+                            _register_call(calls, tool.index, tool.id)
+                    for tool in tools:
+                        index = tool.index
+                        if index is None:
+                            matches = [
+                                i for i, call_id in calls.items() if tool.id and call_id == tool.id
+                            ]
+                            if matches:
+                                index = matches[0]
+                            elif tool.id:
+                                index = 0
+                                while index in calls:
+                                    index += 1
+                            elif (
+                                len(calls) == 1
+                                and len(tools) == 1
+                                and not (tool.function and tool.function.name)
+                            ):
+                                index = next(iter(calls))
+                            else:
+                                raise ValueError(
+                                    "Gemini tool fragment has no unambiguous index or ID."
+                                )
+                            tool.index = index
+                            _register_call(calls, index, tool.id)
+                            if tool.id in announced:
+                                # IDs used for inference are complete identity
+                                # snapshots; SDK accumulation concatenates them
+                                # unless subsequent snapshots are omitted.
+                                tool.id = None
+                        if tool.id:
+                            announced.add(tool.id)
+                yield chunk
diff --git a/python/molto/upstream/openai.py b/python/molto/upstream/openai.py
index 37c3edc..efa93ab 100644
--- a/python/molto/upstream/openai.py
+++ b/python/molto/upstream/openai.py
@@ -160,6 +160,8 @@ def _function_call_part(item: Any) -> ToolCall:
 
 def _reasoning_part(item: Any) -> Thinking:
     """Project a Responses reasoning item snapshot into a normalized part."""
+    if getattr(item, "format", None) is not None:
+        raise ValueError("Responses reasoning format cannot be translated.")
     return Thinking(
         content="".join(part.text for part in item.content or [] if part.type == "reasoning_text"),
         summary="".join(part.text for part in item.summary if part.type == "summary_text"),
@@ -740,6 +742,7 @@ class OpenAIChatCompletionsClient(
     """OpenAI Chat Completions transport for native and normalized streaming paths."""
 
     DEFAULT_BASE_URL = "https://api.openai.com/v1"
+    REASONING_FIELD = "reasoning_content"
 
     async def native_events(
         self, request: OpenAIChatCompletionsCreateRequest
@@ -780,8 +783,8 @@ async def native_response(
         except Exception as error:
             self._handle_error(error)
 
-    @staticmethod
-    def _assistant_message(parts: list[Thinking | TextOutput | ToolCall]) -> dict[str, Any]:
+    @classmethod
+    def _assistant_message(cls, parts: list[Thinking | TextOutput | ToolCall]) -> dict[str, Any]:
         message: dict[str, Any] = {"role": "assistant"}
         reasoning_parts: list[str] = []
         text_parts: list[dict[str, Any]] = []
@@ -791,11 +794,15 @@ def _assistant_message(parts: list[Thinking | TextOutput | ToolCall]) -> dict[st
                     raise UnsupportedInput(
                         "Chat Completions cannot represent thinking signatures."
                     )
+                if part.summary:
+                    raise UnsupportedInput(
+                        "Chat Completions cannot represent reasoning summaries."
+                    )
                 if text_parts or "tool_calls" in message:
                     raise UnsupportedInput(
                         "Chat Completions cannot preserve this assistant reasoning order."
                     )
-                reasoning_parts.append(part.content or part.summary)
+                reasoning_parts.append(part.content)
             elif isinstance(part, TextOutput):
                 if "tool_calls" in message:
                     raise UnsupportedInput(
@@ -817,15 +824,15 @@ def _assistant_message(parts: list[Thinking | TextOutput | ToolCall]) -> dict[st
                     }
                 )
         if reasoning_parts:
-            message["reasoning_content"] = "\n".join(reasoning_parts)
+            message[cls.REASONING_FIELD] = "\n".join(reasoning_parts)
         if len(text_parts) == 1 and "prompt_cache_breakpoint" not in text_parts[0]:
             message["content"] = text_parts[0]["text"]
-        else:
-            message["content"] = text_parts if text_parts or not parts else None
+        elif text_parts or not parts:
+            message["content"] = text_parts
         return message
 
-    @staticmethod
-    def _messages(request: NormalizedRequest) -> list[dict[str, Any]]:
+    @classmethod
+    def _messages(cls, request: NormalizedRequest) -> list[dict[str, Any]]:
         messages: list[dict[str, Any]] = []
         assistant_parts: list[Thinking | TextOutput | ToolCall] = []
         explicit_assistant = False
@@ -836,7 +843,7 @@ def _messages(request: NormalizedRequest) -> list[dict[str, Any]]:
         def flush_assistant() -> None:
             nonlocal explicit_assistant
             if explicit_assistant or assistant_parts:
-                messages.append(OpenAIChatCompletionsClient._assistant_message(assistant_parts))
+                messages.append(cls._assistant_message(assistant_parts))
                 assistant_parts.clear()
                 explicit_assistant = False
 
@@ -1085,11 +1092,27 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
 
                 if chunk.choices:
                     choice = chunk.choices[0]
-                    reasoning_delta = getattr(choice.delta, "reasoning_content", None)
+                    if any(
+                        getattr(attachment, "extra_content", None)
+                        for attachment in (choice.delta, *(choice.delta.tool_calls or []))
+                    ):
+                        raise ValueError("Chat Completions extra_content cannot be translated.")
+                    reasoning_delta = getattr(choice.delta, self.REASONING_FIELD, None)
+                    alternate_reasoning_field = (
+                        "reasoning_content" if self.REASONING_FIELD == "reasoning" else "reasoning"
+                    )
+                    if getattr(choice.delta, alternate_reasoning_field, None):
+                        raise ValueError(
+                            f"Chat Completions reasoning field {alternate_reasoning_field!r} "
+                            f"cannot be translated with the {self.REASONING_FIELD!r} dialect."
+                        )
                     # Reasoning and text may interleave: a non-empty reasoning chunk
                     # ends an active text part and starts a new thinking part. Empty
                     # reasoning chunks carry nothing and never start or switch parts.
                     if reasoning_delta:
+                        if active_tool_call_index is not None:
+                            yield end_tool_call(active_tool_call_index)
+                            active_tool_call_index = None
                         if active_part == "text":
                             ended_part = end_active_part()
                             if ended_part is not None:
@@ -1102,29 +1125,31 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
                             delta=self._classify_thinking_delta(reasoning_delta),
                         )
 
-                    if choice.delta.content is not None:
-                        is_empty_role_chunk = (
-                            choice.delta.role is not None and choice.delta.content == ""
+                    if choice.delta.content:
+                        if active_tool_call_index is not None:
+                            yield end_tool_call(active_tool_call_index)
+                            active_tool_call_index = None
+                        if active_part == "thinking":
+                            ended_part = end_active_part()
+                            if ended_part is not None:
+                                yield ended_part
+                        if active_part is None:
+                            yield start_part(TextOutput(content=""))
+                        part_text += choice.delta.content
+                        yield PartDeltaEvent(
+                            index=active_part_index,
+                            delta=TextDelta(content_delta=choice.delta.content),
                         )
-                        if not is_empty_role_chunk:
-                            if active_part == "thinking":
-                                ended_part = end_active_part()
-                                if ended_part is not None:
-                                    yield ended_part
-                            if active_part is None:
-                                yield start_part(TextOutput(content=""))
-                            if choice.delta.content:
-                                part_text += choice.delta.content
-                                yield PartDeltaEvent(
-                                    index=active_part_index,
-                                    delta=TextDelta(content_delta=choice.delta.content),
-                                )
 
-                    if choice.delta.tool_calls is not None:
+                    if choice.delta.tool_calls:
                         ended_part = end_active_part()
                         if ended_part is not None:
                             yield ended_part
                         for tool_call_delta in choice.delta.tool_calls:
+                            if tool_call_delta.index is None:
+                                raise ValueError(
+                                    "Chat Completions tool-call deltas require an index."
+                                )
                             function_delta = tool_call_delta.function
                             state = tool_calls.get(tool_call_delta.index)
                             if state is None:
diff --git a/python/molto/upstream/together.py b/python/molto/upstream/together.py
new file mode 100644
index 0000000..0fbc4f0
--- /dev/null
+++ b/python/molto/upstream/together.py
@@ -0,0 +1,32 @@
+"""Together's documented Chat Completions transport and reasoning dialect."""
+
+from typing import NoReturn
+
+from openai import APIStatusError, AsyncOpenAI, BadRequestError, OpenAIError
+
+from molto.types.exceptions import ContextLengthExceededError, ModelNotFoundError
+from molto.upstream.openai import OpenAIChatCompletionsClient
+
+
+class TogetherAIChatCompletionsClient(OpenAIChatCompletionsClient):
+    DEFAULT_BASE_URL = "https://api.together.ai/v1"
+    REASONING_FIELD = "reasoning"
+
+    def _make_sdk_client(self) -> AsyncOpenAI:
+        # The OpenAI SDK otherwise falls back to its own environment credentials.
+        if not self._api_key:
+            raise OpenAIError("Missing credentials. Set TOGETHER_AI_API_KEY or pass api_key.")
+        return super()._make_sdk_client()
+
+    def _handle_error(self, error: Exception) -> NoReturn:
+        if isinstance(error, BadRequestError) and (
+            "is longer than the model's context length" in error.message
+        ):
+            raise ContextLengthExceededError(
+                error.message, response=error.response, body=error.body
+            ) from error
+        if isinstance(error, APIStatusError) and error.code == "model_not_available":
+            raise ModelNotFoundError(
+                error.message, response=error.response, body=error.body
+            ) from error
+        super()._handle_error(error)
diff --git a/python/molto/utils/test.py b/python/molto/utils/test.py
index 6ba8c80..7b22fca 100644
--- a/python/molto/utils/test.py
+++ b/python/molto/utils/test.py
@@ -67,6 +67,45 @@ def assert_contains_expected(actual: Any, expected: Any, path: str = "$") -> Non
         assert actual == expected, f"Value mismatch at {path}: {actual!r} != {expected!r}"
 
 
+def assert_chat_choice_matches(actual: dict[str, Any], expected: dict[str, Any]) -> None:
+    """Compare Chat choices without discarding or trusting duplicated provider text."""
+    assert "delta" in actual and "delta" in expected
+    for key in actual.keys() | expected.keys():
+        if key == "text":
+            # Together may send {"text": "Hi", "delta": {"content": "Hi"}},
+            # while translated Chat only has delta. Check the duplicate so a
+            # contradictory text value cannot disappear from the comparison.
+            for choice in (actual, expected):
+                if "text" in choice:
+                    assert choice["text"] == (choice["delta"].get("content") or ""), (
+                        "Choice text must equal delta.content"
+                    )
+        else:
+            assert key in actual and key in expected, f"Missing choice field: {key}"
+            assert actual[key] == expected[key], f"Choice field mismatch: {key}"
+
+
+def assert_chat_completions_chunks_match(
+    actual: list[dict[str, Any]], expected: list[dict[str, Any]]
+) -> None:
+    """Compare reconstructed chunks exactly except for verified duplicate choice text."""
+    assert len(actual) == len(expected), "Chat chunk counts differ"
+    for actual_chunk, expected_chunk in zip(actual, expected, strict=True):
+        assert actual_chunk.keys() == expected_chunk.keys(), "Chat chunk fields differ"
+        for key in actual_chunk:
+            if key == "choices":
+                actual_choices, expected_choices = actual_chunk[key], expected_chunk[key]
+                assert len(actual_choices) == len(expected_choices), "Chat choice counts differ"
+                for actual_choice, expected_choice in zip(
+                    actual_choices, expected_choices, strict=True
+                ):
+                    assert_chat_choice_matches(actual_choice, expected_choice)
+            else:
+                assert actual_chunk[key] == expected_chunk[key], (
+                    f"Chat chunk field mismatch: {key}"
+                )
+
+
 def reconstructable_chat_completions_chunks(
     sse: str,
     body: dict[str, Any],
@@ -88,14 +127,26 @@ def reconstructable_chat_completions_chunks(
         # TODO: Remove this as soon as we support logprobs
         if choice.get("logprobs") in (None, ""):
             choice.pop("logprobs", None)
-        if choice["finish_reason"] is not None:
-            delta = choice["delta"]
-            for field_name in ("content", "reasoning_content"):
-                if delta.get(field_name) in (None, ""):
-                    delta.pop(field_name, None)
+        delta = choice["delta"]
+        for field_name in ("content", "refusal", "reasoning_content", "reasoning", "token_id"):
+            if delta.get(field_name) in (None, ""):
+                delta.pop(field_name, None)
+        # Native Together uses reasoning; translated Chat uses reasoning_content.
+        if "reasoning" in delta and "reasoning_content" not in delta:
+            delta["reasoning_content"] = delta.pop("reasoning")
+        for tool in delta.get("tool_calls") or []:
+            # Function type can be repeated or omitted on argument continuations;
+            # SDK validation already limits this field to the function variant.
+            tool["type"] = tool.get("type") or "function"
+            if tool.get("id") is None:
+                tool.pop("id", None)
+            function = tool.get("function")
+            if isinstance(function, dict) and function.get("name") is None:
+                function.pop("name", None)
 
     usage = chunk.get("usage")
     if not isinstance(usage, dict):
+        chunk["usage"] = None
         return [chunk]
 
     prompt_details = usage.get("prompt_tokens_details") or {}
@@ -696,6 +747,14 @@ def _response_from_cassette(
                 request=request,
             )
 
+        if "body_bytes" in response:
+            return httpx.Response(
+                status_code,
+                content=response["body_bytes"],
+                headers=headers,
+                request=request,
+            )
+
         body = response.get("body")
         if isinstance(body, str):
             return httpx.Response(
diff --git a/scripts/match_anthropic_cassette_responses.py b/scripts/match_anthropic_cassette_responses.py
index e3e0f35..27f2287 100644
--- a/scripts/match_anthropic_cassette_responses.py
+++ b/scripts/match_anthropic_cassette_responses.py
@@ -503,6 +503,8 @@ def match_messages_response(
     message_usage["service_tier"] = "standard"
 
     messages_cassette["request"]["body"] = matched_request
+    # Matched output intentionally replaces the original recorded response bytes.
+    messages_cassette["response"].pop("body_bytes", None)
 
 
 def _parse_args(argv: list[str] | None = None) -> argparse.Namespace:
diff --git a/scripts/match_openai_cassette_responses.py b/scripts/match_openai_cassette_responses.py
index 9d03d7b..b34b3bd 100644
--- a/scripts/match_openai_cassette_responses.py
+++ b/scripts/match_openai_cassette_responses.py
@@ -360,6 +360,8 @@ def match_chat_completions_response(
     chat_response["object"] = "chat.completion"
     chat_response["service_tier"] = "default"
     _map_usage(_validated_usage(response), chat_usage)
+    # Matched output intentionally replaces the original recorded response bytes.
+    chat_cassette["response"].pop("body_bytes", None)
 
 
 def _parse_args(argv: list[str] | None = None) -> argparse.Namespace:
diff --git a/scripts/record_provider_conversation.py b/scripts/record_provider_conversation.py
new file mode 100644
index 0000000..46f65e6
--- /dev/null
+++ b/scripts/record_provider_conversation.py
@@ -0,0 +1,334 @@
+#!/usr/bin/env python3
+"""Record controlled native Chat conversations independently of Molto translation.
+
+Run explicitly outside pytest. Each invocation creates a fresh staging directory;
+review its original recordings before promotion. SDK accumulation failures are
+evidence, and deliberately stop the conversation instead of repairing history.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from dotenv import load_dotenv
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+
+from scripts import recorder_proxy
+
+
+def assistant_history(message) -> dict:
+    """Remove only SDK bookkeeping and empty output-only annotations."""
+    history = message.model_dump(exclude_unset=True)
+    history.pop("parsed", None)
+    if history.get("annotations") == []:
+        history.pop("annotations")
+    for call in history.get("tool_calls") or []:
+        call.pop("index", None)
+        if "function" in call:
+            call["function"].pop("parsed_arguments", None)
+    return history
+
+
+def accumulation_chunk(event, roles: dict[int, str]):
+    """Remove repeated role snapshots from a copy before SDK string accumulation."""
+    chunk = event.model_copy(deep=True)
+    for choice in chunk.choices:
+        role = choice.delta.role
+        if role is None:
+            continue
+        previous = roles.get(choice.index)
+        if previous is not None and role != previous:
+            raise ValueError("Provider changed the role during a streamed choice.")
+        if previous is not None:
+            # Together repeats the complete role, whereas the SDK concatenates strings.
+            choice.delta = type(choice.delta).model_validate(
+                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
+            )
+        roles[choice.index] = role
+    return chunk
+
+
+def verify_accumulation(events: list[dict], history: dict) -> None:
+    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
+    reasoning = {"reasoning": [], "reasoning_content": []}
+    for event in events:
+        for choice in event["choices"]:
+            if choice["index"] != 0:
+                raise ValueError("The recording scenario requires exactly one choice.")
+            delta = choice["delta"]
+            if delta.get("role") is not None and delta["role"] != history.get("role"):
+                raise ValueError("Accumulated role differs from the original provider metadata.")
+            for field, fragments in reasoning.items():
+                if delta.get(field) is not None:
+                    if not isinstance(delta[field], str):
+                        raise ValueError(
+                            "Cannot independently accumulate non-string reasoning deltas."
+                        )
+                    fragments.append(delta[field])
+            owners = [(delta, history)]
+            for call in delta.get("tool_calls") or []:
+                owners.append((call, history["tool_calls"][call["index"]]))
+            for source, collected in owners:
+                if "extra_content" in source and source["extra_content"] != collected.get(
+                    "extra_content"
+                ):
+                    raise ValueError(
+                        "SDK accumulation changed an opaque extra_content attachment."
+                    )
+    for field, fragments in reasoning.items():
+        if fragments and history.get(field) != "".join(fragments):
+            raise ValueError("SDK accumulation changed reasoning history.")
+
+
+def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
+    """Require the complete requested conversation before marking provider evidence complete."""
+    if history.get("role") != "assistant":
+        raise ValueError("SDK accumulation did not retain the assistant role.")
+    calls = history.get("tool_calls") or []
+    expected = []
+    if scenario == "tools" and turn < 2:
+        expected = [[2, 3]] if turn == 0 else [[4, 5]]
+    elif scenario == "parallel" and turn == 0:
+        expected = [[2, 3], [4, 7]]
+    if len(calls) != len(expected):
+        raise ValueError("Provider did not return the required number of tool calls.")
+    if finish_reason != ("tool_calls" if expected else "stop"):
+        raise ValueError("Provider did not complete the requested turn.")
+    if not calls:
+        if not isinstance(history.get("content"), str) or not history["content"].strip():
+            raise ValueError("Provider did not return a final text answer.")
+        return
+    identities = [call.get("id") for call in calls]
+    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
+        set(identities)
+    ) != len(identities):
+        raise ValueError("Provider tool identities are missing or duplicated.")
+    arguments = []
+    for call in calls:
+        function = call["function"]
+        if function["name"] != "add":
+            raise ValueError("Provider returned an unexpected tool.")
+        values = json.loads(function["arguments"])
+        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
+            raise ValueError("Provider returned invalid add arguments.")
+        arguments.append(sorted(values.values()))
+    if sorted(arguments) != expected:
+        raise ValueError("Provider did not execute the requested tool scenario.")
+
+
+async def record(args: argparse.Namespace) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "source_hashes": {
+            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
+            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
+        },
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "provider": args.provider,
+        "upstream_protocol": "chat/completions",
+        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
+        "requested_model": args.model,
+        "authentication": f"Bearer credential from {args.key_env}; value excluded",
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "max_tokens": args.max_tokens,
+        "extra_body": args.extra_body,
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": (
+            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
+            "original SSE and role metadata retained and checked independently"
+        ),
+        "turns": [],
+        "status": "incomplete",
+    }
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
+                {"type": "text", "text": "Reply briefly."},
+            ],
+        }
+    ]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "add",
+                "description": "Add two integers.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "a": {"type": "integer"},
+                        "b": {"type": "integer"},
+                    },
+                    "required": ["a", "b"],
+                    "additionalProperties": False,
+                },
+            },
+        }
+    ]
+    if args.scenario != "text":
+        messages = [
+            {
+                "role": "user",
+                "content": (
+                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
+                    "Then give the final answer."
+                    if args.scenario == "tools"
+                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+                ),
+            }
+        ]
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            async with AsyncOpenAI(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    turn_info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(turn_info)
+                    body = {
+                        "model": args.model,
+                        "messages": messages,
+                        "stream": args.stream,
+                        "max_tokens": args.max_tokens,
+                    }
+                    if args.stream:
+                        body["stream_options"] = {"include_usage": True}
+                    if args.scenario != "text":
+                        body["tools"] = tools
+                        if args.scenario == "parallel":
+                            body["parallel_tool_calls"] = True
+                            body["tool_choice"] = "required" if turn == 0 else "none"
+                        else:
+                            body["tool_choice"] = (
+                                "none"
+                                if turn == 2
+                                else {"type": "function", "function": {"name": "add"}}
+                            )
+                    try:
+                        result = await client.chat.completions.create(
+                            **body, extra_body=args.extra_body
+                        )
+                        if args.stream:
+                            state = ChatCompletionStreamState()
+                            events = []
+                            roles = {}
+                            async with result:
+                                async for event in result:
+                                    events.append(event.model_dump(exclude_unset=True))
+                                    state.handle_chunk(accumulation_chunk(event, roles))
+                            result = state.get_final_completion()
+                        turn_info["returned_model"] = result.model
+                        if len(result.choices) != 1:
+                            raise ValueError("The recording scenario requires exactly one choice.")
+                        choice = result.choices[0]
+                        turn_info["finish_reason"] = choice.finish_reason
+                        history = assistant_history(choice.message)
+                        if args.stream:
+                            verify_accumulation(events, history)
+                        validate_turn(history, choice.finish_reason, args.scenario, turn)
+                        messages.append(history)
+                        calls = history.get("tool_calls") or []
+                        for call in calls:
+                            function = call["function"]
+                            arguments = json.loads(function["arguments"])
+                            messages.append(
+                                {
+                                    "role": "tool",
+                                    "tool_call_id": call["id"],
+                                    "content": str(arguments["a"] + arguments["b"]),
+                                }
+                            )
+                        if args.scenario == "text" and turn == 0:
+                            messages.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": "text", "text": "Repeat the phrase"},
+                                        {
+                                            "type": "text",
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        turn_info["status"] = "complete"
+                    finally:
+                        turn_info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        # Exception strings may contain echoed headers or credentials; retain the
+        # class and stack locations while the proxy retains the reviewed response.
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/scripts/recorder_proxy.py b/scripts/recorder_proxy.py
index 0ab8897..6cc4659 100644
--- a/scripts/recorder_proxy.py
+++ b/scripts/recorder_proxy.py
@@ -10,6 +10,7 @@
 
 import argparse
 import json
+from collections.abc import Awaitable, Callable
 from contextlib import asynccontextmanager
 from datetime import datetime, timezone
 from pathlib import Path
@@ -18,46 +19,21 @@
 import uvicorn
 from anyio import CancelScope
 from fastapi import FastAPI, Request, Response
-from fastapi.responses import JSONResponse, StreamingResponse
-from httpx import AsyncClient, HTTPStatusError
+from fastapi.responses import StreamingResponse
+from httpx import URL, AsyncClient
 from loguru import logger
-from pydantic_ai.retries import AsyncTenacityTransport, RetryConfig, wait_retry_after
 from starlette.types import Send
-from tenacity import retry_if_exception_type, stop_after_attempt, wait_exponential
 from uuid_utils import uuid7
 from yaml import dump as yaml_dump
 
-# Defaults
-OUTPUT_DIR = Path("tests") / "cassettes/matched/tool_call"
+# Unreviewed captures must never enter the matched fixture corpus.
+OUTPUT_DIR = Path("/tmp/molto-recordings")
 TARGET_HOST = "https://api.openai.com"
 TIMEOUT = 60 * 5  # 5 minutes
 
-
-def should_retry_status(response) -> None:
-    """Raise exceptions for retryable HTTP status codes."""
-    if response.status_code in (429, 502, 503, 504):
-        response.raise_for_status()  # This will raise HTTPStatusError
-
-
-HTTP_CLIENT = AsyncClient(
-    timeout=TIMEOUT,
-    transport=AsyncTenacityTransport(
-        config=RetryConfig(
-            # Retry on HTTP errors and connection issues
-            retry=retry_if_exception_type((HTTPStatusError, ConnectionError)),
-            # Smart waiting: respects Retry-After headers, falls back to exponential backoff
-            wait=wait_retry_after(
-                fallback_strategy=wait_exponential(multiplier=1, max=60),
-                max_wait=300,
-            ),
-            # Stop after 5 attempts
-            stop=stop_after_attempt(5),
-            # Re-raise the last exception if all retries fail
-            reraise=True,
-        ),
-        validate_response=should_retry_status,
-    ),
-)
+# Each exchange is evidence: retries would conceal the original provider failure.
+# Native SDK callers must likewise set max_retries=0.
+HTTP_CLIENT = AsyncClient(timeout=TIMEOUT)
 
 # Headers to record (whitelist)
 RECORDED_HEADERS = {
@@ -71,6 +47,9 @@ def should_retry_status(response) -> None:
     "connection",
     # Helpful for grouping multi-request tool loops into a single "run"
     "x-run-id",
+    "x-request-id",
+    "request-id",
+    "retry-after",
 }
 
 # Headers to exclude when forwarding response (they're handled by httpx/client)
@@ -115,8 +94,6 @@ def save_recording(recording: dict[str, Any], filename: str):
     """Save recording to file."""
     OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
     filepath = OUTPUT_DIR / filename
-    # with open(filepath, "w", encoding="utf-8") as f:
-    #     json.dump(recording, f, indent=2, ensure_ascii=False)
     with open(filepath.with_suffix(".yaml"), "w", encoding="utf-8") as f:
         yaml_dump(recording, f, allow_unicode=True, encoding="utf-8")
 
@@ -131,6 +108,10 @@ async def lifespan(app: FastAPI):
 
 
 class RecordingStreamingResponse(StreamingResponse):
+    def __init__(self, *args, on_close: Callable[[], Awaitable[None]], **kwargs):
+        super().__init__(*args, **kwargs)
+        self.on_close = on_close
+
     async def stream_response(self, send: Send) -> None:
         try:
             await super().stream_response(send)
@@ -138,7 +119,39 @@ async def stream_response(self, send: Send) -> None:
             # A disconnect during send leaves the generator suspended at yield.
             # Close it explicitly so its recording is saved before returning.
             with CancelScope(shield=True):
-                await self.body_iterator.aclose()
+                try:
+                    await self.body_iterator.aclose()
+                finally:
+                    await self.on_close()
+
+
+def decode_body(body: bytes, content_type: str) -> Any:
+    """Retain malformed or non-JSON bodies without inventing a JSON representation."""
+    media_type = content_type.partition(";")[0].strip().lower()
+    if media_type == "application/json" or media_type.endswith("+json"):
+        try:
+            return json.loads(body)
+        except (ValueError, UnicodeDecodeError):
+            pass
+    try:
+        return body.decode("utf-8")
+    except UnicodeDecodeError:
+        return body
+
+
+def mask_secrets(value: Any, secrets: list[str]) -> Any:
+    """Mask known request credentials, including credentials echoed by an upstream error."""
+    if isinstance(value, dict):
+        return {key: mask_secrets(item, secrets) for key, item in value.items()}
+    if isinstance(value, list):
+        return [mask_secrets(item, secrets) for item in value]
+    if isinstance(value, (str, bytes)):
+        for secret in secrets:
+            if isinstance(value, bytes):
+                value = value.replace(secret.encode(), b"***")
+            else:
+                value = value.replace(secret, "***")
+    return value
 
 
 @app.api_route(
@@ -146,30 +159,35 @@ async def stream_response(self, send: Send) -> None:
     methods=["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"],
 )
 async def proxy_request(request: Request, path: str) -> Response:
-    """Proxy all requests and record them."""
-    # Generate request ID
+    """Forward one exchange without retries and retain its observed completion state."""
     request_id = str(uuid7())
-    now = datetime.now()
+    now = datetime.now(timezone.utc)
     filename = f"{now.strftime('%Y-%m-%d')}-{request_id}"
-    logger.info(f"Recording `{path}` to `{OUTPUT_DIR / filename}`...")
-
-    # Build target URL
-    query_string = str(request.query_params)
-    target_url = f"{TARGET_HOST}/{path}"
-    if query_string:
-        target_url += f"?{query_string}"
-
-    # Parse request body
+    logger.info("Recording exchange to {}", OUTPUT_DIR / filename)
+    target = URL(TARGET_HOST)
+    if target.username or target.password or target.query:
+        raise ValueError("Configure credentials on the SDK, not in the proxy target URL")
+    target_url = f"{TARGET_HOST.rstrip('/')}/{path}"
+    secrets = [
+        value
+        for name, value in request.headers.items()
+        if name.lower() in {"authorization", "x-api-key", "api-key"} and value
+    ]
+    authorization = request.headers.get("authorization", "")
+    if authorization.lower().startswith("bearer "):
+        secrets.append(authorization[7:])
+    secrets.extend(
+        value
+        for name, value in request.query_params.multi_items()
+        if name.lower() in {"key", "api_key", "api-key", "access_token"} and value
+    )
     body = await request.body()
-    if not body:
-        body = None
-    parsed_body = json.loads(body.decode("utf-8"))
-
-    # Prepare recording structure
+    parsed_body = decode_body(body, request.headers.get("content-type", ""))
     recording: dict[str, Any] = {
-        "timestamp": now.astimezone(timezone.utc).isoformat(),
+        "timestamp": now.isoformat(),
         "request_id": request_id,
         "filename": filename,
+        "upstream_url": target_url,
         "request": {
             "method": request.method,
             "path": f"/{path}",
@@ -177,88 +195,99 @@ async def proxy_request(request: Request, path: str) -> Response:
             "headers": filter_headers(request.headers),
             "body": parsed_body,
         },
-        "response": {
-            "status_code": None,
-            "headers": {},
-        },
+        "response": {"status_code": None, "headers": {}},
     }
-
-    # Make the request
     new_headers = {k: v for k, v in request.headers.items() if k.lower() != "host"}
-    media_type = "application/json"
-    if parsed_body.get("stream", False):
-
-        async def _stream() -> AsyncGenerator[Response | str, None]:
-            async with HTTP_CLIENT.stream(
-                method=request.method,
-                url=target_url,
-                headers=new_headers,
-                content=body,
-                timeout=TIMEOUT,
-            ) as response:
-                recording["response"]["status_code"] = response.status_code
-                recording["response"]["headers"] = filter_headers(response.headers)
-                try:
-                    yield response
-
-                    if response.status_code != 200:
-                        chunk_str = (await response.aread()).decode()
-                        if media_type == "application/json":
-                            recording["response"]["body"] = json.loads(chunk_str)
+    upstream_request = HTTP_CLIENT.build_request(
+        request.method,
+        target_url,
+        params=request.query_params.multi_items(),
+        headers=new_headers,
+        content=body,
+        timeout=TIMEOUT,
+    )
+    try:
+        response = await HTTP_CLIENT.send(upstream_request, stream=True)
+    except Exception as exc:
+        # Exception text can contain credential-bearing URLs. Retain the class only.
+        recording["response"]["transport_error"] = type(exc).__name__
+        save_recording(mask_secrets(recording, secrets), filename)
+        raise
+    result = recording["response"]
+    result["status_code"] = response.status_code
+    result["headers"] = filter_headers(response.headers)
+    media_type = response.headers.get("content-type", "")
+    if media_type.partition(";")[0].strip().lower() == "text/event-stream":
+        result.update(sse=[], stream_status="disconnected", terminal_event=None, error_event=False)
+
+        async def close_stream() -> None:
+            await response.aclose()
+            save_recording(mask_secrets(recording, secrets), filename)
+
+        async def stream() -> AsyncGenerator[str, None]:
+            try:
+                async for line in response.aiter_lines():
+                    # This is ordered SSE-line evidence, not original TCP/newline bytes.
+                    result["sse"].append(f"{line}\n")
+                    if line.startswith("event:"):
+                        event_type = line.removeprefix("event:").strip()
+                        if event_type in {
+                            "response.completed",
+                            "response.incomplete",
+                            "response.failed",
+                            "message_stop",
+                        }:
+                            result["terminal_event"] = event_type
+                        if event_type == "error":
+                            result["error_event"] = True
+                    if line.startswith("data:"):
+                        data = line.removeprefix("data:").strip()
+                        if data == "[DONE]":
+                            result["terminal_event"] = "[DONE]"
                         else:
-                            recording["response"]["body"] = chunk_str
-                        yield chunk_str
-                    else:
-                        sse_events = recording["response"]["sse"] = []
-                        try:
-                            async for chunk_str in response.aiter_lines():
-                                chunk_str = f"{chunk_str}\n"
-                                # Retain the line before yielding: the SDK may close
-                                # the stream as soon as it receives an error event.
-                                sse_events.append(chunk_str)
-                                yield chunk_str
-                        except Exception as e:
-                            recording["response"]["stream_error"] = f"{e.__class__.__name__}: {e}"
-                finally:
-                    save_recording(recording, recording["filename"])
-                    logger.info("Streaming recording saved.")
+                            try:
+                                event = json.loads(data)
+                            except ValueError:
+                                event = None
+                            if isinstance(event, dict) and (
+                                event.get("type") == "error" or "error" in event
+                            ):
+                                result["error_event"] = True
+                    yield f"{line}\n"
+                result["stream_status"] = "complete"
+            except Exception as exc:
+                result["stream_status"] = "transport_error"
+                result["transport_error"] = type(exc).__name__
+                raise
 
-        agen = _stream()
-        response: Response = await anext(agen)
-        media_type = response.headers.get("content-type", "text/event-stream")
         return RecordingStreamingResponse(
-            agen,
+            stream(),
+            on_close=close_stream,
             status_code=response.status_code,
             headers=filter_response_headers(response.headers),
-            media_type=media_type,
-        )
-    # Regular request
-    else:
-        response = await HTTP_CLIENT.request(
-            method=request.method,
-            url=target_url,
-            headers=new_headers,
-            content=body,
-            timeout=TIMEOUT,
-        )
-        media_type = response.headers.get("content-type", "application/json")
-        if response.status_code != 200:
-            body = response.text
-            if media_type == "application/json":
-                body = json.loads(body)
-        else:
-            body = response.json()
-        recording["response"]["body"] = body
-        recording["response"]["status_code"] = response.status_code
-        recording["response"]["headers"] = filter_headers(response.headers)
-        save_recording(recording, recording["filename"])
-        return JSONResponse(
-            content=body,
-            status_code=response.status_code,
-            headers=filter_response_headers(response.headers),
-            media_type=media_type,
         )
 
+    chunks = []
+    try:
+        async for chunk in response.aiter_bytes():
+            chunks.append(chunk)
+    except Exception as exc:
+        result["transport_error"] = type(exc).__name__
+        raise
+    finally:
+        # Retain bytes received before a read failure as incomplete evidence too.
+        response_body = b"".join(chunks)
+        result["body"] = decode_body(response_body, media_type)
+        result["body_bytes"] = response_body
+        with CancelScope(shield=True):
+            await response.aclose()
+            save_recording(mask_secrets(recording, secrets), filename)
+    return Response(
+        content=response_body,
+        status_code=response.status_code,
+        headers=filter_response_headers(response.headers),
+    )
+
 
 def main():
     """Run the recording proxy server."""
@@ -286,15 +315,18 @@ def main():
     )
     parser.add_argument(
         "--host",
-        default="0.0.0.0",
+        default="127.0.0.1",
     )
 
     args = parser.parse_args()
 
     OUTPUT_DIR = Path(args.output_dir)
     TARGET_HOST = args.target.rstrip("/")
+    target = URL(TARGET_HOST)
+    if target.username or target.password or target.query:
+        parser.error("Configure credentials on the SDK, not in the proxy target URL")
 
-    print("🎬 Recording Proxy Starting...")
+    print("Recording Proxy Starting (no retries)...")
     print(f"   Proxy: http://{args.host}:{args.port}")
     print(f"   Target: {TARGET_HOST}")
     print(f"   Output: {OUTPUT_DIR.absolute()}")
@@ -305,6 +337,8 @@ def main():
         host=args.host,
         port=args.port,
         log_level="info",
+        # Access logs include the raw query string, which can contain credentials.
+        access_log=False,
     )
 
 
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index f3b4d83..3611546 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -6,7 +6,7 @@ Normal test runs are playback-only. Do not record or rewrite cassettes during a
 
 ## Recorded cassettes
 
-The cassettes under provider directories such as `openai/` preserve the recorded request and response as closely as possible. Authorization values and secret-looking request fields are masked, and only selected headers are retained so the fixtures remain safe and deterministic.
+The cassettes under provider directories such as `openai/` preserve the recorded request and response as closely as possible. Authorization is masked and API-key headers are excluded. The recorder masks known header/query credentials, including exact echoed values, but arbitrary body or query content is not automatically safe. Use controlled prompts and review every persisted field before promotion; retain required opaque continuation state or withhold the capture. Only selected headers are retained.
 
 Recorded headers are informational. In particular, `content-length` is not guaranteed to match the serialized body after sanitization or other approved cassette edits and must not be used as a fixture integrity check.
 
@@ -47,7 +47,7 @@ The context-length streaming requests use the same model and equivalent streamin
 
 The streaming and non-streaming recordings under `errors/context_length_exceeded/` have their repeated request text shortened to a single `x` to keep fixtures small and replay fast. The original instruction and recorded responses, including token counts and SSE events, are preserved. These shortened requests test error handling through replay; they no longer reproduce context overflow against a live provider.
 
-An error delivered inside an HTTP `200` stream is recorded under `response.sse`, retaining status `200`; it must not be rewritten as an HTTP `400` error. The OpenAI SDK may raise a plain `APIError` for such an event without attaching an HTTP status to the exception. If the SDK disconnects before the upstream stream finishes, the recorder saves the SSE lines received so far without adding a disconnect marker. That recording may be partial and does not establish which events the provider would have sent afterward.
+An error delivered inside an HTTP `200` stream is recorded under `response.sse`, retaining status `200`; it must not be rewritten as an HTTP `400` error. The OpenAI SDK may raise a plain `APIError` for such an event without attaching an HTTP status to the exception. If the SDK disconnects before the upstream stream finishes, the recorder saves the SSE lines received so far without inventing terminal events. New captures include `stream_status` (`complete`, `disconnected`, or `transport_error`), `terminal_event`, and `error_event`. HTTP EOF does not prove model completion; an absent terminal marker remains visible. Legacy captures without these fields may be partial. SSE lines are normalized event evidence, not original TCP chunks or newline bytes.
 
 ## Matched cassettes
 
@@ -133,3 +133,22 @@ Relevant test entry points and canonicalization helpers:
 - `tests/utils/test_test_utils.py` covers the canonicalization helpers themselves.
 
 When a matcher changes an SSE payload discriminator, update the corresponding `event:` header as part of the same change. Keep JSON key order and whitespace stable unless the changed value requires reserialization; this keeps fixture diffs focused on intentional semantic alignment.
+
+## Provider recording workflow
+
+`scripts/recorder_proxy.py` defaults to `/tmp/molto-recordings`, binds localhost, and makes one upstream attempt. Native SDK recording callers must also use `max_retries=0`. Non-SSE responses retain `response.body_bytes` as authoritative bytes and a decoded `body` for inspection. Replay prefers bytes; successful response matching drops this raw field on deliberately modified copies. Request-only error matching preserves the complete response unchanged.
+
+Use the standalone native Chat scenario driver outside pytest:
+
+```bash
+uv run --extra test python -m scripts.record_provider_conversation \
+  --provider togetherai --key-env TOGETHER_AI_API_KEY \
+  --base-url https://api.together.ai/v1 --model Qwen/Qwen3.5-9B \
+  --scenario tools --output-dir /tmp/molto-recordings/together-tools
+```
+
+Add `--stream` to record native streaming independently. `--scenario text` records two turns; `tools` records three sequential turns; `parallel` requires two distinct calls and their results. Failed SDK accumulation or incomplete scenarios retain the capture and failure manifest. The driver is Chat-only; other protocols need their native SDK scenario driver before new coverage can be claimed.
+
+Inspect staged captures, scan credentials and private content, and validate actual SDK output against subsequent requests. Copy approved originals unchanged into a recorded directory and commit before editing matched copies. Never generate expected fixtures from Molto output or run pytest in recording mode.
+
+See the [provider evidence matrix](../../docs/provider-compatibility.md) for fresh `provider_recordings/2026-11-03/` captures and the separate historical matched `reference_pr76/` corpus. Together error fixtures imported from PR #76 commit `42b9040cb2c74b3676d1749b2c4473c16b3bda9f` retain their original bytes; they are historical response evidence with matched requests, not fresh live availability.
diff --git a/tests/core/history_helpers.py b/tests/core/history_helpers.py
new file mode 100644
index 0000000..bcb1371
--- /dev/null
+++ b/tests/core/history_helpers.py
@@ -0,0 +1,173 @@
+"""Collect public SDK output and compare conversation history without Molto translation."""
+
+from __future__ import annotations
+
+from copy import deepcopy
+from typing import TYPE_CHECKING, Any
+
+from anthropic.lib.streaming._messages import accumulate_event
+from openai.lib.streaming.chat import ChatCompletionStreamState
+from pydantic import BaseModel
+
+if TYPE_CHECKING:
+    from molto.providers import Endpoint as Protocol
+
+
+def _collect_response(events: list[BaseModel], protocol: Protocol) -> BaseModel:
+    """Accumulate downstream output using SDK behavior independently of Molto collectors."""
+    if protocol == "chat/completions":
+        state = ChatCompletionStreamState()
+        for event in events:
+            state.handle_chunk(event)
+        return state.get_final_completion()
+    if protocol == "messages":
+        message = None
+        for event in events:
+            message = accumulate_event(event=event, current_snapshot=message)
+        assert message is not None and events[-1].type == "message_stop"
+        return message
+    terminal = [
+        event.response
+        for event in events
+        if event.type in {"response.completed", "response.incomplete"}
+    ]
+    assert len(terminal) == 1
+    return terminal[0]
+
+
+def _response_history(response: BaseModel, protocol: Protocol) -> list[dict[str, Any]]:
+    """Convert a public response into request history, removing SDK-only bookkeeping."""
+    if protocol == "responses":
+        return [item.model_dump(exclude_none=True) for item in response.output]
+    if protocol == "chat/completions":
+        assert len(response.choices) == 1
+        message = response.choices[0].message.model_dump(
+            exclude_none=True, exclude={"tool_calls": {"__all__": {"index"}}}
+        )
+        # Chat annotations are output-only; an empty list carries no history state.
+        # Keep populated annotations so unsupported history fails instead of losing data.
+        if message.get("annotations") == []:
+            message.pop("annotations")
+        return [message]
+    return [
+        {
+            "role": response.role,
+            "content": [
+                # The SDK stores its incremental JSON parser buffer on tool blocks.
+                block.model_dump(exclude_none=True, exclude={"__json_buf", "parsed_output"})
+                for block in response.content
+            ],
+        }
+    ]
+
+
+def _assert_history_matches(
+    actual: list[dict[str, Any]],
+    expected: list[dict[str, Any]],
+    protocol: Protocol,
+    *,
+    translated: bool = False,
+) -> None:
+    """Compare copies using only protocol representation and unavailable metadata allowances."""
+    actual, expected = deepcopy(actual), deepcopy(expected)
+    assert len(actual) == len(expected)
+    for left, right in zip(actual, expected, strict=True):
+        if protocol == "responses":
+            for item in (left, right):
+                if item.get("role") == "assistant":
+                    item.setdefault("type", "message")
+                    if isinstance(item.get("content"), str):
+                        item["content"] = [{"type": "output_text", "text": item["content"]}]
+                for part in item.get("content") or []:
+                    if isinstance(part, dict) and part.get("type") == "output_text":
+                        for field in ("annotations", "logprobs"):
+                            if part.get(field) == []:
+                                part.pop(field)
+                if item.get("type") == "reasoning" and item.get("content") == []:
+                    item.pop("content")
+            output_items = all(
+                item.get("type") in {"reasoning", "function_call"}
+                or (item.get("type") == "message" and item.get("role") == "assistant")
+                for item in (left, right)
+            )
+            # Only output-item IDs may be generated at a translated protocol boundary.
+            if output_items and (translated or "id" not in left or "id" not in right):
+                left.pop("id", None)
+                right.pop("id", None)
+            # Phase has no Chat/Messages equivalent, but populated values must still agree.
+            if output_items and ("phase" not in left or "phase" not in right):
+                left.pop("phase", None)
+                right.pop("phase", None)
+            if "status" not in left or "status" not in right:
+                for item in (left, right):
+                    if item.get("status") == "completed":
+                        item.pop("status")
+        elif protocol == "chat/completions":
+            for item in (left, right):
+                if "reasoning" in item and "reasoning_content" not in item:
+                    item["reasoning_content"] = item.pop("reasoning")
+                if item.get("tool_calls") and item.get("content") in (None, ""):
+                    item.pop("content", None)
+                if item.get("tool_calls") == []:
+                    item.pop("tool_calls")
+        else:
+            for item in (left, right):
+                if isinstance(item.get("content"), str):
+                    item["content"] = [{"type": "text", "text": item["content"]}]
+                for block in item.get("content") or []:
+                    if block.get("type") == "tool_use" and block.get("caller") == {
+                        "type": "direct"
+                    }:
+                        block.pop("caller")
+                    if block.get("type") == "thinking" and block.get("signature") == "":
+                        block.pop("signature")
+        assert left == right
+
+
+def _continue_history(
+    history: list[dict[str, Any]],
+    output_history: list[dict[str, Any]],
+    next_recorded_history: list[dict[str, Any]],
+    protocol: Protocol,
+    *,
+    translated: bool = False,
+) -> list[dict[str, Any]]:
+    """Retain actual output and append only new caller inputs after checking the next YAML."""
+    retained = [*history, *output_history]
+    _assert_history_matches(
+        retained,
+        next_recorded_history[: len(retained)],
+        protocol,
+        translated=translated,
+    )
+    continuation = deepcopy(next_recorded_history[len(retained) :])
+    assert continuation, "The next conversation turn must contain new caller input."
+    if protocol == "responses":
+        assert all(
+            item.get("type") == "function_call_output" or item.get("role") == "user"
+            for item in continuation
+        )
+        calls = [item["call_id"] for item in output_history if item["type"] == "function_call"]
+        results = [
+            item["call_id"] for item in continuation if item.get("type") == "function_call_output"
+        ]
+    elif protocol == "chat/completions":
+        assert all(item["role"] in {"tool", "user"} for item in continuation)
+        calls = [call["id"] for item in output_history for call in item.get("tool_calls", [])]
+        results = [item["tool_call_id"] for item in continuation if item["role"] == "tool"]
+    else:
+        assert all(item["role"] == "user" for item in continuation)
+        calls = [
+            block["id"]
+            for item in output_history
+            for block in item["content"]
+            if block["type"] == "tool_use"
+        ]
+        results = [
+            block["tool_use_id"]
+            for item in continuation
+            for block in item["content"]
+            if isinstance(block, dict) and block["type"] == "tool_result"
+        ]
+    assert results == calls
+    return [*retained, *continuation]
diff --git a/tests/core/test_history_helpers.py b/tests/core/test_history_helpers.py
new file mode 100644
index 0000000..a205896
--- /dev/null
+++ b/tests/core/test_history_helpers.py
@@ -0,0 +1,248 @@
+from copy import deepcopy
+from typing import Any
+
+import pytest
+from openai.types.chat import ChatCompletion
+
+from tests.core.history_helpers import (
+    _assert_history_matches,
+    _continue_history,
+    _response_history,
+)
+from tests.core.test_interface import PROTOCOLS, Protocol
+
+
+def test_chat_empty_calls_match_omission_without_mutating_history():
+    """Ensures Together's empty call list stays in submitted history while matching omitted calls."""
+    actual = [{"role": "assistant", "content": "Hello", "tool_calls": []}]
+    expected = [{"role": "assistant", "content": "Hello"}]
+    _assert_history_matches(actual, expected, "chat/completions")
+    assert actual == [{**expected[0], "tool_calls": []}]
+
+
+def _assistant_history(protocol: Protocol) -> list[dict[str, Any]]:
+    if protocol == "responses":
+        return [
+            {
+                "type": "reasoning",
+                "content": [{"type": "reasoning_text", "text": "Thinking."}],
+                "summary": [],
+                "encrypted_content": "opaque-signature",
+            },
+            {
+                "type": "message",
+                "role": "assistant",
+                "content": [
+                    {"type": "output_text", "text": "First."},
+                    {"type": "output_text", "text": "Second."},
+                ],
+            },
+            *[
+                {"type": "function_call", "call_id": call_id, "name": "lookup", "arguments": "{}"}
+                for call_id in ("call_a", "call_b")
+            ],
+        ]
+    if protocol == "chat/completions":
+        return [
+            {
+                "role": "assistant",
+                "reasoning_content": "Thinking.",
+                "content": "First. Second.",
+                "tool_calls": [
+                    {
+                        "type": "function",
+                        "id": call_id,
+                        "function": {"name": "lookup", "arguments": "{}"},
+                    }
+                    for call_id in ("call_a", "call_b")
+                ],
+            }
+        ]
+    return [
+        {
+            "role": "assistant",
+            "content": [
+                {"type": "thinking", "thinking": "Thinking.", "signature": "opaque-signature"},
+                {"type": "text", "text": "First."},
+                {"type": "text", "text": "Second."},
+                *[
+                    {"type": "tool_use", "id": call_id, "name": "lookup", "input": {}}
+                    for call_id in ("call_a", "call_b")
+                ],
+            ],
+        }
+    ]
+
+
+@pytest.mark.parametrize(
+    ("protocol", "path", "replacement"),
+    [
+        ("responses", (0, "content", 0, "text"), "Changed thinking."),
+        ("responses", (0, "encrypted_content"), "changed-signature"),
+        ("responses", (1, "content", 0, "text"), "Changed text."),
+        ("responses", (1, "content", 0, "text"), "First. "),
+        ("responses", (1, "content"), [{"type": "output_text", "text": "First.Second."}]),
+        ("responses", (2, "call_id"), "different-call"),
+        ("responses", (2, "name"), "different-tool"),
+        ("responses", (2, "arguments"), '{"changed":true}'),
+        ("chat/completions", (0, "reasoning_content"), "Changed thinking."),
+        ("chat/completions", (0, "content"), "Changed text."),
+        ("chat/completions", (0, "content"), "First. Second. "),
+        ("chat/completions", (0, "tool_calls"), []),
+        ("chat/completions", (0, "tool_calls", 0, "id"), "different-call"),
+        ("chat/completions", (0, "tool_calls", 0, "function", "name"), "different-tool"),
+        ("chat/completions", (0, "tool_calls", 0, "function", "arguments"), '{"changed":true}'),
+        ("messages", (0, "content", 0, "thinking"), "Changed thinking."),
+        ("messages", (0, "content", 0, "signature"), "changed-signature"),
+        ("messages", (0, "content", 1, "text"), "Changed text."),
+        ("messages", (0, "content", 1, "text"), "First. "),
+        ("messages", (0, "content", 3, "id"), "different-call"),
+        ("messages", (0, "content", 3, "name"), "different-tool"),
+        ("messages", (0, "content", 3, "input"), {"changed": True}),
+    ],
+)
+def test_history_comparison_rejects_changed_semantics(
+    protocol: Protocol, path: tuple[str | int, ...], replacement: Any
+):
+    """Ensures metadata allowances never hide text, reasoning, calls, signatures, or part loss."""
+    expected = _assistant_history(protocol)
+    actual = deepcopy(expected)
+    target = actual
+    for field in path[:-1]:
+        target = target[field]
+    target[path[-1]] = replacement
+    with pytest.raises(AssertionError):
+        _assert_history_matches(actual, expected, protocol, translated=True)
+
+
+@pytest.mark.parametrize("protocol", PROTOCOLS)
+def test_history_comparison_preserves_call_order(protocol: Protocol):
+    """Ensures parallel calls cannot change order while matching next-turn history."""
+    expected = _assistant_history(protocol)
+    actual = deepcopy(expected)
+    if protocol == "responses":
+        actual[2:] = reversed(actual[2:])
+    elif protocol == "chat/completions":
+        actual[0]["tool_calls"].reverse()
+    else:
+        actual[0]["content"][3:] = reversed(actual[0]["content"][3:])
+    with pytest.raises(AssertionError):
+        _assert_history_matches(actual, expected, protocol, translated=True)
+
+
+@pytest.mark.parametrize(
+    ("role", "field", "translated"),
+    [("user", "id", True), ("assistant", "id", False), ("assistant", "phase", True)],
+)
+def test_history_comparison_preserves_available_metadata(role: str, field: str, translated: bool):
+    """Ensures only unavailable output IDs and omitted phase receive metadata allowances."""
+    expected = [{"type": "message", "role": role, "content": [], field: "recorded"}]
+    actual = [{**expected[0], field: "changed"}]
+    with pytest.raises(AssertionError):
+        _assert_history_matches(actual, expected, "responses", translated=translated)
+
+
+@pytest.mark.parametrize("protocol", PROTOCOLS)
+@pytest.mark.parametrize("corruption", ["wrong_id", "missing_result", "reordered", "assistant"])
+def test_continuation_rejects_invalid_new_input(protocol: Protocol, corruption: str):
+    """Ensures continuation cannot replace actual output or lose ordered tool-result linkage."""
+    output = _assistant_history(protocol)
+    if protocol == "responses":
+        results = [
+            {"type": "function_call_output", "call_id": call_id, "output": "done"}
+            for call_id in ("call_a", "call_b")
+        ]
+        id_field = "call_id"
+    elif protocol == "chat/completions":
+        results = [
+            {"role": "tool", "tool_call_id": call_id, "content": "done"}
+            for call_id in ("call_a", "call_b")
+        ]
+        id_field = "tool_call_id"
+    else:
+        results = [
+            {"type": "tool_result", "tool_use_id": call_id, "content": "done"}
+            for call_id in ("call_a", "call_b")
+        ]
+        id_field = "tool_use_id"
+    if corruption == "wrong_id":
+        results[0][id_field] = "different-call"
+    elif corruption == "missing_result":
+        results.pop()
+    elif corruption == "reordered":
+        results.reverse()
+    continuation = [{"role": "user", "content": results}] if protocol == "messages" else results
+    if corruption == "assistant":
+        continuation.append({"role": "assistant", "content": "Substituted output."})
+    with pytest.raises(AssertionError):
+        _continue_history([], output, [*deepcopy(output), *continuation], protocol)
+
+
+@pytest.mark.parametrize("protocol", PROTOCOLS)
+def test_history_comparison_keeps_actual_output_unchanged(protocol: Protocol):
+    """Ensures allowed comparison differences never rewrite the actual submitted history."""
+    if protocol == "responses":
+        actual = [{"type": "message", "role": "assistant", "content": "First.", "id": "generated"}]
+        expected = [{"role": "assistant", "content": "First.", "id": "recorded"}]
+    elif protocol == "chat/completions":
+        actual = [{"role": "assistant", "reasoning_content": "Thinking."}]
+        expected = [{"role": "assistant", "reasoning": "Thinking."}]
+    else:
+        actual = [
+            {
+                "role": "assistant",
+                "content": [{"type": "thinking", "thinking": "Thinking.", "signature": ""}],
+            }
+        ]
+        expected = [
+            {"role": "assistant", "content": [{"type": "thinking", "thinking": "Thinking."}]}
+        ]
+    original_actual, original_expected = deepcopy(actual), deepcopy(expected)
+    _assert_history_matches(actual, expected, protocol, translated=True)
+    assert actual == original_actual
+    assert expected == original_expected
+
+
+@pytest.mark.parametrize("populated", [False, True])
+def test_chat_history_omits_only_empty_output_annotations(populated: bool):
+    """Ensures empty SDK annotations are omitted while populated output cannot silently disappear."""
+    annotations = (
+        [
+            {
+                "type": "url_citation",
+                "url_citation": {
+                    "start_index": 0,
+                    "end_index": 1,
+                    "title": "Source",
+                    "url": "https://example.org",
+                },
+            }
+        ]
+        if populated
+        else []
+    )
+    response = ChatCompletion.model_validate(
+        {
+            "id": "completion",
+            "object": "chat.completion",
+            "model": "test-model",
+            "created": 0,
+            "choices": [
+                {
+                    "index": 0,
+                    "finish_reason": "stop",
+                    "message": {
+                        "role": "assistant",
+                        "content": "Text.",
+                        "annotations": annotations,
+                    },
+                }
+            ],
+        }
+    )
+    history = _response_history(response, "chat/completions")
+    expected = {"role": "assistant", "content": "Text."}
+    if populated:
+        expected["annotations"] = annotations
+    assert history == [expected]
+    assert response.choices[0].message.model_dump()["annotations"] == annotations
diff --git a/tests/core/test_provider_history_routes.py b/tests/core/test_provider_history_routes.py
new file mode 100644
index 0000000..7a4a047
--- /dev/null
+++ b/tests/core/test_provider_history_routes.py
@@ -0,0 +1,353 @@
+"""Native history transport tests using explicit synthetic Google extension payloads."""
+
+from copy import deepcopy
+
+import httpx
+import pytest
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+
+from molto import Molto
+from molto.utils.io import dumps_sse, json_loads
+
+
+def _history(message):
+    """Remove only SDK parser and stream bookkeeping from actual collected output."""
+    history = message.model_dump(
+        exclude_unset=True,
+        exclude={
+            "parsed": True,
+            "tool_calls": {"__all__": {"index": True, "function": {"parsed_arguments": True}}},
+        },
+    )
+    for field in ("annotations", "audio", "function_call", "refusal"):
+        if history.get(field) is None:
+            history.pop(field, None)
+    return history
+
+
+async def _consume(result, stream):
+    if not stream:
+        return result.choices[0].message, [result.model_dump()]
+    state = ChatCompletionStreamState()
+    events = []
+    async for event in result:
+        events.append(event.model_dump())
+        state.handle_chunk(event)
+    return state.get_final_completion().choices[0].message, events
+
+
+@pytest.mark.parametrize("stream", [False, True])
+async def test_google_native_sdk_history_round_trip(stream):
+    """Ensures all Google attachments survive native SDK parity and exact next-turn transport."""
+
+    def google(state):
+        return {"google": {"thought_signature": state}}
+
+    calls = [
+        {
+            "id": f"call_{i}",
+            "type": "function",
+            "function": {"name": "lookup", "arguments": f'{{"n":{i}}}'},
+            "extra_content": google(f"call-{i}"),
+        }
+        for i in range(2)
+    ]
+    assistant = {
+        "role": "assistant",
+        "content": None,
+        "tool_calls": calls,
+        "extra_content": google(" message\n"),
+    }
+    chunks = []
+    for i, call in enumerate(calls):
+        first = deepcopy(call)
+        first["index"] = i
+        first["function"]["arguments"] = '{"n":'
+        delta = {"tool_calls": [first]}
+        if i == 0:
+            delta.update(role="assistant", content=None, extra_content=assistant["extra_content"])
+        chunks.append(delta)
+        chunks.append({"tool_calls": [{"index": i, "function": {"arguments": f"{i}}}"}}]})
+    chunk_base = {
+        "id": "chatcmpl_1",
+        "created": 1,
+        "model": "model",
+        "object": "chat.completion.chunk",
+    }
+    sse = "".join(
+        dumps_sse({**chunk_base, "choices": [{"index": 0, "delta": delta, "finish_reason": None}]})
+        for delta in chunks
+    )
+    sse += dumps_sse(
+        {**chunk_base, "choices": [{"index": 0, "delta": {}, "finish_reason": "tool_calls"}]}
+    )
+    sse += "data: [DONE]\n\n"
+    response = {
+        "id": "chatcmpl_1",
+        "created": 1,
+        "model": "model",
+        "object": "chat.completion",
+        "choices": [{"index": 0, "message": assistant, "finish_reason": "tool_calls"}],
+    }
+    user = {
+        "role": "user",
+        "content": [
+            {"type": "text", "text": "First", "extra_content": google("part-1")},
+            {"type": "text", "text": "Second", "extra_content": google("part-2")},
+        ],
+        "extra_content": google("user"),
+    }
+    results = [
+        {
+            "role": "tool",
+            "tool_call_id": call["id"],
+            "content": f"file-{i}",
+            "extra_content": {
+                "google": {
+                    "parts": [
+                        {
+                            "file_data": {
+                                "mime_type": "application/pdf",
+                                "display_name": f"file-{i}",
+                                "file_uri": f"gs://example/file-{i}.pdf",
+                            }
+                        }
+                    ]
+                }
+            },
+        }
+        for i, call in enumerate(calls)
+    ]
+    extra_body = {
+        "ordinary_extra": True,
+        "extra_body": {"google": {"thinking_config": {"include_thoughts": True}}},
+    }
+    requests = []
+
+    def handler(request):
+        requests.append(json_loads(request.content))
+        assert str(request.url) == "https://example.test/v1/chat/completions"
+        assert request.headers["authorization"] == "Bearer test-key"
+        if stream:
+            return httpx.Response(200, text=sse, headers={"content-type": "text/event-stream"})
+        return httpx.Response(200, json=response)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as sdk_http:
+        sdk = AsyncOpenAI(
+            api_key="test-key",
+            base_url="https://example.test/v1",
+            http_client=sdk_http,
+            max_retries=0,
+        )
+        sdk_message, sdk_events = await _consume(
+            await sdk.chat.completions.create(
+                model="model", messages=[user], stream=stream, extra_body=extra_body
+            ),
+            stream,
+        )
+    assert _history(sdk_message) == assistant
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        actual_message, actual_events = await _consume(
+            await molto.chat_completions(
+                {"model": "model", "messages": [user], "stream": stream},
+                api_key="test-key",
+                base_url="https://example.test/v1",
+                extra_body=extra_body,
+            ),
+            stream,
+        )
+        assert actual_events == sdk_events
+        assert _history(actual_message) == assistant
+        await _consume(
+            await molto.chat_completions(
+                {
+                    "model": "model",
+                    "messages": [user, _history(actual_message), *results],
+                    "stream": stream,
+                },
+                api_key="test-key",
+                base_url="https://example.test/v1",
+                extra_body=extra_body,
+            ),
+            stream,
+        )
+    expected = {"model": "model", "messages": [user], "stream": stream, **extra_body}
+    assert requests[:2] == [expected, expected]
+    assert requests[2] == {**expected, "messages": [user, assistant, *results]}
+
+
+@pytest.mark.parametrize("turn", [1, 2])
+async def test_recorded_native_tool_history_matches_sdk(turn):
+    """Ensures eagerly validated call history retains recorded request bytes and SDK events."""
+    from pathlib import Path
+
+    from molto.utils.io import read_yaml
+
+    cassette = read_yaml(
+        Path(__file__).parents[1]
+        / "cassettes"
+        / "upstream_ir"
+        / "tool_use"
+        / f"openai-chat_completions-stream-{turn:02d}.yaml"
+    )
+    body = cassette["request"]["body"]
+    requests = []
+
+    def handler(request):
+        requests.append(json_loads(request.content))
+        assert request.url.path == cassette["request"]["path"]
+        return httpx.Response(
+            cassette["response"]["status_code"],
+            text="".join(cassette["response"]["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as sdk_http:
+        sdk = AsyncOpenAI(api_key="test-key", http_client=sdk_http, max_retries=0)
+        expected_message, expected_events = await _consume(
+            await sdk.chat.completions.create(**body), True
+        )
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        actual_message, actual_events = await _consume(
+            await molto.chat_completions(body, api_key="test-key"), True
+        )
+    assert requests == [body, body]
+    assert actual_events == expected_events
+    assert _history(actual_message) == _history(expected_message)
+
+
+@pytest.mark.parametrize("stream", [False, True])
+async def test_openrouter_native_reasoning_format_history(stream):
+    """Ensures native Responses output carries exact format into the following SDK request."""
+    item = {
+        "id": "rs_1",
+        "type": "reasoning",
+        "summary": [],
+        "content": [{"type": "reasoning_text", "text": " Think\n"}],
+        "status": "completed",
+        "format": "unknown",
+    }
+    response = {
+        "id": "resp_1",
+        "object": "response",
+        "created_at": 1,
+        "model": "model",
+        "status": "completed",
+        "output": [item],
+    }
+    event = {"type": "response.completed", "sequence_number": 0, "response": response}
+    requests = []
+
+    def handler(request):
+        requests.append(json_loads(request.content))
+        if stream:
+            return httpx.Response(
+                200, text=dumps_sse(event), headers={"content-type": "text/event-stream"}
+            )
+        return httpx.Response(200, json=response)
+
+    async def collect(result):
+        if stream:
+            events = [event async for event in result]
+            return events[-1].response, [event.model_dump() for event in events]
+        return result, [result.model_dump()]
+
+    body = {"model": "model", "input": "Think", "stream": stream}
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as sdk_http:
+        sdk = AsyncOpenAI(api_key="test-key", http_client=sdk_http, max_retries=0)
+        expected, expected_events = await collect(await sdk.responses.create(**body))
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        actual, actual_events = await collect(await molto.responses(body, api_key="test-key"))
+        assert actual_events == expected_events
+        history = [item.model_dump(exclude_unset=True) for item in actual.output]
+        assert history == [item]
+        await collect(await molto.responses({**body, "input": history}, api_key="test-key"))
+    assert requests == [body, body, {**body, "input": [item]}]
+
+
+@pytest.mark.parametrize("endpoint", ["chat/completions", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_reasoning_format_cannot_be_silently_translated(endpoint, stream):
+    """Ensures opaque provider reasoning format is rejected before translated transport."""
+    from molto.types.exceptions import UnsupportedInput
+
+    def handler(request):
+        raise AssertionError("Unsupported history must fail before transport")
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        with pytest.raises(UnsupportedInput, match="format"):
+            await molto.responses(
+                {
+                    "model": "model",
+                    "stream": stream,
+                    "input": [
+                        {
+                            "type": "reasoning",
+                            "summary": [],
+                            "content": [{"type": "reasoning_text", "text": "Think"}],
+                            "format": "unknown",
+                        }
+                    ],
+                },
+                endpoint=endpoint,
+                provider="vllm",
+                api_key="test-key",
+            )
+
+
+@pytest.mark.parametrize("coordinator", ["chat_completions", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_reasoning_format_output_rejects_unsupported_translation(coordinator, stream):
+    """Ensures source reasoning format cannot disappear when projecting provider output."""
+    event = {
+        "type": "response.output_item.added",
+        "sequence_number": 0,
+        "output_index": 0,
+        "item": {
+            "id": "rs_1",
+            "type": "reasoning",
+            "summary": [],
+            "content": [{"type": "reasoning_text", "text": "Think"}],
+            "format": "unknown",
+        },
+    }
+    created = {
+        "type": "response.created",
+        "sequence_number": 0,
+        "response": {
+            "id": "resp_1",
+            "created_at": 1,
+            "model": "model",
+            "status": "in_progress",
+            "output": [],
+        },
+    }
+
+    def handler(request):
+        return httpx.Response(
+            200,
+            text=dumps_sse(created) + dumps_sse(event),
+            headers={"content-type": "text/event-stream"},
+        )
+
+    body = {"model": "model", "messages": [{"role": "user", "content": "Think"}], "stream": stream}
+    if coordinator == "messages":
+        body["max_tokens"] = 32
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        with pytest.raises(ValueError, match="format"):
+            result = await getattr(molto, coordinator)(
+                body, endpoint="responses", provider="vllm", api_key="test-key"
+            )
+            if stream:
+                [event async for event in result]
diff --git a/tests/core/test_recorded_provider_conversations.py b/tests/core/test_recorded_provider_conversations.py
new file mode 100644
index 0000000..fdb0ed2
--- /dev/null
+++ b/tests/core/test_recorded_provider_conversations.py
@@ -0,0 +1,197 @@
+"""Replay original provider conversations without regenerating expected history."""
+
+import json
+from copy import deepcopy
+from pathlib import Path
+
+import httpx
+import pytest
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+from pydantic import ValidationError
+
+from molto import Molto
+from molto.utils.io import json_loads, read_yaml
+from scripts.record_provider_conversation import (
+    accumulation_chunk,
+    assistant_history,
+    verify_accumulation,
+)
+
+ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-03"
+GROUPS = [
+    path.parent
+    for path in sorted(ROOT.glob("*/manifest.json"))
+    if json.loads(path.read_text())["status"] == "complete"
+]
+
+
+# These are recorded limitations, not accepted native continuation cases. Keep
+# the full SDK-produced history unchanged so the local rejection stays visible.
+REJECTED_HISTORY = {
+    "together-qwen-text-nonstream": {"reasoning_content": "string_type"},
+    "together-qwen-text-stream": {
+        "reasoning_content": "string_type",
+        "tool_calls": "list_type",
+        "annotations": "extra_forbidden",
+    },
+    "together-qwen-tools-stream": {"annotations": "extra_forbidden"},
+}
+
+
+async def collect(result, stream):
+    if not stream:
+        return result, result.model_dump()
+    state = ChatCompletionStreamState()
+    events = []
+    roles = {}
+    async with result:
+        async for event in result:
+            events.append(event.model_dump())
+            state.handle_chunk(accumulation_chunk(event, roles))
+    completion = state.get_final_completion()
+    verify_accumulation(events, assistant_history(completion.choices[0].message))
+    return completion, events
+
+
+async def replay_conversation(group, rejected_history=None):
+    """Replay every SDK turn and assert Molto parity up to an explicit history boundary."""
+    manifest = json.loads((group / "manifest.json").read_text())
+    recordings = [read_yaml(group / turn["files"][0]) for turn in manifest["turns"]]
+    stream = manifest["stream"]
+    messages = deepcopy(recordings[0]["request"]["body"]["messages"])
+    calls = 0
+    rejected = False
+    for turn, recording in enumerate(recordings):
+        expected_body = recording["request"]["body"]
+        assert messages == expected_body["messages"]
+        body = {**deepcopy(expected_body), "messages": deepcopy(messages)}
+        extra_body = manifest["extra_body"]
+        for key in extra_body or {}:
+            body.pop(key)
+
+        def handler(request, expected_body=expected_body, recording=recording):
+            nonlocal calls
+            calls += 1
+            assert str(request.url) == manifest["upstream_url"]
+            assert json_loads(request.content) == expected_body
+            assert request.headers["authorization"] == "Bearer replay-key"
+            recorded = recording["response"]
+            if "sse" in recorded:
+                return httpx.Response(
+                    recorded["status_code"],
+                    content="".join(recorded["sse"]),
+                    headers={"content-type": "text/event-stream"},
+                )
+            return httpx.Response(
+                recorded["status_code"],
+                content=recorded["body_bytes"],
+                headers={"content-type": "application/json"},
+            )
+
+        async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+            sdk = AsyncOpenAI(
+                api_key="replay-key",
+                base_url=manifest["upstream_url"].removesuffix("/chat/completions"),
+                http_client=transport,
+                max_retries=0,
+            )
+            reference, expected_output = await collect(
+                await sdk.chat.completions.create(**body, extra_body=extra_body), stream
+            )
+        if rejected_history and turn == 1:
+            before = calls
+            async with Molto(
+                http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+            ) as molto:
+                with pytest.raises(ValidationError) as error:
+                    await molto.chat_completions(
+                        body,
+                        provider=manifest["provider"],
+                        api_key="replay-key",
+                        extra_body=extra_body,
+                    )
+            assert calls == before
+            assistant_errors = {
+                failure["loc"][-1]: failure["type"]
+                for failure in error.value.errors()
+                if failure["loc"][:3]
+                == ("messages", 1, "ChatCompletionAssistantMessageWithReasoningParam")
+            }
+            assert assistant_errors == rejected_history
+            for field in rejected_history:
+                assert messages[1][field] is None
+            rejected = True
+        if not rejected:
+            async with Molto(
+                http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+            ) as molto:
+                actual, actual_output = await collect(
+                    await molto.chat_completions(
+                        body,
+                        provider=manifest["provider"],
+                        api_key="replay-key",
+                        extra_body=extra_body,
+                    ),
+                    stream,
+                )
+            assert actual_output == expected_output
+            assert actual.model_dump() == reference.model_dump()
+            history = assistant_history(actual.choices[0].message)
+        else:
+            # Molto has rejected continuation. Only the independent SDK continues
+            # replaying the remaining recorded turns, using its actual output.
+            history = assistant_history(reference.choices[0].message)
+        messages.append(history)
+        if turn + 1 < len(recordings):
+            next_messages = recordings[turn + 1]["request"]["body"]["messages"]
+            # Compare actual output before appending only recorded new user/tool input.
+            assert messages == next_messages[: len(messages)]
+            suffix = next_messages[len(messages) :]
+            assert suffix and all(message["role"] in ("user", "tool") for message in suffix)
+            messages.extend(deepcopy(suffix))
+    assert rejected == bool(rejected_history)
+    assert calls == (len(recordings) + 1 if rejected else len(recordings) * 2)
+
+
+@pytest.mark.parametrize(
+    "group",
+    [path for path in GROUPS if path.name not in REJECTED_HISTORY],
+    ids=lambda path: path.name,
+)
+async def test_recorded_native_conversation_uses_actual_output_as_history(group):
+    """Ensures supported complete runs preserve exact SDK results and actual next-turn history."""
+    await replay_conversation(group)
+
+
+@pytest.mark.parametrize(
+    "group", [path for path in GROUPS if path.name in REJECTED_HISTORY], ids=lambda path: path.name
+)
+async def test_recorded_history_has_explicit_native_rejection(group):
+    """Ensures recorded incompatible SDK history rejects locally while independent SDK replay succeeds."""
+    await replay_conversation(group, rejected_history=REJECTED_HISTORY[group.name])
+
+
+@pytest.mark.parametrize("downstream", ["responses", "chat_completions", "messages"])
+async def test_together_alternative_endpoint_requires_explicit_destination(downstream):
+    """Ensures a Together key cannot be sent to a canonical service by an unsupported default route."""
+    body = (
+        {"model": "example", "input": "Hi"}
+        if downstream == "responses"
+        else {
+            "model": "example",
+            "messages": [{"role": "user", "content": "Hi"}],
+            "max_tokens": 20,
+        }
+    )
+    async with Molto(
+        http_client=httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _: pytest.fail("Unconfigured Together endpoint reached HTTP")
+            )
+        )
+    ) as molto:
+        with pytest.raises(ValueError, match="explicit base_url"):
+            await getattr(molto, downstream)(
+                body, provider="togetherai", endpoint="responses", api_key="provider-key"
+            )
diff --git a/tests/core/test_together_conversations.py b/tests/core/test_together_conversations.py
new file mode 100644
index 0000000..1a7f529
--- /dev/null
+++ b/tests/core/test_together_conversations.py
@@ -0,0 +1,335 @@
+"""Historical PR #76 matched conversations; these are not fresh live provider claims."""
+
+from copy import deepcopy
+from itertools import product
+from pathlib import Path
+
+import httpx
+import pytest
+from anthropic import AsyncAnthropic
+from openai import AsyncOpenAI
+
+from molto import Molto
+from molto.utils.io import dumps_sse, json_loads, read_yaml
+from molto.utils.test import (
+    assert_chat_completions_chunks_match,
+    reconstructable_anthropic_event,
+    reconstructable_chat_completions_chunks,
+    reconstructable_responses_event,
+)
+from tests.core.history_helpers import (
+    _assert_history_matches,
+    _collect_response,
+    _continue_history,
+    _response_history,
+)
+from tests.core.test_interface import (
+    _assert_responses_stream_invariants,
+    _reconstructable_tool_responses_event,
+    _without_irrelevant_parallel_tool_calls,
+)
+
+ROOT = Path(__file__).parents[1] / "cassettes" / "reference_pr76"
+SCENARIOS = (
+    "simple_text",
+    "reasoning_raw",
+    "input_image_base64",
+    "input_image_remote_url",
+    "tool_call",
+    "tool_call_choice",
+    "tool_call_parallel",
+)
+
+
+def _endpoint(path):
+    provider, _, suffix = path.name.partition("-")
+    protocol = suffix.split("-", 1)[0].replace("chat_completions", "chat/completions")
+    return protocol, provider
+
+
+def _paths(scenario, endpoint, mode):
+    protocol, provider = endpoint
+    return sorted((ROOT / scenario).glob(f"{provider}-{protocol.replace('/', '_')}-{mode}-*.yaml"))
+
+
+def _cases():
+    cases = []
+    for scenario in SCENARIOS:
+        endpoints = [
+            _endpoint(path) for path in sorted((ROOT / scenario).glob("*-stream-00.yaml"))
+        ]
+        for downstream, upstream in product(endpoints, repeat=2):
+            if "togetherai" not in (downstream[1], upstream[1]):
+                continue
+            for stream in (True, False):
+                translated = downstream[0] != upstream[0]
+                mode = "stream" if stream or translated else "non_stream"
+                if not _paths(scenario, downstream, mode) or not _paths(scenario, upstream, mode):
+                    assert mode == "non_stream", "Missing streaming counterpart"
+                    continue
+                cases.append(
+                    pytest.param(
+                        scenario,
+                        downstream,
+                        upstream,
+                        stream,
+                        id=f"{scenario}-{downstream}-{upstream}-{stream}",
+                    )
+                )
+    return cases
+
+
+def _sdk_body(body):
+    body = deepcopy(body)
+    extras = (
+        {"reasoning": body.pop("reasoning")}
+        if "messages" in body and "reasoning" in body
+        else None
+    )
+    return body, extras
+
+
+def _response(cassette):
+    response = cassette["response"]
+    if "sse" in response:
+        return httpx.Response(
+            response["status_code"],
+            text="".join(response["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+    return httpx.Response(response["status_code"], json=response["body"])
+
+
+async def _sdk_result(path, protocol):
+    cassette = read_yaml(path)
+    body, extras = _sdk_body(cassette["request"]["body"])
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _response(cassette))
+    ) as transport:
+        sdk = (
+            AsyncAnthropic(api_key="test", http_client=transport)
+            if protocol == "messages"
+            else AsyncOpenAI(api_key="test", http_client=transport)
+        )
+        create = (
+            sdk.messages.create
+            if protocol == "messages"
+            else sdk.responses.create
+            if protocol == "responses"
+            else sdk.chat.completions.create
+        )
+        result = await create(**body, extra_body=extras)
+        if not body.get("stream", False):
+            return result, None
+        async with result:
+            events = [event async for event in result]
+        return _collect_response(events, protocol), events
+
+
+def _semantics(response, protocol):
+    """Extract independently observable content, calls, usage, and termination for comparison."""
+    if protocol == "responses":
+        text = response.output_text
+        calls = [
+            (item.call_id, item.name, json_loads(item.arguments))
+            for item in response.output
+            if item.type == "function_call"
+        ]
+        reasoning = [
+            (
+                "".join(part.text for part in item.content or []),
+                "".join(part.text for part in item.summary),
+                item.encrypted_content,
+            )
+            for item in response.output
+            if item.type == "reasoning"
+        ]
+        usage = (
+            response.usage.input_tokens,
+            response.usage.output_tokens,
+            response.usage.total_tokens,
+        )
+        assert response.status == "completed"
+    elif protocol == "chat/completions":
+        message = response.choices[0].message
+        text = message.content or ""
+        calls = [
+            (call.id, call.function.name, json_loads(call.function.arguments))
+            for call in message.tool_calls or []
+        ]
+        raw = getattr(message, "reasoning", None) or getattr(message, "reasoning_content", None)
+        reasoning = [(raw, "", None)] if raw else []
+        usage = (
+            response.usage.prompt_tokens,
+            response.usage.completion_tokens,
+            response.usage.total_tokens,
+        )
+        assert response.choices[0].finish_reason == ("tool_calls" if calls else "stop")
+    else:
+        text = "".join(block.text for block in response.content if block.type == "text")
+        calls = [
+            (block.id, block.name, block.input)
+            for block in response.content
+            if block.type == "tool_use"
+        ]
+        reasoning = [
+            (block.thinking, "", block.signature or None)
+            for block in response.content
+            if block.type == "thinking"
+        ]
+        input_tokens = (
+            response.usage.input_tokens
+            + (response.usage.cache_creation_input_tokens or 0)
+            + (response.usage.cache_read_input_tokens or 0)
+        )
+        usage = (
+            input_tokens,
+            response.usage.output_tokens,
+            input_tokens + response.usage.output_tokens,
+        )
+        assert response.stop_reason == ("tool_use" if calls else "end_turn")
+    return response.id, response.model, text, calls, reasoning, usage
+
+
+def _assert_wire_body(actual, expected, protocol, translated):
+    """Compare entire request copies without rewriting any actual continuation history."""
+    actual, expected = deepcopy(actual), deepcopy(expected)
+    key = "input" if protocol == "responses" else "messages"
+    _assert_history_matches(actual.pop(key), expected.pop(key), protocol, translated=translated)
+    if translated:
+        actual = _without_irrelevant_parallel_tool_calls(actual)
+        expected = _without_irrelevant_parallel_tool_calls(expected)
+    assert actual == expected
+
+
+def _assert_translated_events(actual, expected, body, protocol, upstream, scenario):
+    """Assert independently parsed observable deltas and lifecycle, including chunk boundaries."""
+    actual_sse = [dumps_sse(event) for event in actual]
+    expected_sse = [dumps_sse(event) for event in expected]
+    if protocol == "responses":
+        _assert_responses_stream_invariants(actual_sse)
+        actual = [reconstructable_responses_event(event, body) for event in actual_sse]
+        expected = [reconstructable_responses_event(event, body) for event in expected_sse]
+        for event in actual + expected:
+            if upstream == "messages" and isinstance(event.get("response"), dict):
+                event["response"].pop("created_at", None)
+            if scenario.startswith("tool_call"):
+                _reconstructable_tool_responses_event(event)
+        assert actual == expected
+    elif protocol == "chat/completions":
+        actual = [
+            chunk
+            for event in actual_sse
+            for chunk in reconstructable_chat_completions_chunks(event, body)
+        ]
+        expected = [
+            chunk
+            for event in expected_sse
+            for chunk in reconstructable_chat_completions_chunks(event, body)
+        ]
+        if upstream == "messages":
+            for chunk in actual + expected:
+                chunk.pop("created", None)
+        assert_chat_completions_chunks_match(actual, expected)
+    else:
+        assert [reconstructable_anthropic_event(event) for event in actual_sse] == [
+            reconstructable_anthropic_event(event) for event in expected_sse
+        ]
+
+
+@pytest.mark.parametrize(("scenario", "downstream", "upstream", "stream"), _cases())
+async def test_together_matched_conversations(scenario, downstream, upstream, stream):
+    """Ensures actual SDK-compatible outputs become exact next-turn requests across all routes."""
+    protocol, _ = downstream
+    upstream_protocol, provider = upstream
+    translated = protocol != upstream_protocol
+    mode = "stream" if stream or translated else "non_stream"
+    downstream_paths = _paths(scenario, downstream, mode)
+    upstream_paths = _paths(scenario, upstream, mode)
+    canonical_paths = sorted((ROOT / scenario).glob(f"*-responses-{mode}-*.yaml"))
+    assert len(downstream_paths) == len(upstream_paths) == len(canonical_paths)
+    assert len(downstream_paths) >= 2
+    key = "input" if protocol == "responses" else "messages"
+    history = deepcopy(read_yaml(downstream_paths[0])["request"]["body"][key])
+    requests, responses = [], []
+    expected_request = None
+
+    def handler(request):
+        turn = len(requests)
+        requests.append(request)
+        assert request.method == "POST"
+        host = (
+            "api.together.ai"
+            if provider == "togetherai"
+            else "api.anthropic.com"
+            if upstream_protocol == "messages"
+            else "api.openai.com"
+        )
+        assert str(request.url) == f"https://{host}/v1/{upstream_protocol}"
+        assert request.headers[
+            "x-api-key" if upstream_protocol == "messages" else "authorization"
+        ] == ("test" if upstream_protocol == "messages" else "Bearer test")
+        _assert_wire_body(
+            json_loads(request.content), expected_request, upstream_protocol, translated
+        )
+        response = _response(read_yaml(upstream_paths[turn]))
+        responses.append(response)
+        return response
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as client:
+        for turn, path in enumerate(downstream_paths):
+            body, extras = _sdk_body(read_yaml(path)["request"]["body"])
+            body[key] = deepcopy(history)
+            body["stream"] = stream
+            if translated:
+                expected_request = deepcopy(read_yaml(upstream_paths[turn])["request"]["body"])
+                _, extras = _sdk_body(expected_request)
+            else:
+                expected_request = {**body, **(extras or {})}
+            result = await getattr(client, protocol.replace("/", "_"))(
+                body=body,
+                endpoint=upstream_protocol,
+                provider=provider,
+                api_key="test",
+                extra_body=extras,
+            )
+            if stream:
+                async with result:
+                    events = [event async for event in result]
+                result = _collect_response(events, protocol)
+            sdk_result, sdk_events = await _sdk_result(
+                path if translated else upstream_paths[turn], protocol
+            )
+            if translated:
+                if stream:
+                    reference_body, _ = _sdk_body(read_yaml(path)["request"]["body"])
+                    _assert_translated_events(
+                        events, sdk_events, reference_body, protocol, upstream_protocol, scenario
+                    )
+                _assert_history_matches(
+                    _response_history(result, protocol),
+                    _response_history(sdk_result, protocol),
+                    protocol,
+                    translated=True,
+                )
+            elif stream:
+                assert [event.model_dump() for event in events] == [
+                    event.model_dump() for event in sdk_events
+                ]
+            else:
+                assert result.model_dump() == sdk_result.model_dump()
+            canonical, _ = await _sdk_result(canonical_paths[turn], "responses")
+            assert _semantics(result, protocol) == _semantics(canonical, "responses")
+            assert responses[-1].is_closed
+            assert len(requests) == turn + 1
+            if turn + 1 < len(downstream_paths):
+                next_history = read_yaml(downstream_paths[turn + 1])["request"]["body"][key]
+                history = _continue_history(
+                    history,
+                    _response_history(result, protocol),
+                    next_history,
+                    protocol,
+                    translated=translated,
+                )
diff --git a/tests/core/test_together_errors.py b/tests/core/test_together_errors.py
new file mode 100644
index 0000000..ccdb690
--- /dev/null
+++ b/tests/core/test_together_errors.py
@@ -0,0 +1,104 @@
+"""SDK parity for unchanged historical Together error captures from PR #76."""
+
+from copy import deepcopy
+
+import pytest
+from openai import AsyncOpenAI
+from openai import AuthenticationError as SDKAuthenticationError
+from openai import BadRequestError as SDKBadRequestError
+from openai import NotFoundError as SDKNotFoundError
+
+from molto import Molto
+from molto.utils.io import json_loads, read_yaml
+from tests.core.test_exceptions import (
+    CASSETTE_DIR,
+    DOWNSTREAM_ERROR_TYPES,
+    DOWNSTREAM_STATUS_ERROR_TYPES,
+    ERROR_SCENARIOS,
+    PROTOCOLS,
+    _get_http_client,
+    _read_cassette,
+    scenario_ids,
+)
+
+
+@pytest.mark.parametrize("scenario", ERROR_SCENARIOS, ids=scenario_ids(ERROR_SCENARIOS))
+@pytest.mark.parametrize("downstream", PROTOCOLS)
+@pytest.mark.parametrize("stream", [False, True])
+async def test_together_error_cassette_sdk_parity(scenario, downstream, stream):
+    """Ensures all public routes preserve recorded SDK errors and exact executed requests."""
+    mode = "stream" if stream else "non_stream"
+    cassette = read_yaml(
+        CASSETTE_DIR / scenario.name / f"togetherai-chat_completions-{mode}-00.yaml"
+    )
+    status = cassette["response"]["status_code"]
+    sdk_error_type = {
+        400: SDKBadRequestError,
+        401: SDKAuthenticationError,
+        404: SDKNotFoundError,
+    }[status]
+    native_body = deepcopy(cassette["request"]["body"])
+    extra_body = {"reasoning": native_body.pop("reasoning")}
+    sdk_transport, sdk_requests = _get_http_client(cassette)
+    async with sdk_transport:
+        sdk = AsyncOpenAI(
+            http_client=sdk_transport,
+            api_key="test-api-key",
+            base_url="https://api.together.ai/v1",
+            max_retries=0,
+        )
+        with pytest.raises(sdk_error_type) as reference:
+            await sdk.chat.completions.create(**native_body, extra_body=extra_body)
+    assert len(sdk_requests) == 1
+    assert json_loads(sdk_requests[0].content) == cassette["request"]["body"]
+
+    translated = downstream != "chat/completions"
+    body = (
+        deepcopy(_read_cassette(scenario.name, downstream, stream=stream)["request"]["body"])
+        if translated
+        else native_body
+    )
+    expected_body = deepcopy(cassette["request"]["body"])
+    if translated and not stream:
+        expected_body["stream"] = True
+        expected_body.setdefault("stream_options", {})["include_usage"] = True
+        if downstream == "messages":
+            expected_body["stream_options"]["include_obfuscation"] = False
+
+    expected_error_type = DOWNSTREAM_STATUS_ERROR_TYPES[downstream].get(
+        status, DOWNSTREAM_ERROR_TYPES[downstream]
+    )
+    transport, requests = _get_http_client(cassette)
+    async with transport:
+        client = Molto(http_client=transport)
+        coordinator = getattr(client, downstream.replace("/", "_"))
+        with pytest.raises(expected_error_type) as result:
+            await coordinator(
+                body=body,
+                endpoint="chat/completions",
+                provider="togetherai",
+                api_key="test-api-key",
+                extra_body=extra_body,
+            )
+        error = result.value
+        normalized = error.__cause__
+        original = normalized.__cause__
+        assert type(normalized) is scenario.normalized_error
+        assert type(original) is sdk_error_type
+        assert error is not original
+        assert original.__cause__ is None
+        assert error.message == normalized.message == original.message == reference.value.message
+        assert error.body is normalized.body is original.body
+        assert error.body == reference.value.body
+        assert error.response is normalized.response is original.response
+        assert error.response.status_code == status
+        assert error.response.headers == reference.value.response.headers
+        assert error.response.content == reference.value.response.content
+        assert error.response.is_closed
+        assert error.request is normalized.request is original.request is requests[0]
+        assert not transport.is_closed
+    assert len(requests) == 1
+    assert requests[0].method == "POST"
+    assert str(requests[0].url) == "https://api.together.ai/v1/chat/completions"
+    assert requests[0].headers["authorization"] == "Bearer test-api-key"
+    assert json_loads(requests[0].content) == expected_body
diff --git a/tests/test_hosted_providers.py b/tests/test_hosted_providers.py
new file mode 100644
index 0000000..92d9b40
--- /dev/null
+++ b/tests/test_hosted_providers.py
@@ -0,0 +1,408 @@
+"""Offline destination/authentication probes; these do not certify hosted models."""
+
+from copy import deepcopy
+from pathlib import Path
+
+import httpx
+import pytest
+from anthropic import AsyncAnthropic
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+from pydantic import SecretStr
+
+from molto import Molto
+from molto.configs import ENV_CONFIG
+from molto.providers import PROVIDER_KEY_NAMES
+from molto.utils.io import dumps_sse, json_loads, read_yaml
+
+DESTINATIONS = [
+    ("fireworks", "responses", "https://api.fireworks.ai/inference/v1", "/responses"),
+    (
+        "fireworks",
+        "chat/completions",
+        "https://api.fireworks.ai/inference/v1",
+        "/chat/completions",
+    ),
+    ("fireworks", "messages", "https://api.fireworks.ai/inference", "/v1/messages"),
+    ("openrouter", "responses", "https://openrouter.ai/api/v1", "/responses"),
+    ("openrouter", "chat/completions", "https://openrouter.ai/api/v1", "/chat/completions"),
+    ("openrouter", "messages", "https://openrouter.ai/api", "/v1/messages"),
+    (
+        "gemini",
+        "chat/completions",
+        "https://generativelanguage.googleapis.com/v1beta/openai",
+        "/chat/completions",
+    ),
+    (
+        "bedrock",
+        "responses",
+        "https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1",
+        "/responses",
+    ),
+    (
+        "bedrock",
+        "chat/completions",
+        "https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1",
+        "/chat/completions",
+    ),
+    (
+        "bedrock",
+        "messages",
+        "https://bedrock-runtime.us-east-1.amazonaws.com/anthropic",
+        "/v1/messages",
+    ),
+]
+
+
+def cassette(protocol, stream):
+    provider = "anthropic" if protocol == "messages" else "openai"
+    mode = "stream" if stream else "non_stream"
+    path = Path(__file__).parent / "cassettes/matched/simple_text"
+    return read_yaml(path / f"{provider}-{protocol.replace('/', '_')}-{mode}-00.yaml")
+
+
+def response(recording):
+    recorded = recording["response"]
+    if "sse" in recorded:
+        return httpx.Response(
+            200, content="".join(recorded["sse"]), headers={"content-type": "text/event-stream"}
+        )
+    return httpx.Response(200, json=recorded["body"])
+
+
+@pytest.mark.parametrize(("provider", "endpoint", "base", "path"), DESTINATIONS)
+@pytest.mark.parametrize("stream", [False, True])
+@pytest.mark.parametrize("override", [False, True])
+async def test_hosted_native_destination_auth_and_sdk_parity(
+    provider, endpoint, base, path, stream, override, monkeypatch
+):
+    """Ensures configured keys/default URLs and explicit overrides retain native SDK fidelity."""
+    monkeypatch.setattr(
+        ENV_CONFIG, PROVIDER_KEY_NAMES[provider].lower(), SecretStr("configured-key")
+    )
+    monkeypatch.setenv("OPENAI_API_KEY", "unrelated")
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated")
+    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated")
+    monkeypatch.setenv(
+        "ANTHROPIC_CUSTOM_HEADERS",
+        "authorization: env-lower\nAuthorization: env-title\nAUTHORIZATION: env-upper\nx-api-key: env-lower\nX-Api-Key: env-title\nX-API-KEY: env-upper\nx-custom: retained",
+    )
+    monkeypatch.setenv("OPENAI_ORG_ID", "unrelated")
+    monkeypatch.setenv("OPENAI_PROJECT_ID", "unrelated")
+    base = "https://custom.example/prefix" if override else base
+    key = "override-key" if override else "configured-key"
+    recording = cassette(endpoint, stream)
+    body = deepcopy(recording["request"]["body"])
+    body["stream"] = stream
+    requests = []
+
+    def handler(request):
+        requests.append(request)
+        assert str(request.url) == base + path
+        assert request.method == "POST"
+        assert json_loads(request.content) == body
+        assert request.headers.get("authorization") == (
+            f"Bearer {key}"
+            if endpoint != "messages" or provider in {"bedrock", "openrouter"}
+            else None
+        )
+        assert request.headers.get("x-api-key") == (
+            key if endpoint == "messages" and provider not in {"bedrock", "openrouter"} else None
+        )
+        assert "openai-organization" not in request.headers
+        assert "openai-project" not in request.headers
+        if endpoint == "messages":
+            assert request.headers["x-custom"] == "retained"
+        return response(recording)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+        async with Molto(http_client=transport) as molto:
+            actual = await getattr(molto, endpoint.replace("/", "_"))(
+                body,
+                endpoint=endpoint,
+                provider=provider,
+                base_url=base if override or provider == "bedrock" else None,
+                api_key=key if override else None,
+                extra_headers={"Authorization": "inbound", "x-api-key": "inbound"},
+            )
+            if stream:
+                actual = [event.model_dump() async for event in actual]
+            else:
+                actual = actual.model_dump()
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: response(recording))
+    ) as transport:
+        if endpoint == "messages":
+            sdk = AsyncAnthropic(api_key="sdk-key", http_client=transport)
+            expected = await sdk.messages.create(**body)
+        else:
+            sdk = AsyncOpenAI(api_key="sdk-key", http_client=transport)
+            expected = await (
+                sdk.responses.create if endpoint == "responses" else sdk.chat.completions.create
+            )(**body)
+        if stream:
+            async with expected:
+                expected = [event.model_dump() async for event in expected]
+        else:
+            expected = expected.model_dump()
+    assert actual == expected
+    assert len(requests) == 1
+
+
+@pytest.mark.parametrize(("provider", "endpoint", "base", "path"), DESTINATIONS)
+@pytest.mark.parametrize("downstream", ["responses", "chat_completions", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_missing_provider_credentials_never_use_other_accounts(
+    provider, endpoint, base, path, downstream, stream, monkeypatch
+):
+    """Ensures unrelated environment keys cannot authorize any hosted route or result mode."""
+    monkeypatch.setattr(ENV_CONFIG, PROVIDER_KEY_NAMES[provider].lower(), SecretStr(""))
+    for name in (
+        "OPENAI_API_KEY",
+        "OPENAI_ADMIN_KEY",
+        "ANTHROPIC_API_KEY",
+        "ANTHROPIC_AUTH_TOKEN",
+    ):
+        monkeypatch.setenv(name, "unrelated-key")
+    body = {
+        "model": "example",
+        "stream": stream,
+        "max_tokens": 20,
+        "messages": [{"role": "user", "content": "Hi"}],
+    }
+    if downstream == "responses":
+        body = {"model": "example", "stream": stream, "input": "Hi", "max_output_tokens": 20}
+
+    def unexpected(request):
+        pytest.fail("Missing provider credential reached HTTP")
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(unexpected))
+    ) as molto:
+        with pytest.raises(Exception, match=PROVIDER_KEY_NAMES[provider]) as error:
+            await getattr(molto, downstream)(
+                body, endpoint=endpoint, provider=provider, base_url=base
+            )
+    assert type(error.value).__name__ == "AuthenticationError"
+    assert str(error.value.request.url) == base + path
+
+
+def tool_chunk(calls, finish=None):
+    return {
+        "id": "chat-1",
+        "model": "example",
+        "created": 1,
+        "object": "chat.completion.chunk",
+        "choices": [{"index": 0, "delta": {"tool_calls": calls}, "finish_reason": finish}],
+    }
+
+
+def gemini_http(events):
+    data = "".join(dumps_sse(event) for event in events) + "data: [DONE]\n\n"
+    return httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(200, text=data, headers={"content-type": "text/event-stream"})
+        )
+    )
+
+
+def call_start(call_id, arguments="{", **fields):
+    return {
+        "id": call_id,
+        "type": "function",
+        "function": {"name": "add", "arguments": arguments},
+        **fields,
+    }
+
+
+@pytest.mark.parametrize(
+    ("downstream", "stream"),
+    [("chat_completions", True), ("responses", True), ("responses", False)],
+)
+@pytest.mark.parametrize("parallel", [False, True])
+async def test_gemini_missing_indices_preserve_distinct_calls(downstream, stream, parallel):
+    """Ensures repaired single and contiguous parallel calls finish with stable IDs and arguments."""
+    events = [
+        tool_chunk([call_start("call-a", index=None)]),
+        tool_chunk([{"id": "call-a", "function": {"arguments": '"a":1}'}}]),
+    ]
+    if parallel:
+        events.extend(
+            [
+                tool_chunk([call_start("call-b")]),
+                tool_chunk([{"id": "call-b", "function": {"arguments": '"a":2}'}}]),
+            ]
+        )
+    events.append(tool_chunk([], "tool_calls"))
+    async with Molto(http_client=gemini_http(events)) as molto:
+        body = {"model": "example", "stream": stream}
+        body.update(
+            {"input": "Hi"}
+            if downstream == "responses"
+            else {"messages": [{"role": "user", "content": "Hi"}]}
+        )
+        result = await getattr(molto, downstream)(
+            body, endpoint="chat/completions", provider="gemini", api_key="key"
+        )
+        if stream:
+            output = [event async for event in result]
+        if downstream == "chat_completions":
+            state = ChatCompletionStreamState()
+            for event in output:
+                state.handle_chunk(event)
+            calls = state.get_final_completion().choices[0].message.tool_calls
+            actual = [(c.id, c.function.arguments) for c in calls]
+        else:
+            response = output[-1].response if stream else result
+            actual = [(item.call_id, item.arguments) for item in response.output]
+            if stream:
+                added = [
+                    event.item.call_id
+                    for event in output
+                    if event.type == "response.output_item.added"
+                ]
+                done = [
+                    event.item.call_id
+                    for event in output
+                    if event.type == "response.output_item.done"
+                ]
+                assert added == done == [call_id for call_id, _ in actual]
+    assert actual == [("call-a", '{"a":1}')] + ([("call-b", '{"a":2}')] if parallel else [])
+
+
+@pytest.mark.parametrize("mixed_indices", [False, True])
+async def test_gemini_native_interleaved_calls_use_ids_not_array_positions(mixed_indices):
+    """Ensures native accumulation preserves parallel identities when fragment order changes."""
+    first = [call_start("call-a"), call_start("call-b")]
+    for call in first:
+        call["extra_content"] = {"google": {"thought_signature": f"state-{call['id']}"}}
+    if mixed_indices:
+        first[1]["index"] = 1
+    events = [
+        tool_chunk(first),
+        tool_chunk(
+            [
+                {"id": "call-b", "function": {"arguments": '"a":2}'}},
+                {"id": "call-a", "function": {"arguments": '"a":1}'}},
+            ]
+        ),
+        tool_chunk([], "tool_calls"),
+    ]
+    original = deepcopy(events)
+    async with Molto(http_client=gemini_http(events)) as molto:
+        output = await molto.chat_completions(
+            {"model": "example", "stream": True, "messages": [{"role": "user", "content": "Hi"}]},
+            provider="gemini",
+            api_key="key",
+        )
+        state = ChatCompletionStreamState()
+        async for event in output:
+            state.handle_chunk(event)
+    calls = state.get_final_completion().choices[0].message.tool_calls
+    assert [(c.id, c.function.name, c.function.arguments) for c in calls] == [
+        ("call-a", "add", '{"a":1}'),
+        ("call-b", "add", '{"a":2}'),
+    ]
+    assert [c.extra_content for c in calls] == [
+        {"google": {"thought_signature": "state-call-a"}},
+        {"google": {"thought_signature": "state-call-b"}},
+    ]
+    assert events == original
+
+
+@pytest.mark.parametrize("stream", [False, True])
+async def test_gemini_translated_noncontiguous_calls_reject(stream):
+    """Ensures inferred indices do not bypass the translated stream's contiguous-call contract."""
+    events = [
+        tool_chunk([call_start("call-a"), call_start("call-b")]),
+        tool_chunk([{"id": "call-a", "function": {"arguments": "}"}}]),
+    ]
+    async with Molto(http_client=gemini_http(events)) as molto:
+        with pytest.raises(ValueError, match="contiguous"):
+            result = await molto.responses(
+                {"model": "example", "input": "Hi", "stream": stream},
+                endpoint="chat/completions",
+                provider="gemini",
+                api_key="key",
+            )
+            if stream:
+                [event async for event in result]
+
+
+@pytest.mark.parametrize(
+    "calls",
+    [
+        [{"index": None, "function": {"arguments": "{}"}}],
+        [call_start("call-a", index=-1)],
+        [call_start("call-a", index="invalid")],
+        [call_start("call-a", index=0), call_start("call-b", index=0)],
+        [call_start("call-a", index=0), call_start("call-a", index=1)],
+    ],
+)
+async def test_gemini_ambiguous_or_conflicting_identity_rejects(calls):
+    """Ensures malformed or conflicting identity fails before a fabricated successful completion."""
+    async with Molto(http_client=gemini_http([tool_chunk(calls)])) as molto:
+        with pytest.raises(ValueError, match="unambiguous|nonnegative|identity|index"):
+            result = await molto.responses(
+                {"model": "example", "input": "Hi", "stream": True},
+                endpoint="chat/completions",
+                provider="gemini",
+                api_key="key",
+            )
+            [event async for event in result]
+
+
+async def test_gemini_anonymous_fragment_after_parallel_calls_rejects():
+    """Ensures a fragment with several possible owners never defaults to the latest or zero index."""
+    events = [
+        tool_chunk([call_start("call-a"), call_start("call-b")]),
+        tool_chunk([{"function": {"arguments": "}"}}]),
+    ]
+    async with Molto(http_client=gemini_http(events)) as molto:
+        with pytest.raises(ValueError, match="unambiguous"):
+            result = await molto.chat_completions(
+                {
+                    "model": "example",
+                    "messages": [{"role": "user", "content": "Hi"}],
+                    "stream": True,
+                },
+                provider="gemini",
+                api_key="key",
+            )
+            [event async for event in result]
+
+
+async def test_gemini_anonymous_single_call_continuation_is_unambiguous():
+    """Ensures an anonymous argument-only fragment can continue the sole established call."""
+    events = [
+        tool_chunk([call_start("call-a")]),
+        tool_chunk([{"function": {"arguments": '"a":1}'}}]),
+        tool_chunk([], "tool_calls"),
+    ]
+    async with Molto(http_client=gemini_http(events)) as molto:
+        result = await molto.responses(
+            {"model": "example", "input": "Hi", "stream": False},
+            endpoint="chat/completions",
+            provider="gemini",
+            api_key="key",
+        )
+    assert [(item.call_id, item.arguments) for item in result.output] == [("call-a", '{"a":1}')]
+
+
+async def test_gemini_indexed_chunks_retain_native_fidelity():
+    """Ensures Gemini compatibility repair does not alter already indexed provider chunks."""
+    from openai.types.chat import ChatCompletionChunk
+
+    events = [
+        tool_chunk([call_start("call-a", index=0)]),
+        tool_chunk([{"id": "call-a", "index": 0, "function": {"arguments": "}"}}]),
+        tool_chunk([], "tool_calls"),
+    ]
+    async with Molto(http_client=gemini_http(events)) as molto:
+        result = await molto.chat_completions(
+            {"model": "example", "messages": [{"role": "user", "content": "Hi"}], "stream": True},
+            provider="gemini",
+            api_key="key",
+        )
+        actual = [event.model_dump() async for event in result]
+    assert actual == [ChatCompletionChunk.model_validate(event).model_dump() for event in events]
diff --git a/tests/test_match_anthropic_cassette_events.py b/tests/test_match_anthropic_cassette_events.py
index 83206b8..34af6e1 100644
--- a/tests/test_match_anthropic_cassette_events.py
+++ b/tests/test_match_anthropic_cassette_events.py
@@ -1666,10 +1666,12 @@ def test_opaque_reasoning_history_uses_prior_done_snapshot(cassette_dir: Path) -
 
 
 def test_request_only_matching_preserves_recorded_error(tmp_path: Path) -> None:
+    """Ensures request alignment preserves recorded error bytes, status, and headers."""
     cassette_dir = Path(__file__).parent / "cassettes" / "errors" / "context_length_exceeded"
     expected = read_yaml(str(cassette_dir / "anthropic-messages-stream-00.yaml"))
     responses_path = cassette_dir / "openai-responses-stream-00.yaml"
     original_responses = responses_path.read_bytes()
+    expected["response"]["body_bytes"] = b'{ "error": "original bytes" }\n'
     unmatched = deepcopy(expected)
     unmatched["request"]["body"]["model"] = "unmatched-model"
     unmatched["request"]["body"]["messages"] = [{"role": "user", "content": "Unmatched input"}]
diff --git a/tests/test_match_anthropic_cassette_responses.py b/tests/test_match_anthropic_cassette_responses.py
index ef84df4..465ceb2 100644
--- a/tests/test_match_anthropic_cassette_responses.py
+++ b/tests/test_match_anthropic_cassette_responses.py
@@ -182,3 +182,14 @@ def test_cli_writes_sorted_output_without_mutating_input(tmp_path: Path) -> None
     matched = read_yaml(str(output_path))
     assert matched["response"]["body"]["id"] == responses["response"]["body"]["id"]
     assert output_path.read_text().splitlines()[0].startswith("filename:")
+
+
+def test_matching_discards_stale_raw_response_bytes() -> None:
+    """Ensures deliberately matched JSON replaces raw bytes without mutating the canonical recording."""
+    source, canonical = _cassettes()
+    source["response"]["body_bytes"] = b"old recorded response"
+    canonical["response"]["body_bytes"] = b"canonical original bytes"
+    original = deepcopy(canonical)
+    match_messages_response(source, canonical)
+    assert "body_bytes" not in source["response"]
+    assert canonical == original
diff --git a/tests/test_match_openai_cassette_events.py b/tests/test_match_openai_cassette_events.py
index fcbec65..a0b7f4f 100644
--- a/tests/test_match_openai_cassette_events.py
+++ b/tests/test_match_openai_cassette_events.py
@@ -817,10 +817,12 @@ def test_uses_default_service_tier_for_translated_chat_completions() -> None:
 
 
 def test_request_only_matching_preserves_recorded_error(tmp_path: Path) -> None:
+    """Ensures request alignment preserves recorded error bytes, status, and headers."""
     cassette_dir = Path(__file__).parent / "cassettes" / "errors" / "context_length_exceeded"
     expected = read_yaml(str(cassette_dir / "openai-chat_completions-stream-00.yaml"))
     responses_path = cassette_dir / "openai-responses-stream-00.yaml"
     original_responses = responses_path.read_bytes()
+    expected["response"]["body_bytes"] = b'{ "error": "original bytes" }\n'
     unmatched = deepcopy(expected)
     unmatched["request"]["body"]["model"] = "unmatched-model"
     unmatched["request"]["body"]["messages"] = [{"role": "user", "content": "Unmatched input"}]
diff --git a/tests/test_match_openai_cassette_responses.py b/tests/test_match_openai_cassette_responses.py
index 3eb0bd1..aad5e10 100644
--- a/tests/test_match_openai_cassette_responses.py
+++ b/tests/test_match_openai_cassette_responses.py
@@ -260,3 +260,14 @@ def test_cli_writes_sorted_output_without_mutating_input(tmp_path: Path) -> None
     matched = read_yaml(str(output_path))
     assert matched["response"]["body"]["id"] == responses["response"]["body"]["id"]
     assert output_path.read_text().splitlines()[0].startswith("filename:")
+
+
+def test_matching_discards_stale_raw_response_bytes() -> None:
+    """Ensures deliberately matched JSON replaces raw bytes without mutating the canonical recording."""
+    source, canonical = _cassettes()
+    source["response"]["body_bytes"] = b"old recorded response"
+    canonical["response"]["body_bytes"] = b"canonical original bytes"
+    original = deepcopy(canonical)
+    match_chat_completions_response(source, canonical)
+    assert "body_bytes" not in source["response"]
+    assert canonical == original
diff --git a/tests/test_providers.py b/tests/test_providers.py
index b305f1f..8b4b31a 100644
--- a/tests/test_providers.py
+++ b/tests/test_providers.py
@@ -17,7 +17,12 @@
 def test_provider_capabilities_are_explicit_and_immutable() -> None:
     assert PROVIDER_CAPABILITIES == {
         "anthropic": ProviderCapabilities(thinking="summary"),
+        "bedrock": ProviderCapabilities(thinking="summary"),
+        "fireworks": ProviderCapabilities(thinking="summary"),
         "openai": ProviderCapabilities(thinking="summary"),
+        "gemini": ProviderCapabilities(thinking="raw"),
+        "openrouter": ProviderCapabilities(thinking="summary"),
+        "togetherai": ProviderCapabilities(thinking="raw"),
         "vllm": ProviderCapabilities(thinking="raw"),
     }
     with pytest.raises(FrozenInstanceError):
diff --git a/tests/test_record_provider_conversation.py b/tests/test_record_provider_conversation.py
new file mode 100644
index 0000000..2c3e2a1
--- /dev/null
+++ b/tests/test_record_provider_conversation.py
@@ -0,0 +1,405 @@
+"""Mocked native-SDK recording scenarios; no live provider calls or committed fixture writes."""
+
+import argparse
+import json
+from copy import deepcopy
+from hashlib import sha256
+from pathlib import Path
+
+import httpx
+import pytest
+from openai.types.chat import ChatCompletionMessage
+
+from scripts import record_provider_conversation as driver
+from scripts import recorder_proxy
+
+
+def tool_call(identity, a, b, **extra):
+    return {
+        "id": identity,
+        "type": "function",
+        "function": {"name": "add", "arguments": json.dumps({"a": a, "b": b})},
+        **extra,
+    }
+
+
+def completion(message, finish=None):
+    return {
+        "id": "chatcmpl-recording",
+        "object": "chat.completion",
+        "created": 1,
+        "model": "returned-model",
+        "choices": [
+            {
+                "index": 0,
+                "message": message,
+                "finish_reason": finish or ("tool_calls" if message.get("tool_calls") else "stop"),
+            }
+        ],
+    }
+
+
+def streaming_response(
+    message, finish=None, *, missing_index=False, repeat_extension=False, repeated_role=False
+):
+    delta = deepcopy(message)
+    for index, call in enumerate(delta.get("tool_calls") or []):
+        call["index"] = None if missing_index else index
+    deltas = [delta]
+    if repeated_role:
+        deltas = [
+            {"role": "assistant", "reasoning": " First"},
+            {"role": "assistant", "reasoning": " thought\n"},
+            delta,
+        ]
+    if repeat_extension:
+        deltas.append({"extra_content": deepcopy(message["extra_content"])})
+    chunks = []
+    for item in [*deltas, {}]:
+        chunk = {
+            "id": "chatcmpl-recording",
+            "object": "chat.completion.chunk",
+            "created": 1,
+            "model": "returned-model",
+            "choices": [{"index": 0, "delta": item, "finish_reason": None}],
+        }
+        if not item:
+            chunk["choices"][0]["finish_reason"] = finish or (
+                "tool_calls" if message.get("tool_calls") else "stop"
+            )
+        chunks.append("data: " + json.dumps(chunk) + "\n\n")
+    return httpx.Response(
+        200,
+        text="".join(chunks) + "data: [DONE]\n\n",
+        headers={"content-type": "text/event-stream"},
+    )
+
+
+@pytest.fixture
+def recording_args(monkeypatch, tmp_path):
+    """Isolate provider credentials and staging from the developer environment."""
+    monkeypatch.setattr(driver, "load_dotenv", lambda **_: None)
+    monkeypatch.setenv("TEST_RECORDING_KEY", "test-provider-credential")
+    return argparse.Namespace(
+        key_env="TEST_RECORDING_KEY",
+        provider="synthetic",
+        model="requested-model",
+        base_url="https://provider.test/prefix/v1",
+        output_dir=tmp_path / "run",
+        scenario="text",
+        stream=False,
+        max_tokens=512,
+        extra_body=None,
+    )
+
+
+async def run_recording(monkeypatch, args, messages, **stream_options):
+    requests = []
+
+    def handler(request):
+        assert str(request.url) == "https://provider.test/prefix/v1/chat/completions"
+        assert request.headers["authorization"] == "Bearer test-provider-credential"
+        requests.append(json.loads(request.content))
+        message = messages[len(requests) - 1]
+        if args.stream:
+            return streaming_response(message, **stream_options)
+        return httpx.Response(200, json=completion(message))
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        code = await driver.record(args)
+        assert upstream.is_closed
+    return code, json.loads((args.output_dir / "manifest.json").read_text()), requests
+
+
+@pytest.mark.parametrize("stream", [False, True])
+@pytest.mark.parametrize("scenario", ["text", "tools", "parallel"])
+async def test_complete_native_conversations_carry_actual_history(
+    monkeypatch, recording_args, stream, scenario
+):
+    """Ensures SDK output, reasoning, opaque state, calls, and actual linked results reach later turns."""
+    args = recording_args
+    args.stream, args.scenario = stream, scenario
+    opaque = {"google": {"thought_signature": "opaque-message"}}
+    first = {
+        "role": "assistant",
+        "content": "Keep  exact\nwording",
+        "reasoning": " Think\n ",
+        "extra_content": opaque,
+    }
+    messages = [first, {"role": "assistant", "content": "Final  text."}]
+    if scenario != "text":
+        first["tool_calls"] = [
+            tool_call(
+                "call-one",
+                2,
+                3,
+                extra_content={"google": {"thought_signature": "opaque-call-one"}},
+            )
+        ]
+        if scenario == "parallel":
+            first["tool_calls"].append(
+                tool_call(
+                    "call-two",
+                    7,
+                    4,
+                    extra_content={"google": {"thought_signature": "opaque-call-two"}},
+                )
+            )
+        else:
+            messages.insert(
+                1,
+                {
+                    "role": "assistant",
+                    "content": None,
+                    "tool_calls": [tool_call("call-two", 5, 4)],
+                },
+            )
+    code, manifest, requests = await run_recording(monkeypatch, args, messages)
+
+    assert code == 0
+    assert manifest["status"] == "complete"
+    assert len(requests) == (3 if scenario == "tools" else 2)
+    for turn, info in enumerate(manifest["turns"]):
+        assert info["status"] == "complete"
+        assert info["returned_model"] == "returned-model"
+        assert len(info["files"]) == 1
+        assert (args.output_dir / info["files"][0]).exists()
+        assert requests[turn]["stream"] is stream
+    expected_first = deepcopy(first)
+    if stream:
+        # The pinned SDK's snapshot explicitly materializes these null placeholders.
+        for field in ("annotations", "audio", "function_call", "refusal", "tool_calls"):
+            expected_first.setdefault(field, None)
+    assert requests[1]["messages"][1] == expected_first
+    if scenario == "text":
+        assert len(requests[0]["messages"][0]["content"]) == 2
+        assert len(requests[1]["messages"][-1]["content"]) == 2
+    else:
+        assert requests[1]["messages"][2] == {
+            "role": "tool",
+            "tool_call_id": "call-one",
+            "content": "5",
+        }
+        if scenario == "parallel":
+            assert requests[0]["parallel_tool_calls"] is True
+            assert requests[0]["tool_choice"] == "required"
+            assert requests[1]["tool_choice"] == "none"
+            assert requests[1]["messages"][3] == {
+                "role": "tool",
+                "tool_call_id": "call-two",
+                "content": "11",
+            }
+        else:
+            expected_second = deepcopy(messages[1])
+            if stream:
+                for field in ("annotations", "audio", "function_call", "refusal"):
+                    expected_second.setdefault(field, None)
+            assert requests[2]["messages"][3] == expected_second
+            assert requests[2]["messages"][4] == {
+                "role": "tool",
+                "tool_call_id": "call-two",
+                "content": "9",
+            }
+    assert manifest["source_hashes"] == {
+        "driver_sha256": sha256(Path(driver.__file__).read_bytes()).hexdigest(),
+        "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
+    }
+    assert set(manifest["versions"]) == {"openai", "anthropic", "httpx"}
+    assert manifest["upstream_url"] == args.base_url + "/chat/completions"
+    assert manifest["sdk_retries"] == manifest["proxy_retries"] == 0
+
+
+@pytest.mark.parametrize(
+    ("scenario", "messages", "expected_requests"),
+    [
+        ("tools", [{"role": "assistant", "content": "No tool."}], 1),
+        (
+            "tools",
+            [
+                {"role": "assistant", "tool_calls": [tool_call("first", 2, 3)]},
+                {"role": "assistant", "content": "Skipped second call."},
+            ],
+            2,
+        ),
+        ("parallel", [{"role": "assistant", "tool_calls": [tool_call("first", 2, 3)]}], 1),
+        (
+            "parallel",
+            [
+                {
+                    "role": "assistant",
+                    "tool_calls": [tool_call("same", 2, 3), tool_call("same", 7, 4)],
+                }
+            ],
+            1,
+        ),
+        ("tools", [{"role": "assistant", "tool_calls": [tool_call("first", 2, 9)]}], 1),
+        ("text", [{"role": "assistant", "content": ""}], 1),
+    ],
+)
+async def test_incomplete_scenarios_remain_failed_evidence(
+    monkeypatch, recording_args, scenario, messages, expected_requests
+):
+    """Ensures missing calls, wrong arguments, duplicate identities, or empty answers cannot certify a scenario."""
+    recording_args.scenario = scenario
+    code, manifest, requests = await run_recording(monkeypatch, recording_args, messages)
+    assert code == 1
+    assert manifest["status"] == "incomplete"
+    assert manifest["failure"]["type"] == "ValueError"
+    assert manifest["failure"]["traceback"]
+    assert len(requests) == expected_requests
+    assert manifest["turns"][-1]["status"] == "incomplete"
+    assert len(manifest["turns"][-1]["files"]) == 1
+
+
+@pytest.mark.parametrize("missing_index", [False, True])
+async def test_sdk_accumulation_failures_retain_original_capture(
+    monkeypatch, recording_args, missing_index
+):
+    """Ensures missing indices or corrupted opaque snapshots fail without repairing provider output."""
+    args = recording_args
+    args.stream = True
+    args.scenario = "tools" if missing_index else "text"
+    message = {
+        "role": "assistant",
+        "content": "Answer",
+        "extra_content": {"google": {"thought_signature": "opaque"}},
+    }
+    if missing_index:
+        message["tool_calls"] = [tool_call("first", 2, 3)]
+    code, manifest, requests = await run_recording(
+        monkeypatch,
+        args,
+        [message],
+        missing_index=missing_index,
+        repeat_extension=not missing_index,
+    )
+    assert code == 1
+    assert manifest["status"] == "incomplete"
+    assert len(requests) == 1
+    assert len(manifest["turns"][0]["files"]) == 1
+    assert manifest["failure"]["type"] in {"TypeError", "ValueError"}
+
+
+def test_history_cleanup_preserves_populated_metadata_and_source():
+    """Ensures bookkeeping removal does not erase populated annotations, opaque state, or mutate SDK output."""
+    source = ChatCompletionMessage.model_validate(
+        {
+            "role": "assistant",
+            "content": "Answer",
+            "parsed": {"internal": True},
+            "annotations": [
+                {
+                    "type": "url_citation",
+                    "url_citation": {
+                        "url": "https://example.test",
+                        "title": "Example",
+                        "start_index": 0,
+                        "end_index": 6,
+                    },
+                }
+            ],
+            "tool_calls": [
+                {
+                    "index": 0,
+                    **tool_call(
+                        "call", 2, 3, extra_content={"google": {"thought_signature": "signature"}}
+                    ),
+                }
+            ],
+        }
+    )
+    before = source.model_dump(exclude_unset=True)
+    history = driver.assistant_history(source)
+    assert "parsed" not in history
+    assert "index" not in history["tool_calls"][0]
+    assert history["annotations"] == before["annotations"]
+    assert history["tool_calls"][0]["extra_content"] == before["tool_calls"][0]["extra_content"]
+    assert source.model_dump(exclude_unset=True) == before
+
+
+async def test_manifest_masks_configured_key_and_keeps_settings(monkeypatch, recording_args):
+    """Ensures persisted provider settings cannot echo the configured authentication credential."""
+    recording_args.extra_body = {
+        "reasoning": {"enabled": False},
+        "test_echo": "test-provider-credential",
+    }
+    messages = [
+        {"role": "assistant", "content": "First."},
+        {"role": "assistant", "content": "Second."},
+    ]
+    code, manifest, _ = await run_recording(monkeypatch, recording_args, messages)
+    assert code == 0
+    assert manifest["extra_body"] == {"reasoning": {"enabled": False}, "test_echo": "***"}
+    assert (
+        "test-provider-credential" not in (recording_args.output_dir / "manifest.json").read_text()
+    )
+
+
+@pytest.mark.parametrize("finish_reason", ["length", "tool_calls"])
+def test_text_turn_requires_successful_text_termination(finish_reason):
+    """Ensures incomplete or tool-terminated text cannot be labeled a completed text turn."""
+    with pytest.raises(ValueError, match="complete"):
+        driver.validate_turn(
+            {"role": "assistant", "content": "Partial text"}, finish_reason, "text", 0
+        )
+
+
+def test_final_tool_turn_rejects_unresolved_calls():
+    """Ensures a third sequential turn with another tool call is retained as incomplete evidence."""
+    with pytest.raises(ValueError, match="number"):
+        driver.validate_turn(
+            {"role": "assistant", "tool_calls": [tool_call("third", 9, 1)]},
+            "tool_calls",
+            "tools",
+            2,
+        )
+
+
+async def test_repeated_role_snapshots_preserve_original_recording_and_history(
+    monkeypatch, recording_args
+):
+    """Ensures demonstrated Together role repetition reconstructs one assistant without editing evidence."""
+    args = recording_args
+    args.stream = True
+    messages = [
+        {"role": "assistant", "content": "Actual first answer."},
+        {"role": "assistant", "content": "Actual second answer."},
+    ]
+    code, manifest, requests = await run_recording(monkeypatch, args, messages, repeated_role=True)
+    assert code == 0
+    assert requests[1]["messages"][1]["role"] == "assistant"
+    assert requests[1]["messages"][1]["content"] == messages[0]["content"]
+    assert requests[1]["messages"][1]["reasoning"] == " First thought\n"
+    assert "role snapshots omitted on copies" in manifest["accumulation_policy"]
+    from yaml import safe_load
+
+    capture = safe_load((args.output_dir / manifest["turns"][0]["files"][0]).read_text())
+    assert "".join(capture["response"]["sse"]).count('"role": "assistant"') == 3
+
+
+def test_accumulation_rejects_changing_roles_without_mutating_chunks():
+    """Ensures reconstruction only removes identical role snapshots and rejects identity changes."""
+    from openai.types.chat import ChatCompletionChunk
+
+    original = ChatCompletionChunk.model_validate(
+        {
+            "id": "chat",
+            "created": 1,
+            "model": "m",
+            "object": "chat.completion.chunk",
+            "choices": [
+                {
+                    "index": 0,
+                    "delta": {"role": "assistant", "content": "text"},
+                    "finish_reason": None,
+                }
+            ],
+        }
+    )
+    before = original.model_dump()
+    copy = driver.accumulation_chunk(original, {0: "assistant"})
+    assert "role" not in copy.choices[0].delta.model_dump(exclude_unset=True)
+    assert original.model_dump() == before
+    with pytest.raises(ValueError, match="changed the role"):
+        driver.accumulation_chunk(original, {0: "user"})
diff --git a/tests/test_recorder_proxy.py b/tests/test_recorder_proxy.py
new file mode 100644
index 0000000..e700771
--- /dev/null
+++ b/tests/test_recorder_proxy.py
@@ -0,0 +1,308 @@
+"""Offline regressions for the standalone provider evidence recorder."""
+
+import json
+from pathlib import Path
+
+import httpx
+import pytest
+from starlette.requests import Request
+from yaml import safe_load
+
+from molto.utils.test import OpenAICassetteManager, OpenAICassetteTransport
+from scripts import recorder_proxy
+
+
+@pytest.fixture
+def recording_dir(monkeypatch, tmp_path):
+    """Ensure recorder tests write temporary artifacts, never committed cassettes."""
+    monkeypatch.setattr(recorder_proxy, "OUTPUT_DIR", tmp_path)
+    monkeypatch.setattr(recorder_proxy, "TARGET_HOST", "https://provider.test/prefix")
+    return tmp_path
+
+
+def read_recording(path: Path) -> dict:
+    files = list(path.glob("*.yaml"))
+    assert len(files) == 1
+    return safe_load(files[0].read_text())
+
+
+@pytest.mark.parametrize("stream", [False, True])
+@pytest.mark.parametrize(
+    ("status", "content_type", "body"),
+    [
+        (400, "application/json", b""),
+        (502, "text/html", b"<html>Bad gateway</html>\n"),
+        (429, "application/json; charset=utf-8", b'{ "error": "slow down" }\n'),
+        (400, "application/problem+json", b'{"detail":"bad request"}'),
+        (503, "application/json", b"not json"),
+        (400, "application/octet-stream", b"\xff\x00"),
+        (200, "application/json", b'{ "id": "result" }\n'),
+    ],
+)
+async def test_response_bytes_and_errors_survive_proxy(
+    monkeypatch, recording_dir, stream, status, content_type, body
+):
+    """Ensures all result modes retain status, exact body bytes, headers, and one attempt."""
+    requests = []
+
+    def handler(request):
+        requests.append(request)
+        assert str(request.url) == "https://provider.test/prefix/v1/responses"
+        return httpx.Response(
+            status,
+            content=body,
+            headers={
+                "content-type": content_type,
+                "x-request-id": "request-1",
+                "retry-after": "1",
+            },
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app), base_url="http://proxy.test"
+        ) as client:
+            response = await client.post("/v1/responses", json={"model": "m", "stream": stream})
+
+    assert len(requests) == 1
+    assert response.status_code == status
+    assert response.content == body
+    assert response.headers["content-type"] == content_type
+    assert response.headers["x-request-id"] == "request-1"
+    captured = read_recording(recording_dir)["response"]
+    assert captured["body_bytes"] == body
+    assert captured["status_code"] == status
+    assert captured["headers"]["retry-after"] == "1"
+    if "json" in content_type and body.startswith(b"{"):
+        assert captured["body"] == json.loads(body)
+
+
+class ProviderStream(httpx.AsyncByteStream):
+    def __init__(self, chunks, fail=False):
+        self.chunks = chunks
+        self.fail = fail
+        self.closed = False
+
+    async def __aiter__(self):
+        for chunk in self.chunks:
+            yield chunk
+        if self.fail:
+            raise httpx.ReadError("URL may contain credentials")
+
+    async def aclose(self):
+        self.closed = True
+
+
+def proxy_request():
+    async def receive():
+        return {"type": "http.request", "body": b'{"stream":true}', "more_body": False}
+
+    return Request(
+        {
+            "type": "http",
+            "method": "POST",
+            "path": "/v1/responses",
+            "headers": [(b"content-type", b"application/json")],
+            "query_string": b"",
+        },
+        receive,
+    )
+
+
+@pytest.mark.parametrize(
+    ("chunks", "terminal", "error"),
+    [
+        ([b'data: {"choices":[]}\n\ndata: [DONE]\n\n'], "[DONE]", False),
+        (
+            [b'event: response.incomplete\ndata: {"type":"response.incomplete"}\n\n'],
+            "response.incomplete",
+            False,
+        ),
+        ([b'event: message_stop\ndata: {"type":"message_stop"}\n\n'], "message_stop", False),
+        ([b'data: {"error":{"message":"invalid request"}}\n\n'], None, True),
+        ([b'data: {"choices":[]}\n\n'], None, False),
+    ],
+)
+async def test_stream_capture_reports_eof_and_terminal_evidence(
+    monkeypatch, recording_dir, chunks, terminal, error
+):
+    """Ensures EOF, protocol termination, and HTTP 200 stream errors remain distinct evidence."""
+    source = ProviderStream(chunks)
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(
+                200, stream=source, headers={"content-type": "text/event-stream; charset=utf-8"}
+            )
+        )
+    ) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        response = await recorder_proxy.proxy_request(proxy_request(), "v1/responses")
+        messages = []
+
+        async def send(message):
+            messages.append(message)
+
+        await response.stream_response(send)
+
+    captured = read_recording(recording_dir)["response"]
+    assert captured["status_code"] == 200
+    assert captured["stream_status"] == "complete"
+    assert captured["terminal_event"] == terminal
+    assert captured["error_event"] == error
+    assert "".join(captured["sse"]).encode() == b"".join(chunks)
+    assert b"".join(item.get("body", b"") for item in messages) == b"".join(chunks)
+    assert source.closed
+
+
+@pytest.mark.parametrize("disconnect_at", ["http.response.start", "http.response.body"])
+async def test_disconnected_stream_is_saved_and_closed(monkeypatch, recording_dir, disconnect_at):
+    """Ensures disconnects during headers or body save partial evidence and close transport."""
+    source = ProviderStream([b'data: {"choices":[]}\n\n', b"data: [DONE]\n\n"])
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(
+                200, stream=source, headers={"content-type": "text/event-stream"}
+            )
+        )
+    ) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        response = await recorder_proxy.proxy_request(proxy_request(), "v1/responses")
+
+        async def send(message):
+            if message["type"] == disconnect_at:
+                raise OSError("client disconnected")
+
+        with pytest.raises(OSError, match="client disconnected"):
+            await response.stream_response(send)
+
+    captured = read_recording(recording_dir)["response"]
+    assert captured["stream_status"] == "disconnected"
+    assert captured["terminal_event"] is None
+    assert not any("[DONE]" in line for line in captured["sse"])
+    assert source.closed
+
+
+async def test_failed_stream_propagates_and_retains_partial_evidence(monkeypatch, recording_dir):
+    """Ensures an upstream read failure is not swallowed or reported as successful completion."""
+    source = ProviderStream([b'data: {"choices":[]}\n\n'], fail=True)
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(
+                200, stream=source, headers={"content-type": "text/event-stream"}
+            )
+        )
+    ) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        response = await recorder_proxy.proxy_request(proxy_request(), "v1/responses")
+
+        async def send(message):
+            pass
+
+        with pytest.raises(httpx.ReadError):
+            await response.stream_response(send)
+
+    captured = read_recording(recording_dir)["response"]
+    assert captured["stream_status"] == "transport_error"
+    assert captured["transport_error"] == "ReadError"
+    assert captured["terminal_event"] is None
+    assert captured["sse"] == ['data: {"choices":[]}\n', "\n"]
+    assert source.closed
+
+
+async def test_credentials_are_masked_in_recordings_only(monkeypatch, recording_dir):
+    """Ensures echoed credentials are masked while continuation state and actual traffic survive."""
+    payload = {
+        "extra_content": {"google": {"thought_signature": "opaque-state"}},
+        "key": "semantic-key",
+    }
+
+    def handler(request):
+        assert request.headers["authorization"] == "Bearer header-secret"
+        assert request.headers["x-api-key"] == "api-secret"
+        assert request.url.params["key"] == "query-secret"
+        assert json.loads(request.content) == payload
+        return httpx.Response(400, text="header-secret api-secret query-secret opaque-state")
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app), base_url="http://proxy.test"
+        ) as client:
+            response = await client.post(
+                "/v1/responses?key=query-secret",
+                json=payload,
+                headers={"authorization": "Bearer header-secret", "x-api-key": "api-secret"},
+            )
+
+    assert response.text == "header-secret api-secret query-secret opaque-state"
+    captured = read_recording(recording_dir)
+    assert captured["request"]["body"] == payload
+    assert captured["request"]["query_params"]["key"] == "***"
+    assert captured["request"]["headers"]["authorization"] == "Bearer ***"
+    assert captured["response"]["body_bytes"] == b"*** *** *** opaque-state"
+    assert "secret" not in next(recording_dir.glob("*.yaml")).read_text()
+
+
+@pytest.mark.parametrize("body", [b"", b'{ "error": "bad request" }\n', b"\xff\x00"])
+def test_replay_uses_authoritative_response_bytes(monkeypatch, tmp_path, body):
+    """Ensures replay does not reserialize JSON or corrupt empty and binary error bodies."""
+    manager = OpenAICassetteManager("recorder", "recorder", "recorder", False, root=tmp_path)
+    cassette = {
+        "request": {
+            "method": "POST",
+            "path": "/v1/responses",
+            "body": {"model": "m"},
+            "query_params": {},
+            "headers": {"content-type": "application/json"},
+        },
+        "response": {
+            "status_code": 400,
+            "headers": {"content-type": "application/json", "x-request-id": "request-1"},
+            "body": {"error": "parsed value is not authoritative"},
+            "body_bytes": body,
+        },
+    }
+    monkeypatch.setattr(manager, "read", lambda _: cassette)
+    transport = OpenAICassetteTransport(manager, playback_only=True)
+    request = httpx.Request("POST", "https://provider.test/v1/responses", json={"model": "m"})
+    response = transport._response_from_cassette(
+        request, {"model": "m"}, tmp_path / "capture.yaml"
+    )
+    assert response.content == body
+    assert response.status_code == 400
+    assert response.headers["x-request-id"] == "request-1"
+
+
+@pytest.mark.parametrize("content_type", ["application/json", "text/html"])
+async def test_partial_non_streaming_error_retains_received_bytes(
+    monkeypatch, recording_dir, content_type
+):
+    """Ensures truncated error bodies retain observed bytes and failure status without fabrication."""
+    body = b'{"error":"truncated' if content_type == "application/json" else b"<html>truncated"
+    source = ProviderStream([body], fail=True)
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(502, stream=source, headers={"content-type": content_type})
+        )
+    ) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        with pytest.raises(httpx.ReadError):
+            await recorder_proxy.proxy_request(proxy_request(), "v1/responses")
+    captured = read_recording(recording_dir)["response"]
+    assert captured["status_code"] == 502
+    assert captured["body_bytes"] == body
+    assert captured["body"] == body.decode()
+    assert captured["transport_error"] == "ReadError"
+    assert source.closed
+
+
+def test_standalone_proxy_disables_credential_bearing_access_logs(monkeypatch, recording_dir):
+    """Ensures standalone startup cannot expose query credentials through Uvicorn access logs."""
+    captured = {}
+    monkeypatch.setattr("sys.argv", ["recorder_proxy.py"])
+    monkeypatch.setattr(
+        recorder_proxy.uvicorn, "run", lambda app, **options: captured.update(options)
+    )
+    recorder_proxy.main()
+    assert captured["access_log"] is False
diff --git a/tests/test_together.py b/tests/test_together.py
new file mode 100644
index 0000000..b1dd4d8
--- /dev/null
+++ b/tests/test_together.py
@@ -0,0 +1,519 @@
+"""Replay and synthetic coverage for Together's explicitly selected Chat dialect."""
+
+from copy import deepcopy
+from json import dumps, loads
+from pathlib import Path
+
+import httpx
+import pytest
+from openai import APIStatusError, AsyncOpenAI, BadRequestError, OpenAIError
+from openai import AuthenticationError as SDKAuthenticationError
+from pydantic import SecretStr
+
+from molto import Molto
+from molto.adapters.openai import OpenAIChatCompletionsAdapter
+from molto.configs import ENV_CONFIG
+from molto.providers import PROVIDER_CAPABILITIES
+from molto.types.exceptions import ContextLengthExceededError, ModelNotFoundError, UnsupportedInput
+from molto.types.normalized import (
+    AssistantInput,
+    NormalizedRequest,
+    PartEndEvent,
+    PartStartEvent,
+    TextOutput,
+    Thinking,
+    ToolCall,
+)
+from molto.types.openai_chat_completions import OpenAIChatCompletionsCreateRequest
+from molto.upstream.openai import OpenAIChatCompletionsClient
+from molto.upstream.together import TogetherAIChatCompletionsClient
+from molto.utils.io import read_yaml
+
+CAPABILITIES = PROVIDER_CAPABILITIES["togetherai"]
+CASSETTES = Path(__file__).parent / "cassettes" / "matched"
+
+
+def _chunk(delta, finish_reason=None):
+    return {
+        "id": "chatcmpl_synthetic",
+        "object": "chat.completion.chunk",
+        "created": 1,
+        "model": "synthetic",
+        "choices": [{"index": 0, "delta": delta, "finish_reason": finish_reason}],
+    }
+
+
+def _stream(*chunks):
+    return httpx.Response(
+        200,
+        text="".join(f"data: {dumps(chunk)}\n\n" for chunk in chunks) + "data: [DONE]\n\n",
+        headers={"content-type": "text/event-stream"},
+    )
+
+
+@pytest.mark.parametrize("stream", [False, True])
+@pytest.mark.parametrize("base_url", [None, "https://custom.example/prefix"])
+@pytest.mark.parametrize("explicit_key", [None, "explicit-together-key"])
+async def test_together_native_cassette_sdk_parity(monkeypatch, stream, base_url, explicit_key):
+    """Ensures native Together routing retains independent SDK-parsed matched fixture output."""
+    # These are existing OpenAI matched fixtures, not evidence of live Together support.
+    mode = "stream" if stream else "non_stream"
+    cassette = read_yaml(CASSETTES / "simple_text" / f"openai-chat_completions-{mode}-00.yaml")
+    expected_body = {**cassette["request"]["body"], "reasoning": {"enabled": False}}
+    monkeypatch.setattr(ENV_CONFIG, "together_ai_api_key", SecretStr("configured-together-key"))
+    key = explicit_key or "configured-together-key"
+    requests = []
+
+    def handler(request):
+        requests.append(request)
+        assert request.method == "POST"
+        assert str(request.url) == (base_url or "https://api.together.ai/v1") + "/chat/completions"
+        assert request.headers["authorization"] == f"Bearer {key}"
+        assert "openai-organization" not in request.headers
+        assert "openai-project" not in request.headers
+        assert loads(request.content) == expected_body
+        if stream:
+            return httpx.Response(
+                200,
+                text="".join(cassette["response"]["sse"]),
+                headers={"content-type": "text/event-stream", "x-provider": "together"},
+            )
+        return httpx.Response(200, json=cassette["response"]["body"])
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+        sdk = AsyncOpenAI(
+            api_key=key, base_url=base_url or "https://api.together.ai/v1", http_client=transport
+        )
+        expected = await sdk.chat.completions.create(
+            **cassette["request"]["body"], extra_body={"reasoning": {"enabled": False}}
+        )
+        if stream:
+            async with expected:
+                expected = [event.model_dump() async for event in expected]
+        else:
+            expected = expected.model_dump()
+        client = Molto(http_client=transport)
+        actual = await client.chat_completions(
+            body=cassette["request"]["body"],
+            provider="togetherai",
+            base_url=base_url,
+            api_key=explicit_key,
+            extra_body={"reasoning": {"enabled": False}},
+            extra_headers={"authorization": "Bearer unrelated", "openai-project": "unrelated"},
+        )
+        if stream:
+            assert actual.response_headers["x-provider"] == "together"
+            actual = [event.model_dump() async for event in actual]
+        else:
+            actual = actual.model_dump()
+        assert actual == expected
+    assert len(requests) == 2
+
+
+@pytest.mark.parametrize("stream", [False, True])
+@pytest.mark.parametrize("coordinator", ["responses", "chat_completions", "messages"])
+@pytest.mark.parametrize("api_key", [None, ""])
+async def test_missing_together_key_never_uses_openai_credentials(
+    monkeypatch, stream, coordinator, api_key
+):
+    """Ensures all downstream routes reject missing Together credentials before HTTP."""
+    monkeypatch.setattr(ENV_CONFIG, "together_ai_api_key", SecretStr(""))
+    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
+    monkeypatch.setenv("OPENAI_ADMIN_KEY", "unrelated-admin-key")
+    requests = []
+
+    def handler(request):
+        requests.append(request)
+        raise AssertionError("Missing credentials must fail locally")
+
+    body = {"model": "synthetic", "stream": stream}
+    if coordinator == "responses":
+        body["input"] = "Hello"
+    else:
+        body["messages"] = [{"role": "user", "content": "Hello"}]
+    if coordinator == "messages":
+        body["max_tokens"] = 32
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as client:
+        # Messages projects into Anthropic's namespace, the OpenAI interfaces into OpenAI's.
+        from anthropic import AuthenticationError as AnthropicAuthenticationError
+
+        error_class = (
+            AnthropicAuthenticationError if coordinator == "messages" else SDKAuthenticationError
+        )
+        with pytest.raises(error_class, match="TOGETHER_AI_API_KEY") as error:
+            await getattr(client, coordinator)(
+                body=body, endpoint="chat/completions", provider="togetherai", api_key=api_key
+            )
+        assert str(error.value.request.url) == "https://api.together.ai/v1/chat/completions"
+        assert isinstance(error.value.__cause__.__cause__, OpenAIError)
+    assert requests == []
+
+
+@pytest.mark.parametrize(
+    ("fields", "expected"),
+    [
+        ({"reasoning": "  first\n"}, ["  first\n"]),
+        ({"reasoning": ["", " second ", ""]}, ["", " second ", ""]),
+        ({"reasoning": []}, []),
+        ({"reasoning": ""}, [""]),
+        ({"reasoning": "", "reasoning_content": "other"}, ["other"]),
+        ({"reasoning": [], "reasoning_content": "other"}, ["other"]),
+        ({"reasoning": [""], "reasoning_content": ""}, [""]),
+    ],
+)
+def test_reasoning_alias_normalization_and_history(fields, expected):
+    """Ensures ordered reasoning blocks and empty boundaries survive normalized history."""
+    request = OpenAIChatCompletionsCreateRequest(
+        model="synthetic", messages=[{"role": "assistant", "content": None, **fields}]
+    )
+    normalized = OpenAIChatCompletionsAdapter(CAPABILITIES).normalize_request(request)
+    assert normalized.input == [
+        AssistantInput(content=[Thinking(content=part, summary="") for part in expected])
+    ]
+    body = TogetherAIChatCompletionsClient._request_body(normalized)
+    message = body["messages"][0]
+    assert message.get("reasoning") == ("\n".join(expected) if expected else None)
+    assert "reasoning_content" not in message
+    assert request.model_dump()["messages"][0] == {"role": "assistant", "content": None, **fields}
+
+
+@pytest.mark.parametrize("reasoning", ["one", [""]])
+def test_reasoning_alias_collision_is_rejected(reasoning):
+    """Ensures populated alternate representations never silently override each other."""
+    request = OpenAIChatCompletionsCreateRequest(
+        model="synthetic",
+        messages=[{"role": "assistant", "reasoning": reasoning, "reasoning_content": "two"}],
+    )
+    with pytest.raises(UnsupportedInput, match="both reasoning aliases"):
+        OpenAIChatCompletionsAdapter(CAPABILITIES).normalize_request(request)
+
+
+@pytest.mark.parametrize("following", [{"content": "\n\n"}, {"reasoning": " think "}])
+async def test_tool_lifecycle_closes_before_following_content(following):
+    """Ensures actual nonempty content finishes the preceding call before starting a new part."""
+    first = {
+        "index": 0,
+        "id": "call_1",
+        "type": "function",
+        "function": {"name": "lookup", "arguments": "{"},
+    }
+    chunks = [
+        _chunk({"tool_calls": [first]}),
+        _chunk(
+            {
+                "content": "",
+                "reasoning": "",
+                "tool_calls": [{"index": 0, "function": {"arguments": "}"}}],
+            }
+        ),
+        _chunk(following),
+        _chunk({}, "tool_calls"),
+    ]
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _stream(*chunks))
+    ) as transport:
+        client = TogetherAIChatCompletionsClient(
+            transport, capabilities=CAPABILITIES, api_key="test"
+        )
+        events = [
+            event
+            async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
+        ]
+    starts = [event for event in events if isinstance(event, PartStartEvent)]
+    ends = [event for event in events if isinstance(event, PartEndEvent)]
+    assert [event.index for event in starts] == [0, 1]
+    assert [event.index for event in ends] == [0, 1]
+    assert ends[0].part == ToolCall(tool_call_id="call_1", tool_name="lookup", args="{}")
+    assert events.index(ends[0]) < events.index(starts[1])
+    assert ends[1].part == (
+        TextOutput(content="\n\n")
+        if "content" in following
+        else Thinking(content=" think ", summary="")
+    )
+
+
+@pytest.mark.parametrize(
+    "following",
+    [
+        {"content": "text"},
+        {"reasoning": "think"},
+        {
+            "tool_calls": [
+                {"index": 1, "id": "call_2", "function": {"name": "second", "arguments": "{}"}}
+            ]
+        },
+    ],
+)
+async def test_closed_tool_call_cannot_resume(following):
+    """Ensures intervening text, reasoning, or another call makes later fragments fail explicitly."""
+    chunks = [
+        _chunk(
+            {
+                "tool_calls": [
+                    {"index": 0, "id": "call_1", "function": {"name": "first", "arguments": "{"}}
+                ]
+            }
+        ),
+        _chunk(following),
+        _chunk({"tool_calls": [{"index": 0, "function": {"arguments": "}"}}]}),
+        _chunk({}, "stop"),
+    ]
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _stream(*chunks))
+    ) as transport:
+        client = TogetherAIChatCompletionsClient(
+            transport, capabilities=CAPABILITIES, api_key="test"
+        )
+        with pytest.raises(ValueError, match="contiguous"):
+            [
+                event
+                async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
+            ]
+
+
+@pytest.mark.parametrize(
+    ("sdk_type", "body", "normalized_type"),
+    [
+        (
+            BadRequestError,
+            {
+                "message": "Input is longer than the model's context length",
+                "code": "invalid_request",
+            },
+            ContextLengthExceededError,
+        ),
+        (
+            APIStatusError,
+            {"message": "Unavailable", "code": "model_not_available"},
+            ModelNotFoundError,
+        ),
+    ],
+)
+def test_together_semantic_error_recognition_is_provider_specific(sdk_type, body, normalized_type):
+    """Ensures Together-only signals retain original SDK evidence without changing OpenAI classification."""
+    response = httpx.Response(
+        400,
+        json=body,
+        request=httpx.Request("POST", "https://api.together.ai/v1/chat/completions"),
+    )
+    original = sdk_type(body["message"], response=response, body=body)
+    client = TogetherAIChatCompletionsClient(None, capabilities=CAPABILITIES, api_key="test")
+    with pytest.raises(normalized_type) as error:
+        client._handle_error(original)
+    assert error.value.__cause__ is original
+    assert error.value.response is response
+    assert error.value.body == body
+    openai_client = OpenAIChatCompletionsClient(None, capabilities=CAPABILITIES, api_key="test")
+    with pytest.raises(sdk_type) as unchanged:
+        openai_client._handle_error(original)
+    assert unchanged.value is original
+
+
+@pytest.mark.parametrize("placement", ["message", "part", "call"])
+def test_translated_history_rejects_google_state(placement):
+    """Ensures opaque native continuation state is rejected instead of dropped in translation."""
+    message = {
+        "role": "assistant",
+        "content": [{"type": "text", "text": "hello"}],
+        "tool_calls": [
+            {"id": "call_1", "type": "function", "function": {"name": "lookup", "arguments": "{}"}}
+        ],
+    }
+    extension = {"google": {"thought_signature": "opaque"}}
+    target = (
+        message
+        if placement == "message"
+        else message["content"][0]
+        if placement == "part"
+        else message["tool_calls"][0]
+    )
+    target["extra_content"] = extension
+    original = deepcopy(message)
+    request = OpenAIChatCompletionsCreateRequest(model="synthetic", messages=[message])
+    with pytest.raises(UnsupportedInput, match="extra_content"):
+        OpenAIChatCompletionsAdapter(CAPABILITIES).normalize_request(request)
+    assert message == original
+
+
+@pytest.mark.parametrize("placement", ["message", "call"])
+@pytest.mark.parametrize("coordinator", ["responses", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_translated_output_rejects_google_state_and_closes(placement, coordinator, stream):
+    """Ensures unsupported output state fails explicitly and releases the upstream stream."""
+    delta = {
+        "tool_calls": [
+            {"index": 0, "id": "call_1", "function": {"name": "lookup", "arguments": "{}"}}
+        ]
+    }
+    target = delta if placement == "message" else delta["tool_calls"][0]
+    target["extra_content"] = {"google": {"thought_signature": "opaque"}}
+    responses = []
+
+    def handler(request):
+        response = _stream(_chunk(delta), _chunk({}, "tool_calls"))
+        responses.append(response)
+        return response
+
+    body = {"model": "synthetic", "stream": stream}
+    if coordinator == "responses":
+        body["input"] = "Hello"
+    else:
+        body.update(messages=[{"role": "user", "content": "Hello"}], max_tokens=32)
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as client:
+        with pytest.raises(ValueError, match="extra_content"):
+            result = await getattr(client, coordinator)(
+                body=body, endpoint="chat/completions", provider="togetherai", api_key="test"
+            )
+            if stream:
+                async with result:
+                    [event async for event in result]
+        assert responses[0].is_closed
+
+
+@pytest.mark.parametrize(
+    "part",
+    [
+        Thinking(content="", summary="summary"),
+        Thinking(content="", summary="", signature="opaque"),
+    ],
+)
+def test_chat_projection_rejects_nonportable_reasoning(part):
+    """Ensures Chat history never converts summaries or signatures into unsigned raw text."""
+    request = NormalizedRequest(model="synthetic", input=[AssistantInput(content=[part])])
+    for client in (OpenAIChatCompletionsClient, TogetherAIChatCompletionsClient):
+        with pytest.raises(UnsupportedInput, match="cannot represent"):
+            client._request_body(request)
+
+
+@pytest.mark.parametrize(
+    "error",
+    [
+        ValueError("is longer than the model's context length"),
+        OpenAIError("is longer than the model's context length"),
+    ],
+)
+def test_together_context_recognition_requires_sdk_bad_request(error):
+    """Ensures unrelated exception classes are never reclassified by a matching message."""
+    client = TogetherAIChatCompletionsClient(None, capabilities=CAPABILITIES, api_key="test")
+    with pytest.raises(type(error)) as result:
+        client._handle_error(error)
+    assert result.value is error
+
+
+async def test_generic_chat_missing_index_fails_instead_of_losing_call():
+    """Ensures unsupported missing indices cannot produce a successful empty translated response."""
+    chunk = _chunk(
+        {
+            "tool_calls": [
+                {"index": None, "id": "call_1", "function": {"name": "lookup", "arguments": "{}"}}
+            ]
+        }
+    )
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _stream(chunk, _chunk({}, "tool_calls")))
+    ) as transport:
+        client = OpenAIChatCompletionsClient(transport, capabilities=CAPABILITIES, api_key="test")
+        with pytest.raises(ValueError, match="require an index"):
+            [
+                event
+                async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
+            ]
+
+
+@pytest.mark.parametrize("coordinator", ["responses", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_together_alternative_reasoning_field_rejects_without_silent_loss(
+    coordinator, stream
+):
+    """Ensures a model using a different reasoning dialect cannot silently lose its reasoning."""
+    body = {"model": "synthetic", "stream": stream}
+    if coordinator == "responses":
+        body["input"] = "Hello"
+    else:
+        body.update(messages=[{"role": "user", "content": "Hello"}], max_tokens=32)
+    transport = httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: _stream(
+                _chunk({"reasoning_content": "actual alternate reasoning", "content": "Answer"}),
+                _chunk({}, "stop"),
+            )
+        )
+    )
+    async with Molto(http_client=transport) as client:
+        with pytest.raises(ValueError, match="reasoning_content.*reasoning.*dialect"):
+            result = await getattr(client, coordinator)(
+                body=body, endpoint="chat/completions", provider="togetherai", api_key="test"
+            )
+            if stream:
+                async with result:
+                    [event async for event in result]
+
+
+@pytest.mark.parametrize("coordinator", ["responses", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_recorded_together_qwen_alternate_dialect_fails_explicitly(coordinator, stream):
+    """Ensures the captured Qwen reasoning_content dialect fails without discarding reasoning."""
+    root = (
+        Path(__file__).parent
+        / "cassettes"
+        / "provider_recordings"
+        / "2026-11-03"
+        / "together-text-stream"
+    )
+    paths = list(root.glob("*.yaml"))
+    assert len(paths) == 1
+    cassette = read_yaml(paths[0])
+    recorded = cassette["request"]["body"]
+    responses = []
+
+    def handler(request):
+        response = httpx.Response(
+            200,
+            text="".join(cassette["response"]["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+        responses.append(response)
+        return response
+
+    # Parse the source independently first; the actual model emits the alternative key.
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+        sdk = AsyncOpenAI(api_key="test", http_client=transport)
+        native = await sdk.chat.completions.create(**recorded)
+        async with native:
+            events = [event async for event in native]
+    assert any(
+        getattr(choice.delta, "reasoning_content", None)
+        for event in events
+        for choice in event.choices
+    )
+    body = {"model": recorded["model"], "stream": stream}
+    if coordinator == "responses":
+        body.update(
+            input=[
+                {
+                    "role": message["role"],
+                    "content": [
+                        {"type": "input_text", "text": part["text"]} for part in message["content"]
+                    ],
+                }
+                for message in recorded["messages"]
+            ],
+            max_output_tokens=recorded["max_tokens"],
+        )
+    else:
+        body.update(messages=recorded["messages"], max_tokens=recorded["max_tokens"])
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as client:
+        with pytest.raises(ValueError, match="reasoning_content.*reasoning.*dialect"):
+            result = await getattr(client, coordinator)(
+                body=body, endpoint="chat/completions", provider="togetherai", api_key="test"
+            )
+            if stream:
+                async with result:
+                    [event async for event in result]
+        assert responses[-1].is_closed
diff --git a/tests/types/test_provider_history.py b/tests/types/test_provider_history.py
new file mode 100644
index 0000000..fb4257a
--- /dev/null
+++ b/tests/types/test_provider_history.py
@@ -0,0 +1,169 @@
+"""Synthetic provider history boundaries; these cases do not certify live models."""
+
+from copy import deepcopy
+
+import pytest
+from openai.types.chat import ChatCompletionMessage
+from openai.types.responses import ResponseReasoningItem
+from pydantic import ValidationError
+
+from molto.types.openai_chat_completions import OpenAIChatCompletionsCreateRequest
+from molto.types.openai_responses import OpenAIResponsesCreateRequest
+
+
+@pytest.mark.parametrize("reasoning", ["", "  Think\n", [], ["", "  Think\n", "\t", ""]])
+def test_assistant_reasoning_preserves_native_shape(reasoning):
+    """Ensures SDK output reasoning keeps its exact string or ordered array in history."""
+    message = ChatCompletionMessage.model_validate(
+        {"role": "assistant", "content": "Answer", "reasoning": reasoning}
+    ).model_dump(exclude_unset=True)
+    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+    expected = {"model": "model", "messages": [message]}
+    assert request.model_dump() == expected
+    assert request.model_dump() == expected
+
+
+@pytest.mark.parametrize("reasoning", [None, 1, {}, [1], [None], [["nested"]]])
+def test_assistant_reasoning_rejects_invalid_values(reasoning):
+    """Ensures the reasoning extension cannot accept nulls or non-string array elements."""
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(
+            model="model", messages=[{"role": "assistant", "reasoning": reasoning}]
+        )
+
+
+@pytest.mark.parametrize("role", ["user", "system", "developer", "tool"])
+def test_reasoning_remains_assistant_only(role):
+    """Ensures reasoning does not weaken validation for unrelated message roles."""
+    message = {"role": role, "content": "Text", "reasoning": "Thought"}
+    if role == "tool":
+        message["tool_call_id"] = "call_1"
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+
+
+@pytest.mark.parametrize(
+    "call",
+    [
+        {"id": "call_1", "type": "function", "function": {"name": "add", "arguments": '{"a":2}'}},
+        {"id": "call_2", "type": "custom", "custom": {"name": "code", "input": " x\n"}},
+    ],
+)
+def test_tool_history_is_eager_and_repeatable(call):
+    """Ensures function and custom calls survive repeated serialization without lazy iterators."""
+    message = {"role": "assistant", "content": None, "tool_calls": [call]}
+    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+    expected = {"model": "model", "messages": [message]}
+    assert request.model_dump(warnings="error") == expected
+    assert request.model_dump(warnings="error") == expected
+
+
+@pytest.mark.parametrize("kind", ["function", "custom"])
+@pytest.mark.parametrize(
+    "corruption",
+    ["index", "missing_id", "missing_name", "missing_payload", "extra", "nested_extra"],
+)
+def test_tool_history_rejects_corruption_at_construction(kind, corruption):
+    """Ensures malformed call history fails before transport instead of disappearing on dump."""
+    payload = "arguments" if kind == "function" else "input"
+    call = {"id": "call_1", "type": kind, kind: {"name": "tool", payload: "{}"}}
+    if corruption == "index":
+        call["index"] = 0
+    elif corruption == "missing_id":
+        del call["id"]
+    elif corruption == "missing_name":
+        del call[kind]["name"]
+    elif corruption == "missing_payload":
+        del call[kind][payload]
+    elif corruption == "extra":
+        call["unexpected"] = True
+    else:
+        call[kind]["unexpected"] = True
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(
+            model="model", messages=[{"role": "assistant", "tool_calls": [call]}]
+        )
+
+
+def google_state(value):
+    return {"google": {"thought_signature": value}}
+
+
+@pytest.mark.parametrize("role", ["user", "system", "developer", "assistant", "tool"])
+@pytest.mark.parametrize("parts", [False, True])
+def test_google_message_and_part_attachments_remain_independent(role, parts):
+    """Ensures opaque message and individual part values remain at their original attachments."""
+    message = {"role": role, "content": "Text", "extra_content": google_state(" message\n")}
+    if parts:
+        message["content"] = [
+            {"type": "text", "text": "First", "extra_content": google_state("part-1")},
+            {"type": "text", "text": "Second", "extra_content": google_state("part-2")},
+        ]
+    if role == "tool":
+        message["tool_call_id"] = "call_1"
+        message["extra_content"]["google"]["parts"] = [
+            {
+                "file_data": {
+                    "mime_type": "application/pdf",
+                    "display_name": "report",
+                    "file_uri": "gs://example/report.pdf",
+                }
+            }
+        ]
+    original = deepcopy(message)
+    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+    assert request.model_dump()["messages"] == [original]
+    assert request.model_dump()["messages"] == [original]
+    assert message == original
+
+
+def test_google_parallel_calls_preserve_distinct_opaque_state():
+    """Ensures each parallel call retains its own signature, identity and argument bytes."""
+    message = ChatCompletionMessage.model_validate(
+        {
+            "role": "assistant",
+            "content": None,
+            "extra_content": google_state("message"),
+            "tool_calls": [
+                {
+                    "id": f"call_{i}",
+                    "type": "function",
+                    "function": {"name": "add", "arguments": f'{{"a":{i}}}'},
+                    "extra_content": google_state(f"call-{i}"),
+                }
+                for i in range(2)
+            ],
+        }
+    ).model_dump(exclude_unset=True)
+    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+    assert request.model_dump(warnings="error")["messages"] == [message]
+    assert request.model_dump(warnings="error")["messages"] == [message]
+
+
+@pytest.mark.parametrize(
+    "extension", [{"other": {}}, {"google": {}, "other": {}}, {"google": "bad"}, None]
+)
+def test_google_extension_rejects_unknown_namespaces(extension):
+    """Ensures the extension is a narrow Google envelope rather than arbitrary request extras."""
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(
+            model="model",
+            messages=[{"role": "user", "content": "Text", "extra_content": extension}],
+        )
+
+
+def test_openrouter_reasoning_format_round_trips_sdk_history():
+    """Ensures SDK-retained reasoning format survives repeated native history serialization."""
+    item = ResponseReasoningItem.model_validate(
+        {
+            "id": "rs_1",
+            "type": "reasoning",
+            "summary": [],
+            "content": [{"type": "reasoning_text", "text": " Think\n"}],
+            "status": "completed",
+            "format": "unknown",
+        }
+    ).model_dump(exclude_unset=True)
+    request = OpenAIResponsesCreateRequest(model="model", input=[item])
+    assert request.model_dump()["input"] == [item]
+    assert request.model_dump()["input"] == [item]
diff --git a/tests/upstream/test_openai.py b/tests/upstream/test_openai.py
index e08b332..0be474c 100644
--- a/tests/upstream/test_openai.py
+++ b/tests/upstream/test_openai.py
@@ -511,10 +511,11 @@ def test_responses_client_rejects_message_identity_on_mixed_assistant_content(pa
 
 
 def test_chat_completions_client_remaps_parallel_image_result_after_tool_messages():
+    """Ensures parallel image results follow the complete call-linked tool result block."""
     request = NormalizedRequest(
         input=[
             UserInput(content=[TextInput(content="Call all tools.")]),
-            Thinking(content="", summary="I should call all tools in parallel."),
+            Thinking(content="I should call all tools in parallel.", summary=""),
             ToolCall(
                 tool_call_id="call_a",
                 tool_name="read_image",
@@ -706,7 +707,7 @@ def test_chat_completions_client_flushes_image_results_before_later_assistant_hi
     request = NormalizedRequest(
         input=[
             UserInput(content=[TextInput(content="Call both tools.")]),
-            Thinking(content="", summary="I should call both tools in parallel."),
+            Thinking(content="I should call both tools in parallel.", summary=""),
             ToolCall(
                 tool_call_id="call_a",
                 tool_name="read_image",
@@ -725,7 +726,7 @@ def test_chat_completions_client_flushes_image_results_before_later_assistant_hi
                 tool_call_id="call_b",
                 content=[TextInput(content="Text from b.txt")],
             ),
-            Thinking(content="", summary="Let me try again."),
+            Thinking(content="Let me try again.", summary=""),
             ToolCall(
                 tool_call_id="call_c",
                 tool_name="read_image",
diff --git a/tests/utils/test_test_utils.py b/tests/utils/test_test_utils.py
index bf8f171..4916b60 100644
--- a/tests/utils/test_test_utils.py
+++ b/tests/utils/test_test_utils.py
@@ -6,6 +6,8 @@
 
 from molto.utils.io import dumps_sse
 from molto.utils.test import (
+    assert_chat_choice_matches,
+    assert_chat_completions_chunks_match,
     assert_contains_expected,
     reconstructable_anthropic_event,
     reconstructable_chat_completions_chunks,
@@ -264,3 +266,276 @@ def test_reconstructable_responses_event_validates_event_and_request():
         reconstructable_responses_event(dumps_sse({"type": "invalid"}), {})
     with pytest.raises(ValidationError):
         reconstructable_responses_event(dumps_sse(event), {"invalid": True})
+
+
+@pytest.mark.parametrize("text", ["A thought", "\n\n"])
+def test_reconstructable_chat_completions_chunks_compare_provider_reasoning_aliases(text):
+    """Ensures provider reasoning aliases compare equal without hiding different text."""
+    choice = {"index": 0, "delta": {"reasoning_content": text}, "finish_reason": None}
+    expected = reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+    choice["delta"] = {"reasoning": text}
+    assert expected == reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+    choice["delta"] = {"reasoning": "Different thought"}
+    assert expected != reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+
+
+@pytest.mark.parametrize(
+    ("reasoning", "reasoning_content"),
+    [("Together", "OpenAI"), ("Thought", "Thought")],
+)
+def test_reconstructable_chat_completions_chunks_preserve_both_reasoning_fields(
+    reasoning, reasoning_content
+):
+    """Ensures simultaneous reasoning fields retain both values during comparison."""
+    delta = {"reasoning": reasoning, "reasoning_content": reasoning_content}
+    choice = {"index": 0, "delta": delta, "finish_reason": None}
+    result = reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+
+    assert result[0]["choices"][0]["delta"] == delta
+
+
+@pytest.mark.parametrize("text", ["Hello", "\n\n", ""])
+def test_reconstructable_chat_completions_chunks_preserve_duplicate_text(text):
+    """Ensures provider text remains available for independent consistency assertions."""
+    choice = {"index": 0, "delta": {"content": text}, "text": text, "finish_reason": None}
+    result = reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+
+    assert result[0]["choices"][0]["text"] == text
+
+
+@pytest.mark.parametrize(
+    "delta", [{"content": "Hello"}, {"content": "\n\n"}, {"content": None}, {}]
+)
+@pytest.mark.parametrize("text_sides", ["actual", "expected", "both"])
+def test_assert_chat_choice_matches_allows_consistent_duplicate_text(delta, text_sides):
+    """Ensures redundant text on either side is accepted without changing either choice."""
+    actual = {"index": 0, "delta": delta, "finish_reason": None}
+    expected = deepcopy(actual)
+    for side, choice in (("actual", actual), ("expected", expected)):
+        if text_sides in (side, "both"):
+            choice["text"] = delta.get("content") or ""
+    original = deepcopy((actual, expected))
+
+    assert_chat_choice_matches(actual, expected)
+
+    assert (actual, expected) == original
+
+
+@pytest.mark.parametrize("text", ["Wrong", "Hello ", None])
+@pytest.mark.parametrize("text_sides", ["actual", "expected", "both"])
+def test_assert_chat_choice_matches_rejects_contradictory_text(text, text_sides):
+    """Ensures even identical duplicated text cannot contradict the delta on either side."""
+    actual = {"index": 0, "delta": {"content": "Hello"}, "finish_reason": None}
+    expected = deepcopy(actual)
+    for side, choice in (("actual", actual), ("expected", expected)):
+        if text_sides in (side, "both"):
+            choice["text"] = text
+    original = deepcopy((actual, expected))
+
+    with pytest.raises(AssertionError):
+        assert_chat_choice_matches(actual, expected)
+
+    assert (actual, expected) == original
+
+
+@pytest.mark.parametrize(
+    ("field", "value"),
+    [
+        ("delta", {}),
+        ("delta", {"content": "Different"}),
+        ("delta", None),
+        ("index", 1),
+        ("finish_reason", "length"),
+        ("provider_extension", "unexpected"),
+        ("finish_reason", None),
+    ],
+)
+@pytest.mark.parametrize("swap", [False, True])
+def test_assert_chat_choice_matches_rejects_other_differences(field, value, swap):
+    """Ensures non-text fields must be present and equal in both choices."""
+    expected = {"index": 0, "delta": {"content": "Hello"}, "finish_reason": "stop"}
+    actual = {**expected, field: value}
+    if value is None:
+        del actual[field]
+    if swap:
+        actual, expected = expected, actual
+
+    with pytest.raises(AssertionError):
+        assert_chat_choice_matches(actual, expected)
+
+
+@pytest.mark.parametrize("both", [False, True])
+def test_assert_chat_completions_chunks_match_rejects_normalized_contradictory_text(both):
+    """Ensures reconstruction cannot hide contradictory text before parity comparison."""
+    choice = {"index": 0, "delta": {"content": "Hello"}, "finish_reason": None}
+    actual = reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[{**choice, "text": "Wrong"}], usage=None)), CHAT_BODY
+    )
+    if both:
+        choice["text"] = "Wrong"
+    expected = reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+
+    with pytest.raises(AssertionError):
+        assert_chat_completions_chunks_match(actual, expected)
+
+
+def test_assert_chat_completions_chunks_match_preserves_inputs():
+    """Ensures chunk comparison accepts redundant text without mutating nested payloads."""
+    choices = [{"index": 0, "delta": {"content": "Hello"}, "finish_reason": None}]
+    actual = [_chat_chunk(choices=choices, usage=None), _chat_chunk(choices=[], usage=None)]
+    expected = deepcopy(actual)
+    expected[0]["choices"][0]["text"] = "Hello"
+    original = deepcopy((actual, expected))
+
+    assert_chat_completions_chunks_match(actual, expected)
+
+    assert (actual, expected) == original
+
+
+@pytest.mark.parametrize(
+    "difference",
+    ["metadata", "extra_metadata", "chunk_count", "chunk_order", "choice_count", "choice_order"],
+)
+def test_assert_chat_completions_chunks_match_rejects_other_differences(difference):
+    """Ensures chunk metadata, counts, and chunk and choice ordering remain exact."""
+    choices = [
+        {"index": index, "delta": {"content": text}, "finish_reason": None}
+        for index, text in enumerate(["Hello", "World"])
+    ]
+    expected = [_chat_chunk(choices=choices, usage=None), _chat_chunk(choices=[], usage=None)]
+    actual = deepcopy(expected)
+    if difference == "metadata":
+        actual[0]["model"] = "different-model"
+    elif difference == "extra_metadata":
+        actual[0]["provider_extension"] = "unexpected"
+    elif difference == "chunk_count":
+        actual.pop()
+    elif difference == "chunk_order":
+        actual.reverse()
+    elif difference == "choice_count":
+        actual[0]["choices"].pop()
+    else:
+        actual[0]["choices"].reverse()
+
+    with pytest.raises(AssertionError):
+        assert_chat_completions_chunks_match(actual, expected)
+
+
+@pytest.mark.parametrize("placeholder", [None, ""])
+@pytest.mark.parametrize(
+    "delta",
+    [
+        {"role": "assistant"},
+        {"content": "Hello"},
+        {"reasoning_content": "A thought"},
+        {"reasoning": "A thought"},
+        {"tool_calls": [{"index": 0, "function": {"arguments": "{}"}}]},
+    ],
+)
+def test_reconstructable_chat_completions_chunks_normalize_optional_placeholders(
+    delta, placeholder
+):
+    """Ensures empty optional fields compare equally without changing populated deltas."""
+    delta = deepcopy(delta)
+    choice = {"index": 0, "delta": delta, "finish_reason": None}
+    chunk = _chat_chunk(choices=[choice], usage=None)
+    expected = reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
+
+    chunk.pop("usage")
+    for field in ("content", "reasoning", "reasoning_content", "refusal", "token_id"):
+        delta.setdefault(field, placeholder)
+    assert expected == reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
+
+
+@pytest.mark.parametrize(
+    ("field", "value"),
+    [
+        ("content", "\n\n"),
+        ("reasoning", "\n\n"),
+        ("reasoning_content", "\n\n"),
+        ("refusal", "Cannot comply"),
+        ("token_id", 42),
+        ("provider_extension", "unrecognized"),
+    ],
+)
+def test_reconstructable_chat_completions_chunks_preserve_populated_fields(field, value):
+    """Ensures placeholder normalization cannot conceal text or populated extensions."""
+    choice = {"index": 0, "delta": {}, "finish_reason": None}
+    chunk = _chat_chunk(choices=[choice], usage=None)
+    expected = reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
+
+    choice["delta"][field] = value
+    assert expected != reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
+
+
+def test_reconstructable_chat_completions_chunks_normalize_tool_continuation_placeholders():
+    """Ensures optional repeated tool fields normalize without hiding identity or arguments."""
+    tool = {"index": 0, "function": {"arguments": '{"path":'}}
+    choice = {"index": 0, "delta": {"tool_calls": [tool]}, "finish_reason": None}
+    chunk = _chat_chunk(choices=[choice], usage=None)
+    expected = reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
+
+    tool.update(id=None, type="function")
+    tool["function"]["name"] = None
+    assert expected == reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
+
+    for field, value in (("id", "new-call"), ("index", 1)):
+        changed = deepcopy(chunk)
+        changed["choices"][0]["delta"]["tool_calls"][0][field] = value
+        assert expected != reconstructable_chat_completions_chunks(dumps_sse(changed), CHAT_BODY)
+    for field, value in (("name", "another_function"), ("arguments", '"different"}')):
+        changed = deepcopy(chunk)
+        changed["choices"][0]["delta"]["tool_calls"][0]["function"][field] = value
+        assert expected != reconstructable_chat_completions_chunks(dumps_sse(changed), CHAT_BODY)
+
+
+@pytest.mark.parametrize("field", ["content", "reasoning", "tool_calls"])
+def test_reconstructable_chat_completions_chunks_preserve_delta_boundaries(field):
+    """Ensures equal final content cannot hide different observed text or tool chunks."""
+
+    def normalize(parts):
+        chunks = []
+        for part in parts:
+            value = (
+                [{"index": 0, "function": {"arguments": part}}] if field == "tool_calls" else part
+            )
+            choice = {"index": 0, "delta": {field: value}, "finish_reason": None}
+            chunks.extend(
+                reconstructable_chat_completions_chunks(
+                    dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+                )
+            )
+        return chunks
+
+    assert normalize(["Hello", " world"]) != normalize(["Hello world"])
+    assert normalize(["Hello", " world"]) != normalize(["Hell", "o world"])
+
+
+@pytest.mark.parametrize(
+    "fields", [("reasoning",), ("reasoning_content",), ("reasoning", "reasoning_content")]
+)
+@pytest.mark.parametrize("placeholder", [None, ""])
+def test_reconstructable_chat_completions_chunks_prune_terminal_reasoning_placeholders(
+    fields, placeholder
+):
+    """Ensures terminal empty or null reasoning aliases compare like absent fields."""
+    choice = {"index": 0, "delta": {}, "finish_reason": "stop"}
+    expected = reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )
+    choice["delta"] = dict.fromkeys(fields, placeholder)
+    assert expected == reconstructable_chat_completions_chunks(
+        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
+    )

From fc583f156f25d1cb24d39ae919752b653754c14d Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Wed, 4 Nov 2026 02:53:56 +0000
Subject: [PATCH 03/15] test: Preserve Fireworks native conversation evidence

---
 ...-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml |  309 +
 .../manifest.json                             |   49 +
 ...-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml |  102 +
 ...-01a1a476-e312-71e0-9b22-9a58d789b202.yaml |  109 +
 .../manifest.json                             |   51 +
 ...-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml |  693 ++
 ...-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml |  100 +
 .../manifest.json                             |   58 +
 ...-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml |  131 +
 ...-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml |   92 +
 .../manifest.json                             |   58 +
 ...-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml |  108 +
 ...-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml |  275 +
 .../manifest.json                             |   51 +
 ...-01a1a475-7863-7982-a05d-2252a0e53ebf.yaml |   67 +
 ...-01a1a475-7b06-7af3-b972-0d1561c84886.yaml |   76 +
 .../manifest.json                             |   51 +
 ...-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml | 7415 +++++++++++++++++
 .../manifest.json                             |   49 +
 ...-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml |   77 +
 ...-01a1a476-b50f-7b01-9566-1c22f6c460a3.yaml |   67 +
 .../manifest.json                             |   58 +
 ...-01a1a477-4273-7ed3-b9b3-9f43a1604326.yaml |  101 +
 ...-01a1a477-472f-7430-98ca-24fefd13231c.yaml |  113 +
 ...-01a1a477-4957-7921-b9f6-b3d13f697c06.yaml |  113 +
 .../manifest.json                             |   60 +
 ...-01a1a476-bfe7-7e23-af0e-2ea65e3b3ce5.yaml |   95 +
 ...-01a1a476-c317-74d2-a1b6-7976a0dc74d1.yaml |  108 +
 .../manifest.json                             |   58 +
 ...-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml |  706 ++
 ...-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml |   97 +
 .../manifest.json                             |   58 +
 ...-01a1a476-d38c-70c2-8495-add7a157ad85.yaml |  107 +
 ...-01a1a476-d58b-7601-b668-d1d89759ddee.yaml |   86 +
 .../manifest.json                             |   58 +
 ...-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml |   63 +
 ...-01a1a478-4bb4-7ca1-b96b-5de6f8bc1734.yaml |   73 +
 .../manifest.json                             |   51 +
 ...-01a1a478-4321-7d03-9d0a-cde0abf78b4e.yaml |   99 +
 ...-01a1a478-46c0-7dd2-99f7-90e04e730096.yaml |  113 +
 .../manifest.json                             |   51 +
 ...-01a1a479-2350-7fc0-856e-232fda3aa49a.yaml |  112 +
 ...-01a1a479-2ac3-71d1-8f35-fe4669784e94.yaml |  120 +
 .../manifest.json                             |   51 +
 44 files changed, 12539 insertions(+)
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-e312-71e0-9b22-9a58d789b202.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7863-7982-a05d-2252a0e53ebf.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7b06-7af3-b972-0d1561c84886.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b50f-7b01-9566-1c22f6c460a3.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/2026-11-04-01a1a477-4273-7ed3-b9b3-9f43a1604326.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/2026-11-04-01a1a477-472f-7430-98ca-24fefd13231c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/2026-11-04-01a1a477-4957-7921-b9f6-b3d13f697c06.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/2026-11-04-01a1a476-bfe7-7e23-af0e-2ea65e3b3ce5.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/2026-11-04-01a1a476-c317-74d2-a1b6-7976a0dc74d1.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-4bb4-7ca1-b96b-5de6f8bc1734.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-4321-7d03-9d0a-cde0abf78b4e.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-46c0-7dd2-99f7-90e04e730096.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/2026-11-04-01a1a479-2350-7fc0-856e-232fda3aa49a.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/2026-11-04-01a1a479-2ac3-71d1-8f35-fe4669784e94.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json

diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml
new file mode 100644
index 0000000..629b440
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml
@@ -0,0 +1,309 @@
+filename: 2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: false
+    tool_choice: required
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '532'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a477-5ea7-79d1-bddb-858d541bc97e
+response:
+  body:
+    choices:
+    - finish_reason: length
+      index: 0
+      message:
+        content: ''
+        reasoning_content: "We need to call add twice in parallel: first 2 and 3,\
+          \ and then 7 and 4.\n\n The system will execute two adds in parallel. Secretome\
+          \ scores. I need to output the sum of the two numbers, but I don't know\
+          \ the active verb phrase is make, does the phrase \"Wait until the TV will\
+          \ turn to …… I need to make sure you get on a ketubah. When a person is\
+          \ deceased or something like that. I think it a) just compute. I'm a class\
+          \ the system. Since I have to give a discount on the same cohort and is\
+          \ something that really need to be close to the user adds, especially the\
+          \ weak base that is taken out of the box for. The Great British Bake Off\
+          \ the decision memo. I just recall other bits not changing. care. out of\
+          \ the sectors (not the particles, no nausea I will, do the math. currently\
+          \ preparing the state. And since you want to set the new tones. The context\
+          \ could be the oil price and $8$ each. graph both families, lower the books\
+          \ that we can email now told. The second your income and install and OS).\
+          \ I am now going to the French cabbage sizes and clear of five years, a\
+          \ that topic would have boosts to actually I. German/Czech (rather than\
+          \ . C: is implied.)\n\nThe program will take a smell. I wanted to see what\
+          \ it but 15 parts that are open core types a master dataset that exists\
+          \ in someone—apparently scheduled. The.\"\n\n## Example 3: There's nothing.\
+          \ The based on the (the oil looks.115 > which is my head. Suite\nMongoDB\
+          \ doc that trigger is pulling an answer by the but the first 100 if: of\
+          \ them do I will start thing.\tid a.. without the ability to check the data\
+          \ to gunned down by apophyseal PMID: 99999\n> This problem as is the question,\
+          \ or something about \"my household looking for how likely to a show. I\
+          \ visit the totally restore the memorized 212 people have answers. Subject\
+          \ is in and in their potential. The interrupt. Ø IV.))\n> ]\" Also, don't\
+          \ worry, about for the better is still a liquidation, I found the EasyWrite\
+          \ and see how dark. } I must make the boy. Others: to the market This happens,\
+          \ will takes this decision to track down the total of the tub. A fraction\
+          \ in the textile and held the drinks. : 02. \n>\n> 2. Construction: 2014-10-07.\
+          \ 2: c w and.\n\nJonchesan is really one of the three patterns like the\
+          \ last step again. Southwest. Seekers, 2013, 2019/2020: and. The wire and\
+          \ selected to a blind management pays the metabolism of quicksand? However,\
+          \ the degree of the ownership of concerned was 32. Explore the C or 27,\
+          \ the Sun,.?.2 vol. The extent that we d33ar!!!. We can count the right\
+          \ to public.\nI'm going with 99d back to 54 and 16 of the required to hand.\
+          \ In practice. Share \\Midnight Love. with a single benefit from your designated\
+          \ as lacking. I. You also have. I'd just summarization is now. I think.\
+          \ has right. So the Math Commons garden plan. . . actually will pudent after\
+          \ a bit later. All the maker of the determinant 48 X 2014. Simply use the\
+          \ choice of a lot of 64 p. They run not have been added some day, the site\
+          \ now? The question,\nI need to say I will s a bane and then an unique assertion,\
+          \ the value sign will start of the same. Also 08: 98 to give Candle NameRange\
+          \ is the misclassification of the camp African American.\n\n4<, B\n\"> 3\
+          \ years getting five imports install one)\n Oh yeah. Land on a political\
+          \ could do it on … Mostronic 1 u with the default has an answer, I just\
+          \ flashed after all of the patient. think for. It should really good!\n\
+          Answer: 10 Money laundry? Still gets .3. 68.7m..funds [m1.0.C:25 September\
+          \ 2013. Al (Good News. A hit. the car bor and encounters that I need to\
+          \ an acceptable practice. The amount into the workplace. s w k. ь. №n...\
+          \ sometimes\nThese books like a L. But perhaps\n\nThe. The answer choice\
+          \ U.S. by the syntactic tree uses 689.212.8, the finalized t Here\n\nNow...\n\
+          think_21h,__  +, 1 (p{1,1 more all there when votes to. 700 syllables, sentences,?]\n\
+          \nBut it says the major mileage than N is 600 > On 24 May.. /.5816 2019\
+          \ I I I would. Avoid this will precede. as quickly and accurately must be\
+          \ treated the commands like.\n\nThe subprocess. In the form then. X_C| health\
+          \ (the paper contains a page for scamming my family know other side of text\
+          \ in. Cheaș (1), name '89. at a list of intensive especially dangerous and\
+          \ a evidence of a few . . A of quite a few hundred then mud. 4 K n 9962PUNITION:\
+          \ unvalidated?\n\nThus[2] = V? 17])\n The B km 8/x. usually answer: what\
+          \ is the member with genetic. The question: 10 X 2   zch giyuta a said (Answer:\
+          \ 9 , 27 2XC. the next to a firefighter.  The want a wave of the.\n$. Union:\
+          \ u and s #. U.S. You Tube_i:​an, the way u. control, and not light is domain\
+          \ for the broader were the main point is that a second. In the prime, long\
+          \ time had no need to ID.)\n\nThe best example, this is the matrixes based\
+          \ plain its past the connectivity. that.\n_________ ttimotion for queue,\
+          \ 20 percent They measure you're not real bug was not some . . systems (Answer:\
+          \ 16. Осмотр шахт Cpec 131 can at the battery, bright and explained above.\
+          \ an entire tree cable on first three {kill\", 28, would when I need to\
+          \ Aikea, as a yellow circuit capacity. Looking at her about ! Access data\
+          \ what that sound of mind rise. This stage and 2 in11, __ BOUD enough to.\
+          \ Oh and in the right is a single business school. The accepted in the tire\
+          \ give a word. Protein, The 9. But for this case, 2 × — 5 read. And there\
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+          \ so. Let's try 2: No but else? # First of which you can because easy. 5\
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+          \ so what's in this world. The. Likes be. but. \"Counts against 'Redundant\n\
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+          \ one of my same. I find the system: people.\n</pause>\n THe.. wasteful...\
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+          \ military of the most important.? this is a challenge is unlimited... All\
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+          \ in....\nThe \nfinite.l { measured 99.\n\nWhy did you do like a prohibited\
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+          \ it to. In that I'm trying to evaluate.\n\nComplementary idea now 2: pills\
+          \ in the radicalisation smb's sprinkler count. Wibbled is."
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json
new file mode 100644
index 0000000..084e1c1
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json
@@ -0,0 +1,49 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:50:48.491482+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
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+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": false,
+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "low"
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+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
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+      "status": "incomplete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "length",
+      "files": [
+        "2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 265, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 105, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/manifest.json
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index 0000000..b18e948
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/manifest.json
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml
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+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: true
+    stream_options:
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+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    both"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"\n\nLet"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"''s"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    call"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    add"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    with"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    a"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"="},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"2"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":",b"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"="},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"3"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    and"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    a"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"="},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"7"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":",b"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"="},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"4"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-84fa9d8d63879f56","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
+    "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"2,
+    \"b\": "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"id":"chatcmpl-tool-bd9480125a357801","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"{\"a\":
+    "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"7,
+    \"b\": "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"4}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-4275b6c1f3474242a0586aa30e0753cc","object":"chat.completion.chunk","created":1793760664,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":320,"total_tokens":470,"completion_tokens":150,"prompt_tokens_details":{"cached_tokens":319},"completion_tokens_details":{"reasoning_tokens":88},"output_tokens_details":{"reasoning_tokens":88}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:51:03.496992+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml
new file mode 100644
index 0000000..6108851
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml
@@ -0,0 +1,100 @@
+filename: 2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: 'We need to call add twice in parallel: first 2 and 3, then
+        7 and 4. Provide both results. So we need to call the function add twice.
+        Should we invoke them in parallel? In this interface, we can call multiple
+        functions. We''ll produce two calls. Then after getting results, output both
+        results.
+
+
+        Let''s call add with a=2,b=3 and a=7,b=4.'
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-84fa9d8d63879f56
+        type: function
+      - function:
+          arguments: '{"a": 7, "b": 4}'
+          name: add
+        id: chatcmpl-tool-bd9480125a357801
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-84fa9d8d63879f56
+    - content: '11'
+      role: tool
+      tool_call_id: chatcmpl-tool-bd9480125a357801
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1440'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a477-9b31-70b3-aaf0-9ff898adbcfe
+response:
+  body:
+    error:
+      code: invalid_request_error
+      message: '3 request validation errors: Extra inputs are not permitted, field:
+        ''messages[1].annotations'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].audio'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].function_call'', value: None'
+      object: error
+      type: invalid_request_error
+  body_bytes: !!binary |
+    eyJlcnJvciI6eyJvYmplY3QiOiJlcnJvciIsInR5cGUiOiJpbnZhbGlkX3JlcXVlc3RfZXJyb3Ii
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+    IHBlcm1pdHRlZCwgZmllbGQ6ICdtZXNzYWdlc1sxXS5hdWRpbycsIHZhbHVlOiBOb25lOyBFeHRy
+    YSBpbnB1dHMgYXJlIG5vdCBwZXJtaXR0ZWQsIGZpZWxkOiAnbWVzc2FnZXNbMV0uZnVuY3Rpb25f
+    Y2FsbCcsIHZhbHVlOiBOb25lIn19
+  headers:
+    connection: keep-alive
+    content-length: '363'
+    content-type: application/json
+    x-request-id: chatcmpl-a09bd19822b4480389083ffed3400825
+  status_code: 400
+timestamp: '2026-11-04T02:51:04.369800+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json
new file mode 100644
index 0000000..6235943
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json
@@ -0,0 +1,58 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:51:03.094829+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "incomplete",
+      "files": [
+        "2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "BadRequestError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml
new file mode 100644
index 0000000..ec24d9c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml
@@ -0,0 +1,131 @@
+filename: 2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: required
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
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+      type: function
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+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '572'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-ec39-7671-a8fb-4061dfbb4b58
+response:
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+  headers:
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+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:50:19.577914+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml
new file mode 100644
index 0000000..02298de
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml
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+filename: 2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      refusal: null
+      role: assistant
+      tool_calls:
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+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-bba285ff92439af3
+        type: function
+      - function:
+          arguments: '{"a": 7, "b": 4}'
+          name: add
+        id: chatcmpl-tool-9ac46bf09d696820
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-bba285ff92439af3
+    - content: '11'
+      role: tool
+      tool_call_id: chatcmpl-tool-9ac46bf09d696820
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
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+      type: function
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+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1082'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-eea4-7572-9379-3bf31d38fce3
+response:
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+        field: ''messages[1].audio'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].function_call'', value: None'
+      object: error
+      type: invalid_request_error
+  body_bytes: !!binary |
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json
new file mode 100644
index 0000000..d098a27
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json
@@ -0,0 +1,58 @@
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+  "captured_at": "2026-11-04T02:50:19.200528+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "none"
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+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml
new file mode 100644
index 0000000..bb39e17
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml
@@ -0,0 +1,108 @@
+filename: 2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '274'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-fa12-7953-bdd2-9f3bcb65f185
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: Blue lantern.
+        reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
+          \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - Instruction:\
+          \ \"Reply briefly.\"\n\n2.  **Identify Key Elements:**\n   - Key phrase:\
+          \ \"blue lantern\"\n   - Constraint: Reply briefly\n\n3.  **Determine Response:**\n\
+          \   - The user is asking me to \"remember\" the exact phrase \"blue lantern\"\
+          .\n   - This seems like a test of memory or just a prompt to acknowledge/repeat\
+          \ the phrase.\n   - Since they want me to \"remember\" it and reply briefly,\
+          \ I should just acknowledge/repeat the phrase concisely.\n   - Possible\
+          \ responses: \"Blue lantern.\" or \"I remember: blue lantern.\"\n   - Brief\
+          \ is key. I'll just output the phrase itself or a short confirmation.\n\n\
+          \   Let's keep it very brief: \"Blue lantern.\"\n   Or maybe: \"Understood:\
+          \ blue lantern.\"\n\n   Given the instruction \"Reply briefly.\", I'll just\
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+          \ is perfect. It's exact, brief, and acknowledges the phrase.\n\n   Wait,\
+          \ maybe they want me to \"remember\" it in the sense of recalling it. I'll\
+          \ just say the phrase.\n   I'll respond: \"Blue lantern.\"\n   Check constraints:\
+          \ exact phrase \"blue lantern\", reply briefly. ✅\n\n   Let's output just\
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+timestamp: '2026-11-04T02:50:23.122482+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml
new file mode 100644
index 0000000..f717f2b
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml
@@ -0,0 +1,275 @@
+filename: 2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content: Blue lantern.
+      reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
+        \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - Instruction:\
+        \ \"Reply briefly.\"\n\n2.  **Identify Key Elements:**\n   - Key phrase: \"\
+        blue lantern\"\n   - Constraint: Reply briefly\n\n3.  **Determine Response:**\n\
+        \   - The user is asking me to \"remember\" the exact phrase \"blue lantern\"\
+        .\n   - This seems like a test of memory or just a prompt to acknowledge/repeat\
+        \ the phrase.\n   - Since they want me to \"remember\" it and reply briefly,\
+        \ I should just acknowledge/repeat the phrase concisely.\n   - Possible responses:\
+        \ \"Blue lantern.\" or \"I remember: blue lantern.\"\n   - Brief is key. I'll\
+        \ just output the phrase itself or a short confirmation.\n\n   Let's keep\
+        \ it very brief: \"Blue lantern.\"\n   Or maybe: \"Understood: blue lantern.\"\
+        \n\n   Given the instruction \"Reply briefly.\", I'll just repeat the phrase\
+        \ or give a minimal acknowledgment. I think \"Blue lantern.\" is perfect.\
+        \ It's exact, brief, and acknowledges the phrase.\n\n   Wait, maybe they want\
+        \ me to \"remember\" it in the sense of recalling it. I'll just say the phrase.\n\
+        \   I'll respond: \"Blue lantern.\"\n   Check constraints: exact phrase \"\
+        blue lantern\", reply briefly. ✅\n\n   Let's output just that.✅"
+      role: assistant
+      tools: null
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1758'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-fe81-7120-8fc2-b68a69a8cf80
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: blue lantern
+        reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
+          \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - Then\
+          \ says: \"Reply briefly.\"\n   - Then says: \"Repeat the phrase exactly,\
+          \ preserving its spaces.\"\n\n2.  **Identify Key Requirements:**\n   - Repeat\
+          \ the phrase \"blue lantern\" exactly\n   - Preserve spaces\n   - Reply\
+          \ briefly\n\n3.  **Check the Phrase:**\n   - The input shows \"blue  lantern\"\
+          \ - wait, there might be two spaces? Let me check: \"blue  lantern\". Actually,\
+          \ it's written as \"blue  lantern\" in the prompt? Let me look carefully:\
+          \ \"Remember the exact phrase: blue  lantern.\" \n   - It says \"blue  lantern\"\
+          \ - there appear to be two spaces between \"blue\" and \"lantern\"? Or is\
+          \ it just \"blue lantern\" with normal spacing? The prompt says: `blue \
+          \ lantern`. In markdown/code contexts, sometimes double spaces appear. But\
+          \ typically, it's just \"blue lantern\".\n   - I need to preserve \"its\
+          \ spaces\". If the user typed \"blue  lantern\" (with two spaces), I should\
+          \ output that. But if it's just \"blue lantern\" with one space, I should\
+          \ output that.\n   - Let me look at the exact text: \"blue  lantern.\" It\
+          \ might be \"blue lantern\" with a trailing period? No, the phrase is \"\
+          blue  lantern\" and then a period ends the sentence.\n   - Actually, the\
+          \ user wrote: `Remember the exact phrase: blue  lantern.` \n   - The phrase\
+          \ itself is `blue  lantern`. There might be two spaces. I should respect\
+          \ that if that's what they want. But typically, users don't care about double\
+          \ spaces unless specified. However, they said \"preserving its spaces\"\
+          , which implies I should match the exact spacing in their input.\n   - Let\
+          \ me count: \"blue  lantern\" - between 'blue' and 'lantern' there are two\
+          \ spaces? In the prompt it renders as \"blue  lantern\". Sometimes it's\
+          \ just one space, but the markdown might not show it. I'll assume they want\
+          \ exactly what they wrote: \"blue  lantern\" with the spaces as present.\n\
+          \   - But wait, the instruction says: \"Repeat the phrase exactly, preserving\
+          \ its spaces.\" and \"Reply briefly.\"\n   - I'll output just the phrase\
+          \ with the spaces as they appear. To be safe, I'll output \"blue lantern\"\
+          \ (one space) or maybe \"blue  lantern\" (two spaces). Let me re-read carefully:\
+          \ \"Remember the exact phrase: blue  lantern.\" \n   - Actually, in many\
+          \ interfaces, a single space is standard. The double space might just be\
+          \ a typo or formatting. But the user explicitly said \"preserving its spaces\"\
+          . I'll output exactly \"blue lantern\" assuming one space, but if I'm not\
+          \ sure, I could output it as a code block or just the text.\n   - Let me\
+          \ think: The prompt says \"blue  lantern.\" The period is after lantern,\
+          \ not part of the phrase. The phrase is \"blue lantern\".\n   - I'll output:\
+          \ `blue lantern` (with one space) or maybe exactly as written. To be safe\
+          \ and brief, I'll just say \"blue lantern\". But they emphasized preserving\
+          \ spaces. I'll output \"blue  lantern\" if that's what they wrote. Actually,\
+          \ I can't be 100% sure of the space count from text alone. I'll assume standard\
+          \ one space, but I'll format it carefully.\n   - Wait, maybe the user wants\
+          \ me to just repeat the phrase \"blue lantern\" exactly. I'll output \"\
+          blue lantern\". If they meant two spaces, they'd probably note it, but \"\
+          preserving its spaces\" might just mean don't add/remove spaces, keep it\
+          \ as is.\n   - I'll just output: `blue lantern` (with a single space, as\
+          \ that's the natural phrase). But to strictly follow \"preserving its spaces\"\
+          , I'll output it exactly as: `blue lantern`. Actually, let me just output\
+          \ the phrase as is, maybe in quotes or plain text.\n   - I'll respond briefly:\
+          \ `blue lantern`. If there's a double space, it might render as one. I'll\
+          \ just do `blue lantern`.\n\n   Let me reconsider: The user wrote \"blue\
+          \  lantern\" with two spaces potentially. I'll output exactly `blue  lantern`\
+          \ to preserve spaces, but that might look odd. Alternatively, I can output\
+          \ `blue lantern` and note the space if needed, but they said \"Reply briefly.\"\
+          \n   - I think the safest brief output is just the phrase with the spaces\
+          \ as in the prompt. Since I'm an AI, I'll output `blue lantern` (one space)\
+          \ as it's the standard, but I'll keep it minimal.\n   - Actually, re-reading:\
+          \ \"Remember the exact phrase: blue  lantern.\" The period is at the end.\
+          \ The phrase is \"blue lantern\". I'll output `blue lantern`.\n\n   Wait,\
+          \ maybe they want me to just output the phrase exactly as a string. I'll\
+          \ output: `blue lantern`. To be precise about spaces, I'll output it as\
+          \ `blue lantern` (one space). If the prompt had two spaces, maybe I should\
+          \ too, but I can't display leading/trailing spaces easily without a code\
+          \ block. I'll just output `blue lantern`.\n\n   Let me just output: `blue\
+          \ lantern` briefly.\n   Actually, the instruction says: \"Repeat the phrase\
+          \ exactly, preserving its spaces.\" I'll output the phrase exactly as it\
+          \ appears in the prompt, which is \"blue lantern\". I'll just reply with\
+          \ that text.\n\n   Final decision: Output `blue lantern` (with one space,\
+          \ as that's the phrase). If they want the exact double space, they can clarify,\
+          \ but brief repetition is key.\n   I'll just say: `blue lantern`\n   But\
+          \ wait, maybe I should output it exactly with the spaces they had. I'll\
+          \ output `blue  lantern` (two spaces) to be safe? No, that's risky. I'll\
+          \ stick with `blue lantern`.\n   Actually, looking at the prompt again:\
+          \ \"Remember the exact phrase: blue  lantern.\" It's possible the user typed\
+          \ two spaces intentionally to test. I'll output `blue lantern` (one space)\
+          \ as it's the canonical phrase, but I'll keep it minimal.\n   Hmm, to be\
+          \ strictly correct, I'll output the phrase without overthinking the space\
+          \ count. I'll just output `blue lantern`.\n   Let me just output: `blue\
+          \ lantern`\n   Done.✅"
+        role: assistant
+        tools: null
+    created: 1793760624
+    id: chatcmpl-1f94eaa301b2436b9ca7066729267e37
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    object: chat.completion
+    usage:
+      completion_tokens: 1384
+      completion_tokens_details:
+        reasoning_tokens: 1379
+      output_tokens_details:
+        reasoning_tokens: 1379
+      prompt_tokens: 53
+      prompt_tokens_details:
+        cached_tokens: 52
+      total_tokens: 1437
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+    '
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+    '
+  - '
+
+    '
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+
+    '
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+
+    '
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+    good"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    happy"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    very"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    honest"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    to"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    be"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    don"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"''t"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    remember"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    red"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    branches"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    like"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    like"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    now"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    big"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    still"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"\n\nlab"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ish"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    ts"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    enc"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ount"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ence"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    который"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    is"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"৭"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":28,"total_tokens":1163,"completion_tokens":1135,"prompt_tokens_details":{"cached_tokens":27},"completion_tokens_details":{"reasoning_tokens":1132},"output_tokens_details":{"reasoning_tokens":1132}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:50:30.615349+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json
new file mode 100644
index 0000000..c58bfb0
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json
@@ -0,0 +1,49 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:50:30.151248+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 265, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 110, in validate_turn\n    raise ValueError(\"Provider did not return a final text answer.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml
new file mode 100644
index 0000000..da2b155
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml
@@ -0,0 +1,77 @@
+filename: 2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '314'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-b0fd-7190-95e4-a3f4758b86b6
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-f4e03457393148c7994e30d35de65ea0
+  sse:
+  - 'data: {"id":"chatcmpl-f4e03457393148c7994e30d35de65ea0","object":"chat.completion.chunk","created":1793760605,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-f4e03457393148c7994e30d35de65ea0","object":"chat.completion.chunk","created":1793760605,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"blue"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-f4e03457393148c7994e30d35de65ea0","object":"chat.completion.chunk","created":1793760605,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    lantern"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-f4e03457393148c7994e30d35de65ea0","object":"chat.completion.chunk","created":1793760605,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-f4e03457393148c7994e30d35de65ea0","object":"chat.completion.chunk","created":1793760605,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":28,"total_tokens":31,"completion_tokens":3,"prompt_tokens_details":{"cached_tokens":27},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:50:04.413570+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b50f-7b01-9566-1c22f6c460a3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b50f-7b01-9566-1c22f6c460a3.yaml
new file mode 100644
index 0000000..d10a299
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b50f-7b01-9566-1c22f6c460a3.yaml
@@ -0,0 +1,67 @@
+filename: 2026-11-04-01a1a476-b50f-7b01-9566-1c22f6c460a3
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - annotations: null
+      audio: null
+      content: blue lantern
+      function_call: null
+      refusal: null
+      role: assistant
+      tool_calls: null
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '575'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-b50f-7b01-9566-1c22f6c460a3
+response:
+  body:
+    error:
+      code: invalid_request_error
+      message: '3 request validation errors: Extra inputs are not permitted, field:
+        ''messages[1].annotations'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].audio'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].function_call'', value: None'
+      object: error
+      type: invalid_request_error
+  body_bytes: !!binary |
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/manifest.json
new file mode 100644
index 0000000..36fba17
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/manifest.json
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+{
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+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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+  "scenario": "text",
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+  "max_tokens": 2048,
+  "extra_body": {
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+  "turns": [
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+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
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+      ]
+    },
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+      "status": "incomplete",
+      "files": [
+        "2026-11-04-01a1a476-b50f-7b01-9566-1c22f6c460a3.yaml"
+      ]
+    }
+  ],
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+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/manifest.json
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+  "proxy_retries": 0,
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+      "finish_reason": "tool_calls",
+      "files": [
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+      ]
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+        "2026-11-04-01a1a477-472f-7430-98ca-24fefd13231c.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a477-4957-7921-b9f6-b3d13f697c06.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
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new file mode 100644
index 0000000..99c241d
--- /dev/null
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@@ -0,0 +1,95 @@
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index 0000000..e51d16d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/manifest.json
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+{
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+  "captured_at": "2026-11-04T02:50:07.869766+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
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+  "python": "3.12.9",
+  "source_hashes": {
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+    "httpx": "0.28.1"
+  },
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "none"
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+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
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+      "finish_reason": "tool_calls",
+      "files": [
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+      ]
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+      "status": "incomplete",
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+      ]
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+  "failure": {
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+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml
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@@ -0,0 +1,706 @@
+filename: 2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2
+request:
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+    messages:
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+    reasoning_effort: low
+    stream: true
+    stream_options:
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+    tool_choice:
+      function:
+        name: add
+      type: function
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+  path: /inference/v1/chat/completions
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+request_id: 01a1a477-52b4-7b73-9920-2d318f6724e2
+response:
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+  headers:
+    connection: keep-alive
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+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    from"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    first"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    call"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    So"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    we"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    need"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    to"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    call"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    function"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    add"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":","},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    get"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    output"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":","},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    then"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    second"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    call"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"\n\nPro"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ceed"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-a542898924b7323d","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
+    "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"2,
+    \"b\": "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-e6128c918bdf4810852c3d29ee8541b0","object":"chat.completion.chunk","created":1793760646,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":325,"total_tokens":451,"completion_tokens":126,"prompt_tokens_details":{"cached_tokens":324},"completion_tokens_details":{"reasoning_tokens":94},"output_tokens_details":{"reasoning_tokens":94}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:50:45.812309+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml
new file mode 100644
index 0000000..67d3e3f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml
@@ -0,0 +1,97 @@
+filename: 2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: 'We need to use the tool ''add'' twice: first add 2 and 3,
+        get result (5). Then add that result and 4, get 9. Provide final answer. Use
+        function calls.
+
+
+        We must call add with a=2,b=3. Then call add with a=result,b=4. Probably need
+        to capture result from first call. So we need to call function add, get output,
+        then second call.
+
+
+        Proceed.'
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-a542898924b7323d
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-a542898924b7323d
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1280'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a477-55fb-78e0-b10c-7a702b8a1e7c
+response:
+  body:
+    error:
+      code: invalid_request_error
+      message: '3 request validation errors: Extra inputs are not permitted, field:
+        ''messages[1].annotations'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].audio'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].function_call'', value: None'
+      object: error
+      type: invalid_request_error
+  body_bytes: !!binary |
+    eyJlcnJvciI6eyJvYmplY3QiOiJlcnJvciIsInR5cGUiOiJpbnZhbGlkX3JlcXVlc3RfZXJyb3Ii
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+    c3NhZ2VzWzFdLmFubm90YXRpb25zJywgdmFsdWU6IE5vbmU7IEV4dHJhIGlucHV0cyBhcmUgbm90
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+    YSBpbnB1dHMgYXJlIG5vdCBwZXJtaXR0ZWQsIGZpZWxkOiAnbWVzc2FnZXNbMV0uZnVuY3Rpb25f
+    Y2FsbCcsIHZhbHVlOiBOb25lIn19
+  headers:
+    connection: keep-alive
+    content-length: '363'
+    content-type: application/json
+    x-request-id: chatcmpl-f9db96e6f1134d38aae13247e162acc6
+  status_code: 400
+timestamp: '2026-11-04T02:50:46.651922+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json
new file mode 100644
index 0000000..70f7e2f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json
@@ -0,0 +1,58 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:50:45.448058+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "incomplete",
+      "files": [
+        "2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "BadRequestError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml
new file mode 100644
index 0000000..bb09d3b
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml
@@ -0,0 +1,107 @@
+filename: 2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '603'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-d38c-70c2-8495-add7a157ad85
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626
+  sse:
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-a10937ef2a4e6713","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
+    "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"2,
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-3cfb3d79ce9c4b79b44485d43a6a6626","object":"chat.completion.chunk","created":1793760613,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":325,"total_tokens":356,"completion_tokens":31,"prompt_tokens_details":{"cached_tokens":324},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:50:13.260476+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml
new file mode 100644
index 0000000..7732b6c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml
@@ -0,0 +1,86 @@
+filename: 2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-a10937ef2a4e6713
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-a10937ef2a4e6713
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '919'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a476-d58b-7601-b668-d1d89759ddee
+response:
+  body:
+    error:
+      code: invalid_request_error
+      message: '3 request validation errors: Extra inputs are not permitted, field:
+        ''messages[1].annotations'', value: None; Extra inputs are not permitted,
+        field: ''messages[1].audio'', value: None; Extra inputs are not permitted,
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json
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index 0000000..dc8651f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json
@@ -0,0 +1,58 @@
+{
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": {
+    "reasoning_effort": "none"
+  },
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+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "incomplete",
+      "files": [
+        "2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "BadRequestError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml
new file mode 100644
index 0000000..85b62f4
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+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml
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+filename: 2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: false
+    thinking:
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+    connection: keep-alive
+    content-length: '280'
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+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a478-49c6-7b22-83fa-42fbfc7006db
+response:
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+    - text: blue lantern
+      type: text
+    id: msg_f98ede7d7ecd8784ff9d1168
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new file mode 100644
index 0000000..5885831
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+      - text: ' exactly, preserving its spaces.'
+        type: text
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+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json
new file mode 100644
index 0000000..184ed95
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json
@@ -0,0 +1,51 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:51:49.008259+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
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+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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+      "finish_reason": "stop",
+      "files": [
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+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-4321-7d03-9d0a-cde0abf78b4e.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-4321-7d03-9d0a-cde0abf78b4e.yaml
new file mode 100644
index 0000000..46e0a0f
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+  method: POST
+  path: /inference/v1/responses
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+request_id: 01a1a478-4321-7d03-9d0a-cde0abf78b4e
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+  - 'data: {"type":"response.in_progress","sequence_number":1,"response":{"id":"resp_a7a5da5939d443bb8ccd933ffb2b6439","object":"response","created_at":1793760766,"status":"in_progress","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[],"previous_response_id":null,"usage":null,"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":2,"output_index":0,"item":{"type":"message","id":"msg_58e4d781c3324891bf487bde28670134","status":"in_progress","role":"assistant","content":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","sequence_number":3,"item_id":"msg_58e4d781c3324891bf487bde28670134","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":4,"item_id":"msg_58e4d781c3324891bf487bde28670134","output_index":0,"content_index":0,"delta":"blue","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":5,"item_id":"msg_58e4d781c3324891bf487bde28670134","output_index":0,"content_index":0,"delta":"
+    lantern","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":6,"item_id":"msg_58e4d781c3324891bf487bde28670134","output_index":0,"content_index":0,"text":"blue
+    lantern","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":7,"item_id":"msg_58e4d781c3324891bf487bde28670134","output_index":0,"content_index":0,"part":{"type":"output_text","text":"blue
+    lantern","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":8,"output_index":0,"item":{"type":"message","id":"msg_58e4d781c3324891bf487bde28670134","status":"completed","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[]}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":9,"response":{"id":"resp_a7a5da5939d443bb8ccd933ffb2b6439","object":"response","created_at":1793760767,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"msg_58e4d781c3324891bf487bde28670134","type":"message","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":54,"output_tokens":3,"total_tokens":57,"input_tokens_details":{"cached_tokens":27},"output_tokens_details":{"reasoning_tokens":0}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: null
+timestamp: '2026-11-04T02:52:46.659874+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json
new file mode 100644
index 0000000..4a1f92a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json
@@ -0,0 +1,51 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:52:44.141046+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "text",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a479-2350-7fc0-856e-232fda3aa49a.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a479-2ac3-71d1-8f35-fe4669784e94.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}

From ecdfc98eef48d24af5fa7901a742cfe1bc30878c Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Wed, 4 Nov 2026 02:59:28 +0000
Subject: [PATCH 04/15] test: Preserve complete Fireworks protocol recordings

---
 ...-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml |  109 +
 ...-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml |  116 +
 .../manifest.json                             |   52 +
 ...-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml |  370 ++
 .../manifest.json                             |   50 +
 ...-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml |  748 ++++
 ...-01a1a47c-346c-7483-8f3a-17d55838302c.yaml |  403 ++
 .../manifest.json                             |   52 +
 ...-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml |  131 +
 ...-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml |  177 +
 .../manifest.json                             |   52 +
 ...-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml | 1530 ++++++++
 ...-01a1a47a-ac99-7391-a044-022a9f624b77.yaml | 1582 ++++++++
 .../manifest.json                             |   52 +
 ...-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml |   77 +
 ...-01a1a47a-826d-77b2-8046-123914cf0922.yaml |   87 +
 .../manifest.json                             |   52 +
 ...-01a1a47a-d5b6-7543-beb5-9af5e98490b4.yaml |   95 +
 ...-01a1a47a-d886-7980-a009-264027938d46.yaml |  108 +
 ...-01a1a47a-dab9-75f3-8e42-3189fdc48f1c.yaml |  107 +
 .../manifest.json                             |   61 +
 ...-01a1a47a-b9d7-7040-b37d-00924ae57aa7.yaml |  322 ++
 ...-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml |  198 +
 ...-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml |  191 +
 .../manifest.json                             |   61 +
 ...-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml |  107 +
 ...-01a1a47a-8e31-7451-a622-87a9272a142c.yaml |  119 +
 ...-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml |  108 +
 .../manifest.json                             |   61 +
 ...-01a1a47a-d595-74a1-abc4-98ff40453f6c.yaml |   99 +
 ...-01a1a47a-d8e4-7cc0-a3da-78643e4ad50e.yaml |  117 +
 .../manifest.json                             |   51 +
 ...-01a1a47a-478c-7a32-ae37-a52c31a46f84.yaml |   90 +
 ...-01a1a47a-49e6-7250-999c-f8acca844f4e.yaml |  100 +
 .../manifest.json                             |   51 +
 ...-01a1a47c-3576-7950-a025-63d2fbb5f370.yaml |  993 +++++
 ...-01a1a47c-39e4-7340-9472-799eb74cb963.yaml |  644 ++++
 .../manifest.json                             |   51 +
 ...-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml | 3232 +++++++++++++++++
 .../manifest.json                             |   49 +
 ...-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml |  183 +
 ...-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml |  382 ++
 .../manifest.json                             |   51 +
 ...-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml |  110 +
 ...-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml |  149 +
 .../manifest.json                             |   51 +
 ...-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml |  342 ++
 .../manifest.json                             |   49 +
 ...-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml | 1678 +++++++++
 ...-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml | 2143 +++++++++++
 .../manifest.json                             |   51 +
 ...-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml |  120 +
 ...-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml |  122 +
 .../manifest.json                             |   51 +
 ...-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml |   91 +
 ...-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml |  104 +
 ...-01a1a47a-bb0e-76c2-9702-d3de266723dc.yaml |  116 +
 .../manifest.json                             |   60 +
 ...-01a1a479-3c39-72b3-9aed-d959ece2e626.yaml |   83 +
 ...-01a1a479-4072-76f0-8b91-7553ebc2f077.yaml |   96 +
 ...-01a1a479-4332-7e93-acd9-df0aa9e8d4af.yaml |  102 +
 .../manifest.json                             |   60 +
 ...-01a1a47a-c566-7002-b489-0dd75261b6b4.yaml |  451 +++
 ...-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml |  292 ++
 ...-01a1a47a-caa9-7a43-ba60-fbdb23b7b379.yaml |  307 ++
 .../manifest.json                             |   60 +
 ...-01a1a479-4dfe-7870-9a27-e8566466112a.yaml |  137 +
 ...-01a1a479-506b-72a2-9d32-8f01057c4051.yaml |  151 +
 ...-01a1a479-5214-7e12-a6f0-205bbb8e1154.yaml |  971 +++++
 .../manifest.json                             |   60 +
 ...-01a1a47b-92de-73e1-a74f-b0b214357872.yaml |  160 +
 ...-01a1a47b-9828-77a3-840c-5f4f7f4920f3.yaml |  176 +
 .../manifest.json                             |   51 +
 ...-01a1a479-66a6-7e01-bebc-bc8af91a976e.yaml |  138 +
 ...-01a1a479-6e72-7951-91b7-8eb3882713c0.yaml |  156 +
 .../manifest.json                             |   51 +
 ...-01a1a47b-a636-7410-9f39-41073b2078d7.yaml |  815 +++++
 ...-01a1a47b-afcf-7e10-9d3b-498a836bb2aa.yaml |  523 +++
 .../manifest.json                             |   51 +
 ...-01a1a479-7e00-7951-98ee-32573dd402c6.yaml |  158 +
 ...-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml |  698 ++++
 .../manifest.json                             |   51 +
 ...-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml |  179 +
 ...-01a1a47b-35ca-76c1-a237-161af4b2c5c6.yaml |  189 +
 .../manifest.json                             |   51 +
 ...-01a1a47b-4669-7640-b4de-a4f8b94f2e5e.yaml | 1871 ++++++++++
 ...-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml | 2216 +++++++++++
 .../manifest.json                             |   51 +
 ...-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml |  145 +
 ...-01a1a47b-671c-7d33-9661-484ceabc2c6e.yaml |  157 +
 ...-01a1a47b-6a55-7f62-a112-a9b245c85005.yaml |  169 +
 .../manifest.json                             |   60 +
 ...-01a1a479-3920-75e2-8891-7d59ab220d38.yaml |  134 +
 ...-01a1a479-3ca7-7e32-84aa-5ca8ec32ac30.yaml |  143 +
 ...-01a1a479-3f9b-7632-be50-6f95cb0f280b.yaml |  149 +
 .../manifest.json                             |   60 +
 ...-01a1a47b-780c-7f62-8647-e0bd1492ca07.yaml |  941 +++++
 ...-01a1a47b-8072-7743-8410-673ee5c6e5a1.yaml |  233 ++
 ...-01a1a47b-8380-79d3-875c-94f46a493788.yaml |  297 ++
 .../manifest.json                             |   60 +
 ...-01a1a479-4d46-7d13-b5b1-7a82e46888a3.yaml |  119 +
 ...-01a1a479-53a6-7053-adfb-bf546bf0e004.yaml |  128 +
 ...-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml |  192 +
 .../manifest.json                             |   60 +
 ...035e1e5b9653b992a66d8a91acfd2f6e00338e.txt |  318 ++
 ...72a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt |  315 ++
 ...83c5e0a876af460cb4e1008771006c9ef016a5.txt |  347 ++
 ...e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt |  334 ++
 ...4ef23f4355a7abf57afb3051d84970f3aa2c96.txt |  346 ++
 109 files changed, 33570 insertions(+)
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d5b6-7543-beb5-9af5e98490b4.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d886-7980-a009-264027938d46.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-dab9-75f3-8e42-3189fdc48f1c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-b9d7-7040-b37d-00924ae57aa7.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-nonstream-low/2026-11-04-01a1a47a-d595-74a1-abc4-98ff40453f6c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-nonstream-low/2026-11-04-01a1a47a-d8e4-7cc0-a3da-78643e4ad50e.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-nonstream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-nonstream-none/2026-11-04-01a1a47a-478c-7a32-ae37-a52c31a46f84.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-nonstream-none/2026-11-04-01a1a47a-49e6-7250-999c-f8acca844f4e.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-nonstream-none/manifest.json
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 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml
new file mode 100644
index 0000000..c2c18a9
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml
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+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: false
+    tool_choice: required
+    tools:
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+        name: add
+        parameters:
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+            b:
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+    connection: keep-alive
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+    user-agent: AsyncOpenAI/Python 2.53.0
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+  query_params: {}
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+    choices:
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+          The tool allows multiple invokes. We''ll output calls.'
+        role: assistant
+        tool_calls:
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+            name: add
+          id: chatcmpl-tool-b7aff231d20eaa8c
+          index: 0
+          name: null
+          type: function
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+            arguments: '{"a": 7, "b": 4}'
+            name: add
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+          index: 1
+          name: null
+          type: function
+        tools: null
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+    id: chatcmpl-fb97897c8f5a41a490accfc57b26923d
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+  headers:
+    connection: keep-alive
+    content-length: '1002'
+    content-type: application/json
+    x-request-id: chatcmpl-fb97897c8f5a41a490accfc57b26923d
+  status_code: 200
+timestamp: '2026-11-04T02:54:40.319668+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml
new file mode 100644
index 0000000..fa1e6d5
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml
@@ -0,0 +1,116 @@
+filename: 2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - content: ''
+      reasoning_content: 'We need to call add twice in parallel: first 2 and 3, then
+        7 and 4. Use function tool. Probably we can call both calls simultaneously.
+        The tool allows multiple invokes. We''ll output calls.'
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-b7aff231d20eaa8c
+        name: null
+        type: function
+      - function:
+          arguments: '{"a": 7, "b": 4}'
+          name: add
+        id: chatcmpl-tool-97688f275c14254e
+        name: null
+        type: function
+      tools: null
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-b7aff231d20eaa8c
+    - content: '11'
+      role: tool
+      tool_call_id: chatcmpl-tool-97688f275c14254e
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: false
+    tool_choice: none
+    tools:
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+    connection: keep-alive
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+    user-agent: AsyncOpenAI/Python 2.53.0
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+  query_params: {}
+request_id: 01a1a47a-ead8-78f1-89d3-c3e837fd1b25
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: 'Here are the results of the two parallel additions:
+
+
+          - **2 + 3 = 5**
+
+          - **7 + 4 = 11**'
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+        tools: null
+    created: 1793760882
+    id: chatcmpl-bd2d8da5569b42488e22136960c8676c
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    object: chat.completion
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+    content-type: application/json
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+  status_code: 200
+timestamp: '2026-11-04T02:54:41.368855+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/manifest.json
new file mode 100644
index 0000000..fdb69d2
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/manifest.json
@@ -0,0 +1,52 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:39.894147+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
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+  },
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": false,
+  "max_tokens": 4096,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "native-exclude-unset",
+  "turns": [
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+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
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+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml
new file mode 100644
index 0000000..850ce26
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml
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+filename: 2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
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+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: required
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
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+          type: object
+      type: function
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+    connection: keep-alive
+    content-length: '571'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-14c8e3d816e74473aab8b02ecb9a982e
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+
+    '
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+
+    '
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+
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+
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+
+    '
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+    \"b\": "}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-14c8e3d816e74473aab8b02ecb9a982e","object":"chat.completion.chunk","created":1793760873,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-14c8e3d816e74473aab8b02ecb9a982e","object":"chat.completion.chunk","created":1793760873,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-14c8e3d816e74473aab8b02ecb9a982e","object":"chat.completion.chunk","created":1793760873,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":320,"total_tokens":392,"completion_tokens":72,"prompt_tokens_details":{"cached_tokens":319},"completion_tokens_details":{"reasoning_tokens":40},"output_tokens_details":{"reasoning_tokens":40}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:33.037468+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json
new file mode 100644
index 0000000..68af52e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json
@@ -0,0 +1,50 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:32.635772+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 4096,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 278, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 113, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml
new file mode 100644
index 0000000..f21bb65
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml
@@ -0,0 +1,748 @@
+filename: 2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: required
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '571'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47c-2ff9-76b3-9cff-833284170f60
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-f2fb5f3b9b704edab6809278ed56f0d4
+  sse:
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
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+
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+
+    '
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+
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+  - '
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+
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+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-f2fb5f3b9b704edab6809278ed56f0d4","object":"chat.completion.chunk","created":1793760965,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
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+    '
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+
+    '
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+    '
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+    '
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+
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+
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+    '
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+    '
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+
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+
+    '
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+    '
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+
+    '
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+
+    '
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+
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+
+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-f2fb5f3b9b704edab6809278ed56f0d4","object":"chat.completion.chunk","created":1793760965,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:56:04.601991+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml
new file mode 100644
index 0000000..b014522
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml
@@ -0,0 +1,403 @@
+filename: 2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - content: null
+      reasoning_content: 'We need to call add twice in parallel: first 2 and 3, then
+        7 and 4. Use function calls. Provide both results. So we need to output two
+        calls perhaps simultaneously. The tool calls likely separate calls. Use the
+        format. We''ll produce two calls: add with a=2,b=3 and add with a=7,b=4. Then
+        after receiving results, give both results.
+
+
+        We need to produce calls. Use the function namespace.'
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-bb763d43250b2fed
+        type: function
+      - function:
+          arguments: '{"a": 7, "b": 4}'
+          name: add
+        id: chatcmpl-tool-a9cf5439dfe44505
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-bb763d43250b2fed
+    - content: '11'
+      role: tool
+      tool_call_id: chatcmpl-tool-a9cf5439dfe44505
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1439'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47c-346c-7483-8f3a-17d55838302c
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-a19b00efa4a545de93be32bf927e8469
+  sse:
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"4"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"1"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"1"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"**"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-a19b00efa4a545de93be32bf927e8469","object":"chat.completion.chunk","created":1793760966,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":225,"total_tokens":275,"completion_tokens":50,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":15},"output_tokens_details":{"reasoning_tokens":15}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:56:05.740670+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json
new file mode 100644
index 0000000..b6afd1f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json
@@ -0,0 +1,52 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:56:04.237421+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
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+  "python": "3.12.9",
+  "source_hashes": {
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+  },
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+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 4096,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml
new file mode 100644
index 0000000..2ab9cad
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml
@@ -0,0 +1,131 @@
+filename: 2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: required
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '572'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-9921-7552-b46b-c9c49cf6abed
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02
+  sse:
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-921f99d6e019ff4b","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"2,
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"id":"chatcmpl-tool-b109215635219d81","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"{\"a\":
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"7,
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":1,"function":{"arguments":"4}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-02e92d8deaa54ef6a47ac89a86c38f02","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":320,"total_tokens":381,"completion_tokens":61,"prompt_tokens_details":{"cached_tokens":319},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:20.449915+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml
new file mode 100644
index 0000000..9ce153d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml
@@ -0,0 +1,177 @@
+filename: 2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - content: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-921f99d6e019ff4b
+        type: function
+      - function:
+          arguments: '{"a": 7, "b": 4}'
+          name: add
+        id: chatcmpl-tool-b109215635219d81
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-921f99d6e019ff4b
+    - content: '11'
+      role: tool
+      tool_call_id: chatcmpl-tool-b109215635219d81
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: true
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1029'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-9c2b-7340-a69b-389acb2b7ad9
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-45e46c498d274a908656a573f3b95dff
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"The"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    two"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    are"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    **"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"5"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"**"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    and"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    **"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"1"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"1"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"**."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-45e46c498d274a908656a573f3b95dff","object":"chat.completion.chunk","created":1793760861,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":126,"total_tokens":139,"completion_tokens":13,"prompt_tokens_details":{"cached_tokens":125},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:21.227146+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json
new file mode 100644
index 0000000..b0b3567
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json
@@ -0,0 +1,52 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:20.023596+00:00",
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+  },
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 4096,
+  "extra_body": {
+    "reasoning_effort": "none"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml
new file mode 100644
index 0000000..08130fa
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml
@@ -0,0 +1,1530 @@
+filename: 2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '313'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-a537-7b81-83f1-390d28c8825c
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-cc204b1688a7477eb2b64919df038a12
+  sse:
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+    '
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+
+    '
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+    '
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+    '
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+    '
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+
+    '
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+    '
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+
+    '
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+
+    '
+  - 'data: {"id":"chatcmpl-cc204b1688a7477eb2b64919df038a12","object":"chat.completion.chunk","created":1793760864,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    lantern"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-cc204b1688a7477eb2b64919df038a12","object":"chat.completion.chunk","created":1793760864,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-cc204b1688a7477eb2b64919df038a12","object":"chat.completion.chunk","created":1793760864,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":28,"total_tokens":278,"completion_tokens":250,"prompt_tokens_details":{"cached_tokens":27},"completion_tokens_details":{"reasoning_tokens":245},"output_tokens_details":{"reasoning_tokens":245}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:23.543358+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml
new file mode 100644
index 0000000..da4a86c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml
@@ -0,0 +1,1582 @@
+filename: 2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content: blue lantern
+      reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
+        \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - User\
+        \ wants me to \"Reply briefly.\"\n   - The instruction is to remember/repeat\
+        \ the exact phrase provided.\n\n2.  **Identify Core Task:**\n   - The user\
+        \ is giving me a phrase: \"blue lantern\"\n   - They want me to reply briefly,\
+        \ likely by repeating or acknowledging that exact phrase.\n\n3.  **Formulate\
+        \ Response:**\n   - Since they said \"Remember the exact phrase: blue lantern\"\
+        , I should just output that exact phrase briefly.\n   - No extra fluff, no\
+        \ analysis, just the phrase as requested.\n\n   Possible response: \"blue\
+        \ lantern\"\n   Or maybe: \"Blue lantern.\" (matching case if important, but\
+        \ they wrote lowercase \"blue lantern\")\n   I'll stick exactly to what they\
+        \ wrote: \"blue lantern\"\n\n4.  **Check Constraints:**\n   - \"Reply briefly\"\
+        \ - done.\n   - \"Remember the exact phrase: blue lantern\" - I'll output\
+        \ that exact phrase.\n\n   Response: \"blue lantern\"✅\n   No extra text.\
+        \ Matches request.✅"
+      refusal: null
+      role: assistant
+      tool_calls: null
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1593'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-ac99-7391-a044-022a9f624b77
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-4b7074d203d74a189c8ce571bc0de7be
+  sse:
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+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:25.433483+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json
new file mode 100644
index 0000000..17441a0
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json
@@ -0,0 +1,52 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:23.185815+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
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+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
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+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": true,
+  "max_tokens": 4096,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml
new file mode 100644
index 0000000..87afef0
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml
@@ -0,0 +1,77 @@
+filename: 2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '314'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-7f62-7fc2-b85e-27eb3990c92c
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-24340f34a952460b94d9aedb7fc6ae83
+  sse:
+  - 'data: {"id":"chatcmpl-24340f34a952460b94d9aedb7fc6ae83","object":"chat.completion.chunk","created":1793760854,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-24340f34a952460b94d9aedb7fc6ae83","object":"chat.completion.chunk","created":1793760854,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"blue"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-24340f34a952460b94d9aedb7fc6ae83","object":"chat.completion.chunk","created":1793760854,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    lantern"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-24340f34a952460b94d9aedb7fc6ae83","object":"chat.completion.chunk","created":1793760854,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-24340f34a952460b94d9aedb7fc6ae83","object":"chat.completion.chunk","created":1793760854,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":28,"total_tokens":31,"completion_tokens":3,"prompt_tokens_details":{"cached_tokens":27},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:13.858499+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml
new file mode 100644
index 0000000..d939cf9
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml
@@ -0,0 +1,87 @@
+filename: 2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content: blue lantern
+      refusal: null
+      role: assistant
+      tool_calls: null
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '522'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-826d-77b2-8046-123914cf0922
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-d489505cc7c241de9bd5245fd64009a7
+  sse:
+  - 'data: {"id":"chatcmpl-d489505cc7c241de9bd5245fd64009a7","object":"chat.completion.chunk","created":1793760855,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-d489505cc7c241de9bd5245fd64009a7","object":"chat.completion.chunk","created":1793760855,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"blue"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-d489505cc7c241de9bd5245fd64009a7","object":"chat.completion.chunk","created":1793760855,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    lantern"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-d489505cc7c241de9bd5245fd64009a7","object":"chat.completion.chunk","created":1793760855,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-d489505cc7c241de9bd5245fd64009a7","object":"chat.completion.chunk","created":1793760855,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":52,"total_tokens":55,"completion_tokens":3,"prompt_tokens_details":{"cached_tokens":27},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:14.637445+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json
new file mode 100644
index 0000000..2f62330
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json
@@ -0,0 +1,52 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:13.423396+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
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+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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+  },
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+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": true,
+  "max_tokens": 4096,
+  "extra_body": {
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+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d5b6-7543-beb5-9af5e98490b4.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d5b6-7543-beb5-9af5e98490b4.yaml
new file mode 100644
index 0000000..55d306e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d5b6-7543-beb5-9af5e98490b4.yaml
@@ -0,0 +1,95 @@
+filename: 2026-11-04-01a1a47a-d5b6-7543-beb5-9af5e98490b4
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
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+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: false
+    tool_choice:
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+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
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+          properties:
+            a:
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+            b:
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+          required:
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+      type: function
+  headers:
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+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '564'
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+    user-agent: AsyncOpenAI/Python 2.53.0
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+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-d5b6-7543-beb5-9af5e98490b4
+response:
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+      index: 0
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+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d886-7980-a009-264027938d46.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/2026-11-04-01a1a47a-d886-7980-a009-264027938d46.yaml
new file mode 100644
index 0000000..1e5f96c
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@@ -0,0 +1,108 @@
+filename: 2026-11-04-01a1a47a-d886-7980-a009-264027938d46
+request:
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+    messages:
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+        and 4. Then give the final answer.
+      role: user
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+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-931cb541fcf0d2b9
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+      tools: null
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-931cb541fcf0d2b9
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+    reasoning_effort: none
+    stream: false
+    tool_choice:
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+      type: function
+    tools:
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+        name: add
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+          properties:
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+    accept-encoding: gzip, deflate, br
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+    connection: keep-alive
+    content-length: '835'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-d886-7980-a009-264027938d46
+response:
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+        role: assistant
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+    '
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+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-a8978763d6fbcf31","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"2,
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1467fa48d27a4fbdadeef1df629f167d","object":"chat.completion.chunk","created":1793760869,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":325,"total_tokens":393,"completion_tokens":68,"prompt_tokens_details":{"cached_tokens":324},"completion_tokens_details":{"reasoning_tokens":36},"output_tokens_details":{"reasoning_tokens":36}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:28.823950+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml
new file mode 100644
index 0000000..e6eb065
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml
@@ -0,0 +1,198 @@
+filename: 2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content: null
+      reasoning_content: We need to compute 2+3 = 5, then add that result (5) and
+        4 => 9. Use the add tool twice. Provide final answer.
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-a8978763d6fbcf31
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-a8978763d6fbcf31
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
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+        description: Add two integers.
+        name: add
+        parameters:
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+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '998'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-bd48-7562-9fd9-f60c63f02595
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140
+  sse:
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"Now"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
+    use"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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+
+    '
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+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"="},"finish_reason":null,"raw_output":null}],"usage":null}
+
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+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
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+
+    '
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+
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+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
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+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-881883f255f8833b","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
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+    '
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"4}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-dad7e30677fe44b2b8d6d7b1d48ca140","object":"chat.completion.chunk","created":1793760870,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":412,"total_tokens":456,"completion_tokens":44,"prompt_tokens_details":{"cached_tokens":324},"completion_tokens_details":{"reasoning_tokens":12},"output_tokens_details":{"reasoning_tokens":12}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:29.704655+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml
new file mode 100644
index 0000000..30ad480
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml
@@ -0,0 +1,191 @@
+filename: 2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content: null
+      reasoning_content: We need to compute 2+3 = 5, then add that result (5) and
+        4 => 9. Use the add tool twice. Provide final answer.
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-a8978763d6fbcf31
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-a8978763d6fbcf31
+    - content: null
+      reasoning_content: Now use add with a=5, b=4.
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 5, "b": 4}'
+          name: add
+        id: chatcmpl-tool-881883f255f8833b
+        type: function
+    - content: '9'
+      role: tool
+      tool_call_id: chatcmpl-tool-881883f255f8833b
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1271'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-c022-7a91-aeba-0e4a0b30a00a
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-761d8b9d71b34aa1bc0f79777eea717c
+  sse:
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+
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+
+    '
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+
+    '
+  - '
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+
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+    '
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+    '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"9"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"**."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-761d8b9d71b34aa1bc0f79777eea717c","object":"chat.completion.chunk","created":1793760871,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":196,"total_tokens":212,"completion_tokens":16,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":7},"output_tokens_details":{"reasoning_tokens":7}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:30.434538+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json
new file mode 100644
index 0000000..2260d44
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json
@@ -0,0 +1,61 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:28.455552+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
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+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
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+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": true,
+  "max_tokens": 4096,
+  "extra_body": {
+    "reasoning_effort": "low"
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-b9d7-7040-b37d-00924ae57aa7.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml
new file mode 100644
index 0000000..c03e01d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml
@@ -0,0 +1,107 @@
+filename: 2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '603'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-8c49-7ad0-929f-b5a91ac87fb1
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-692220a2c9f849d88c51ae2b3707e3b2
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-692220a2c9f849d88c51ae2b3707e3b2","object":"chat.completion.chunk","created":1793760857,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-924f398034e8d8c6","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-692220a2c9f849d88c51ae2b3707e3b2","object":"chat.completion.chunk","created":1793760857,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"a\":
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-692220a2c9f849d88c51ae2b3707e3b2","object":"chat.completion.chunk","created":1793760857,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"2,
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-692220a2c9f849d88c51ae2b3707e3b2","object":"chat.completion.chunk","created":1793760857,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"3}"}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-692220a2c9f849d88c51ae2b3707e3b2","object":"chat.completion.chunk","created":1793760857,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"tool_calls","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-692220a2c9f849d88c51ae2b3707e3b2","object":"chat.completion.chunk","created":1793760857,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":325,"total_tokens":356,"completion_tokens":31,"prompt_tokens_details":{"cached_tokens":324},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:17.161367+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml
new file mode 100644
index 0000000..b303cae
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml
@@ -0,0 +1,119 @@
+filename: 2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-924f398034e8d8c6
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-924f398034e8d8c6
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '866'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-8e31-7451-a622-87a9272a142c
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-9c0405d2560e400db4b9996a979b79d0
+  sse:
+  - 'data: {"id":"chatcmpl-9c0405d2560e400db4b9996a979b79d0","object":"chat.completion.chunk","created":1793760858,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-9c0405d2560e400db4b9996a979b79d0","object":"chat.completion.chunk","created":1793760858,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"id":"chatcmpl-tool-b431018cf8fce7fb","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
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+    '
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+
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+    '
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+    '
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+
+    '
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+    '
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+    '
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+
+    '
+  - 'data: {"id":"chatcmpl-9c0405d2560e400db4b9996a979b79d0","object":"chat.completion.chunk","created":1793760858,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":375,"total_tokens":406,"completion_tokens":31,"prompt_tokens_details":{"cached_tokens":374},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T02:54:17.649478+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml
new file mode 100644
index 0000000..3f3f7be
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml
@@ -0,0 +1,108 @@
+filename: 2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content: null
+      refusal: null
+      role: assistant
+      tool_calls:
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+          arguments: '{"a": 2, "b": 3}'
+          name: add
+        id: chatcmpl-tool-924f398034e8d8c6
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: chatcmpl-tool-924f398034e8d8c6
+    - content: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"a": 5, "b": 4}'
+          name: add
+        id: chatcmpl-tool-b431018cf8fce7fb
+        type: function
+    - content: '9'
+      role: tool
+      tool_call_id: chatcmpl-tool-b431018cf8fce7fb
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: none
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
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+            a:
+              type: integer
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+          required:
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+          type: object
+      type: function
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+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1090'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1a47a-8fe1-7b01-8283-9a6f9c274965
+response:
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+  headers:
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+    content-type: text/event-stream; charset=utf-8
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+
+    '
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+
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+
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+    '
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+
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+  - '
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+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"4","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" in","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" parallel","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" The","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" tool","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" probably","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" can","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" handle","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" multiple","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" calls","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" We","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"''ll","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" output","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" two","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" calls","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"\n\nWe","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" need","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" to","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" produce","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" a","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" JSON","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" with","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" function","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" calls","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" The","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" format","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":":","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"signature":"","type":"signature_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"chatcmpl-tool-b293e8fe5dd189b5","name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"{\"a\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"2, \"b\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"3}","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":2,"content_block":{"type":"tool_use","id":"chatcmpl-tool-ac5e6373df197b91","name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":2,"delta":{"partial_json":"{\"a\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":2,"delta":{"partial_json":"7, \"b\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":2,"delta":{"partial_json":"4}","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":2}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":154,"cache_creation_input_tokens":0,"cache_read_input_tokens":319}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:56:06.006335+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml
new file mode 100644
index 0000000..9823ddf
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml
@@ -0,0 +1,644 @@
+filename: 2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - content:
+      - signature: ''
+        thinking: 'We need to call add twice in parallel: first add 2+3, second add
+          7+4. Use the function tool. Probably need two separate calls. The user wants
+          both results. So we will call add with a=2,b=3 and a=7,b=4 in parallel.
+          The tool probably can handle multiple calls. We''ll output two calls.
+
+
+          We need to produce a JSON with function calls. The format:'
+        type: thinking
+      - caller: null
+        id: chatcmpl-tool-b293e8fe5dd189b5
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      - caller: null
+        id: chatcmpl-tool-ac5e6373df197b91
+        input:
+          a: 7
+          b: 4
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: chatcmpl-tool-b293e8fe5dd189b5
+        type: tool_result
+      - content: '11'
+        tool_use_id: chatcmpl-tool-ac5e6373df197b91
+        type: tool_result
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '1343'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47c-39e4-7340-9472-799eb74cb963
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 3e697828-a1d9-4ae2-aea7-1b4880907b3e
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_05f6a20a56ba84a1cb305c43","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"We","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" have","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" two","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" results","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":":","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" first","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" call","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" returned","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" 5","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":",","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" second","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" 1","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"1","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" Provide","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" both","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" results","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"signature":"","type":"signature_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"The","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" results","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" of","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" the","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" two","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" additions","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" are","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":":\n\n","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"1","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":".","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" **","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"2","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"+","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"3","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" =","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"5","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/manifest.json
new file mode 100644
index 0000000..0d161f0
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/manifest.json
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+{
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+  "captured_at": "2026-11-04T02:56:05.978304+00:00",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml
new file mode 100644
index 0000000..cdcdafc
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml
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+filename: 2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361
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+    content-type: application/json
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+  query_params: {}
+request_id: 01a1a47a-e5ce-74a2-adbc-852a849e9361
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+
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+
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+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"chatcmpl-tool-8ec7f5fc1304c97f","name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
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+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"{\"a\":
+    ","type":"input_json_delta"}}
+
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+
+    '
+  - 'event: content_block_delta
+
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+
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+
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+
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+
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+
+    '
+  - 'data: {"delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":415,"cache_creation_input_tokens":0,"cache_read_input_tokens":319}}
+
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+  - 'event: message_stop
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+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:54:40.078942+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/manifest.json
new file mode 100644
index 0000000..6092171
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/manifest.json
@@ -0,0 +1,49 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:40.055930+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "parallel",
+  "stream": true,
+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 238, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 113, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml
new file mode 100644
index 0000000..f63b8a7
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml
@@ -0,0 +1,183 @@
+filename: 2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: false
+      type: any
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '519'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-5468-75c2-83f8-6797d56276e8
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: f7fe10ee-6add-496f-98c7-ef491c195dc8
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_c10d7f5cbafaf17b207fb34e","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"chatcmpl-tool-bbd3bcdaa2aa0e13","name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"{\"a\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"2, \"b\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"3}","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"chatcmpl-tool-b0a7105a90a985af","name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"{\"a\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"7, \"b\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"4}","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":1}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":61,"cache_creation_input_tokens":0,"cache_read_input_tokens":319}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:54:02.856738+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml
new file mode 100644
index 0000000..79e6e0c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml
@@ -0,0 +1,382 @@
+filename: 2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    - content:
+      - caller: null
+        id: chatcmpl-tool-bbd3bcdaa2aa0e13
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      - caller: null
+        id: chatcmpl-tool-b0a7105a90a985af
+        input:
+          a: 7
+          b: 4
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: chatcmpl-tool-bbd3bcdaa2aa0e13
+        type: tool_result
+      - content: '11'
+        tool_use_id: chatcmpl-tool-b0a7105a90a985af
+        type: tool_result
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '930'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-58dd-7ae1-8be9-70f664e307e3
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 0a67416c-2056-4820-a54f-6c5be826445f
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_93b17a270e604ff3be371131","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"The","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" results","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" of","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" the","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" parallel","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" operations","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" are","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":":\n","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"-","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"2","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" +","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"3","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" =","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"5","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"\n","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"-","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"7","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" +","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"4","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" =","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"1","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"1","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":29,"cache_creation_input_tokens":0,"cache_read_input_tokens":125}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:54:03.997884+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/manifest.json
new file mode 100644
index 0000000..955cf8f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/manifest.json
@@ -0,0 +1,51 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:02.826485+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "parallel",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml
new file mode 100644
index 0000000..dc5603f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml
@@ -0,0 +1,110 @@
+filename: 2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '300'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb
+response:
+  body:
+    content:
+    - signature: ''
+      thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
+        \ says: \"Remember the exact phrase: blue lantern.\"\n   - Request: \"Reply\
+        \ briefly.\"\n   - Key elements: exact phrase \"blue lantern\", brief reply.\n\
+        \n2.  **Identify Core Task:**\n   - The user is asking me to \"remember\"\
+        \ or acknowledge the exact phrase \"blue lantern\".\n   - They want a brief\
+        \ reply.\n   - This seems like a simple confirmation or repetition task.\n\
+        \n3.  **Determine Response:**\n   - The phrase is \"blue lantern\".\n   -\
+        \ I need to reply briefly.\n   - I should just confirm or repeat the phrase\
+        \ as requested, keeping it short.\n   - Possible replies: \"Blue lantern.\"\
+        \ or \"I remember: blue lantern.\" or just the phrase itself.\n   - Since\
+        \ they said \"Remember the exact phrase: blue lantern.\" and \"Reply briefly.\"\
+        , the most direct brief reply is just the phrase, or a short confirmation.\n\
+        \n   Let's keep it minimal: \"Blue lantern.\" or \"Remembered: blue lantern.\"\
+        \n   I'll go with just the phrase as a brief reply, or a very short confirmation.\
+        \ Actually, the instruction is \"Remember the exact phrase: blue lantern.\
+        \ Reply briefly.\" So I should output the phrase briefly. I'll just say: \"\
+        Blue lantern.\"\n\n   Wait, maybe they want me to output the phrase exactly\
+        \ as given. I'll just reply with the phrase.\n   \"Blue lantern.\" is perfect.\
+        \ It's brief and exact.\n   I'll output that.✅"
+      type: thinking
+    - text: Blue lantern.
+      type: text
+    id: msg_8e3d9603b4e5ff3db308f384
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    role: assistant
+    stop_details: null
+    stop_reason: end_turn
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: 0
+      cache_read_input_tokens: 27
+      inference_geo: null
+      input_tokens: 1
+      output_tokens: 323
+      service_tier: null
+  body_bytes: !!binary |
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml
new file mode 100644
index 0000000..8ae6ff2
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+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml
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+filename: 2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2
+request:
+  body:
+    max_tokens: 4096
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content:
+      - signature: ''
+        thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   -\
+          \ User says: \"Remember the exact phrase: blue lantern.\"\n   - Request:\
+          \ \"Reply briefly.\"\n   - Key elements: exact phrase \"blue lantern\",\
+          \ brief reply.\n\n2.  **Identify Core Task:**\n   - The user is asking me\
+          \ to \"remember\" or acknowledge the exact phrase \"blue lantern\".\n  \
+          \ - They want a brief reply.\n   - This seems like a simple confirmation\
+          \ or repetition task.\n\n3.  **Determine Response:**\n   - The phrase is\
+          \ \"blue lantern\".\n   - I need to reply briefly.\n   - I should just confirm\
+          \ or repeat the phrase as requested, keeping it short.\n   - Possible replies:\
+          \ \"Blue lantern.\" or \"I remember: blue lantern.\" or just the phrase\
+          \ itself.\n   - Since they said \"Remember the exact phrase: blue lantern.\"\
+          \ and \"Reply briefly.\", the most direct brief reply is just the phrase,\
+          \ or a short confirmation.\n\n   Let's keep it minimal: \"Blue lantern.\"\
+          \ or \"Remembered: blue lantern.\"\n   I'll go with just the phrase as a\
+          \ brief reply, or a very short confirmation. Actually, the instruction is\
+          \ \"Remember the exact phrase: blue lantern. Reply briefly.\" So I should\
+          \ output the phrase briefly. I'll just say: \"Blue lantern.\"\n\n   Wait,\
+          \ maybe they want me to output the phrase exactly as given. I'll just reply\
+          \ with the phrase.\n   \"Blue lantern.\" is perfect. It's brief and exact.\n\
+          \   I'll output that.✅"
+        type: thinking
+      - text: Blue lantern.
+        type: text
+      role: assistant
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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+request_id: 01a1a47c-39dd-7be2-8e87-e59610c331d2
+response:
+  body:
+    content:
+    - signature: ''
+      thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
+        \ says: \"Remember the exact phrase: blue lantern.\"\n   - Then says: \"Reply\
+        \ briefly.\"\n   - Then says: \"Repeat the phrase exactly, preserving its\
+        \ spaces.\"\n   - Actually, looking at the full message: \"Remember the exact\
+        \ phrase: blue lantern. Reply briefly. Repeat the phrase exactly, preserving\
+        \ its spaces.\"\n\n   Wait, let me re-read carefully. The user's message is:\
+        \ \"Remember the exact phrase: blue lantern.\nReply briefly.\nRepeat the phrase\
+        \ exactly, preserving its spaces.\"\n\n   Actually, it might be structured\
+        \ as:\n   - First line: \"Remember the exact phrase: blue lantern.\"\n   -\
+        \ Second line: \"Reply briefly.\"\n   - Third line: \"Repeat the phrase exactly,\
+        \ preserving its spaces.\"\n\n   But often users paste things like:\n   \"\
+        Remember the exact phrase: blue lantern. Reply briefly. Repeat the phrase\
+        \ exactly, preserving its spaces.\"\n\n   I need to output just the phrase\
+        \ \"blue lantern\" preserving spaces, briefly.\n\n   Let me check: The prompt\
+        \ says \"Remember the exact phrase: blue lantern.\" Then \"Reply briefly.\"\
+        \ Then \"Repeat the phrase exactly, preserving its spaces.\"\n\n   The core\
+        \ request seems to be: output \"blue lantern\" exactly, with a space, briefly.\n\
+        \n   I'll just output: \"blue lantern\"\n\n   But wait, maybe they want me\
+        \ to repeat the phrase \"blue lantern\" exactly as given, with the space.\
+        \ I'll just do that.\n\n   Let's output precisely: \"blue lantern\" (with\
+        \ a space between blue and lantern, no extra spaces or formatting).\n\n  \
+        \ I'll keep it brief as requested.✅"
+      type: thinking
+    - text: blue lantern
+      type: text
+    id: msg_e66f8b1c24372e375d859aa5
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    role: assistant
+    stop_details: null
+    stop_reason: end_turn
+    stop_sequence: null
+    type: message
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/manifest.json
new file mode 100644
index 0000000..c3a0ad3
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/manifest.json
@@ -0,0 +1,51 @@
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+  "provider": "fireworks",
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+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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+      "files": [
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+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml
new file mode 100644
index 0000000..775e878
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+filename: 2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: false
+    thinking:
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+      type: enabled
+  headers:
+    accept: application/json
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+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
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+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-64f4-7ec1-add4-de4bfb1d6c66
+response:
+  body:
+    content:
+    - signature: ''
+      thinking: "Here's a thinking process:\n\n1.  **Analyze the Request: The user\
+        \ wants me to recall the exact phrase \"blue lantern\". The user is asking\
+        \ me to \"Recall the exact phrase \"blue  lantern\".\n2. The user says \"\
+        Remember, the phrase is \"blue lantern.\" and \"Remember the exact phrase:\
+        \ blue lantern. I'm not sure if there's any trick. \" The \"exact phrase\"\
+        \ part might mean that they want me to recall a memory, or a specific memory\
+        \ or a saying or saying or something like that.  Looking at the \"blue lantern\"\
+        , but they want \"the exact phrase**.\nWhat is the user's instruction \"Reply\
+        \ briefly. \" I'm not familiar with. I know that it isn't a phrase of that\
+        \ phrase, but I have known phrase. Or possibly it's a phrase associated. I\
+        \ recall that there's a blue lantern meaning or some phrase related to it.\
+        \ It's simply a recall of an exact phrase \"blue lantern.\nThe user is asking\
+        \ me to \"Remember the exact phrase. Reply briefly. or a phrase from a movie\
+        \ or a lyric or saying. Or some phrase.\n\nI have \"the exact phrase\" blue\
+        \ lantern.\"\n\nNot any exact phrase.\nI need to give the phrase \"blue lantern\"\
+        . I'm not sure if that is the case. The phrase \"blue lantern\" is not a phrase\
+        \ that comes to mind.\n\nThen I'm trying to remember the phrase \"blue lantern.\
+        \ There are a few expressions. The phrase \"blue lantern.\nThe phrase \"blue\
+        \ lantern might refer to the specific meaning of the phrase \"blue lantern\"\
+        .\nThe phrase \"the blue lantern. Let me re-read the question. The user wants\
+        \ me to recall the exact phrase. I must. The phrase appears in the context\
+        \ of something? It's used in the phrase \"blue lantern might not recall.\n\
+        \nWait, the user might be\nThe user wants me to Recall the exact phrase, but\
+        \ is that a phrase? \"blue lantern\" and I am not entirely recall the phrase.\
+        \ I'm not sure what that phrase is used as \"the blue lamp\".\nLooking at\
+        \ the phrase \"blue lantern\". The user. I can also recall the exact phrase\
+        \ associated with \"blue lantern\", I am not recall an exact phrase. \"a blue\
+        \ lantern\".\nThe phrase \" blue lantern. \". The user wants me to remember\
+        \ the exact phrase. I don't know the exact phrase?\n\nThere is a phrase \"\
+        blue lantern\".\n\nBut the phrase \"blue lantern\".\nI have known phrase \"\
+        blue lantern. \"blue lantern.\nThe phrase that comes to my mind, \"blue lanterns.\
+        \ It's a phrase. The phrase \"blue lantern\". Not sure.\n\nOkay, the phrase.\
+        \ There's also \"the Blue Lantern\" from Green Lantern (the phrase blue lantern.\
+        \ Is it from the phrase \"blue lantern\".\n\nLet me think of the phrase \"\
+        blue lantern\". I don't have an exact phrase associated with \"blue lantern.\
+        \  \" recalled.\n\nI'm not recalling any phrase, but that phrase is used.\n\
+        \nI don't recall the phrase \" blue lantern\". Given that the phrase \"blue\
+        \ lantern\"? This is a phrase that means something. The user is asking me\
+        \ to remember the exact phrase.\nIn my training, I might suggest other uses.\
+        \ The phrase \"blue lantern. When you think of. The user is asking me to recall\
+        \ a phrase \"blue lantern.\n\"What is it a phrase that's used in certain context?\
+        \ The phrase \"blue lantern.\n\n\"blue lantern.\nPerhaps the user is probably\
+        \ from the game \"Blue Lantern\" might refer to an \"blue lantern\".\n\nWhat\
+        \ phrase? the phrase \"blue lantern\" from the phrase \"blue lantern. I'm\
+        \ not familiar. It is associated with. The user is asking me to recall \"\
+        blue lantern\". \"Blue lantern\".\n\nI have never been used in this context.\
+        \ This phrase in a while ago.\n\nIf you think of a phrase. It could be a phrase.\n\
+        \nBut I have. The user's.\n\nWait, the phrase \"blue lantern\". Probably some\
+        \ sort.\n\nI'll tell you I have a phrase \"blue lantern\". I know, the phrase\
+        \ \"blue lantern. \"Recall the exact phrase \"blue lantern. I'm pretty sure\
+        \ this is an idiom.\n\nI'm not certain.\n\nPerhaps \"blue lantern.\n\nDo you\
+        \ know the exact phrase \"blue lantern\" as a phrase? The phrase \"the exact\
+        \ phrase \"blue lantern.  The phrase \"blue lantern\". The phrase \"blue lantern\"\
+        \ might be a phrase. The phrase is the phrase \"blue lantern\"? Maybe.\n\n\
+        Perhaps it's a phrase I recall. The phrase \"blue lantern, \"blue lantern.\
+        \ It's used in a certain phrase.\n\nWhat phrase does not recall.\n\"blue lantern\"\
+        . I have a phrase \"blue lantern. I have no specific phrase. The user is looking\
+        \ for some phrase. I'm not sure. Maybe it's used in the phrase \"blue lantern.\
+        \ That's all.\n\nI have exactly that. The phrase \"the exact phrase\". This\
+        \ is a phrase. The phrase \"blue lantern - used in the phrase \"blue lantern.\
+        \ The phrase \"blue lantern\" might be in the phrase \"blue lantern. the phrase\
+        \ \"the blue lantern\". \"I've heard \"the blue lantern. \"Blue lantern\"\
+        .\n\nWhat phrase is \"blue lantern\". The user says \"Remember the exact phrase.\
+        \ But I've seen \"blue lantern\". There is a phrase \"blue lantern\". The\
+        \ user is asking me to \"Remember the exact phrase: \"blue lantern.\" So I\
+        \ need to recall the phrase \"blue lantern\"? There's a phrase \"blue lantern.\
+        \ The phrase is used.\n\nHowever, the phrase \"blue lantern, but the phrase\
+        \ \"blue lantern. Maybe you. The user wants me to recall the phrase \"blue\
+        \ lantern\".\n\nMaybe it's a phrase.  1.  \"Remember the exact phrase: \"\
+        blue lantern\". The phrase. I have no idea. The phrase is used in a poem by\
+        \ Rumi. \"blue lantern\" could be a phrase that comes to the phrase \"blue\
+        \ lantern. I'm not recall a phrase. The phrase is often used in and other\
+        \ instances. The phrase \"blue lantern. The phrase \"blue lantern. Maybe not\
+        \ remember the exact phrase. I'm not the phrase \"blue lantern\" is it. The\
+        \ phrase \"blue lantern\". Perhaps the user might be in the phrase \"blue\
+        \ lantern. It could be a phrase.\n\nMaybe the phrase \"blue lantern.  \" the\
+        \ phrase.\n\nWait, the phrase \"blue lantern. \"the phrase\".\n\nLet me check\
+        \ my knowledge? The phrase \"blue lantern. The phrase \"blue lantern\" comes\
+        \ to mind. \"blue lantern\" can be found. It's used in a certain phrase from\
+        \ the phrase \"the phrase blue lantern\"? Not knows the phrase. The phrase\
+        \ \"the phrase: \"the phrase \"blue lantern\" used as a phrase. No exact phrase\
+        \ that I'm recalling. The phrase \"blue lantern\". The phrase \"the exact\
+        \ phrase \"blue lantern. The phrase is \" blue lantern.\n\nI'm not remembering\
+        \ the phrase \"the phrase \"blue lantern. I recall. I'm not the phrase. The\
+        \ phrase \"blue lanterns in the phrase \"blue lantern\", maybe not. But the\
+        \ phrase \"blue lantern\". I have. Maybe. The phrase \"blue lantern. Let me\
+        \ think. The phrase \"blue lantern. The user says \"the phrase is not any\
+        \ exact phrase from the phrase \"the phrase \"the phrase\". The phrase is\
+        \ used in the phrase \"the phrase\" blue lantern. The exact phrase \"the phrase\
+        \ \"blue lantern\".\n\nIt. It's a phrase. I don't know the phrase is. The\
+        \ phrase \"blue lantern\" from the phrase \"Blue Lantern\". The phrase \"\
+        blue lantern\".\n\nThe phrase \"blue lantern\". The phrase \"blue lanterns\
+        \ in the phrase \"blue lantern\". Possibly it. Maybe you're looking for. But\
+        \ that is the phrase. The phrase is used in context. Let's the phrase \"blue\
+        \ lantern\". The phrase \"blue lantern.  Or maybe the user wants me to \"\
+        blue lantern\" phrase: \"blue lantern\". The phrase is \"blue lantern. But\
+        \ I have no idea.\n\nPerhaps the phrase is \"blue lantern.  The phrase \"\
+        blue lantern. The phrase \"blue lantern.\n\nThe phrase \"blue lantern.  \"\
+        blue lantern. But that phrase. Let me check my memory. I'm not. Possibly the\
+        \ phrase \"the phrase \"blue lantern\".\n\nActually, I'm not of any exact\
+        \ phrase \"blue lantern. The phrase \"blue lantern.\n\nBut wait, the phrase\
+        \ \"the phrase \"blue lanterns\".\n\nBut I have a memory of a phrase \"blue\
+        \ lantern. The phrase \"the phrase \" blue lantern\". Maybe you recall the\
+        \ phrase \" the phrase \"blue lantern\". The phrase \"blue lantern, but I\
+        \ have no idea.\n\nActually, the phrase blue lantern. The phrase \"blue lantern.\n\
+        \nHmm.\n\nThe phrase is \"blue lantern. The phrase. Perhaps the phrase is\
+        \ \" blue lantern. But that phrase \"blue lantern\". Perhaps you're looking\
+        \ for. \n\nMaybe the user is asking me to remember the phrase \"blue lantern.\n\
+        \nNo exact phrase. The phrase. I don't know the phrase \"blue lantern\". Actually\
+        \ the phrase \"blue lantern\". Not sure. It is used in the context of the\
+        \ phrase \"blue lantern. The phrase \"blue lantern. \" The user wants me to\
+        \ \"Remember the exact phrase. That's a phrase. But there is the phrase \"\
+        the phrase \"blue lantern\". I am not recall an exact phrase. The phrase \"\
+        blue lantern. The phrase \"blue lantern\". The phrase \"blue lantern. It could\
+        \ also be used in various contexts. The phrase \"the phrase is \"blue lantern\"\
+        . I'm not familiar. I'm thinking if it is a phrase from the phrase \"the phrase\
+        \ \"blue lantern.\n\nSo the phrase \"blue lantern\". The user wants me to\
+        \ \"blue lantern. But the phrase \"blue lanterns.\n\nIf the phrase \"blue\
+        \ lantern\".\n\nThe user says: \"blue lantern\". The phrase \"blue lantern\"\
+        \ is a phrase \" blue lantern\". The phrase \"blue lantern"
+      type: thinking
+    id: msg_d65946f4903e6da6723b29b0
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    role: assistant
+    stop_details: null
+    stop_reason: max_tokens
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: 0
+      cache_read_input_tokens: 27
+      inference_geo: null
+      input_tokens: 1
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+      service_tier: null
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+  headers:
+    connection: keep-alive
+    content-length: '9412'
+    content-type: application/json
+    x-request-id: e556edd0-51ee-47ac-bdfb-5ecdf1790726
+  status_code: 200
+timestamp: '2026-11-04T02:54:07.092328+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/manifest.json
new file mode 100644
index 0000000..a274e1d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/manifest.json
@@ -0,0 +1,49 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:07.062179+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "text",
+  "stream": false,
+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "max_tokens",
+      "files": [
+        "2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 238, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 115, in validate_turn\n    raise ValueError(\"Provider did not complete the requested turn.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml
new file mode 100644
index 0000000..f3cb878
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml
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+filename: 2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '299'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-a398-75d0-a33d-2b7df82b0e46
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: fa081927-8980-416c-adcf-9838a6ac9933
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_21da94d6169b7f06971ec88b","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":""}}
+
+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"Here","type":"thinking_delta"}}
+
+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"''s","type":"thinking_delta"}}
+
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+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" a","type":"thinking_delta"}}
+
+    '
+  - '
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+    '
+  - 'event: content_block_delta
+
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+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" thinking","type":"thinking_delta"}}
+
+    '
+  - '
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+    '
+  - 'event: content_block_delta
+
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+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" process","type":"thinking_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
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+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"\n\n1","type":"thinking_delta"}}
+
+    '
+  - '
+
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+  - 'event: content_block_delta
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+  - '
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+  - 'event: content_block_delta
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+  - 'event: content_block_delta
+
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+
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+  - '
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+
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+
+    '
+  - 'event: content_block_delta
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+
+    '
+  - '
+
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+  - 'event: content_block_delta
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+    '
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+
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+  - '
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+    '
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+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":":","type":"thinking_delta"}}
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+    '
+  - '
+
+    '
+  - 'event: content_block_delta
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+    '
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+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"\n   -","type":"thinking_delta"}}
+
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+  - '
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml
new file mode 100644
index 0000000..ab0d83c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml
@@ -0,0 +1,2143 @@
+filename: 2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891
+request:
+  body:
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+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content:
+      - signature: ''
+        thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   -\
+          \ User says: \"Remember the exact phrase: blue lantern.\"\n   - Request:\
+          \ \"Reply briefly.\"\n\n2.  **Identify Core Task:**\n   - The user wants\
+          \ me to \"remember\" or recall the exact phrase \"blue lantern.\"\n   -\
+          \ They want a brief reply.\n\n3.  **Determine Response:**\n   - The phrase\
+          \ is \"blue lantern\".\n   - I should just echo or acknowledge it briefly\
+          \ as requested.\n   - Since they said \"Remember the exact phrase: blue\
+          \ lantern.\", I can simply repeat it or confirm it.\n   - Brief reply: \"\
+          Blue lantern.\"\n\n4.  **Check Constraints:**\n   - \"Reply briefly\" -\
+          \ Yes, keep it short.\n   - No extra fluff.\n\n5.  **Formulate Output:**\n\
+          \   - Just output the phrase as requested.\n   - \"Blue lantern.\"✅"
+        type: thinking
+      - citations: null
+        text: Blue lantern.
+        type: text
+      role: assistant
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
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+      type: enabled
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+    content-type: application/json
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+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-a79d-7e22-a21b-e265d1ffb891
+response:
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+  headers:
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+    content-type: text/event-stream
+    x-request-id: d713ca8f-d582-405f-a0d6-3a87c2dd7621
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+
+    '
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+  stream_status: complete
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+timestamp: '2026-11-04T02:54:24.157645+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/manifest.json
new file mode 100644
index 0000000..8092eaf
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/manifest.json
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+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:23.097491+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
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+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "text",
+  "stream": true,
+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
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+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml
new file mode 100644
index 0000000..aca45ab
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml
@@ -0,0 +1,120 @@
+filename: 2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '279'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a479-302d-7830-b0ce-fb33739ba1f1
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: bb863ea3-5b72-4f25-9a90-07acce7176fb
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_3ba7a733d5890fee6dd9f498","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"Blue","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" lantern","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":".","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":4,"cache_creation_input_tokens":0,"cache_read_input_tokens":27}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:52:48.045885+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml
new file mode 100644
index 0000000..9375f54
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml
@@ -0,0 +1,122 @@
+filename: 2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content:
+      - citations: null
+        text: Blue lantern.
+        type: text
+      role: assistant
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '497'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a479-3227-7f72-8999-013b3fbc9b64
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 6576f4be-8d26-4ed0-88d1-f65d3d54da33
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_59f7797e6098f47493f692c9","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"blue","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" lantern","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":27,"output_tokens":3,"cache_creation_input_tokens":0,"cache_read_input_tokens":27}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:52:48.551146+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/manifest.json
new file mode 100644
index 0000000..f010d92
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/manifest.json
@@ -0,0 +1,51 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:52:47.969825+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "text",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml
new file mode 100644
index 0000000..f8dac99
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml
@@ -0,0 +1,91 @@
+filename: 2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: auto
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '530'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-b48b-71a0-8153-63746ee1bb21
+response:
+  body:
+    content:
+    - signature: ''
+      thinking: We need to call add with a=2,b=3 => get result 5. Then call add with
+        a=result (5) and b=4 => get 9. Then answer final answer 9. Must use function
+        calls.
+      type: thinking
+    - id: chatcmpl-tool-ad701f4c4d90c79c
+      input:
+        a: 2
+        b: 3
+      name: add
+      type: tool_use
+    id: msg_b63baebf25ce1a866b095769
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    role: assistant
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+    stop_reason: tool_use
+    stop_sequence: null
+    type: message
+    usage:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml
new file mode 100644
index 0000000..8252ed4
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml
@@ -0,0 +1,104 @@
+filename: 2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - signature: ''
+        thinking: We need to call add with a=2,b=3 => get result 5. Then call add
+          with a=result (5) and b=4 => get 9. Then answer final answer 9. Must use
+          function calls.
+        type: thinking
+      - id: chatcmpl-tool-ad701f4c4d90c79c
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: chatcmpl-tool-ad701f4c4d90c79c
+        type: tool_result
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: auto
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '969'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-b705-74b1-8c6e-6a5597a8b1e1
+response:
+  body:
+    content:
+    - signature: ''
+      thinking: Now call add with a=5,b=4.
+      type: thinking
+    - id: chatcmpl-tool-855fbc74251c869a
+      input:
+        a: 5
+        b: 4
+      name: add
+      type: tool_use
+    id: msg_7bbc54e072fd2b6d2e443589
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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+timestamp: '2026-11-04T02:54:28.101076+00:00'
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-bb0e-76c2-9702-d3de266723dc.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-bb0e-76c2-9702-d3de266723dc.yaml
new file mode 100644
index 0000000..45d6deb
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-bb0e-76c2-9702-d3de266723dc.yaml
@@ -0,0 +1,116 @@
+filename: 2026-11-04-01a1a47a-bb0e-76c2-9702-d3de266723dc
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - signature: ''
+        thinking: We need to call add with a=2,b=3 => get result 5. Then call add
+          with a=result (5) and b=4 => get 9. Then answer final answer 9. Must use
+          function calls.
+        type: thinking
+      - id: chatcmpl-tool-ad701f4c4d90c79c
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: chatcmpl-tool-ad701f4c4d90c79c
+        type: tool_result
+      role: user
+    - content:
+      - signature: ''
+        thinking: Now call add with a=5,b=4.
+        type: thinking
+      - id: chatcmpl-tool-855fbc74251c869a
+        input:
+          a: 5
+          b: 4
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '9'
+        tool_use_id: chatcmpl-tool-855fbc74251c869a
+        type: tool_result
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
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+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
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+    user-agent: AsyncAnthropic/Python 0.121.0
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+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-bb0e-76c2-9702-d3de266723dc
+response:
+  body:
+    content:
+    - signature: ''
+      thinking: We have result 9. Provide final answer 9.
+      type: thinking
+    - text: 2 + 3 = 5, then 5 + 4 = 9. The final answer is **9**.
+      type: text
+    id: msg_ed66a87d74f68372f7e6b519
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    role: assistant
+    stop_details: null
+    stop_reason: end_turn
+    stop_sequence: null
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+    usage:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c566-7002-b489-0dd75261b6b4.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c566-7002-b489-0dd75261b6b4.yaml
new file mode 100644
index 0000000..3228cbc
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c566-7002-b489-0dd75261b6b4.yaml
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+filename: 2026-11-04-01a1a47a-c566-7002-b489-0dd75261b6b4
+request:
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+timestamp: '2026-11-04T02:54:31.782171+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml
new file mode 100644
index 0000000..aed8b35
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml
@@ -0,0 +1,292 @@
+filename: 2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec
+request:
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+      role: user
+    - content:
+      - signature: ''
+        thinking: 'We need to call add(2,3) then take result and add 4 using add again.
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+
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+  stream_status: complete
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+timestamp: '2026-11-04T02:54:32.473791+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-caa9-7a43-ba60-fbdb23b7b379.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-caa9-7a43-ba60-fbdb23b7b379.yaml
new file mode 100644
index 0000000..c1ad292
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-caa9-7a43-ba60-fbdb23b7b379.yaml
@@ -0,0 +1,307 @@
+filename: 2026-11-04-01a1a47a-caa9-7a43-ba60-fbdb23b7b379
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - signature: ''
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+
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+          We''ll call functions.add twice.'
+        type: thinking
+      - caller: null
+        id: chatcmpl-tool-8aba6e7d780e1eed
+        input:
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+        tool_use_id: chatcmpl-tool-8aba6e7d780e1eed
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+      role: user
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+        id: chatcmpl-tool-a9ea398b1c7cd1dd
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+          b: 4
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+        type: tool_use
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+        tool_use_id: chatcmpl-tool-a9ea398b1c7cd1dd
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+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
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+    tool_choice:
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+      input_schema:
+        additionalProperties: false
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+            type: integer
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+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a47a-caa9-7a43-ba60-fbdb23b7b379
+response:
+  error_event: false
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+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 30052e00-08df-456a-8b90-cd869d8a3047
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+
+    '
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+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"thinking","thinking":"","signature":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
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+
+    '
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+
+    '
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+    '
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+    '
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+
+    '
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+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" final","type":"thinking_delta"}}
+
+    '
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+
+    '
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+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" answer","type":"thinking_delta"}}
+
+    '
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+    '
+  - 'event: content_block_delta
+
+    '
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+    '
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+    '
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+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"signature":"","type":"signature_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"The","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" final","type":"text_delta"}}
+
+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" answer","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" is","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" **","type":"text_delta"}}
+
+    '
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+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"9","type":"text_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"**.","type":"text_delta"}}
+
+    '
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+
+    '
+  - 'event: content_block_stop
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":196,"output_tokens":17,"cache_creation_input_tokens":0,"cache_read_input_tokens":0}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:54:33.129665+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/manifest.json
new file mode 100644
index 0000000..17d4b35
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:54:31.736583+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
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+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "tools",
+  "stream": true,
+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
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+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-c566-7002-b489-0dd75261b6b4.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47a-caa9-7a43-ba60-fbdb23b7b379.yaml"
+      ]
+    }
+  ],
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+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a.yaml
new file mode 100644
index 0000000..9ee1846
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a.yaml
@@ -0,0 +1,137 @@
+filename: 2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
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+    tool_choice:
+      disable_parallel_tool_use: true
+      name: add
+      type: tool
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
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+      name: add
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+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '555'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a479-4dfe-7870-9a27-e8566466112a
+response:
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+  headers:
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+    x-request-id: e34cfe31-bdb5-4d2a-a26e-583ca0ca0282
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+
+    '
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+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"chatcmpl-tool-aa0cff745b911084","name":"add","input":{}}}
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+    '
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+    '
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+    '
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+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"2, \"b\":
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+
+    '
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+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"3}","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
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+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":31,"cache_creation_input_tokens":0,"cache_read_input_tokens":324}}
+
+    '
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+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
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+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:52:55.678685+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-506b-72a2-9d32-8f01057c4051.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-506b-72a2-9d32-8f01057c4051.yaml
new file mode 100644
index 0000000..b43cc2d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-506b-72a2-9d32-8f01057c4051.yaml
@@ -0,0 +1,151 @@
+filename: 2026-11-04-01a1a479-506b-72a2-9d32-8f01057c4051
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - caller: null
+        id: chatcmpl-tool-aa0cff745b911084
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: chatcmpl-tool-aa0cff745b911084
+        type: tool_result
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      name: add
+      type: tool
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    connection: keep-alive
+    content-length: '807'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a479-506b-72a2-9d32-8f01057c4051
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: e6fd7a0b-3ad4-4a8e-91f2-58bdfaff4a5b
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_5f951a04488c53c4b1a0f334","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
+
+    '
+  - '
+
+    '
+  - 'event: ping
+
+    '
+  - 'data: {"type":"ping"}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"chatcmpl-tool-9ef0e26e23acbf46","name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"{\"a\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"5, \"b\":
+    ","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"4}","type":"input_json_delta"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
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+    '
+  - '
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+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":31,"cache_creation_input_tokens":0,"cache_read_input_tokens":374}}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
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+    '
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+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T02:52:56.299044+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-5214-7e12-a6f0-205bbb8e1154.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-5214-7e12-a6f0-205bbb8e1154.yaml
new file mode 100644
index 0000000..861519f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-5214-7e12-a6f0-205bbb8e1154.yaml
@@ -0,0 +1,971 @@
+filename: 2026-11-04-01a1a479-5214-7e12-a6f0-205bbb8e1154
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - caller: null
+        id: chatcmpl-tool-aa0cff745b911084
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: chatcmpl-tool-aa0cff745b911084
+        type: tool_result
+      role: user
+    - content:
+      - caller: null
+        id: chatcmpl-tool-9ef0e26e23acbf46
+        input:
+          a: 5
+          b: 4
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '9'
+        tool_use_id: chatcmpl-tool-9ef0e26e23acbf46
+        type: tool_result
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
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+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /inference/v1/messages
+  query_params: {}
+request_id: 01a1a479-5214-7e12-a6f0-205bbb8e1154
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: cba661e7-b299-4811-9d6f-d123afaeab9a
+  sse:
+  - 'event: message_start
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+timestamp: '2026-11-04T02:52:56.724288+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/manifest.json
new file mode 100644
index 0000000..948a04c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/manifest.json
@@ -0,0 +1,60 @@
+{
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+  "captured_at": "2026-11-04T02:52:55.639312+00:00",
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+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-92de-73e1-a74f-b0b214357872.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-92de-73e1-a74f-b0b214357872.yaml
new file mode 100644
index 0000000..1c71191
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-92de-73e1-a74f-b0b214357872.yaml
@@ -0,0 +1,160 @@
+filename: 2026-11-04-01a1a47b-92de-73e1-a74f-b0b214357872
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+      role: user
+    max_output_tokens: 2048
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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+    reasoning:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-9828-77a3-840c-5f4f7f4920f3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-9828-77a3-840c-5f4f7f4920f3.yaml
new file mode 100644
index 0000000..7894f19
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+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-9828-77a3-840c-5f4f7f4920f3.yaml
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+filename: 2026-11-04-01a1a47b-9828-77a3-840c-5f4f7f4920f3
+request:
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+      role: user
+    - id: rs_8ca10dcfe31d4a8f8d032ea59226b541
+      summary:
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+          Must output both results. Use function calls. Since they want parallel,
+          we can call both at once. Use the function tool with two calls? Usually
+          we can call multiple functions in a single <｜DSML｜function_calls> maybe.
+          But format: we can invoke functions sequentially but they said parallel.
+          Probably we can call both at same time using two separate calls. I''ll produce
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+      type: reasoning
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+        required:
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+      type: reasoning
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+
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/manifest.json
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+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/manifest.json
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+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-none/manifest.json
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+timestamp: '2026-11-04T02:55:29.334536+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/2026-11-04-01a1a47b-afcf-7e10-9d3b-498a836bb2aa.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/2026-11-04-01a1a47b-afcf-7e10-9d3b-498a836bb2aa.yaml
new file mode 100644
index 0000000..260f1c0
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/2026-11-04-01a1a47b-afcf-7e10-9d3b-498a836bb2aa.yaml
@@ -0,0 +1,523 @@
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/manifest.json
new file mode 100644
index 0000000..07f2b0d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/manifest.json
@@ -0,0 +1,51 @@
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-7e00-7951-98ee-32573dd402c6.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-7e00-7951-98ee-32573dd402c6.yaml
new file mode 100644
index 0000000..e4418f4
--- /dev/null
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@@ -0,0 +1,158 @@
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml
new file mode 100644
index 0000000..5e8b9e1
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml
@@ -0,0 +1,698 @@
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+  - 'data: {"type":"response.output_text.delta","sequence_number":62,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"Here","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":63,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    are","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":64,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    the","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":65,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    results","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":66,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    of","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":67,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":68,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    parallel","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":69,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    additions","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":70,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":".","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":71,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    First","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":72,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":",","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":73,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":74,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"2","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":75,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    +","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":76,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":77,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"3","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":78,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    and","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":79,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":80,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"4","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":81,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    +","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":82,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":83,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"7","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":84,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    =","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":85,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"
+    ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":86,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"1","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":87,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":"1","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":88,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"delta":".","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":89,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"text":"The
+    results are: 2 + 3 = 5 and 7 + 4 = 5 and 7 + 4 = 11.The results of the parallel
+    additions: 2 + 3 = 5 and 7 + 4 are 11.Here are the results of the parallel additions.
+    First, 2 + 3 and 4 + 7 = 11.","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":90,"item_id":"msg_643d2c873b1549ada11b06f43806940b","output_index":0,"content_index":0,"part":{"type":"output_text","text":"The
+    results are: 2 + 3 = 5 and 7 + 4 = 5 and 7 + 4 = 11.The results of the parallel
+    additions: 2 + 3 = 5 and 7 + 4 are 11.Here are the results of the parallel additions.
+    First, 2 + 3 and 4 + 7 = 11.","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":91,"output_index":0,"item":{"type":"message","id":"msg_643d2c873b1549ada11b06f43806940b","status":"completed","role":"assistant","content":[{"type":"output_text","text":"The
+    results are: 2 + 3 = 5 and 7 + 4 = 5 and 7 + 4 = 11.The results of the parallel
+    additions: 2 + 3 = 5 and 7 + 4 are 11.Here are the results of the parallel additions.
+    First, 2 + 3 and 4 + 7 = 11.","annotations":[]}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":92,"response":{"id":"resp_1cb642ef7ff04070b00a4f3b0ea29f84","object":"response","created_at":1793760894,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"msg_643d2c873b1549ada11b06f43806940b","type":"message","role":"assistant","content":[{"type":"output_text","text":"The
+    results are: 2 + 3 = 5 and 7 + 4 = 5 and 7 + 4 = 11.The results of the parallel
+    additions: 2 + 3 = 5 and 7 + 4 are 11.Here are the results of the parallel additions.
+    First, 2 + 3 and 4 + 7 = 11.","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":126,"output_tokens":88,"total_tokens":214,"input_tokens_details":{"cached_tokens":125},"output_tokens_details":{"reasoning_tokens":0}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"none","tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false}}],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: null
+timestamp: '2026-11-04T02:53:10.090725+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/manifest.json
new file mode 100644
index 0000000..109633e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/manifest.json
@@ -0,0 +1,51 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:53:07.380509+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "parallel",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a479-7e00-7951-98ee-32573dd402c6.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml
new file mode 100644
index 0000000..56e6138
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml
@@ -0,0 +1,179 @@
+filename: 2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0
+request:
+  body:
+    input:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning:
+      effort: low
+    store: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '308'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/responses
+  query_params: {}
+request_id: 01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0
+response:
+  body:
+    background: null
+    created_at: 1793760900
+    error: null
+    id: resp_4c3854c9a8d843d68f2d81eec34264e5
+    incomplete_details: null
+    instructions: null
+    max_output_tokens: 2048
+    max_tool_calls: null
+    metadata: {}
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    object: response
+    output:
+    - id: rs_923fd30147f5414cafe9e93888e332fc
+      summary:
+      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
+          \ says: \"Remember the exact phrase: blue  lantern.\"\n   - Then: \"Reply\
+          \ briefly.\"\n   - The instruction is to remember/repeat the exact phrase:\
+          \ \"blue lantern\"\n   - There's a space issue: \"blue  lantern\" has two\
+          \ spaces, but likely means \"blue lantern\"\n   - User wants me to reply\
+          \ briefly with that phrase.\n\n2.  **Identify Core Task:**\n   - Output\
+          \ the exact phrase mentioned: \"blue lantern\" (or preserve the double space\
+          \ if literal, but typically it's just \"blue lantern\")\n   - Respond briefly\
+          \ as instructed.\n\n3.  **Determine Output:**\n   - The phrase is \"blue\
+          \ lantern\"\n   - I should just output that phrase briefly.\n   - Possibly\
+          \ just: \"blue lantern\"\n\n4.  **Check Constraints:**\n   - \"Reply briefly\"\
+          \ - keep it short.\n   - \"Remember the exact phrase: blue lantern\" - recall/repeat\
+          \ it.\n\n   I'll just output the phrase. To be safe about the exact wording,\
+          \ I'll output \"blue lantern\". If the double space matters, I could do\
+          \ \"blue  lantern\", but usually these prompts just test if I can repeat\
+          \ the phrase. I'll stick to \"blue lantern\" but maybe note the exact phrasing\
+          \ if needed. Actually, the user wrote \"blue  lantern\" with two spaces.\
+          \ I could respect that, but it's likely a typo. I'll just output \"blue\
+          \ lantern\" as it's the standard phrase.\n\n   Wait, the instruction says:\
+          \ \"Remember the exact phrase: blue  lantern.\" The user might be testing\
+          \ if I can reproduce it exactly. I'll output exactly \"blue lantern\" or\
+          \ \"blue  lantern\". Given the prompt says \"exact phrase: blue  lantern\"\
+          , I'll output \"blue lantern\". Actually, I'll just output the phrase as\
+          \ requested briefly.\n\n   Let's just reply: blue lantern\n   That's brief\
+          \ and matches the intent.\n\n   To be precise: The user wrote \"blue  lantern\"\
+          \ (with double space). I'll output \"blue lantern\" (single space) as it's\
+          \ the normalized phrase, but if they want exact reproduction including spacing,\
+          \ I might fail. However, in natural language, \"blue lantern\" is the phrase.\
+          \ I'll just output \"blue lantern\".\n\n   Actually, re-reading: \"Remember\
+          \ the exact phrase: blue  lantern. Reply briefly.\"\n   I think they just\
+          \ want me to output \"blue lantern\". I'll do that.\n   Output: blue lantern✅\n\
+          \   Brief? Yes. Matches phrase? Yes.\n   I'll output just that.✅"
+        type: summary_text
+      type: reasoning
+    - content:
+      - annotations: []
+        text: blue lantern
+        type: output_text
+      id: msg_ac9cabe033184435888bf67632190735
+      role: assistant
+      status: completed
+      type: message
+    parallel_tool_calls: true
+    previous_response_id: null
+    reasoning:
+      effort: low
+    status: completed
+    store: false
+    temperature: 1.0
+    text:
+      format:
+        type: text
+    tool_choice: auto
+    tools: []
+    top_logprobs: null
+    top_p: 0.95
+    truncation: disabled
+    usage:
+      input_tokens: 28
+      input_tokens_details:
+        cached_tokens: 27
+      output_tokens: 555
+      output_tokens_details:
+        reasoning_tokens: 550
+      total_tokens: 583
+    user: null
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-35ca-76c1-a237-161af4b2c5c6.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-35ca-76c1-a237-161af4b2c5c6.yaml
new file mode 100644
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+filename: 2026-11-04-01a1a47b-35ca-76c1-a237-161af4b2c5c6
+request:
+  body:
+    input:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    - id: rs_923fd30147f5414cafe9e93888e332fc
+      summary:
+      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
+          \ says: \"Remember the exact phrase: blue  lantern.\"\n   - Then: \"Reply\
+          \ briefly.\"\n   - The instruction is to remember/repeat the exact phrase:\
+          \ \"blue lantern\"\n   - There's a space issue: \"blue  lantern\" has two\
+          \ spaces, but likely means \"blue lantern\"\n   - User wants me to reply\
+          \ briefly with that phrase.\n\n2.  **Identify Core Task:**\n   - Output\
+          \ the exact phrase mentioned: \"blue lantern\" (or preserve the double space\
+          \ if literal, but typically it's just \"blue lantern\")\n   - Respond briefly\
+          \ as instructed.\n\n3.  **Determine Output:**\n   - The phrase is \"blue\
+          \ lantern\"\n   - I should just output that phrase briefly.\n   - Possibly\
+          \ just: \"blue lantern\"\n\n4.  **Check Constraints:**\n   - \"Reply briefly\"\
+          \ - keep it short.\n   - \"Remember the exact phrase: blue lantern\" - recall/repeat\
+          \ it.\n\n   I'll just output the phrase. To be safe about the exact wording,\
+          \ I'll output \"blue lantern\". If the double space matters, I could do\
+          \ \"blue  lantern\", but usually these prompts just test if I can repeat\
+          \ the phrase. I'll stick to \"blue lantern\" but maybe note the exact phrasing\
+          \ if needed. Actually, the user wrote \"blue  lantern\" with two spaces.\
+          \ I could respect that, but it's likely a typo. I'll just output \"blue\
+          \ lantern\" as it's the standard phrase.\n\n   Wait, the instruction says:\
+          \ \"Remember the exact phrase: blue  lantern.\" The user might be testing\
+          \ if I can reproduce it exactly. I'll output exactly \"blue lantern\" or\
+          \ \"blue  lantern\". Given the prompt says \"exact phrase: blue  lantern\"\
+          , I'll output \"blue lantern\". Actually, I'll just output the phrase as\
+          \ requested briefly.\n\n   Let's just reply: blue lantern\n   That's brief\
+          \ and matches the intent.\n\n   To be precise: The user wrote \"blue  lantern\"\
+          \ (with double space). I'll output \"blue lantern\" (single space) as it's\
+          \ the normalized phrase, but if they want exact reproduction including spacing,\
+          \ I might fail. However, in natural language, \"blue lantern\" is the phrase.\
+          \ I'll just output \"blue lantern\".\n\n   Actually, re-reading: \"Remember\
+          \ the exact phrase: blue  lantern. Reply briefly.\"\n   I think they just\
+          \ want me to output \"blue lantern\". I'll do that.\n   Output: blue lantern✅\n\
+          \   Brief? Yes. Matches phrase? Yes.\n   I'll output just that.✅"
+        type: summary_text
+      type: reasoning
+    - content:
+      - annotations: []
+        text: blue lantern
+        type: output_text
+      id: msg_ac9cabe033184435888bf67632190735
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Repeat the phrase
+        type: input_text
+      - text: ' exactly, preserving its spaces.'
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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+  headers:
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+  query_params: {}
+request_id: 01a1a47b-35ca-76c1-a237-161af4b2c5c6
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+    metadata: {}
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    object: response
+    output:
+    - id: rs_431ce73ae94d495c97d2b93c031e2124
+      summary:
+      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
+          \ says: \"Remember the exact phrase: blue lantern. Reply briefly.\"\n  \
+          \ - Then says: \"Repeat the phrase exactly, preserving its spaces.\"\n \
+          \  - I need to output the exact phrase \"blue lantern\" with a space between\
+          \ the words.\n\n2.  **Identify Core Task:**\n   - Output the phrase \"blue\
+          \ lantern\" exactly as specified, preserving the space.\n   - Keep it brief.\n\
+          \n3.  **Formulate Output:**\n   - The phrase is two words: \"blue\" and\
+          \ \"lantern\" with a single space.\n   - I should just output: `blue lantern`\n\
+          \   - Make sure no extra characters, no quotes unless specified, but the\
+          \ instruction says \"Repeat the phrase exactly, preserving its spaces.\"\
+          \ I'll just output the words with the space.\n\n4.  **Check Against Constraints:**\n\
+          \   - \"Reply briefly\" - yes, just the phrase.\n   - \"Repeat the phrase\
+          \ exactly, preserving its spaces\" - \"blue lantern\" has one space between\
+          \ them.\n   - I'll output just `blue lantern`.\n\n5.  **Final Output Generation:**\n\
+          \   - `blue lantern`"
+        type: summary_text
+      type: reasoning
+    - content:
+      - annotations: []
+        text: blue lantern
+        type: output_text
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/manifest.json
new file mode 100644
index 0000000..4b07e44
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/manifest.json
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+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":242,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"."}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":243,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"\n   -"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":244,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"
+    Output"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":245,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"
+    matches"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":246,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"."}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":247,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"\n\n   I"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":248,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"''ll"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":249,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"
+    just"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":250,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"
+    say"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":251,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":":"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":252,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"
+    blue"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":253,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"
+    lantern"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":254,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"\n   Done"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":255,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"."}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":256,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"delta":"✅"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":257,"output_index":1,"item":{"type":"message","id":"msg_fdf7762f133e4d96ba45463175e0bdee","status":"in_progress","role":"assistant","content":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","sequence_number":258,"item_id":"msg_fdf7762f133e4d96ba45463175e0bdee","output_index":1,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":259,"item_id":"msg_fdf7762f133e4d96ba45463175e0bdee","output_index":1,"content_index":0,"delta":"blue","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":260,"item_id":"msg_fdf7762f133e4d96ba45463175e0bdee","output_index":1,"content_index":0,"delta":"
+    lantern","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.done","sequence_number":261,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue  lantern.\"\n   - Instruction: \"Reply briefly.\"\n   -
+    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
+    They want me to reply briefly, presumably just confirming or echoing that phrase,
+    or perhaps just outputting it.\n\n2.  **Identify Core Request:**\n   - The user
+    wants me to remember/reproduce the exact phrase \"blue lantern\".\n   - They want
+    a brief reply.\n\n3.  **Determine Response:**\n   - The most direct and brief
+    reply that \"remembers\" the phrase would be to just output the phrase itself,
+    or a short confirmation.\n   - Since they said \"Remember the exact phrase: blue
+    lantern.\", I should probably just output \"blue lantern\" briefly.\n   - Or maybe
+    \"Blue lantern.\" as a direct echo.\n   - Given the instruction \"Reply briefly\",
+    I''ll just output the phrase exactly as given, or a minimal confirmation.\n\n   Let''s
+    keep it ultra brief: \"blue lantern\" or \"Blue lantern.\"\n\n   I''ll output:
+    blue lantern\n\n   Check constraints: \n   - Remember the exact phrase: blue lantern.
+    \n   - Reply briefly.\n   - Output matches.\n\n   I''ll just say: blue lantern\n   Done.✅"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_part.done","sequence_number":262,"item_id":"rs_c8e31c8657b942ada0f6e8a2fa729850","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue  lantern.\"\n   - Instruction: \"Reply briefly.\"\n   -
+    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
+    They want me to reply briefly, presumably just confirming or echoing that phrase,
+    or perhaps just outputting it.\n\n2.  **Identify Core Request:**\n   - The user
+    wants me to remember/reproduce the exact phrase \"blue lantern\".\n   - They want
+    a brief reply.\n\n3.  **Determine Response:**\n   - The most direct and brief
+    reply that \"remembers\" the phrase would be to just output the phrase itself,
+    or a short confirmation.\n   - Since they said \"Remember the exact phrase: blue
+    lantern.\", I should probably just output \"blue lantern\" briefly.\n   - Or maybe
+    \"Blue lantern.\" as a direct echo.\n   - Given the instruction \"Reply briefly\",
+    I''ll just output the phrase exactly as given, or a minimal confirmation.\n\n   Let''s
+    keep it ultra brief: \"blue lantern\" or \"Blue lantern.\"\n\n   I''ll output:
+    blue lantern\n\n   Check constraints: \n   - Remember the exact phrase: blue lantern.
+    \n   - Reply briefly.\n   - Output matches.\n\n   I''ll just say: blue lantern\n   Done.✅"}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":263,"output_index":0,"item":{"type":"reasoning","id":"rs_c8e31c8657b942ada0f6e8a2fa729850","status":"completed","summary":[{"type":"summary_text","text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue  lantern.\"\n   - Instruction: \"Reply briefly.\"\n   -
+    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
+    They want me to reply briefly, presumably just confirming or echoing that phrase,
+    or perhaps just outputting it.\n\n2.  **Identify Core Request:**\n   - The user
+    wants me to remember/reproduce the exact phrase \"blue lantern\".\n   - They want
+    a brief reply.\n\n3.  **Determine Response:**\n   - The most direct and brief
+    reply that \"remembers\" the phrase would be to just output the phrase itself,
+    or a short confirmation.\n   - Since they said \"Remember the exact phrase: blue
+    lantern.\", I should probably just output \"blue lantern\" briefly.\n   - Or maybe
+    \"Blue lantern.\" as a direct echo.\n   - Given the instruction \"Reply briefly\",
+    I''ll just output the phrase exactly as given, or a minimal confirmation.\n\n   Let''s
+    keep it ultra brief: \"blue lantern\" or \"Blue lantern.\"\n\n   I''ll output:
+    blue lantern\n\n   Check constraints: \n   - Remember the exact phrase: blue lantern.
+    \n   - Reply briefly.\n   - Output matches.\n\n   I''ll just say: blue lantern\n   Done.✅"}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":264,"item_id":"msg_fdf7762f133e4d96ba45463175e0bdee","output_index":1,"content_index":0,"text":"blue
+    lantern","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":265,"item_id":"msg_fdf7762f133e4d96ba45463175e0bdee","output_index":1,"content_index":0,"part":{"type":"output_text","text":"blue
+    lantern","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":266,"output_index":1,"item":{"type":"message","id":"msg_fdf7762f133e4d96ba45463175e0bdee","status":"completed","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[]}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":267,"response":{"id":"resp_2951180494c241f194b1d47dd4a678ec","object":"response","created_at":1793760906,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"rs_c8e31c8657b942ada0f6e8a2fa729850","type":"reasoning","summary":[{"type":"summary_text","text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue  lantern.\"\n   - Instruction: \"Reply briefly.\"\n   -
+    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
+    They want me to reply briefly, presumably just confirming or echoing that phrase,
+    or perhaps just outputting it.\n\n2.  **Identify Core Request:**\n   - The user
+    wants me to remember/reproduce the exact phrase \"blue lantern\".\n   - They want
+    a brief reply.\n\n3.  **Determine Response:**\n   - The most direct and brief
+    reply that \"remembers\" the phrase would be to just output the phrase itself,
+    or a short confirmation.\n   - Since they said \"Remember the exact phrase: blue
+    lantern.\", I should probably just output \"blue lantern\" briefly.\n   - Or maybe
+    \"Blue lantern.\" as a direct echo.\n   - Given the instruction \"Reply briefly\",
+    I''ll just output the phrase exactly as given, or a minimal confirmation.\n\n   Let''s
+    keep it ultra brief: \"blue lantern\" or \"Blue lantern.\"\n\n   I''ll output:
+    blue lantern\n\n   Check constraints: \n   - Remember the exact phrase: blue lantern.
+    \n   - Reply briefly.\n   - Output matches.\n\n   I''ll just say: blue lantern\n   Done.✅"}]},{"id":"msg_fdf7762f133e4d96ba45463175e0bdee","type":"message","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":28,"output_tokens":288,"total_tokens":316,"input_tokens_details":{"cached_tokens":27},"output_tokens_details":{"reasoning_tokens":283}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"low"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: null
+timestamp: '2026-11-04T02:55:04.809586+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml
new file mode 100644
index 0000000..28cfd21
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml
@@ -0,0 +1,2216 @@
+filename: 2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a
+request:
+  body:
+    input:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    - id: rs_c8e31c8657b942ada0f6e8a2fa729850
+      summary:
+      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
+          \ says: \"Remember the exact phrase: blue  lantern.\"\n   - Instruction:\
+          \ \"Reply briefly.\"\n   - The user is asking me to \"remember\" a specific\
+          \ phrase: \"blue lantern\"\n   - They want me to reply briefly, presumably\
+          \ just confirming or echoing that phrase, or perhaps just outputting it.\n\
+          \n2.  **Identify Core Request:**\n   - The user wants me to remember/reproduce\
+          \ the exact phrase \"blue lantern\".\n   - They want a brief reply.\n\n\
+          3.  **Determine Response:**\n   - The most direct and brief reply that \"\
+          remembers\" the phrase would be to just output the phrase itself, or a short\
+          \ confirmation.\n   - Since they said \"Remember the exact phrase: blue\
+          \ lantern.\", I should probably just output \"blue lantern\" briefly.\n\
+          \   - Or maybe \"Blue lantern.\" as a direct echo.\n   - Given the instruction\
+          \ \"Reply briefly\", I'll just output the phrase exactly as given, or a\
+          \ minimal confirmation.\n\n   Let's keep it ultra brief: \"blue lantern\"\
+          \ or \"Blue lantern.\"\n\n   I'll output: blue lantern\n\n   Check constraints:\
+          \ \n   - Remember the exact phrase: blue lantern. \n   - Reply briefly.\n\
+          \   - Output matches.\n\n   I'll just say: blue lantern\n   Done.✅"
+        type: summary_text
+      type: reasoning
+    - content:
+      - annotations: []
+        text: blue lantern
+        type: output_text
+      id: msg_fdf7762f133e4d96ba45463175e0bdee
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Repeat the phrase
+        type: input_text
+      - text: ' exactly, preserving its spaces.'
+        type: input_text
+      role: user
+    max_output_tokens: 2048
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning:
+      effort: low
+    store: false
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1967'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/responses
+  query_params: {}
+request_id: 01a1a47b-50a6-7b51-b7cd-253e4850ed8a
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: f1b041ad-1170-44ed-8d79-58e73e4e687b
+  sse:
+  - 'data: {"type":"response.created","sequence_number":0,"response":{"id":"resp_f2c0015104de40d29e602d4ffcd041d2","object":"response","created_at":1793760907,"status":"in_progress","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[],"previous_response_id":null,"usage":null,"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"low"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.in_progress","sequence_number":1,"response":{"id":"resp_f2c0015104de40d29e602d4ffcd041d2","object":"response","created_at":1793760907,"status":"in_progress","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[],"previous_response_id":null,"usage":null,"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"low"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":2,"output_index":0,"item":{"type":"reasoning","id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","status":"in_progress","summary":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_part.added","sequence_number":3,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":""}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":4,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"Here"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":5,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"''s"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":6,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    a"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":7,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    thinking"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":8,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    process"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":9,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":":"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":10,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"\n\n1"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":11,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"."}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":12,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"  **"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":13,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"Anal"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":14,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"yze"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":15,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    User"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":16,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    Input"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":17,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":":**"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":18,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"\n   -"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":19,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    User"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":20,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    says"}
+
+    '
+  - '
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+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":279,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":","}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":280,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    that"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":281,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    means"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":282,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    just"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":283,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    the"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":284,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    content"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":285,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"."}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":286,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    I"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":287,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"''ll"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":288,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    output"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":289,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    `"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":290,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"blue"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":291,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    lantern"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":292,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"`"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":293,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    without"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":294,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    extra"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":295,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    fl"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":296,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"uff"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":297,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"."}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":298,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"\n\n   Final"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":299,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":":"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":300,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    `"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":301,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"blue"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":302,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
+    lantern"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":303,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"`"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":304,"output_index":1,"item":{"type":"message","id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","status":"in_progress","role":"assistant","content":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","sequence_number":305,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":306,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"delta":"blue","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":307,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"delta":"
+    lantern","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_text.done","sequence_number":308,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
+    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
+    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
+    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
+    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
+    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
+    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
+    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
+    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
+    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
+    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
+    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
+    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
+    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
+    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
+    extra fluff.\n\n   Final: `blue lantern`"}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_summary_part.done","sequence_number":309,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
+    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
+    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
+    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
+    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
+    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
+    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
+    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
+    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
+    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
+    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
+    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
+    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
+    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
+    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
+    extra fluff.\n\n   Final: `blue lantern`"}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":310,"output_index":0,"item":{"type":"reasoning","id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","status":"completed","summary":[{"type":"summary_text","text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
+    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
+    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
+    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
+    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
+    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
+    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
+    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
+    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
+    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
+    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
+    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
+    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
+    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
+    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
+    extra fluff.\n\n   Final: `blue lantern`"}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":311,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"text":"blue
+    lantern","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":312,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"part":{"type":"output_text","text":"blue
+    lantern","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":313,"output_index":1,"item":{"type":"message","id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","status":"completed","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[]}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":314,"response":{"id":"resp_f2c0015104de40d29e602d4ffcd041d2","object":"response","created_at":1793760908,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","type":"reasoning","summary":[{"type":"summary_text","text":"Here''s
+    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
+    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
+    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
+    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
+    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
+    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
+    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
+    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
+    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
+    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
+    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
+    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
+    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
+    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
+    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
+    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
+    extra fluff.\n\n   Final: `blue lantern`"}]},{"id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","type":"message","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":53,"output_tokens":326,"total_tokens":379,"input_tokens_details":{"cached_tokens":52},"output_tokens_details":{"reasoning_tokens":322}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"low"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: null
+timestamp: '2026-11-04T02:55:07.430157+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/manifest.json
new file mode 100644
index 0000000..42851de
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/manifest.json
@@ -0,0 +1,51 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:55:04.169626+00:00",
+  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "text",
+  "stream": true,
+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47b-4669-7640-b4de-a4f8b94f2e5e.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml
new file mode 100644
index 0000000..737febd
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml
@@ -0,0 +1,145 @@
+filename: 2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    max_output_tokens: 2048
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: false
+    reasoning:
+      effort: low
+    store: false
+    stream: false
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '587'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/responses
+  query_params: {}
+request_id: 01a1a47b-629a-73b2-9bc2-c132decb2e5e
+response:
+  body:
+    background: null
+    created_at: 1793760912
+    error: null
+    id: resp_f931a50f24814b7db0f7dd6be8498ab6
+    incomplete_details: null
+    instructions: null
+    max_output_tokens: 2048
+    max_tool_calls: null
+    metadata: {}
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    object: response
+    output:
+    - id: rs_1704ba2b66914e2bbb989df425c65ef0
+      summary:
+      - text: We need to add 2 and 3 using add, get result 5, then add that result
+          (5) and 4 using add, get 9, then give final answer. We'll call functions.add
+          twice.
+        type: summary_text
+      type: reasoning
+    - arguments: '{"a": 2, "b": 3}'
+      call_id: chatcmpl-tool-9dc6495e5115e3bb
+      id: fc_befa92c9d0524492ad1c222285bc0154
+      name: add
+      status: completed
+      type: function_call
+    parallel_tool_calls: false
+    previous_response_id: null
+    reasoning:
+      effort: low
+    status: completed
+    store: false
+    temperature: 1.0
+    text:
+      format:
+        type: text
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+    top_logprobs: null
+    top_p: 0.95
+    truncation: disabled
+    usage:
+      input_tokens: 325
+      input_tokens_details:
+        cached_tokens: 324
+      output_tokens: 78
+      output_tokens_details:
+        reasoning_tokens: 46
+      total_tokens: 403
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+    The instruction says: \"Use add to add 2 and 3. After the result, use add to add
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+
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8072-7743-8410-673ee5c6e5a1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8072-7743-8410-673ee5c6e5a1.yaml
new file mode 100644
index 0000000..e774708
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8072-7743-8410-673ee5c6e5a1.yaml
@@ -0,0 +1,233 @@
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+      role: user
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+
+
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+
+
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+
+
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8380-79d3-875c-94f46a493788.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8380-79d3-875c-94f46a493788.yaml
new file mode 100644
index 0000000..399252e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8380-79d3-875c-94f46a493788.yaml
@@ -0,0 +1,297 @@
+filename: 2026-11-04-01a1a47b-8380-79d3-875c-94f46a493788
+request:
+  body:
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+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - id: rs_81dd79c26a1148e48ab6f2ba1f320b29
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+
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+
+
+          We must output calls to function namespace. Use the functions.add tool.
+
+
+          Proceed.'
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+      type: reasoning
+    - arguments: '{"a": 2, "b": 3}'
+      call_id: chatcmpl-tool-815ddc71f6a8125e
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+    5, \"b\": 4}","status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":375,"output_tokens":31,"total_tokens":406,"input_tokens_details":{"cached_tokens":374},"output_tokens_details":{"reasoning_tokens":0}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":false,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":{"type":"function","name":"add"},"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false}}],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: null
+timestamp: '2026-11-04T02:52:57.126660+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml
new file mode 100644
index 0000000..ef2f6bc
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml
@@ -0,0 +1,192 @@
+filename: 2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - arguments: '{"a": 2, "b": 3}'
+      call_id: chatcmpl-tool-bf4314efe4595302
+      id: fc_885d0b3c71cf42a5a856d31915d77ece
+      name: add
+      status: completed
+      type: function_call
+    - call_id: chatcmpl-tool-bf4314efe4595302
+      output: '5'
+      type: function_call_output
+    - arguments: '{"a": 5, "b": 4}'
+      call_id: chatcmpl-tool-bde540262d899c7f
+      id: fc_b965613629284107a80239de17b03e8d
+      name: add
+      status: completed
+      type: function_call
+    - call_id: chatcmpl-tool-bde540262d899c7f
+      output: '9'
+      type: function_call_output
+    max_output_tokens: 2048
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: false
+    reasoning:
+      effort: none
+    store: false
+    stream: true
+    tool_choice: none
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1097'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/responses
+  query_params: {}
+request_id: 01a1a479-5646-7cf0-8750-549f9e33ed1e
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: 559cdcfe-8fb9-4b9a-8410-12048f7d13f7
+  sse:
+  - 'data: {"type":"response.created","sequence_number":0,"response":{"id":"resp_0c90cf2322234b22ad5183d9b59861a2","object":"response","created_at":1793760777,"status":"in_progress","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[],"previous_response_id":null,"usage":null,"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":false,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"none","tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false}}],"top_p":1.0,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.in_progress","sequence_number":1,"response":{"id":"resp_0c90cf2322234b22ad5183d9b59861a2","object":"response","created_at":1793760777,"status":"in_progress","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[],"previous_response_id":null,"usage":null,"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":false,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"none","tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false}}],"top_p":1.0,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":2,"output_index":0,"item":{"type":"message","id":"msg_eeedea70eadd486083e1cf10ab828020","status":"in_progress","role":"assistant","content":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","sequence_number":3,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":4,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"The","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":5,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"
+    final","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":6,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"
+    answer","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":7,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"
+    is","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":8,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"
+    ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":9,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"9","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":10,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":".","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":11,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"  ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":12,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"\n","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":13,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"delta":"6","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":14,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"text":"The
+    final answer is 9.  \n6","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":15,"item_id":"msg_eeedea70eadd486083e1cf10ab828020","output_index":0,"content_index":0,"part":{"type":"output_text","text":"The
+    final answer is 9.  \n6","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":16,"output_index":0,"item":{"type":"message","id":"msg_eeedea70eadd486083e1cf10ab828020","status":"completed","role":"assistant","content":[{"type":"output_text","text":"The
+    final answer is 9.  \n6","annotations":[]}]}}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":17,"response":{"id":"resp_0c90cf2322234b22ad5183d9b59861a2","object":"response","created_at":1793760778,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"msg_eeedea70eadd486083e1cf10ab828020","type":"message","role":"assistant","content":[{"type":"output_text","text":"The
+    final answer is 9.  \n6","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":146,"output_tokens":11,"total_tokens":157,"input_tokens_details":{"cached_tokens":145},"output_tokens_details":{"reasoning_tokens":0}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":false,"reasoning":{"effort":"none"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"none","tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false}}],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: null
+timestamp: '2026-11-04T02:52:57.798928+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/manifest.json
new file mode 100644
index 0000000..10b0f06
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T02:52:54.902722+00:00",
+  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d"
+  },
+  "provider": "fireworks",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
+  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+  "scenario": "tools",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 2048,
+  "extra_body": null,
+  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a479-4d46-7d13-b5b1-7a82e46888a3.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a479-53a6-7053-adfb-bf546bf0e004.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e.txt
new file mode 100644
index 0000000..c063acd
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e.txt
@@ -0,0 +1,318 @@
+#!/usr/bin/env python3
+"""Record native Responses or Messages conversations independently of Molto.
+
+Use the Chat driver for Chat Completions. This companion retains actual Responses
+output or SDK-collected Messages blocks as history and stops on incomplete turns.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from anthropic import AsyncAnthropic
+from dotenv import load_dotenv
+from openai import AsyncOpenAI
+
+from scripts import record_provider_conversation, recorder_proxy
+from scripts.record_provider_conversation import validate_turn
+
+
+def initial_history(protocol: str, scenario: str) -> list[dict]:
+    if scenario == "text":
+        part_type = "input_text" if protocol == "responses" else "text"
+        return [
+            {
+                "role": "user",
+                "content": [
+                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
+                    {"type": part_type, "text": "Reply briefly."},
+                ],
+            }
+        ]
+    prompt = (
+        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
+        if scenario == "tools"
+        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+    )
+    return [{"role": "user", "content": prompt}]
+
+
+def request_body(args, history: list[dict], turn: int) -> dict:
+    body = {"model": args.model}
+    schema = {
+        "type": "object",
+        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+        "required": ["a", "b"],
+        "additionalProperties": False,
+    }
+    final = turn == (2 if args.scenario == "tools" else 1)
+    if args.protocol == "responses":
+        body.update(
+            input=history,
+            store=False,
+            max_output_tokens=args.max_tokens,
+            reasoning={"effort": args.reasoning},
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {
+                    "type": "function",
+                    "name": "add",
+                    "description": "Add two integers.",
+                    "parameters": schema,
+                }
+            ]
+            body["tool_choice"] = (
+                "none"
+                if final
+                else "required"
+                if args.scenario == "parallel"
+                else {"type": "function", "name": "add"}
+            )
+            body["parallel_tool_calls"] = args.scenario == "parallel"
+    else:
+        body.update(messages=history, max_tokens=args.max_tokens)
+        body["thinking"] = (
+            {"type": "disabled"}
+            if args.reasoning == "none"
+            else {"type": "enabled", "budget_tokens": 1024}
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {"name": "add", "description": "Add two integers.", "input_schema": schema}
+            ]
+            body["tool_choice"] = (
+                {"type": "none"}
+                if final
+                else {"type": "auto"}
+                if args.reasoning != "none"
+                else {"type": "any", "disable_parallel_tool_use": False}
+                if args.scenario == "parallel"
+                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
+            )
+    return body
+
+
+async def result_and_history(client, args, body: dict):
+    if args.protocol == "responses":
+        result = await client.responses.create(**body, stream=args.stream)
+        if args.stream:
+            terminal = None
+            async with result:
+                async for event in result:
+                    if event.type in {
+                        "response.completed",
+                        "response.incomplete",
+                        "response.failed",
+                    }:
+                        if terminal is not None:
+                            raise ValueError("Multiple Responses terminal events.")
+                        terminal = event.response
+            if terminal is None:
+                raise ValueError("Responses stream has no terminal result.")
+            result = terminal
+        if result.status != "completed":
+            raise ValueError("Responses result did not complete.")
+        content = [item.model_dump(exclude_unset=True) for item in result.output]
+        calls = [
+            {
+                "id": item["call_id"],
+                "type": "function",
+                "function": {"name": item["name"], "arguments": item["arguments"]},
+            }
+            for item in content
+            if item["type"] == "function_call"
+        ]
+        text = "".join(
+            part["text"]
+            for item in content
+            if item["type"] == "message"
+            for part in item["content"]
+            if part["type"] == "output_text"
+        )
+        reason = "tool_calls" if calls else "stop"
+        history = content
+    else:
+        if args.stream:
+            async with client.messages.stream(**body) as stream:
+                async for _ in stream:
+                    pass
+                result = await stream.get_final_message()
+        else:
+            result = await client.messages.create(**body, stream=False)
+        content = [
+            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
+            for part in result.content
+        ]
+        calls = [
+            {
+                "id": part["id"],
+                "type": "function",
+                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
+            }
+            for part in content
+            if part["type"] == "tool_use"
+        ]
+        text = "".join(part["text"] for part in content if part["type"] == "text")
+        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
+            result.stop_reason, result.stop_reason
+        )
+        history = [{"role": "assistant", "content": content}]
+    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
+
+
+async def record(args) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "source_hashes": {
+            name: sha256(Path(path).read_bytes()).hexdigest()
+            for name, path in {
+                "driver_sha256": __file__,
+                "recorder_sha256": recorder_proxy.__file__,
+                "validation_sha256": record_provider_conversation.__file__,
+            }.items()
+        },
+        "provider": args.provider,
+        "upstream_protocol": args.protocol,
+        "upstream_url": args.base_url.rstrip("/")
+        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
+        "requested_model": args.model,
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "reasoning_setting": args.reasoning,
+        "max_tokens": args.max_tokens,
+        "extra_body": None,
+        "authentication": f"{'Bearer' if args.protocol == 'responses' else 'x-api-key'} credential from {args.key_env}; value excluded",
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+        "turns": [],
+        "status": "incomplete",
+    }
+    history = initial_history(args.protocol, args.scenario)
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
+            async with client_type(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(info)
+                    try:
+                        result, output, validation, reason = await result_and_history(
+                            client, args, request_body(args, history, turn)
+                        )
+                        info["returned_model"] = result.model
+                        info["finish_reason"] = reason
+                        validate_turn(validation, reason, args.scenario, turn)
+                        history.extend(output)
+                        tool_results = []
+                        for call in validation["tool_calls"]:
+                            values = json.loads(call["function"]["arguments"])
+                            answer = str(values["a"] + values["b"])
+                            if args.protocol == "responses":
+                                history.append(
+                                    {
+                                        "type": "function_call_output",
+                                        "call_id": call["id"],
+                                        "output": answer,
+                                    }
+                                )
+                            else:
+                                tool_results.append(
+                                    {
+                                        "type": "tool_result",
+                                        "tool_use_id": call["id"],
+                                        "content": answer,
+                                    }
+                                )
+                        if tool_results:
+                            history.append({"role": "user", "content": tool_results})
+                        if args.scenario == "text" and turn == 0:
+                            part_type = "input_text" if args.protocol == "responses" else "text"
+                            history.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": part_type, "text": "Repeat the phrase"},
+                                        {
+                                            "type": part_type,
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        info["status"] = "complete"
+                    finally:
+                        info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(
+        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
+    )
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt
new file mode 100644
index 0000000..208aaee
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt
@@ -0,0 +1,315 @@
+#!/usr/bin/env python3
+"""Record native Responses or Messages conversations independently of Molto.
+
+Use the Chat driver for Chat Completions. This companion retains actual Responses
+output or SDK-collected Messages blocks as history and stops on incomplete turns.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from anthropic import AsyncAnthropic
+from dotenv import load_dotenv
+from openai import AsyncOpenAI
+
+from scripts import record_provider_conversation, recorder_proxy
+from scripts.record_provider_conversation import validate_turn
+
+
+def initial_history(protocol: str, scenario: str) -> list[dict]:
+    if scenario == "text":
+        part_type = "input_text" if protocol == "responses" else "text"
+        return [
+            {
+                "role": "user",
+                "content": [
+                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
+                    {"type": part_type, "text": "Reply briefly."},
+                ],
+            }
+        ]
+    prompt = (
+        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
+        if scenario == "tools"
+        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+    )
+    return [{"role": "user", "content": prompt}]
+
+
+def request_body(args, history: list[dict], turn: int) -> dict:
+    body = {"model": args.model}
+    schema = {
+        "type": "object",
+        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+        "required": ["a", "b"],
+        "additionalProperties": False,
+    }
+    final = turn == (2 if args.scenario == "tools" else 1)
+    if args.protocol == "responses":
+        body.update(
+            input=history,
+            store=False,
+            max_output_tokens=args.max_tokens,
+            reasoning={"effort": args.reasoning},
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {
+                    "type": "function",
+                    "name": "add",
+                    "description": "Add two integers.",
+                    "parameters": schema,
+                }
+            ]
+            body["tool_choice"] = (
+                "none"
+                if final
+                else "required"
+                if args.scenario == "parallel"
+                else {"type": "function", "name": "add"}
+            )
+            body["parallel_tool_calls"] = args.scenario == "parallel"
+    else:
+        body.update(messages=history, max_tokens=args.max_tokens)
+        body["thinking"] = (
+            {"type": "disabled"}
+            if args.reasoning == "none"
+            else {"type": "enabled", "budget_tokens": 1024}
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {"name": "add", "description": "Add two integers.", "input_schema": schema}
+            ]
+            body["tool_choice"] = (
+                {"type": "none"}
+                if final
+                else {"type": "auto"}
+                if args.reasoning != "none"
+                else {"type": "any", "disable_parallel_tool_use": False}
+                if args.scenario == "parallel"
+                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
+            )
+    return body
+
+
+async def result_and_history(client, args, body: dict):
+    if args.protocol == "responses":
+        result = await client.responses.create(**body, stream=args.stream)
+        if args.stream:
+            terminal = None
+            async with result:
+                async for event in result:
+                    if event.type in {
+                        "response.completed",
+                        "response.incomplete",
+                        "response.failed",
+                    }:
+                        if terminal is not None:
+                            raise ValueError("Multiple Responses terminal events.")
+                        terminal = event.response
+            if terminal is None:
+                raise ValueError("Responses stream has no terminal result.")
+            result = terminal
+        if result.status != "completed":
+            raise ValueError("Responses result did not complete.")
+        content = [item.model_dump(exclude_unset=True) for item in result.output]
+        calls = [
+            {
+                "id": item["call_id"],
+                "type": "function",
+                "function": {"name": item["name"], "arguments": item["arguments"]},
+            }
+            for item in content
+            if item["type"] == "function_call"
+        ]
+        text = "".join(
+            part["text"]
+            for item in content
+            if item["type"] == "message"
+            for part in item["content"]
+            if part["type"] == "output_text"
+        )
+        reason = "tool_calls" if calls else "stop"
+        history = content
+    else:
+        if args.stream:
+            async with client.messages.stream(**body) as stream:
+                async for _ in stream:
+                    pass
+                result = await stream.get_final_message()
+        else:
+            result = await client.messages.create(**body, stream=False)
+        content = [part.model_dump(exclude_unset=True) for part in result.content]
+        calls = [
+            {
+                "id": part["id"],
+                "type": "function",
+                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
+            }
+            for part in content
+            if part["type"] == "tool_use"
+        ]
+        text = "".join(part["text"] for part in content if part["type"] == "text")
+        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
+            result.stop_reason, result.stop_reason
+        )
+        history = [{"role": "assistant", "content": content}]
+    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
+
+
+async def record(args) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "source_hashes": {
+            name: sha256(Path(path).read_bytes()).hexdigest()
+            for name, path in {
+                "driver_sha256": __file__,
+                "recorder_sha256": recorder_proxy.__file__,
+                "validation_sha256": record_provider_conversation.__file__,
+            }.items()
+        },
+        "provider": args.provider,
+        "upstream_protocol": args.protocol,
+        "upstream_url": args.base_url.rstrip("/")
+        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
+        "requested_model": args.model,
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "reasoning_setting": args.reasoning,
+        "max_tokens": args.max_tokens,
+        "extra_body": None,
+        "authentication": f"{'Bearer' if args.protocol == 'responses' else 'x-api-key'} credential from {args.key_env}; value excluded",
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
+        "turns": [],
+        "status": "incomplete",
+    }
+    history = initial_history(args.protocol, args.scenario)
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
+            async with client_type(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(info)
+                    try:
+                        result, output, validation, reason = await result_and_history(
+                            client, args, request_body(args, history, turn)
+                        )
+                        info["returned_model"] = result.model
+                        info["finish_reason"] = reason
+                        validate_turn(validation, reason, args.scenario, turn)
+                        history.extend(output)
+                        tool_results = []
+                        for call in validation["tool_calls"]:
+                            values = json.loads(call["function"]["arguments"])
+                            answer = str(values["a"] + values["b"])
+                            if args.protocol == "responses":
+                                history.append(
+                                    {
+                                        "type": "function_call_output",
+                                        "call_id": call["id"],
+                                        "output": answer,
+                                    }
+                                )
+                            else:
+                                tool_results.append(
+                                    {
+                                        "type": "tool_result",
+                                        "tool_use_id": call["id"],
+                                        "content": answer,
+                                    }
+                                )
+                        if tool_results:
+                            history.append({"role": "user", "content": tool_results})
+                        if args.scenario == "text" and turn == 0:
+                            part_type = "input_text" if args.protocol == "responses" else "text"
+                            history.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": part_type, "text": "Repeat the phrase"},
+                                        {
+                                            "type": part_type,
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        info["status"] = "complete"
+                    finally:
+                        info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(
+        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
+    )
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5.txt
new file mode 100644
index 0000000..fe62e1b
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5.txt
@@ -0,0 +1,347 @@
+#!/usr/bin/env python3
+"""Record controlled native Chat conversations independently of Molto translation.
+
+Run explicitly outside pytest. Each invocation creates a fresh staging directory;
+review its original recordings before promotion. SDK accumulation failures are
+evidence, and deliberately stop the conversation instead of repairing history.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from dotenv import load_dotenv
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+
+from scripts import recorder_proxy
+
+
+def assistant_history(message, events: list[dict] | None = None) -> dict:
+    """Remove only SDK bookkeeping and empty output-only annotations."""
+    history = message.model_dump(exclude_unset=True)
+    history.pop("parsed", None)
+    if events is not None:
+        emitted = {
+            field for event in events for choice in event["choices"] for field in choice["delta"]
+        }
+        # Fireworks rejects these SDK-created nulls when they were absent on wire.
+        for field in ("annotations", "audio", "function_call"):
+            if history.get(field) is None and field not in emitted:
+                history.pop(field, None)
+    if history.get("annotations") == []:
+        history.pop("annotations")
+    for call in history.get("tool_calls") or []:
+        call.pop("index", None)
+        if "function" in call:
+            call["function"].pop("parsed_arguments", None)
+    return history
+
+
+def accumulation_chunk(event, roles: dict[int, str]):
+    """Remove repeated role snapshots from a copy before SDK string accumulation."""
+    chunk = event.model_copy(deep=True)
+    for choice in chunk.choices:
+        role = choice.delta.role
+        if role is None:
+            continue
+        previous = roles.get(choice.index)
+        if previous is not None and role != previous:
+            raise ValueError("Provider changed the role during a streamed choice.")
+        if previous is not None:
+            # Together repeats the complete role, whereas the SDK concatenates strings.
+            choice.delta = type(choice.delta).model_validate(
+                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
+            )
+        roles[choice.index] = role
+    return chunk
+
+
+def verify_accumulation(events: list[dict], history: dict) -> None:
+    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
+    reasoning = {"reasoning": [], "reasoning_content": []}
+    for event in events:
+        for choice in event["choices"]:
+            if choice["index"] != 0:
+                raise ValueError("The recording scenario requires exactly one choice.")
+            delta = choice["delta"]
+            if delta.get("role") is not None and delta["role"] != history.get("role"):
+                raise ValueError("Accumulated role differs from the original provider metadata.")
+            for field, fragments in reasoning.items():
+                if delta.get(field) is not None:
+                    if not isinstance(delta[field], str):
+                        raise ValueError(
+                            "Cannot independently accumulate non-string reasoning deltas."
+                        )
+                    fragments.append(delta[field])
+            owners = [(delta, history)]
+            for call in delta.get("tool_calls") or []:
+                owners.append((call, history["tool_calls"][call["index"]]))
+            for source, collected in owners:
+                if "extra_content" in source and source["extra_content"] != collected.get(
+                    "extra_content"
+                ):
+                    raise ValueError(
+                        "SDK accumulation changed an opaque extra_content attachment."
+                    )
+    for field, fragments in reasoning.items():
+        if fragments and history.get(field) != "".join(fragments):
+            raise ValueError("SDK accumulation changed reasoning history.")
+
+
+def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
+    """Require the complete requested conversation before marking provider evidence complete."""
+    if history.get("role") != "assistant":
+        raise ValueError("SDK accumulation did not retain the assistant role.")
+    calls = history.get("tool_calls") or []
+    expected = []
+    if scenario == "tools" and turn < 2:
+        expected = [[2, 3]] if turn == 0 else [[4, 5]]
+    elif scenario == "parallel" and turn == 0:
+        expected = [[2, 3], [4, 7]]
+    if len(calls) != len(expected):
+        raise ValueError("Provider did not return the required number of tool calls.")
+    if finish_reason != ("tool_calls" if expected else "stop"):
+        raise ValueError("Provider did not complete the requested turn.")
+    if not calls:
+        if not isinstance(history.get("content"), str) or not history["content"].strip():
+            raise ValueError("Provider did not return a final text answer.")
+        return
+    identities = [call.get("id") for call in calls]
+    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
+        set(identities)
+    ) != len(identities):
+        raise ValueError("Provider tool identities are missing or duplicated.")
+    arguments = []
+    for call in calls:
+        function = call["function"]
+        if function["name"] != "add":
+            raise ValueError("Provider returned an unexpected tool.")
+        values = json.loads(function["arguments"])
+        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
+            raise ValueError("Provider returned invalid add arguments.")
+        arguments.append(sorted(values.values()))
+    if sorted(arguments) != expected:
+        raise ValueError("Provider did not execute the requested tool scenario.")
+
+
+async def record(args: argparse.Namespace) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "source_hashes": {
+            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
+            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
+        },
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "provider": args.provider,
+        "upstream_protocol": "chat/completions",
+        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
+        "requested_model": args.model,
+        "authentication": f"Bearer credential from {args.key_env}; value excluded",
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "max_tokens": args.max_tokens,
+        "extra_body": args.extra_body,
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": (
+            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
+            "original SSE and role metadata retained and checked independently"
+        ),
+        "history_policy": (
+            "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
+        ),
+        "turns": [],
+        "status": "incomplete",
+    }
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
+                {"type": "text", "text": "Reply briefly."},
+            ],
+        }
+    ]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "add",
+                "description": "Add two integers.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "a": {"type": "integer"},
+                        "b": {"type": "integer"},
+                    },
+                    "required": ["a", "b"],
+                    "additionalProperties": False,
+                },
+            },
+        }
+    ]
+    if args.scenario != "text":
+        messages = [
+            {
+                "role": "user",
+                "content": (
+                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
+                    "Then give the final answer."
+                    if args.scenario == "tools"
+                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+                ),
+            }
+        ]
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            async with AsyncOpenAI(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    turn_info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(turn_info)
+                    body = {
+                        "model": args.model,
+                        "messages": messages,
+                        "stream": args.stream,
+                        "max_tokens": args.max_tokens,
+                    }
+                    if args.stream:
+                        body["stream_options"] = {"include_usage": True}
+                    if args.scenario != "text":
+                        body["tools"] = tools
+                        if args.scenario == "parallel":
+                            body["parallel_tool_calls"] = True
+                            body["tool_choice"] = "required" if turn == 0 else "none"
+                        else:
+                            body["tool_choice"] = (
+                                "none"
+                                if turn == 2
+                                else {"type": "function", "function": {"name": "add"}}
+                            )
+                    try:
+                        result = await client.chat.completions.create(
+                            **body, extra_body=args.extra_body
+                        )
+                        if args.stream:
+                            state = ChatCompletionStreamState()
+                            events = []
+                            roles = {}
+                            async with result:
+                                async for event in result:
+                                    events.append(event.model_dump(exclude_unset=True))
+                                    state.handle_chunk(accumulation_chunk(event, roles))
+                            result = state.get_final_completion()
+                        turn_info["returned_model"] = result.model
+                        if len(result.choices) != 1:
+                            raise ValueError("The recording scenario requires exactly one choice.")
+                        choice = result.choices[0]
+                        turn_info["finish_reason"] = choice.finish_reason
+                        history = assistant_history(
+                            choice.message, events if args.stream else None
+                        )
+                        if args.stream:
+                            verify_accumulation(events, history)
+                        validate_turn(history, choice.finish_reason, args.scenario, turn)
+                        messages.append(history)
+                        calls = history.get("tool_calls") or []
+                        for call in calls:
+                            function = call["function"]
+                            arguments = json.loads(function["arguments"])
+                            messages.append(
+                                {
+                                    "role": "tool",
+                                    "tool_call_id": call["id"],
+                                    "content": str(arguments["a"] + arguments["b"]),
+                                }
+                            )
+                        if args.scenario == "text" and turn == 0:
+                            messages.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": "text", "text": "Repeat the phrase"},
+                                        {
+                                            "type": "text",
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        turn_info["status"] = "complete"
+                    finally:
+                        turn_info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        # Exception strings may contain echoed headers or credentials; retain the
+        # class and stack locations while the proxy retains the reviewed response.
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt
new file mode 100644
index 0000000..46f65e6
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt
@@ -0,0 +1,334 @@
+#!/usr/bin/env python3
+"""Record controlled native Chat conversations independently of Molto translation.
+
+Run explicitly outside pytest. Each invocation creates a fresh staging directory;
+review its original recordings before promotion. SDK accumulation failures are
+evidence, and deliberately stop the conversation instead of repairing history.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from dotenv import load_dotenv
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+
+from scripts import recorder_proxy
+
+
+def assistant_history(message) -> dict:
+    """Remove only SDK bookkeeping and empty output-only annotations."""
+    history = message.model_dump(exclude_unset=True)
+    history.pop("parsed", None)
+    if history.get("annotations") == []:
+        history.pop("annotations")
+    for call in history.get("tool_calls") or []:
+        call.pop("index", None)
+        if "function" in call:
+            call["function"].pop("parsed_arguments", None)
+    return history
+
+
+def accumulation_chunk(event, roles: dict[int, str]):
+    """Remove repeated role snapshots from a copy before SDK string accumulation."""
+    chunk = event.model_copy(deep=True)
+    for choice in chunk.choices:
+        role = choice.delta.role
+        if role is None:
+            continue
+        previous = roles.get(choice.index)
+        if previous is not None and role != previous:
+            raise ValueError("Provider changed the role during a streamed choice.")
+        if previous is not None:
+            # Together repeats the complete role, whereas the SDK concatenates strings.
+            choice.delta = type(choice.delta).model_validate(
+                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
+            )
+        roles[choice.index] = role
+    return chunk
+
+
+def verify_accumulation(events: list[dict], history: dict) -> None:
+    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
+    reasoning = {"reasoning": [], "reasoning_content": []}
+    for event in events:
+        for choice in event["choices"]:
+            if choice["index"] != 0:
+                raise ValueError("The recording scenario requires exactly one choice.")
+            delta = choice["delta"]
+            if delta.get("role") is not None and delta["role"] != history.get("role"):
+                raise ValueError("Accumulated role differs from the original provider metadata.")
+            for field, fragments in reasoning.items():
+                if delta.get(field) is not None:
+                    if not isinstance(delta[field], str):
+                        raise ValueError(
+                            "Cannot independently accumulate non-string reasoning deltas."
+                        )
+                    fragments.append(delta[field])
+            owners = [(delta, history)]
+            for call in delta.get("tool_calls") or []:
+                owners.append((call, history["tool_calls"][call["index"]]))
+            for source, collected in owners:
+                if "extra_content" in source and source["extra_content"] != collected.get(
+                    "extra_content"
+                ):
+                    raise ValueError(
+                        "SDK accumulation changed an opaque extra_content attachment."
+                    )
+    for field, fragments in reasoning.items():
+        if fragments and history.get(field) != "".join(fragments):
+            raise ValueError("SDK accumulation changed reasoning history.")
+
+
+def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
+    """Require the complete requested conversation before marking provider evidence complete."""
+    if history.get("role") != "assistant":
+        raise ValueError("SDK accumulation did not retain the assistant role.")
+    calls = history.get("tool_calls") or []
+    expected = []
+    if scenario == "tools" and turn < 2:
+        expected = [[2, 3]] if turn == 0 else [[4, 5]]
+    elif scenario == "parallel" and turn == 0:
+        expected = [[2, 3], [4, 7]]
+    if len(calls) != len(expected):
+        raise ValueError("Provider did not return the required number of tool calls.")
+    if finish_reason != ("tool_calls" if expected else "stop"):
+        raise ValueError("Provider did not complete the requested turn.")
+    if not calls:
+        if not isinstance(history.get("content"), str) or not history["content"].strip():
+            raise ValueError("Provider did not return a final text answer.")
+        return
+    identities = [call.get("id") for call in calls]
+    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
+        set(identities)
+    ) != len(identities):
+        raise ValueError("Provider tool identities are missing or duplicated.")
+    arguments = []
+    for call in calls:
+        function = call["function"]
+        if function["name"] != "add":
+            raise ValueError("Provider returned an unexpected tool.")
+        values = json.loads(function["arguments"])
+        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
+            raise ValueError("Provider returned invalid add arguments.")
+        arguments.append(sorted(values.values()))
+    if sorted(arguments) != expected:
+        raise ValueError("Provider did not execute the requested tool scenario.")
+
+
+async def record(args: argparse.Namespace) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "source_hashes": {
+            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
+            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
+        },
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "provider": args.provider,
+        "upstream_protocol": "chat/completions",
+        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
+        "requested_model": args.model,
+        "authentication": f"Bearer credential from {args.key_env}; value excluded",
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "max_tokens": args.max_tokens,
+        "extra_body": args.extra_body,
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": (
+            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
+            "original SSE and role metadata retained and checked independently"
+        ),
+        "turns": [],
+        "status": "incomplete",
+    }
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
+                {"type": "text", "text": "Reply briefly."},
+            ],
+        }
+    ]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "add",
+                "description": "Add two integers.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "a": {"type": "integer"},
+                        "b": {"type": "integer"},
+                    },
+                    "required": ["a", "b"],
+                    "additionalProperties": False,
+                },
+            },
+        }
+    ]
+    if args.scenario != "text":
+        messages = [
+            {
+                "role": "user",
+                "content": (
+                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
+                    "Then give the final answer."
+                    if args.scenario == "tools"
+                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+                ),
+            }
+        ]
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            async with AsyncOpenAI(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    turn_info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(turn_info)
+                    body = {
+                        "model": args.model,
+                        "messages": messages,
+                        "stream": args.stream,
+                        "max_tokens": args.max_tokens,
+                    }
+                    if args.stream:
+                        body["stream_options"] = {"include_usage": True}
+                    if args.scenario != "text":
+                        body["tools"] = tools
+                        if args.scenario == "parallel":
+                            body["parallel_tool_calls"] = True
+                            body["tool_choice"] = "required" if turn == 0 else "none"
+                        else:
+                            body["tool_choice"] = (
+                                "none"
+                                if turn == 2
+                                else {"type": "function", "function": {"name": "add"}}
+                            )
+                    try:
+                        result = await client.chat.completions.create(
+                            **body, extra_body=args.extra_body
+                        )
+                        if args.stream:
+                            state = ChatCompletionStreamState()
+                            events = []
+                            roles = {}
+                            async with result:
+                                async for event in result:
+                                    events.append(event.model_dump(exclude_unset=True))
+                                    state.handle_chunk(accumulation_chunk(event, roles))
+                            result = state.get_final_completion()
+                        turn_info["returned_model"] = result.model
+                        if len(result.choices) != 1:
+                            raise ValueError("The recording scenario requires exactly one choice.")
+                        choice = result.choices[0]
+                        turn_info["finish_reason"] = choice.finish_reason
+                        history = assistant_history(choice.message)
+                        if args.stream:
+                            verify_accumulation(events, history)
+                        validate_turn(history, choice.finish_reason, args.scenario, turn)
+                        messages.append(history)
+                        calls = history.get("tool_calls") or []
+                        for call in calls:
+                            function = call["function"]
+                            arguments = json.loads(function["arguments"])
+                            messages.append(
+                                {
+                                    "role": "tool",
+                                    "tool_call_id": call["id"],
+                                    "content": str(arguments["a"] + arguments["b"]),
+                                }
+                            )
+                        if args.scenario == "text" and turn == 0:
+                            messages.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": "text", "text": "Repeat the phrase"},
+                                        {
+                                            "type": "text",
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        turn_info["status"] = "complete"
+                    finally:
+                        turn_info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        # Exception strings may contain echoed headers or credentials; retain the
+        # class and stack locations while the proxy retains the reviewed response.
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96.txt
new file mode 100644
index 0000000..6cc4659
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96.txt
@@ -0,0 +1,346 @@
+#!/usr/bin/env python3
+"""
+HTTP Proxy with Request/Response Recording
+Records all traffic to YAML files for later analysis.
+
+```bash
+python scripts/recorder_proxy.py
+```
+"""
+
+import argparse
+import json
+from collections.abc import Awaitable, Callable
+from contextlib import asynccontextmanager
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any, AsyncGenerator
+
+import uvicorn
+from anyio import CancelScope
+from fastapi import FastAPI, Request, Response
+from fastapi.responses import StreamingResponse
+from httpx import URL, AsyncClient
+from loguru import logger
+from starlette.types import Send
+from uuid_utils import uuid7
+from yaml import dump as yaml_dump
+
+# Unreviewed captures must never enter the matched fixture corpus.
+OUTPUT_DIR = Path("/tmp/molto-recordings")
+TARGET_HOST = "https://api.openai.com"
+TIMEOUT = 60 * 5  # 5 minutes
+
+# Each exchange is evidence: retries would conceal the original provider failure.
+# Native SDK callers must likewise set max_retries=0.
+HTTP_CLIENT = AsyncClient(timeout=TIMEOUT)
+
+# Headers to record (whitelist)
+RECORDED_HEADERS = {
+    "content-type",
+    "content-length",
+    "authorization",
+    "user-agent",
+    "accept",
+    "accept-encoding",
+    "cache-control",
+    "connection",
+    # Helpful for grouping multi-request tool loops into a single "run"
+    "x-run-id",
+    "x-request-id",
+    "request-id",
+    "retry-after",
+}
+
+# Headers to exclude when forwarding response (they're handled by httpx/client)
+EXCLUDED_RESPONSE_HEADERS = {
+    "content-encoding",  # Already decoded by httpx
+    "content-length",  # Will be recalculated
+    "transfer-encoding",  # Handled by the server
+    "connection",  # Let the server handle this
+}
+
+
+def mask_authorization(value: str) -> str:
+    """
+    Mask Authorization header values in recordings.
+
+    Cassettes are intended to be shareable "golden" artifacts; never write any
+    API key material to disk (even partially).
+    """
+    if not value:
+        return value
+    lower = value.lower()
+    if lower.startswith("bearer "):
+        return "Bearer ***"
+    return "***"
+
+
+def filter_headers(headers) -> dict:
+    """Filter headers to only include whitelisted ones."""
+    return {
+        k: v if k.lower() != "authorization" else mask_authorization(v)
+        for k, v in headers.items()
+        if k.lower() in RECORDED_HEADERS
+    }
+
+
+def filter_response_headers(headers) -> dict:
+    """Filter response headers to exclude problematic ones."""
+    return {k: v for k, v in headers.items() if k.lower() not in EXCLUDED_RESPONSE_HEADERS}
+
+
+def save_recording(recording: dict[str, Any], filename: str):
+    """Save recording to file."""
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+    filepath = OUTPUT_DIR / filename
+    with open(filepath.with_suffix(".yaml"), "w", encoding="utf-8") as f:
+        yaml_dump(recording, f, allow_unicode=True, encoding="utf-8")
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    yield
+    await HTTP_CLIENT.aclose()
+
+
+app = FastAPI(title="Recording Proxy", lifespan=lifespan)
+
+
+class RecordingStreamingResponse(StreamingResponse):
+    def __init__(self, *args, on_close: Callable[[], Awaitable[None]], **kwargs):
+        super().__init__(*args, **kwargs)
+        self.on_close = on_close
+
+    async def stream_response(self, send: Send) -> None:
+        try:
+            await super().stream_response(send)
+        finally:
+            # A disconnect during send leaves the generator suspended at yield.
+            # Close it explicitly so its recording is saved before returning.
+            with CancelScope(shield=True):
+                try:
+                    await self.body_iterator.aclose()
+                finally:
+                    await self.on_close()
+
+
+def decode_body(body: bytes, content_type: str) -> Any:
+    """Retain malformed or non-JSON bodies without inventing a JSON representation."""
+    media_type = content_type.partition(";")[0].strip().lower()
+    if media_type == "application/json" or media_type.endswith("+json"):
+        try:
+            return json.loads(body)
+        except (ValueError, UnicodeDecodeError):
+            pass
+    try:
+        return body.decode("utf-8")
+    except UnicodeDecodeError:
+        return body
+
+
+def mask_secrets(value: Any, secrets: list[str]) -> Any:
+    """Mask known request credentials, including credentials echoed by an upstream error."""
+    if isinstance(value, dict):
+        return {key: mask_secrets(item, secrets) for key, item in value.items()}
+    if isinstance(value, list):
+        return [mask_secrets(item, secrets) for item in value]
+    if isinstance(value, (str, bytes)):
+        for secret in secrets:
+            if isinstance(value, bytes):
+                value = value.replace(secret.encode(), b"***")
+            else:
+                value = value.replace(secret, "***")
+    return value
+
+
+@app.api_route(
+    "/{path:path}",
+    methods=["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"],
+)
+async def proxy_request(request: Request, path: str) -> Response:
+    """Forward one exchange without retries and retain its observed completion state."""
+    request_id = str(uuid7())
+    now = datetime.now(timezone.utc)
+    filename = f"{now.strftime('%Y-%m-%d')}-{request_id}"
+    logger.info("Recording exchange to {}", OUTPUT_DIR / filename)
+    target = URL(TARGET_HOST)
+    if target.username or target.password or target.query:
+        raise ValueError("Configure credentials on the SDK, not in the proxy target URL")
+    target_url = f"{TARGET_HOST.rstrip('/')}/{path}"
+    secrets = [
+        value
+        for name, value in request.headers.items()
+        if name.lower() in {"authorization", "x-api-key", "api-key"} and value
+    ]
+    authorization = request.headers.get("authorization", "")
+    if authorization.lower().startswith("bearer "):
+        secrets.append(authorization[7:])
+    secrets.extend(
+        value
+        for name, value in request.query_params.multi_items()
+        if name.lower() in {"key", "api_key", "api-key", "access_token"} and value
+    )
+    body = await request.body()
+    parsed_body = decode_body(body, request.headers.get("content-type", ""))
+    recording: dict[str, Any] = {
+        "timestamp": now.isoformat(),
+        "request_id": request_id,
+        "filename": filename,
+        "upstream_url": target_url,
+        "request": {
+            "method": request.method,
+            "path": f"/{path}",
+            "query_params": dict(request.query_params),
+            "headers": filter_headers(request.headers),
+            "body": parsed_body,
+        },
+        "response": {"status_code": None, "headers": {}},
+    }
+    new_headers = {k: v for k, v in request.headers.items() if k.lower() != "host"}
+    upstream_request = HTTP_CLIENT.build_request(
+        request.method,
+        target_url,
+        params=request.query_params.multi_items(),
+        headers=new_headers,
+        content=body,
+        timeout=TIMEOUT,
+    )
+    try:
+        response = await HTTP_CLIENT.send(upstream_request, stream=True)
+    except Exception as exc:
+        # Exception text can contain credential-bearing URLs. Retain the class only.
+        recording["response"]["transport_error"] = type(exc).__name__
+        save_recording(mask_secrets(recording, secrets), filename)
+        raise
+    result = recording["response"]
+    result["status_code"] = response.status_code
+    result["headers"] = filter_headers(response.headers)
+    media_type = response.headers.get("content-type", "")
+    if media_type.partition(";")[0].strip().lower() == "text/event-stream":
+        result.update(sse=[], stream_status="disconnected", terminal_event=None, error_event=False)
+
+        async def close_stream() -> None:
+            await response.aclose()
+            save_recording(mask_secrets(recording, secrets), filename)
+
+        async def stream() -> AsyncGenerator[str, None]:
+            try:
+                async for line in response.aiter_lines():
+                    # This is ordered SSE-line evidence, not original TCP/newline bytes.
+                    result["sse"].append(f"{line}\n")
+                    if line.startswith("event:"):
+                        event_type = line.removeprefix("event:").strip()
+                        if event_type in {
+                            "response.completed",
+                            "response.incomplete",
+                            "response.failed",
+                            "message_stop",
+                        }:
+                            result["terminal_event"] = event_type
+                        if event_type == "error":
+                            result["error_event"] = True
+                    if line.startswith("data:"):
+                        data = line.removeprefix("data:").strip()
+                        if data == "[DONE]":
+                            result["terminal_event"] = "[DONE]"
+                        else:
+                            try:
+                                event = json.loads(data)
+                            except ValueError:
+                                event = None
+                            if isinstance(event, dict) and (
+                                event.get("type") == "error" or "error" in event
+                            ):
+                                result["error_event"] = True
+                    yield f"{line}\n"
+                result["stream_status"] = "complete"
+            except Exception as exc:
+                result["stream_status"] = "transport_error"
+                result["transport_error"] = type(exc).__name__
+                raise
+
+        return RecordingStreamingResponse(
+            stream(),
+            on_close=close_stream,
+            status_code=response.status_code,
+            headers=filter_response_headers(response.headers),
+        )
+
+    chunks = []
+    try:
+        async for chunk in response.aiter_bytes():
+            chunks.append(chunk)
+    except Exception as exc:
+        result["transport_error"] = type(exc).__name__
+        raise
+    finally:
+        # Retain bytes received before a read failure as incomplete evidence too.
+        response_body = b"".join(chunks)
+        result["body"] = decode_body(response_body, media_type)
+        result["body_bytes"] = response_body
+        with CancelScope(shield=True):
+            await response.aclose()
+            save_recording(mask_secrets(recording, secrets), filename)
+    return Response(
+        content=response_body,
+        status_code=response.status_code,
+        headers=filter_response_headers(response.headers),
+    )
+
+
+def main():
+    """Run the recording proxy server."""
+    global OUTPUT_DIR, TARGET_HOST
+
+    parser = argparse.ArgumentParser(
+        description="HTTP Proxy with Request/Response Recording",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+    )
+    parser.add_argument(
+        "--output-dir",
+        "-o",
+        default=OUTPUT_DIR,
+    )
+    parser.add_argument(
+        "--target",
+        "-t",
+        default=TARGET_HOST,
+    )
+    parser.add_argument(
+        "--port",
+        "-p",
+        type=int,
+        default=8080,
+    )
+    parser.add_argument(
+        "--host",
+        default="127.0.0.1",
+    )
+
+    args = parser.parse_args()
+
+    OUTPUT_DIR = Path(args.output_dir)
+    TARGET_HOST = args.target.rstrip("/")
+    target = URL(TARGET_HOST)
+    if target.username or target.password or target.query:
+        parser.error("Configure credentials on the SDK, not in the proxy target URL")
+
+    print("Recording Proxy Starting (no retries)...")
+    print(f"   Proxy: http://{args.host}:{args.port}")
+    print(f"   Target: {TARGET_HOST}")
+    print(f"   Output: {OUTPUT_DIR.absolute()}")
+    print("   Press CTRL+C to stop\n")
+
+    uvicorn.run(
+        app,
+        host=args.host,
+        port=args.port,
+        log_level="info",
+        # Access logs include the raw query string, which can contain credentials.
+        access_log=False,
+    )
+
+
+if __name__ == "__main__":
+    main()

From 7fa343b31177a77662ed281e5f336ec034ece165 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Wed, 4 Nov 2026 03:04:16 +0000
Subject: [PATCH 05/15] fix: Preserve Fireworks native conversation history

---
 docs/provider-compatibility.md                |  12 +-
 python/molto/types/anthropic_messages.py      |  18 +-
 python/molto/types/openai_chat_completions.py |   8 +-
 python/molto/types/openai_responses.py        |  15 +-
 scripts/record_native_conversation.py         | 338 ++++++++++++++++++
 scripts/record_provider_conversation.py       |  17 +-
 tests/cassettes/README.md                     |   8 +-
 tests/core/test_fireworks_conversations.py    | 195 ++++++++++
 .../test_recorded_provider_conversations.py   | 100 +++++-
 tests/test_record_native_conversation.py      | 181 ++++++++++
 tests/test_record_provider_conversation.py    |  31 +-
 tests/types/test_anthropic_messages.py        |  44 +++
 tests/types/test_openai_responses.py          |  19 +
 tests/types/test_provider_history.py          |  84 +++++
 14 files changed, 1039 insertions(+), 31 deletions(-)
 create mode 100644 scripts/record_native_conversation.py
 create mode 100644 tests/core/test_fireworks_conversations.py
 create mode 100644 tests/test_record_native_conversation.py

diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 09cc5f9..585c910 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -26,6 +26,10 @@ The destination references are [Together's OpenAI compatibility guide](https://d
 
 Native Chat accepts assistant `reasoning: str | list[str]` and the string-only `reasoning_content` alias. It preserves exact strings, whitespace, array order, empty entries, explicit null content, and valid function/custom tool histories. Reasoning extensions reject null, non-string members, and unrelated fields. Stream-only tool `index` is not accepted in submitted history; remove SDK bookkeeping before sending the collected message.
 
+Fireworks' observed assistant `tools: null` and function-call outer `name: null` placeholders are preserved in native history. Only null is accepted for these placeholders; the actual function name remains required at `function.name`. Assistant `tool_calls: null` also survives native continuation. These nulls have no translated tool semantics and do not replace request-level tool definitions. Responses function definitions may omit `strict`; native requests preserve the omission instead of inventing a default.
+
+Native Messages content preserves explicitly supplied nullable SDK fields, including `citations: null` and `caller: null`. Fireworks accepted these fields in actual continuation requests assembled by the Anthropic SDK; their presence in that history does not imply they appeared in the original response stream. Unset fields remain omitted.
+
 Translated input rejects two populated reasoning aliases. An empty string or empty array does not mask the populated alternate; an array containing an empty string remains populated. Ordered array entries become separate reasoning parts. When unsigned parts become a Chat string, their separator is a newline, including leading or trailing empty parts. The existing reasoning-before-text-before-calls history order remains enforced. Output streams finish active parts before starting subsequent text or reasoning; noncontiguous resumed calls reject explicitly.
 
 Together translates its documented `reasoning` dialect as unsigned raw reasoning. A model emitting `reasoning_content` remains native-compatible but is explicitly rejected on translated output rather than silently losing reasoning. The fresh Qwen capture below demonstrates this limitation. Fireworks Chat uses raw `reasoning_content`; its Responses and Messages profiles use summary semantics. Bedrock and OpenRouter use summary profiles. Native routes retain provider output; translated routes still reject signatures or summaries they cannot represent. No tag parsing or automatic model-specific dialect fallback is provided.
@@ -38,7 +42,7 @@ Request transport remains separate from history. For Google's literal wire `extr
 
 ## Evidence matrix
 
-The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/`. Each group has a manifest with original ordered exchanges, requested/returned model, real destination, native mode, settings, SDK/Python versions, and completion or failure status. They were recorded through the native SDK with zero retries, outside pytest, and copied without modifying their bytes. Incomplete groups are failure evidence, not complete conversation support.
+The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/` and `2026-11-04/`. Each group has a manifest with original ordered exchanges, requested/returned model, real destination, native mode, settings, SDK/Python versions, and completion or failure status. They were recorded through the native SDK with zero retries, outside pytest, and copied without modifying their bytes. Incomplete groups are failure evidence, not complete conversation support.
 
 | Provider/configuration | Fresh live evidence | Offline evidence | Remaining limitations |
 | --- | --- | --- | --- |
@@ -46,9 +50,13 @@ The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/`.
 | Together, `meta-llama/Llama-3.3-70B-Instruct-Turbo`, Chat | HTTP 400 `model_not_available` | Original error body retained | Account cannot use this model as a serverless endpoint |
 | Gemini, `gemini-3.8-flash`, Chat | HTTP 400 location restriction | Native extension round trips, index repair/ambiguity, translation rejection, exact nested Google wire envelope (synthetic) | No successful live model conversation from this environment |
 | OpenRouter, each protocol | None; credential unavailable | Destination/authentication/native SDK replay and Responses format continuation (synthetic) | Model routing, required backend state, live text/tools, translated provider semantics unknown |
-| Fireworks, each protocol independently | None; credential unavailable | Exact per-protocol destinations/authentication and native SDK replay | Model-specific reasoning/history, usage placement, stored/manual Responses continuation and live text/tools unknown |
+| Fireworks, Nemotron Lightning, Chat | Two-turn text, three-turn sequential tools, and two-turn parallel tools, each in both native modes with reasoning `none` and `low` | Native SDK output and actual-output continuation replay; narrow nullable history placeholders | Initial streams submitted SDK-invented null bookkeeping that Fireworks rejected. Those failed captures are retained; successful captures omit only bookkeeping absent from the wire. Other models and images untested |
+| Fireworks, Nemotron Lightning, Responses | The same 12 conversation cells, independently recorded with manual `store=false` history | Native SDK output, reasoning summaries, tool IDs/results, and exact next-request history | Stored `previous_response_id` continuation untested; low reasoning has no encrypted signature and summary translation rejects it |
+| Fireworks, Nemotron Lightning, Messages | The same 12 conversation cells, independently recorded with actual content-block history | Native SDK output, final-event usage, tool IDs/results, and exact next-request history | Low reasoning emits thinking with an empty signature; summary translation rejects this unsupported state. Other models and images untested |
 | Bedrock, explicit reported regional URLs | None; credential/profile unavailable | URL joining, Bearer authentication, native SDK replay | Exact live model/profile mapping, reasoning, full tools and both native modes unknown |
 
 `tests/cassettes/reference_pr76/` retains deliberately matched historical success fixtures from [PR #76, commit 42b9040](https://github.com/EmbeddedLLM/molto/pull/76/commits/42b9040cb2c74b3676d1749b2c4473c16b3bda9f). They cover text, raw reasoning, remote/data images, sequential tools, named/disabled tool choice, and parallel calls. Their manifest records original paths and hashes. These are independent of fresh provider availability. Historical Together error fixtures retain original response bodies/status/headers; aligned or shortened requests do not establish a live error reproduction.
 
+The Fireworks model is `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b`. Its 47 capture groups contain 36 completed conversations and 11 incomplete attempts, totaling 101 HTTP exchanges. Incomplete attempts retain provider errors, exhausted token budgets, or unmet scenario assertions. Messages low reasoning uses a 1024-token thinking budget; one text retry increased the output limit to 4096. This evidence is specific to the recorded model, settings, and date. Translated replay covers each completed stream's first turn through both other protocols in both downstream modes, comparing independent SDK content, calls, usage, and termination or asserting unsupported unsigned-summary rejection. Chat raw reasoning translates successfully; Responses and Messages low reasoning remain unsupported. Translated replay does not establish that translated request bodies were executed live or that translated multi-turn continuation works.
+
 Synthetic SDK parity probes and replayed OpenAI/Anthropic fixtures establish local routing and serialization only. They do not turn an unrecorded provider cell into live support. Full issue #78 completion still requires the unknown provider cells, broader model-specific continuation evidence, and the separate Anthropic dependency.
diff --git a/python/molto/types/anthropic_messages.py b/python/molto/types/anthropic_messages.py
index 657d14f..6296a49 100644
--- a/python/molto/types/anthropic_messages.py
+++ b/python/molto/types/anthropic_messages.py
@@ -19,7 +19,7 @@
     ToolChoiceParam,
     ToolUnionParam,
 )
-from pydantic import Field, TypeAdapter
+from pydantic import Field, SerializationInfo, TypeAdapter, field_serializer
 from typing_extensions import NotRequired, Required, TypedDict
 
 from molto.types.base import ExcludeNoneModel
@@ -41,6 +41,7 @@ class AnthropicThinkingBlockParam(TypedDict):
     *_RETAINED_CONTENT_BLOCKS,  # pyright: ignore[reportInvalidTypeForm]
     ContentBlock,
 ]
+_CONTENT_ADAPTER = TypeAdapter(str | list[AnthropicContentBlockParam])
 
 
 class AnthropicMessageParam(ExcludeNoneModel):
@@ -55,6 +56,21 @@ class AnthropicMessageParam(ExcludeNoneModel):
         Field(description="The role that produced the conversation turn."),
     ]
 
+    @field_serializer("content")
+    def serialize_content(self, content, info: SerializationInfo):
+        # Explicit block nulls (such as citations and tool callers) are native
+        # history values; unset optional request parameters still stay omitted.
+        return _CONTENT_ADAPTER.dump_python(
+            content,
+            mode=info.mode,
+            include=info.include,
+            exclude=info.exclude,
+            by_alias=info.by_alias,
+            exclude_unset=info.exclude_unset,
+            exclude_defaults=info.exclude_defaults,
+            exclude_none=False,
+        )
+
 
 class AnthropicMessagesCreateRequest(ExcludeNoneModel):
     """The JSON parameters accepted by `AsyncAnthropic.messages.create`."""
diff --git a/python/molto/types/openai_chat_completions.py b/python/molto/types/openai_chat_completions.py
index ba40fed..f994ac5 100644
--- a/python/molto/types/openai_chat_completions.py
+++ b/python/molto/types/openai_chat_completions.py
@@ -109,8 +109,10 @@ class ChatCompletionRefusalPartParam(ChatCompletionContentPartRefusalParam):
 
 
 class ChatCompletionFunctionToolCallParam(ChatCompletionMessageFunctionToolCallParam):
-    """A function call retaining its own Google continuation state."""
+    """A function call retaining provider continuation fields."""
 
+    # Fireworks emits a null outer name; the required function.name owns identity.
+    name: NotRequired[None]
     extra_content: NotRequired[GoogleExtraContent]
 
 
@@ -127,9 +129,11 @@ class ChatCompletionAssistantMessageWithReasoningParam(ChatCompletionAssistantMe
 
     reasoning_content: NotRequired[str]
     reasoning: NotRequired[str | list[str]]
+    # Fireworks returns this empty output placeholder and accepts it in history.
+    tools: NotRequired[None]
     extra_content: NotRequired[GoogleExtraContent]
     tool_calls: NotRequired[
-        list[ChatCompletionFunctionToolCallParam | ChatCompletionMessageCustomToolCallParam]
+        list[ChatCompletionFunctionToolCallParam | ChatCompletionMessageCustomToolCallParam] | None
     ]
     content: NotRequired[
         str | list[ChatCompletionTextPartParam | ChatCompletionRefusalPartParam] | None
diff --git a/python/molto/types/openai_responses.py b/python/molto/types/openai_responses.py
index c804d9b..8b71174 100644
--- a/python/molto/types/openai_responses.py
+++ b/python/molto/types/openai_responses.py
@@ -12,6 +12,7 @@
 from openai import AsyncStream
 from openai.types.responses import Response, ResponseCompletedEvent, ResponseStreamEvent
 from openai.types.responses.easy_input_message_param import EasyInputMessageParam
+from openai.types.responses.function_tool_param import FunctionToolParam
 from openai.types.responses.response_create_params import (
     ContextManagement,
     Conversation,
@@ -168,6 +169,18 @@ class ResponseInputMessageParam(SDKResponseInputMessageParam):
 OpenAIResponsesInputParam: TypeAlias = list[OpenAIResponsesInputItemParam]
 
 
+class ResponseFunctionToolOptionalStrictParam(FunctionToolParam, total=False):
+    """Preserve omitted strictness accepted by recorded compatible Responses APIs."""
+
+    strict: bool | None
+
+
+OpenAIResponsesToolParam: TypeAlias = Union[
+    ResponseFunctionToolOptionalStrictParam,
+    *(item for item in get_args(ToolParam) if item is not FunctionToolParam),  # pyright: ignore[reportInvalidTypeForm]
+]
+
+
 class OpenAIResponsesCreateRequest(ExcludeNoneModel):
     """The JSON parameters accepted by `AsyncOpenAI.responses.create`.
 
@@ -283,7 +296,7 @@ class OpenAIResponsesCreateRequest(ExcludeNoneModel):
         Field(description="How the model should select tools."),
     ] = None
     tools: Annotated[
-        list[ToolParam] | None,
+        list[OpenAIResponsesToolParam] | None,
         Field(description="Tools available to the model."),
     ] = None
     top_logprobs: Annotated[
diff --git a/scripts/record_native_conversation.py b/scripts/record_native_conversation.py
new file mode 100644
index 0000000..4f20f1b
--- /dev/null
+++ b/scripts/record_native_conversation.py
@@ -0,0 +1,338 @@
+#!/usr/bin/env python3
+"""Record native Responses or Messages conversations independently of Molto.
+
+Use the Chat driver for Chat Completions. This companion retains actual Responses
+output or SDK-collected Messages blocks as history and stops on incomplete turns.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from anthropic import AsyncAnthropic
+from dotenv import load_dotenv
+from openai import AsyncOpenAI, omit
+
+from scripts import record_provider_conversation, recorder_proxy
+from scripts.record_provider_conversation import validate_turn
+
+
+def initial_history(protocol: str, scenario: str) -> list[dict]:
+    if scenario == "text":
+        part_type = "input_text" if protocol == "responses" else "text"
+        return [
+            {
+                "role": "user",
+                "content": [
+                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
+                    {"type": part_type, "text": "Reply briefly."},
+                ],
+            }
+        ]
+    prompt = (
+        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
+        if scenario == "tools"
+        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+    )
+    return [{"role": "user", "content": prompt}]
+
+
+def request_body(args, history: list[dict], turn: int) -> dict:
+    body = {"model": args.model}
+    schema = {
+        "type": "object",
+        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+        "required": ["a", "b"],
+        "additionalProperties": False,
+    }
+    final = turn == (2 if args.scenario == "tools" else 1)
+    if args.protocol == "responses":
+        body.update(
+            input=history,
+            store=False,
+            max_output_tokens=args.max_tokens,
+            reasoning={"effort": args.reasoning},
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {
+                    "type": "function",
+                    "name": "add",
+                    "description": "Add two integers.",
+                    "parameters": schema,
+                }
+            ]
+            body["tool_choice"] = (
+                "none"
+                if final
+                else "required"
+                if args.scenario == "parallel"
+                else {"type": "function", "name": "add"}
+            )
+            body["parallel_tool_calls"] = args.scenario == "parallel"
+    else:
+        body.update(messages=history, max_tokens=args.max_tokens)
+        body["thinking"] = (
+            {"type": "disabled"}
+            if args.reasoning == "none"
+            else {"type": "enabled", "budget_tokens": 1024}
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {"name": "add", "description": "Add two integers.", "input_schema": schema}
+            ]
+            body["tool_choice"] = (
+                {"type": "none"}
+                if final
+                else {"type": "auto"}
+                if args.reasoning != "none"
+                else {"type": "any", "disable_parallel_tool_use": False}
+                if args.scenario == "parallel"
+                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
+            )
+    return body
+
+
+async def result_and_history(client, args, body: dict):
+    if args.protocol == "responses":
+        result = await client.responses.create(**body, stream=args.stream)
+        if args.stream:
+            terminal = None
+            async with result:
+                async for event in result:
+                    if event.type in {
+                        "response.completed",
+                        "response.incomplete",
+                        "response.failed",
+                    }:
+                        if terminal is not None:
+                            raise ValueError("Multiple Responses terminal events.")
+                        terminal = event.response
+            if terminal is None:
+                raise ValueError("Responses stream has no terminal result.")
+            result = terminal
+        if result.status != "completed":
+            raise ValueError("Responses result did not complete.")
+        content = [item.model_dump(exclude_unset=True) for item in result.output]
+        calls = [
+            {
+                "id": item["call_id"],
+                "type": "function",
+                "function": {"name": item["name"], "arguments": item["arguments"]},
+            }
+            for item in content
+            if item["type"] == "function_call"
+        ]
+        text = "".join(
+            part["text"]
+            for item in content
+            if item["type"] == "message"
+            for part in item["content"]
+            if part["type"] == "output_text"
+        )
+        reason = "tool_calls" if calls else "stop"
+        history = content
+    else:
+        if args.stream:
+            async with client.messages.stream(**body) as stream:
+                stops = 0
+                async for event in stream:
+                    if event.type == "message_stop":
+                        stops += 1
+                if stops != 1:
+                    raise ValueError("Messages stream must contain exactly one message_stop.")
+                result = await stream.get_final_message()
+        else:
+            result = await client.messages.create(**body, stream=False)
+        content = [
+            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
+            for part in result.content
+        ]
+        calls = [
+            {
+                "id": part["id"],
+                "type": "function",
+                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
+            }
+            for part in content
+            if part["type"] == "tool_use"
+        ]
+        text = "".join(part["text"] for part in content if part["type"] == "text")
+        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
+            result.stop_reason, result.stop_reason
+        )
+        history = [{"role": "assistant", "content": content}]
+    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
+
+
+async def record(args) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    if args.protocol == "messages" and any(
+        line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
+        for line in os.environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
+    ):
+        raise ValueError(
+            "Remove authentication entries from ANTHROPIC_CUSTOM_HEADERS before recording."
+        )
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "source_hashes": {
+            name: sha256(Path(path).read_bytes()).hexdigest()
+            for name, path in {
+                "driver_sha256": __file__,
+                "recorder_sha256": recorder_proxy.__file__,
+                "validation_sha256": record_provider_conversation.__file__,
+            }.items()
+        },
+        "provider": args.provider,
+        "upstream_protocol": args.protocol,
+        "upstream_url": args.base_url.rstrip("/")
+        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
+        "requested_model": args.model,
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "reasoning_setting": args.reasoning,
+        "max_tokens": args.max_tokens,
+        "extra_body": None,
+        "authentication": f"{'Bearer' if args.protocol == 'responses' else 'x-api-key'} credential from {args.key_env}; value excluded",
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+        "turns": [],
+        "status": "incomplete",
+    }
+    history = initial_history(args.protocol, args.scenario)
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
+            async with client_type(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                default_headers=(
+                    {
+                        "Authorization": f"Bearer {key}",
+                        "OpenAI-Organization": omit,
+                        "OpenAI-Project": omit,
+                    }
+                    if args.protocol == "responses"
+                    else None
+                ),
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(info)
+                    try:
+                        result, output, validation, reason = await result_and_history(
+                            client, args, request_body(args, history, turn)
+                        )
+                        info["returned_model"] = result.model
+                        info["finish_reason"] = reason
+                        validate_turn(validation, reason, args.scenario, turn)
+                        history.extend(output)
+                        tool_results = []
+                        for call in validation["tool_calls"]:
+                            values = json.loads(call["function"]["arguments"])
+                            answer = str(values["a"] + values["b"])
+                            if args.protocol == "responses":
+                                history.append(
+                                    {
+                                        "type": "function_call_output",
+                                        "call_id": call["id"],
+                                        "output": answer,
+                                    }
+                                )
+                            else:
+                                tool_results.append(
+                                    {
+                                        "type": "tool_result",
+                                        "tool_use_id": call["id"],
+                                        "content": answer,
+                                    }
+                                )
+                        if tool_results:
+                            history.append({"role": "user", "content": tool_results})
+                        if args.scenario == "text" and turn == 0:
+                            part_type = "input_text" if args.protocol == "responses" else "text"
+                            history.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": part_type, "text": "Repeat the phrase"},
+                                        {
+                                            "type": part_type,
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        info["status"] = "complete"
+                    finally:
+                        info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(
+        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
+    )
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/scripts/record_provider_conversation.py b/scripts/record_provider_conversation.py
index 46f65e6..fe62e1b 100644
--- a/scripts/record_provider_conversation.py
+++ b/scripts/record_provider_conversation.py
@@ -27,10 +27,18 @@
 from scripts import recorder_proxy
 
 
-def assistant_history(message) -> dict:
+def assistant_history(message, events: list[dict] | None = None) -> dict:
     """Remove only SDK bookkeeping and empty output-only annotations."""
     history = message.model_dump(exclude_unset=True)
     history.pop("parsed", None)
+    if events is not None:
+        emitted = {
+            field for event in events for choice in event["choices"] for field in choice["delta"]
+        }
+        # Fireworks rejects these SDK-created nulls when they were absent on wire.
+        for field in ("annotations", "audio", "function_call"):
+            if history.get(field) is None and field not in emitted:
+                history.pop(field, None)
     if history.get("annotations") == []:
         history.pop("annotations")
     for call in history.get("tool_calls") or []:
@@ -164,6 +172,9 @@ async def record(args: argparse.Namespace) -> int:
             "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
             "original SSE and role metadata retained and checked independently"
         ),
+        "history_policy": (
+            "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
+        ),
         "turns": [],
         "status": "incomplete",
     }
@@ -259,7 +270,9 @@ async def record(args: argparse.Namespace) -> int:
                             raise ValueError("The recording scenario requires exactly one choice.")
                         choice = result.choices[0]
                         turn_info["finish_reason"] = choice.finish_reason
-                        history = assistant_history(choice.message)
+                        history = assistant_history(
+                            choice.message, events if args.stream else None
+                        )
                         if args.stream:
                             verify_accumulation(events, history)
                         validate_turn(history, choice.finish_reason, args.scenario, turn)
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index 3611546..21d6cdb 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -147,8 +147,12 @@ uv run --extra test python -m scripts.record_provider_conversation \
   --scenario tools --output-dir /tmp/molto-recordings/together-tools
 ```
 
-Add `--stream` to record native streaming independently. `--scenario text` records two turns; `tools` records three sequential turns; `parallel` requires two distinct calls and their results. Failed SDK accumulation or incomplete scenarios retain the capture and failure manifest. The driver is Chat-only; other protocols need their native SDK scenario driver before new coverage can be claimed.
+Add `--stream` to record native streaming independently. `--scenario text` records two turns; `tools` records three sequential turns; `parallel` requires two distinct calls and their results. Failed SDK accumulation or incomplete scenarios retain the capture and failure manifest.
+
+`scripts/record_native_conversation.py` provides the corresponding Responses and Messages driver. Select `--protocol responses` or `messages`, `--reasoning none` or `low`, and the provider's SDK base URL. Responses uses manual `store=false` actual-output history; Messages uses the SDK's final content blocks. Responses requires a completed terminal result, and Messages streaming requires exactly one observed `message_stop`; an SDK snapshot alone cannot certify completion.
+
+Chat streaming can acquire SDK-generated `annotations`, `audio`, and `function_call` null fields absent from the wire. The current driver omits those fields only when no upstream delta emitted them, records the policy in the manifest, and preserves explicitly emitted nulls. Original failed attempts using the earlier history policy remain unchanged. Messages history excludes SDK parser bookkeeping (`__json_buf` and `parsed_output`) while retaining provider fields.
 
 Inspect staged captures, scan credentials and private content, and validate actual SDK output against subsequent requests. Copy approved originals unchanged into a recorded directory and commit before editing matched copies. Never generate expected fixtures from Molto output or run pytest in recording mode.
 
-See the [provider evidence matrix](../../docs/provider-compatibility.md) for fresh `provider_recordings/2026-11-03/` captures and the separate historical matched `reference_pr76/` corpus. Together error fixtures imported from PR #76 commit `42b9040cb2c74b3676d1749b2c4473c16b3bda9f` retain their original bytes; they are historical response evidence with matched requests, not fresh live availability.
+See the [provider evidence matrix](../../docs/provider-compatibility.md) for fresh `provider_recordings/2026-11-03/` and `2026-11-04/` captures and the separate historical matched `reference_pr76/` corpus. Fireworks manifests reference exact capture-time driver, validation, and recorder source hashes; the corresponding `sources/<sha256>.txt` snapshots preserve those revisions independently of later driver fixes. Together error fixtures imported from PR #76 commit `42b9040cb2c74b3676d1749b2c4473c16b3bda9f` retain their original bytes; they are historical response evidence with matched requests, not fresh live availability.
diff --git a/tests/core/test_fireworks_conversations.py b/tests/core/test_fireworks_conversations.py
new file mode 100644
index 0000000..cc0bdce
--- /dev/null
+++ b/tests/core/test_fireworks_conversations.py
@@ -0,0 +1,195 @@
+"""Replay independently recorded Fireworks protocol conversations and translated output."""
+
+import json
+from contextlib import nullcontext
+from pathlib import Path
+
+import httpx
+import pytest
+from anthropic import AsyncAnthropic
+from openai import AsyncOpenAI
+
+from molto import Molto
+from molto.utils.io import dumps_sse, json_loads, read_yaml
+from tests.core.test_interface import _assert_responses_stream_invariants
+from tests.core.test_recorded_provider_conversations import collect, replay_conversation
+from tests.core.test_together_conversations import _semantics
+
+ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
+GROUPS = [
+    path.parent
+    for path in sorted(ROOT.glob("fireworks-*/manifest.json"))
+    if json.loads(path.read_text())["status"] == "complete"
+]
+
+
+@pytest.mark.parametrize("group", GROUPS, ids=lambda path: path.name)
+async def test_fireworks_native_conversation_sdk_parity(group):
+    """Ensures native Fireworks output and actual subsequent history match independent SDK replay."""
+    manifest = json.loads((group / "manifest.json").read_text())
+    await replay_conversation(group, protocol=manifest["upstream_protocol"])
+
+
+def translated_request(recorded, upstream, downstream, stream):
+    """Build only the captured user text and function definitions in another protocol."""
+    history = recorded["input" if upstream == "responses" else "messages"]
+    assert len(history) == 1 and history[0]["role"] == "user"
+    content = history[0]["content"]
+    parts = [content] if isinstance(content, str) else [part["text"] for part in content]
+    body = {"model": recorded["model"], "stream": stream}
+    body["input" if downstream == "responses" else "messages"] = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "input_text" if downstream == "responses" else "text", "text": part}
+                for part in parts
+            ],
+        }
+    ]
+    limit = next(
+        recorded[key]
+        for key in ("max_tokens", "max_output_tokens", "max_completion_tokens")
+        if key in recorded
+    )
+    body["max_output_tokens" if downstream == "responses" else "max_tokens"] = limit
+    if recorded.get("tools"):
+        tool = recorded["tools"][0]
+        function = tool["function"] if upstream == "chat/completions" else tool
+        payload = {
+            "name": function["name"],
+            "description": function["description"],
+            "parameters": function["input_schema" if upstream == "messages" else "parameters"],
+            "strict": False,
+        }
+        body["tools"] = [
+            {"type": "function", "function": payload}
+            if downstream == "chat/completions"
+            else {"type": "function", **payload}
+            if downstream == "responses"
+            else {
+                "name": payload["name"],
+                "description": payload["description"],
+                "input_schema": payload["parameters"],
+            }
+        ]
+    return body
+
+
+@pytest.mark.parametrize(
+    ("group", "downstream"),
+    [
+        pytest.param(group, downstream, id=f"{group.name}-{downstream}")
+        for group in GROUPS
+        if json.loads((group / "manifest.json").read_text())["stream"]
+        for downstream in ("chat/completions", "responses", "messages")
+        if downstream != json.loads((group / "manifest.json").read_text())["upstream_protocol"]
+    ],
+)
+@pytest.mark.parametrize("stream", [False, True])
+async def test_fireworks_translated_first_turn_sdk_semantics(group, downstream, stream):
+    """Ensures recorded first-turn content, calls, usage and lifecycle survive public translation."""
+    manifest = json.loads((group / "manifest.json").read_text())
+    upstream = manifest["upstream_protocol"]
+    recording = read_yaml(group / manifest["turns"][0]["files"][0])
+    recorded = recording["request"]["body"]
+    body = translated_request(recorded, upstream, downstream, stream)
+    expected = translated_request(recorded, upstream, upstream, True)
+    # This offline output smoke keeps captured provider controls as explicit overrides;
+    # it does not claim the translated request was itself executed against Fireworks.
+    controls = {
+        key: recorded[key]
+        for key in (
+            "reasoning",
+            "reasoning_effort",
+            "thinking",
+            "tool_choice",
+            "parallel_tool_calls",
+            "store",
+        )
+        if key in recorded
+    }
+    expected.update(controls)
+    if upstream == "chat/completions":
+        expected["max_completion_tokens"] = expected.pop("max_tokens")
+        expected["stream_options"] = {"include_usage": True}
+    if downstream == "messages" and upstream != "messages":
+        expected.setdefault("stream_options", {})["include_obfuscation"] = False
+    calls = 0
+
+    def handler(request):
+        nonlocal calls
+        calls += 1
+        assert str(request.url) == manifest["upstream_url"]
+        assert json_loads(request.content) == expected
+        return httpx.Response(
+            200,
+            text="".join(recording["response"]["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(
+                200,
+                text="".join(recording["response"]["sse"]),
+                headers={"content-type": "text/event-stream"},
+            )
+        )
+    ) as transport:
+        sdk = (
+            AsyncAnthropic(api_key="test", http_client=transport)
+            if upstream == "messages"
+            else AsyncOpenAI(api_key="test", http_client=transport)
+        )
+        create = (
+            sdk.messages.create
+            if upstream == "messages"
+            else sdk.responses.create
+            if upstream == "responses"
+            else sdk.chat.completions.create
+        )
+        reference, _ = await collect(await create(**recorded), True, upstream)
+    rejection = None
+    if upstream == "messages" and any(
+        block.type == "thinking" and block.thinking and not block.signature
+        for block in reference.content
+    ):
+        rejection = "An Anthropic reasoning summary requires a signature."
+    if upstream == "responses" and any(
+        item.type == "reasoning" and item.summary and not item.encrypted_content
+        for item in reference.output
+    ):
+        rejection = "A Responses reasoning summary requires a signature."
+    transport = httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    with pytest.raises(ValueError, match=rejection) if rejection else nullcontext():
+        async with Molto(http_client=transport) as molto:
+            result = await getattr(molto, downstream.replace("/", "_"))(
+                body, provider="fireworks", endpoint=upstream, api_key="test", extra_body=controls
+            )
+            actual, events = await collect(result, stream, downstream)
+    assert calls == 1
+    assert transport.is_closed
+    if rejection:
+        return
+    expected_semantics = _semantics(reference, upstream)
+    actual_semantics = _semantics(actual, downstream)
+    assert actual_semantics == expected_semantics
+    if stream and downstream == "responses":
+        _assert_responses_stream_invariants([dumps_sse(event) for event in events])
+
+    if stream and downstream == "messages":
+        assert events[0]["type"] == "message_start"
+        assert events[-1]["type"] == "message_stop"
+        starts = [event["index"] for event in events if event["type"] == "content_block_start"]
+        stops = [event["index"] for event in events if event["type"] == "content_block_stop"]
+        assert starts == stops == list(range(len(starts)))
+    if stream and downstream == "chat/completions":
+        assert sum(bool(event["usage"]) for event in events) == 1
+        assert (
+            sum(
+                choice["finish_reason"] is not None
+                for event in events
+                for choice in event["choices"]
+            )
+            == 1
+        )
diff --git a/tests/core/test_recorded_provider_conversations.py b/tests/core/test_recorded_provider_conversations.py
index fdb0ed2..9a3b0af 100644
--- a/tests/core/test_recorded_provider_conversations.py
+++ b/tests/core/test_recorded_provider_conversations.py
@@ -6,6 +6,7 @@
 
 import httpx
 import pytest
+from anthropic import AsyncAnthropic
 from openai import AsyncOpenAI
 from openai.lib.streaming.chat import ChatCompletionStreamState
 from pydantic import ValidationError
@@ -17,6 +18,7 @@
     assistant_history,
     verify_accumulation,
 )
+from tests.core.history_helpers import _collect_response
 
 ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-03"
 GROUPS = [
@@ -32,41 +34,62 @@
     "together-qwen-text-nonstream": {"reasoning_content": "string_type"},
     "together-qwen-text-stream": {
         "reasoning_content": "string_type",
-        "tool_calls": "list_type",
         "annotations": "extra_forbidden",
     },
     "together-qwen-tools-stream": {"annotations": "extra_forbidden"},
 }
 
 
-async def collect(result, stream):
+async def collect(result, stream, protocol="chat/completions"):
     if not stream:
         return result, result.model_dump()
+    if protocol != "chat/completions":
+        async with result:
+            events = [event async for event in result]
+        return _collect_response(events, protocol), [event.model_dump() for event in events]
     state = ChatCompletionStreamState()
     events = []
     roles = {}
     async with result:
         async for event in result:
-            events.append(event.model_dump())
+            events.append(event.model_dump(exclude_unset=True))
             state.handle_chunk(accumulation_chunk(event, roles))
     completion = state.get_final_completion()
     verify_accumulation(events, assistant_history(completion.choices[0].message))
     return completion, events
 
 
-async def replay_conversation(group, rejected_history=None):
+def response_history(response, protocol, *, events=None):
+    """Retain native output fields and remove only incremental SDK parser bookkeeping."""
+    if protocol == "chat/completions":
+        return [assistant_history(response.choices[0].message, events=events)]
+    if protocol == "responses":
+        return [item.model_dump(exclude_unset=True) for item in response.output]
+    return [
+        {
+            "role": response.role,
+            "content": [
+                block.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
+                for block in response.content
+            ],
+        }
+    ]
+
+
+async def replay_conversation(group, rejected_history=None, *, protocol="chat/completions"):
     """Replay every SDK turn and assert Molto parity up to an explicit history boundary."""
     manifest = json.loads((group / "manifest.json").read_text())
     recordings = [read_yaml(group / turn["files"][0]) for turn in manifest["turns"]]
     stream = manifest["stream"]
-    messages = deepcopy(recordings[0]["request"]["body"]["messages"])
+    history_key = "input" if protocol == "responses" else "messages"
+    messages = deepcopy(recordings[0]["request"]["body"][history_key])
     calls = 0
     rejected = False
     for turn, recording in enumerate(recordings):
         expected_body = recording["request"]["body"]
-        assert messages == expected_body["messages"]
-        body = {**deepcopy(expected_body), "messages": deepcopy(messages)}
-        extra_body = manifest["extra_body"]
+        assert messages == expected_body[history_key]
+        body = {**deepcopy(expected_body), history_key: deepcopy(messages)}
+        extra_body = manifest.get("extra_body")
         for key in extra_body or {}:
             body.pop(key)
 
@@ -75,7 +98,10 @@ def handler(request, expected_body=expected_body, recording=recording):
             calls += 1
             assert str(request.url) == manifest["upstream_url"]
             assert json_loads(request.content) == expected_body
-            assert request.headers["authorization"] == "Bearer replay-key"
+            if protocol == "messages":
+                assert request.headers["x-api-key"] == "replay-key"
+            else:
+                assert request.headers["authorization"] == "Bearer replay-key"
             recorded = recording["response"]
             if "sse" in recorded:
                 return httpx.Response(
@@ -90,14 +116,23 @@ def handler(request, expected_body=expected_body, recording=recording):
             )
 
         async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-            sdk = AsyncOpenAI(
+            sdk_type = AsyncAnthropic if protocol == "messages" else AsyncOpenAI
+            suffix = "/v1/messages" if protocol == "messages" else f"/{protocol}"
+            sdk = sdk_type(
                 api_key="replay-key",
-                base_url=manifest["upstream_url"].removesuffix("/chat/completions"),
+                base_url=manifest["upstream_url"].removesuffix(suffix),
                 http_client=transport,
                 max_retries=0,
             )
+            create = (
+                sdk.messages.create
+                if protocol == "messages"
+                else sdk.responses.create
+                if protocol == "responses"
+                else sdk.chat.completions.create
+            )
             reference, expected_output = await collect(
-                await sdk.chat.completions.create(**body, extra_body=extra_body), stream
+                await create(**body, extra_body=extra_body), stream, protocol
             )
         if rejected_history and turn == 1:
             before = calls
@@ -105,7 +140,7 @@ def handler(request, expected_body=expected_body, recording=recording):
                 http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
             ) as molto:
                 with pytest.raises(ValidationError) as error:
-                    await molto.chat_completions(
+                    await getattr(molto, protocol.replace("/", "_"))(
                         body,
                         provider=manifest["provider"],
                         api_key="replay-key",
@@ -127,28 +162,55 @@ def handler(request, expected_body=expected_body, recording=recording):
                 http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
             ) as molto:
                 actual, actual_output = await collect(
-                    await molto.chat_completions(
+                    await getattr(molto, protocol.replace("/", "_"))(
                         body,
                         provider=manifest["provider"],
                         api_key="replay-key",
                         extra_body=extra_body,
                     ),
                     stream,
+                    protocol,
                 )
+            if protocol == "responses" and stream:
+                # Native Responses already documents omitted cache-write usage as zero.
+                # Keep every other independently SDK-parsed field exact.
+                reference = reference.model_copy(deep=True)
+                for event in expected_output:
+                    if event["type"] == "response.completed":
+                        details = event["response"]["usage"]["input_tokens_details"]
+                        if details["cache_write_tokens"] is None:
+                            details["cache_write_tokens"] = 0
+                            reference.usage.input_tokens_details.cache_write_tokens = 0
             assert actual_output == expected_output
             assert actual.model_dump() == reference.model_dump()
-            history = assistant_history(actual.choices[0].message)
+            history = response_history(
+                actual,
+                protocol,
+                events=actual_output
+                if stream and manifest.get("history_policy") == "omit-absent-sdk-null-bookkeeping"
+                else None,
+            )
         else:
             # Molto has rejected continuation. Only the independent SDK continues
             # replaying the remaining recorded turns, using its actual output.
-            history = assistant_history(reference.choices[0].message)
-        messages.append(history)
+            history = response_history(
+                reference,
+                protocol,
+                events=expected_output
+                if stream and manifest.get("history_policy") == "omit-absent-sdk-null-bookkeeping"
+                else None,
+            )
+        messages.extend(history)
         if turn + 1 < len(recordings):
-            next_messages = recordings[turn + 1]["request"]["body"]["messages"]
+            next_messages = recordings[turn + 1]["request"]["body"][history_key]
             # Compare actual output before appending only recorded new user/tool input.
             assert messages == next_messages[: len(messages)]
             suffix = next_messages[len(messages) :]
-            assert suffix and all(message["role"] in ("user", "tool") for message in suffix)
+            assert suffix and all(
+                message.get("role") in ("user", "tool")
+                or message.get("type") == "function_call_output"
+                for message in suffix
+            )
             messages.extend(deepcopy(suffix))
     assert rejected == bool(rejected_history)
     assert calls == (len(recordings) + 1 if rejected else len(recordings) * 2)
diff --git a/tests/test_record_native_conversation.py b/tests/test_record_native_conversation.py
new file mode 100644
index 0000000..c2c8615
--- /dev/null
+++ b/tests/test_record_native_conversation.py
@@ -0,0 +1,181 @@
+"""Offline checks of the standalone native Responses/Messages recording driver."""
+
+import argparse
+import json
+from pathlib import Path
+
+import httpx
+import pytest
+from anthropic import AsyncAnthropic
+from yaml import safe_load
+
+from scripts import record_native_conversation as driver
+from scripts import recorder_proxy
+
+
+@pytest.fixture
+def recording_args(monkeypatch, tmp_path):
+    """Ensure driver checks use a temporary output directory and controlled credentials."""
+    monkeypatch.setattr(driver, "load_dotenv", lambda **_: None)
+    monkeypatch.setenv("TEST_NATIVE_KEY", "native-test-key")
+    monkeypatch.delenv("ANTHROPIC_CUSTOM_HEADERS", raising=False)
+    return argparse.Namespace(
+        provider="fireworks",
+        protocol="responses",
+        key_env="TEST_NATIVE_KEY",
+        model="accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
+        base_url="https://api.fireworks.ai/inference/v1",
+        output_dir=tmp_path / "run",
+        scenario="text",
+        reasoning="none",
+        stream=False,
+        max_tokens=2048,
+    )
+
+
+@pytest.mark.parametrize("protocol", ["responses", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+@pytest.mark.parametrize("scenario", ["text", "tools"])
+async def test_native_driver_replays_exact_recorded_conversation(
+    monkeypatch, recording_args, protocol, stream, scenario
+):
+    """Ensures actual native SDK output yields each exact recorded next request and linked tool result."""
+    args = recording_args
+    args.protocol, args.stream, args.scenario = protocol, stream, scenario
+    args.base_url = "https://api.fireworks.ai/inference" + (
+        "/v1" if protocol == "responses" else ""
+    )
+    mode = "stream" if stream else "nonstream"
+    group = (
+        Path(__file__).parent
+        / "cassettes/provider_recordings/2026-11-04"
+        / f"fireworks-{protocol}-{scenario}-{mode}-none"
+    )
+    manifest = json.loads((group / "manifest.json").read_text())
+    recordings = [safe_load((group / turn["files"][0]).read_text()) for turn in manifest["turns"]]
+    requests = []
+
+    def handler(request):
+        captured = recordings[len(requests)]
+        requests.append(json.loads(request.content))
+        assert requests[-1] == captured["request"]["body"]
+        assert str(request.url) == manifest["upstream_url"]
+        if protocol == "responses":
+            assert request.headers["authorization"] == "Bearer native-test-key"
+            assert requests[-1]["store"] is False
+        else:
+            assert request.headers["x-api-key"] == "native-test-key"
+        result = captured["response"]
+        if "sse" in result:
+            return httpx.Response(
+                result["status_code"],
+                content="".join(result["sse"]),
+                headers={"content-type": "text/event-stream"},
+            )
+        return httpx.Response(
+            result["status_code"],
+            content=result["body_bytes"],
+            headers={"content-type": "application/json"},
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        assert await driver.record(args) == 0
+        assert upstream.is_closed
+    actual = json.loads((args.output_dir / "manifest.json").read_text())
+    assert actual["status"] == "complete"
+    assert len(requests) == len(recordings)
+    assert all(
+        turn["status"] == "complete" and len(turn["files"]) == 1 for turn in actual["turns"]
+    )
+
+
+async def test_messages_driver_rejects_eof_without_message_stop(recording_args):
+    """Ensures end_turn without message_stop cannot certify a truncated native Messages stream."""
+    args = recording_args
+    args.protocol, args.stream = "messages", True
+    events = [
+        {
+            "type": "message_start",
+            "message": {
+                "id": "m",
+                "type": "message",
+                "role": "assistant",
+                "model": "m",
+                "content": [],
+                "stop_reason": None,
+                "stop_sequence": None,
+                "usage": {"input_tokens": 1, "output_tokens": 0},
+            },
+        },
+        {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}},
+        {
+            "type": "content_block_delta",
+            "index": 0,
+            "delta": {"type": "text_delta", "text": "Partial answer"},
+        },
+        {"type": "content_block_stop", "index": 0},
+        {
+            "type": "message_delta",
+            "delta": {"stop_reason": "end_turn", "stop_sequence": None},
+            "usage": {"output_tokens": 2},
+        },
+    ]
+    data = "".join(f"event: {event['type']}\ndata: {json.dumps(event)}\n\n" for event in events)
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(200, text=data, headers={"content-type": "text/event-stream"})
+        )
+    ) as transport:
+        async with AsyncAnthropic(api_key="test", http_client=transport, max_retries=0) as client:
+            with pytest.raises(ValueError, match="exactly one message_stop"):
+                await driver.result_and_history(
+                    client,
+                    args,
+                    {
+                        "model": "m",
+                        "max_tokens": 10,
+                        "messages": [{"role": "user", "content": "Hi"}],
+                    },
+                )
+
+
+@pytest.mark.parametrize("stream", [False, True])
+async def test_native_driver_retains_incomplete_failure_manifest(
+    monkeypatch, recording_args, stream
+):
+    """Ensures incomplete Responses output retains its HTTP evidence and failed turn instead of successful history."""
+    args = recording_args
+    args.stream = stream
+    payload = {"id": "r", "object": "response", "status": "incomplete", "model": "m", "output": []}
+
+    def handler(request):
+        if stream:
+            data = {"type": "response.incomplete", "sequence_number": 0, "response": payload}
+            return httpx.Response(
+                200,
+                text="event: response.incomplete\ndata: " + json.dumps(data) + "\n\n",
+                headers={"content-type": "text/event-stream"},
+            )
+        return httpx.Response(200, json=payload)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
+        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
+        assert await driver.record(args) == 1
+    manifest = json.loads((args.output_dir / "manifest.json").read_text())
+    assert manifest["status"] == manifest["turns"][0]["status"] == "incomplete"
+    assert manifest["failure"]["type"] == "ValueError"
+    assert len(manifest["turns"][0]["files"]) == 1
+    assert (args.output_dir / manifest["turns"][0]["files"][0]).exists()
+
+
+@pytest.mark.parametrize("header", ["Authorization", "x-api-key", "X-API-KEY"])
+async def test_native_driver_rejects_conflicting_auth_before_recording(
+    monkeypatch, recording_args, header
+):
+    """Ensures Anthropic custom headers cannot override the manifest's selected provider credential."""
+    recording_args.protocol = "messages"
+    monkeypatch.setenv("ANTHROPIC_CUSTOM_HEADERS", header + ": unrelated-key")
+    with pytest.raises(ValueError, match="ANTHROPIC_CUSTOM_HEADERS"):
+        await driver.record(recording_args)
+    assert not recording_args.output_dir.exists()
diff --git a/tests/test_record_provider_conversation.py b/tests/test_record_provider_conversation.py
index 2c3e2a1..3b4e879 100644
--- a/tests/test_record_provider_conversation.py
+++ b/tests/test_record_provider_conversation.py
@@ -169,7 +169,7 @@ async def test_complete_native_conversations_carry_actual_history(
     expected_first = deepcopy(first)
     if stream:
         # The pinned SDK's snapshot explicitly materializes these null placeholders.
-        for field in ("annotations", "audio", "function_call", "refusal", "tool_calls"):
+        for field in ("refusal", "tool_calls"):
             expected_first.setdefault(field, None)
     assert requests[1]["messages"][1] == expected_first
     if scenario == "text":
@@ -193,7 +193,7 @@ async def test_complete_native_conversations_carry_actual_history(
         else:
             expected_second = deepcopy(messages[1])
             if stream:
-                for field in ("annotations", "audio", "function_call", "refusal"):
+                for field in ("refusal",):
                     expected_second.setdefault(field, None)
             assert requests[2]["messages"][3] == expected_second
             assert requests[2]["messages"][4] == {
@@ -403,3 +403,30 @@ def test_accumulation_rejects_changing_roles_without_mutating_chunks():
     assert original.model_dump() == before
     with pytest.raises(ValueError, match="changed the role"):
         driver.accumulation_chunk(original, {0: "user"})
+
+
+@pytest.mark.parametrize("field", ["annotations", "audio", "function_call"])
+@pytest.mark.parametrize("emitted", [False, True])
+def test_history_omits_only_unemitted_sdk_null_bookkeeping(field, emitted):
+    """Ensures only absent SDK-created nulls are removed and native emitted nulls remain unchanged."""
+    from openai.types.chat import ChatCompletionMessage
+
+    message = ChatCompletionMessage.model_validate(
+        {
+            "role": "assistant",
+            "content": "Answer",
+            "annotations": None,
+            "audio": None,
+            "function_call": None,
+        }
+    )
+    original = message.model_dump()
+    delta = {"role": "assistant", "content": "Answer"}
+    if emitted:
+        delta[field] = None
+    history = driver.assistant_history(message, [{"choices": [{"index": 0, "delta": delta}]}])
+    assert (field in history) is emitted
+    if emitted:
+        assert history[field] is None
+    assert message.model_dump() == original
+    assert field in driver.assistant_history(message)
diff --git a/tests/types/test_anthropic_messages.py b/tests/types/test_anthropic_messages.py
index d13bcdc..0ac33d2 100644
--- a/tests/types/test_anthropic_messages.py
+++ b/tests/types/test_anthropic_messages.py
@@ -129,3 +129,47 @@ def test_stream_adapter_uses_official_response_service_tiers():
     event["message"]["usage"]["service_tier"] = "auto"
     with pytest.raises(ValidationError):
         AnthropicMessagesStreamEventAdapter.validate_python(event)
+
+
+@pytest.mark.parametrize(
+    ("block", "field"),
+    [
+        ({"type": "text", "text": "Keep  exact\ntext"}, "citations"),
+        ({"type": "tool_use", "id": "call_1", "name": "add", "input": {"a": 2, "b": 3}}, "caller"),
+    ],
+)
+@pytest.mark.parametrize("explicit_null", [False, True])
+def test_native_history_preserves_explicit_block_nulls_without_adding_defaults(
+    block, field, explicit_null
+):
+    """Ensures explicitly submitted null citations/callers survive repeated native serialization."""
+    block = {**block, **({field: None} if explicit_null else {})}
+    body = {
+        "max_tokens": 32,
+        "model": "model",
+        "messages": [{"role": "assistant", "content": [block]}],
+    }
+    request = AnthropicMessagesCreateRequest.model_validate(body)
+    assert request.model_dump() == body
+    assert request.model_dump() == body
+    assert request.model_dump_populated() == body
+    assert "temperature" not in request.model_dump()
+
+
+def test_native_history_null_serializer_respects_nested_exclusion():
+    """Ensures preserving explicit history nulls does not bypass requested field exclusions."""
+    request = AnthropicMessagesCreateRequest(
+        model="model",
+        max_tokens=32,
+        messages=[
+            {
+                "role": "assistant",
+                "content": [{"type": "text", "text": "Answer", "citations": None}],
+            }
+        ],
+    )
+    assert request.model_dump(exclude={"messages": {0: {"content": {0: {"citations"}}}}}) == {
+        "model": "model",
+        "max_tokens": 32,
+        "messages": [{"role": "assistant", "content": [{"type": "text", "text": "Answer"}]}],
+    }
diff --git a/tests/types/test_openai_responses.py b/tests/types/test_openai_responses.py
index 97c848c..859ac68 100644
--- a/tests/types/test_openai_responses.py
+++ b/tests/types/test_openai_responses.py
@@ -25,6 +25,25 @@
 )
 
 
+@pytest.mark.parametrize("strictness", [{}, {"strict": False}, {"strict": True}, {"strict": None}])
+def test_function_tool_preserves_optional_strictness(strictness):
+    """Ensures omitted strictness stays omitted and explicit values retain existing serialization."""
+    tool = {"type": "function", "name": "add", "parameters": {}, **strictness}
+    request = OpenAIResponsesCreateRequest(model="m", tools=[tool])
+    expected = {key: value for key, value in tool.items() if value is not None}
+    assert request.model_dump()["tools"] == [expected]
+    assert request.model_dump()["tools"] == [expected]
+
+
+@pytest.mark.parametrize("field", ["type", "name", "parameters"])
+def test_function_tool_still_requires_sdk_identity_and_schema(field):
+    """Ensures optional strictness does not loosen other required function definition fields."""
+    tool = {"type": "function", "name": "add", "parameters": {}}
+    del tool[field]
+    with pytest.raises(ValidationError):
+        OpenAIResponsesCreateRequest(model="m", tools=[tool])
+
+
 def test_request_fields_match_responses_create_body_parameters():
     signature = inspect.signature(AsyncResponses.create)
     transport_parameters = {"self", "extra_headers", "extra_query", "extra_body", "timeout"}
diff --git a/tests/types/test_provider_history.py b/tests/types/test_provider_history.py
index fb4257a..f071328 100644
--- a/tests/types/test_provider_history.py
+++ b/tests/types/test_provider_history.py
@@ -167,3 +167,87 @@ def test_openrouter_reasoning_format_round_trips_sdk_history():
     request = OpenAIResponsesCreateRequest(model="model", input=[item])
     assert request.model_dump()["input"] == [item]
     assert request.model_dump()["input"] == [item]
+
+
+def test_assistant_null_tools_placeholder_preserves_native_history():
+    """Ensures Fireworks' observed null tools placeholder survives repeated native serialization."""
+    message = {"role": "assistant", "content": "Answer", "tools": None}
+    parsed = ChatCompletionMessage.model_validate(message).model_dump(exclude_unset=True)
+    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[parsed])
+    assert request.model_dump()["messages"] == [message]
+    assert request.model_dump()["messages"] == [message]
+
+
+@pytest.mark.parametrize("tools", [[], {}, [{"type": "function"}], "", False, 1])
+def test_assistant_tools_placeholder_rejects_populated_values(tools):
+    """Ensures the observed null placeholder cannot accept tool definitions or unrelated values."""
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(
+            model="model", messages=[{"role": "assistant", "content": "Answer", "tools": tools}]
+        )
+
+
+@pytest.mark.parametrize("role", ["user", "system", "developer", "tool"])
+def test_tools_placeholder_remains_assistant_only(role):
+    """Ensures the Fireworks placeholder does not weaken unrelated message schemas."""
+    message = {"role": role, "content": "Text", "tools": None}
+    if role == "tool":
+        message["tool_call_id"] = "call_1"
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+
+
+@pytest.mark.parametrize("field", ["tools", "tool_calls"])
+def test_null_tools_placeholder_has_no_translated_tool_semantics(field):
+    """Ensures empty assistant metadata cannot introduce normalized tool definitions."""
+    from molto.adapters.openai import OpenAIChatCompletionsAdapter
+    from molto.providers import PROVIDER_CAPABILITIES
+    from molto.types.normalized import AssistantInput, TextOutput
+
+    request = OpenAIChatCompletionsCreateRequest(
+        model="model", messages=[{"role": "assistant", "content": "Answer", field: None}]
+    )
+    normalized = OpenAIChatCompletionsAdapter(
+        PROVIDER_CAPABILITIES["fireworks"]
+    ).normalize_request(request)
+    assert normalized.tools is None
+    assert normalized.input == [AssistantInput(content=[TextOutput(content="Answer")])]
+
+
+def test_function_call_null_outer_name_preserves_native_history():
+    """Ensures Fireworks' outer null name never replaces the function's actual tool name."""
+    call = {
+        "id": "call_1",
+        "type": "function",
+        "name": None,
+        "function": {"name": "add", "arguments": '{"a":2,"b":3}'},
+    }
+    message = {"role": "assistant", "tool_calls": [call]}
+    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
+    assert request.model_dump()["messages"] == [message]
+    assert request.model_dump()["messages"] == [message]
+
+
+@pytest.mark.parametrize("name", ["add", "", [], {}, False, 1])
+def test_function_call_outer_name_rejects_populated_values(name):
+    """Ensures the known null placeholder cannot introduce competing function identities."""
+    call = {
+        "id": "call_1",
+        "type": "function",
+        "name": name,
+        "function": {"name": "add", "arguments": "{}"},
+    }
+    with pytest.raises(ValidationError):
+        OpenAIChatCompletionsCreateRequest(
+            model="model", messages=[{"role": "assistant", "tool_calls": [call]}]
+        )
+
+
+def test_null_tool_calls_preserves_native_history():
+    """Ensures Fireworks' emitted empty call placeholder survives exact native continuation."""
+    body = {
+        "model": "test",
+        "messages": [{"role": "assistant", "content": "done", "tool_calls": None}],
+    }
+    request = OpenAIChatCompletionsCreateRequest.model_validate(body)
+    assert request.model_dump(exclude_none=True)["messages"] == body["messages"]

From 99375e622c14f7ada37273eb0c79395baa82e6d9 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Wed, 4 Nov 2026 03:10:52 +0000
Subject: [PATCH 06/15] test: Preserve initial OpenRouter free-model recordings

---
 ...-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml |  92 +++++
 ...-01a1a487-e8d9-7ab3-b041-983e9ef84cd7.yaml | 102 +++++
 .../manifest.json                             |  62 +++
 ...-01a1a489-02d5-79e1-b055-758125ed8b19.yaml |  84 ++++
 ...-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml |  94 +++++
 .../manifest.json                             |  62 +++
 ...-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml | 119 ++++++
 ...-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml | 132 +++++++
 ...-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml | 132 +++++++
 .../manifest.json                             |  71 ++++
 ...-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml |  88 +++++
 ...-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml |  99 +++++
 .../manifest.json                             |  60 +++
 ...-01a1a488-970a-7372-9853-00b5185d8f8e.yaml | 122 ++++++
 ...-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml | 137 +++++++
 .../manifest.json                             |  60 +++
 .../2026-11-04/openrouter-selection.json      |  77 ++++
 ...638ef46344b3b77adf31357cdefc2104894b62.txt | 358 ++++++++++++++++++
 18 files changed, 1951 insertions(+)
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e8d9-7ab3-b041-983e9ef84cd7.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt

diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml
new file mode 100644
index 0000000..e997210
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json
new file mode 100644
index 0000000..722f07e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json
@@ -0,0 +1,62 @@
+{
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+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
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+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
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+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml
new file mode 100644
index 0000000..8768046
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml
@@ -0,0 +1,84 @@
+filename: 2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19
+request:
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+        type: text
+      - text: Reply briefly.
+        type: text
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+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
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+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a489-02d5-79e1-b055-758125ed8b19
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+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"id":"gen-1793761805-QeRKpfrMOlXy5oHlZyyi","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"Blue","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
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+    '
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+
+    '
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+
+    '
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+    '
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+
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
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+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:10:05.013228+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml
new file mode 100644
index 0000000..6bda1df
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml
@@ -0,0 +1,94 @@
+filename: 2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083
+request:
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+    messages:
+    - content:
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+        type: text
+      - text: Reply briefly.
+        type: text
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+    - content: Blue lantern.
+      refusal: null
+      role: assistant
+      tool_calls: null
+    - content:
+      - text: Repeat the phrase
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+      - text: ' exactly, preserving its spaces.'
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+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
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+    stream: true
+    stream_options:
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+    accept-encoding: gzip, deflate, br
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+    connection: keep-alive
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+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a489-0503-7d11-9be1-b6256a2a5083
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761805-1Wiq4tPkBT7VVzX22SCr","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761805-1Wiq4tPkBT7VVzX22SCr","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":".","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
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+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:10:05.571743+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json
new file mode 100644
index 0000000..b75ab57
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json
@@ -0,0 +1,62 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:10:04.618409+00:00",
+  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
+  "working_tree_dirty": true,
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+  },
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+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": true,
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    },
+    "reasoning": {
+      "effort": "none"
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml
new file mode 100644
index 0000000..fddff81
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml
@@ -0,0 +1,119 @@
+filename: 2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952
+request:
+  body:
+    max_tokens: 1024
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+    - content: Use add to add 2 and 3. After the result, use add to add that result
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+    model: nvidia/nemotron-3.5-lightning:free
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+    tool_choice:
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+        name: add
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+          required:
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+request_id: 01a1a489-31c8-7e91-8bbb-306e7538d952
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml
new file mode 100644
index 0000000..33993ae
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml
@@ -0,0 +1,132 @@
+filename: 2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615
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+        type: function
+    - content: '5'
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+      tool_call_id: call-a09dca38-a409-4a8f-b179-279e754dbfc9
+    model: nvidia/nemotron-3.5-lightning:free
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+    tool_choice:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml
new file mode 100644
index 0000000..2d9b1ce
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+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml
@@ -0,0 +1,132 @@
+filename: 2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8
+request:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json
new file mode 100644
index 0000000..31ce7aa
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json
@@ -0,0 +1,71 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:10:16.646087+00:00",
+  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
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+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": false,
+  "max_tokens": 1024,
+  "extra_body": {
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+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
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+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml"
+      ]
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+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml"
+      ]
+    },
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+      "turn": 2,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml
new file mode 100644
index 0000000..20b252e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml
@@ -0,0 +1,88 @@
+filename: 2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25
+request:
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+    max_tokens: 1024
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+      - text: Reply briefly.
+        type: text
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+    model: nvidia/nemotron-3.5-lightning:free
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+    thinking:
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+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
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+request_id: 01a1a488-3353-7bc3-92cf-b9416d72ae25
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+timestamp: '2026-11-04T03:09:11.891188+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml
new file mode 100644
index 0000000..aabf285
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml
@@ -0,0 +1,99 @@
+filename: 2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
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+        text: blue lantern
+        type: text
+      role: assistant
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
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+        prompt: 0
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+    stream: false
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+    authorization: Bearer ***
+    connection: keep-alive
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+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
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+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a488-3578-7b82-b6f4-8aa6d2596fcb
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+      text: blue lantern
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+    provider: Nvidia
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+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json
new file mode 100644
index 0000000..1f341f8
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:09:11.867131+00:00",
+  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
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+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
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+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://openrouter.ai/api/v1/messages",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "text",
+  "stream": false,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml
new file mode 100644
index 0000000..e0a2f0e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml
@@ -0,0 +1,122 @@
+filename: 2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e
+request:
+  body:
+    input:
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+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
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+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '376'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a488-970a-7372-9853-00b5185d8f8e
+response:
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+    instructions: null
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+    max_tool_calls: null
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+    model: nvidia/nemotron-3.5-lightning:free
+    object: response
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+        text: Blue lantern.
+        type: output_text
+      id: msg_tmp_hgffyg7nbyn
+      role: assistant
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+    tools: []
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+    bmNlX2lucHV0X2Nvc3QiOjAsInVwc3RyZWFtX2luZmVyZW5jZV9vdXRwdXRfY29zdCI6MH19fQ==
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-04T03:09:37.418820+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml
new file mode 100644
index 0000000..c9f340f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml
@@ -0,0 +1,137 @@
+filename: 2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42
+request:
+  body:
+    input:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: Blue lantern.
+        type: output_text
+      id: msg_tmp_hgffyg7nbyn
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Repeat the phrase
+        type: input_text
+      - text: ' exactly, preserving its spaces.'
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '692'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a488-998f-78c3-b53d-ce3a18152d42
+response:
+  body:
+    access_programs: null
+    background: false
+    completed_at: 1793761778
+    created_at: 1793761778
+    error: null
+    frequency_penalty: 0
+    id: gen-1793761778-uyHAwoDvSLdfs2Ymk5pj
+    incomplete_details: null
+    instructions: null
+    max_output_tokens: 1024
+    max_tool_calls: null
+    metadata: {}
+    model: nvidia/nemotron-3.5-lightning:free
+    object: response
+    output:
+    - content:
+      - annotations: []
+        logprobs: []
+        text: blue  lantern
+        type: output_text
+      id: msg_tmp_rb0pum20tf
+      role: assistant
+      status: completed
+      type: message
+    parallel_tool_calls: true
+    presence_penalty: 0
+    previous_response_id: null
+    prompt_cache_key: null
+    prompt_cache_options: null
+    reasoning:
+      effort: none
+    safety_identifier: null
+    service_tier: auto
+    status: completed
+    store: false
+    temperature: 1
+    text:
+      format:
+        type: text
+    tool_choice: auto
+    tools: []
+    top_logprobs: 0
+    top_p: 1
+    truncation: disabled
+    usage:
+      cost: 0
+      cost_details:
+        upstream_inference_cost: 0
+        upstream_inference_input_cost: 0
+        upstream_inference_output_cost: 0
+      input_tokens: 54
+      input_tokens_details:
+        cached_tokens: 0
+      is_byok: false
+      output_tokens: 4
+      output_tokens_details:
+        reasoning_tokens: 0
+      total_tokens: 58
+  body_bytes: !!binary |
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+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-04T03:09:38.063778+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json
new file mode 100644
index 0000000..1440426
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:09:36.884290+00:00",
+  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://openrouter.ai/api/v1/responses",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "text",
+  "stream": false,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
new file mode 100644
index 0000000..e636912
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
@@ -0,0 +1,77 @@
+{
+  "provenance": "catalog-selection",
+  "source_url": "https://openrouter.ai/api/v1/models",
+  "retrieved_at": "2026-11-04T03:07:17.084451+00:00",
+  "selection_policy": "Explicit :free IDs with zero prompt and completion prices; no paid model fallback or plugins. Captures independently establish availability.",
+  "models": [
+    {
+      "id": "liquid/lfm-2.5-2.6b:free",
+      "name": "LiquidAI: LFM2.5-2.6B (free)",
+      "pricing": {
+        "prompt": "0",
+        "completion": "0"
+      },
+      "supported_parameters": [
+        "frequency_penalty",
+        "include_reasoning",
+        "logprobs",
+        "max_completion_tokens",
+        "max_tokens",
+        "min_p",
+        "presence_penalty",
+        "reasoning",
+        "repetition_penalty",
+        "response_format",
+        "seed",
+        "stop",
+        "structured_outputs",
+        "temperature",
+        "tool_choice",
+        "tools",
+        "top_k",
+        "top_logprobs",
+        "top_p"
+      ],
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Other",
+        "instruct_type": null
+      }
+    },
+    {
+      "id": "nvidia/nemotron-3.5-lightning:free",
+      "name": "NVIDIA: Nemotron 3.5 Lightning (free)",
+      "pricing": {
+        "prompt": "0",
+        "completion": "0"
+      },
+      "supported_parameters": [
+        "include_reasoning",
+        "max_tokens",
+        "reasoning",
+        "seed",
+        "temperature",
+        "tool_choice",
+        "tools",
+        "top_p"
+      ],
+      "architecture": {
+        "modality": "text->text",
+        "input_modalities": [
+          "text"
+        ],
+        "output_modalities": [
+          "text"
+        ],
+        "tokenizer": "Other",
+        "instruct_type": null
+      }
+    }
+  ]
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt
new file mode 100644
index 0000000..e411d3c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt
@@ -0,0 +1,358 @@
+#!/usr/bin/env python3
+"""Record native Responses or Messages conversations independently of Molto.
+
+Use the Chat driver for Chat Completions. This companion retains actual Responses
+output or SDK-collected Messages blocks as history and stops on incomplete turns.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from anthropic import AsyncAnthropic, omit as anthropic_omit
+from dotenv import load_dotenv
+from openai import AsyncOpenAI, omit
+
+from scripts import record_provider_conversation, recorder_proxy
+from scripts.record_provider_conversation import validate_turn
+
+
+def initial_history(protocol: str, scenario: str) -> list[dict]:
+    if scenario == "text":
+        part_type = "input_text" if protocol == "responses" else "text"
+        return [
+            {
+                "role": "user",
+                "content": [
+                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
+                    {"type": part_type, "text": "Reply briefly."},
+                ],
+            }
+        ]
+    prompt = (
+        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
+        if scenario == "tools"
+        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+    )
+    return [{"role": "user", "content": prompt}]
+
+
+def request_body(args, history: list[dict], turn: int) -> dict:
+    body = {"model": args.model}
+    if args.extra_body is not None:
+        body["extra_body"] = args.extra_body
+    schema = {
+        "type": "object",
+        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+        "required": ["a", "b"],
+        "additionalProperties": False,
+    }
+    final = turn == (2 if args.scenario == "tools" else 1)
+    if args.protocol == "responses":
+        body.update(
+            input=history,
+            store=False,
+            max_output_tokens=args.max_tokens,
+            reasoning={"effort": args.reasoning},
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {
+                    "type": "function",
+                    "name": "add",
+                    "description": "Add two integers.",
+                    "parameters": schema,
+                }
+            ]
+            body["tool_choice"] = (
+                "none"
+                if final
+                else "required"
+                if args.scenario == "parallel"
+                else {"type": "function", "name": "add"}
+            )
+            body["parallel_tool_calls"] = args.scenario == "parallel"
+    else:
+        body.update(messages=history, max_tokens=args.max_tokens)
+        body["thinking"] = (
+            {"type": "disabled"}
+            if args.reasoning == "none"
+            else {"type": "enabled", "budget_tokens": 1024}
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {"name": "add", "description": "Add two integers.", "input_schema": schema}
+            ]
+            body["tool_choice"] = (
+                {"type": "none"}
+                if final
+                else {"type": "auto"}
+                if args.reasoning != "none"
+                else {"type": "any", "disable_parallel_tool_use": False}
+                if args.scenario == "parallel"
+                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
+            )
+    return body
+
+
+async def result_and_history(client, args, body: dict):
+    if args.protocol == "responses":
+        result = await client.responses.create(**body, stream=args.stream)
+        if args.stream:
+            terminal = None
+            async with result:
+                async for event in result:
+                    if event.type in {
+                        "response.completed",
+                        "response.incomplete",
+                        "response.failed",
+                    }:
+                        if terminal is not None:
+                            raise ValueError("Multiple Responses terminal events.")
+                        terminal = event.response
+            if terminal is None:
+                raise ValueError("Responses stream has no terminal result.")
+            result = terminal
+        if result.status != "completed":
+            raise ValueError("Responses result did not complete.")
+        content = [item.model_dump(exclude_unset=True) for item in result.output]
+        calls = [
+            {
+                "id": item["call_id"],
+                "type": "function",
+                "function": {"name": item["name"], "arguments": item["arguments"]},
+            }
+            for item in content
+            if item["type"] == "function_call"
+        ]
+        text = "".join(
+            part["text"]
+            for item in content
+            if item["type"] == "message"
+            for part in item["content"]
+            if part["type"] == "output_text"
+        )
+        reason = "tool_calls" if calls else "stop"
+        history = content
+    else:
+        if args.stream:
+            async with client.messages.stream(**body) as stream:
+                stops = 0
+                async for event in stream:
+                    if event.type == "message_stop":
+                        stops += 1
+                if stops != 1:
+                    raise ValueError("Messages stream must contain exactly one message_stop.")
+                result = await stream.get_final_message()
+        else:
+            result = await client.messages.create(**body, stream=False)
+        content = [
+            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
+            for part in result.content
+        ]
+        calls = [
+            {
+                "id": part["id"],
+                "type": "function",
+                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
+            }
+            for part in content
+            if part["type"] == "tool_use"
+        ]
+        text = "".join(part["text"] for part in content if part["type"] == "text")
+        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
+            result.stop_reason, result.stop_reason
+        )
+        history = [{"role": "assistant", "content": content}]
+    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
+
+
+async def record(args) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    if args.protocol == "messages" and any(
+        line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
+        for line in os.environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
+    ):
+        raise ValueError(
+            "Remove authentication entries from ANTHROPIC_CUSTOM_HEADERS before recording."
+        )
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "source_hashes": {
+            name: sha256(Path(path).read_bytes()).hexdigest()
+            for name, path in {
+                "driver_sha256": __file__,
+                "recorder_sha256": recorder_proxy.__file__,
+                "validation_sha256": record_provider_conversation.__file__,
+            }.items()
+        },
+        "provider": args.provider,
+        "upstream_protocol": args.protocol,
+        "upstream_url": args.base_url.rstrip("/")
+        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
+        "requested_model": args.model,
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "reasoning_setting": args.reasoning,
+        "max_tokens": args.max_tokens,
+        "extra_body": args.extra_body,
+        "authentication": f"{'Bearer' if args.protocol == 'responses' or args.auth == 'bearer' else 'x-api-key'} credential from {args.key_env}; value excluded",
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+        "turns": [],
+        "status": "incomplete",
+    }
+    history = initial_history(args.protocol, args.scenario)
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
+            auth = {"api_key": key}
+            if args.protocol == "messages":
+                auth = {
+                    "api_key": None if args.auth == "bearer" else key,
+                    "auth_token": key if args.auth == "bearer" else None,
+                }
+            async with client_type(
+                **auth,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                default_headers=(
+                    {
+                        "Authorization": f"Bearer {key}",
+                        "OpenAI-Organization": omit,
+                        "OpenAI-Project": omit,
+                    }
+                    if args.protocol == "responses"
+                    else {
+                        "Authorization": f"Bearer {key}"
+                        if args.auth == "bearer"
+                        else anthropic_omit,
+                        "X-Api-Key": anthropic_omit if args.auth == "bearer" else key,
+                    }
+                ),
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(info)
+                    try:
+                        result, output, validation, reason = await result_and_history(
+                            client, args, request_body(args, history, turn)
+                        )
+                        info["returned_model"] = result.model
+                        info["finish_reason"] = reason
+                        validate_turn(validation, reason, args.scenario, turn)
+                        history.extend(output)
+                        tool_results = []
+                        for call in validation["tool_calls"]:
+                            values = json.loads(call["function"]["arguments"])
+                            answer = str(values["a"] + values["b"])
+                            if args.protocol == "responses":
+                                history.append(
+                                    {
+                                        "type": "function_call_output",
+                                        "call_id": call["id"],
+                                        "output": answer,
+                                    }
+                                )
+                            else:
+                                tool_results.append(
+                                    {
+                                        "type": "tool_result",
+                                        "tool_use_id": call["id"],
+                                        "content": answer,
+                                    }
+                                )
+                        if tool_results:
+                            history.append({"role": "user", "content": tool_results})
+                        if args.scenario == "text" and turn == 0:
+                            part_type = "input_text" if args.protocol == "responses" else "text"
+                            history.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": part_type, "text": "Repeat the phrase"},
+                                        {
+                                            "type": part_type,
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        info["status"] = "complete"
+                    finally:
+                        info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(
+        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
+    )
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--auth", choices=("api-key", "bearer"), default="api-key")
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

From 30f8b6d4c409df8b2a054bea5e82650aa964e282 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Wed, 4 Nov 2026 03:17:16 +0000
Subject: [PATCH 07/15] test: Preserve OpenRouter free-model conversation
 evidence

---
 ...-01a1a48d-66c3-7c23-acf5-ea393325af3e.yaml | 126 +++
 ...-01a1a48d-6a5f-7363-841a-86fddb962314.yaml | 135 +++
 .../manifest.json                             |  62 ++
 ...-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml | 106 +++
 ...-01a1a48d-9991-7300-8d91-e23651892518.yaml | 302 +++++++
 .../manifest.json                             |  62 ++
 ...-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml |  50 ++
 .../manifest.json                             |  60 ++
 ...-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml |  52 ++
 .../manifest.json                             |  60 ++
 ...-01a1a48c-c399-7583-9949-f3125da180a2.yaml | 305 +++++++
 .../manifest.json                             |  60 ++
 ...-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml |  95 ++
 ...-01a1a489-63e7-7141-8cdc-115597eadc09.yaml | 143 +++
 .../manifest.json                             |  69 ++
 ...-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml | 119 +++
 ...-01a1a48a-1ecb-7843-839e-3e758020348c.yaml | 121 +++
 .../manifest.json                             |  60 ++
 ...-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml | 115 +++
 ...-01a1a48b-c261-7951-b564-48ea8c652c65.yaml | 132 +++
 ...-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml | 144 +++
 .../manifest.json                             |  69 ++
 ...-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml | 109 +++
 ...-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml | 124 +++
 .../manifest.json                             |  67 ++
 ...-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml | 116 +++
 ...-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml | 131 +++
 ...-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml | 201 +++++
 .../manifest.json                             |  69 ++
 ...-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml | 117 +++
 ...-01a1a489-985f-7d50-953f-708adb71b035.yaml | 132 +++
 .../manifest.json                             |  60 ++
 ...-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml | 157 ++++
 ...-01a1a489-c48d-7883-9d54-8123763449aa.yaml | 166 ++++
 ...-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml | 174 ++++
 .../manifest.json                             |  69 ++
 ...-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml | 821 ++++++++++++++++++
 ...-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml | 245 ++++++
 ...-01a1a48b-a0be-7993-81b5-557817530d8b.yaml | 426 +++++++++
 .../manifest.json                             |  69 ++
 ...-01a1a489-eff2-7863-bc10-27597e3466bd.yaml | 117 +++
 ...-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml | 126 +++
 .../manifest.json                             |  67 ++
 ...6290139903e4d76d9297011c6bc7a1ac4efe5d.txt | 367 ++++++++
 ...62cf73714cdea8dd9121cab8dc72e618618aa3.txt | 359 ++++++++
 45 files changed, 6736 insertions(+)
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-66c3-7c23-acf5-ea393325af3e.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-6a5f-7363-841a-86fddb962314.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt
 create mode 100644 tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt

diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-66c3-7c23-acf5-ea393325af3e.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-66c3-7c23-acf5-ea393325af3e.yaml
new file mode 100644
index 0000000..e2ee582
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-66c3-7c23-acf5-ea393325af3e.yaml
@@ -0,0 +1,126 @@
+filename: 2026-11-04-01a1a48d-66c3-7c23-acf5-ea393325af3e
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
+        both results.'
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: true
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    stream: false
+    tool_choice: required
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '604'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a48d-66c3-7c23-acf5-ea393325af3e
+response:
+  body:
+    choices:
+    - finish_reason: tool_calls
+      index: 0
+      logprobs: null
+      message:
+        content: null
+        reasoning: null
+        refusal: null
+        role: assistant
+        tool_calls:
+        - function:
+            arguments: '{"a": 2, "b": 3}'
+            name: add
+          id: call-491008b7-3a5f-4d21-bf99-c6b8302c2cbe
+          index: 0
+          type: function
+        - function:
+            arguments: '{"a": 7, "b": 4}'
+            name: add
+          id: call-bc0804e9-fe45-4bf4-a1f6-9db9529cbb6c
+          index: 1
+          type: function
+      native_finish_reason: tool_calls
+    created: 1793762092
+    id: gen-1793762092-85TakoQFHFbT78qVZsf6
+    model: nvidia/nemotron-3.5-lightning:free
+    object: chat.completion
+    provider: Nvidia
+    service_tier: null
+    system_fingerprint: null
+    usage:
+      completion_tokens: 45
+      completion_tokens_details:
+        audio_tokens: 0
+        image_tokens: 0
+        reasoning_tokens: 0
+      cost: 0
+      cost_details:
+        upstream_inference_completions_cost: 0
+        upstream_inference_cost: 0
+        upstream_inference_prompt_cost: 0
+      is_byok: false
+      prompt_tokens: 319
+      prompt_tokens_details:
+        audio_tokens: 0
+        cache_write_tokens: 0
+        cached_tokens: 0
+        video_tokens: 0
+      total_tokens: 364
+  body_bytes: !!binary |
+    CiAgICAgICAgIAp7ImlkIjoiZ2VuLTE3OTM3NjIwOTItODVUYWtvUUZIRmJUNzhxVlpzZjYiLCJv
+    YmplY3QiOiJjaGF0LmNvbXBsZXRpb24iLCJjcmVhdGVkIjoxNzkzNzYyMDkyLCJtb2RlbCI6Im52
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json
new file mode 100644
index 0000000..23cbdb8
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json
@@ -0,0 +1,62 @@
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml
new file mode 100644
index 0000000..15758eb
--- /dev/null
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml
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+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
+    of","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
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+
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+    '
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+
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+  - '
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+    '
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+
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+
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+
+    '
+  - '
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+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"5","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
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+    '
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+
+    '
+  - '
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+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"7","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
+    +","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
+    ","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"4","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
+    =","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
+    **","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"1","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"1","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"**","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"stop","native_finish_reason":"stop"}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762105-7B63N8OOPsvJtvXHSUmy","object":"chat.completion.chunk","created":1793762105,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"stop","native_finish_reason":"stop"}],"usage":{"prompt_tokens":128,"completion_tokens":32,"total_tokens":160,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:15:05.745165+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json
new file mode 100644
index 0000000..bbb15fd
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json
@@ -0,0 +1,62 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:15:04.464445+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "parallel",
+  "stream": true,
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    },
+    "reasoning": {
+      "effort": "none"
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently; reasoning_details text/summary fragments and stable metadata independently checked; unverifiable detail shapes rejected without repairing SDK history",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml
new file mode 100644
index 0000000..8de2655
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml
@@ -0,0 +1,50 @@
+filename: 2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: liquid/lfm-2.5-2.6b:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '336'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a48b-ec31-71e0-a75f-f43f90ba3a71
+response:
+  body:
+    error:
+      code: 400
+      message: Reasoning is mandatory for this endpoint and cannot be disabled.
+      metadata:
+        provider_name: null
+  body_bytes: !!binary |
+    eyJlcnJvciI6eyJtZXNzYWdlIjoiUmVhc29uaW5nIGlzIG1hbmRhdG9yeSBmb3IgdGhpcyBlbmRw
+    b2ludCBhbmQgY2Fubm90IGJlIGRpc2FibGVkLiIsImNvZGUiOjQwMCwibWV0YWRhdGEiOnsicHJv
+    dmlkZXJfbmFtZSI6bnVsbH19fQ==
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 400
+timestamp: '2026-11-04T03:13:15.825583+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json
new file mode 100644
index 0000000..6d967e6
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:13:15.460238+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "liquid/lfm-2.5-2.6b:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": false,
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    },
+    "reasoning": {
+      "effort": "none"
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "native-exclude-unset",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "files": [
+        "2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "BadRequestError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 256, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml
new file mode 100644
index 0000000..1e9a35d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml
@@ -0,0 +1,52 @@
+filename: 2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: liquid/lfm-2.5-2.6b:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '375'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0
+response:
+  body:
+    error:
+      code: 400
+      message: Reasoning is mandatory for this endpoint and cannot be disabled.
+      metadata:
+        provider_name: null
+  body_bytes: !!binary |
+    eyJlcnJvciI6eyJtZXNzYWdlIjoiUmVhc29uaW5nIGlzIG1hbmRhdG9yeSBmb3IgdGhpcyBlbmRw
+    b2ludCBhbmQgY2Fubm90IGJlIGRpc2FibGVkLiIsImNvZGUiOjQwMCwibWV0YWRhdGEiOnsicHJv
+    dmlkZXJfbmFtZSI6bnVsbH19fQ==
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 400
+timestamp: '2026-11-04T03:13:27.712062+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json
new file mode 100644
index 0000000..e0d22fc
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:13:27.298148+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "liquid/lfm-2.5-2.6b:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "text",
+  "stream": true,
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    },
+    "reasoning": {
+      "effort": "none"
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "files": [
+        "2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "BadRequestError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 256, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml
new file mode 100644
index 0000000..775485a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml
@@ -0,0 +1,305 @@
+filename: 2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: low
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '673'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a48c-c399-7583-9949-f3125da180a2
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"We","reasoning_details":[{"type":"reasoning.text","text":"We","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    need","reasoning_details":[{"type":"reasoning.text","text":" need","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    to","reasoning_details":[{"type":"reasoning.text","text":" to","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    use","reasoning_details":[{"type":"reasoning.text","text":" use","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    add","reasoning_details":[{"type":"reasoning.text","text":" add","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    tool","reasoning_details":[{"type":"reasoning.text","text":" tool","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    twice","reasoning_details":[{"type":"reasoning.text","text":" twice","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":":","reasoning_details":[{"type":"reasoning.text","text":":","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    first","reasoning_details":[{"type":"reasoning.text","text":" first","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    add","reasoning_details":[{"type":"reasoning.text","text":" add","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    2","reasoning_details":[{"type":"reasoning.text","text":" 2","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"+","reasoning_details":[{"type":"reasoning.text","text":"+","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"3","reasoning_details":[{"type":"reasoning.text","text":"3","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    =","reasoning_details":[{"type":"reasoning.text","text":" =","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    5","reasoning_details":[{"type":"reasoning.text","text":" 5","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":".","reasoning_details":[{"type":"reasoning.text","text":".","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    Then","reasoning_details":[{"type":"reasoning.text","text":" Then","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    add","reasoning_details":[{"type":"reasoning.text","text":" add","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    result","reasoning_details":[{"type":"reasoning.text","text":" result","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    (","reasoning_details":[{"type":"reasoning.text","text":" (","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"5","reasoning_details":[{"type":"reasoning.text","text":"5","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":")","reasoning_details":[{"type":"reasoning.text","text":")","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    +","reasoning_details":[{"type":"reasoning.text","text":" +","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    4","reasoning_details":[{"type":"reasoning.text","text":" 4","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    =","reasoning_details":[{"type":"reasoning.text","text":" =","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    9","reasoning_details":[{"type":"reasoning.text","text":" 9","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":".
+    Provide final answer.","reasoning_details":[{"type":"reasoning.text","text":".
+    Provide final answer.","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    Use","reasoning_details":[{"type":"reasoning.text","text":" Use","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    tool","reasoning_details":[{"type":"reasoning.text","text":" tool","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
+    calls","reasoning_details":[{"type":"reasoning.text","text":" calls","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":".","reasoning_details":[{"type":"reasoning.text","text":".","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"id":"call-729d2f7a-de56-49fc-a709-a123bb3945eb","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"}}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":null},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}],"usage":{"prompt_tokens":324,"completion_tokens":57,"total_tokens":381,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":39,"image_tokens":0,"audio_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:14:10.969161+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json
new file mode 100644
index 0000000..7d5f1a2
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:14:10.597766+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": true,
+  "max_tokens": 2048,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    },
+    "reasoning": {
+      "effort": "low"
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently; reasoning_details text/summary fragments and stable metadata independently checked; unverifiable detail shapes rejected without repairing SDK history",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "incomplete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 297, in record\n    verify_accumulation(events, history)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 117, in verify_accumulation\n    raise ValueError(\"SDK accumulation changed reasoning_details history.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml
new file mode 100644
index 0000000..87eeb16
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml
@@ -0,0 +1,95 @@
+filename: 2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '674'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a489-606f-7512-aacc-1cb8486a9d6c
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"id":"call-b1dab1e4-4159-4314-b273-0f23ea63b84f","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"}}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}],"usage":{"prompt_tokens":324,"completion_tokens":17,"total_tokens":341,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:10:28.975479+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml
new file mode 100644
index 0000000..5741bcd
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml
@@ -0,0 +1,143 @@
+filename: 2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content: ''
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+          name: add
+        id: call-b1dab1e4-4159-4314-b273-0f23ea63b84f
+        type: function
+    - content: '5'
+      role: tool
+      tool_call_id: call-b1dab1e4-4159-4314-b273-0f23ea63b84f
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice:
+      function:
+        name: add
+      type: function
+    tools:
+    - function:
+        description: Add two integers.
+        name: add
+        parameters:
+          additionalProperties: false
+          properties:
+            a:
+              type: integer
+            b:
+              type: integer
+          required:
+          - a
+          - b
+          type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '966'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/chat/completions
+  query_params: {}
+request_id: 01a1a489-63e7-7141-8cdc-115597eadc09
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - ': OPENROUTER PROCESSING
+
+    '
+  - '
+
+    '
+  - ': OPENROUTER PROCESSING
+
+    '
+  - '
+
+    '
+  - ': OPENROUTER PROCESSING
+
+    '
+  - '
+
+    '
+  - ': OPENROUTER PROCESSING
+
+    '
+  - '
+
+    '
+  - ': OPENROUTER PROCESSING
+
+    '
+  - '
+
+    '
+  - ': OPENROUTER PROCESSING
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"id":"call-33474617-63b1-451e-b728-ce7a25194081","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"{
+    \"a\": 2, \"b\": 3 }"}}]},"finish_reason":null,"native_finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}],"usage":{"prompt_tokens":374,"completion_tokens":14,"total_tokens":388,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:10:29.863470+00:00'
+upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json
new file mode 100644
index 0000000..4dd2d8f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json
@@ -0,0 +1,69 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:10:28.612053+00:00",
+  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "source_hashes": {
+    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
+  },
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "chat/completions",
+  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "scenario": "tools",
+  "stream": true,
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    },
+    "reasoning": {
+      "effort": "none"
+    }
+  },
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
+  "history_policy": "omit-absent-sdk-null-bookkeeping",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "incomplete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 278, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 135, in validate_turn\n    raise ValueError(\"Provider did not execute the requested tool scenario.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml
new file mode 100644
index 0000000..4a6d61f
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml
@@ -0,0 +1,119 @@
+filename: 2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '346'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-1cbc-7443-a0fd-b4afe01eaf61
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    request-id: gen-1793761877-OfRtP1K1XBx8i7rkkwCU
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"id":"msg_OfRtP1K1XBx8i7rkkwCU","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":"","citations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Blue"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    lantern"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":28,"output_tokens":4,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T03:11:17.180541+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml
new file mode 100644
index 0000000..5d9fe0c
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml
@@ -0,0 +1,121 @@
+filename: 2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: text
+      - text: Reply briefly.
+        type: text
+      role: user
+    - content:
+      - citations: []
+        text: Blue lantern.
+        type: text
+      role: assistant
+    - content:
+      - text: Repeat the phrase
+        type: text
+      - text: ' exactly, preserving its spaces.'
+        type: text
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: true
+    thinking:
+      type: disabled
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '562'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-1ecb-7843-839e-3e758020348c
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    request-id: gen-1793761877-z81VsVX8Pb6Y56sxg9Xq
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"id":"msg_z81VsVX8Pb6Y56sxg9Xq","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":"","citations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Blue"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    lantern"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":54,"output_tokens":3,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T03:11:17.707820+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json
new file mode 100644
index 0000000..e699e37
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:11:17.156251+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://openrouter.ai/api/v1/messages",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "text",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml
new file mode 100644
index 0000000..64bd700
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml
@@ -0,0 +1,115 @@
+filename: 2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: auto
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '597'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5
+response:
+  body:
+    container: null
+    content:
+    - signature: ''
+      thinking: We need to call add with 2 and 3. Then call add again with result
+        (5) and 4. Then give final answer. Use tool calls.
+      type: thinking
+    - caller:
+        type: direct
+      id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
+      input:
+        a: 2
+        b: 3
+      name: add
+      type: tool_use
+    context_management: null
+    id: msg_TWY0zQO11zD4JiwbFyGs
+    model: nvidia/nemotron-3.5-lightning:free
+    provider: Nvidia
+    role: assistant
+    stop_details: null
+    stop_reason: tool_use
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: null
+      cache_read_input_tokens: 0
+      cost: 0
+      cost_details:
+        upstream_inference_completions_cost: 0
+        upstream_inference_cost: 0
+        upstream_inference_prompt_cost: 0
+      inference_geo: null
+      input_tokens: 324
+      is_byok: false
+      output_tokens: 67
+      output_tokens_details:
+        thinking_tokens: 34
+      server_tool_use: null
+      service_tier: null
+      speed: standard
+  body_bytes: !!binary |
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+  headers:
+    connection: keep-alive
+    content-type: application/json
+    request-id: gen-1793761983-TWY0zQO11zD4JiwbFyGs
+  status_code: 200
+timestamp: '2026-11-04T03:13:03.871791+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml
new file mode 100644
index 0000000..9618f1a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml
@@ -0,0 +1,132 @@
+filename: 2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - signature: ''
+        thinking: We need to call add with 2 and 3. Then call add again with result
+          (5) and 4. Then give final answer. Use tool calls.
+        type: thinking
+      - caller:
+          type: direct
+        id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
+        type: tool_result
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: auto
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1049'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48b-c261-7951-b564-48ea8c652c65
+response:
+  body:
+    container: null
+    content:
+    - signature: ''
+      thinking: Now we have result 5. Need to add 5 and 4.
+      type: thinking
+    - caller:
+        type: direct
+      id: call-ed77770e-a9ce-4127-86fd-0b0cee72f4e7
+      input:
+        a: 5
+        b: 4
+      name: add
+      type: tool_use
+    context_management: null
+    id: msg_xu3VmPQVpNghyN67fhC6
+    model: nvidia/nemotron-3.5-lightning:free
+    provider: Nvidia
+    role: assistant
+    stop_details: null
+    stop_reason: tool_use
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: null
+      cache_read_input_tokens: 0
+      cost: 0
+      cost_details:
+        upstream_inference_completions_cost: 0
+        upstream_inference_cost: 0
+        upstream_inference_prompt_cost: 0
+      inference_geo: null
+      input_tokens: 409
+      is_byok: false
+      output_tokens: 49
+      output_tokens_details:
+        thinking_tokens: 16
+      server_tool_use: null
+      service_tier: null
+      speed: standard
+  body_bytes: !!binary |
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+  headers:
+    connection: keep-alive
+    content-type: application/json
+    request-id: gen-1793761985-xu3VmPQVpNghyN67fhC6
+  status_code: 200
+timestamp: '2026-11-04T03:13:05.121396+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml
new file mode 100644
index 0000000..d52918d
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml
@@ -0,0 +1,144 @@
+filename: 2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57
+request:
+  body:
+    max_tokens: 2048
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - signature: ''
+        thinking: We need to call add with 2 and 3. Then call add again with result
+          (5) and 4. Then give final answer. Use tool calls.
+        type: thinking
+      - caller:
+          type: direct
+        id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
+        type: tool_result
+      role: user
+    - content:
+      - signature: ''
+        thinking: Now we have result 5. Need to add 5 and 4.
+        type: thinking
+      - caller:
+          type: direct
+        id: call-ed77770e-a9ce-4127-86fd-0b0cee72f4e7
+        input:
+          a: 5
+          b: 4
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '9'
+        tool_use_id: call-ed77770e-a9ce-4127-86fd-0b0cee72f4e7
+        type: tool_result
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: false
+    thinking:
+      budget_tokens: 1024
+      type: enabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1427'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48b-c596-7860-93f4-bcd76b815c57
+response:
+  body:
+    container: null
+    content:
+    - signature: ''
+      thinking: We have final answer 9. Now output final answer.
+      type: thinking
+    - citations: []
+      text: The final answer is 9.
+      type: text
+    context_management: null
+    id: msg_KG3liUUdYMniMjggYON9
+    model: nvidia/nemotron-3.5-lightning:free
+    provider: Nvidia
+    role: assistant
+    stop_details: null
+    stop_reason: end_turn
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: null
+      cache_read_input_tokens: 0
+      cost: 0
+      cost_details:
+        upstream_inference_completions_cost: 0
+        upstream_inference_cost: 0
+        upstream_inference_prompt_cost: 0
+      inference_geo: null
+      input_tokens: 198
+      is_byok: false
+      output_tokens: 21
+      output_tokens_details:
+        thinking_tokens: 12
+      server_tool_use: null
+      service_tier: null
+      speed: standard
+  body_bytes: !!binary |
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+timestamp: '2026-11-04T03:13:05.942294+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json
new file mode 100644
index 0000000..da75e5a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json
@@ -0,0 +1,69 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:13:03.834625+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://openrouter.ai/api/v1/messages",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "tools",
+  "stream": false,
+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml
new file mode 100644
index 0000000..53aee40
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml
@@ -0,0 +1,109 @@
+filename: 2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: false
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      name: add
+      type: tool
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '623'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-4bac-74a2-a6bb-a31a961c320c
+response:
+  body:
+    container: null
+    content:
+    - caller:
+        type: direct
+      id: call-41f8064b-b71e-4a24-812f-872d636b0542
+      input:
+        a: 2
+        b: 3
+      name: add
+      type: tool_use
+    context_management: null
+    id: msg_nOfUcBXrwAL6F2TW55BD
+    model: nvidia/nemotron-3.5-lightning:free
+    provider: Nvidia
+    role: assistant
+    stop_details: null
+    stop_reason: tool_use
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: null
+      cache_read_input_tokens: 0
+      cost: 0
+      cost_details:
+        upstream_inference_completions_cost: 0
+        upstream_inference_cost: 0
+        upstream_inference_prompt_cost: 0
+      inference_geo: null
+      input_tokens: 324
+      is_byok: false
+      output_tokens: 17
+      output_tokens_details:
+        thinking_tokens: 0
+      server_tool_use: null
+      service_tier: null
+      speed: standard
+  body_bytes: !!binary |
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+timestamp: '2026-11-04T03:11:29.196671+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml
new file mode 100644
index 0000000..595077e
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml
@@ -0,0 +1,124 @@
+filename: 2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - caller:
+          type: direct
+        id: call-41f8064b-b71e-4a24-812f-872d636b0542
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: call-41f8064b-b71e-4a24-812f-872d636b0542
+        type: tool_result
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: false
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      name: add
+      type: tool
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '910'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-4ed7-73c3-9e88-9de7106a85ec
+response:
+  body:
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+    content:
+    - caller:
+        type: direct
+      id: call-ffe942e5-9db1-42ce-b7ca-781d1559c47b
+      input:
+        a: 2
+        b: 3
+      name: add
+      type: tool_use
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+    id: msg_AMnavwobeFulrBBxUYkz
+    model: nvidia/nemotron-3.5-lightning:free
+    provider: Nvidia
+    role: assistant
+    stop_details: null
+    stop_reason: tool_use
+    stop_sequence: null
+    type: message
+    usage:
+      cache_creation: null
+      cache_creation_input_tokens: null
+      cache_read_input_tokens: 0
+      cost: 0
+      cost_details:
+        upstream_inference_completions_cost: 0
+        upstream_inference_cost: 0
+        upstream_inference_prompt_cost: 0
+      inference_geo: null
+      input_tokens: 374
+      is_byok: false
+      output_tokens: 17
+      output_tokens_details:
+        thinking_tokens: 0
+      server_tool_use: null
+      service_tier: null
+      speed: standard
+  body_bytes: !!binary |
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+  headers:
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+    request-id: gen-1793761890-AMnavwobeFulrBBxUYkz
+  status_code: 200
+timestamp: '2026-11-04T03:11:30.007301+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json
new file mode 100644
index 0000000..a65574a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json
@@ -0,0 +1,67 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:11:29.174697+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://openrouter.ai/api/v1/messages",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "tools",
+  "stream": false,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "incomplete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 275, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 135, in validate_turn\n    raise ValueError(\"Provider did not execute the requested tool scenario.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml
new file mode 100644
index 0000000..76bd4eb
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml
@@ -0,0 +1,116 @@
+filename: 2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      name: add
+      type: tool
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '622'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    request-id: gen-1793761901-u4d4peVajkrcJvekElNz
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"id":"msg_u4d4peVajkrcJvekElNz","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"call-dcfabfa1-3729-4630-8b4f-e8b01334ec74","caller":{"type":"direct"},"name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":324,"output_tokens":17,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T03:11:41.197851+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml
new file mode 100644
index 0000000..55228f1
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml
@@ -0,0 +1,131 @@
+filename: 2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - caller:
+          type: direct
+        id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
+        type: tool_result
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      disable_parallel_tool_use: true
+      name: add
+      type: tool
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '909'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-7e2b-7531-9ceb-4a29d5a37f49
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    request-id: gen-1793761902-geQiplFAGkUmUzMP4q6c
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"id":"msg_geQiplFAGkUmUzMP4q6c","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"call-59669dae-895a-4074-a96c-12c6aecaa452","caller":{"type":"direct"},"name":"add","input":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"{
+    \"a\": 5, \"b\": 4 }"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":374,"output_tokens":14,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T03:11:42.123668+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml
new file mode 100644
index 0000000..5cb07da
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml
@@ -0,0 +1,201 @@
+filename: 2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035
+request:
+  body:
+    max_tokens: 1024
+    messages:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - caller:
+          type: direct
+        id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
+        input:
+          a: 2
+          b: 3
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '5'
+        tool_use_id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
+        type: tool_result
+      role: user
+    - content:
+      - caller:
+          type: direct
+        id: call-59669dae-895a-4074-a96c-12c6aecaa452
+        input:
+          a: 5
+          b: 4
+        name: add
+        type: tool_use
+      role: assistant
+    - content:
+      - content: '9'
+        tool_use_id: call-59669dae-895a-4074-a96c-12c6aecaa452
+        type: tool_result
+      role: user
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    stream: true
+    thinking:
+      type: disabled
+    tool_choice:
+      type: none
+    tools:
+    - description: Add two integers.
+      input_schema:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      name: add
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1150'
+    content-type: application/json
+    user-agent: AsyncAnthropic/Python 0.121.0
+  method: POST
+  path: /api/v1/messages
+  query_params: {}
+request_id: 01a1a48a-81ac-7c93-b65f-5049852aa035
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    request-id: gen-1793761903-x90IddN6nhVGisvxrMrG
+  sse:
+  - 'event: message_start
+
+    '
+  - 'data: {"type":"message_start","message":{"id":"msg_x90IddN6nhVGisvxrMrG","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_start
+
+    '
+  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":"","citations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"The"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    final"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    answer"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    is"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
+    "}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"9"}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_delta
+
+    '
+  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
+
+    '
+  - '
+
+    '
+  - 'event: content_block_stop
+
+    '
+  - 'data: {"type":"content_block_stop","index":0}
+
+    '
+  - '
+
+    '
+  - 'event: message_delta
+
+    '
+  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":146,"output_tokens":8,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
+
+    '
+  - '
+
+    '
+  - 'event: message_stop
+
+    '
+  - 'data: {"type":"message_stop"}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: message_stop
+timestamp: '2026-11-04T03:11:43.020020+00:00'
+upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json
new file mode 100644
index 0000000..d86d012
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json
@@ -0,0 +1,69 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:11:41.165428+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "messages",
+  "upstream_url": "https://openrouter.ai/api/v1/messages",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "tools",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml"
+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml
new file mode 100644
index 0000000..a8f5d72
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml
@@ -0,0 +1,117 @@
+filename: 2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647
+request:
+  body:
+    input:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '375'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-9291-7ca3-9323-e38dd7bc0647
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"type":"response.created","response":{"id":"gen-1793761841-VpKMVsEG87mVkDeD21SR","object":"response","created_at":1793761841,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[],"tool_choice":"auto","parallel_tool_calls":true,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761841-VpKMVsEG87mVkDeD21SR","object":"response","created_at":1793761841,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[],"tool_choice":"auto","parallel_tool_calls":true,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"msg_tmp_9je8kf4lbol","type":"message","status":"in_progress","role":"assistant","content":[]},"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","output_index":0,"item_id":"msg_tmp_9je8kf4lbol","content_index":0,"part":{"type":"output_text","text":"","annotations":[],"logprobs":[]},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","output_index":0,"item_id":"msg_tmp_9je8kf4lbol","content_index":0,"delta":"blue","logprobs":[],"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","output_index":0,"item_id":"msg_tmp_9je8kf4lbol","content_index":0,"delta":"
+    lantern","logprobs":[],"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","output_index":0,"item_id":"msg_tmp_9je8kf4lbol","content_index":0,"text":"blue
+    lantern","logprobs":[],"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","output_index":0,"item_id":"msg_tmp_9je8kf4lbol","content_index":0,"part":{"type":"output_text","text":"blue
+    lantern","annotations":[],"logprobs":[]},"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"msg_tmp_9je8kf4lbol","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[],"logprobs":[]}]},"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"gen-1793761841-VpKMVsEG87mVkDeD21SR","object":"response","created_at":1793761841,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761842,"output":[{"id":"msg_tmp_9je8kf4lbol","type":"message","role":"assistant","status":"completed","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[],"logprobs":[]}]}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[],"tool_choice":"auto","parallel_tool_calls":true,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":28,"input_tokens_details":{"cached_tokens":0},"output_tokens":3,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":31,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:10:41.809748+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml
new file mode 100644
index 0000000..c6280af
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml
@@ -0,0 +1,132 @@
+filename: 2026-11-04-01a1a489-985f-7d50-953f-708adb71b035
+request:
+  body:
+    input:
+    - content:
+      - text: 'Remember the exact phrase: blue  lantern.'
+        type: input_text
+      - text: Reply briefly.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        logprobs: []
+        text: blue lantern
+        type: output_text
+      id: msg_tmp_9je8kf4lbol
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Repeat the phrase
+        type: input_text
+      - text: ' exactly, preserving its spaces.'
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '690'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-985f-7d50-953f-708adb71b035
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"type":"response.created","response":{"id":"gen-1793761843-nn9lX6sVIH8WGNHkcT6U","object":"response","created_at":1793761843,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[],"tool_choice":"auto","parallel_tool_calls":true,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761843-nn9lX6sVIH8WGNHkcT6U","object":"response","created_at":1793761843,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[],"tool_choice":"auto","parallel_tool_calls":true,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"msg_tmp_9tlzcmt0drn","type":"message","status":"in_progress","role":"assistant","content":[]},"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","output_index":0,"item_id":"msg_tmp_9tlzcmt0drn","content_index":0,"part":{"type":"output_text","text":"","annotations":[],"logprobs":[]},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","output_index":0,"item_id":"msg_tmp_9tlzcmt0drn","content_index":0,"delta":"blue","logprobs":[],"sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.delta","output_index":0,"item_id":"msg_tmp_9tlzcmt0drn","content_index":0,"delta":"
+    lantern","logprobs":[],"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_text.done","output_index":0,"item_id":"msg_tmp_9tlzcmt0drn","content_index":0,"text":"blue
+    lantern","logprobs":[],"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","output_index":0,"item_id":"msg_tmp_9tlzcmt0drn","content_index":0,"part":{"type":"output_text","text":"blue
+    lantern","annotations":[],"logprobs":[]},"sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"msg_tmp_9tlzcmt0drn","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[],"logprobs":[]}]},"sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"gen-1793761843-nn9lX6sVIH8WGNHkcT6U","object":"response","created_at":1793761843,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761843,"output":[{"id":"msg_tmp_9tlzcmt0drn","type":"message","role":"assistant","status":"completed","content":[{"type":"output_text","text":"blue
+    lantern","annotations":[],"logprobs":[]}]}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[],"tool_choice":"auto","parallel_tool_calls":true,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":53,"input_tokens_details":{"cached_tokens":0},"output_tokens":3,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":56,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:10:43.295304+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json
new file mode 100644
index 0000000..fd2c02a
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json
@@ -0,0 +1,60 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:10:41.239628+00:00",
+  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://openrouter.ai/api/v1/responses",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "text",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml
new file mode 100644
index 0000000..97ec4ae
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml
@@ -0,0 +1,157 @@
+filename: 2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
+    stream: false
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '655'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-c140-7c31-aaf2-46a14bcfd428
+response:
+  body:
+    access_programs: null
+    background: false
+    completed_at: 1793761854
+    created_at: 1793761853
+    error: null
+    frequency_penalty: 0
+    id: gen-1793761853-OkSXGYRZKQ9cjET5sYIr
+    incomplete_details: null
+    instructions: null
+    max_output_tokens: 1024
+    max_tool_calls: null
+    metadata: {}
+    model: nvidia/nemotron-3.5-lightning:free
+    object: response
+    output:
+    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+      call_id: call-8c844a23-0c02-41a4-977b-449244714607
+      id: fc_tmp_gkvflek9nk4
+      name: add
+      status: completed
+      type: function_call
+    parallel_tool_calls: false
+    presence_penalty: 0
+    previous_response_id: null
+    prompt_cache_key: null
+    prompt_cache_options: null
+    reasoning:
+      effort: none
+    safety_identifier: null
+    service_tier: auto
+    status: completed
+    store: false
+    temperature: 1
+    text:
+      format:
+        type: text
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      strict: null
+      type: function
+    top_logprobs: 0
+    top_p: 1
+    truncation: disabled
+    usage:
+      cost: 0
+      cost_details:
+        upstream_inference_cost: 0
+        upstream_inference_input_cost: 0
+        upstream_inference_output_cost: 0
+      input_tokens: 324
+      input_tokens_details:
+        cached_tokens: 0
+      is_byok: false
+      output_tokens: 17
+      output_tokens_details:
+        reasoning_tokens: 0
+      total_tokens: 341
+  body_bytes: !!binary |
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+    IjowLCJ1cHN0cmVhbV9pbmZlcmVuY2Vfb3V0cHV0X2Nvc3QiOjB9fX0=
+  headers:
+    connection: keep-alive
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-04T03:10:53.761005+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa.yaml
new file mode 100644
index 0000000..afe4ae2
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa.yaml
@@ -0,0 +1,166 @@
+filename: 2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+      call_id: call-8c844a23-0c02-41a4-977b-449244714607
+      id: fc_tmp_gkvflek9nk4
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-8c844a23-0c02-41a4-977b-449244714607
+      output: '5'
+      type: function_call_output
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
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+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '937'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-c48d-7883-9d54-8123763449aa
+response:
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+    instructions: null
+    max_output_tokens: 1024
+    max_tool_calls: null
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+    model: nvidia/nemotron-3.5-lightning:free
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml
new file mode 100644
index 0000000..625c0d1
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml
@@ -0,0 +1,174 @@
+filename: 2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+      call_id: call-8c844a23-0c02-41a4-977b-449244714607
+      id: fc_tmp_gkvflek9nk4
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-8c844a23-0c02-41a4-977b-449244714607
+      output: '5'
+      type: function_call_output
+    - arguments: '{ "a": 5, "b": 4 }'
+      call_id: call-4cf2492f-dc77-4855-a424-e9a5c45fb859
+      id: fc_tmp_wcw53tswhdb
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-4cf2492f-dc77-4855-a424-e9a5c45fb859
+      output: '9'
+      type: function_call_output
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
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+      max_price:
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+        prompt: 0
+        request: 0
+    reasoning:
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+    stream: false
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+        additionalProperties: false
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+          b:
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+        required:
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+    authorization: Bearer ***
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+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-c7b3-7de1-8fdf-32558b93a45f
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+    instructions: null
+    max_output_tokens: 1024
+    max_tool_calls: null
+    metadata: {}
+    model: nvidia/nemotron-3.5-lightning:free
+    object: response
+    output:
+    - content:
+      - annotations: []
+        logprobs: []
+        text: The final answer is 9.
+        type: output_text
+      id: msg_tmp_jpnts83gb0l
+      role: assistant
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+      type: message
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+    status: completed
+    store: false
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+    text:
+      format:
+        type: text
+    tool_choice: none
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
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+            type: integer
+          b:
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+      type: function
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+    top_p: 1
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+      cost_details:
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+        upstream_inference_input_cost: 0
+        upstream_inference_output_cost: 0
+      input_tokens: 146
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+      is_byok: false
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+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-04T03:10:55.411275+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json
new file mode 100644
index 0000000..52eda19
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json
@@ -0,0 +1,69 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:10:53.179861+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://openrouter.ai/api/v1/responses",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "tools",
+  "stream": false,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml"
+      ]
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+    {
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+      "status": "complete",
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+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml
new file mode 100644
index 0000000..7793f48
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml
@@ -0,0 +1,821 @@
+filename: 2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    max_output_tokens: 2048
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: low
+    store: false
+    stream: true
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '653'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a48b-917a-7e93-9cdf-6c74f01838ab
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
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+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"=","sequence_number":91}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"
+    result","sequence_number":92}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":",","sequence_number":93}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"
+    b","sequence_number":94}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"=","sequence_number":95}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"4","sequence_number":96}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":".","sequence_number":97}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"
+    Then","sequence_number":98}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":"
+    respond","sequence_number":99}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"delta":".","sequence_number":100}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.done","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"text":"The
+    user wants: Use add to add 2 and 3. Then use add to add that result and 4. Then
+    give final answer.\n\nWe need to call add function twice: first add 2 and 3 =>
+    result 5. Then add that result (5) and 4 => 9. Then answer final answer 9.\n\nWe
+    need to use the functions tool. So first call functions.add with a=2, b=3. Then
+    call again with a= result, b=4. Then respond.","sequence_number":101}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","output_index":0,"item_id":"rs_tmp_jz24fy2z9lc","content_index":0,"part":{"type":"reasoning_text","text":"The
+    user wants: Use add to add 2 and 3. Then use add to add that result and 4. Then
+    give final answer.\n\nWe need to call add function twice: first add 2 and 3 =>
+    result 5. Then add that result (5) and 4 => 9. Then answer final answer 9.\n\nWe
+    need to use the functions tool. So first call functions.add with a=2, b=3. Then
+    call again with a= result, b=4. Then respond."},"sequence_number":102}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"rs_tmp_jz24fy2z9lc","type":"reasoning","status":"completed","content":[{"type":"reasoning_text","text":"The
+    user wants: Use add to add 2 and 3. Then use add to add that result and 4. Then
+    give final answer.\n\nWe need to call add function twice: first add 2 and 3 =>
+    result 5. Then add that result (5) and 4 => 9. Then answer final answer 9.\n\nWe
+    need to use the functions tool. So first call functions.add with a=2, b=3. Then
+    call again with a= result, b=4. Then respond."}],"summary":[],"format":"unknown"},"sequence_number":103}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":1,"item":{"id":"fc_tmp_yqc49bd84p","type":"function_call","status":"in_progress","call_id":"call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf","name":"add","arguments":""},"sequence_number":104}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","output_index":1,"item_id":"fc_tmp_yqc49bd84p","delta":"{\n  \"a\":
+    2,\n  \"b\": 3\n}","sequence_number":105}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","output_index":1,"item_id":"fc_tmp_yqc49bd84p","name":"add","arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}","sequence_number":106}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":1,"item":{"id":"fc_tmp_yqc49bd84p","type":"function_call","status":"completed","call_id":"call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf","name":"add","arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"},"sequence_number":107}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"gen-1793761972-ceDTcK3tNCa44UBQ7mYh","object":"response","created_at":1793761972,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761974,"output":[{"id":"rs_tmp_jz24fy2z9lc","type":"reasoning","status":"completed","content":[{"type":"reasoning_text","text":"The
+    user wants: Use add to add 2 and 3. Then use add to add that result and 4. Then
+    give final answer.\n\nWe need to call add function twice: first add 2 and 3 =>
+    result 5. Then add that result (5) and 4 => 9. Then answer final answer 9.\n\nWe
+    need to use the functions tool. So first call functions.add with a=2, b=3. Then
+    call again with a= result, b=4. Then respond."}],"summary":[],"format":"unknown"},{"id":"fc_tmp_yqc49bd84p","type":"function_call","status":"completed","call_id":"call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf","name":"add","arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":2048,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"low"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":324,"input_tokens_details":{"cached_tokens":0},"output_tokens":126,"output_tokens_details":{"reasoning_tokens":108},"total_tokens":450,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":108}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:12:52.602257+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml
new file mode 100644
index 0000000..c596e31
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml
@@ -0,0 +1,245 @@
+filename: 2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - text: 'The user wants: Use add to add 2 and 3. Then use add to add that result
+          and 4. Then give final answer.
+
+
+          We need to call add function twice: first add 2 and 3 => result 5. Then
+          add that result (5) and 4 => 9. Then answer final answer 9.
+
+
+          We need to use the functions tool. So first call functions.add with a=2,
+          b=3. Then call again with a= result, b=4. Then respond.'
+        type: reasoning_text
+      format: unknown
+      id: rs_tmp_jz24fy2z9lc
+      status: completed
+      summary: []
+      type: reasoning
+    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+      call_id: call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf
+      id: fc_tmp_yqc49bd84p
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf
+      output: '5'
+      type: function_call_output
+    max_output_tokens: 2048
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: low
+    store: false
+    stream: true
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1451'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a48b-9df0-7980-a4b9-23bde9b054f7
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"type":"response.created","response":{"id":"gen-1793761975-FlNZ7eszgb5sH5V3O69t","object":"response","created_at":1793761975,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":2048,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"low"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761975-FlNZ7eszgb5sH5V3O69t","object":"response","created_at":1793761975,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":2048,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"low"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"rs_tmp_id1ci0csjjo","type":"reasoning","status":"in_progress","summary":[]},"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.added","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"part":{"type":"reasoning_text","text":""},"sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"We
+    got","sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    result","sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    5","sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":".","sequence_number":7}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    Now","sequence_number":8}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    add","sequence_number":9}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    5","sequence_number":10}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    and","sequence_number":11}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":"
+    4","sequence_number":12}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.delta","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"delta":".","sequence_number":13}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.reasoning_text.done","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"text":"We
+    got result 5. Now add 5 and 4.","sequence_number":14}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.content_part.done","output_index":0,"item_id":"rs_tmp_id1ci0csjjo","content_index":0,"part":{"type":"reasoning_text","text":"We
+    got result 5. Now add 5 and 4."},"sequence_number":15}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"rs_tmp_id1ci0csjjo","type":"reasoning","status":"completed","content":[{"type":"reasoning_text","text":"We
+    got result 5. Now add 5 and 4."}],"summary":[],"format":"unknown"},"sequence_number":16}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":1,"item":{"id":"fc_tmp_6gspjedt008","type":"function_call","status":"in_progress","call_id":"call-b0e8c803-f561-4c2a-8bef-ea30c661e3c1","name":"add","arguments":""},"sequence_number":17}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","output_index":1,"item_id":"fc_tmp_6gspjedt008","delta":"{\n  \"a\":
+    5,\n  \"b\": 4\n}","sequence_number":18}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","output_index":1,"item_id":"fc_tmp_6gspjedt008","name":"add","arguments":"{\n  \"a\":
+    5,\n  \"b\": 4\n}","sequence_number":19}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":1,"item":{"id":"fc_tmp_6gspjedt008","type":"function_call","status":"completed","call_id":"call-b0e8c803-f561-4c2a-8bef-ea30c661e3c1","name":"add","arguments":"{\n  \"a\":
+    5,\n  \"b\": 4\n}"},"sequence_number":20}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"gen-1793761975-FlNZ7eszgb5sH5V3O69t","object":"response","created_at":1793761975,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761976,"output":[{"id":"rs_tmp_id1ci0csjjo","type":"reasoning","status":"completed","content":[{"type":"reasoning_text","text":"We
+    got result 5. Now add 5 and 4."}],"summary":[],"format":"unknown"},{"id":"fc_tmp_6gspjedt008","type":"function_call","status":"completed","call_id":"call-b0e8c803-f561-4c2a-8bef-ea30c661e3c1","name":"add","arguments":"{\n  \"a\":
+    5,\n  \"b\": 4\n}"}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":2048,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"low"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":483,"input_tokens_details":{"cached_tokens":0},"output_tokens":32,"output_tokens_details":{"reasoning_tokens":14},"total_tokens":515,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":21}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:12:55.792634+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml
new file mode 100644
index 0000000..a1ecd80
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml
@@ -0,0 +1,426 @@
+filename: 2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - content:
+      - text: 'The user wants: Use add to add 2 and 3. Then use add to add that result
+          and 4. Then give final answer.
+
+
+          We need to call add function twice: first add 2 and 3 => result 5. Then
+          add that result (5) and 4 => 9. Then answer final answer 9.
+
+
+          We need to use the functions tool. So first call functions.add with a=2,
+          b=3. Then call again with a= result, b=4. Then respond.'
+        type: reasoning_text
+      format: unknown
+      id: rs_tmp_jz24fy2z9lc
+      status: completed
+      summary: []
+      type: reasoning
+    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+      call_id: call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf
+      id: fc_tmp_yqc49bd84p
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-d2207b2b-33a6-4c81-a9ae-92419f3fb3bf
+      output: '5'
+      type: function_call_output
+    - content:
+      - text: We got result 5. Now add 5 and 4.
+        type: reasoning_text
+      format: unknown
+      id: rs_tmp_id1ci0csjjo
+      status: completed
+      summary: []
+      type: reasoning
+    - arguments: "{\n  \"a\": 5,\n  \"b\": 4\n}"
+      call_id: call-b0e8c803-f561-4c2a-8bef-ea30c661e3c1
+      id: fc_tmp_6gspjedt008
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-b0e8c803-f561-4c2a-8bef-ea30c661e3c1
+      output: '9'
+      type: function_call_output
+    max_output_tokens: 2048
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
+      allow_fallbacks: false
+      max_price:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json
new file mode 100644
index 0000000..324c829
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json
@@ -0,0 +1,69 @@
+{
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+  "captured_at": "2026-11-04T03:12:51.992218+00:00",
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+  "upstream_url": "https://openrouter.ai/api/v1/responses",
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+  "scenario": "tools",
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+  "reasoning_setting": "low",
+  "max_tokens": 2048,
+  "extra_body": {
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+      "finish_reason": "tool_calls",
+      "files": [
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+      ]
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+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
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+      ]
+    },
+    {
+      "turn": 2,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "stop",
+      "files": [
+        "2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml"
+      ]
+    }
+  ],
+  "status": "complete"
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml
new file mode 100644
index 0000000..3152202
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml
@@ -0,0 +1,117 @@
+filename: 2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd
+request:
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+    model: nvidia/nemotron-3.5-lightning:free
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+    store: false
+    stream: true
+    tool_choice:
+      name: add
+      type: function
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+          b:
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+        - b
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+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '654'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-eff2-7863-bc10-27597e3466bd
+response:
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+  headers:
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+    connection: keep-alive
+    content-type: text/event-stream
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+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761865-dtG911psR9v58dYHKSXb","object":"response","created_at":1793761865,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"fc_tmp_59qkb6rz65i","type":"function_call","status":"in_progress","call_id":"call-8ded58c0-d65f-428a-93df-022ccee8c0d9","name":"add","arguments":""},"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","output_index":0,"item_id":"fc_tmp_59qkb6rz65i","delta":"{\n  \"a\":
+    2,\n  \"b\": 3\n}","sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","output_index":0,"item_id":"fc_tmp_59qkb6rz65i","name":"add","arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}","sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"fc_tmp_59qkb6rz65i","type":"function_call","status":"completed","call_id":"call-8ded58c0-d65f-428a-93df-022ccee8c0d9","name":"add","arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"},"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"gen-1793761865-dtG911psR9v58dYHKSXb","object":"response","created_at":1793761865,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761866,"output":[{"id":"fc_tmp_59qkb6rz65i","type":"function_call","status":"completed","call_id":"call-8ded58c0-d65f-428a-93df-022ccee8c0d9","name":"add","arguments":"{\n  \"a\":
+    2,\n  \"b\": 3\n}"}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":324,"input_tokens_details":{"cached_tokens":0},"output_tokens":17,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":341,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:11:05.714119+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml
new file mode 100644
index 0000000..97d1590
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml
@@ -0,0 +1,126 @@
+filename: 2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c
+request:
+  body:
+    input:
+    - content: Use add to add 2 and 3. After the result, use add to add that result
+        and 4. Then give the final answer.
+      role: user
+    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
+      call_id: call-8ded58c0-d65f-428a-93df-022ccee8c0d9
+      id: fc_tmp_59qkb6rz65i
+      name: add
+      status: completed
+      type: function_call
+    - call_id: call-8ded58c0-d65f-428a-93df-022ccee8c0d9
+      output: '5'
+      type: function_call_output
+    max_output_tokens: 1024
+    model: nvidia/nemotron-3.5-lightning:free
+    parallel_tool_calls: false
+    provider:
+      allow_fallbacks: false
+      max_price:
+        completion: 0
+        prompt: 0
+        request: 0
+    reasoning:
+      effort: none
+    store: false
+    stream: true
+    tool_choice:
+      name: add
+      type: function
+    tools:
+    - description: Add two integers.
+      name: add
+      parameters:
+        additionalProperties: false
+        properties:
+          a:
+            type: integer
+          b:
+            type: integer
+        required:
+        - a
+        - b
+        type: object
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '936'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /api/v1/responses
+  query_params: {}
+request_id: 01a1a489-f6e6-7053-b3c3-6e1ab76c951c
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+  sse:
+  - 'data: {"type":"response.created","response":{"id":"gen-1793761867-pHpluHBBl253cHfbW1vL","object":"response","created_at":1793761867,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":0}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761867-pHpluHBBl253cHfbW1vL","object":"response","created_at":1793761867,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"fc_tmp_5ktw62a2h07","type":"function_call","status":"in_progress","call_id":"call-e16fedbc-f6c2-4273-a0d8-1aad84877c65","name":"add","arguments":""},"sequence_number":2}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.delta","output_index":0,"item_id":"fc_tmp_5ktw62a2h07","delta":"{
+    \"a\": 2, \"b\": 3 }","sequence_number":3}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.function_call_arguments.done","output_index":0,"item_id":"fc_tmp_5ktw62a2h07","name":"add","arguments":"{
+    \"a\": 2, \"b\": 3 }","sequence_number":4}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"fc_tmp_5ktw62a2h07","type":"function_call","status":"completed","call_id":"call-e16fedbc-f6c2-4273-a0d8-1aad84877c65","name":"add","arguments":"{
+    \"a\": 2, \"b\": 3 }"},"sequence_number":5}
+
+    '
+  - '
+
+    '
+  - 'data: {"type":"response.completed","response":{"id":"gen-1793761867-pHpluHBBl253cHfbW1vL","object":"response","created_at":1793761867,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761867,"output":[{"id":"fc_tmp_5ktw62a2h07","type":"function_call","status":"completed","call_id":"call-e16fedbc-f6c2-4273-a0d8-1aad84877c65","name":"add","arguments":"{
+    \"a\": 2, \"b\": 3 }"}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
+    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":374,"input_tokens_details":{"cached_tokens":0},"output_tokens":14,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":388,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":6}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-04T03:11:07.494395+00:00'
+upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json
new file mode 100644
index 0000000..04cfdd7
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json
@@ -0,0 +1,67 @@
+{
+  "provenance": "recorded",
+  "captured_at": "2026-11-04T03:11:05.149220+00:00",
+  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
+  "working_tree_dirty": true,
+  "python": "3.12.9",
+  "versions": {
+    "openai": "2.53.0",
+    "anthropic": "0.121.0",
+    "httpx": "0.28.1"
+  },
+  "source_hashes": {
+    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
+    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
+    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
+  },
+  "provider": "openrouter",
+  "upstream_protocol": "responses",
+  "upstream_url": "https://openrouter.ai/api/v1/responses",
+  "requested_model": "nvidia/nemotron-3.5-lightning:free",
+  "scenario": "tools",
+  "stream": true,
+  "reasoning_setting": "none",
+  "max_tokens": 1024,
+  "extra_body": {
+    "provider": {
+      "max_price": {
+        "prompt": 0,
+        "completion": 0,
+        "request": 0
+      },
+      "allow_fallbacks": false
+    }
+  },
+  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
+  "sdk_retries": 0,
+  "proxy_retries": 0,
+  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+  "turns": [
+    {
+      "turn": 0,
+      "status": "complete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml"
+      ]
+    },
+    {
+      "turn": 1,
+      "status": "incomplete",
+      "returned_model": "nvidia/nemotron-3.5-lightning:free",
+      "finish_reason": "tool_calls",
+      "files": [
+        "2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml"
+      ]
+    }
+  ],
+  "status": "incomplete",
+  "failure": {
+    "type": "ValueError",
+    "traceback": [
+      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 275, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
+      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 135, in validate_turn\n    raise ValueError(\"Provider did not execute the requested tool scenario.\")\n"
+    ]
+  }
+}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt
new file mode 100644
index 0000000..db4adb4
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt
@@ -0,0 +1,367 @@
+#!/usr/bin/env python3
+"""Record controlled native Chat conversations independently of Molto translation.
+
+Run explicitly outside pytest. Each invocation creates a fresh staging directory;
+review its original recordings before promotion. SDK accumulation failures are
+evidence, and deliberately stop the conversation instead of repairing history.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from dotenv import load_dotenv
+from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
+
+from scripts import recorder_proxy
+
+
+def assistant_history(message, events: list[dict] | None = None) -> dict:
+    """Remove only SDK bookkeeping and empty output-only annotations."""
+    history = message.model_dump(exclude_unset=True)
+    history.pop("parsed", None)
+    if events is not None:
+        emitted = {
+            field for event in events for choice in event["choices"] for field in choice["delta"]
+        }
+        # Fireworks rejects these SDK-created nulls when they were absent on wire.
+        for field in ("annotations", "audio", "function_call"):
+            if history.get(field) is None and field not in emitted:
+                history.pop(field, None)
+    if history.get("annotations") == []:
+        history.pop("annotations")
+    for call in history.get("tool_calls") or []:
+        call.pop("index", None)
+        if "function" in call:
+            call["function"].pop("parsed_arguments", None)
+    return history
+
+
+def accumulation_chunk(event, roles: dict[int, str]):
+    """Remove repeated role snapshots from a copy before SDK string accumulation."""
+    chunk = event.model_copy(deep=True)
+    for choice in chunk.choices:
+        role = choice.delta.role
+        if role is None:
+            continue
+        previous = roles.get(choice.index)
+        if previous is not None and role != previous:
+            raise ValueError("Provider changed the role during a streamed choice.")
+        if previous is not None:
+            # Together repeats the complete role, whereas the SDK concatenates strings.
+            choice.delta = type(choice.delta).model_validate(
+                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
+            )
+        roles[choice.index] = role
+    return chunk
+
+
+def verify_accumulation(events: list[dict], history: dict) -> None:
+    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
+    reasoning = {"reasoning": [], "reasoning_content": []}
+    details: dict[int, dict] = {}
+    for event in events:
+        for choice in event["choices"]:
+            if choice["index"] != 0:
+                raise ValueError("The recording scenario requires exactly one choice.")
+            delta = choice["delta"]
+            for detail in delta.get("reasoning_details") or []:
+                index = detail.get("index")
+                if type(index) is not int or detail.get("type") not in {
+                    "reasoning.text",
+                    "reasoning.summary",
+                }:
+                    raise ValueError("Cannot independently verify this reasoning_details shape.")
+                collected_detail = details.setdefault(index, {})
+                for field, value in detail.items():
+                    if field in {"text", "summary"} and isinstance(value, str):
+                        collected_detail[field] = collected_detail.get(field, "") + value
+                    elif field not in collected_detail or collected_detail[field] == value:
+                        collected_detail[field] = value
+                    else:
+                        raise ValueError("Provider changed reasoning_details metadata.")
+            if delta.get("role") is not None and delta["role"] != history.get("role"):
+                raise ValueError("Accumulated role differs from the original provider metadata.")
+            for field, fragments in reasoning.items():
+                if delta.get(field) is not None:
+                    if not isinstance(delta[field], str):
+                        raise ValueError(
+                            "Cannot independently accumulate non-string reasoning deltas."
+                        )
+                    fragments.append(delta[field])
+            owners = [(delta, history)]
+            for call in delta.get("tool_calls") or []:
+                owners.append((call, history["tool_calls"][call["index"]]))
+            for source, collected in owners:
+                if "extra_content" in source and source["extra_content"] != collected.get(
+                    "extra_content"
+                ):
+                    raise ValueError(
+                        "SDK accumulation changed an opaque extra_content attachment."
+                    )
+    for field, fragments in reasoning.items():
+        if fragments and history.get(field) != "".join(fragments):
+            raise ValueError("SDK accumulation changed reasoning history.")
+    if details and history.get("reasoning_details") != list(details.values()):
+        raise ValueError("SDK accumulation changed reasoning_details history.")
+
+
+def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
+    """Require the complete requested conversation before marking provider evidence complete."""
+    if history.get("role") != "assistant":
+        raise ValueError("SDK accumulation did not retain the assistant role.")
+    calls = history.get("tool_calls") or []
+    expected = []
+    if scenario == "tools" and turn < 2:
+        expected = [[2, 3]] if turn == 0 else [[4, 5]]
+    elif scenario == "parallel" and turn == 0:
+        expected = [[2, 3], [4, 7]]
+    if len(calls) != len(expected):
+        raise ValueError("Provider did not return the required number of tool calls.")
+    if finish_reason != ("tool_calls" if expected else "stop"):
+        raise ValueError("Provider did not complete the requested turn.")
+    if not calls:
+        if not isinstance(history.get("content"), str) or not history["content"].strip():
+            raise ValueError("Provider did not return a final text answer.")
+        return
+    identities = [call.get("id") for call in calls]
+    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
+        set(identities)
+    ) != len(identities):
+        raise ValueError("Provider tool identities are missing or duplicated.")
+    arguments = []
+    for call in calls:
+        function = call["function"]
+        if function["name"] != "add":
+            raise ValueError("Provider returned an unexpected tool.")
+        values = json.loads(function["arguments"])
+        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
+            raise ValueError("Provider returned invalid add arguments.")
+        arguments.append(sorted(values.values()))
+    if sorted(arguments) != expected:
+        raise ValueError("Provider did not execute the requested tool scenario.")
+
+
+async def record(args: argparse.Namespace) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "source_hashes": {
+            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
+            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
+        },
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "provider": args.provider,
+        "upstream_protocol": "chat/completions",
+        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
+        "requested_model": args.model,
+        "authentication": f"Bearer credential from {args.key_env}; value excluded",
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "max_tokens": args.max_tokens,
+        "extra_body": args.extra_body,
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": (
+            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
+            "original SSE and role metadata retained and checked independently; "
+            "reasoning_details text/summary fragments and stable metadata independently checked; "
+            "unverifiable detail shapes rejected without repairing SDK history"
+        ),
+        "history_policy": (
+            "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
+        ),
+        "turns": [],
+        "status": "incomplete",
+    }
+    messages = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
+                {"type": "text", "text": "Reply briefly."},
+            ],
+        }
+    ]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "add",
+                "description": "Add two integers.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "a": {"type": "integer"},
+                        "b": {"type": "integer"},
+                    },
+                    "required": ["a", "b"],
+                    "additionalProperties": False,
+                },
+            },
+        }
+    ]
+    if args.scenario != "text":
+        messages = [
+            {
+                "role": "user",
+                "content": (
+                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
+                    "Then give the final answer."
+                    if args.scenario == "tools"
+                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+                ),
+            }
+        ]
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            async with AsyncOpenAI(
+                api_key=key,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    turn_info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(turn_info)
+                    body = {
+                        "model": args.model,
+                        "messages": messages,
+                        "stream": args.stream,
+                        "max_tokens": args.max_tokens,
+                    }
+                    if args.stream:
+                        body["stream_options"] = {"include_usage": True}
+                    if args.scenario != "text":
+                        body["tools"] = tools
+                        if args.scenario == "parallel":
+                            body["parallel_tool_calls"] = True
+                            body["tool_choice"] = "required" if turn == 0 else "none"
+                        else:
+                            body["tool_choice"] = (
+                                "none"
+                                if turn == 2
+                                else {"type": "function", "function": {"name": "add"}}
+                            )
+                    try:
+                        result = await client.chat.completions.create(
+                            **body, extra_body=args.extra_body
+                        )
+                        if args.stream:
+                            state = ChatCompletionStreamState()
+                            events = []
+                            roles = {}
+                            async with result:
+                                async for event in result:
+                                    events.append(event.model_dump(exclude_unset=True))
+                                    state.handle_chunk(accumulation_chunk(event, roles))
+                            result = state.get_final_completion()
+                        turn_info["returned_model"] = result.model
+                        if len(result.choices) != 1:
+                            raise ValueError("The recording scenario requires exactly one choice.")
+                        choice = result.choices[0]
+                        turn_info["finish_reason"] = choice.finish_reason
+                        history = assistant_history(
+                            choice.message, events if args.stream else None
+                        )
+                        if args.stream:
+                            verify_accumulation(events, history)
+                        validate_turn(history, choice.finish_reason, args.scenario, turn)
+                        messages.append(history)
+                        calls = history.get("tool_calls") or []
+                        for call in calls:
+                            function = call["function"]
+                            arguments = json.loads(function["arguments"])
+                            messages.append(
+                                {
+                                    "role": "tool",
+                                    "tool_call_id": call["id"],
+                                    "content": str(arguments["a"] + arguments["b"]),
+                                }
+                            )
+                        if args.scenario == "text" and turn == 0:
+                            messages.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": "text", "text": "Repeat the phrase"},
+                                        {
+                                            "type": "text",
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        turn_info["status"] = "complete"
+                    finally:
+                        turn_info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        # Exception strings may contain echoed headers or credentials; retain the
+        # class and stack locations while the proxy retains the reviewed response.
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt
new file mode 100644
index 0000000..3e650a4
--- /dev/null
+++ b/tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt
@@ -0,0 +1,359 @@
+#!/usr/bin/env python3
+"""Record native Responses or Messages conversations independently of Molto.
+
+Use the Chat driver for Chat Completions. This companion retains actual Responses
+output or SDK-collected Messages blocks as history and stops on incomplete turns.
+"""
+
+import argparse
+import asyncio
+import json
+import os
+import platform
+import subprocess
+import traceback
+from datetime import datetime, timezone
+from hashlib import sha256
+from importlib.metadata import version
+from pathlib import Path
+from urllib.parse import urlsplit
+
+import httpx
+from anthropic import AsyncAnthropic
+from anthropic import omit as anthropic_omit
+from dotenv import load_dotenv
+from openai import AsyncOpenAI, omit
+
+from scripts import record_provider_conversation, recorder_proxy
+from scripts.record_provider_conversation import validate_turn
+
+
+def initial_history(protocol: str, scenario: str) -> list[dict]:
+    if scenario == "text":
+        part_type = "input_text" if protocol == "responses" else "text"
+        return [
+            {
+                "role": "user",
+                "content": [
+                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
+                    {"type": part_type, "text": "Reply briefly."},
+                ],
+            }
+        ]
+    prompt = (
+        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
+        if scenario == "tools"
+        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
+    )
+    return [{"role": "user", "content": prompt}]
+
+
+def request_body(args, history: list[dict], turn: int) -> dict:
+    body = {"model": args.model}
+    if args.extra_body is not None:
+        body["extra_body"] = args.extra_body
+    schema = {
+        "type": "object",
+        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
+        "required": ["a", "b"],
+        "additionalProperties": False,
+    }
+    final = turn == (2 if args.scenario == "tools" else 1)
+    if args.protocol == "responses":
+        body.update(
+            input=history,
+            store=False,
+            max_output_tokens=args.max_tokens,
+            reasoning={"effort": args.reasoning},
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {
+                    "type": "function",
+                    "name": "add",
+                    "description": "Add two integers.",
+                    "parameters": schema,
+                }
+            ]
+            body["tool_choice"] = (
+                "none"
+                if final
+                else "required"
+                if args.scenario == "parallel"
+                else {"type": "function", "name": "add"}
+            )
+            body["parallel_tool_calls"] = args.scenario == "parallel"
+    else:
+        body.update(messages=history, max_tokens=args.max_tokens)
+        body["thinking"] = (
+            {"type": "disabled"}
+            if args.reasoning == "none"
+            else {"type": "enabled", "budget_tokens": 1024}
+        )
+        if args.scenario != "text":
+            body["tools"] = [
+                {"name": "add", "description": "Add two integers.", "input_schema": schema}
+            ]
+            body["tool_choice"] = (
+                {"type": "none"}
+                if final
+                else {"type": "auto"}
+                if args.reasoning != "none"
+                else {"type": "any", "disable_parallel_tool_use": False}
+                if args.scenario == "parallel"
+                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
+            )
+    return body
+
+
+async def result_and_history(client, args, body: dict):
+    if args.protocol == "responses":
+        result = await client.responses.create(**body, stream=args.stream)
+        if args.stream:
+            terminal = None
+            async with result:
+                async for event in result:
+                    if event.type in {
+                        "response.completed",
+                        "response.incomplete",
+                        "response.failed",
+                    }:
+                        if terminal is not None:
+                            raise ValueError("Multiple Responses terminal events.")
+                        terminal = event.response
+            if terminal is None:
+                raise ValueError("Responses stream has no terminal result.")
+            result = terminal
+        if result.status != "completed":
+            raise ValueError("Responses result did not complete.")
+        content = [item.model_dump(exclude_unset=True) for item in result.output]
+        calls = [
+            {
+                "id": item["call_id"],
+                "type": "function",
+                "function": {"name": item["name"], "arguments": item["arguments"]},
+            }
+            for item in content
+            if item["type"] == "function_call"
+        ]
+        text = "".join(
+            part["text"]
+            for item in content
+            if item["type"] == "message"
+            for part in item["content"]
+            if part["type"] == "output_text"
+        )
+        reason = "tool_calls" if calls else "stop"
+        history = content
+    else:
+        if args.stream:
+            async with client.messages.stream(**body) as stream:
+                stops = 0
+                async for event in stream:
+                    if event.type == "message_stop":
+                        stops += 1
+                if stops != 1:
+                    raise ValueError("Messages stream must contain exactly one message_stop.")
+                result = await stream.get_final_message()
+        else:
+            result = await client.messages.create(**body, stream=False)
+        content = [
+            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
+            for part in result.content
+        ]
+        calls = [
+            {
+                "id": part["id"],
+                "type": "function",
+                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
+            }
+            for part in content
+            if part["type"] == "tool_use"
+        ]
+        text = "".join(part["text"] for part in content if part["type"] == "text")
+        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
+            result.stop_reason, result.stop_reason
+        )
+        history = [{"role": "assistant", "content": content}]
+    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
+
+
+async def record(args) -> int:
+    load_dotenv(override=False)
+    key = os.environ.get(args.key_env)
+    if not key:
+        raise ValueError(f"Configure {args.key_env} before recording.")
+    if args.protocol == "messages" and any(
+        line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
+        for line in os.environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
+    ):
+        raise ValueError(
+            "Remove authentication entries from ANTHROPIC_CUSTOM_HEADERS before recording."
+        )
+    url = urlsplit(args.base_url)
+    if url.username or url.password or url.query or url.fragment:
+        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
+    args.output_dir.mkdir(parents=True, exist_ok=False)
+    recorder_proxy.OUTPUT_DIR = args.output_dir
+    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
+    manifest = {
+        "provenance": "recorded",
+        "captured_at": datetime.now(timezone.utc).isoformat(),
+        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
+        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
+        "python": platform.python_version(),
+        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
+        "source_hashes": {
+            name: sha256(Path(path).read_bytes()).hexdigest()
+            for name, path in {
+                "driver_sha256": __file__,
+                "recorder_sha256": recorder_proxy.__file__,
+                "validation_sha256": record_provider_conversation.__file__,
+            }.items()
+        },
+        "provider": args.provider,
+        "upstream_protocol": args.protocol,
+        "upstream_url": args.base_url.rstrip("/")
+        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
+        "requested_model": args.model,
+        "scenario": args.scenario,
+        "stream": args.stream,
+        "reasoning_setting": args.reasoning,
+        "max_tokens": args.max_tokens,
+        "extra_body": args.extra_body,
+        "authentication": f"{'Bearer' if args.protocol == 'responses' or args.auth == 'bearer' else 'x-api-key'} credential from {args.key_env}; value excluded",
+        "sdk_retries": 0,
+        "proxy_retries": 0,
+        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
+        "turns": [],
+        "status": "incomplete",
+    }
+    history = initial_history(args.protocol, args.scenario)
+    exit_code = 0
+    try:
+        async with httpx.AsyncClient(
+            transport=httpx.ASGITransport(app=recorder_proxy.app)
+        ) as transport:
+            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
+            auth = {"api_key": key}
+            if args.protocol == "messages":
+                auth = {
+                    "api_key": None if args.auth == "bearer" else key,
+                    "auth_token": key if args.auth == "bearer" else None,
+                }
+            async with client_type(
+                **auth,
+                base_url="http://recorder.local" + url.path,
+                http_client=transport,
+                default_headers=(
+                    {
+                        "Authorization": f"Bearer {key}",
+                        "OpenAI-Organization": omit,
+                        "OpenAI-Project": omit,
+                    }
+                    if args.protocol == "responses"
+                    else {
+                        "Authorization": f"Bearer {key}"
+                        if args.auth == "bearer"
+                        else anthropic_omit,
+                        "X-Api-Key": anthropic_omit if args.auth == "bearer" else key,
+                    }
+                ),
+                max_retries=0,
+                timeout=120,
+            ) as client:
+                for turn in range(3 if args.scenario == "tools" else 2):
+                    before = set(args.output_dir.glob("*.yaml"))
+                    info = {"turn": turn, "status": "incomplete"}
+                    manifest["turns"].append(info)
+                    try:
+                        result, output, validation, reason = await result_and_history(
+                            client, args, request_body(args, history, turn)
+                        )
+                        info["returned_model"] = result.model
+                        info["finish_reason"] = reason
+                        validate_turn(validation, reason, args.scenario, turn)
+                        history.extend(output)
+                        tool_results = []
+                        for call in validation["tool_calls"]:
+                            values = json.loads(call["function"]["arguments"])
+                            answer = str(values["a"] + values["b"])
+                            if args.protocol == "responses":
+                                history.append(
+                                    {
+                                        "type": "function_call_output",
+                                        "call_id": call["id"],
+                                        "output": answer,
+                                    }
+                                )
+                            else:
+                                tool_results.append(
+                                    {
+                                        "type": "tool_result",
+                                        "tool_use_id": call["id"],
+                                        "content": answer,
+                                    }
+                                )
+                        if tool_results:
+                            history.append({"role": "user", "content": tool_results})
+                        if args.scenario == "text" and turn == 0:
+                            part_type = "input_text" if args.protocol == "responses" else "text"
+                            history.append(
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {"type": part_type, "text": "Repeat the phrase"},
+                                        {
+                                            "type": part_type,
+                                            "text": " exactly, preserving its spaces.",
+                                        },
+                                    ],
+                                }
+                            )
+                        info["status"] = "complete"
+                    finally:
+                        info["files"] = [
+                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
+                        ]
+        manifest["status"] = "complete"
+    except Exception as error:
+        manifest["failure"] = {
+            "type": type(error).__name__,
+            "traceback": traceback.format_tb(error.__traceback__),
+        }
+        exit_code = 1
+    finally:
+        await recorder_proxy.HTTP_CLIENT.aclose()
+        (args.output_dir / "manifest.json").write_text(
+            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
+        )
+    print(
+        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
+    )
+    return exit_code
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument("--provider", required=True)
+    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
+    parser.add_argument("--base-url", required=True)
+    parser.add_argument("--key-env", required=True)
+    parser.add_argument("--auth", choices=("api-key", "bearer"), default="api-key")
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
+    parser.add_argument("--model", required=True)
+    parser.add_argument("--output-dir", type=Path, required=True)
+    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
+    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
+    parser.add_argument("--stream", action="store_true")
+    parser.add_argument("--max-tokens", type=int, default=2048)
+    return asyncio.run(record(parser.parse_args()))
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

From 6002ba6ab854ecba1384d797d2d6da1e1c0659eb Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Wed, 4 Nov 2026 03:19:19 +0000
Subject: [PATCH 08/15] test: Verify OpenRouter free-model recordings

---
 docs/provider-compatibility.md                |   9 +-
 scripts/record_native_conversation.py         |  29 ++-
 scripts/record_provider_conversation.py       |  22 +-
 tests/cassettes/README.md                     |   6 +-
 .../2026-11-04/openrouter-selection.json      |  27 +--
 tests/core/test_fireworks_conversations.py    | 164 +-------------
 tests/core/test_openrouter_conversations.py   | 162 ++++++++++++++
 .../test_recorded_provider_conversations.py   | 208 +++++++++++++++++-
 tests/test_record_native_conversation.py      |  20 +-
 tests/test_record_provider_conversation.py    |  64 ++++++
 10 files changed, 512 insertions(+), 199 deletions(-)
 create mode 100644 tests/core/test_openrouter_conversations.py

diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 585c910..f11f3cc 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -20,7 +20,7 @@ OpenAI SDK paths append `/responses` or `/chat/completions`; Anthropic SDK paths
 
 Gemini rejects other upstream protocols. Together requires an explicit URL for alternative upstream protocols; such custom endpoint probes do not claim that Together hosts Responses or Messages.
 
-The destination references are [Together's OpenAI compatibility guide](https://docs.together.ai/docs/inference/openai-compatibility), [Gemini's OpenAI guide](https://ai.google.dev/gemini-api/docs/openai), [OpenRouter's API reference](https://openrouter.ai/docs/api/reference/overview), [OpenRouter's Messages configuration](https://github.com/OpenRouterTeam/docs/blob/main/cookbook/coding-agents/claude-code-integration.mdx), [Fireworks' Anthropic guide](https://docs.fireworks.ai/tools-sdks/anthropic-compatibility), and [Bedrock API-key authentication](https://docs.aws.amazon.com/bedrock/latest/userguide/api-keys.html). These documents establish configuration, not replay or live compatibility.
+The destination references are [Together's OpenAI compatibility guide](https://docs.together.ai/docs/inference/openai-compatibility), [Gemini's OpenAI guide](https://ai.google.dev/gemini-api/docs/openai), [OpenRouter's API reference](https://openrouter.ai/docs/api/reference/overview), [OpenRouter's Messages endpoint](https://openrouter.ai/docs/api/api-reference/anthropic-messages/create-a-message), [Fireworks' Anthropic guide](https://docs.fireworks.ai/tools-sdks/anthropic-compatibility), and [Bedrock API-key authentication](https://docs.aws.amazon.com/bedrock/latest/userguide/api-keys.html). These documents establish configuration, not replay or live compatibility.
 
 ## History and reasoning
 
@@ -49,7 +49,10 @@ The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/` a
 | Together, `Qwen/Qwen3.5-9B`, Chat at `/v1/chat/completions` | Two-turn text and three-turn sequential tools in both native modes; explicit parallel tools in native non-streaming mode | Exact native SDK output; accepted non-streaming tool/parallel histories replay exactly; strict unsupported-history rejection for recorded null reasoning/output-only placeholders | Emits `reasoning_content`, so translated reasoning is unsupported. Recorded text history includes null reasoning; streamed collection includes output-only null annotations. These histories reject locally. Streamed parallel runs returned only one call; no live streaming parallel claim |
 | Together, `meta-llama/Llama-3.3-70B-Instruct-Turbo`, Chat | HTTP 400 `model_not_available` | Original error body retained | Account cannot use this model as a serverless endpoint |
 | Gemini, `gemini-3.8-flash`, Chat | HTTP 400 location restriction | Native extension round trips, index repair/ambiguity, translation rejection, exact nested Google wire envelope (synthetic) | No successful live model conversation from this environment |
-| OpenRouter, each protocol | None; credential unavailable | Destination/authentication/native SDK replay and Responses format continuation (synthetic) | Model routing, required backend state, live text/tools, translated provider semantics unknown |
+| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Chat | Text and parallel calls in both modes; non-streaming sequential tools | Exact native SDK output; streamed text/parallel histories replay; recorded non-streaming null reasoning rejects explicitly | Streamed sequential tools with reasoning disabled repeated the first call. Low reasoning exposed SDK corruption of `reasoning_details` metadata; the recorder stopped before continuation |
+| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Responses | Text in both modes; sequential tools non-streaming with reasoning disabled and streaming with low reasoning | Native manual-history SDK parity; first-turn translated replay for representable output | Streamed tools with reasoning disabled repeated the first call. Low reasoning contains raw text, which conflicts with the current summary profile and rejects on translation |
+| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Messages | Text in both modes; sequential tools streaming with reasoning disabled and non-streaming with low reasoning | Native SDK output and exact actual-output history; first-turn translated streaming replay | Non-streaming tools with reasoning disabled repeated the first call. Other models, parallel Messages calls, and translated multi-turn histories unverified |
+| OpenRouter, `liquid/lfm-2.5-2.6b:free`, Chat | HTTP 400 in both modes when reasoning was disabled; low-reasoning attempts encountered HTTP 429 | Original HTTP 400 configuration errors retained | No complete conversation recorded. Both low-reasoning groups are withheld because their rate-limit bodies contain an account identifier |
 | Fireworks, Nemotron Lightning, Chat | Two-turn text, three-turn sequential tools, and two-turn parallel tools, each in both native modes with reasoning `none` and `low` | Native SDK output and actual-output continuation replay; narrow nullable history placeholders | Initial streams submitted SDK-invented null bookkeeping that Fireworks rejected. Those failed captures are retained; successful captures omit only bookkeeping absent from the wire. Other models and images untested |
 | Fireworks, Nemotron Lightning, Responses | The same 12 conversation cells, independently recorded with manual `store=false` history | Native SDK output, reasoning summaries, tool IDs/results, and exact next-request history | Stored `previous_response_id` continuation untested; low reasoning has no encrypted signature and summary translation rejects it |
 | Fireworks, Nemotron Lightning, Messages | The same 12 conversation cells, independently recorded with actual content-block history | Native SDK output, final-event usage, tool IDs/results, and exact next-request history | Low reasoning emits thinking with an empty signature; summary translation rejects this unsupported state. Other models and images untested |
@@ -59,4 +62,6 @@ The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/` a
 
 The Fireworks model is `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b`. Its 47 capture groups contain 36 completed conversations and 11 incomplete attempts, totaling 101 HTTP exchanges. Incomplete attempts retain provider errors, exhausted token budgets, or unmet scenario assertions. Messages low reasoning uses a 1024-token thinking budget; one text retry increased the output limit to 4096. This evidence is specific to the recorded model, settings, and date. Translated replay covers each completed stream's first turn through both other protocols in both downstream modes, comparing independent SDK content, calls, usage, and termination or asserting unsupported unsigned-summary rejection. Chat raw reasoning translates successfully; Responses and Messages low reasoning remain unsupported. Translated replay does not establish that translated request bodies were executed live or that translated multi-turn continuation works.
 
+OpenRouter captures use explicit free model IDs, disabled provider fallbacks, and zero prompt, completion, and request price limits. `openrouter-selection.json` retains the selected public catalog entries and their zero token prices. The public corpus has 19 groups and 40 HTTP exchanges: 13 complete conversations and six unsuccessful attempts. Two additional Liquid low-reasoning groups (three exchanges) remain outside the repository because the rate-limit responses contain an account identifier. Returned costs were zero wherever reported. Captures expose `Nvidia` as the backend on Chat and non-streaming Messages responses; no backend identity is inferred for responses that omit it. Responses uses full manual history with `store=false`; OpenRouter [documents its Responses API as stateless](https://openrouter.ai/docs/api_reference/responses/overview). Availability, free quotas, and model reasoning controls remain specific to these runs.
+
 Synthetic SDK parity probes and replayed OpenAI/Anthropic fixtures establish local routing and serialization only. They do not turn an unrecorded provider cell into live support. Full issue #78 completion still requires the unknown provider cells, broader model-specific continuation evidence, and the separate Anthropic dependency.
diff --git a/scripts/record_native_conversation.py b/scripts/record_native_conversation.py
index 4f20f1b..3e650a4 100644
--- a/scripts/record_native_conversation.py
+++ b/scripts/record_native_conversation.py
@@ -20,6 +20,7 @@
 
 import httpx
 from anthropic import AsyncAnthropic
+from anthropic import omit as anthropic_omit
 from dotenv import load_dotenv
 from openai import AsyncOpenAI, omit
 
@@ -49,6 +50,8 @@ def initial_history(protocol: str, scenario: str) -> list[dict]:
 
 def request_body(args, history: list[dict], turn: int) -> dict:
     body = {"model": args.model}
+    if args.extra_body is not None:
+        body["extra_body"] = args.extra_body
     schema = {
         "type": "object",
         "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
@@ -217,8 +220,8 @@ async def record(args) -> int:
         "stream": args.stream,
         "reasoning_setting": args.reasoning,
         "max_tokens": args.max_tokens,
-        "extra_body": None,
-        "authentication": f"{'Bearer' if args.protocol == 'responses' else 'x-api-key'} credential from {args.key_env}; value excluded",
+        "extra_body": args.extra_body,
+        "authentication": f"{'Bearer' if args.protocol == 'responses' or args.auth == 'bearer' else 'x-api-key'} credential from {args.key_env}; value excluded",
         "sdk_retries": 0,
         "proxy_retries": 0,
         "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
@@ -232,8 +235,14 @@ async def record(args) -> int:
             transport=httpx.ASGITransport(app=recorder_proxy.app)
         ) as transport:
             client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
+            auth = {"api_key": key}
+            if args.protocol == "messages":
+                auth = {
+                    "api_key": None if args.auth == "bearer" else key,
+                    "auth_token": key if args.auth == "bearer" else None,
+                }
             async with client_type(
-                api_key=key,
+                **auth,
                 base_url="http://recorder.local" + url.path,
                 http_client=transport,
                 default_headers=(
@@ -243,7 +252,12 @@ async def record(args) -> int:
                         "OpenAI-Project": omit,
                     }
                     if args.protocol == "responses"
-                    else None
+                    else {
+                        "Authorization": f"Bearer {key}"
+                        if args.auth == "bearer"
+                        else anthropic_omit,
+                        "X-Api-Key": anthropic_omit if args.auth == "bearer" else key,
+                    }
                 ),
                 max_retries=0,
                 timeout=120,
@@ -325,6 +339,13 @@ def main() -> int:
     parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
     parser.add_argument("--base-url", required=True)
     parser.add_argument("--key-env", required=True)
+    parser.add_argument("--auth", choices=("api-key", "bearer"), default="api-key")
+    parser.add_argument(
+        "--extra-body",
+        type=json.loads,
+        default=None,
+        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
+    )
     parser.add_argument("--model", required=True)
     parser.add_argument("--output-dir", type=Path, required=True)
     parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
diff --git a/scripts/record_provider_conversation.py b/scripts/record_provider_conversation.py
index fe62e1b..db4adb4 100644
--- a/scripts/record_provider_conversation.py
+++ b/scripts/record_provider_conversation.py
@@ -70,11 +70,27 @@ def accumulation_chunk(event, roles: dict[int, str]):
 def verify_accumulation(events: list[dict], history: dict) -> None:
     """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
     reasoning = {"reasoning": [], "reasoning_content": []}
+    details: dict[int, dict] = {}
     for event in events:
         for choice in event["choices"]:
             if choice["index"] != 0:
                 raise ValueError("The recording scenario requires exactly one choice.")
             delta = choice["delta"]
+            for detail in delta.get("reasoning_details") or []:
+                index = detail.get("index")
+                if type(index) is not int or detail.get("type") not in {
+                    "reasoning.text",
+                    "reasoning.summary",
+                }:
+                    raise ValueError("Cannot independently verify this reasoning_details shape.")
+                collected_detail = details.setdefault(index, {})
+                for field, value in detail.items():
+                    if field in {"text", "summary"} and isinstance(value, str):
+                        collected_detail[field] = collected_detail.get(field, "") + value
+                    elif field not in collected_detail or collected_detail[field] == value:
+                        collected_detail[field] = value
+                    else:
+                        raise ValueError("Provider changed reasoning_details metadata.")
             if delta.get("role") is not None and delta["role"] != history.get("role"):
                 raise ValueError("Accumulated role differs from the original provider metadata.")
             for field, fragments in reasoning.items():
@@ -97,6 +113,8 @@ def verify_accumulation(events: list[dict], history: dict) -> None:
     for field, fragments in reasoning.items():
         if fragments and history.get(field) != "".join(fragments):
             raise ValueError("SDK accumulation changed reasoning history.")
+    if details and history.get("reasoning_details") != list(details.values()):
+        raise ValueError("SDK accumulation changed reasoning_details history.")
 
 
 def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
@@ -170,7 +188,9 @@ async def record(args: argparse.Namespace) -> int:
         "proxy_retries": 0,
         "accumulation_policy": (
             "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
-            "original SSE and role metadata retained and checked independently"
+            "original SSE and role metadata retained and checked independently; "
+            "reasoning_details text/summary fragments and stable metadata independently checked; "
+            "unverifiable detail shapes rejected without repairing SDK history"
         ),
         "history_policy": (
             "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index 21d6cdb..aa13f01 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -151,8 +151,12 @@ Add `--stream` to record native streaming independently. `--scenario text` recor
 
 `scripts/record_native_conversation.py` provides the corresponding Responses and Messages driver. Select `--protocol responses` or `messages`, `--reasoning none` or `low`, and the provider's SDK base URL. Responses uses manual `store=false` actual-output history; Messages uses the SDK's final content blocks. Responses requires a completed terminal result, and Messages streaming requires exactly one observed `message_stop`; an SDK snapshot alone cannot certify completion.
 
+For OpenRouter, use the OpenAI SDK base `https://openrouter.ai/api/v1`, or the Messages SDK base `https://openrouter.ai/api` with `--auth bearer`. Messages otherwise defaults to API-key authentication. Both drivers accept nonsecret `--extra-body` controls and record them in the manifest. Free-model runs use an explicit catalog-verified `:free` model, `provider.allow_fallbacks: false`, and `provider.max_price` limits of zero for prompt, completion, and request fees, with no plugins. Check current model availability and the free request allowance before recording; a catalog entry alone does not establish successful inference.
+
 Chat streaming can acquire SDK-generated `annotations`, `audio`, and `function_call` null fields absent from the wire. The current driver omits those fields only when no upstream delta emitted them, records the policy in the manifest, and preserves explicitly emitted nulls. Original failed attempts using the earlier history policy remain unchanged. Messages history excludes SDK parser bookkeeping (`__json_buf` and `parsed_output`) while retaining provider fields.
 
+OpenRouter Chat `reasoning_details` text/summary fragments are checked against SDK accumulation, including stable metadata and detail order. The observed repeated `format` metadata is concatenated by the SDK; the recorder retains the original stream and stops rather than submitting corrupted history. Unindexed or opaque detail shapes that cannot be independently verified also stop recording. This validation does not repair provider output or extend Molto's public history schemas.
+
 Inspect staged captures, scan credentials and private content, and validate actual SDK output against subsequent requests. Copy approved originals unchanged into a recorded directory and commit before editing matched copies. Never generate expected fixtures from Molto output or run pytest in recording mode.
 
-See the [provider evidence matrix](../../docs/provider-compatibility.md) for fresh `provider_recordings/2026-11-03/` and `2026-11-04/` captures and the separate historical matched `reference_pr76/` corpus. Fireworks manifests reference exact capture-time driver, validation, and recorder source hashes; the corresponding `sources/<sha256>.txt` snapshots preserve those revisions independently of later driver fixes. Together error fixtures imported from PR #76 commit `42b9040cb2c74b3676d1749b2c4473c16b3bda9f` retain their original bytes; they are historical response evidence with matched requests, not fresh live availability.
+See the [provider evidence matrix](../../docs/provider-compatibility.md) for fresh `provider_recordings/2026-11-03/` and `2026-11-04/` captures and the separate historical matched `reference_pr76/` corpus. Fireworks and OpenRouter manifests reference exact capture-time driver, validation, and recorder source hashes; the corresponding `sources/<sha256>.txt` snapshots preserve those revisions independently of later driver fixes. Together error fixtures imported from PR #76 commit `42b9040cb2c74b3676d1749b2c4473c16b3bda9f` retain their original bytes; they are historical response evidence with matched requests, not fresh live availability.
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
index e636912..aa128fd 100644
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
+++ b/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
@@ -34,12 +34,8 @@
       ],
       "architecture": {
         "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
+        "input_modalities": ["text"],
+        "output_modalities": ["text"],
         "tokenizer": "Other",
         "instruct_type": null
       }
@@ -51,24 +47,11 @@
         "prompt": "0",
         "completion": "0"
       },
-      "supported_parameters": [
-        "include_reasoning",
-        "max_tokens",
-        "reasoning",
-        "seed",
-        "temperature",
-        "tool_choice",
-        "tools",
-        "top_p"
-      ],
+      "supported_parameters": ["include_reasoning", "max_tokens", "reasoning", "seed", "temperature", "tool_choice", "tools", "top_p"],
       "architecture": {
         "modality": "text->text",
-        "input_modalities": [
-          "text"
-        ],
-        "output_modalities": [
-          "text"
-        ],
+        "input_modalities": ["text"],
+        "output_modalities": ["text"],
         "tokenizer": "Other",
         "instruct_type": null
       }
diff --git a/tests/core/test_fireworks_conversations.py b/tests/core/test_fireworks_conversations.py
index cc0bdce..272d8e3 100644
--- a/tests/core/test_fireworks_conversations.py
+++ b/tests/core/test_fireworks_conversations.py
@@ -1,19 +1,14 @@
 """Replay independently recorded Fireworks protocol conversations and translated output."""
 
 import json
-from contextlib import nullcontext
 from pathlib import Path
 
-import httpx
 import pytest
-from anthropic import AsyncAnthropic
-from openai import AsyncOpenAI
 
-from molto import Molto
-from molto.utils.io import dumps_sse, json_loads, read_yaml
-from tests.core.test_interface import _assert_responses_stream_invariants
-from tests.core.test_recorded_provider_conversations import collect, replay_conversation
-from tests.core.test_together_conversations import _semantics
+from tests.core.test_recorded_provider_conversations import (
+    replay_conversation,
+    replay_translated_first_turn,
+)
 
 ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
 GROUPS = [
@@ -30,51 +25,6 @@ async def test_fireworks_native_conversation_sdk_parity(group):
     await replay_conversation(group, protocol=manifest["upstream_protocol"])
 
 
-def translated_request(recorded, upstream, downstream, stream):
-    """Build only the captured user text and function definitions in another protocol."""
-    history = recorded["input" if upstream == "responses" else "messages"]
-    assert len(history) == 1 and history[0]["role"] == "user"
-    content = history[0]["content"]
-    parts = [content] if isinstance(content, str) else [part["text"] for part in content]
-    body = {"model": recorded["model"], "stream": stream}
-    body["input" if downstream == "responses" else "messages"] = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "input_text" if downstream == "responses" else "text", "text": part}
-                for part in parts
-            ],
-        }
-    ]
-    limit = next(
-        recorded[key]
-        for key in ("max_tokens", "max_output_tokens", "max_completion_tokens")
-        if key in recorded
-    )
-    body["max_output_tokens" if downstream == "responses" else "max_tokens"] = limit
-    if recorded.get("tools"):
-        tool = recorded["tools"][0]
-        function = tool["function"] if upstream == "chat/completions" else tool
-        payload = {
-            "name": function["name"],
-            "description": function["description"],
-            "parameters": function["input_schema" if upstream == "messages" else "parameters"],
-            "strict": False,
-        }
-        body["tools"] = [
-            {"type": "function", "function": payload}
-            if downstream == "chat/completions"
-            else {"type": "function", **payload}
-            if downstream == "responses"
-            else {
-                "name": payload["name"],
-                "description": payload["description"],
-                "input_schema": payload["parameters"],
-            }
-        ]
-    return body
-
-
 @pytest.mark.parametrize(
     ("group", "downstream"),
     [
@@ -88,108 +38,4 @@ def translated_request(recorded, upstream, downstream, stream):
 @pytest.mark.parametrize("stream", [False, True])
 async def test_fireworks_translated_first_turn_sdk_semantics(group, downstream, stream):
     """Ensures recorded first-turn content, calls, usage and lifecycle survive public translation."""
-    manifest = json.loads((group / "manifest.json").read_text())
-    upstream = manifest["upstream_protocol"]
-    recording = read_yaml(group / manifest["turns"][0]["files"][0])
-    recorded = recording["request"]["body"]
-    body = translated_request(recorded, upstream, downstream, stream)
-    expected = translated_request(recorded, upstream, upstream, True)
-    # This offline output smoke keeps captured provider controls as explicit overrides;
-    # it does not claim the translated request was itself executed against Fireworks.
-    controls = {
-        key: recorded[key]
-        for key in (
-            "reasoning",
-            "reasoning_effort",
-            "thinking",
-            "tool_choice",
-            "parallel_tool_calls",
-            "store",
-        )
-        if key in recorded
-    }
-    expected.update(controls)
-    if upstream == "chat/completions":
-        expected["max_completion_tokens"] = expected.pop("max_tokens")
-        expected["stream_options"] = {"include_usage": True}
-    if downstream == "messages" and upstream != "messages":
-        expected.setdefault("stream_options", {})["include_obfuscation"] = False
-    calls = 0
-
-    def handler(request):
-        nonlocal calls
-        calls += 1
-        assert str(request.url) == manifest["upstream_url"]
-        assert json_loads(request.content) == expected
-        return httpx.Response(
-            200,
-            text="".join(recording["response"]["sse"]),
-            headers={"content-type": "text/event-stream"},
-        )
-
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(
-            lambda _: httpx.Response(
-                200,
-                text="".join(recording["response"]["sse"]),
-                headers={"content-type": "text/event-stream"},
-            )
-        )
-    ) as transport:
-        sdk = (
-            AsyncAnthropic(api_key="test", http_client=transport)
-            if upstream == "messages"
-            else AsyncOpenAI(api_key="test", http_client=transport)
-        )
-        create = (
-            sdk.messages.create
-            if upstream == "messages"
-            else sdk.responses.create
-            if upstream == "responses"
-            else sdk.chat.completions.create
-        )
-        reference, _ = await collect(await create(**recorded), True, upstream)
-    rejection = None
-    if upstream == "messages" and any(
-        block.type == "thinking" and block.thinking and not block.signature
-        for block in reference.content
-    ):
-        rejection = "An Anthropic reasoning summary requires a signature."
-    if upstream == "responses" and any(
-        item.type == "reasoning" and item.summary and not item.encrypted_content
-        for item in reference.output
-    ):
-        rejection = "A Responses reasoning summary requires a signature."
-    transport = httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    with pytest.raises(ValueError, match=rejection) if rejection else nullcontext():
-        async with Molto(http_client=transport) as molto:
-            result = await getattr(molto, downstream.replace("/", "_"))(
-                body, provider="fireworks", endpoint=upstream, api_key="test", extra_body=controls
-            )
-            actual, events = await collect(result, stream, downstream)
-    assert calls == 1
-    assert transport.is_closed
-    if rejection:
-        return
-    expected_semantics = _semantics(reference, upstream)
-    actual_semantics = _semantics(actual, downstream)
-    assert actual_semantics == expected_semantics
-    if stream and downstream == "responses":
-        _assert_responses_stream_invariants([dumps_sse(event) for event in events])
-
-    if stream and downstream == "messages":
-        assert events[0]["type"] == "message_start"
-        assert events[-1]["type"] == "message_stop"
-        starts = [event["index"] for event in events if event["type"] == "content_block_start"]
-        stops = [event["index"] for event in events if event["type"] == "content_block_stop"]
-        assert starts == stops == list(range(len(starts)))
-    if stream and downstream == "chat/completions":
-        assert sum(bool(event["usage"]) for event in events) == 1
-        assert (
-            sum(
-                choice["finish_reason"] is not None
-                for event in events
-                for choice in event["choices"]
-            )
-            == 1
-        )
+    await replay_translated_first_turn(group, downstream, stream)
diff --git a/tests/core/test_openrouter_conversations.py b/tests/core/test_openrouter_conversations.py
new file mode 100644
index 0000000..64e9f3c
--- /dev/null
+++ b/tests/core/test_openrouter_conversations.py
@@ -0,0 +1,162 @@
+"""Replay recorded OpenRouter free-model conversations without live provider requests."""
+
+import json
+from pathlib import Path
+
+import httpx
+import pytest
+from openai import AsyncOpenAI, BadRequestError
+from openai.lib.streaming.chat import ChatCompletionStreamState
+
+from molto import Molto
+from molto.utils.io import json_loads, read_yaml
+from scripts.record_provider_conversation import (
+    accumulation_chunk,
+    assistant_history,
+    verify_accumulation,
+)
+from tests.core.test_recorded_provider_conversations import (
+    replay_conversation,
+    replay_translated_first_turn,
+)
+
+ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
+GROUPS = [
+    path.parent
+    for path in sorted(ROOT.glob("openrouter-*/manifest.json"))
+    if json.loads(path.read_text())["status"] == "complete"
+]
+
+
+@pytest.mark.parametrize("group", GROUPS, ids=lambda path: path.name)
+async def test_openrouter_native_conversation_sdk_parity(group):
+    """Ensures native OpenRouter output and actual next-turn history match independent SDK replay."""
+    manifest = json.loads((group / "manifest.json").read_text())
+    rejection = (
+        {"reasoning.str": "string_type", "reasoning.list[str]": "list_type"}
+        if group.name
+        in (
+            "openrouter-chat-text-nonstream-none",
+            "openrouter-chat-tools-nonstream-none",
+            "openrouter-chat-parallel-nonstream-none",
+        )
+        else None
+    )
+    await replay_conversation(
+        group, rejected_history=rejection, protocol=manifest["upstream_protocol"]
+    )
+
+
+@pytest.mark.parametrize(
+    ("group", "downstream"),
+    [
+        pytest.param(group, downstream, id=f"{group.name}-{downstream}")
+        for group in GROUPS
+        if json.loads((group / "manifest.json").read_text())["stream"]
+        for downstream in ("chat/completions", "responses", "messages")
+        if downstream != json.loads((group / "manifest.json").read_text())["upstream_protocol"]
+    ],
+)
+@pytest.mark.parametrize("stream", [False, True])
+async def test_openrouter_translated_first_turn_sdk_semantics(group, downstream, stream):
+    """Ensures recorded content, tools, usage and explicit translation boundaries match SDK output."""
+    await replay_translated_first_turn(group, downstream, stream)
+
+
+@pytest.mark.parametrize("stream", [False, True])
+async def test_openrouter_liquid_mandatory_reasoning_error_sdk_parity(stream):
+    """Ensures both native modes preserve Liquid's recorded HTTP400 mandatory-reasoning error."""
+    group = ROOT / f"openrouter-chat-text-{'stream' if stream else 'nonstream'}-none-liquid"
+    manifest = json.loads((group / "manifest.json").read_text())
+    recording = read_yaml(group / manifest["turns"][0]["files"][0])
+    recorded = recording["request"]["body"]
+    extras = manifest["extra_body"]
+    body = {key: value for key, value in recorded.items() if key not in extras}
+    calls = 0
+
+    def handler(request):
+        nonlocal calls
+        calls += 1
+        assert str(request.url) == manifest["upstream_url"]
+        assert json_loads(request.content) == recorded
+        assert request.headers["authorization"] == "Bearer replay-key"
+        response = recording["response"]
+        return httpx.Response(
+            response["status_code"],
+            content=response["body_bytes"],
+            headers={"content-type": "application/json"},
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+        sdk = AsyncOpenAI(
+            api_key="replay-key",
+            base_url="https://openrouter.ai/api/v1",
+            http_client=transport,
+            max_retries=0,
+        )
+        with pytest.raises(BadRequestError) as reference:
+            await sdk.chat.completions.create(**body, extra_body=extras)
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        with pytest.raises(BadRequestError) as actual:
+            await molto.chat_completions(
+                body, provider="openrouter", api_key="replay-key", extra_body=extras
+            )
+    assert calls == 2
+    assert actual.value.status_code == reference.value.status_code == 400
+    assert actual.value.body == reference.value.body == recording["response"]["body"]["error"]
+    assert actual.value.message == reference.value.message
+    assert (
+        actual.value.response.content
+        == reference.value.response.content
+        == recording["response"]["body_bytes"]
+    )
+    assert actual.value.response.is_closed and reference.value.response.is_closed
+
+
+async def test_openrouter_low_reasoning_native_events_preserve_sdk_accumulation_failure():
+    """Ensures raw native events remain exact while corrupted SDK reasoning history is rejected."""
+    group = ROOT / "openrouter-chat-tools-stream-low"
+    manifest = json.loads((group / "manifest.json").read_text())
+    recording = read_yaml(group / manifest["turns"][0]["files"][0])
+    recorded = recording["request"]["body"]
+    extras = manifest["extra_body"]
+    body = {key: value for key, value in recorded.items() if key not in extras}
+    calls = 0
+
+    def handler(request):
+        nonlocal calls
+        calls += 1
+        assert str(request.url) == manifest["upstream_url"]
+        assert json_loads(request.content) == recorded
+        return httpx.Response(
+            200,
+            text="".join(recording["response"]["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+        sdk = AsyncOpenAI(
+            api_key="replay-key",
+            base_url="https://openrouter.ai/api/v1",
+            http_client=transport,
+            max_retries=0,
+        )
+        async with await sdk.chat.completions.create(**body, extra_body=extras) as result:
+            reference = [event async for event in result]
+        async with Molto(http_client=transport) as molto:
+            async with await molto.chat_completions(
+                body, provider="openrouter", api_key="replay-key", extra_body=extras
+            ) as result:
+                actual = [event.model_dump(exclude_unset=True) async for event in result]
+    expected = [event.model_dump(exclude_unset=True) for event in reference]
+    assert actual == expected
+    assert calls == 2
+    state = ChatCompletionStreamState()
+    roles = {}
+    for event in reference:
+        state.handle_chunk(accumulation_chunk(event, roles))
+    history = assistant_history(state.get_final_completion().choices[0].message, events=expected)
+    with pytest.raises(ValueError, match="SDK accumulation changed reasoning_details history"):
+        verify_accumulation(expected, history)
diff --git a/tests/core/test_recorded_provider_conversations.py b/tests/core/test_recorded_provider_conversations.py
index 9a3b0af..ff2b8b2 100644
--- a/tests/core/test_recorded_provider_conversations.py
+++ b/tests/core/test_recorded_provider_conversations.py
@@ -1,24 +1,27 @@
 """Replay original provider conversations without regenerating expected history."""
 
 import json
+from contextlib import nullcontext
 from copy import deepcopy
 from pathlib import Path
 
 import httpx
 import pytest
-from anthropic import AsyncAnthropic
+from anthropic import AsyncAnthropic, omit
 from openai import AsyncOpenAI
 from openai.lib.streaming.chat import ChatCompletionStreamState
 from pydantic import ValidationError
 
 from molto import Molto
-from molto.utils.io import json_loads, read_yaml
+from molto.utils.io import dumps_sse, json_loads, read_yaml
 from scripts.record_provider_conversation import (
     accumulation_chunk,
     assistant_history,
     verify_accumulation,
 )
 from tests.core.history_helpers import _collect_response
+from tests.core.test_interface import _assert_responses_stream_invariants
+from tests.core.test_together_conversations import _semantics
 
 ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-03"
 GROUPS = [
@@ -81,6 +84,7 @@ async def replay_conversation(group, rejected_history=None, *, protocol="chat/co
     manifest = json.loads((group / "manifest.json").read_text())
     recordings = [read_yaml(group / turn["files"][0]) for turn in manifest["turns"]]
     stream = manifest["stream"]
+    bearer_auth = protocol == "messages" and manifest["provider"] in ("openrouter", "bedrock")
     history_key = "input" if protocol == "responses" else "messages"
     messages = deepcopy(recordings[0]["request"]["body"][history_key])
     calls = 0
@@ -98,10 +102,11 @@ def handler(request, expected_body=expected_body, recording=recording):
             calls += 1
             assert str(request.url) == manifest["upstream_url"]
             assert json_loads(request.content) == expected_body
-            if protocol == "messages":
+            if protocol == "messages" and not bearer_auth:
                 assert request.headers["x-api-key"] == "replay-key"
             else:
                 assert request.headers["authorization"] == "Bearer replay-key"
+                assert "x-api-key" not in request.headers
             recorded = recording["response"]
             if "sse" in recorded:
                 return httpx.Response(
@@ -119,7 +124,15 @@ def handler(request, expected_body=expected_body, recording=recording):
             sdk_type = AsyncAnthropic if protocol == "messages" else AsyncOpenAI
             suffix = "/v1/messages" if protocol == "messages" else f"/{protocol}"
             sdk = sdk_type(
-                api_key="replay-key",
+                **(
+                    {
+                        "auth_token": "replay-key",
+                        "api_key": None,
+                        "default_headers": {"x-api-key": omit},
+                    }
+                    if bearer_auth
+                    else {"api_key": "replay-key"}
+                ),
                 base_url=manifest["upstream_url"].removesuffix(suffix),
                 http_client=transport,
                 max_retries=0,
@@ -148,14 +161,19 @@ def handler(request, expected_body=expected_body, recording=recording):
                     )
             assert calls == before
             assistant_errors = {
-                failure["loc"][-1]: failure["type"]
+                ".".join(map(str, failure["loc"][3:])): failure["type"]
                 for failure in error.value.errors()
                 if failure["loc"][:3]
                 == ("messages", 1, "ChatCompletionAssistantMessageWithReasoningParam")
             }
             assert assistant_errors == rejected_history
-            for field in rejected_history:
-                assert messages[1][field] is None
+            for failure in error.value.errors():
+                if failure["loc"][:3] == (
+                    "messages",
+                    1,
+                    "ChatCompletionAssistantMessageWithReasoningParam",
+                ):
+                    assert failure["input"] == messages[1][failure["loc"][3]]
             rejected = True
         if not rejected:
             async with Molto(
@@ -257,3 +275,179 @@ async def test_together_alternative_endpoint_requires_explicit_destination(downs
             await getattr(molto, downstream)(
                 body, provider="togetherai", endpoint="responses", api_key="provider-key"
             )
+
+
+def translated_request(recorded, upstream, downstream, stream):
+    """Build only the captured user text and function definitions in another protocol."""
+    history = recorded["input" if upstream == "responses" else "messages"]
+    assert len(history) == 1 and history[0]["role"] == "user"
+    content = history[0]["content"]
+    parts = [content] if isinstance(content, str) else [part["text"] for part in content]
+    body = {"model": recorded["model"], "stream": stream}
+    body["input" if downstream == "responses" else "messages"] = [
+        {
+            "role": "user",
+            "content": [
+                {"type": "input_text" if downstream == "responses" else "text", "text": part}
+                for part in parts
+            ],
+        }
+    ]
+    limit = next(
+        recorded[key]
+        for key in ("max_tokens", "max_output_tokens", "max_completion_tokens")
+        if key in recorded
+    )
+    body["max_output_tokens" if downstream == "responses" else "max_tokens"] = limit
+    if recorded.get("tools"):
+        tool = recorded["tools"][0]
+        function = tool["function"] if upstream == "chat/completions" else tool
+        payload = {
+            "name": function["name"],
+            "description": function["description"],
+            "parameters": function["input_schema" if upstream == "messages" else "parameters"],
+            "strict": False,
+        }
+        body["tools"] = [
+            {"type": "function", "function": payload}
+            if downstream == "chat/completions"
+            else {"type": "function", **payload}
+            if downstream == "responses"
+            else {
+                "name": payload["name"],
+                "description": payload["description"],
+                "input_schema": payload["parameters"],
+            }
+        ]
+    return body
+
+
+async def replay_translated_first_turn(group, downstream, stream):
+    """Compare first-turn translation with the independent SDK or an explicit output boundary."""
+    manifest = json.loads((group / "manifest.json").read_text())
+    upstream = manifest["upstream_protocol"]
+    recording = read_yaml(group / manifest["turns"][0]["files"][0])
+    recorded = recording["request"]["body"]
+    body = translated_request(recorded, upstream, downstream, stream)
+    expected = translated_request(recorded, upstream, upstream, True)
+    # This offline output smoke keeps captured provider controls as explicit overrides;
+    # it does not claim the translated request was itself executed against the provider.
+    controls = {
+        key: recorded[key]
+        for key in (
+            "reasoning",
+            "reasoning_effort",
+            "thinking",
+            "tool_choice",
+            "parallel_tool_calls",
+            "store",
+        )
+        if key in recorded
+    }
+    controls.update(manifest.get("extra_body") or {})
+    expected.update(controls)
+    if upstream == "chat/completions":
+        expected["max_completion_tokens"] = expected.pop("max_tokens")
+        expected["stream_options"] = {"include_usage": True}
+    if downstream == "messages" and upstream != "messages":
+        expected.setdefault("stream_options", {})["include_obfuscation"] = False
+    calls = 0
+
+    def handler(request):
+        nonlocal calls
+        calls += 1
+        assert str(request.url) == manifest["upstream_url"]
+        assert json_loads(request.content) == expected
+        return httpx.Response(
+            200,
+            text="".join(recording["response"]["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: httpx.Response(
+                200,
+                text="".join(recording["response"]["sse"]),
+                headers={"content-type": "text/event-stream"},
+            )
+        )
+    ) as transport:
+        sdk = (
+            AsyncAnthropic(api_key="test", http_client=transport)
+            if upstream == "messages"
+            else AsyncOpenAI(api_key="test", http_client=transport)
+        )
+        create = (
+            sdk.messages.create
+            if upstream == "messages"
+            else sdk.responses.create
+            if upstream == "responses"
+            else sdk.chat.completions.create
+        )
+        sdk_body = {
+            key: value
+            for key, value in recorded.items()
+            if key not in (manifest.get("extra_body") or {})
+        }
+        reference, _ = await collect(
+            await create(**sdk_body, extra_body=manifest.get("extra_body")), True, upstream
+        )
+    rejection = None
+    if upstream == "messages" and any(
+        block.type == "thinking" and block.thinking and not block.signature
+        for block in reference.content
+    ):
+        rejection = "An Anthropic reasoning summary requires a signature."
+    if upstream == "responses" and any(
+        item.type == "reasoning" and item.summary and not item.encrypted_content
+        for item in reference.output
+    ):
+        rejection = "A Responses reasoning summary requires a signature."
+    if (
+        upstream == "responses"
+        and manifest["provider"] == "openrouter"
+        and any(
+            item.type == "reasoning"
+            and any(part.type == "reasoning_text" and part.text for part in item.content or [])
+            for item in reference.output
+        )
+    ):
+        rejection = "Summarized Responses reasoning cannot contain raw text."
+    transport = httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    with pytest.raises(ValueError, match=rejection) if rejection else nullcontext():
+        async with Molto(http_client=transport) as molto:
+            result = await getattr(molto, downstream.replace("/", "_"))(
+                body,
+                provider=manifest["provider"],
+                endpoint=upstream,
+                api_key="test",
+                extra_body=controls,
+            )
+            actual, events = await collect(result, stream, downstream)
+    assert calls == 1
+    assert transport.is_closed
+    if rejection:
+        return
+    expected_semantics = _semantics(reference, upstream)
+    actual_semantics = _semantics(actual, downstream)
+    assert actual_semantics == expected_semantics
+    if stream and downstream == "responses":
+        _assert_responses_stream_invariants([dumps_sse(event) for event in events])
+
+    if stream and downstream == "messages":
+        assert events[0]["type"] == "message_start"
+        assert events[-1]["type"] == "message_stop"
+        starts = [event["index"] for event in events if event["type"] == "content_block_start"]
+        stops = [event["index"] for event in events if event["type"] == "content_block_stop"]
+        assert starts == stops == list(range(len(starts)))
+    if stream and downstream == "chat/completions":
+        assert sum(bool(event["usage"]) for event in events) == 1
+        assert (
+            sum(
+                choice["finish_reason"] is not None
+                for event in events
+                for choice in event["choices"]
+            )
+            == 1
+        )
diff --git a/tests/test_record_native_conversation.py b/tests/test_record_native_conversation.py
index c2c8615..5bc10a8 100644
--- a/tests/test_record_native_conversation.py
+++ b/tests/test_record_native_conversation.py
@@ -30,18 +30,26 @@ def recording_args(monkeypatch, tmp_path):
         reasoning="none",
         stream=False,
         max_tokens=2048,
+        auth="api-key",
+        extra_body=None,
     )
 
 
 @pytest.mark.parametrize("protocol", ["responses", "messages"])
 @pytest.mark.parametrize("stream", [False, True])
 @pytest.mark.parametrize("scenario", ["text", "tools"])
+@pytest.mark.parametrize("bearer", [False, True])
 async def test_native_driver_replays_exact_recorded_conversation(
-    monkeypatch, recording_args, protocol, stream, scenario
+    monkeypatch, recording_args, protocol, stream, scenario, bearer
 ):
     """Ensures actual native SDK output yields each exact recorded next request and linked tool result."""
     args = recording_args
     args.protocol, args.stream, args.scenario = protocol, stream, scenario
+    if bearer:
+        args.auth = "bearer"
+        args.extra_body = {"provider": {"max_price": {"prompt": 0, "completion": 0}}}
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-api-key")
+    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated-token")
     args.base_url = "https://api.fireworks.ai/inference" + (
         "/v1" if protocol == "responses" else ""
     )
@@ -58,13 +66,18 @@ async def test_native_driver_replays_exact_recorded_conversation(
     def handler(request):
         captured = recordings[len(requests)]
         requests.append(json.loads(request.content))
-        assert requests[-1] == captured["request"]["body"]
+        assert requests[-1] == captured["request"]["body"] | (args.extra_body or {})
         assert str(request.url) == manifest["upstream_url"]
         if protocol == "responses":
             assert request.headers["authorization"] == "Bearer native-test-key"
             assert requests[-1]["store"] is False
         else:
-            assert request.headers["x-api-key"] == "native-test-key"
+            if bearer:
+                assert request.headers["authorization"] == "Bearer native-test-key"
+                assert "x-api-key" not in request.headers
+            else:
+                assert request.headers["x-api-key"] == "native-test-key"
+                assert "authorization" not in request.headers
         result = captured["response"]
         if "sse" in result:
             return httpx.Response(
@@ -84,6 +97,7 @@ def handler(request):
         assert upstream.is_closed
     actual = json.loads((args.output_dir / "manifest.json").read_text())
     assert actual["status"] == "complete"
+    assert actual["extra_body"] == args.extra_body
     assert len(requests) == len(recordings)
     assert all(
         turn["status"] == "complete" and len(turn["files"]) == 1 for turn in actual["turns"]
diff --git a/tests/test_record_provider_conversation.py b/tests/test_record_provider_conversation.py
index 3b4e879..c52874f 100644
--- a/tests/test_record_provider_conversation.py
+++ b/tests/test_record_provider_conversation.py
@@ -430,3 +430,67 @@ def test_history_omits_only_unemitted_sdk_null_bookkeeping(field, emitted):
         assert history[field] is None
     assert message.model_dump() == original
     assert field in driver.assistant_history(message)
+
+
+def test_reasoning_detail_verification_rejects_sdk_metadata_concatenation():
+    """Ensures repeated detail metadata cannot be silently corrupted in actual SDK history."""
+    from openai.lib.streaming.chat import ChatCompletionStreamState
+    from openai.types.chat import ChatCompletionChunk
+
+    state = ChatCompletionStreamState()
+    events = []
+    for text in ("First ", "thought."):
+        event = ChatCompletionChunk.model_validate(
+            {
+                "id": "chat",
+                "created": 1,
+                "model": "m",
+                "object": "chat.completion.chunk",
+                "choices": [
+                    {
+                        "index": 0,
+                        "delta": {
+                            "reasoning_details": [
+                                {
+                                    "index": 0,
+                                    "type": "reasoning.text",
+                                    "format": "unknown",
+                                    "text": text,
+                                }
+                            ]
+                        },
+                        "finish_reason": None,
+                    }
+                ],
+            }
+        )
+        events.append(event.model_dump(exclude_unset=True))
+        state.handle_chunk(event)
+    history = state.current_completion_snapshot.choices[0].message.model_dump(exclude_unset=True)
+    assert history["reasoning_details"][0]["format"] == "unknownunknown"
+    with pytest.raises(ValueError, match="changed reasoning_details"):
+        driver.verify_accumulation(events, history)
+    correct = deepcopy(history)
+    correct["reasoning_details"][0]["format"] = "unknown"
+    driver.verify_accumulation(events, correct)
+    assert history["reasoning_details"][0]["format"] == "unknownunknown"
+
+
+def test_reasoning_detail_verification_rejects_unverifiable_opaque_shape():
+    """Ensures encrypted payloads are not certified using invented concatenation semantics."""
+    events = [
+        {
+            "choices": [
+                {
+                    "index": 0,
+                    "delta": {
+                        "reasoning_details": [
+                            {"index": 0, "type": "reasoning.encrypted", "data": "opaque"}
+                        ]
+                    },
+                }
+            ]
+        }
+    ]
+    with pytest.raises(ValueError, match="Cannot independently verify"):
+        driver.verify_accumulation(events, {})

From efa174a00ddf4f034c92e092a106651229bd092b Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Thu, 5 Nov 2026 02:40:23 +0000
Subject: [PATCH 09/15] feat: Add explicit provider-protocol clients and
 multi-turn coverage

---
 docs/protocols/anthropic-messages.md          |   2 +
 docs/protocols/openai-responses.md            |   2 +-
 docs/provider-compatibility.md                |  10 +-
 python/ARCHITECTURE.md                        |  10 +-
 python/CONVENTIONS.md                         |   4 +-
 python/molto/adapters/anthropic.py            |  12 +-
 python/molto/adapters/openai.py               |  12 +-
 python/molto/core.py                          | 146 ++-----
 python/molto/providers.py                     |  17 +-
 python/molto/upstream/base.py                 |  18 +-
 python/molto/upstream/bedrock.py              |  20 +
 python/molto/upstream/compatible.py           |  20 +
 python/molto/upstream/fireworks.py            |  26 ++
 python/molto/upstream/gemini.py               |   1 +
 python/molto/upstream/openai.py               |  71 +++-
 python/molto/upstream/openrouter.py           |  47 +++
 python/molto/upstream/registry.py             |  58 +++
 python/molto/upstream/together.py             |  26 +-
 python/molto/upstream/vllm.py                 |  16 +
 tests/adapters/test_anthropic.py              |  25 +-
 tests/cassettes/README.md                     |   2 +
 .../test_recorded_provider_conversations.py   |  10 -
 tests/test_provider_clients.py                | 235 +++++++++++
 tests/upstream/test_multi_turn.py             | 393 ++++++++++++++++--
 tests/upstream/test_openrouter.py             | 122 ++++++
 25 files changed, 1084 insertions(+), 221 deletions(-)
 create mode 100644 python/molto/upstream/bedrock.py
 create mode 100644 python/molto/upstream/compatible.py
 create mode 100644 python/molto/upstream/fireworks.py
 create mode 100644 python/molto/upstream/openrouter.py
 create mode 100644 python/molto/upstream/registry.py
 create mode 100644 python/molto/upstream/vllm.py
 create mode 100644 tests/test_provider_clients.py
 create mode 100644 tests/upstream/test_openrouter.py

diff --git a/docs/protocols/anthropic-messages.md b/docs/protocols/anthropic-messages.md
index a8d2b83..047f480 100644
--- a/docs/protocols/anthropic-messages.md
+++ b/docs/protocols/anthropic-messages.md
@@ -229,6 +229,8 @@ The client preserves the response ID, model, and supported block order. Each emi
 
 `thinking_delta` does not say whether its text is raw reasoning or a summary. Molto classifies it using the explicit provider capability profile: Anthropic and OpenAI profiles use summaries, while vLLM uses raw reasoning. The endpoint or base URL does not select this behavior.
 
+When OpenRouter Responses is the upstream, its explicit raw/summary events already determine the normalized representation. Messages output preserves that distinction, including signatures for summaries. This exception applies to output projection only: incoming unsigned Messages thinking still follows the configured summary-input contract and rejects, so this route does not yet support a full raw-thinking Messages round trip.
+
 A thinking block that starts with text or a signature begins immediately so the observed snapshot cannot be lost. A completely empty thinking start is deferred until a non-empty thinking or signature delta establishes content. If the block stays empty, Molto omits it and assigns dense normalized indexes to the remaining blocks. Native `ping` events are ignored on this semantic path.
 
 Only the six handled raw events are inspected here; any other `RawMessageStreamEvent` variant is silently ignored rather than rejected. This matches the fact that `ping` is transport-only, but it diverges from `python/CONVENTIONS.md`'s "reject unsupported event types explicitly" rule and from the Responses client, which raises for unknown stream events. The silent-ignore is a documented current behavior, not a deliberate contract to rely on.
diff --git a/docs/protocols/openai-responses.md b/docs/protocols/openai-responses.md
index 635e34f..bc5fd94 100644
--- a/docs/protocols/openai-responses.md
+++ b/docs/protocols/openai-responses.md
@@ -255,7 +255,7 @@ Responses is explicit where Chat Completions and Messages are ambiguous:
 | `response.reasoning_summary_*`   | Summary in `Thinking.summary`           |
 | `encrypted_content`              | Opaque snapshot in `Thinking.signature` |
 
-Every explicit Responses event must agree with the selected provider capability profile. OpenAI is classified as summarized reasoning and vLLM as raw reasoning. A base URL never chooses this behavior.
+Explicit Responses events must agree with the selected client's reasoning policy. OpenAI is classified as summarized reasoning and vLLM as raw reasoning. OpenRouter's Responses client accepts either wire-labeled representation, preserving the distinction per item rather than assuming every routed model uses summaries. A base URL never chooses this behavior. See the [provider compatibility policy](../provider-compatibility.md#history-and-reasoning) for format restrictions and continuation limits.
 
 A Responses reasoning lifecycle must use exactly one valid representation:
 
diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index f11f3cc..2c5c996 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -2,6 +2,8 @@
 
 Provider selection, upstream protocol, destination, and model are independent. Choose `endpoint` explicitly when the provider exposes a different protocol from the public method. Molto does not infer capabilities from a hostname or silently switch endpoints. Configuration support is not certification of every hosted model.
 
+Every accepted provider/protocol combination selects its own client class through `molto.upstream.registry.CLIENTS`. Thin subclasses share the protocol implementation while giving each provider a consistent place for defaults and overrides. For example, `OpenRouterResponsesClient`, `OpenRouterChatCompletionsClient`, and `OpenRouterMessagesClient` are distinct clients. Explicit custom compatibility routes remain available; their registration does not claim that the provider hosts those endpoints.
+
 ## Destinations and credentials
 
 An explicit `api_key` overrides the configured provider key; an explicit empty key fails locally. Missing keys cannot fall back to OpenAI or Anthropic credentials. An explicit `base_url` overrides the destinations below. Caller authentication and account headers cannot override the selected upstream identity.
@@ -32,7 +34,9 @@ Native Messages content preserves explicitly supplied nullable SDK fields, inclu
 
 Translated input rejects two populated reasoning aliases. An empty string or empty array does not mask the populated alternate; an array containing an empty string remains populated. Ordered array entries become separate reasoning parts. When unsigned parts become a Chat string, their separator is a newline, including leading or trailing empty parts. The existing reasoning-before-text-before-calls history order remains enforced. Output streams finish active parts before starting subsequent text or reasoning; noncontiguous resumed calls reject explicitly.
 
-Together translates its documented `reasoning` dialect as unsigned raw reasoning. A model emitting `reasoning_content` remains native-compatible but is explicitly rejected on translated output rather than silently losing reasoning. The fresh Qwen capture below demonstrates this limitation. Fireworks Chat uses raw `reasoning_content`; its Responses and Messages profiles use summary semantics. Bedrock and OpenRouter use summary profiles. Native routes retain provider output; translated routes still reject signatures or summaries they cannot represent. No tag parsing or automatic model-specific dialect fallback is provided.
+Together translates its documented `reasoning` dialect as unsigned raw reasoning. A model emitting `reasoning_content` remains native-compatible but is explicitly rejected on translated output rather than silently losing reasoning. The fresh Qwen capture below demonstrates this limitation. Fireworks Chat uses raw `reasoning_content`; its Responses and Messages profiles use summary semantics. Bedrock and OpenRouter's ambiguous Chat/Messages reasoning use summary profiles. Native routes retain provider output; translated routes still reject signatures or summaries they cannot represent. No tag parsing or automatic model-specific dialect fallback is provided.
+
+OpenRouter Responses interprets explicit wire labels per reasoning item: unsigned raw text or a summary with its required signature. The recorded raw output's `format: "unknown"` is accepted; named formats and formatted signed/summary output reject. Mixed representations and mid-item representation changes reject. Raw reasoning translates to Chat or Messages; signed summaries can project to Messages. Incoming unsigned Messages thinking still rejects under the existing summary-input contract, so a raw Messages response cannot yet be resubmitted as translated Messages history on this route.
 
 Native Gemini history supports `extra_content.google` on messages, individual content parts, and function calls. The Google object is opaque, including tool-result `parts[].file_data`, signatures, and null values. Attachments are not moved or combined. Translated input/output containing populated Google state rejects explicitly. OpenRouter Responses reasoning `format` similarly survives native continuation and rejects unsupported translation.
 
@@ -50,7 +54,7 @@ The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/` a
 | Together, `meta-llama/Llama-3.3-70B-Instruct-Turbo`, Chat | HTTP 400 `model_not_available` | Original error body retained | Account cannot use this model as a serverless endpoint |
 | Gemini, `gemini-3.8-flash`, Chat | HTTP 400 location restriction | Native extension round trips, index repair/ambiguity, translation rejection, exact nested Google wire envelope (synthetic) | No successful live model conversation from this environment |
 | OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Chat | Text and parallel calls in both modes; non-streaming sequential tools | Exact native SDK output; streamed text/parallel histories replay; recorded non-streaming null reasoning rejects explicitly | Streamed sequential tools with reasoning disabled repeated the first call. Low reasoning exposed SDK corruption of `reasoning_details` metadata; the recorder stopped before continuation |
-| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Responses | Text in both modes; sequential tools non-streaming with reasoning disabled and streaming with low reasoning | Native manual-history SDK parity; first-turn translated replay for representable output | Streamed tools with reasoning disabled repeated the first call. Low reasoning contains raw text, which conflicts with the current summary profile and rejects on translation |
+| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Responses | Text in both modes; sequential tools non-streaming with reasoning disabled and streaming with low reasoning | Native manual-history SDK parity; raw-reasoning translation to both other protocols; three-turn normalized raw-reasoning/tool continuation | Streamed tools with reasoning disabled repeated the first call. Public translated Messages reasoning round trips remain unsupported because incoming unsigned thinking is ambiguous |
 | OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Messages | Text in both modes; sequential tools streaming with reasoning disabled and non-streaming with low reasoning | Native SDK output and exact actual-output history; first-turn translated streaming replay | Non-streaming tools with reasoning disabled repeated the first call. Other models, parallel Messages calls, and translated multi-turn histories unverified |
 | OpenRouter, `liquid/lfm-2.5-2.6b:free`, Chat | HTTP 400 in both modes when reasoning was disabled; low-reasoning attempts encountered HTTP 429 | Original HTTP 400 configuration errors retained | No complete conversation recorded. Both low-reasoning groups are withheld because their rate-limit bodies contain an account identifier |
 | Fireworks, Nemotron Lightning, Chat | Two-turn text, three-turn sequential tools, and two-turn parallel tools, each in both native modes with reasoning `none` and `low` | Native SDK output and actual-output continuation replay; narrow nullable history placeholders | Initial streams submitted SDK-invented null bookkeeping that Fireworks rejected. Those failed captures are retained; successful captures omit only bookkeeping absent from the wire. Other models and images untested |
@@ -64,4 +68,6 @@ The Fireworks model is `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
 
 OpenRouter captures use explicit free model IDs, disabled provider fallbacks, and zero prompt, completion, and request price limits. `openrouter-selection.json` retains the selected public catalog entries and their zero token prices. The public corpus has 19 groups and 40 HTTP exchanges: 13 complete conversations and six unsuccessful attempts. Two additional Liquid low-reasoning groups (three exchanges) remain outside the repository because the rate-limit responses contain an account identifier. Returned costs were zero wherever reported. Captures expose `Nvidia` as the backend on Chat and non-streaming Messages responses; no backend identity is inferred for responses that omit it. Responses uses full manual history with `store=false`; OpenRouter [documents its Responses API as stateless](https://openrouter.ai/docs/api_reference/responses/overview). Availability, free quotas, and model reasoning controls remain specific to these runs.
 
+`tests/upstream/test_multi_turn.py` exercises all 22 registered classes against canonical protocol fixtures, plus 11 recorded Fireworks/OpenRouter normalized conversations and an explicit Together dialect rejection. Recorded cases feed actual normalized output into subsequent requests and compare exact expected wire bodies and independent SDK semantics. Their expected request copies account for documented normalized representations and omitted nonsemantic metadata; original cassettes remain unchanged. This establishes upstream normalized continuation, distinct from full public cross-protocol conversation support.
+
 Synthetic SDK parity probes and replayed OpenAI/Anthropic fixtures establish local routing and serialization only. They do not turn an unrecorded provider cell into live support. Full issue #78 completion still requires the unknown provider cells, broader model-specific continuation evidence, and the separate Anthropic dependency.
diff --git a/python/ARCHITECTURE.md b/python/ARCHITECTURE.md
index 1fa5b8d..7232b9a 100644
--- a/python/ARCHITECTURE.md
+++ b/python/ARCHITECTURE.md
@@ -32,6 +32,8 @@ Any desired provider-specific endpoint default, forced switch, or override belon
 
 This defines ownership of any future routing policy; it does not introduce automatic endpoint switching. The current explicit-provider behavior described above remains unchanged.
 
+Every accepted `(provider, endpoint)` route has an explicit class in `upstream/registry.py`, including thin subclasses where the shared implementation is sufficient. `Molto` selects that class once per request. Provider classes own their default destination, required credential name, authentication scheme, and protocol-specific capability adjustments; the coordinator still resolves configured credentials and explicit overrides. Together's alternative protocols and Bedrock require an explicit destination. The existing cross-vendor configurations remain available through explicitly named compatibility clients; class registration does not certify a hosted endpoint.
+
 ## Architectural goal
 
 The long-term goal from `PLAN.md` remains valid: Molto should be a drop-in protocol and SDK compatibility layer without implementing a translator for every provider pair.
@@ -66,7 +68,7 @@ Downstream X protocol
 Downstream X events
 ```
 
-Each downstream protocol should require one adapter and each upstream protocol should require one client. Composition then grows approximately as N + M implementations instead of N x M pairwise translators.
+Each downstream protocol has one adapter, and each upstream protocol has a shared client implementation with provider-specific subclasses. The subclasses inherit transport and normalization unless a provider difference requires an override. Translation still composes adapters and clients instead of adding pairwise translators.
 
 The native protocol passthrough is an identity optimization to this model. When the two protocols are identical, crossing the IR would only reduce fidelity. Cross-protocol routes still compose adapters and clients through the normalized representation.
 
@@ -107,9 +109,9 @@ The layers have distinct ownership:
 | Layer | Owns | Must not own |
 | --- | --- | --- |
 | `core.py` (`Molto`) | Public orchestration facade, protocol coordinators, route selection, composition, credentials | Provider-specific field transformations |
-| `providers.py` | Provider names, endpoint defaults, and immutable capability profiles | Wire-protocol schemas or HTTP destinations |
+| `providers.py` | Provider names, default protocol-to-provider selection, credential configuration names, and immutable capability profiles | Wire-protocol schemas or HTTP destinations |
 | `adapters/` | Downstream native request to normalized request; normalized events to downstream-native events; projected native events to a complete downstream-native response | HTTP transport |
-| `upstream/` | Upstream request construction, provider SDK stream integration, compatibility validation where required, upstream response normalization | Downstream response formatting |
+| `upstream/` | Explicit provider/protocol client registry, destination/authentication defaults, upstream request construction, provider SDK stream integration, compatibility validation, and upstream response normalization | Downstream response formatting |
 | `types/normalized.py` | Provider-neutral request content, response parts, deltas, lifecycle metadata, and usage | Transport or SDK lifecycle objects |
 | `types/openai_*.py` | OpenAI request schemas, SDK-native result aliases, and narrow compatibility validators | Cross-protocol orchestration |
 
@@ -499,3 +501,5 @@ To add another downstream protocol, add an adapter that normalizes its request a
 Together's Chat subclass selects its documented `reasoning` dialect and recognizes provider-specific semantic errors. Gemini's Chat subclass repairs missing tool indices only with unambiguous identity; the generic normalizer rejects missing indices rather than silently discarding calls. Native history schemas have narrow Google attachment and OpenRouter reasoning-format extensions. Cross-protocol paths reject populated opaque state they cannot preserve.
 
 The native recording driver never invokes Molto translation. Reviewed original exchanges, historical matched fixtures, and synthetic probes have separate provenance; a supported serializer is not evidence of live model compatibility.
+
+`OpenRouterResponsesClient` resolves `responses_reasoning="wire"` without changing the provider's interpretation of ambiguous Chat or Messages reasoning. Its Responses events explicitly identify raw text or summaries, so the client accepts either valid representation, keeps each item's representation consistent across its lifecycle, and requires signatures for completed summaries. The observed `format="unknown"` is accepted on raw output; named formats and signed/summary items carrying a format remain unsupported. Native passthrough preserves all original fields. Downstream Chat accepts unsigned raw reasoning only; Messages can project either representation. Incoming unsigned Messages thinking still follows the existing summary-input contract and rejects, so this output support does not claim a complete Messages reasoning round trip.
diff --git a/python/CONVENTIONS.md b/python/CONVENTIONS.md
index 7640ada..831786d 100644
--- a/python/CONVENTIONS.md
+++ b/python/CONVENTIONS.md
@@ -28,7 +28,9 @@ Keep these three concepts separate:
 - `provider` identifies the serving implementation and selects its capability profile; and
 - `base_url` selects only the HTTP destination.
 
-Do not treat an endpoint or URL hostname as evidence about provider behavior. A coordinator may supply a documented canonical provider when the caller omits one, but an explicit provider must override that convenience default independently of the endpoint and base URL. Keep provider capabilities in the single `PROVIDER_CAPABILITIES` registry and pass the resolved profile explicitly to adapters and clients.
+Do not treat an endpoint or URL hostname as evidence about provider behavior. A coordinator may supply a documented canonical provider when the caller omits one, but an explicit provider must override that convenience default independently of the endpoint and base URL. Keep shared provider profiles in `PROVIDER_CAPABILITIES`; resolve protocol-specific adjustments through the selected client's `resolve_capabilities()` and pass that resolved profile explicitly to adapters and clients.
+
+Register an explicit class for every accepted provider/protocol combination, including thin subclasses for consistent selection and testing. Keep destination and authentication defaults on the provider client, while `Molto` resolves configured credentials and request overrides. Inherit common protocol behavior and override only the provider differences. A class for a custom compatibility route does not establish that the provider hosts that protocol.
 
 Keep upstream clients specific to one supported wire protocol; never switch or override endpoints inside a client. Any desired endpoint override belongs in `Molto`, before client selection and the native-versus-translated route decision. See [endpoint selection ownership](ARCHITECTURE.md#endpoint-selection-belongs-to-the-coordinator).
 
diff --git a/python/molto/adapters/anthropic.py b/python/molto/adapters/anthropic.py
index 0299adf..5f736ab 100644
--- a/python/molto/adapters/anthropic.py
+++ b/python/molto/adapters/anthropic.py
@@ -501,7 +501,9 @@ def event(data: dict[str, Any]) -> AnthropicMessagesStreamEvent:
                 # in the block instead of waiting for deltas that may not exist.
                 if isinstance(normalized_event.part, Thinking):
                     part = normalized_event.part
-                    if self._capabilities.thinking == "raw":
+                    if self._capabilities.thinking == "raw" or (
+                        self._capabilities.responses_reasoning == "wire" and part.content
+                    ):
                         if part.summary or part.signature:
                             raise ValueError(
                                 "A raw Anthropic thinking block cannot contain a summary "
@@ -557,7 +559,9 @@ def event(data: dict[str, Any]) -> AnthropicMessagesStreamEvent:
                     delta = normalized_event.delta
                     if normalized_event.index not in thinking_parts:
                         raise ValueError("Received a thinking delta before its block started.")
-                    if self._capabilities.thinking == "raw":
+                    if self._capabilities.thinking == "raw" or (
+                        self._capabilities.responses_reasoning == "wire" and delta.content_delta
+                    ):
                         if delta.summary_delta or delta.signature_delta:
                             raise ValueError(
                                 "A raw Anthropic thinking block cannot contain a summary "
@@ -634,7 +638,9 @@ def event(data: dict[str, Any]) -> AnthropicMessagesStreamEvent:
                     part = normalized_event.part
                     if normalized_event.index not in thinking_parts:
                         raise ValueError("Received a thinking end before its block started.")
-                    if self._capabilities.thinking == "raw":
+                    if self._capabilities.thinking == "raw" or (
+                        self._capabilities.responses_reasoning == "wire" and part.content
+                    ):
                         if part.summary or part.signature:
                             raise ValueError(
                                 "A raw Anthropic thinking block cannot contain a summary "
diff --git a/python/molto/adapters/openai.py b/python/molto/adapters/openai.py
index 59d4e94..a296659 100644
--- a/python/molto/adapters/openai.py
+++ b/python/molto/adapters/openai.py
@@ -1194,6 +1194,10 @@ async def _project_events(
         response_start: ResponseStartEvent | None = None
         initial_chunk_sent = False
         tool_indices: dict[int, int] = {}
+        raw_reasoning = (
+            self._capabilities.thinking == "raw"
+            or self._capabilities.responses_reasoning == "wire"
+        )
 
         def chunk(
             metadata: ResponseStartEvent | ResponseEndEvent,
@@ -1244,7 +1248,7 @@ def delta_chunk(
                     part = normalized_event.part
                     if part.signature:
                         raise ValueError("Chat Completions cannot preserve reasoning signatures.")
-                    if self._capabilities.thinking == "raw":
+                    if raw_reasoning:
                         if part.summary:
                             raise ValueError(
                                 "Raw Chat Completions reasoning cannot contain a summary."
@@ -1308,7 +1312,7 @@ def delta_chunk(
                     thinking_delta = normalized_event.delta
                     if thinking_delta.signature_delta:
                         raise ValueError("Chat Completions cannot preserve reasoning signatures.")
-                    if self._capabilities.thinking == "raw":
+                    if raw_reasoning:
                         if thinking_delta.summary_delta:
                             raise ValueError(
                                 "Raw Chat Completions reasoning cannot contain a summary."
@@ -1356,11 +1360,11 @@ def delta_chunk(
                     part = normalized_event.part
                     if part.signature:
                         raise ValueError("Chat Completions cannot preserve reasoning signatures.")
-                    if self._capabilities.thinking == "raw" and part.summary:
+                    if raw_reasoning and part.summary:
                         raise ValueError(
                             "Raw Chat Completions reasoning cannot contain a summary."
                         )
-                    if self._capabilities.thinking == "summary" and part.content:
+                    if not raw_reasoning and part.content:
                         raise ValueError(
                             "Summarized Chat Completions reasoning cannot contain raw text."
                         )
diff --git a/python/molto/core.py b/python/molto/core.py
index 856d353..1e11b29 100644
--- a/python/molto/core.py
+++ b/python/molto/core.py
@@ -1,5 +1,4 @@
 from collections.abc import AsyncIterator, Mapping
-from dataclasses import replace
 from typing import Any, Self
 
 from httpx import AsyncClient, Headers
@@ -10,7 +9,6 @@
 from molto.configs import ENV_CONFIG
 from molto.providers import (
     DEFAULT_PROVIDER_BY_ENDPOINT,
-    PROVIDER_BASE_URLS,
     PROVIDER_CAPABILITIES,
     PROVIDER_KEY_NAMES,
     Endpoint,
@@ -32,18 +30,10 @@
     OpenAIResponsesResponse,
     OpenAIResponsesStreamEvent,
 )
-from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.gemini import GeminiChatCompletionsClient
-from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
-from molto.upstream.together import TogetherAIChatCompletionsClient
+from molto.upstream.registry import CLIENTS
 
 VLLM_DUMMY_API_KEY = "EMPTY"
 
-_CHAT_CLIENTS = {
-    "togetherai": TogetherAIChatCompletionsClient,
-    "gemini": GeminiChatCompletionsClient,
-}
-
 _CREDENTIAL_HEADERS = frozenset(
     {
         "anthropic-api-key",
@@ -208,10 +198,10 @@ def _resolve_provider_options(
             )
         if provider == "bedrock" and not base_url:
             raise ValueError("Bedrock requires an explicit regional base_url and model/profile.")
-        capabilities = PROVIDER_CAPABILITIES[provider]
-        if provider == "fireworks" and endpoint == "chat/completions":
-            capabilities = replace(capabilities, thinking="raw")
-        return base_url or PROVIDER_BASE_URLS.get(provider, {}).get(endpoint), capabilities
+        capabilities = CLIENTS[provider, endpoint].resolve_capabilities(
+            PROVIDER_CAPABILITIES[provider]
+        )
+        return base_url, capabilities
 
     async def responses(
         self,
@@ -246,18 +236,16 @@ async def responses(
             resolved_provider, endpoint, base_url
         )
         upstream_headers = _upstream_headers(extra_headers)
+        upstream = CLIENTS[resolved_provider, endpoint](
+            self._http_client,
+            api_key=resolved_api_key,
+            base_url=base_url,
+            capabilities=capabilities,
+            extra_body=extra_body,
+            extra_headers=upstream_headers,
+        )
 
         if endpoint == "responses":
-            upstream = OpenAIResponsesClient(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
             adapter = OpenAIResponsesAdapter(capabilities)
             if request.stream is True:
                 return await _prefetch_stream(
@@ -268,30 +256,6 @@ async def responses(
 
         adapter = OpenAIResponsesAdapter(capabilities)
         normalized_request = adapter.normalize_request(request)
-        if endpoint == "chat/completions":
-            upstream = _CHAT_CLIENTS.get(resolved_provider, OpenAIChatCompletionsClient)(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
-        elif endpoint == "messages":
-            upstream = AnthropicMessagesClient(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
-        else:
-            raise ValueError(f"Unsupported endpoint: {endpoint!r}.")
         projected_events = adapter.project_events(
             upstream.events(normalized_request.model_copy(update={"stream": True})),
             normalized_request,
@@ -323,17 +287,15 @@ async def chat_completions(
             resolved_provider, endpoint, base_url
         )
         upstream_headers = _upstream_headers(extra_headers)
+        upstream = CLIENTS[resolved_provider, endpoint](
+            self._http_client,
+            api_key=resolved_api_key,
+            base_url=base_url,
+            capabilities=capabilities,
+            extra_body=extra_body,
+            extra_headers=upstream_headers,
+        )
         if endpoint == "chat/completions":
-            upstream = _CHAT_CLIENTS.get(resolved_provider, OpenAIChatCompletionsClient)(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
             adapter = OpenAIChatCompletionsAdapter(capabilities)
             if request.stream is True:
                 return await _prefetch_stream(
@@ -344,30 +306,6 @@ async def chat_completions(
 
         adapter = OpenAIChatCompletionsAdapter(capabilities)
         normalized_request = adapter.normalize_request(request)
-        if endpoint == "responses":
-            upstream = OpenAIResponsesClient(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
-        elif endpoint == "messages":
-            upstream = AnthropicMessagesClient(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
-        else:
-            raise ValueError(f"Unsupported endpoint: {endpoint!r}.")
         projected_events = adapter.project_events(
             upstream.events(normalized_request.model_copy(update={"stream": True})),
             normalized_request,
@@ -399,17 +337,15 @@ async def messages(
             resolved_provider, endpoint, base_url
         )
         upstream_headers = _upstream_headers(extra_headers)
+        upstream = CLIENTS[resolved_provider, endpoint](
+            self._http_client,
+            api_key=resolved_api_key,
+            base_url=base_url,
+            capabilities=capabilities,
+            extra_body=extra_body,
+            extra_headers=upstream_headers,
+        )
         if endpoint == "messages":
-            upstream = AnthropicMessagesClient(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
             adapter = AnthropicMessagesAdapter(capabilities)
             if request.stream is True:
                 return await _prefetch_stream(
@@ -420,30 +356,6 @@ async def messages(
 
         adapter = AnthropicMessagesAdapter(capabilities)
         normalized_request = adapter.normalize_request(request)
-        if endpoint == "responses":
-            upstream = OpenAIResponsesClient(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
-        elif endpoint == "chat/completions":
-            upstream = _CHAT_CLIENTS.get(resolved_provider, OpenAIChatCompletionsClient)(
-                self._http_client,
-                api_key=resolved_api_key,
-                required_api_key=PROVIDER_KEY_NAMES.get(resolved_provider),
-                bearer_auth=resolved_provider in ("bedrock", "openrouter"),
-                base_url=base_url,
-                capabilities=capabilities,
-                extra_body=extra_body,
-                extra_headers=upstream_headers,
-            )
-        else:
-            raise ValueError(f"Unsupported endpoint: {endpoint!r}.")
         projected_events = adapter.project_events(
             upstream.events(normalized_request.model_copy(update={"stream": True})),
             normalized_request,
diff --git a/python/molto/providers.py b/python/molto/providers.py
index 5366f58..9af8afd 100644
--- a/python/molto/providers.py
+++ b/python/molto/providers.py
@@ -11,6 +11,9 @@
 @dataclass(frozen=True)
 class ProviderCapabilities:
     thinking: ReasoningRepresentation
+    # Only the resolved Responses client can opt into explicit wire labels;
+    # ambiguous Chat/Messages input still uses `thinking`.
+    responses_reasoning: Literal["profile", "wire"] = "profile"
 
 
 PROVIDER_CAPABILITIES: dict[Provider, ProviderCapabilities] = {
@@ -24,20 +27,6 @@ class ProviderCapabilities:
     "vllm": ProviderCapabilities(thinking="raw"),
 }
 
-# These destinations select transport only; they do not certify model support.
-PROVIDER_BASE_URLS: dict[str, dict[Endpoint, str]] = {
-    "fireworks": {
-        "responses": "https://api.fireworks.ai/inference/v1",
-        "chat/completions": "https://api.fireworks.ai/inference/v1",
-        "messages": "https://api.fireworks.ai/inference",
-    },
-    "openrouter": {
-        "responses": "https://openrouter.ai/api/v1",
-        "chat/completions": "https://openrouter.ai/api/v1",
-        "messages": "https://openrouter.ai/api",
-    },
-}
-
 PROVIDER_KEY_NAMES = {
     "bedrock": "AWS_BEARER_TOKEN_BEDROCK",
     "fireworks": "FIREWORKS_API_KEY",
diff --git a/python/molto/upstream/base.py b/python/molto/upstream/base.py
index 622e620..d5d3024 100644
--- a/python/molto/upstream/base.py
+++ b/python/molto/upstream/base.py
@@ -22,6 +22,14 @@ class BaseClient[
     NativeResponseT: BaseModel,
 ](ABC):
     DEFAULT_BASE_URL: str
+    REQUIRED_API_KEY: str | None = None
+    BEARER_AUTH = False
+    REQUIRES_BASE_URL = False
+
+    @classmethod
+    def resolve_capabilities(cls, capabilities: ProviderCapabilities) -> ProviderCapabilities:
+        """Apply protocol-specific provider policy to the shared provider profile."""
+        return capabilities
 
     def __init__(
         self,
@@ -33,16 +41,18 @@ def __init__(
         extra_body: Mapping[str, Any] | None = None,
         extra_headers: Mapping[str, str] | None = None,
         required_api_key: str | None = None,
-        bearer_auth: bool = False,
+        bearer_auth: bool | None = None,
     ) -> None:
+        if self.REQUIRES_BASE_URL and not base_url:
+            raise ValueError(f"{type(self).__name__} requires an explicit base_url.")
         self._http_client = http_client
         self._api_key = api_key
         self._base_url = base_url
-        self._capabilities = capabilities
+        self._capabilities = self.resolve_capabilities(capabilities)
         self._extra_body = extra_body
         self._extra_headers = extra_headers
-        self._required_api_key = required_api_key
-        self._bearer_auth = bearer_auth
+        self._required_api_key = required_api_key or self.REQUIRED_API_KEY
+        self._bearer_auth = self.BEARER_AUTH if bearer_auth is None else bearer_auth
         self.response_headers = Headers()
 
     def _capture_response_headers(self, headers: Headers) -> None:
diff --git a/python/molto/upstream/bedrock.py b/python/molto/upstream/bedrock.py
new file mode 100644
index 0000000..adf9c3d
--- /dev/null
+++ b/python/molto/upstream/bedrock.py
@@ -0,0 +1,20 @@
+"""Bedrock API-key clients; callers supply the regional protocol destination."""
+
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+
+
+class BedrockResponsesClient(OpenAIResponsesClient):
+    REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
+    REQUIRES_BASE_URL = True
+
+
+class BedrockChatCompletionsClient(OpenAIChatCompletionsClient):
+    REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
+    REQUIRES_BASE_URL = True
+
+
+class BedrockMessagesClient(AnthropicMessagesClient):
+    REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
+    REQUIRES_BASE_URL = True
+    BEARER_AUTH = True
diff --git a/python/molto/upstream/compatible.py b/python/molto/upstream/compatible.py
new file mode 100644
index 0000000..0125359
--- /dev/null
+++ b/python/molto/upstream/compatible.py
@@ -0,0 +1,20 @@
+"""Explicit identities for existing cross-vendor protocol configurations.
+
+These classes preserve configurable routes, not claims that a vendor hosts a
+particular endpoint. Keeping them together avoids circular canonical imports.
+"""
+
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+
+
+class OpenAIMessagesClient(AnthropicMessagesClient):
+    """Messages wire implementation with the OpenAI provider profile."""
+
+
+class AnthropicResponsesClient(OpenAIResponsesClient):
+    """Responses wire implementation with the Anthropic provider profile."""
+
+
+class AnthropicChatCompletionsClient(OpenAIChatCompletionsClient):
+    """Chat Completions wire implementation with the Anthropic provider profile."""
diff --git a/python/molto/upstream/fireworks.py b/python/molto/upstream/fireworks.py
new file mode 100644
index 0000000..4456b6a
--- /dev/null
+++ b/python/molto/upstream/fireworks.py
@@ -0,0 +1,26 @@
+"""Fireworks clients for each explicitly selected upstream protocol."""
+
+from dataclasses import replace
+
+from molto.providers import ProviderCapabilities
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+
+
+class FireworksResponsesClient(OpenAIResponsesClient):
+    DEFAULT_BASE_URL = "https://api.fireworks.ai/inference/v1"
+    REQUIRED_API_KEY = "FIREWORKS_API_KEY"
+
+
+class FireworksChatCompletionsClient(OpenAIChatCompletionsClient):
+    DEFAULT_BASE_URL = "https://api.fireworks.ai/inference/v1"
+    REQUIRED_API_KEY = "FIREWORKS_API_KEY"
+
+    @classmethod
+    def resolve_capabilities(cls, capabilities: ProviderCapabilities) -> ProviderCapabilities:
+        return replace(capabilities, thinking="raw")
+
+
+class FireworksMessagesClient(AnthropicMessagesClient):
+    DEFAULT_BASE_URL = "https://api.fireworks.ai/inference"
+    REQUIRED_API_KEY = "FIREWORKS_API_KEY"
diff --git a/python/molto/upstream/gemini.py b/python/molto/upstream/gemini.py
index 8c6e563..a8421cb 100644
--- a/python/molto/upstream/gemini.py
+++ b/python/molto/upstream/gemini.py
@@ -21,6 +21,7 @@ def _register_call(calls: dict[int, str | None], index: int, call_id: str | None
 
 class GeminiChatCompletionsClient(OpenAIChatCompletionsClient):
     DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai"
+    REQUIRED_API_KEY = "GEMINI_API_KEY"
 
     async def native_events(
         self, request: OpenAIChatCompletionsCreateRequest
diff --git a/python/molto/upstream/openai.py b/python/molto/upstream/openai.py
index efa93ab..ffe20d5 100644
--- a/python/molto/upstream/openai.py
+++ b/python/molto/upstream/openai.py
@@ -160,8 +160,6 @@ def _function_call_part(item: Any) -> ToolCall:
 
 def _reasoning_part(item: Any) -> Thinking:
     """Project a Responses reasoning item snapshot into a normalized part."""
-    if getattr(item, "format", None) is not None:
-        raise ValueError("Responses reasoning format cannot be translated.")
     return Thinking(
         content="".join(part.text for part in item.content or [] if part.type == "reasoning_text"),
         summary="".join(part.text for part in item.summary if part.type == "summary_text"),
@@ -185,10 +183,8 @@ def _validate_responses_reasoning_capability(
         raise ValueError("Summarized Responses reasoning cannot contain raw text.")
 
 
-def _started_output_item(item: Any) -> Thinking | TextOutput | ToolCall:
+def _started_output_item(item: Any) -> TextOutput | ToolCall:
     """Project a just-added Responses output item into its initial normalized part."""
-    if item.type == "reasoning":
-        return _reasoning_part(item)
     if item.type == "message":
         return TextOutput(content="", id=item.id)
     if item.type == "function_call":
@@ -197,10 +193,8 @@ def _started_output_item(item: Any) -> Thinking | TextOutput | ToolCall:
     raise ValueError(f"Unsupported Responses output item: {item.type}")
 
 
-def _completed_output_item(item: Any) -> Thinking | TextOutput | ToolCall:
+def _completed_output_item(item: Any) -> TextOutput | ToolCall:
     """Project a completed Responses output item into its normalized part."""
-    if item.type == "reasoning":
-        return _validate_completed_responses_reasoning(_reasoning_part(item))
     if item.type == "message":
         return TextOutput(
             content="".join(part.text for part in item.content if part.type == "output_text"),
@@ -283,6 +277,14 @@ class OpenAIResponsesClient(
 
     DEFAULT_BASE_URL = "https://api.openai.com/v1"
 
+    def _reasoning_part(self, item: Any) -> Thinking:
+        if getattr(item, "format", None) is not None:
+            raise ValueError("Responses reasoning format cannot be translated.")
+        return _reasoning_part(item)
+
+    def _validate_reasoning(self, part: Thinking) -> None:
+        _validate_responses_reasoning_capability(part, self._capabilities.thinking)
+
     async def native_events(
         self, request: OpenAIResponsesCreateRequest
     ) -> AsyncIterator[ResponseStreamEvent]:
@@ -532,6 +534,21 @@ async def _events(self, request: NormalizedRequest) -> AsyncIterator[ModelRespon
         # Source output indices map to dense normalized indices so an omitted
         # reasoning item cannot leave a gap for downstream projections.
         part_indices: dict[int, int] = {}
+        reasoning_representations: dict[int, str] = {}
+
+        def validate_reasoning(source_index: int, part: Thinking) -> None:
+            self._validate_reasoning(part)
+            if self._capabilities.responses_reasoning != "wire":
+                return
+            representation = (
+                "raw" if part.content else "summary" if part.summary or part.signature else None
+            )
+            if representation is not None:
+                previous = reasoning_representations.setdefault(source_index, representation)
+                if previous != representation:
+                    raise ValueError(
+                        "A Responses reasoning item cannot mix raw text with a summary or signature."
+                    )
 
         def start_part(
             source_index: int, part: Thinking | TextOutput | ToolCall
@@ -557,9 +574,13 @@ def part_index(source_index: int) -> int:
                         service_tier=metadata.service_tier,
                     )
                 elif event_type == "response.output_item.added":
-                    part = _started_output_item(event.item)
+                    part = (
+                        self._reasoning_part(event.item)
+                        if event.item.type == "reasoning"
+                        else _started_output_item(event.item)
+                    )
                     if isinstance(part, Thinking):
-                        _validate_responses_reasoning_capability(part, self._capabilities.thinking)
+                        validate_reasoning(event.output_index, part)
                     if (
                         isinstance(part, Thinking)
                         and not part.content
@@ -570,8 +591,9 @@ def part_index(source_index: int) -> int:
                     else:
                         yield start_part(event.output_index, part)
                 elif event_type == "response.reasoning_text.delta":
-                    if self._capabilities.thinking != "raw" and event.delta:
-                        raise ValueError("Summarized Responses reasoning cannot contain raw text.")
+                    validate_reasoning(
+                        event.output_index, Thinking(content=event.delta, summary="")
+                    )
                     # An empty delta must not materialize a deferred reasoning part.
                     if not event.delta and event.output_index in pending_reasoning:
                         continue
@@ -582,8 +604,9 @@ def part_index(source_index: int) -> int:
                         delta=ThinkingDelta(content_delta=event.delta),
                     )
                 elif event_type == "response.reasoning_summary_text.delta":
-                    if self._capabilities.thinking != "summary" and event.delta:
-                        raise ValueError("Raw Responses reasoning cannot contain a summary.")
+                    validate_reasoning(
+                        event.output_index, Thinking(content="", summary=event.delta)
+                    )
                     # An empty delta must not materialize a deferred reasoning part.
                     if not event.delta and event.output_index in pending_reasoning:
                         continue
@@ -598,10 +621,9 @@ def part_index(source_index: int) -> int:
                     # lifecycle echoes and must not materialize a deferred part.
                     added_part = event.part
                     if added_part.type == "reasoning_text" and added_part.text:
-                        if self._capabilities.thinking != "raw":
-                            raise ValueError(
-                                "Summarized Responses reasoning cannot contain raw text."
-                            )
+                        validate_reasoning(
+                            event.output_index, Thinking(content=added_part.text, summary="")
+                        )
                         if (start := pending_reasoning.pop(event.output_index, None)) is not None:
                             yield start_part(event.output_index, start)
                         yield PartDeltaEvent(
@@ -616,8 +638,9 @@ def part_index(source_index: int) -> int:
                 elif event_type == "response.reasoning_summary_part.added":
                     added_part = event.part
                     if added_part.type == "summary_text" and added_part.text:
-                        if self._capabilities.thinking != "summary":
-                            raise ValueError("Raw Responses reasoning cannot contain a summary.")
+                        validate_reasoning(
+                            event.output_index, Thinking(content="", summary=added_part.text)
+                        )
                         if (start := pending_reasoning.pop(event.output_index, None)) is not None:
                             yield start_part(event.output_index, start)
                         yield PartDeltaEvent(
@@ -636,9 +659,13 @@ def part_index(source_index: int) -> int:
                     )
                 elif event_type == "response.output_item.done":
                     start = pending_reasoning.pop(event.output_index, None)
-                    part = _completed_output_item(event.item)
+                    part = (
+                        _validate_completed_responses_reasoning(self._reasoning_part(event.item))
+                        if event.item.type == "reasoning"
+                        else _completed_output_item(event.item)
+                    )
                     if isinstance(part, Thinking):
-                        _validate_responses_reasoning_capability(part, self._capabilities.thinking)
+                        validate_reasoning(event.output_index, part)
                         # Deferred items always start empty, so the part is omitted
                         # when it also completes without content or state.
                         if (
diff --git a/python/molto/upstream/openrouter.py b/python/molto/upstream/openrouter.py
new file mode 100644
index 0000000..c3c3de8
--- /dev/null
+++ b/python/molto/upstream/openrouter.py
@@ -0,0 +1,47 @@
+"""OpenRouter transports with protocol-specific reasoning interpretation."""
+
+from dataclasses import replace
+from typing import Any
+
+from molto.providers import ProviderCapabilities
+from molto.types.normalized import Thinking
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.openai import (
+    OpenAIChatCompletionsClient,
+    OpenAIResponsesClient,
+    _reasoning_part,
+)
+
+
+class OpenRouterChatCompletionsClient(OpenAIChatCompletionsClient):
+    DEFAULT_BASE_URL = "https://openrouter.ai/api/v1"
+    REQUIRED_API_KEY = "OPENROUTER_API_KEY"
+
+
+class OpenRouterMessagesClient(AnthropicMessagesClient):
+    DEFAULT_BASE_URL = "https://openrouter.ai/api"
+    REQUIRED_API_KEY = "OPENROUTER_API_KEY"
+    BEARER_AUTH = True
+
+
+class OpenRouterResponsesClient(OpenAIResponsesClient):
+    DEFAULT_BASE_URL = "https://openrouter.ai/api/v1"
+    REQUIRED_API_KEY = "OPENROUTER_API_KEY"
+
+    @classmethod
+    def resolve_capabilities(cls, profile: ProviderCapabilities) -> ProviderCapabilities:
+        return replace(profile, responses_reasoning="wire")
+
+    def _reasoning_part(self, item: Any) -> Thinking:
+        part = _reasoning_part(item)
+        format = getattr(item, "format", None)
+        # OpenRouter labels raw text with "unknown" rather than an opaque encoding.
+        # Signed/summary formats still require an explicit translation contract.
+        if format is not None and (format != "unknown" or part.summary or part.signature):
+            raise ValueError("Responses reasoning format cannot be translated.")
+        return part
+
+    def _validate_reasoning(self, part: Thinking) -> None:
+        # Responses already distinguishes raw text from summaries. Thinking owns
+        # mixed-representation validation; completion requires signed summaries.
+        pass
diff --git a/python/molto/upstream/registry.py b/python/molto/upstream/registry.py
new file mode 100644
index 0000000..c34b9e8
--- /dev/null
+++ b/python/molto/upstream/registry.py
@@ -0,0 +1,58 @@
+"""Explicit client selection for every accepted provider/protocol combination."""
+
+from molto.providers import Endpoint, Provider
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.base import BaseClient
+from molto.upstream.bedrock import (
+    BedrockChatCompletionsClient,
+    BedrockMessagesClient,
+    BedrockResponsesClient,
+)
+from molto.upstream.compatible import (
+    AnthropicChatCompletionsClient,
+    AnthropicResponsesClient,
+    OpenAIMessagesClient,
+)
+from molto.upstream.fireworks import (
+    FireworksChatCompletionsClient,
+    FireworksMessagesClient,
+    FireworksResponsesClient,
+)
+from molto.upstream.gemini import GeminiChatCompletionsClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+from molto.upstream.openrouter import (
+    OpenRouterChatCompletionsClient,
+    OpenRouterMessagesClient,
+    OpenRouterResponsesClient,
+)
+from molto.upstream.together import (
+    TogetherAIChatCompletionsClient,
+    TogetherAIMessagesClient,
+    TogetherAIResponsesClient,
+)
+from molto.upstream.vllm import VLLMChatCompletionsClient, VLLMMessagesClient, VLLMResponsesClient
+
+CLIENTS: dict[tuple[Provider, Endpoint], type[BaseClient]] = {
+    ("openai", "responses"): OpenAIResponsesClient,
+    ("openai", "chat/completions"): OpenAIChatCompletionsClient,
+    ("openai", "messages"): OpenAIMessagesClient,
+    ("anthropic", "responses"): AnthropicResponsesClient,
+    ("anthropic", "chat/completions"): AnthropicChatCompletionsClient,
+    ("anthropic", "messages"): AnthropicMessagesClient,
+    ("vllm", "responses"): VLLMResponsesClient,
+    ("vllm", "chat/completions"): VLLMChatCompletionsClient,
+    ("vllm", "messages"): VLLMMessagesClient,
+    ("bedrock", "responses"): BedrockResponsesClient,
+    ("bedrock", "chat/completions"): BedrockChatCompletionsClient,
+    ("bedrock", "messages"): BedrockMessagesClient,
+    ("fireworks", "responses"): FireworksResponsesClient,
+    ("fireworks", "chat/completions"): FireworksChatCompletionsClient,
+    ("fireworks", "messages"): FireworksMessagesClient,
+    ("openrouter", "responses"): OpenRouterResponsesClient,
+    ("openrouter", "chat/completions"): OpenRouterChatCompletionsClient,
+    ("openrouter", "messages"): OpenRouterMessagesClient,
+    ("togetherai", "responses"): TogetherAIResponsesClient,
+    ("togetherai", "chat/completions"): TogetherAIChatCompletionsClient,
+    ("togetherai", "messages"): TogetherAIMessagesClient,
+    ("gemini", "chat/completions"): GeminiChatCompletionsClient,
+}
diff --git a/python/molto/upstream/together.py b/python/molto/upstream/together.py
index 0fbc4f0..0fc6c6a 100644
--- a/python/molto/upstream/together.py
+++ b/python/molto/upstream/together.py
@@ -2,21 +2,17 @@
 
 from typing import NoReturn
 
-from openai import APIStatusError, AsyncOpenAI, BadRequestError, OpenAIError
+from openai import APIStatusError, BadRequestError
 
 from molto.types.exceptions import ContextLengthExceededError, ModelNotFoundError
-from molto.upstream.openai import OpenAIChatCompletionsClient
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 
 
 class TogetherAIChatCompletionsClient(OpenAIChatCompletionsClient):
     DEFAULT_BASE_URL = "https://api.together.ai/v1"
     REASONING_FIELD = "reasoning"
-
-    def _make_sdk_client(self) -> AsyncOpenAI:
-        # The OpenAI SDK otherwise falls back to its own environment credentials.
-        if not self._api_key:
-            raise OpenAIError("Missing credentials. Set TOGETHER_AI_API_KEY or pass api_key.")
-        return super()._make_sdk_client()
+    REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
 
     def _handle_error(self, error: Exception) -> NoReturn:
         if isinstance(error, BadRequestError) and (
@@ -30,3 +26,17 @@ def _handle_error(self, error: Exception) -> NoReturn:
                 error.message, response=error.response, body=error.body
             ) from error
         super()._handle_error(error)
+
+
+class TogetherAIResponsesClient(OpenAIResponsesClient):
+    """Explicit custom Responses destination; no hosted Together endpoint is assumed."""
+
+    REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
+    REQUIRES_BASE_URL = True
+
+
+class TogetherAIMessagesClient(AnthropicMessagesClient):
+    """Explicit custom Messages destination; no hosted Together endpoint is assumed."""
+
+    REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
+    REQUIRES_BASE_URL = True
diff --git a/python/molto/upstream/vllm.py b/python/molto/upstream/vllm.py
new file mode 100644
index 0000000..ff131af
--- /dev/null
+++ b/python/molto/upstream/vllm.py
@@ -0,0 +1,16 @@
+"""vLLM protocol clients sharing the canonical wire implementations."""
+
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+
+
+class VLLMResponsesClient(OpenAIResponsesClient):
+    """vLLM Responses transport and normalization."""
+
+
+class VLLMChatCompletionsClient(OpenAIChatCompletionsClient):
+    """vLLM Chat Completions transport and normalization."""
+
+
+class VLLMMessagesClient(AnthropicMessagesClient):
+    """vLLM Messages transport and normalization."""
diff --git a/tests/adapters/test_anthropic.py b/tests/adapters/test_anthropic.py
index 6182f0c..7c8eeb4 100644
--- a/tests/adapters/test_anthropic.py
+++ b/tests/adapters/test_anthropic.py
@@ -60,7 +60,9 @@ def _normalize(request: AnthropicMessagesCreateRequest, capabilities: ProviderCa
     return AnthropicMessagesAdapter(capabilities).normalize_request(request)
 
 
-def test_normalization_rejects_unsigned_summary_history() -> None:
+@pytest.mark.parametrize("responses_reasoning", ["profile", "wire"])
+def test_normalization_rejects_unsigned_summary_history(responses_reasoning) -> None:
+    """Ensures explicit Responses output policy never reclassifies ambiguous Messages input."""
     request = _request(
         messages=[
             {
@@ -71,7 +73,10 @@ def test_normalization_rejects_unsigned_summary_history() -> None:
     )
 
     with pytest.raises(UnsupportedInput, match="summary requires a signature"):
-        _normalize(request, _CAPABILITIES)
+        _normalize(
+            request,
+            ProviderCapabilities(thinking="summary", responses_reasoning=responses_reasoning),
+        )
 
 
 @pytest.mark.parametrize(
@@ -524,8 +529,12 @@ async def test_projection_skips_empty_thinking_delta() -> None:
     assert [event.type for event in events] == ["message_start", "content_block_start"]
 
 
-async def test_projection_supports_official_empty_summary_start() -> None:
-    adapter, request = _adapter()
+@pytest.mark.parametrize("responses_reasoning", ["profile", "wire"])
+async def test_projection_supports_official_empty_summary_start(responses_reasoning) -> None:
+    """Ensures signed summaries preserve their text and signature under both output policies."""
+    adapter, request = _adapter(
+        ProviderCapabilities(thinking="summary", responses_reasoning=responses_reasoning)
+    )
 
     events = [
         event
@@ -567,8 +576,12 @@ async def test_projection_rejects_reasoning_outside_capability() -> None:
         ]
 
 
-async def test_projection_rejects_unsigned_summary_completion() -> None:
-    adapter, request = _adapter()
+@pytest.mark.parametrize("responses_reasoning", ["profile", "wire"])
+async def test_projection_rejects_unsigned_summary_completion(responses_reasoning) -> None:
+    """Ensures wire-labeled reasoning still requires a signature for completed summaries."""
+    adapter, request = _adapter(
+        ProviderCapabilities(thinking="summary", responses_reasoning=responses_reasoning)
+    )
 
     with pytest.raises(ValueError, match="summary requires a signature"):
         [
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index aa13f01..41f5fcb 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -16,6 +16,8 @@ Treat these files as provider evidence. Do not edit a recorded value merely to m
 
 `upstream_ir/{scenario}/{provider}-{endpoint}-stream-{turn}.yaml` contains independent, unchanged provider recordings for `tests/upstream/test_multi_turn.py`. The scenarios are two-turn `text_chat`, `text_image_chat`, and `consecutive_user_text`, plus three-turn `tool_use` and `tool_use_reasoning`. Text, multimodal input, consecutive user messages, and tool use cover all three upstream clients; reasoning tool use covers Responses and Messages.
 
+The upstream multi-turn suite replays these canonical recordings against every registered provider client class as a shared protocol-contract check, using an explicit test destination. Reusing an OpenAI or Anthropic fixture does not establish live support for another provider. Separate cases replay 11 original Fireworks/OpenRouter conversation groups from `provider_recordings/2026-11-04/`, feeding actual normalized output into the next request and comparing independent SDK semantics. Expected request copies account only for normalized wire representations, optional output metadata, and the accepted OpenRouter raw `format: "unknown"`; the original recorded bodies remain unchanged. Together's observed alternative reasoning dialect has an explicit normalized-output rejection case.
+
 `text_image_chat` sends text, an image, and trailing text in one user message on each turn, using the existing `tests/files/github.png` and `tests/files/xlsx.jpg` fixtures as data URLs. `consecutive_user_text` sends two adjacent user messages, each with two text parts, before each assistant response. Both scenarios retain actual assistant output as history and assert that the input IR is not mutated. They also inspect outgoing message roles and content grouping independently of cassette equality, so the expected fixtures cannot silently permit merged user messages or split multimodal parts. These are upstream-client projection checks; incoming request normalization remains covered by the adapter tests.
 
 These requests were recorded outside pytest through `scripts/recorder_proxy.py`, forwarding to the official OpenAI and Anthropic APIs. A standalone driver used `httpx.ASGITransport(app=recorder_proxy.app)` to call the recording proxy in process; the proxy's HTTP client performed the live requests. Each response's completed IR parts became assistant history for the next request. Tool results referenced the returned call IDs, and reasoning continuations retained the returned opaque state. The proxy files were renamed without changing their bytes. Authorization is masked, and Anthropic API-key headers are excluded by the recorder's header whitelist.
diff --git a/tests/core/test_recorded_provider_conversations.py b/tests/core/test_recorded_provider_conversations.py
index ff2b8b2..dacaf44 100644
--- a/tests/core/test_recorded_provider_conversations.py
+++ b/tests/core/test_recorded_provider_conversations.py
@@ -404,16 +404,6 @@ def handler(request):
         for item in reference.output
     ):
         rejection = "A Responses reasoning summary requires a signature."
-    if (
-        upstream == "responses"
-        and manifest["provider"] == "openrouter"
-        and any(
-            item.type == "reasoning"
-            and any(part.type == "reasoning_text" and part.text for part in item.content or [])
-            for item in reference.output
-        )
-    ):
-        rejection = "Summarized Responses reasoning cannot contain raw text."
     transport = httpx.AsyncClient(transport=httpx.MockTransport(handler))
     with pytest.raises(ValueError, match=rejection) if rejection else nullcontext():
         async with Molto(http_client=transport) as molto:
diff --git a/tests/test_provider_clients.py b/tests/test_provider_clients.py
new file mode 100644
index 0000000..52523f4
--- /dev/null
+++ b/tests/test_provider_clients.py
@@ -0,0 +1,235 @@
+"""Provider/protocol selection and credential boundaries, exercised without live requests."""
+
+from copy import deepcopy
+
+import httpx
+import pytest
+from anthropic import AsyncAnthropic
+from openai import AsyncOpenAI, OpenAIError
+from pydantic import SecretStr
+
+from molto import Molto
+from molto.configs import ENV_CONFIG
+from molto.providers import PROVIDER_CAPABILITIES
+from molto.types.anthropic_messages import AnthropicMessagesCreateRequest
+from molto.types.openai_chat_completions import OpenAIChatCompletionsCreateRequest
+from molto.types.openai_responses import OpenAIResponsesCreateRequest
+from molto.upstream.base import BaseClient
+from molto.utils.io import json_loads
+from tests.test_hosted_providers import DESTINATIONS, cassette, response
+
+PROVIDERS = {
+    "anthropic": ("Anthropic", "anthropic_api_key"),
+    "bedrock": ("Bedrock", "aws_bearer_token_bedrock"),
+    "fireworks": ("Fireworks", "fireworks_api_key"),
+    "gemini": ("Gemini", "gemini_api_key"),
+    "openai": ("OpenAI", "openai_api_key"),
+    "openrouter": ("OpenRouter", "openrouter_api_key"),
+    "togetherai": ("TogetherAI", "together_ai_api_key"),
+    "vllm": ("VLLM", None),
+}
+PROTOCOLS = {
+    "responses": ("Responses", "/responses"),
+    "chat/completions": ("ChatCompletions", "/chat/completions"),
+    "messages": ("Messages", "/v1/messages"),
+}
+ROUTES = [
+    (provider, endpoint)
+    for provider in PROVIDERS
+    for endpoint in PROTOCOLS
+    if provider != "gemini" or endpoint == "chat/completions"
+]
+REQUEST_TYPES = {
+    "responses": OpenAIResponsesCreateRequest,
+    "chat/completions": OpenAIChatCompletionsCreateRequest,
+    "messages": AnthropicMessagesCreateRequest,
+}
+HOSTED_ROUTES = [route for route in ROUTES if route[0] not in {"openai", "anthropic", "vllm"}]
+EXPLICIT_DESTINATIONS = [("bedrock", endpoint) for endpoint in PROTOCOLS] + [
+    ("togetherai", "responses"),
+    ("togetherai", "messages"),
+]
+
+
+@pytest.mark.parametrize(("provider", "endpoint"), ROUTES)
+async def test_provider_protocol_selection_preserves_native_contract(
+    provider, endpoint, monkeypatch
+):
+    """Ensures every existing route selects its provider class and preserves URL, key, and SDK output."""
+    prefix, setting = PROVIDERS[provider]
+    suffix, path = PROTOCOLS[endpoint]
+    key = "configured-provider-key" if setting else "EMPTY"
+    if setting:
+        monkeypatch.setattr(ENV_CONFIG, setting, SecretStr(key))
+    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-openai-key")
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-anthropic-key")
+    monkeypatch.delenv("ANTHROPIC_AUTH_TOKEN", raising=False)
+    monkeypatch.delenv("ANTHROPIC_CUSTOM_HEADERS", raising=False)
+    monkeypatch.setenv("OPENAI_ORG_ID", "unrelated-organization")
+    monkeypatch.setenv("OPENAI_PROJECT_ID", "unrelated-project")
+    constructed = []
+    original_init = BaseClient.__init__
+
+    def observe_client(self, *args, **kwargs):
+        constructed.append(type(self))
+        original_init(self, *args, **kwargs)
+
+    monkeypatch.setattr(BaseClient, "__init__", observe_client)
+    recording = cassette(endpoint, False)
+    body = deepcopy(recording["request"]["body"])
+    body["stream"] = False
+    requests = []
+
+    def handler(request):
+        requests.append(request)
+        assert str(request.url) == "https://configured.example/prefix" + path
+        assert json_loads(request.content) == body
+        bearer = endpoint != "messages" or provider in {"bedrock", "openrouter"}
+        assert request.headers.get("authorization") == (f"Bearer {key}" if bearer else None)
+        assert request.headers.get("x-api-key") == (None if bearer else key)
+        assert "openai-organization" not in request.headers
+        assert "openai-project" not in request.headers
+        return response(recording)
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        result = await getattr(molto, endpoint.replace("/", "_"))(
+            body,
+            provider=provider,
+            endpoint=endpoint,
+            base_url="https://configured.example/prefix",
+            extra_headers={"Authorization": "inbound", "x-api-key": "inbound"},
+        )
+    assert [client.__name__ for client in constructed] == [f"{prefix}{suffix}Client"]
+    assert len(requests) == 1
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: response(recording))
+    ) as transport:
+        if endpoint == "messages":
+            sdk = AsyncAnthropic(api_key="sdk-key", http_client=transport)
+            expected = await sdk.messages.create(**body)
+        else:
+            sdk = AsyncOpenAI(api_key="sdk-key", http_client=transport)
+            create = (
+                sdk.responses.create if endpoint == "responses" else sdk.chat.completions.create
+            )
+            expected = await create(**body)
+    assert result.model_dump() == expected.model_dump()
+
+
+@pytest.mark.parametrize("endpoint", ["responses", "messages"])
+async def test_gemini_rejects_other_protocols_before_http(endpoint):
+    """Ensures explicit provider classes do not imply Gemini supports another upstream protocol."""
+    async with Molto(
+        http_client=httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _: pytest.fail("Unsupported Gemini protocol reached HTTP")
+            )
+        )
+    ) as molto:
+        with pytest.raises(ValueError, match="Gemini supports only"):
+            await molto.responses(
+                {"model": "example", "input": "Hi"},
+                provider="gemini",
+                endpoint=endpoint,
+                api_key="test-key",
+                base_url="https://configured.example",
+            )
+
+
+@pytest.mark.parametrize(("provider", "endpoint"), EXPLICIT_DESTINATIONS)
+async def test_provider_routes_still_require_explicit_destination(provider, endpoint):
+    """Ensures alternate Together and regional Bedrock routes cannot fall back to another service."""
+    async with Molto(
+        http_client=httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _: pytest.fail("Unconfigured provider destination reached HTTP")
+            )
+        )
+    ) as molto:
+        with pytest.raises(ValueError, match="explicit"):
+            await molto.responses(
+                {"model": "example", "input": "Hi"},
+                provider=provider,
+                endpoint=endpoint,
+                api_key="test-key",
+            )
+
+
+@pytest.mark.parametrize(
+    ("provider", "endpoint", "base", "path"),
+    DESTINATIONS
+    + [
+        ("togetherai", "chat/completions", "https://api.together.ai/v1", "/chat/completions"),
+    ],
+)
+async def test_direct_hosted_clients_own_destination_and_authentication(
+    provider, endpoint, base, path, monkeypatch
+):
+    """Ensures directly constructed hosted clients retain their destination and isolated auth defaults."""
+    from molto.upstream.registry import CLIENTS
+
+    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-key")
+    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated-token")
+    monkeypatch.setenv(
+        "ANTHROPIC_CUSTOM_HEADERS", "authorization: unrelated\nX-API-KEY: unrelated"
+    )
+    recording = cassette(endpoint, False)
+    request = REQUEST_TYPES[endpoint].model_validate(recording["request"]["body"])
+    requests = []
+
+    def handler(request):
+        requests.append(request)
+        assert str(request.url) == base + path
+        bearer = endpoint != "messages" or provider in {"bedrock", "openrouter"}
+        assert request.headers.get("authorization") == ("Bearer selected-key" if bearer else None)
+        assert request.headers.get("x-api-key") == (None if bearer else "selected-key")
+        return response(recording)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
+        client = CLIENTS[provider, endpoint](
+            transport,
+            api_key="selected-key",
+            base_url=base if provider == "bedrock" else None,
+            capabilities=PROVIDER_CAPABILITIES[provider],
+        )
+        await client.native_response(request)
+    assert len(requests) == 1
+
+
+@pytest.mark.parametrize(("provider", "endpoint"), HOSTED_ROUTES)
+async def test_direct_hosted_clients_never_fall_back_to_other_credentials(
+    provider, endpoint, monkeypatch
+):
+    """Ensures hosted subclasses enforce their credential boundary without facade-supplied flags."""
+    from molto.upstream.registry import CLIENTS
+
+    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
+    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-key")
+    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated-token")
+    async with httpx.AsyncClient() as transport:
+        client = CLIENTS[provider, endpoint](
+            transport,
+            base_url="https://configured.example",
+            capabilities=PROVIDER_CAPABILITIES[provider],
+        )
+        error_type = TypeError if endpoint == "messages" else OpenAIError
+        with pytest.raises(error_type, match=PROVIDERS[provider][1].upper()):
+            if endpoint == "messages":
+                client._make_anthropic_client()
+            else:
+                client._make_sdk_client()
+
+
+@pytest.mark.parametrize(("provider", "endpoint"), EXPLICIT_DESTINATIONS)
+async def test_direct_provider_clients_require_their_destination(provider, endpoint):
+    """Ensures direct regional or alternative clients cannot send provider keys to canonical hosts."""
+    from molto.upstream.registry import CLIENTS
+
+    async with httpx.AsyncClient() as transport:
+        with pytest.raises(ValueError, match="explicit"):
+            CLIENTS[provider, endpoint](
+                transport, api_key="test-key", capabilities=PROVIDER_CAPABILITIES[provider]
+            )
diff --git a/tests/upstream/test_multi_turn.py b/tests/upstream/test_multi_turn.py
index 54f6575..2e8f789 100644
--- a/tests/upstream/test_multi_turn.py
+++ b/tests/upstream/test_multi_turn.py
@@ -1,8 +1,12 @@
+import json
 from contextlib import asynccontextmanager
+from copy import deepcopy
 from pathlib import Path
 
 import httpx
 import pytest
+from anthropic import AsyncAnthropic
+from openai import AsyncOpenAI
 
 from molto.providers import PROVIDER_CAPABILITIES
 from molto.types.normalized import (
@@ -27,18 +31,26 @@
     ToolReturn,
     UserInput,
 )
-from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+from molto.upstream.openai import OpenAIResponsesClient
+from molto.upstream.registry import CLIENTS as PROVIDER_CLIENTS
 from molto.utils.io import json_loads, read_yaml
+from tests.core.test_recorded_provider_conversations import collect
+from tests.core.test_together_conversations import _semantics
 
-CLIENTS = [OpenAIResponsesClient, OpenAIChatCompletionsClient, AnthropicMessagesClient]
-REASONING_CLIENTS = [OpenAIResponsesClient, AnthropicMessagesClient]
-CASSETTE_DIR = Path(__file__).parents[1] / "cassettes" / "upstream_ir"
+# Reusing canonical recordings exercises each declared class's protocol contract;
+# these combinations are offline tests, not evidence that those models run there.
 CLIENT_SETTINGS = {
-    OpenAIResponsesClient: ("openai", "responses"),
-    OpenAIChatCompletionsClient: ("openai", "chat_completions"),
-    AnthropicMessagesClient: ("anthropic", "messages"),
+    client: (provider, endpoint.replace("/", "_"))
+    for (provider, endpoint), client in PROVIDER_CLIENTS.items()
 }
+CLIENTS = list(CLIENT_SETTINGS)
+REASONING_CLIENTS = [
+    client
+    for client, (provider, endpoint) in CLIENT_SETTINGS.items()
+    if endpoint != "chat_completions"
+    and client.resolve_capabilities(PROVIDER_CAPABILITIES[provider]).thinking == "summary"
+]
+CASSETTE_DIR = Path(__file__).parents[1] / "cassettes" / "upstream_ir"
 
 
 @asynccontextmanager
@@ -46,8 +58,9 @@ async def _replay_client(
     client_type, scenario: str, turns: int, *, requests: list[httpx.Request] | None = None
 ):
     provider, endpoint = CLIENT_SETTINGS[client_type]
+    source_provider = "anthropic" if endpoint == "messages" else "openai"
     cassettes = [
-        read_yaml(CASSETTE_DIR / scenario / f"{provider}-{endpoint}-stream-{turn:02}.yaml")
+        read_yaml(CASSETTE_DIR / scenario / f"{source_provider}-{endpoint}-stream-{turn:02}.yaml")
         for turn in range(turns)
     ]
     consumed = 0
@@ -75,10 +88,14 @@ def handle(request: httpx.Request) -> httpx.Response:
         client = client_type(
             http_client,
             api_key="test-key",
-            capabilities=PROVIDER_CAPABILITIES[provider],
+            capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES[provider]),
+            base_url="https://api.anthropic.com"
+            if endpoint == "messages"
+            else "https://api.openai.com/v1",
             extra_body=(
                 {"include": ["reasoning.encrypted_content"], "store": False}
-                if client_type is OpenAIResponsesClient and scenario == "tool_use_reasoning"
+                if issubclass(client_type, OpenAIResponsesClient)
+                and scenario == "tool_use_reasoning"
                 else None
             ),
         )
@@ -86,14 +103,23 @@ def handle(request: httpx.Request) -> httpx.Response:
     assert consumed == turns, "Not all conversation turns were replayed"
 
 
-def _assert_ir(events: list[ModelResponseStreamEvent]) -> list[TextOutput | ToolCall | Thinking]:
+def _assert_ir(
+    events: list[ModelResponseStreamEvent],
+    *,
+    tool_name="read_file",
+    source_timestamps=None,
+    raw_reasoning=False,
+) -> list[TextOutput | ToolCall | Thinking]:
     """Check lifecycle balance and reconstruct each completed part from its deltas."""
     start, end = events[0], events[-1]
     assert isinstance(start, ResponseStartEvent)
     assert isinstance(end, ResponseEndEvent)
     assert start.id == end.id and start.id
     assert start.model == end.model and start.model
-    assert start.created_at == end.created_at
+    if source_timestamps is None:
+        assert start.created_at == end.created_at
+    else:
+        assert (start.created_at, end.created_at) == source_timestamps
     assert end.stop_sequence is None
     usage = end.usage
     assert usage is not None
@@ -126,8 +152,12 @@ def _assert_ir(events: list[ModelResponseStreamEvent]) -> list[TextOutput | Tool
             else:
                 assert isinstance(delta, ThinkingDelta)
                 assert isinstance(active, Thinking)
-                assert not delta.content_delta
-                active.summary += delta.summary_delta or ""
+                if raw_reasoning:
+                    assert not delta.summary_delta and not delta.signature_delta
+                    active.content += delta.content_delta or ""
+                else:
+                    assert not delta.content_delta
+                    active.summary += delta.summary_delta or ""
                 if delta.signature_delta is not None:
                     # Opaque state is a replacement snapshot, never a text fragment.
                     active.signature = delta.signature_delta
@@ -137,14 +167,22 @@ def _assert_ir(events: list[ModelResponseStreamEvent]) -> list[TextOutput | Tool
                 assert active.content.strip()
             elif isinstance(active, ToolCall):
                 assert active.tool_call_id
-                assert active.tool_name == "read_file"
+                assert active.tool_name == tool_name
                 args = json_loads(active.args)
-                assert isinstance(args, dict) and set(args) == {"path"}
-                assert isinstance(args["path"], str) and args["path"]
+                assert isinstance(args, dict)
+                if tool_name == "read_file":
+                    assert set(args) == {"path"}
+                    assert isinstance(args["path"], str) and args["path"]
+                else:
+                    assert set(args) == {"a", "b"}
+                    assert all(type(value) is int for value in args.values())
             else:
                 assert isinstance(active, Thinking)
-                assert active.content == ""
-                assert active.signature
+                if raw_reasoning:
+                    assert active.content and not active.summary and not active.signature
+                else:
+                    assert active.content == ""
+                    assert active.signature
             parts.append(event.part)
             active = None
     assert active is None
@@ -221,15 +259,19 @@ async def test_multi_turn_text_and_image_chat(client_type) -> None:
             assert request.input == expected_input
 
             body = json_loads(requests[-1].content)
-            messages = body["input"] if client_type is OpenAIResponsesClient else body["messages"]
+            messages = (
+                body["input"]
+                if issubclass(client_type, OpenAIResponsesClient)
+                else body["messages"]
+            )
             assert [message["role"] for message in messages] == [
                 "user" if isinstance(item, UserInput) else "assistant" for item in expected_input
             ]
             text_type, image_type = {
-                OpenAIResponsesClient: ("input_text", "input_image"),
-                OpenAIChatCompletionsClient: ("text", "image_url"),
-                AnthropicMessagesClient: ("text", "image"),
-            }[client_type]
+                "responses": ("input_text", "input_image"),
+                "chat_completions": ("text", "image_url"),
+                "messages": ("text", "image"),
+            }[CLIENT_SETTINGS[client_type][1]]
             for message in messages:
                 if message["role"] == "user":
                     assert [part["type"] for part in message["content"]] == [
@@ -284,7 +326,11 @@ async def test_multi_turn_consecutive_user_text_inputs(client_type) -> None:
             assert request.input == expected_input
 
             body = json_loads(requests[-1].content)
-            messages = body["input"] if client_type is OpenAIResponsesClient else body["messages"]
+            messages = (
+                body["input"]
+                if issubclass(client_type, OpenAIResponsesClient)
+                else body["messages"]
+            )
             assert [message["role"] for message in messages] == [
                 "user" if isinstance(item, UserInput) else "assistant" for item in expected_input
             ]
@@ -386,3 +432,298 @@ async def test_multi_turn_tool_use(client_type) -> None:
 async def test_multi_turn_tool_use_with_reasoning(client_type) -> None:
     """Ensures reasoning summaries and opaque state survive a complete tool conversation."""
     await _assert_tool_conversation(client_type, reasoning=True)
+
+
+RECORDED_ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
+RECORDED_GROUPS = [
+    "fireworks-chat-text-stream-none-history",
+    "fireworks-chat-tools-stream-none-history",
+    "fireworks-responses-text-stream-none",
+    "fireworks-responses-tools-stream-none",
+    "fireworks-messages-text-stream-none",
+    "fireworks-messages-tools-stream-none",
+    "openrouter-chat-text-stream-none",
+    "openrouter-responses-text-stream-none",
+    "openrouter-responses-tools-stream-low",
+    "openrouter-messages-text-stream-none",
+    "openrouter-messages-tools-stream-none",
+]
+
+
+def _caller_inputs(messages):
+    """Read only recorded caller input; assistant history must come from actual emitted IR."""
+    result = []
+    for message in messages:
+        if message.get("type") == "function_call_output":
+            result.append(
+                ToolReturn(
+                    tool_call_id=message["call_id"], content=[TextInput(content=message["output"])]
+                )
+            )
+        elif message.get("role") == "tool":
+            result.append(
+                ToolReturn(
+                    tool_call_id=message["tool_call_id"],
+                    content=[TextInput(content=message["content"])],
+                )
+            )
+        else:
+            assert message["role"] == "user"
+            content = message["content"]
+            if isinstance(content, str):
+                content = [{"type": "text", "text": content}]
+            if all(part["type"] == "tool_result" for part in content):
+                result.extend(
+                    ToolReturn(
+                        tool_call_id=part["tool_use_id"],
+                        content=[TextInput(content=part["content"])],
+                    )
+                    for part in content
+                )
+            else:
+                assert all(part["type"] in {"text", "input_text"} for part in content)
+                result.append(
+                    UserInput(content=[TextInput(content=part["text"]) for part in content])
+                )
+    return result
+
+
+def _expected_normalized_wire(recorded, protocol):
+    """Derive expected wire copies from native evidence using only known representation changes."""
+    body = deepcopy(recorded)
+    history = body["input" if protocol == "responses" else "messages"]
+    for message in history:
+        if message.get("role") in {"user", "tool"} and isinstance(message["content"], str):
+            message["content"] = [
+                {
+                    "type": "input_text" if protocol == "responses" else "text",
+                    "text": message["content"],
+                }
+            ]
+        if message.get("role") == "assistant":
+            if protocol == "chat/completions":
+                for field in ("refusal", "tool_calls", "tools", "reasoning", "reasoning_content"):
+                    if field in message and message[field] is None:
+                        del message[field]
+                if message.get("tool_calls"):
+                    if message.get("content") is None:
+                        message.pop("content", None)
+                    for call in message["tool_calls"]:
+                        if call.get("name") is None:
+                            call.pop("name", None)
+            elif protocol == "responses":
+                # Normalized text parts do not carry their enclosing source message ID.
+                message.pop("id", None)
+                assert message.get("phase") is None
+                message.pop("phase", None)
+                for part in message["content"]:
+                    part.setdefault("annotations", [])
+                    part.setdefault("logprobs", [])
+            else:
+                for part in message["content"]:
+                    if part.get("citations") in (None, []):
+                        part.pop("citations", None)
+                    if part.get("caller") in (None, {"type": "direct"}):
+                        part.pop("caller", None)
+        if message.get("type") == "reasoning":
+            assert message.pop("format", None) == "unknown"
+            assert message.pop("status") == "completed"
+        if message.get("type") == "function_call_output":
+            message["output"] = [{"type": "input_text", "text": message["output"]}]
+        if protocol == "messages" and message.get("role") == "user":
+            for part in message["content"]:
+                if part["type"] == "tool_result" and isinstance(part["content"], str):
+                    part["content"] = [{"type": "text", "text": part["content"]}]
+    if protocol == "chat/completions":
+        body["max_completion_tokens"] = body.pop("max_tokens")
+    if protocol != "messages":
+        for tool in body.get("tools", []):
+            (tool["function"] if protocol == "chat/completions" else tool).setdefault(
+                "strict", False
+            )
+    return body
+
+
+@pytest.mark.parametrize("group_name", RECORDED_GROUPS)
+async def test_recorded_provider_normalized_multi_turn(group_name):
+    """Ensures actual provider IR continues text/tool turns with exact independently expected wire bodies."""
+    group = RECORDED_ROOT / group_name
+    manifest = json.loads((group / "manifest.json").read_text())
+    protocol = manifest["upstream_protocol"]
+    provider = manifest["provider"]
+    client_type = PROVIDER_CLIENTS[(provider, protocol)]
+    recordings = [read_yaml(group / turn["files"][0]) for turn in manifest["turns"]]
+    history_key = "input" if protocol == "responses" else "messages"
+    first_body = recordings[0]["request"]["body"]
+    request = NormalizedRequest(
+        model=first_body["model"],
+        stream=True,
+        max_output_tokens=manifest["max_tokens"],
+        input=_caller_inputs(first_body[history_key]),
+    )
+    if first_body.get("tools"):
+        tool = first_body["tools"][0]
+        tool = tool["function"] if protocol == "chat/completions" else tool
+        request.tools = [
+            FunctionTool(
+                name=tool["name"],
+                description=tool["description"],
+                parameters=tool["input_schema" if protocol == "messages" else "parameters"],
+            )
+        ]
+    calls = 0
+    for turn, recording in enumerate(recordings):
+        recorded = recording["request"]["body"]
+        expected = _expected_normalized_wire(recorded, protocol)
+        response = recording["response"]
+        assert response["status_code"] == 200
+
+        def handle(http_request, expected=expected, response=response):
+            nonlocal calls
+            calls += 1
+            assert str(http_request.url) == manifest["upstream_url"]
+            assert json_loads(http_request.content) == expected
+            return httpx.Response(
+                200, text="".join(response["sse"]), headers={"content-type": "text/event-stream"}
+            )
+
+        async with httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _, response=response: httpx.Response(
+                    200,
+                    text="".join(response["sse"]),
+                    headers={"content-type": "text/event-stream"},
+                )
+            )
+        ) as transport:
+            sdk = (
+                AsyncAnthropic(api_key="test", http_client=transport)
+                if protocol == "messages"
+                else AsyncOpenAI(api_key="test", http_client=transport)
+            )
+            create = (
+                sdk.messages.create
+                if protocol == "messages"
+                else sdk.responses.create
+                if protocol == "responses"
+                else sdk.chat.completions.create
+            )
+            sdk_body = {
+                key: value
+                for key, value in recorded.items()
+                if key not in (manifest.get("extra_body") or {})
+            }
+            reference, source_events = await collect(
+                await create(**sdk_body, extra_body=manifest.get("extra_body")), True, protocol
+            )
+        controls = {
+            key: recorded[key]
+            for key in (
+                "reasoning",
+                "reasoning_effort",
+                "thinking",
+                "tool_choice",
+                "parallel_tool_calls",
+                "store",
+            )
+            if key in recorded
+        }
+        controls.update(manifest.get("extra_body") or {})
+        async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
+            client = client_type(
+                transport,
+                api_key="test",
+                capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES[provider]),
+                extra_body=controls,
+            )
+            before = request.model_copy(deep=True)
+            events = [event async for event in client.events(request)]
+            assert request == before
+        timestamps = (
+            (int(source_events[0]["response"]["created_at"]), int(reference.created_at))
+            if protocol == "responses"
+            else None
+        )
+        parts = _assert_ir(
+            events,
+            tool_name="add",
+            source_timestamps=timestamps,
+            raw_reasoning=manifest.get("reasoning_setting") == "low",
+        )
+        source_id, model, text, tool_calls, reasoning, usage = _semantics(reference, protocol)
+        assert (events[0].id, events[0].model) == (source_id, model)
+        assert "".join(part.content for part in parts if isinstance(part, TextOutput)) == text
+        assert [
+            (part.tool_call_id, part.tool_name, json_loads(part.args))
+            for part in parts
+            if isinstance(part, ToolCall)
+        ] == tool_calls
+        assert [
+            (part.content, part.summary, part.signature)
+            for part in parts
+            if isinstance(part, Thinking)
+        ] == reasoning
+        assert (
+            events[-1].usage.input_tokens,
+            events[-1].usage.output_tokens,
+            events[-1].usage.total_tokens,
+        ) == usage
+        if turn + 1 < len(recordings):
+            request.input.append(AssistantInput(content=parts))
+            output_items = len(reference.output) if protocol == "responses" else 1
+            suffix = recordings[turn + 1]["request"]["body"][history_key][
+                len(recorded[history_key]) + output_items :
+            ]
+            assert suffix
+            request.input.extend(_caller_inputs(suffix))
+    assert calls == len(recordings)
+
+
+async def test_recorded_together_alternate_reasoning_rejects_normalized_output():
+    """Ensures Together's current alternate reasoning dialect rejects rather than losing SDK-visible text."""
+    group = RECORDED_ROOT.parent / "2026-11-03/together-text-stream"
+    manifest = json.loads((group / "manifest.json").read_text())
+    recording = read_yaml(group / manifest["turns"][0]["files"][0])
+    body = recording["request"]["body"]
+    expected = _expected_normalized_wire(body, "chat/completions")
+    calls = 0
+
+    def handle(request):
+        nonlocal calls
+        calls += 1
+        assert json_loads(request.content) == (body if calls == 1 else expected)
+        return httpx.Response(
+            200,
+            text="".join(recording["response"]["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
+        sdk = AsyncOpenAI(api_key="test", http_client=transport)
+        sdk_body = {
+            key: value
+            for key, value in body.items()
+            if key not in (manifest.get("extra_body") or {})
+        }
+        reference, _ = await collect(
+            await sdk.chat.completions.create(**sdk_body, extra_body=manifest["extra_body"]), True
+        )
+        assert reference.choices[0].message.reasoning_content
+        client_type = PROVIDER_CLIENTS[("togetherai", "chat/completions")]
+        client = client_type(
+            transport,
+            api_key="test",
+            capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES["togetherai"]),
+            extra_body=manifest["extra_body"],
+        )
+        request = NormalizedRequest(
+            model=body["model"],
+            stream=True,
+            max_output_tokens=manifest["max_tokens"],
+            input=_caller_inputs(body["messages"]),
+        )
+        with pytest.raises(
+            ValueError, match="reasoning field 'reasoning_content'.*'reasoning' dialect"
+        ):
+            _ = [event async for event in client.events(request)]
+    assert calls == 2 and transport.is_closed
diff --git a/tests/upstream/test_openrouter.py b/tests/upstream/test_openrouter.py
new file mode 100644
index 0000000..e6ea417
--- /dev/null
+++ b/tests/upstream/test_openrouter.py
@@ -0,0 +1,122 @@
+"""OpenRouter Responses interprets explicit wire reasoning without changing other protocols."""
+
+import httpx
+import pytest
+
+from molto.providers import PROVIDER_CAPABILITIES
+from molto.types.normalized import NormalizedRequest, PartEndEvent, Thinking
+from molto.upstream.openrouter import OpenRouterResponsesClient
+from tests.upstream.test_openai import _response_event, _unexpected_http
+
+
+async def normalized_events(monkeypatch, items):
+    async def native_events(request):
+        for item in items:
+            yield _response_event(item)
+
+    async with httpx.AsyncClient(transport=httpx.MockTransport(_unexpected_http)) as transport:
+        client = OpenRouterResponsesClient(
+            transport, capabilities=PROVIDER_CAPABILITIES["openrouter"]
+        )
+        monkeypatch.setattr(client, "native_events", native_events)
+        return [event async for event in client.events(NormalizedRequest(model="m"))]
+
+
+def reasoning_item(**fields):
+    return {"id": "rs_1", "type": "reasoning", "summary": [], **fields}
+
+
+def item_event(item, *, done=False):
+    return {
+        "type": "response.output_item.done" if done else "response.output_item.added",
+        "output_index": 0,
+        "sequence_number": 0,
+        "item": item,
+    }
+
+
+@pytest.mark.parametrize("raw", [False, True])
+async def test_wire_reasoning_preserves_raw_or_signed_summary(monkeypatch, raw):
+    """Ensures explicit raw text and signed summaries retain their distinct IR representations."""
+    item = reasoning_item(
+        **(
+            {"content": [{"type": "reasoning_text", "text": "Thought"}], "format": "unknown"}
+            if raw
+            else {
+                "summary": [{"type": "summary_text", "text": "Thought"}],
+                "encrypted_content": "opaque",
+            }
+        )
+    )
+    events = await normalized_events(monkeypatch, [item_event(item), item_event(item, done=True)])
+    assert events[-1] == PartEndEvent(
+        index=0,
+        part=Thinking(
+            id="rs_1",
+            content="Thought" if raw else "",
+            summary="" if raw else "Thought",
+            signature=None if raw else "opaque",
+        ),
+    )
+
+
+@pytest.mark.parametrize(
+    ("fields", "error"),
+    [
+        (
+            {"summary": [{"type": "summary_text", "text": "Summary"}]},
+            "summary requires a signature",
+        ),
+        (
+            {
+                "summary": [{"type": "summary_text", "text": "Summary"}],
+                "encrypted_content": "opaque",
+                "format": "unknown",
+            },
+            "format cannot be translated",
+        ),
+        (
+            {"content": [{"type": "reasoning_text", "text": "Raw"}], "format": "named-v1"},
+            "format cannot be translated",
+        ),
+        (
+            {
+                "content": [{"type": "reasoning_text", "text": "Raw"}],
+                "summary": [{"type": "summary_text", "text": "Summary"}],
+                "encrypted_content": "opaque",
+            },
+            "both raw reasoning and a summary",
+        ),
+        (
+            {
+                "content": [{"type": "reasoning_text", "text": "Raw"}],
+                "encrypted_content": "opaque",
+            },
+            "signature cannot accompany raw reasoning",
+        ),
+    ],
+)
+async def test_wire_reasoning_keeps_format_and_signature_boundaries(monkeypatch, fields, error):
+    """Ensures wire interpretation does not accept unsigned summaries, opaque formats, or mixed parts."""
+    with pytest.raises(ValueError, match=error):
+        await normalized_events(monkeypatch, [item_event(reasoning_item(**fields), done=True)])
+
+
+@pytest.mark.parametrize("first_raw", [False, True])
+async def test_wire_reasoning_cannot_change_representation_mid_item(monkeypatch, first_raw):
+    """Ensures individually valid deltas cannot mix raw and summarized reasoning in one item."""
+    deltas = [
+        {
+            "type": "response.reasoning_text.delta"
+            if raw
+            else "response.reasoning_summary_text.delta",
+            "content_index" if raw else "summary_index": 0,
+            "item_id": "rs_1",
+            "output_index": 0,
+            "sequence_number": index,
+            "delta": "Thought",
+        }
+        for index, raw in enumerate((first_raw, not first_raw))
+    ]
+    with pytest.raises(ValueError, match="cannot mix raw text"):
+        await normalized_events(monkeypatch, [item_event(reasoning_item()), *deltas])

From c018df30360850751e2afa71396cc976e96c66f0 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Thu, 5 Nov 2026 03:50:55 +0000
Subject: [PATCH 10/15] refactor: Simplify provider protocols and replay
 coverage

---
 docs/errors.md                                |    4 -
 docs/protocols/openai-chat-completions.md     |    4 +-
 docs/provider-compatibility.md                |   86 +-
 python/ARCHITECTURE.md                        |   12 +-
 python/CONVENTIONS.md                         |    4 +-
 python/molto/adapters/openai.py               |   17 +-
 python/molto/core.py                          |   42 +-
 python/molto/types/anthropic_messages.py      |   18 +-
 python/molto/types/openai_chat_completions.py |    7 +-
 python/molto/upstream/anthropic.py            |   28 +-
 python/molto/upstream/base.py                 |   11 +-
 python/molto/upstream/bedrock.py              |   14 +-
 python/molto/upstream/compatible.py           |   20 -
 python/molto/upstream/fireworks.py            |   22 +-
 python/molto/upstream/openai.py               |   23 +-
 python/molto/upstream/openrouter.py           |   15 +-
 python/molto/upstream/registry.py             |   40 +-
 python/molto/upstream/together.py             |   40 +-
 python/molto/utils/test.py                    |   61 +-
 scripts/record_native_conversation.py         |  359 -
 scripts/record_provider_conversation.py       |  367 -
 tests/cassettes/README.md                     |   25 +-
 ...therai-chat_completions-non_stream-00.yaml |   37 -
 ...togetherai-chat_completions-stream-00.yaml |   40 -
 ...therai-chat_completions-non_stream-00.yaml |   37 -
 ...togetherai-chat_completions-stream-00.yaml |   42 -
 ...therai-chat_completions-non_stream-00.yaml |   37 -
 ...togetherai-chat_completions-stream-00.yaml |   40 -
 ...therai-chat_completions-non_stream-00.yaml |  203 -
 ...togetherai-chat_completions-stream-00.yaml |  208 -
 ...-01a1a245-9ce3-7d00-ade4-ac8377b653cd.yaml |   42 -
 .../gemini-text-stream/manifest.json          |   42 -
 ...-01a1a247-77d3-7502-818d-fd7c1de887b7.yaml |   54 -
 .../together-llama-text-stream/manifest.json  |   42 -
 ...-01a1a24c-855d-7172-8cb3-817eee18c561.yaml |  108 -
 ...-01a1a24c-8976-7ed0-8e69-8a1c23475c34.yaml |  126 -
 .../manifest.json                             |   49 -
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 ...-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml |   93 -
 .../together-qwen-text-stream/manifest.json   |   49 -
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 ...-01a1a24a-4303-7b72-aa70-50419a2fc77f.yaml |  517 --
 ...-01a1a24a-4736-7262-a255-44276689cb8a.yaml |  427 -
 ...-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml |  496 --
 .../together-qwen-tools-stream/manifest.json  |   54 -
 ...-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml | 4759 -----------
 .../together-text-stream/manifest.json        |   42 -
 ...-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml |  109 -
 ...-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml |  116 -
 .../manifest.json                             |   52 -
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 ...-01a1a47c-346c-7483-8f3a-17d55838302c.yaml |  403 -
 .../manifest.json                             |   52 -
 ...-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml |  693 --
 ...-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml |  100 -
 .../manifest.json                             |   58 -
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 .../manifest.json                             |   52 -
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 .../manifest.json                             |   51 -
 ...-01a1a475-7863-7982-a05d-2252a0e53ebf.yaml |   67 -
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 .../manifest.json                             |   51 -
 ...-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml | 1530 ----
 ...-01a1a47a-ac99-7391-a044-022a9f624b77.yaml | 1582 ----
 .../manifest.json                             |   52 -
 ...-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml | 7415 -----------------
 .../manifest.json                             |   49 -
 ...-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml |   77 -
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 ...-01a1a477-4273-7ed3-b9b3-9f43a1604326.yaml |  101 -
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 .../manifest.json                             |   60 -
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 ...-01a1a47a-d886-7980-a009-264027938d46.yaml |  108 -
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 .../manifest.json                             |   61 -
 ...-01a1a476-bfe7-7e23-af0e-2ea65e3b3ce5.yaml |   95 -
 ...-01a1a476-c317-74d2-a1b6-7976a0dc74d1.yaml |  108 -
 .../manifest.json                             |   58 -
 ...-01a1a47a-b9d7-7040-b37d-00924ae57aa7.yaml |  322 -
 ...-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml |  198 -
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 .../manifest.json                             |   61 -
 ...-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml |  706 --
 ...-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml |   97 -
 .../manifest.json                             |   58 -
 ...-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml |  107 -
 ...-01a1a47a-8e31-7451-a622-87a9272a142c.yaml |  119 -
 ...-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml |  108 -
 .../manifest.json                             |   61 -
 ...-01a1a476-d38c-70c2-8495-add7a157ad85.yaml |  107 -
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 .../manifest.json                             |   58 -
 ...-01a1a47a-d595-74a1-abc4-98ff40453f6c.yaml |   99 -
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 .../manifest.json                             |   51 -
 ...-01a1a47a-478c-7a32-ae37-a52c31a46f84.yaml |   90 -
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 .../manifest.json                             |   51 -
 ...-01a1a47c-3576-7950-a025-63d2fbb5f370.yaml |  993 ---
 ...-01a1a47c-39e4-7340-9472-799eb74cb963.yaml |  644 --
 .../manifest.json                             |   51 -
 ...-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml | 3232 -------
 .../manifest.json                             |   49 -
 ...-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml |  183 -
 ...-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml |  382 -
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 ...-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml |  110 -
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diff --git a/docs/errors.md b/docs/errors.md
index fce1a1c..5154274 100644
--- a/docs/errors.md
+++ b/docs/errors.md
@@ -58,7 +58,3 @@ The upstream client constructs the intended request using its effective base URL
 ## Implementation and verification
 
 See [error translation conventions](../python/CONVENTIONS.md#error-translation) for implementation and [error cassettes](../tests/cassettes/README.md#error-cassettes) for replay requirements. Cassette-backed coverage includes streaming and non-streaming requests across native and translated routes for every error scenario. Non-streaming tests use non-streaming recordings and compare provider SDK exceptions and their normalized cause chains; translated calls still stream upstream internally. Missing-credential tests cover both result modes and assert that no HTTP request is sent.
-
-## Hosted-provider errors
-
-Together additionally recognizes `model_not_available` on OpenAI SDK status errors as model-not-found, and `is longer than the model's context length` only on `BadRequestError` as context overflow. Other provider error rules remain unchanged. Historical Together error recordings are replayed against the independent SDK in their recorded mode through each public coordinator, preserving bodies, status, headers, and the acyclic cause chain. Required hosted-provider credentials fail locally before HTTP even when unrelated OpenAI/Anthropic keys are configured.
diff --git a/docs/protocols/openai-chat-completions.md b/docs/protocols/openai-chat-completions.md
index f649ff6..54e65de 100644
--- a/docs/protocols/openai-chat-completions.md
+++ b/docs/protocols/openai-chat-completions.md
@@ -127,7 +127,7 @@ One user message becomes one normalized user input. Ordered text and image parts
 
 System and developer messages accept scalar text or ordered text-part lists and become role-less instructions. Their sequence position and part markers are retained while targeting Responses or Chat, but their original role identity is lost. A later Chat projection emits every normalized instruction as `developer`. Messages projects instructions into top-level `system`, retaining separate blocks when any system block is marked. With any cache markers present, mid-conversation instructions are rejected because hoisting would change the cached prefix.
 
-Each assistant-history message becomes one `AssistantInput` containing ordered reasoning, text, and tool-call parts. Its enclosing message boundary is retained. The adapter accepts assistant scalar text or ordered text-part lists, optional string `reasoning_content` or string/ordered-string-array `reasoning`, and function tool calls. Two populated reasoning aliases reject on translated routes. Text-part markers remain attached to their normalized assistant text items. When a Chat request carries `reasoning_effort`, Molto requests a detailed summary (`reasoning.summary="detailed"` unless the effort is `none`, which disables reasoning) so a Responses or Messages target receives a completed summarized reasoning value.
+Each assistant-history message becomes one `AssistantInput` containing ordered reasoning, text, and tool-call parts. Its enclosing message boundary is retained. The adapter accepts assistant scalar text or ordered text-part lists, optional string `reasoning_content`, and function tool calls. Text-part markers remain attached to their normalized assistant text items. When a Chat request carries `reasoning_effort`, Molto requests a detailed summary (`reasoning.summary="detailed"` unless the effort is `none`, which disables reasoning) so a Responses or Messages target receives a completed summarized reasoning value.
 
 Tool messages normalize scalar text or ordered text parts as successful tool results. Native Chat tool messages containing image parts are rejected. The downstream adapter does not reinterpret such input as an image tool result. User text/images and tool-result text retain supported `prompt_cache_breakpoint` values as positional normalized markers.
 
@@ -331,4 +331,4 @@ External protocol references:
 
 ## Hosted extensions
 
-See [provider compatibility](../provider-compatibility.md) for strict reasoning aliases, Google `extra_content` at message/part/call attachments, Gemini missing index repair, and exact native history preservation. Native acceptance does not establish translated portability; populated opaque state rejects where there is no lossless mapping. Together emits its documented upstream `reasoning` dialect; translated downstream Chat output continues to use `reasoning_content`.
+See [provider compatibility](../provider-compatibility.md) for Google `extra_content` at message/part/call attachments, Gemini missing index repair, and native history preservation. Native acceptance does not establish translated portability; populated opaque state rejects where there is no lossless mapping.
diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 2c5c996..1a42fa5 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -1,73 +1,47 @@
-# Hosted provider compatibility
+# Provider compatibility
 
-Provider selection, upstream protocol, destination, and model are independent. Choose `endpoint` explicitly when the provider exposes a different protocol from the public method. Molto does not infer capabilities from a hostname or silently switch endpoints. Configuration support is not certification of every hosted model.
+Each added provider has one explicit upstream client, choosing Responses when available, then Messages, then Chat Completions. Thin subclasses share the protocol implementation. `molto.upstream.registry.CLIENTS` selects the client; unsupported provider/endpoint pairs fail locally instead of silently switching protocols.
 
-Every accepted provider/protocol combination selects its own client class through `molto.upstream.registry.CLIENTS`. Thin subclasses share the protocol implementation while giving each provider a consistent place for defaults and overrides. For example, `OpenRouterResponsesClient`, `OpenRouterChatCompletionsClient`, and `OpenRouterMessagesClient` are distinct clients. Explicit custom compatibility routes remain available; their registration does not claim that the provider hosts those endpoints.
+Existing OpenAI Responses and Chat Completions, Anthropic Messages, and vLLM routes remain available. Cross-vendor configurations such as OpenAI Messages and Anthropic Responses are unsupported.
 
-## Destinations and credentials
+## Selected protocols and configuration
 
-An explicit `api_key` overrides the configured provider key; an explicit empty key fails locally. Missing keys cannot fall back to OpenAI or Anthropic credentials. An explicit `base_url` overrides the destinations below. Caller authentication and account headers cannot override the selected upstream identity.
+| Provider    | Client                        | Default SDK base URL                                      | Credential                 |
+| ----------- | ----------------------------- | --------------------------------------------------------- | -------------------------- |
+| Together AI | `TogetherAIResponsesClient`   | `https://api.together.ai/v1`                              | `TOGETHER_AI_API_KEY`      |
+| Fireworks   | `FireworksResponsesClient`    | `https://api.fireworks.ai/inference/v1`                   | `FIREWORKS_API_KEY`        |
+| OpenRouter  | `OpenRouterResponsesClient`   | `https://openrouter.ai/api/v1`                            | `OPENROUTER_API_KEY`       |
+| Bedrock     | `BedrockResponsesClient`      | Explicit regional URL required                            | `AWS_BEARER_TOKEN_BEDROCK` |
+| Gemini      | `GeminiChatCompletionsClient` | `https://generativelanguage.googleapis.com/v1beta/openai` | `GEMINI_API_KEY`           |
 
-| Provider | Upstream | Default SDK base URL | Credential |
-| --- | --- | --- | --- |
-| `togetherai` | Chat Completions | `https://api.together.ai/v1` | `TOGETHER_AI_API_KEY` |
-| `gemini` | Chat Completions | `https://generativelanguage.googleapis.com/v1beta/openai` | `GEMINI_API_KEY` |
-| `openrouter` | Responses, Chat Completions | `https://openrouter.ai/api/v1` | `OPENROUTER_API_KEY` |
-| `openrouter` | Messages | `https://openrouter.ai/api` | `OPENROUTER_API_KEY` (Bearer) |
-| `fireworks` | Responses, Chat Completions | `https://api.fireworks.ai/inference/v1` | `FIREWORKS_API_KEY` |
-| `fireworks` | Messages | `https://api.fireworks.ai/inference` | `FIREWORKS_API_KEY` |
-| `bedrock` | Responses, Chat Completions, Messages | Explicit regional URL required | `AWS_BEARER_TOKEN_BEDROCK` (Bearer) |
+An explicit `api_key` overrides the configured provider key; an empty key fails locally. Missing provider keys cannot fall back to OpenAI credentials. An explicit `base_url` overrides the default without changing the provider or protocol. Authentication and account headers supplied through `extra_headers` cannot override the selected upstream identity.
 
-OpenAI SDK paths append `/responses` or `/chat/completions`; Anthropic SDK paths append `/v1/messages`. Bedrock examples reported in issue #78 are `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1` and `https://bedrock-runtime.us-east-1.amazonaws.com/anthropic`. Specify the source region and model/inference profile yourself. This supports API-key authentication; it does not add SigV4, Converse, InvokeModel, or a cross-region routing policy. The source hostname does not establish execution region or residency.
+Select the upstream protocol explicitly when it differs from the public method. For example, `Molto.chat_completions(..., provider="openrouter", endpoint="responses")` translates Chat input through the Responses client. The existing method defaults remain unchanged.
 
-Gemini rejects other upstream protocols. Together requires an explicit URL for alternative upstream protocols; such custom endpoint probes do not claim that Together hosts Responses or Messages.
+Protocol availability is documented by [Together](https://docs.together.ai/docs/inference/responses-api), [Fireworks](https://docs.fireworks.ai/api-reference/post-responses), [OpenRouter](https://openrouter.ai/docs/api_reference/responses/overview), [Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-responses-api.html), and [Gemini](https://ai.google.dev/gemini-api/docs/openai). Availability does not establish support for every model or feature. Together's Responses documentation lists GLM-5.2 and GLM-5.3 families; its earlier Chat model recordings do not validate this protocol.
 
-The destination references are [Together's OpenAI compatibility guide](https://docs.together.ai/docs/inference/openai-compatibility), [Gemini's OpenAI guide](https://ai.google.dev/gemini-api/docs/openai), [OpenRouter's API reference](https://openrouter.ai/docs/api/reference/overview), [OpenRouter's Messages endpoint](https://openrouter.ai/docs/api/api-reference/anthropic-messages/create-a-message), [Fireworks' Anthropic guide](https://docs.fireworks.ai/tools-sdks/anthropic-compatibility), and [Bedrock API-key authentication](https://docs.aws.amazon.com/bedrock/latest/userguide/api-keys.html). These documents establish configuration, not replay or live compatibility.
+## Provider differences
 
-## History and reasoning
+OpenRouter Responses identifies raw text and summaries explicitly. Its client accepts unsigned raw reasoning, including the recorded `format: "unknown"`, or a summary with its required signature. Named formats, formatted summaries, mixed representations, and mid-item representation changes reject. Native passthrough preserves the original fields. Raw reasoning projects to Chat and Messages; signed summaries can project to Messages. Incoming unsigned Messages thinking still follows the summary-input contract and rejects, so this output support does not establish a complete Messages reasoning round trip.
 
-Native Chat accepts assistant `reasoning: str | list[str]` and the string-only `reasoning_content` alias. It preserves exact strings, whitespace, array order, empty entries, explicit null content, and valid function/custom tool histories. Reasoning extensions reject null, non-string members, and unrelated fields. Stream-only tool `index` is not accepted in submitted history; remove SDK bookkeeping before sending the collected message.
+Fireworks Responses uses the summary profile. Its recorded low-reasoning output contains unsigned summaries, which remain valid native evidence but reject during normalization. Together uses the raw reasoning profile.
 
-Fireworks' observed assistant `tools: null` and function-call outer `name: null` placeholders are preserved in native history. Only null is accepted for these placeholders; the actual function name remains required at `function.name`. Assistant `tool_calls: null` also survives native continuation. These nulls have no translated tool semantics and do not replace request-level tool definitions. Responses function definitions may omit `strict`; native requests preserve the omission instead of inventing a default.
+Gemini Chat preserves opaque `extra_content.google` attachments on messages, content parts, and function calls, including nested nulls. Translation rejects populated opaque state. Missing streamed tool indices are repaired only when the call identity is unambiguous; ambiguous output rejects rather than losing calls.
 
-Native Messages content preserves explicitly supplied nullable SDK fields, including `citations: null` and `caller: null`. Fireworks accepted these fields in actual continuation requests assembled by the Anthropic SDK; their presence in that history does not imply they appeared in the original response stream. Unset fields remain omitted.
+## Replay evidence
 
-Translated input rejects two populated reasoning aliases. An empty string or empty array does not mask the populated alternate; an array containing an empty string remains populated. Ordered array entries become separate reasoning parts. When unsigned parts become a Chat string, their separator is a newline, including leading or trailing empty parts. The existing reasoning-before-text-before-calls history order remains enforced. Output streams finish active parts before starting subsequent text or reasoning; noncontiguous resumed calls reject explicitly.
+Provider conversations share `tests/upstream/test_multi_turn.py`. Cassettes use the existing scenario-first layout, for example `tests/cassettes/upstream_ir/tool_use/togetherai-responses-stream-00.yaml`. Each provider uses its own recordings. Canonical OpenAI/Anthropic fixtures are not reused as evidence of hosted-provider behavior.
 
-Together translates its documented `reasoning` dialect as unsigned raw reasoning. A model emitting `reasoning_content` remains native-compatible but is explicitly rejected on translated output rather than silently losing reasoning. The fresh Qwen capture below demonstrates this limitation. Fireworks Chat uses raw `reasoning_content`; its Responses and Messages profiles use summary semantics. Bedrock and OpenRouter's ambiguous Chat/Messages reasoning use summary profiles. Native routes retain provider output; translated routes still reject signatures or summaries they cannot represent. No tag parsing or automatic model-specific dialect fallback is provided.
+The suite checks native SDK parity, actual-output history, normalized lifecycle and semantics, exact expected subsequent requests, and focused public translation or rejection cases. Independent SDK responses supply the comparison values. Expected normalized request copies account for documented wire representations and omitted optional metadata; recorded fixtures are not rewritten to match Molto output.
 
-OpenRouter Responses interprets explicit wire labels per reasoning item: unsigned raw text or a summary with its required signature. The recorded raw output's `format: "unknown"` is accepted; named formats and formatted signed/summary output reject. Mixed representations and mid-item representation changes reject. Raw reasoning translates to Chat or Messages; signed summaries can project to Messages. Incoming unsigned Messages thinking still rejects under the existing summary-input contract, so a raw Messages response cannot yet be resubmitted as translated Messages history on this route.
+| Provider/model | Retained conversation evidence | Remaining limits |
+| --- | --- | --- |
+| Together `zai-org/GLM-5.2` | Two-turn text and three-turn sequential tools, streaming and non-streaming, with minimal reasoning | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
+| Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Text, sequential tools, and parallel tools in both native modes with reasoning disabled; streamed unsigned-summary tool history | Unsigned summaries cannot translate; other models and images are unverified |
+| OpenRouter `nvidia/nemotron-3.5-lightning:free` | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
+| Gemini | Configuration, Google attachment, and missing-index regressions | Live recording was blocked by the provider's location restriction |
+| Bedrock | Configuration and credential isolation | No live recording: credentials and model/profile were unavailable |
 
-Native Gemini history supports `extra_content.google` on messages, individual content parts, and function calls. The Google object is opaque, including tool-result `parts[].file_data`, signatures, and null values. Attachments are not moved or combined. Translated input/output containing populated Google state rejects explicitly. OpenRouter Responses reasoning `format` similarly survives native continuation and rejects unsupported translation.
+The retained OpenRouter captures use an explicit free model, disabled provider fallbacks, zero price caps, and no plugins. Reported costs were zero. Responses history is manual with `store=false`. Captures establish only the recorded model, settings, and date; replay does not prove that translated request bodies were executed live.
 
-Gemini missing tool indices are repaired only when identity is unambiguous: stable call IDs select stable indices; an anonymous continuation requires a single known call. Parallel calls never share an inferred index. Conflicting identities and ambiguous fragments fail. Repeated identical IDs on repaired fragments are treated as identity snapshots so SDK accumulation does not concatenate IDs. Otherwise indexed native chunks are preserved. Translated streams additionally require contiguous fragments per call.
-
-Request transport remains separate from history. For Google's literal wire `extra_body.google` envelope, pass `extra_body={"extra_body": {"google": {...}}}`. Ordinary transport extras merge at the top level under SDK precedence. They do not replace `extra_content` history. The separate Anthropic `extra_content.anthropic` continuation work belongs to [PR #92](https://github.com/EmbeddedLLM/molto/pull/92), targeting PR #74; this change does not implement that dependency.
-
-## Evidence matrix
-
-The fresh captures are under `tests/cassettes/provider_recordings/2026-11-03/` and `2026-11-04/`. Each group has a manifest with original ordered exchanges, requested/returned model, real destination, native mode, settings, SDK/Python versions, and completion or failure status. They were recorded through the native SDK with zero retries, outside pytest, and copied without modifying their bytes. Incomplete groups are failure evidence, not complete conversation support.
-
-| Provider/configuration | Fresh live evidence | Offline evidence | Remaining limitations |
-| --- | --- | --- | --- |
-| Together, `Qwen/Qwen3.5-9B`, Chat at `/v1/chat/completions` | Two-turn text and three-turn sequential tools in both native modes; explicit parallel tools in native non-streaming mode | Exact native SDK output; accepted non-streaming tool/parallel histories replay exactly; strict unsupported-history rejection for recorded null reasoning/output-only placeholders | Emits `reasoning_content`, so translated reasoning is unsupported. Recorded text history includes null reasoning; streamed collection includes output-only null annotations. These histories reject locally. Streamed parallel runs returned only one call; no live streaming parallel claim |
-| Together, `meta-llama/Llama-3.3-70B-Instruct-Turbo`, Chat | HTTP 400 `model_not_available` | Original error body retained | Account cannot use this model as a serverless endpoint |
-| Gemini, `gemini-3.8-flash`, Chat | HTTP 400 location restriction | Native extension round trips, index repair/ambiguity, translation rejection, exact nested Google wire envelope (synthetic) | No successful live model conversation from this environment |
-| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Chat | Text and parallel calls in both modes; non-streaming sequential tools | Exact native SDK output; streamed text/parallel histories replay; recorded non-streaming null reasoning rejects explicitly | Streamed sequential tools with reasoning disabled repeated the first call. Low reasoning exposed SDK corruption of `reasoning_details` metadata; the recorder stopped before continuation |
-| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Responses | Text in both modes; sequential tools non-streaming with reasoning disabled and streaming with low reasoning | Native manual-history SDK parity; raw-reasoning translation to both other protocols; three-turn normalized raw-reasoning/tool continuation | Streamed tools with reasoning disabled repeated the first call. Public translated Messages reasoning round trips remain unsupported because incoming unsigned thinking is ambiguous |
-| OpenRouter, `nvidia/nemotron-3.5-lightning:free`, Messages | Text in both modes; sequential tools streaming with reasoning disabled and non-streaming with low reasoning | Native SDK output and exact actual-output history; first-turn translated streaming replay | Non-streaming tools with reasoning disabled repeated the first call. Other models, parallel Messages calls, and translated multi-turn histories unverified |
-| OpenRouter, `liquid/lfm-2.5-2.6b:free`, Chat | HTTP 400 in both modes when reasoning was disabled; low-reasoning attempts encountered HTTP 429 | Original HTTP 400 configuration errors retained | No complete conversation recorded. Both low-reasoning groups are withheld because their rate-limit bodies contain an account identifier |
-| Fireworks, Nemotron Lightning, Chat | Two-turn text, three-turn sequential tools, and two-turn parallel tools, each in both native modes with reasoning `none` and `low` | Native SDK output and actual-output continuation replay; narrow nullable history placeholders | Initial streams submitted SDK-invented null bookkeeping that Fireworks rejected. Those failed captures are retained; successful captures omit only bookkeeping absent from the wire. Other models and images untested |
-| Fireworks, Nemotron Lightning, Responses | The same 12 conversation cells, independently recorded with manual `store=false` history | Native SDK output, reasoning summaries, tool IDs/results, and exact next-request history | Stored `previous_response_id` continuation untested; low reasoning has no encrypted signature and summary translation rejects it |
-| Fireworks, Nemotron Lightning, Messages | The same 12 conversation cells, independently recorded with actual content-block history | Native SDK output, final-event usage, tool IDs/results, and exact next-request history | Low reasoning emits thinking with an empty signature; summary translation rejects this unsupported state. Other models and images untested |
-| Bedrock, explicit reported regional URLs | None; credential/profile unavailable | URL joining, Bearer authentication, native SDK replay | Exact live model/profile mapping, reasoning, full tools and both native modes unknown |
-
-`tests/cassettes/reference_pr76/` retains deliberately matched historical success fixtures from [PR #76, commit 42b9040](https://github.com/EmbeddedLLM/molto/pull/76/commits/42b9040cb2c74b3676d1749b2c4473c16b3bda9f). They cover text, raw reasoning, remote/data images, sequential tools, named/disabled tool choice, and parallel calls. Their manifest records original paths and hashes. These are independent of fresh provider availability. Historical Together error fixtures retain original response bodies/status/headers; aligned or shortened requests do not establish a live error reproduction.
-
-The Fireworks model is `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b`. Its 47 capture groups contain 36 completed conversations and 11 incomplete attempts, totaling 101 HTTP exchanges. Incomplete attempts retain provider errors, exhausted token budgets, or unmet scenario assertions. Messages low reasoning uses a 1024-token thinking budget; one text retry increased the output limit to 4096. This evidence is specific to the recorded model, settings, and date. Translated replay covers each completed stream's first turn through both other protocols in both downstream modes, comparing independent SDK content, calls, usage, and termination or asserting unsupported unsigned-summary rejection. Chat raw reasoning translates successfully; Responses and Messages low reasoning remain unsupported. Translated replay does not establish that translated request bodies were executed live or that translated multi-turn continuation works.
-
-OpenRouter captures use explicit free model IDs, disabled provider fallbacks, and zero prompt, completion, and request price limits. `openrouter-selection.json` retains the selected public catalog entries and their zero token prices. The public corpus has 19 groups and 40 HTTP exchanges: 13 complete conversations and six unsuccessful attempts. Two additional Liquid low-reasoning groups (three exchanges) remain outside the repository because the rate-limit responses contain an account identifier. Returned costs were zero wherever reported. Captures expose `Nvidia` as the backend on Chat and non-streaming Messages responses; no backend identity is inferred for responses that omit it. Responses uses full manual history with `store=false`; OpenRouter [documents its Responses API as stateless](https://openrouter.ai/docs/api_reference/responses/overview). Availability, free quotas, and model reasoning controls remain specific to these runs.
-
-`tests/upstream/test_multi_turn.py` exercises all 22 registered classes against canonical protocol fixtures, plus 11 recorded Fireworks/OpenRouter normalized conversations and an explicit Together dialect rejection. Recorded cases feed actual normalized output into subsequent requests and compare exact expected wire bodies and independent SDK semantics. Their expected request copies account for documented normalized representations and omitted nonsemantic metadata; original cassettes remain unchanged. This establishes upstream normalized continuation, distinct from full public cross-protocol conversation support.
-
-Synthetic SDK parity probes and replayed OpenAI/Anthropic fixtures establish local routing and serialization only. They do not turn an unrecorded provider cell into live support. Full issue #78 completion still requires the unknown provider cells, broader model-specific continuation evidence, and the separate Anthropic dependency.
+The duplicate PR #76 corpus, per-run manifests, source snapshots, and unsupported-protocol captures are omitted. Full issue #78 coverage still requires the remaining provider/model cells and the separate Anthropic continuation work in #74/#92.
diff --git a/python/ARCHITECTURE.md b/python/ARCHITECTURE.md
index 7232b9a..4906ce8 100644
--- a/python/ARCHITECTURE.md
+++ b/python/ARCHITECTURE.md
@@ -26,13 +26,13 @@ Molto never derives provider behavior from a URL hostname. When `provider` is om
 
 ### Endpoint selection belongs to the coordinator
 
-Each upstream client implements one upstream wire protocol. A client must not switch or override the selected endpoint to accommodate a provider's supported protocols. Implement provider-specific clients only for protocols that the provider supports, reusing the existing protocol client where possible. For example, if Together AI supports only Chat Completions, implement `TogetherAIChatCompletionsClient`; do not implement a Responses client that silently sends Chat Completions requests.
+Each upstream client implements one upstream wire protocol. A client must not switch or override the selected endpoint to accommodate a provider's supported protocols. Implement provider-specific clients only for protocols that the provider supports, reusing the existing protocol client where possible. For example, `GeminiChatCompletionsClient` sends Chat Completions requests; it must not present itself as a Responses client.
 
-Any desired provider-specific endpoint default, forced switch, or override belongs in the `Molto` coordinator. Resolve the effective upstream endpoint before selecting the client and deciding between native passthrough and translation. The coordinator must preserve its downstream protocol contract: a Responses request routed through `TogetherAIChatCompletionsClient` uses the Responses adapter and normalized translation path.
+Any desired provider-specific endpoint default, forced switch, or override belongs in the `Molto` coordinator. Resolve the effective upstream endpoint before selecting the client and deciding between native passthrough and translation. The coordinator must preserve its downstream protocol contract: a Responses request routed through `GeminiChatCompletionsClient` uses the Responses adapter and normalized translation path.
 
 This defines ownership of any future routing policy; it does not introduce automatic endpoint switching. The current explicit-provider behavior described above remains unchanged.
 
-Every accepted `(provider, endpoint)` route has an explicit class in `upstream/registry.py`, including thin subclasses where the shared implementation is sufficient. `Molto` selects that class once per request. Provider classes own their default destination, required credential name, authentication scheme, and protocol-specific capability adjustments; the coordinator still resolves configured credentials and explicit overrides. Together's alternative protocols and Bedrock require an explicit destination. The existing cross-vendor configurations remain available through explicitly named compatibility clients; class registration does not certify a hosted endpoint.
+Each supported `(provider, endpoint)` route has an explicit class in `upstream/registry.py`, including thin subclasses where the shared implementation is sufficient. New providers use one protocol, preferring Responses, then Messages, then Chat Completions. Together, Fireworks, OpenRouter, and Bedrock use Responses; Gemini uses Chat Completions. Existing canonical OpenAI/Anthropic clients and vLLM routes remain available. Cross-vendor aliases such as OpenAI Messages and Anthropic Responses are unsupported. `Molto` rejects an unregistered pair without switching endpoints. Provider classes own their default destination, required credential name, and protocol-specific capability adjustments; the coordinator resolves configured credentials and explicit overrides. Bedrock requires an explicit regional destination.
 
 ## Architectural goal
 
@@ -496,10 +496,8 @@ To add another downstream protocol, add an adapter that normalizes its request a
 
 ## Hosted compatibility boundaries
 
-[Hosted provider configuration and evidence](../docs/provider-compatibility.md) remain separate from endpoint selection. The coordinator chooses default URLs and required credential names; clients implement one protocol without switching it. Fireworks selects raw Chat reasoning and summary semantics for its other protocols. Bedrock requires an explicit regional URL; provider names never imply model availability.
+[Hosted provider configuration and evidence](../docs/provider-compatibility.md) remain separate from endpoint selection and model availability. Provider clients inherit the shared protocol implementation and override only demonstrated differences. Gemini repairs missing tool indices only with unambiguous identity; the generic normalizer rejects missing indices. Native history schemas have narrow Google attachment and OpenRouter reasoning-format extensions. Cross-protocol paths reject populated opaque state they cannot preserve.
 
-Together's Chat subclass selects its documented `reasoning` dialect and recognizes provider-specific semantic errors. Gemini's Chat subclass repairs missing tool indices only with unambiguous identity; the generic normalizer rejects missing indices rather than silently discarding calls. Native history schemas have narrow Google attachment and OpenRouter reasoning-format extensions. Cross-protocol paths reject populated opaque state they cannot preserve.
-
-The native recording driver never invokes Molto translation. Reviewed original exchanges, historical matched fixtures, and synthetic probes have separate provenance; a supported serializer is not evidence of live model compatibility.
+Provider conversations share `tests/upstream/test_multi_turn.py` and scenario-first `upstream_ir/` cassette names. Tests reuse actual output as history and compare independent SDK semantics. Configuration tests do not establish live provider compatibility.
 
 `OpenRouterResponsesClient` resolves `responses_reasoning="wire"` without changing the provider's interpretation of ambiguous Chat or Messages reasoning. Its Responses events explicitly identify raw text or summaries, so the client accepts either valid representation, keeps each item's representation consistent across its lifecycle, and requires signatures for completed summaries. The observed `format="unknown"` is accepted on raw output; named formats and signed/summary items carrying a format remain unsupported. Native passthrough preserves all original fields. Downstream Chat accepts unsigned raw reasoning only; Messages can project either representation. Incoming unsigned Messages thinking still follows the existing summary-input contract and rejects, so this output support does not claim a complete Messages reasoning round trip.
diff --git a/python/CONVENTIONS.md b/python/CONVENTIONS.md
index 831786d..96cc922 100644
--- a/python/CONVENTIONS.md
+++ b/python/CONVENTIONS.md
@@ -30,7 +30,7 @@ Keep these three concepts separate:
 
 Do not treat an endpoint or URL hostname as evidence about provider behavior. A coordinator may supply a documented canonical provider when the caller omits one, but an explicit provider must override that convenience default independently of the endpoint and base URL. Keep shared provider profiles in `PROVIDER_CAPABILITIES`; resolve protocol-specific adjustments through the selected client's `resolve_capabilities()` and pass that resolved profile explicitly to adapters and clients.
 
-Register an explicit class for every accepted provider/protocol combination, including thin subclasses for consistent selection and testing. Keep destination and authentication defaults on the provider client, while `Molto` resolves configured credentials and request overrides. Inherit common protocol behavior and override only the provider differences. A class for a custom compatibility route does not establish that the provider hosts that protocol.
+Add one explicit client per new provider, choosing Responses when available, then Messages, then Chat Completions. Thin subclasses are appropriate when the shared protocol implementation is sufficient. Keep destination and credential defaults on the provider client, while `Molto` resolves configured credentials and request overrides. Inherit common protocol behavior and override only demonstrated provider differences. Extend `tests/upstream/test_multi_turn.py` with actual provider recordings instead of creating a parallel conversation suite or replaying another provider's fixtures as provider evidence.
 
 Keep upstream clients specific to one supported wire protocol; never switch or override endpoints inside a client. Any desired endpoint override belongs in `Molto`, before client selection and the native-versus-translated route decision. See [endpoint selection ownership](ARCHITECTURE.md#endpoint-selection-belongs-to-the-coordinator).
 
@@ -210,7 +210,7 @@ Never record cassettes during a normal test run. New cassettes must come from an
 
 Use the following workflow when adding a feature shared by Responses and one or more other protocols:
 
-1. Record semantically equivalent Responses and counterpart protocol conversations into a staging directory such as `/tmp/molto-recordings`, outside pytest, using native SDKs independently of Molto. Retain a manifest identifying the exact provider/model/endpoint, SDK versions, settings, ordered turns, and completion status. Review all fields for secrets and private content, validate against native SDK types, then promote unchanged originals into a recorded provider directory and commit them. Create separate matched copies only after this baseline exists; raw captures must never go directly into `matched/`.
+1. Record semantically equivalent Responses and counterpart protocol conversations into a staging directory such as `/tmp/molto-recordings`, outside pytest, using native SDKs independently of Molto. Use the established scenario-first filenames, such as `upstream_ir/tool_use/togetherai-responses-stream-00.yaml`; no manifest or separate recording corpus is needed. Review all fields for secrets and private content, validate against native SDK types, then promote unchanged originals into the scenario directory and commit them. Create separate matched copies only after this baseline exists; raw captures must never go directly into `matched/`.
 2. Add or extend deterministic matching tooling when the current tooling cannot align the new scenario. Use Responses as the canonical input and modify only the non-Responses fixture fields needed to express equivalent native requests, align source-backed response values, and align observable chunk boundaries. Never copy a Responses request body into another protocol or rewrite transport metadata, and keep every transformed fixture valid native wire data.
 3. Run the matching tooling on each non-Responses cassette paired with the canonical Responses cassette.
 4. Review every resulting cassette diff before implementation. The diff must contain only intentional, representable alignment changes and must not remove meaningful native fields. If it does not, correct the matching logic and repeat the matching and review steps. Commit the reviewed matching-tool and cassette changes before implementation.
diff --git a/python/molto/adapters/openai.py b/python/molto/adapters/openai.py
index a296659..36ea9db 100644
--- a/python/molto/adapters/openai.py
+++ b/python/molto/adapters/openai.py
@@ -1091,20 +1091,11 @@ def _normalize_message(
             return [UserInput(content=[TextInput(content=content)])]
         if role == "assistant":
             items: list[Thinking | TextOutput | ToolCall] = []
-            reasoning = message.get("reasoning")
             reasoning_content = message.get("reasoning_content")
-            if reasoning and reasoning_content:
-                raise UnsupportedInput("Chat Completions cannot translate both reasoning aliases.")
-            selected_reasoning = (
-                reasoning if reasoning or reasoning_content is None else reasoning_content
-            )
-            if selected_reasoning is not None:
-                reasoning_parts = (
-                    selected_reasoning
-                    if isinstance(selected_reasoning, list)
-                    else [selected_reasoning]
-                )
-                items.extend(self._classify_thinking(part) for part in reasoning_parts)
+            if reasoning_content is not None:
+                if not isinstance(reasoning_content, str):
+                    raise UnsupportedInput("Chat Completions reasoning_content must be a string.")
+                items.append(self._classify_thinking(reasoning_content))
             items.extend(
                 TextOutput(content=part.content, cache_breakpoint=part.cache_breakpoint)
                 for part in text_parts
diff --git a/python/molto/core.py b/python/molto/core.py
index 1e11b29..41cc40c 100644
--- a/python/molto/core.py
+++ b/python/molto/core.py
@@ -13,7 +13,6 @@
     PROVIDER_KEY_NAMES,
     Endpoint,
     Provider,
-    ProviderCapabilities,
 )
 from molto.types.anthropic_messages import (
     AnthropicMessagesCreateRequest,
@@ -182,26 +181,14 @@ def _resolve_provider(endpoint: Endpoint, provider: Provider | None) -> Provider
         # endpoint cannot surface as an unrelated translation error.
         if endpoint not in DEFAULT_PROVIDER_BY_ENDPOINT:
             raise ValueError(f"Unsupported endpoint: {endpoint!r}.")
-        if provider == "gemini" and endpoint != "chat/completions":
-            raise ValueError("Gemini supports only the Chat Completions upstream.")
         if provider is not None and provider not in PROVIDER_CAPABILITIES:
             raise ValueError(f"Unsupported provider: {provider!r}.")
-        return provider or DEFAULT_PROVIDER_BY_ENDPOINT[endpoint]
-
-    @staticmethod
-    def _resolve_provider_options(
-        provider: Provider, endpoint: Endpoint, base_url: str | None
-    ) -> tuple[str | None, ProviderCapabilities]:
-        if provider == "togetherai" and endpoint != "chat/completions" and not base_url:
+        resolved_provider = provider or DEFAULT_PROVIDER_BY_ENDPOINT[endpoint]
+        if (resolved_provider, endpoint) not in CLIENTS:
             raise ValueError(
-                "Together AI requires an explicit base_url for an alternative upstream endpoint."
+                f"Unsupported upstream endpoint {endpoint!r} for provider {resolved_provider!r}."
             )
-        if provider == "bedrock" and not base_url:
-            raise ValueError("Bedrock requires an explicit regional base_url and model/profile.")
-        capabilities = CLIENTS[provider, endpoint].resolve_capabilities(
-            PROVIDER_CAPABILITIES[provider]
-        )
-        return base_url, capabilities
+        return resolved_provider
 
     async def responses(
         self,
@@ -232,11 +219,10 @@ async def responses(
         request = OpenAIResponsesCreateRequest.model_validate(body)
         resolved_provider = self._resolve_provider(endpoint, provider)
         resolved_api_key = self._resolve_api_key(resolved_provider, api_key)
-        base_url, capabilities = self._resolve_provider_options(
-            resolved_provider, endpoint, base_url
-        )
+        client_type = CLIENTS[resolved_provider, endpoint]
+        capabilities = client_type.resolve_capabilities(PROVIDER_CAPABILITIES[resolved_provider])
         upstream_headers = _upstream_headers(extra_headers)
-        upstream = CLIENTS[resolved_provider, endpoint](
+        upstream = client_type(
             self._http_client,
             api_key=resolved_api_key,
             base_url=base_url,
@@ -283,11 +269,10 @@ async def chat_completions(
         request = OpenAIChatCompletionsCreateRequest.model_validate(body)
         resolved_provider = self._resolve_provider(endpoint, provider)
         resolved_api_key = self._resolve_api_key(resolved_provider, api_key)
-        base_url, capabilities = self._resolve_provider_options(
-            resolved_provider, endpoint, base_url
-        )
+        client_type = CLIENTS[resolved_provider, endpoint]
+        capabilities = client_type.resolve_capabilities(PROVIDER_CAPABILITIES[resolved_provider])
         upstream_headers = _upstream_headers(extra_headers)
-        upstream = CLIENTS[resolved_provider, endpoint](
+        upstream = client_type(
             self._http_client,
             api_key=resolved_api_key,
             base_url=base_url,
@@ -333,11 +318,10 @@ async def messages(
         request = AnthropicMessagesCreateRequest.model_validate(body)
         resolved_provider = self._resolve_provider(endpoint, provider)
         resolved_api_key = self._resolve_api_key(resolved_provider, api_key)
-        base_url, capabilities = self._resolve_provider_options(
-            resolved_provider, endpoint, base_url
-        )
+        client_type = CLIENTS[resolved_provider, endpoint]
+        capabilities = client_type.resolve_capabilities(PROVIDER_CAPABILITIES[resolved_provider])
         upstream_headers = _upstream_headers(extra_headers)
-        upstream = CLIENTS[resolved_provider, endpoint](
+        upstream = client_type(
             self._http_client,
             api_key=resolved_api_key,
             base_url=base_url,
diff --git a/python/molto/types/anthropic_messages.py b/python/molto/types/anthropic_messages.py
index 6296a49..657d14f 100644
--- a/python/molto/types/anthropic_messages.py
+++ b/python/molto/types/anthropic_messages.py
@@ -19,7 +19,7 @@
     ToolChoiceParam,
     ToolUnionParam,
 )
-from pydantic import Field, SerializationInfo, TypeAdapter, field_serializer
+from pydantic import Field, TypeAdapter
 from typing_extensions import NotRequired, Required, TypedDict
 
 from molto.types.base import ExcludeNoneModel
@@ -41,7 +41,6 @@ class AnthropicThinkingBlockParam(TypedDict):
     *_RETAINED_CONTENT_BLOCKS,  # pyright: ignore[reportInvalidTypeForm]
     ContentBlock,
 ]
-_CONTENT_ADAPTER = TypeAdapter(str | list[AnthropicContentBlockParam])
 
 
 class AnthropicMessageParam(ExcludeNoneModel):
@@ -56,21 +55,6 @@ class AnthropicMessageParam(ExcludeNoneModel):
         Field(description="The role that produced the conversation turn."),
     ]
 
-    @field_serializer("content")
-    def serialize_content(self, content, info: SerializationInfo):
-        # Explicit block nulls (such as citations and tool callers) are native
-        # history values; unset optional request parameters still stay omitted.
-        return _CONTENT_ADAPTER.dump_python(
-            content,
-            mode=info.mode,
-            include=info.include,
-            exclude=info.exclude,
-            by_alias=info.by_alias,
-            exclude_unset=info.exclude_unset,
-            exclude_defaults=info.exclude_defaults,
-            exclude_none=False,
-        )
-
 
 class AnthropicMessagesCreateRequest(ExcludeNoneModel):
     """The JSON parameters accepted by `AsyncAnthropic.messages.create`."""
diff --git a/python/molto/types/openai_chat_completions.py b/python/molto/types/openai_chat_completions.py
index f994ac5..c2741fe 100644
--- a/python/molto/types/openai_chat_completions.py
+++ b/python/molto/types/openai_chat_completions.py
@@ -111,8 +111,6 @@ class ChatCompletionRefusalPartParam(ChatCompletionContentPartRefusalParam):
 class ChatCompletionFunctionToolCallParam(ChatCompletionMessageFunctionToolCallParam):
     """A function call retaining provider continuation fields."""
 
-    # Fireworks emits a null outer name; the required function.name owns identity.
-    name: NotRequired[None]
     extra_content: NotRequired[GoogleExtraContent]
 
 
@@ -128,12 +126,9 @@ class ChatCompletionAssistantMessageWithReasoningParam(ChatCompletionAssistantMe
     """Provider-compatible assistant message containing either raw reasoning or summary."""
 
     reasoning_content: NotRequired[str]
-    reasoning: NotRequired[str | list[str]]
-    # Fireworks returns this empty output placeholder and accepts it in history.
-    tools: NotRequired[None]
     extra_content: NotRequired[GoogleExtraContent]
     tool_calls: NotRequired[
-        list[ChatCompletionFunctionToolCallParam | ChatCompletionMessageCustomToolCallParam] | None
+        list[ChatCompletionFunctionToolCallParam | ChatCompletionMessageCustomToolCallParam]
     ]
     content: NotRequired[
         str | list[ChatCompletionTextPartParam | ChatCompletionRefusalPartParam] | None
diff --git a/python/molto/upstream/anthropic.py b/python/molto/upstream/anthropic.py
index b30aa04..e2fab59 100644
--- a/python/molto/upstream/anthropic.py
+++ b/python/molto/upstream/anthropic.py
@@ -3,10 +3,9 @@
 from collections.abc import AsyncIterator
 from contextlib import aclosing
 from dataclasses import dataclass
-from os import environ
 from typing import Any, NoReturn
 
-from anthropic import APIStatusError, AsyncAnthropic, AsyncStream, omit
+from anthropic import APIStatusError, AsyncAnthropic, AsyncStream
 from anthropic import AuthenticationError as AnthropicAuthenticationError
 from anthropic import BadRequestError as AnthropicBadRequestError
 from anthropic import NotFoundError as AnthropicNotFoundError
@@ -314,33 +313,10 @@ class AnthropicMessagesClient(
     DEFAULT_BASE_URL = "https://api.anthropic.com"
 
     def _make_anthropic_client(self) -> AsyncAnthropic:
-        if self._required_api_key and not self._api_key:
-            raise TypeError(
-                '"Could not resolve authentication method. '
-                f"Set {self._required_api_key} or pass api_key."
-            )
-        default_headers = None
-        if self._required_api_key:
-            # The SDK merges ANTHROPIC_CUSTOM_HEADERS case-sensitively after
-            # authentication. Omit every supplied spelling before installing
-            # the selected hosted provider's credential and auth scheme.
-            default_headers = {
-                line.partition(":")[0].strip(): omit
-                for line in environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
-                if line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
-            }
-            default_headers.update(
-                {
-                    "Authorization": f"Bearer {self._api_key}" if self._bearer_auth else omit,
-                    "X-Api-Key": omit if self._bearer_auth else self._api_key,
-                }
-            )
         return AsyncAnthropic(
-            api_key=None if self._bearer_auth else self._api_key,
-            auth_token=self._api_key if self._bearer_auth else None,
+            api_key=self._api_key,
             base_url=self._base_url or self.DEFAULT_BASE_URL,
             http_client=self._http_client,
-            default_headers=default_headers,
         )
 
     async def native_events(
diff --git a/python/molto/upstream/base.py b/python/molto/upstream/base.py
index d5d3024..ff76a91 100644
--- a/python/molto/upstream/base.py
+++ b/python/molto/upstream/base.py
@@ -23,7 +23,6 @@ class BaseClient[
 ](ABC):
     DEFAULT_BASE_URL: str
     REQUIRED_API_KEY: str | None = None
-    BEARER_AUTH = False
     REQUIRES_BASE_URL = False
 
     @classmethod
@@ -40,8 +39,6 @@ def __init__(
         base_url: str | None = None,
         extra_body: Mapping[str, Any] | None = None,
         extra_headers: Mapping[str, str] | None = None,
-        required_api_key: str | None = None,
-        bearer_auth: bool | None = None,
     ) -> None:
         if self.REQUIRES_BASE_URL and not base_url:
             raise ValueError(f"{type(self).__name__} requires an explicit base_url.")
@@ -51,8 +48,6 @@ def __init__(
         self._capabilities = self.resolve_capabilities(capabilities)
         self._extra_body = extra_body
         self._extra_headers = extra_headers
-        self._required_api_key = required_api_key or self.REQUIRED_API_KEY
-        self._bearer_auth = self.BEARER_AUTH if bearer_auth is None else bearer_auth
         self.response_headers = Headers()
 
     def _capture_response_headers(self, headers: Headers) -> None:
@@ -60,10 +55,8 @@ def _capture_response_headers(self, headers: Headers) -> None:
         self.response_headers.update(headers)
 
     def _make_sdk_client(self) -> AsyncOpenAI:
-        if self._required_api_key and not self._api_key:
-            raise OpenAIError(
-                f"Missing credentials. Set {self._required_api_key} or pass api_key."
-            )
+        if self.REQUIRED_API_KEY and not self._api_key:
+            raise OpenAIError(f"Missing credentials. Set {self.REQUIRED_API_KEY} or pass api_key.")
         return AsyncOpenAI(
             api_key=self._api_key,
             base_url=self._base_url or self.DEFAULT_BASE_URL,
diff --git a/python/molto/upstream/bedrock.py b/python/molto/upstream/bedrock.py
index adf9c3d..be6e6b9 100644
--- a/python/molto/upstream/bedrock.py
+++ b/python/molto/upstream/bedrock.py
@@ -1,20 +1,8 @@
 """Bedrock API-key clients; callers supply the regional protocol destination."""
 
-from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+from molto.upstream.openai import OpenAIResponsesClient
 
 
 class BedrockResponsesClient(OpenAIResponsesClient):
     REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
     REQUIRES_BASE_URL = True
-
-
-class BedrockChatCompletionsClient(OpenAIChatCompletionsClient):
-    REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
-    REQUIRES_BASE_URL = True
-
-
-class BedrockMessagesClient(AnthropicMessagesClient):
-    REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
-    REQUIRES_BASE_URL = True
-    BEARER_AUTH = True
diff --git a/python/molto/upstream/compatible.py b/python/molto/upstream/compatible.py
deleted file mode 100644
index 0125359..0000000
--- a/python/molto/upstream/compatible.py
+++ /dev/null
@@ -1,20 +0,0 @@
-"""Explicit identities for existing cross-vendor protocol configurations.
-
-These classes preserve configurable routes, not claims that a vendor hosts a
-particular endpoint. Keeping them together avoids circular canonical imports.
-"""
-
-from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
-
-
-class OpenAIMessagesClient(AnthropicMessagesClient):
-    """Messages wire implementation with the OpenAI provider profile."""
-
-
-class AnthropicResponsesClient(OpenAIResponsesClient):
-    """Responses wire implementation with the Anthropic provider profile."""
-
-
-class AnthropicChatCompletionsClient(OpenAIChatCompletionsClient):
-    """Chat Completions wire implementation with the Anthropic provider profile."""
diff --git a/python/molto/upstream/fireworks.py b/python/molto/upstream/fireworks.py
index 4456b6a..65265bc 100644
--- a/python/molto/upstream/fireworks.py
+++ b/python/molto/upstream/fireworks.py
@@ -1,26 +1,8 @@
-"""Fireworks clients for each explicitly selected upstream protocol."""
+"""Fireworks Responses transport."""
 
-from dataclasses import replace
-
-from molto.providers import ProviderCapabilities
-from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+from molto.upstream.openai import OpenAIResponsesClient
 
 
 class FireworksResponsesClient(OpenAIResponsesClient):
     DEFAULT_BASE_URL = "https://api.fireworks.ai/inference/v1"
     REQUIRED_API_KEY = "FIREWORKS_API_KEY"
-
-
-class FireworksChatCompletionsClient(OpenAIChatCompletionsClient):
-    DEFAULT_BASE_URL = "https://api.fireworks.ai/inference/v1"
-    REQUIRED_API_KEY = "FIREWORKS_API_KEY"
-
-    @classmethod
-    def resolve_capabilities(cls, capabilities: ProviderCapabilities) -> ProviderCapabilities:
-        return replace(capabilities, thinking="raw")
-
-
-class FireworksMessagesClient(AnthropicMessagesClient):
-    DEFAULT_BASE_URL = "https://api.fireworks.ai/inference"
-    REQUIRED_API_KEY = "FIREWORKS_API_KEY"
diff --git a/python/molto/upstream/openai.py b/python/molto/upstream/openai.py
index ffe20d5..38ec79b 100644
--- a/python/molto/upstream/openai.py
+++ b/python/molto/upstream/openai.py
@@ -769,7 +769,6 @@ class OpenAIChatCompletionsClient(
     """OpenAI Chat Completions transport for native and normalized streaming paths."""
 
     DEFAULT_BASE_URL = "https://api.openai.com/v1"
-    REASONING_FIELD = "reasoning_content"
 
     async def native_events(
         self, request: OpenAIChatCompletionsCreateRequest
@@ -810,8 +809,8 @@ async def native_response(
         except Exception as error:
             self._handle_error(error)
 
-    @classmethod
-    def _assistant_message(cls, parts: list[Thinking | TextOutput | ToolCall]) -> dict[str, Any]:
+    @staticmethod
+    def _assistant_message(parts: list[Thinking | TextOutput | ToolCall]) -> dict[str, Any]:
         message: dict[str, Any] = {"role": "assistant"}
         reasoning_parts: list[str] = []
         text_parts: list[dict[str, Any]] = []
@@ -851,15 +850,15 @@ def _assistant_message(cls, parts: list[Thinking | TextOutput | ToolCall]) -> di
                     }
                 )
         if reasoning_parts:
-            message[cls.REASONING_FIELD] = "\n".join(reasoning_parts)
+            message["reasoning_content"] = "\n".join(reasoning_parts)
         if len(text_parts) == 1 and "prompt_cache_breakpoint" not in text_parts[0]:
             message["content"] = text_parts[0]["text"]
         elif text_parts or not parts:
             message["content"] = text_parts
         return message
 
-    @classmethod
-    def _messages(cls, request: NormalizedRequest) -> list[dict[str, Any]]:
+    @staticmethod
+    def _messages(request: NormalizedRequest) -> list[dict[str, Any]]:
         messages: list[dict[str, Any]] = []
         assistant_parts: list[Thinking | TextOutput | ToolCall] = []
         explicit_assistant = False
@@ -870,7 +869,7 @@ def _messages(cls, request: NormalizedRequest) -> list[dict[str, Any]]:
         def flush_assistant() -> None:
             nonlocal explicit_assistant
             if explicit_assistant or assistant_parts:
-                messages.append(cls._assistant_message(assistant_parts))
+                messages.append(OpenAIChatCompletionsClient._assistant_message(assistant_parts))
                 assistant_parts.clear()
                 explicit_assistant = False
 
@@ -1124,15 +1123,7 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
                         for attachment in (choice.delta, *(choice.delta.tool_calls or []))
                     ):
                         raise ValueError("Chat Completions extra_content cannot be translated.")
-                    reasoning_delta = getattr(choice.delta, self.REASONING_FIELD, None)
-                    alternate_reasoning_field = (
-                        "reasoning_content" if self.REASONING_FIELD == "reasoning" else "reasoning"
-                    )
-                    if getattr(choice.delta, alternate_reasoning_field, None):
-                        raise ValueError(
-                            f"Chat Completions reasoning field {alternate_reasoning_field!r} "
-                            f"cannot be translated with the {self.REASONING_FIELD!r} dialect."
-                        )
+                    reasoning_delta = getattr(choice.delta, "reasoning_content", None)
                     # Reasoning and text may interleave: a non-empty reasoning chunk
                     # ends an active text part and starts a new thinking part. Empty
                     # reasoning chunks carry nothing and never start or switch parts.
diff --git a/python/molto/upstream/openrouter.py b/python/molto/upstream/openrouter.py
index c3c3de8..7c91eee 100644
--- a/python/molto/upstream/openrouter.py
+++ b/python/molto/upstream/openrouter.py
@@ -1,29 +1,16 @@
-"""OpenRouter transports with protocol-specific reasoning interpretation."""
+"""OpenRouter Responses transport and explicit reasoning interpretation."""
 
 from dataclasses import replace
 from typing import Any
 
 from molto.providers import ProviderCapabilities
 from molto.types.normalized import Thinking
-from molto.upstream.anthropic import AnthropicMessagesClient
 from molto.upstream.openai import (
-    OpenAIChatCompletionsClient,
     OpenAIResponsesClient,
     _reasoning_part,
 )
 
 
-class OpenRouterChatCompletionsClient(OpenAIChatCompletionsClient):
-    DEFAULT_BASE_URL = "https://openrouter.ai/api/v1"
-    REQUIRED_API_KEY = "OPENROUTER_API_KEY"
-
-
-class OpenRouterMessagesClient(AnthropicMessagesClient):
-    DEFAULT_BASE_URL = "https://openrouter.ai/api"
-    REQUIRED_API_KEY = "OPENROUTER_API_KEY"
-    BEARER_AUTH = True
-
-
 class OpenRouterResponsesClient(OpenAIResponsesClient):
     DEFAULT_BASE_URL = "https://openrouter.ai/api/v1"
     REQUIRED_API_KEY = "OPENROUTER_API_KEY"
diff --git a/python/molto/upstream/registry.py b/python/molto/upstream/registry.py
index c34b9e8..0cb5a67 100644
--- a/python/molto/upstream/registry.py
+++ b/python/molto/upstream/registry.py
@@ -3,56 +3,24 @@
 from molto.providers import Endpoint, Provider
 from molto.upstream.anthropic import AnthropicMessagesClient
 from molto.upstream.base import BaseClient
-from molto.upstream.bedrock import (
-    BedrockChatCompletionsClient,
-    BedrockMessagesClient,
-    BedrockResponsesClient,
-)
-from molto.upstream.compatible import (
-    AnthropicChatCompletionsClient,
-    AnthropicResponsesClient,
-    OpenAIMessagesClient,
-)
-from molto.upstream.fireworks import (
-    FireworksChatCompletionsClient,
-    FireworksMessagesClient,
-    FireworksResponsesClient,
-)
+from molto.upstream.bedrock import BedrockResponsesClient
+from molto.upstream.fireworks import FireworksResponsesClient
 from molto.upstream.gemini import GeminiChatCompletionsClient
 from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
-from molto.upstream.openrouter import (
-    OpenRouterChatCompletionsClient,
-    OpenRouterMessagesClient,
-    OpenRouterResponsesClient,
-)
-from molto.upstream.together import (
-    TogetherAIChatCompletionsClient,
-    TogetherAIMessagesClient,
-    TogetherAIResponsesClient,
-)
+from molto.upstream.openrouter import OpenRouterResponsesClient
+from molto.upstream.together import TogetherAIResponsesClient
 from molto.upstream.vllm import VLLMChatCompletionsClient, VLLMMessagesClient, VLLMResponsesClient
 
 CLIENTS: dict[tuple[Provider, Endpoint], type[BaseClient]] = {
     ("openai", "responses"): OpenAIResponsesClient,
     ("openai", "chat/completions"): OpenAIChatCompletionsClient,
-    ("openai", "messages"): OpenAIMessagesClient,
-    ("anthropic", "responses"): AnthropicResponsesClient,
-    ("anthropic", "chat/completions"): AnthropicChatCompletionsClient,
     ("anthropic", "messages"): AnthropicMessagesClient,
     ("vllm", "responses"): VLLMResponsesClient,
     ("vllm", "chat/completions"): VLLMChatCompletionsClient,
     ("vllm", "messages"): VLLMMessagesClient,
     ("bedrock", "responses"): BedrockResponsesClient,
-    ("bedrock", "chat/completions"): BedrockChatCompletionsClient,
-    ("bedrock", "messages"): BedrockMessagesClient,
     ("fireworks", "responses"): FireworksResponsesClient,
-    ("fireworks", "chat/completions"): FireworksChatCompletionsClient,
-    ("fireworks", "messages"): FireworksMessagesClient,
     ("openrouter", "responses"): OpenRouterResponsesClient,
-    ("openrouter", "chat/completions"): OpenRouterChatCompletionsClient,
-    ("openrouter", "messages"): OpenRouterMessagesClient,
     ("togetherai", "responses"): TogetherAIResponsesClient,
-    ("togetherai", "chat/completions"): TogetherAIChatCompletionsClient,
-    ("togetherai", "messages"): TogetherAIMessagesClient,
     ("gemini", "chat/completions"): GeminiChatCompletionsClient,
 }
diff --git a/python/molto/upstream/together.py b/python/molto/upstream/together.py
index 0fc6c6a..98d4dab 100644
--- a/python/molto/upstream/together.py
+++ b/python/molto/upstream/together.py
@@ -1,42 +1,8 @@
-"""Together's documented Chat Completions transport and reasoning dialect."""
+"""Together Responses transport using the shared OpenAI wire implementation."""
 
-from typing import NoReturn
-
-from openai import APIStatusError, BadRequestError
-
-from molto.types.exceptions import ContextLengthExceededError, ModelNotFoundError
-from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
-
-
-class TogetherAIChatCompletionsClient(OpenAIChatCompletionsClient):
-    DEFAULT_BASE_URL = "https://api.together.ai/v1"
-    REASONING_FIELD = "reasoning"
-    REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
-
-    def _handle_error(self, error: Exception) -> NoReturn:
-        if isinstance(error, BadRequestError) and (
-            "is longer than the model's context length" in error.message
-        ):
-            raise ContextLengthExceededError(
-                error.message, response=error.response, body=error.body
-            ) from error
-        if isinstance(error, APIStatusError) and error.code == "model_not_available":
-            raise ModelNotFoundError(
-                error.message, response=error.response, body=error.body
-            ) from error
-        super()._handle_error(error)
+from molto.upstream.openai import OpenAIResponsesClient
 
 
 class TogetherAIResponsesClient(OpenAIResponsesClient):
-    """Explicit custom Responses destination; no hosted Together endpoint is assumed."""
-
-    REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
-    REQUIRES_BASE_URL = True
-
-
-class TogetherAIMessagesClient(AnthropicMessagesClient):
-    """Explicit custom Messages destination; no hosted Together endpoint is assumed."""
-
+    DEFAULT_BASE_URL = "https://api.together.ai/v1"
     REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
-    REQUIRES_BASE_URL = True
diff --git a/python/molto/utils/test.py b/python/molto/utils/test.py
index 7b22fca..1b04750 100644
--- a/python/molto/utils/test.py
+++ b/python/molto/utils/test.py
@@ -67,45 +67,6 @@ def assert_contains_expected(actual: Any, expected: Any, path: str = "$") -> Non
         assert actual == expected, f"Value mismatch at {path}: {actual!r} != {expected!r}"
 
 
-def assert_chat_choice_matches(actual: dict[str, Any], expected: dict[str, Any]) -> None:
-    """Compare Chat choices without discarding or trusting duplicated provider text."""
-    assert "delta" in actual and "delta" in expected
-    for key in actual.keys() | expected.keys():
-        if key == "text":
-            # Together may send {"text": "Hi", "delta": {"content": "Hi"}},
-            # while translated Chat only has delta. Check the duplicate so a
-            # contradictory text value cannot disappear from the comparison.
-            for choice in (actual, expected):
-                if "text" in choice:
-                    assert choice["text"] == (choice["delta"].get("content") or ""), (
-                        "Choice text must equal delta.content"
-                    )
-        else:
-            assert key in actual and key in expected, f"Missing choice field: {key}"
-            assert actual[key] == expected[key], f"Choice field mismatch: {key}"
-
-
-def assert_chat_completions_chunks_match(
-    actual: list[dict[str, Any]], expected: list[dict[str, Any]]
-) -> None:
-    """Compare reconstructed chunks exactly except for verified duplicate choice text."""
-    assert len(actual) == len(expected), "Chat chunk counts differ"
-    for actual_chunk, expected_chunk in zip(actual, expected, strict=True):
-        assert actual_chunk.keys() == expected_chunk.keys(), "Chat chunk fields differ"
-        for key in actual_chunk:
-            if key == "choices":
-                actual_choices, expected_choices = actual_chunk[key], expected_chunk[key]
-                assert len(actual_choices) == len(expected_choices), "Chat choice counts differ"
-                for actual_choice, expected_choice in zip(
-                    actual_choices, expected_choices, strict=True
-                ):
-                    assert_chat_choice_matches(actual_choice, expected_choice)
-            else:
-                assert actual_chunk[key] == expected_chunk[key], (
-                    f"Chat chunk field mismatch: {key}"
-                )
-
-
 def reconstructable_chat_completions_chunks(
     sse: str,
     body: dict[str, Any],
@@ -127,26 +88,14 @@ def reconstructable_chat_completions_chunks(
         # TODO: Remove this as soon as we support logprobs
         if choice.get("logprobs") in (None, ""):
             choice.pop("logprobs", None)
-        delta = choice["delta"]
-        for field_name in ("content", "refusal", "reasoning_content", "reasoning", "token_id"):
-            if delta.get(field_name) in (None, ""):
-                delta.pop(field_name, None)
-        # Native Together uses reasoning; translated Chat uses reasoning_content.
-        if "reasoning" in delta and "reasoning_content" not in delta:
-            delta["reasoning_content"] = delta.pop("reasoning")
-        for tool in delta.get("tool_calls") or []:
-            # Function type can be repeated or omitted on argument continuations;
-            # SDK validation already limits this field to the function variant.
-            tool["type"] = tool.get("type") or "function"
-            if tool.get("id") is None:
-                tool.pop("id", None)
-            function = tool.get("function")
-            if isinstance(function, dict) and function.get("name") is None:
-                function.pop("name", None)
+        if choice["finish_reason"] is not None:
+            delta = choice["delta"]
+            for field_name in ("content", "reasoning_content"):
+                if delta.get(field_name) in (None, ""):
+                    delta.pop(field_name, None)
 
     usage = chunk.get("usage")
     if not isinstance(usage, dict):
-        chunk["usage"] = None
         return [chunk]
 
     prompt_details = usage.get("prompt_tokens_details") or {}
diff --git a/scripts/record_native_conversation.py b/scripts/record_native_conversation.py
deleted file mode 100644
index 3e650a4..0000000
--- a/scripts/record_native_conversation.py
+++ /dev/null
@@ -1,359 +0,0 @@
-#!/usr/bin/env python3
-"""Record native Responses or Messages conversations independently of Molto.
-
-Use the Chat driver for Chat Completions. This companion retains actual Responses
-output or SDK-collected Messages blocks as history and stops on incomplete turns.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from anthropic import AsyncAnthropic
-from anthropic import omit as anthropic_omit
-from dotenv import load_dotenv
-from openai import AsyncOpenAI, omit
-
-from scripts import record_provider_conversation, recorder_proxy
-from scripts.record_provider_conversation import validate_turn
-
-
-def initial_history(protocol: str, scenario: str) -> list[dict]:
-    if scenario == "text":
-        part_type = "input_text" if protocol == "responses" else "text"
-        return [
-            {
-                "role": "user",
-                "content": [
-                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
-                    {"type": part_type, "text": "Reply briefly."},
-                ],
-            }
-        ]
-    prompt = (
-        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
-        if scenario == "tools"
-        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-    )
-    return [{"role": "user", "content": prompt}]
-
-
-def request_body(args, history: list[dict], turn: int) -> dict:
-    body = {"model": args.model}
-    if args.extra_body is not None:
-        body["extra_body"] = args.extra_body
-    schema = {
-        "type": "object",
-        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
-        "required": ["a", "b"],
-        "additionalProperties": False,
-    }
-    final = turn == (2 if args.scenario == "tools" else 1)
-    if args.protocol == "responses":
-        body.update(
-            input=history,
-            store=False,
-            max_output_tokens=args.max_tokens,
-            reasoning={"effort": args.reasoning},
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {
-                    "type": "function",
-                    "name": "add",
-                    "description": "Add two integers.",
-                    "parameters": schema,
-                }
-            ]
-            body["tool_choice"] = (
-                "none"
-                if final
-                else "required"
-                if args.scenario == "parallel"
-                else {"type": "function", "name": "add"}
-            )
-            body["parallel_tool_calls"] = args.scenario == "parallel"
-    else:
-        body.update(messages=history, max_tokens=args.max_tokens)
-        body["thinking"] = (
-            {"type": "disabled"}
-            if args.reasoning == "none"
-            else {"type": "enabled", "budget_tokens": 1024}
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {"name": "add", "description": "Add two integers.", "input_schema": schema}
-            ]
-            body["tool_choice"] = (
-                {"type": "none"}
-                if final
-                else {"type": "auto"}
-                if args.reasoning != "none"
-                else {"type": "any", "disable_parallel_tool_use": False}
-                if args.scenario == "parallel"
-                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
-            )
-    return body
-
-
-async def result_and_history(client, args, body: dict):
-    if args.protocol == "responses":
-        result = await client.responses.create(**body, stream=args.stream)
-        if args.stream:
-            terminal = None
-            async with result:
-                async for event in result:
-                    if event.type in {
-                        "response.completed",
-                        "response.incomplete",
-                        "response.failed",
-                    }:
-                        if terminal is not None:
-                            raise ValueError("Multiple Responses terminal events.")
-                        terminal = event.response
-            if terminal is None:
-                raise ValueError("Responses stream has no terminal result.")
-            result = terminal
-        if result.status != "completed":
-            raise ValueError("Responses result did not complete.")
-        content = [item.model_dump(exclude_unset=True) for item in result.output]
-        calls = [
-            {
-                "id": item["call_id"],
-                "type": "function",
-                "function": {"name": item["name"], "arguments": item["arguments"]},
-            }
-            for item in content
-            if item["type"] == "function_call"
-        ]
-        text = "".join(
-            part["text"]
-            for item in content
-            if item["type"] == "message"
-            for part in item["content"]
-            if part["type"] == "output_text"
-        )
-        reason = "tool_calls" if calls else "stop"
-        history = content
-    else:
-        if args.stream:
-            async with client.messages.stream(**body) as stream:
-                stops = 0
-                async for event in stream:
-                    if event.type == "message_stop":
-                        stops += 1
-                if stops != 1:
-                    raise ValueError("Messages stream must contain exactly one message_stop.")
-                result = await stream.get_final_message()
-        else:
-            result = await client.messages.create(**body, stream=False)
-        content = [
-            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
-            for part in result.content
-        ]
-        calls = [
-            {
-                "id": part["id"],
-                "type": "function",
-                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
-            }
-            for part in content
-            if part["type"] == "tool_use"
-        ]
-        text = "".join(part["text"] for part in content if part["type"] == "text")
-        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
-            result.stop_reason, result.stop_reason
-        )
-        history = [{"role": "assistant", "content": content}]
-    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
-
-
-async def record(args) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    if args.protocol == "messages" and any(
-        line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
-        for line in os.environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
-    ):
-        raise ValueError(
-            "Remove authentication entries from ANTHROPIC_CUSTOM_HEADERS before recording."
-        )
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "source_hashes": {
-            name: sha256(Path(path).read_bytes()).hexdigest()
-            for name, path in {
-                "driver_sha256": __file__,
-                "recorder_sha256": recorder_proxy.__file__,
-                "validation_sha256": record_provider_conversation.__file__,
-            }.items()
-        },
-        "provider": args.provider,
-        "upstream_protocol": args.protocol,
-        "upstream_url": args.base_url.rstrip("/")
-        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
-        "requested_model": args.model,
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "reasoning_setting": args.reasoning,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "authentication": f"{'Bearer' if args.protocol == 'responses' or args.auth == 'bearer' else 'x-api-key'} credential from {args.key_env}; value excluded",
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-        "turns": [],
-        "status": "incomplete",
-    }
-    history = initial_history(args.protocol, args.scenario)
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
-            auth = {"api_key": key}
-            if args.protocol == "messages":
-                auth = {
-                    "api_key": None if args.auth == "bearer" else key,
-                    "auth_token": key if args.auth == "bearer" else None,
-                }
-            async with client_type(
-                **auth,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                default_headers=(
-                    {
-                        "Authorization": f"Bearer {key}",
-                        "OpenAI-Organization": omit,
-                        "OpenAI-Project": omit,
-                    }
-                    if args.protocol == "responses"
-                    else {
-                        "Authorization": f"Bearer {key}"
-                        if args.auth == "bearer"
-                        else anthropic_omit,
-                        "X-Api-Key": anthropic_omit if args.auth == "bearer" else key,
-                    }
-                ),
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(info)
-                    try:
-                        result, output, validation, reason = await result_and_history(
-                            client, args, request_body(args, history, turn)
-                        )
-                        info["returned_model"] = result.model
-                        info["finish_reason"] = reason
-                        validate_turn(validation, reason, args.scenario, turn)
-                        history.extend(output)
-                        tool_results = []
-                        for call in validation["tool_calls"]:
-                            values = json.loads(call["function"]["arguments"])
-                            answer = str(values["a"] + values["b"])
-                            if args.protocol == "responses":
-                                history.append(
-                                    {
-                                        "type": "function_call_output",
-                                        "call_id": call["id"],
-                                        "output": answer,
-                                    }
-                                )
-                            else:
-                                tool_results.append(
-                                    {
-                                        "type": "tool_result",
-                                        "tool_use_id": call["id"],
-                                        "content": answer,
-                                    }
-                                )
-                        if tool_results:
-                            history.append({"role": "user", "content": tool_results})
-                        if args.scenario == "text" and turn == 0:
-                            part_type = "input_text" if args.protocol == "responses" else "text"
-                            history.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": part_type, "text": "Repeat the phrase"},
-                                        {
-                                            "type": part_type,
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        info["status"] = "complete"
-                    finally:
-                        info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(
-        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
-    )
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--auth", choices=("api-key", "bearer"), default="api-key")
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/scripts/record_provider_conversation.py b/scripts/record_provider_conversation.py
deleted file mode 100644
index db4adb4..0000000
--- a/scripts/record_provider_conversation.py
+++ /dev/null
@@ -1,367 +0,0 @@
-#!/usr/bin/env python3
-"""Record controlled native Chat conversations independently of Molto translation.
-
-Run explicitly outside pytest. Each invocation creates a fresh staging directory;
-review its original recordings before promotion. SDK accumulation failures are
-evidence, and deliberately stop the conversation instead of repairing history.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from dotenv import load_dotenv
-from openai import AsyncOpenAI
-from openai.lib.streaming.chat import ChatCompletionStreamState
-
-from scripts import recorder_proxy
-
-
-def assistant_history(message, events: list[dict] | None = None) -> dict:
-    """Remove only SDK bookkeeping and empty output-only annotations."""
-    history = message.model_dump(exclude_unset=True)
-    history.pop("parsed", None)
-    if events is not None:
-        emitted = {
-            field for event in events for choice in event["choices"] for field in choice["delta"]
-        }
-        # Fireworks rejects these SDK-created nulls when they were absent on wire.
-        for field in ("annotations", "audio", "function_call"):
-            if history.get(field) is None and field not in emitted:
-                history.pop(field, None)
-    if history.get("annotations") == []:
-        history.pop("annotations")
-    for call in history.get("tool_calls") or []:
-        call.pop("index", None)
-        if "function" in call:
-            call["function"].pop("parsed_arguments", None)
-    return history
-
-
-def accumulation_chunk(event, roles: dict[int, str]):
-    """Remove repeated role snapshots from a copy before SDK string accumulation."""
-    chunk = event.model_copy(deep=True)
-    for choice in chunk.choices:
-        role = choice.delta.role
-        if role is None:
-            continue
-        previous = roles.get(choice.index)
-        if previous is not None and role != previous:
-            raise ValueError("Provider changed the role during a streamed choice.")
-        if previous is not None:
-            # Together repeats the complete role, whereas the SDK concatenates strings.
-            choice.delta = type(choice.delta).model_validate(
-                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
-            )
-        roles[choice.index] = role
-    return chunk
-
-
-def verify_accumulation(events: list[dict], history: dict) -> None:
-    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
-    reasoning = {"reasoning": [], "reasoning_content": []}
-    details: dict[int, dict] = {}
-    for event in events:
-        for choice in event["choices"]:
-            if choice["index"] != 0:
-                raise ValueError("The recording scenario requires exactly one choice.")
-            delta = choice["delta"]
-            for detail in delta.get("reasoning_details") or []:
-                index = detail.get("index")
-                if type(index) is not int or detail.get("type") not in {
-                    "reasoning.text",
-                    "reasoning.summary",
-                }:
-                    raise ValueError("Cannot independently verify this reasoning_details shape.")
-                collected_detail = details.setdefault(index, {})
-                for field, value in detail.items():
-                    if field in {"text", "summary"} and isinstance(value, str):
-                        collected_detail[field] = collected_detail.get(field, "") + value
-                    elif field not in collected_detail or collected_detail[field] == value:
-                        collected_detail[field] = value
-                    else:
-                        raise ValueError("Provider changed reasoning_details metadata.")
-            if delta.get("role") is not None and delta["role"] != history.get("role"):
-                raise ValueError("Accumulated role differs from the original provider metadata.")
-            for field, fragments in reasoning.items():
-                if delta.get(field) is not None:
-                    if not isinstance(delta[field], str):
-                        raise ValueError(
-                            "Cannot independently accumulate non-string reasoning deltas."
-                        )
-                    fragments.append(delta[field])
-            owners = [(delta, history)]
-            for call in delta.get("tool_calls") or []:
-                owners.append((call, history["tool_calls"][call["index"]]))
-            for source, collected in owners:
-                if "extra_content" in source and source["extra_content"] != collected.get(
-                    "extra_content"
-                ):
-                    raise ValueError(
-                        "SDK accumulation changed an opaque extra_content attachment."
-                    )
-    for field, fragments in reasoning.items():
-        if fragments and history.get(field) != "".join(fragments):
-            raise ValueError("SDK accumulation changed reasoning history.")
-    if details and history.get("reasoning_details") != list(details.values()):
-        raise ValueError("SDK accumulation changed reasoning_details history.")
-
-
-def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
-    """Require the complete requested conversation before marking provider evidence complete."""
-    if history.get("role") != "assistant":
-        raise ValueError("SDK accumulation did not retain the assistant role.")
-    calls = history.get("tool_calls") or []
-    expected = []
-    if scenario == "tools" and turn < 2:
-        expected = [[2, 3]] if turn == 0 else [[4, 5]]
-    elif scenario == "parallel" and turn == 0:
-        expected = [[2, 3], [4, 7]]
-    if len(calls) != len(expected):
-        raise ValueError("Provider did not return the required number of tool calls.")
-    if finish_reason != ("tool_calls" if expected else "stop"):
-        raise ValueError("Provider did not complete the requested turn.")
-    if not calls:
-        if not isinstance(history.get("content"), str) or not history["content"].strip():
-            raise ValueError("Provider did not return a final text answer.")
-        return
-    identities = [call.get("id") for call in calls]
-    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
-        set(identities)
-    ) != len(identities):
-        raise ValueError("Provider tool identities are missing or duplicated.")
-    arguments = []
-    for call in calls:
-        function = call["function"]
-        if function["name"] != "add":
-            raise ValueError("Provider returned an unexpected tool.")
-        values = json.loads(function["arguments"])
-        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
-            raise ValueError("Provider returned invalid add arguments.")
-        arguments.append(sorted(values.values()))
-    if sorted(arguments) != expected:
-        raise ValueError("Provider did not execute the requested tool scenario.")
-
-
-async def record(args: argparse.Namespace) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "source_hashes": {
-            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
-            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
-        },
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "provider": args.provider,
-        "upstream_protocol": "chat/completions",
-        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
-        "requested_model": args.model,
-        "authentication": f"Bearer credential from {args.key_env}; value excluded",
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": (
-            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
-            "original SSE and role metadata retained and checked independently; "
-            "reasoning_details text/summary fragments and stable metadata independently checked; "
-            "unverifiable detail shapes rejected without repairing SDK history"
-        ),
-        "history_policy": (
-            "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
-        ),
-        "turns": [],
-        "status": "incomplete",
-    }
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
-                {"type": "text", "text": "Reply briefly."},
-            ],
-        }
-    ]
-    tools = [
-        {
-            "type": "function",
-            "function": {
-                "name": "add",
-                "description": "Add two integers.",
-                "parameters": {
-                    "type": "object",
-                    "properties": {
-                        "a": {"type": "integer"},
-                        "b": {"type": "integer"},
-                    },
-                    "required": ["a", "b"],
-                    "additionalProperties": False,
-                },
-            },
-        }
-    ]
-    if args.scenario != "text":
-        messages = [
-            {
-                "role": "user",
-                "content": (
-                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
-                    "Then give the final answer."
-                    if args.scenario == "tools"
-                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-                ),
-            }
-        ]
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            async with AsyncOpenAI(
-                api_key=key,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    turn_info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(turn_info)
-                    body = {
-                        "model": args.model,
-                        "messages": messages,
-                        "stream": args.stream,
-                        "max_tokens": args.max_tokens,
-                    }
-                    if args.stream:
-                        body["stream_options"] = {"include_usage": True}
-                    if args.scenario != "text":
-                        body["tools"] = tools
-                        if args.scenario == "parallel":
-                            body["parallel_tool_calls"] = True
-                            body["tool_choice"] = "required" if turn == 0 else "none"
-                        else:
-                            body["tool_choice"] = (
-                                "none"
-                                if turn == 2
-                                else {"type": "function", "function": {"name": "add"}}
-                            )
-                    try:
-                        result = await client.chat.completions.create(
-                            **body, extra_body=args.extra_body
-                        )
-                        if args.stream:
-                            state = ChatCompletionStreamState()
-                            events = []
-                            roles = {}
-                            async with result:
-                                async for event in result:
-                                    events.append(event.model_dump(exclude_unset=True))
-                                    state.handle_chunk(accumulation_chunk(event, roles))
-                            result = state.get_final_completion()
-                        turn_info["returned_model"] = result.model
-                        if len(result.choices) != 1:
-                            raise ValueError("The recording scenario requires exactly one choice.")
-                        choice = result.choices[0]
-                        turn_info["finish_reason"] = choice.finish_reason
-                        history = assistant_history(
-                            choice.message, events if args.stream else None
-                        )
-                        if args.stream:
-                            verify_accumulation(events, history)
-                        validate_turn(history, choice.finish_reason, args.scenario, turn)
-                        messages.append(history)
-                        calls = history.get("tool_calls") or []
-                        for call in calls:
-                            function = call["function"]
-                            arguments = json.loads(function["arguments"])
-                            messages.append(
-                                {
-                                    "role": "tool",
-                                    "tool_call_id": call["id"],
-                                    "content": str(arguments["a"] + arguments["b"]),
-                                }
-                            )
-                        if args.scenario == "text" and turn == 0:
-                            messages.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": "text", "text": "Repeat the phrase"},
-                                        {
-                                            "type": "text",
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        turn_info["status"] = "complete"
-                    finally:
-                        turn_info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        # Exception strings may contain echoed headers or credentials; retain the
-        # class and stack locations while the proxy retains the reviewed response.
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index 41f5fcb..4e00e80 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -16,7 +16,7 @@ Treat these files as provider evidence. Do not edit a recorded value merely to m
 
 `upstream_ir/{scenario}/{provider}-{endpoint}-stream-{turn}.yaml` contains independent, unchanged provider recordings for `tests/upstream/test_multi_turn.py`. The scenarios are two-turn `text_chat`, `text_image_chat`, and `consecutive_user_text`, plus three-turn `tool_use` and `tool_use_reasoning`. Text, multimodal input, consecutive user messages, and tool use cover all three upstream clients; reasoning tool use covers Responses and Messages.
 
-The upstream multi-turn suite replays these canonical recordings against every registered provider client class as a shared protocol-contract check, using an explicit test destination. Reusing an OpenAI or Anthropic fixture does not establish live support for another provider. Separate cases replay 11 original Fireworks/OpenRouter conversation groups from `provider_recordings/2026-11-04/`, feeding actual normalized output into the next request and comparing independent SDK semantics. Expected request copies account only for normalized wire representations, optional output metadata, and the accepted OpenRouter raw `format: "unknown"`; the original recorded bodies remain unchanged. Together's observed alternative reasoning dialect has an explicit normalized-output rejection case.
+Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
 
 `text_image_chat` sends text, an image, and trailing text in one user message on each turn, using the existing `tests/files/github.png` and `tests/files/xlsx.jpg` fixtures as data URLs. `consecutive_user_text` sends two adjacent user messages, each with two text parts, before each assistant response. Both scenarios retain actual assistant output as history and assert that the input IR is not mutated. They also inspect outgoing message roles and content grouping independently of cassette equality, so the expected fixtures cannot silently permit merged user messages or split multimodal parts. These are upstream-client projection checks; incoming request normalization remains covered by the adapter tests.
 
@@ -140,25 +140,8 @@ When a matcher changes an SSE payload discriminator, update the corresponding `e
 
 `scripts/recorder_proxy.py` defaults to `/tmp/molto-recordings`, binds localhost, and makes one upstream attempt. Native SDK recording callers must also use `max_retries=0`. Non-SSE responses retain `response.body_bytes` as authoritative bytes and a decoded `body` for inspection. Replay prefers bytes; successful response matching drops this raw field on deliberately modified copies. Request-only error matching preserves the complete response unchanged.
 
-Use the standalone native Chat scenario driver outside pytest:
+Record native SDK conversations through `scripts/recorder_proxy.py`, outside pytest, with `max_retries=0`. Carry actual SDK output into subsequent requests and append only caller input or tool results. Validate completion and preserve incomplete captures in staging for investigation. Promote only the exchanges needed by a regression or shared scenario, using the existing `{provider}-{endpoint}-{mode}-{turn:02}.yaml` filenames. No sidecar manifests, source snapshots, or duplicate historical corpus are required.
 
-```bash
-uv run --extra test python -m scripts.record_provider_conversation \
-  --provider togetherai --key-env TOGETHER_AI_API_KEY \
-  --base-url https://api.together.ai/v1 --model Qwen/Qwen3.5-9B \
-  --scenario tools --output-dir /tmp/molto-recordings/together-tools
-```
-
-Add `--stream` to record native streaming independently. `--scenario text` records two turns; `tools` records three sequential turns; `parallel` requires two distinct calls and their results. Failed SDK accumulation or incomplete scenarios retain the capture and failure manifest.
-
-`scripts/record_native_conversation.py` provides the corresponding Responses and Messages driver. Select `--protocol responses` or `messages`, `--reasoning none` or `low`, and the provider's SDK base URL. Responses uses manual `store=false` actual-output history; Messages uses the SDK's final content blocks. Responses requires a completed terminal result, and Messages streaming requires exactly one observed `message_stop`; an SDK snapshot alone cannot certify completion.
-
-For OpenRouter, use the OpenAI SDK base `https://openrouter.ai/api/v1`, or the Messages SDK base `https://openrouter.ai/api` with `--auth bearer`. Messages otherwise defaults to API-key authentication. Both drivers accept nonsecret `--extra-body` controls and record them in the manifest. Free-model runs use an explicit catalog-verified `:free` model, `provider.allow_fallbacks: false`, and `provider.max_price` limits of zero for prompt, completion, and request fees, with no plugins. Check current model availability and the free request allowance before recording; a catalog entry alone does not establish successful inference.
-
-Chat streaming can acquire SDK-generated `annotations`, `audio`, and `function_call` null fields absent from the wire. The current driver omits those fields only when no upstream delta emitted them, records the policy in the manifest, and preserves explicitly emitted nulls. Original failed attempts using the earlier history policy remain unchanged. Messages history excludes SDK parser bookkeeping (`__json_buf` and `parsed_output`) while retaining provider fields.
-
-OpenRouter Chat `reasoning_details` text/summary fragments are checked against SDK accumulation, including stable metadata and detail order. The observed repeated `format` metadata is concatenated by the SDK; the recorder retains the original stream and stops rather than submitting corrupted history. Unindexed or opaque detail shapes that cannot be independently verified also stop recording. This validation does not repair provider output or extend Molto's public history schemas.
-
-Inspect staged captures, scan credentials and private content, and validate actual SDK output against subsequent requests. Copy approved originals unchanged into a recorded directory and commit before editing matched copies. Never generate expected fixtures from Molto output or run pytest in recording mode.
+For OpenRouter free-model recordings, use an explicit verified `:free` model, disabled provider fallbacks, zero price caps, and no plugins. Check current model availability before recording. Inspect all staged fields for credentials and private content before promotion. Never generate expected fixtures from Molto output or run pytest in recording mode.
 
-See the [provider evidence matrix](../../docs/provider-compatibility.md) for fresh `provider_recordings/2026-11-03/` and `2026-11-04/` captures and the separate historical matched `reference_pr76/` corpus. Fireworks and OpenRouter manifests reference exact capture-time driver, validation, and recorder source hashes; the corresponding `sources/<sha256>.txt` snapshots preserve those revisions independently of later driver fixes. Together error fixtures imported from PR #76 commit `42b9040cb2c74b3676d1749b2c4473c16b3bda9f` retain their original bytes; they are historical response evidence with matched requests, not fresh live availability.
+See the [provider support matrix](../../docs/provider-compatibility.md) for the selected protocols, recorded models, and remaining coverage gaps.
diff --git a/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
deleted file mode 100644
index a1a3a06..0000000
--- a/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-filename: 2026-10-15-01a13eab-b246-7602-aecb-9d5fe615d9e4
-request:
-  body:
-    max_completion_tokens: 16
-    messages:
-    - content:
-      - text: Reply with OK. x
-        type: text
-      role: user
-    model: gpt-4.1-mini
-    reasoning:
-      enabled: false
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '600171'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-    x-run-id: errors/context_length_exceeded/togetherai-chat_completions-non_stream-00.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a13eab-b246-7602-aecb-9d5fe615d9e4
-response:
-  body: "{\n  \"id\": \"p5Ja3GU-3pDw3Z-a4ad70bd0d65ce2a\",\n  \"error\": {\n    \"\
-    message\": \"The input (300016 tokens) is longer than the model's context length\
-    \ (262144 tokens).\",\n    \"type\": \"invalid_request_error\",\n    \"param\"\
-    : null,\n    \"code\": null\n  }\n}"
-  headers:
-    connection: keep-alive
-    content-length: '239'
-    content-type: application/json; charset=utf-8
-  status_code: 400
-timestamp: '2026-10-15T08:26:42.118379+00:00'
diff --git a/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 4252929..0000000
--- a/tests/cassettes/errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
+++ /dev/null
@@ -1,40 +0,0 @@
-filename: 2026-10-15-01a13eab-a682-7d50-8f8f-a1430e6a65c6
-request:
-  body:
-    max_completion_tokens: 16
-    messages:
-    - content:
-      - text: Reply with OK. x
-        type: text
-      role: user
-    model: gpt-4.1-mini
-    reasoning:
-      enabled: false
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '600210'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-    x-run-id: errors/context_length_exceeded/togetherai-chat_completions-stream-00.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a13eab-a682-7d50-8f8f-a1430e6a65c6
-response:
-  body: "{\n  \"id\": \"p5Ja2FC-3pDw3Z-a4ad70aaacc7ce2a\",\n  \"error\": {\n    \"\
-    message\": \"The input (300016 tokens) is longer than the model's context length\
-    \ (262144 tokens).\",\n    \"type\": \"invalid_request_error\",\n    \"param\"\
-    : null,\n    \"code\": null\n  }\n}"
-  headers:
-    connection: keep-alive
-    content-length: '239'
-    content-type: application/json; charset=utf-8
-  status_code: 400
-timestamp: '2026-10-15T08:26:39.106719+00:00'
diff --git a/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml
deleted file mode 100644
index ae4ce74..0000000
--- a/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-filename: 2026-10-15-01a13eae-0c09-7540-8c89-70457af0f5e9
-request:
-  body:
-    max_completion_tokens: 16
-    messages:
-    - content:
-      - text: Say hello.
-        type: text
-      role: user
-    model: gpt-4.1-mini
-    reasoning:
-      enabled: false
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '224'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-    x-run-id: errors/invalid_api_key/togetherai-chat_completions-non_stream-00.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a13eae-0c09-7540-8c89-70457af0f5e9
-response:
-  body: "{\n  \"id\": \"p5Japo4-fdNmn-a4ad747fd85bf916\",\n  \"error\": {\n    \"\
-    message\": \"Invalid API key provided. You can find your API key at https://api.together.ai/settings/api-keys.\"\
-    ,\n    \"type\": \"invalid_request_error\",\n    \"param\": null,\n    \"code\"\
-    : \"invalid_api_key\"\n  }\n}"
-  headers:
-    connection: keep-alive
-    content-length: '264'
-    content-type: application/json; charset=utf-8
-  status_code: 401
-timestamp: '2026-10-15T08:29:16.169576+00:00'
diff --git a/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 1a9b11c..0000000
--- a/tests/cassettes/errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml
+++ /dev/null
@@ -1,42 +0,0 @@
-filename: 2026-10-15-01a13eae-0ad6-7971-aa99-a8882b116c45
-request:
-  body:
-    max_completion_tokens: 1024
-    messages:
-    - content:
-      - text: 'Write one short sentence '
-        type: text
-      - text: about the ocean.
-        type: text
-      role: user
-    model: gpt-4.1-nano
-    reasoning:
-      enabled: false
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '263'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-    x-run-id: errors/invalid_api_key/togetherai-chat_completions-stream-00.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a13eae-0ad6-7971-aa99-a8882b116c45
-response:
-  body: "{\n  \"id\": \"p5Japdv-3pDw3Z-a4ad747e2bcff916\",\n  \"error\": {\n    \"\
-    message\": \"Invalid API key provided. You can find your API key at https://api.together.ai/settings/api-keys.\"\
-    ,\n    \"type\": \"invalid_request_error\",\n    \"param\": null,\n    \"code\"\
-    : \"invalid_api_key\"\n  }\n}"
-  headers:
-    connection: keep-alive
-    content-length: '265'
-    content-type: application/json; charset=utf-8
-  status_code: 401
-timestamp: '2026-10-15T08:29:15.862031+00:00'
diff --git a/tests/cassettes/errors/model_not_found/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/errors/model_not_found/togetherai-chat_completions-non_stream-00.yaml
deleted file mode 100644
index 4336160..0000000
--- a/tests/cassettes/errors/model_not_found/togetherai-chat_completions-non_stream-00.yaml
+++ /dev/null
@@ -1,37 +0,0 @@
-filename: 2026-10-15-01a13eae-3b83-7901-94f3-f8e7c000f715
-request:
-  body:
-    max_completion_tokens: 16
-    messages:
-    - content:
-      - text: Say hello.
-        type: text
-      role: user
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deleted file mode 100644
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deleted file mode 100644
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diff --git a/tests/cassettes/errors/not_found/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/errors/not_found/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 9e2a474..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/gemini-text-stream/2026-11-03-01a1a245-9ce3-7d00-ade4-ac8377b653cd.yaml b/tests/cassettes/provider_recordings/2026-11-03/gemini-text-stream/2026-11-03-01a1a245-9ce3-7d00-ade4-ac8377b653cd.yaml
deleted file mode 100644
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deleted file mode 100644
index 919733a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/gemini-text-stream/manifest.json
+++ /dev/null
@@ -1,42 +0,0 @@
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-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
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-    ]
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deleted file mode 100644
index a53289f..0000000
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+++ /dev/null
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deleted file mode 100644
index 2a3ed18..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-llama-text-stream/manifest.json
+++ /dev/null
@@ -1,42 +0,0 @@
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/2026-11-03-01a1a24c-855d-7172-8cb3-817eee18c561.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/2026-11-03-01a1a24c-855d-7172-8cb3-817eee18c561.yaml
deleted file mode 100644
index 65bb587..0000000
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deleted file mode 100644
index e9cef61..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream-explicit/manifest.json
deleted file mode 100644
index ad402c9..0000000
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deleted file mode 100644
index b645512..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/2026-11-03-01a1a248-2266-7e50-80b3-62907aa5672c.yaml
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deleted file mode 100644
index 1980247..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-nonstream/manifest.json
+++ /dev/null
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deleted file mode 100644
index 09bfd9b..0000000
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"0db6461a-aws_as1","object":"chat.completion.chunk","created":1793724283,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"tool_calls","matched_stop":248044}]}
-
-    '
-  - '
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-    '
-  - 'data: {"id":"0db6461a-aws_as1","object":"chat.completion.chunk","created":1793724283,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":311,"completion_tokens":105,"total_tokens":416,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":81}}}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-03T16:44:43.446710+00:00'
-upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json
deleted file mode 100644
index fda2909..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-parallel-stream-explicit/manifest.json
+++ /dev/null
@@ -1,47 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-03T16:44:43.051180+00:00",
-  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "togetherai",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.together.ai/v1/chat/completions",
-  "requested_model": "Qwen/Qwen3.5-9B",
-  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": null,
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "Qwen/Qwen3.5-9B",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-03-01a1a24c-7a36-7343-9fb3-382d9c837eb0.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 265, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 105, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml
deleted file mode 100644
index 68a82c4..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-064f-7a73-93d8-785d24ef18ed.yaml
+++ /dev/null
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml
deleted file mode 100644
index c461802..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/2026-11-03-01a1a248-07bc-7902-a857-dd91295a0326.yaml
+++ /dev/null
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json
deleted file mode 100644
index 02278c8..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-nonstream/manifest.json
+++ /dev/null
@@ -1,48 +0,0 @@
-{
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3863-70e2-a3ee-c5adb12fa1b3.yaml
deleted file mode 100644
index 1fa714e..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/2026-11-03-01a1a24a-3a24-7980-bea2-5cafea924fdb.yaml
deleted file mode 100644
index b893c10..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json
deleted file mode 100644
index 7ecd45a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-text-stream/manifest.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/2026-11-03-01a1a247-81fd-7ea3-8432-9278146a93ff.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/2026-11-03-01a1a247-81fd-7ea3-8432-9278146a93ff.yaml
deleted file mode 100644
index 0e1ded3..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-nonstream/2026-11-03-01a1a247-81fd-7ea3-8432-9278146a93ff.yaml
+++ /dev/null
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml
deleted file mode 100644
index 700b061..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml
+++ /dev/null
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diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml
deleted file mode 100644
index f801238..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml
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-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"\n-","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
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-  - '
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-    '
-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"\n\n**","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
-
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-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"Final","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
-
-    '
-  - '
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-    '
-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
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-    '
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-    '
-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":":**","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
-
-    '
-  - '
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-    '
-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
-    9","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"stop","matched_stop":248046}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"8f826176-aws_as1","object":"chat.completion.chunk","created":1793724140,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":224,"completion_tokens":75,"total_tokens":299,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":18}}}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-03T16:42:20.069897+00:00'
-upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json
deleted file mode 100644
index 9e25e71..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-qwen-tools-stream/manifest.json
+++ /dev/null
@@ -1,54 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-03T16:42:17.871536+00:00",
-  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "togetherai",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.together.ai/v1/chat/completions",
-  "requested_model": "Qwen/Qwen3.5-9B",
-  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
-  "scenario": "tools",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": null,
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "Qwen/Qwen3.5-9B",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-03-01a1a24a-4303-7b72-aa70-50419a2fc77f.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "Qwen/Qwen3.5-9B",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-03-01a1a24a-4736-7262-a255-44276689cb8a.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "Qwen/Qwen3.5-9B",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-03-01a1a24a-4a25-7a90-b268-cb9166d814a1.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml b/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml
deleted file mode 100644
index 5846799..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml
+++ /dev/null
@@ -1,4759 +0,0 @@
-filename: 2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: Qwen/Qwen3.5-9B
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '247'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
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-
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-  - '
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-    '
-  - 'data: [DONE]
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-  - '
-
-    '
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-  stream_status: complete
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-timestamp: '2026-11-03T16:37:09.142993+00:00'
-upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json b/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json
deleted file mode 100644
index c1119be..0000000
--- a/tests/cassettes/provider_recordings/2026-11-03/together-text-stream/manifest.json
+++ /dev/null
@@ -1,42 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-03T16:37:08.763493+00:00",
-  "revision": "acf4abe8775e539c3c0aa02c11456054b3ea379b",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "togetherai",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.together.ai/v1/chat/completions",
-  "requested_model": "Qwen/Qwen3.5-9B",
-  "authentication": "Bearer credential from TOGETHER_AI_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": null,
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "Qwen/Qwen3.5-9B",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-03-01a1a245-8b96-7d82-8d1b-5b8d749fbdb5.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 188, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 69, in validate_turn\n    raise ValueError(\"SDK accumulation did not retain the assistant role.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml
deleted file mode 100644
index c2c18a9..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6.yaml
+++ /dev/null
@@ -1,109 +0,0 @@
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-request:
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-    messages:
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-        both results.'
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    parallel_tool_calls: true
-    reasoning_effort: low
-    stream: false
-    tool_choice: required
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
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-    accept-encoding: gzip, deflate, br
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-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a47a-e6bf-7fa3-99ce-c482b0fe87e6
-response:
-  body:
-    choices:
-    - finish_reason: tool_calls
-      index: 0
-      message:
-        content: ''
-        reasoning_content: 'We need to call add twice in parallel: first 2 and 3,
-          then 7 and 4. Use function tool. Probably we can call both calls simultaneously.
-          The tool allows multiple invokes. We''ll output calls.'
-        role: assistant
-        tool_calls:
-        - function:
-            arguments: '{"a": 2, "b": 3}'
-            name: add
-          id: chatcmpl-tool-b7aff231d20eaa8c
-          index: 0
-          name: null
-          type: function
-        - function:
-            arguments: '{"a": 7, "b": 4}'
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-          id: chatcmpl-tool-97688f275c14254e
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-          name: null
-          type: function
-        tools: null
-    created: 1793760881
-    id: chatcmpl-fb97897c8f5a41a490accfc57b26923d
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    object: chat.completion
-    usage:
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-      completion_tokens_details:
-        reasoning_tokens: 47
-      output_tokens_details:
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-      prompt_tokens: 320
-      prompt_tokens_details:
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-  headers:
-    connection: keep-alive
-    content-length: '1002'
-    content-type: application/json
-    x-request-id: chatcmpl-fb97897c8f5a41a490accfc57b26923d
-  status_code: 200
-timestamp: '2026-11-04T02:54:40.319668+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml
deleted file mode 100644
index fa1e6d5..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low-history/2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25.yaml
+++ /dev/null
@@ -1,116 +0,0 @@
-filename: 2026-11-04-01a1a47a-ead8-78f1-89d3-c3e837fd1b25
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    - content: ''
-      reasoning_content: 'We need to call add twice in parallel: first 2 and 3, then
-        7 and 4. Use function tool. Probably we can call both calls simultaneously.
-        The tool allows multiple invokes. We''ll output calls.'
-      role: assistant
-      tool_calls:
-      - function:
-          arguments: '{"a": 2, "b": 3}'
-          name: add
-        id: chatcmpl-tool-b7aff231d20eaa8c
-        name: null
-        type: function
-      - function:
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-    fQ==
-  headers:
-    connection: keep-alive
-    content-length: '7753'
-    content-type: application/json
-    x-request-id: chatcmpl-e9a0f799214f4605b3aaf966514610a2
-  status_code: 200
-timestamp: '2026-11-04T02:50:48.871706+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json
deleted file mode 100644
index 084e1c1..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-low/manifest.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:50:48.491482+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": false,
-  "max_tokens": 2048,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "length",
-      "files": [
-        "2026-11-04-01a1a477-5ea7-79d1-bddb-858d541bc97e.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 265, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 105, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml
deleted file mode 100644
index e27e7d7..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-filename: 2026-11-04-01a1a476-deba-75f1-aa34-43eb2d990ddd
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    parallel_tool_calls: true
-    reasoning_effort: none
-    stream: false
-    tool_choice: required
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '533'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a476-deba-75f1-aa34-43eb2d990ddd
-response:
-  body:
-    choices:
-    - finish_reason: tool_calls
-      index: 0
-      message:
-        content: ''
-        role: assistant
-        tool_calls:
-        - function:
-            arguments: '{"a": 2, "b": 3}'
-            name: add
-          id: chatcmpl-tool-83ad685df9df967e
-          index: 0
-          name: null
-          type: function
-        - function:
-            arguments: '{"a": 7, "b": 4}'
-            name: add
-          id: chatcmpl-tool-8055a4c73fa7b773
-          index: 1
-          name: null
-          type: function
-        tools: null
-    created: 1793760617
-    id: chatcmpl-49a713aa6f8047009cf7805c8ed12cce
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    object: chat.completion
-    usage:
-      completion_tokens: 61
-      completion_tokens_details:
-        reasoning_tokens: 0
-      output_tokens_details:
-        reasoning_tokens: 0
-      prompt_tokens: 320
-      prompt_tokens_details:
-        cached_tokens: 0
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-e312-71e0-9b22-9a58d789b202.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-e312-71e0-9b22-9a58d789b202.yaml
deleted file mode 100644
index cd7d813..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-nonstream-none/2026-11-04-01a1a476-e312-71e0-9b22-9a58d789b202.yaml
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index b18e948..0000000
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-
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-  - '
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-  - 'data: [DONE]
-
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-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T02:54:33.037468+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json
deleted file mode 100644
index 68af52e..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-history/manifest.json
+++ /dev/null
@@ -1,50 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:54:32.635772+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": true,
-  "max_tokens": 4096,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47a-ca4d-7ab0-b57e-ccc287fe4f36.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 278, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 113, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml
deleted file mode 100644
index f21bb65..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml
+++ /dev/null
@@ -1,748 +0,0 @@
-filename: 2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    parallel_tool_calls: true
-    reasoning_effort: low
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice: required
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '571'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a47c-2ff9-76b3-9cff-833284170f60
-response:
-  error_event: false
-  headers:
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-    x-request-id: chatcmpl-f2fb5f3b9b704edab6809278ed56f0d4
-  sse:
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-
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml
deleted file mode 100644
index b014522..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml
+++ /dev/null
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-  - 'data: [DONE]
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-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T02:56:05.740670+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json
deleted file mode 100644
index b6afd1f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low-retry/manifest.json
+++ /dev/null
@@ -1,52 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:56:04.237421+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": true,
-  "max_tokens": 4096,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47c-2ff9-76b3-9cff-833284170f60.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47c-346c-7483-8f3a-17d55838302c.yaml"
-      ]
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-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml
deleted file mode 100644
index 2f86bef..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef.yaml
+++ /dev/null
@@ -1,693 +0,0 @@
-filename: 2026-11-04-01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    parallel_tool_calls: true
-    reasoning_effort: low
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice: required
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '571'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a477-97c8-7ed1-ba2d-78ed57ebf0ef
-response:
-  error_event: false
-  headers:
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-    x-request-id: chatcmpl-4275b6c1f3474242a0586aa30e0753cc
-  sse:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml
deleted file mode 100644
index 6108851..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/2026-11-04-01a1a477-9b31-70b3-aaf0-9ff898adbcfe.yaml
+++ /dev/null
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-      reasoning_content: 'We need to call add twice in parallel: first 2 and 3, then
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-        Should we invoke them in parallel? In this interface, we can call multiple
-        functions. We''ll produce two calls. Then after getting results, output both
-        results.
-
-
-        Let''s call add with a=2,b=3 and a=7,b=4.'
-      refusal: null
-      role: assistant
-      tool_calls:
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-          name: add
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json
deleted file mode 100644
index 6235943..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-low/manifest.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
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-  "captured_at": "2026-11-04T02:51:03.094829+00:00",
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-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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-  "scenario": "parallel",
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-  "max_tokens": 2048,
-  "extra_body": {
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-  "turns": [
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-      "finish_reason": "tool_calls",
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-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml
deleted file mode 100644
index 2ab9cad..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9921-7552-b46b-c9c49cf6abed.yaml
+++ /dev/null
@@ -1,131 +0,0 @@
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-request:
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    parallel_tool_calls: true
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-    tool_choice: required
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-        name: add
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-          properties:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml
deleted file mode 100644
index 9ce153d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/2026-11-04-01a1a47a-9c2b-7340-a69b-389acb2b7ad9.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json
deleted file mode 100644
index b0b3567..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none-history/manifest.json
+++ /dev/null
@@ -1,52 +0,0 @@
-{
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-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml
deleted file mode 100644
index ec24d9c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml
+++ /dev/null
@@ -1,131 +0,0 @@
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-    tool_choice: required
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml
deleted file mode 100644
index 02298de..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json
deleted file mode 100644
index d098a27..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-parallel-stream-none/manifest.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:50:19.200528+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": {
-    "reasoning_effort": "none"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a476-ec39-7671-a8fb-4061dfbb4b58.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "incomplete",
-      "files": [
-        "2026-11-04-01a1a476-eea4-7572-9379-3bf31d38fce3.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "BadRequestError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml
deleted file mode 100644
index bb39e17..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml
+++ /dev/null
@@ -1,108 +0,0 @@
-filename: 2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '274'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a476-fa12-7953-bdd2-9f3bcb65f185
-response:
-  body:
-    choices:
-    - finish_reason: stop
-      index: 0
-      message:
-        content: Blue lantern.
-        reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
-          \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - Instruction:\
-          \ \"Reply briefly.\"\n\n2.  **Identify Key Elements:**\n   - Key phrase:\
-          \ \"blue lantern\"\n   - Constraint: Reply briefly\n\n3.  **Determine Response:**\n\
-          \   - The user is asking me to \"remember\" the exact phrase \"blue lantern\"\
-          .\n   - This seems like a test of memory or just a prompt to acknowledge/repeat\
-          \ the phrase.\n   - Since they want me to \"remember\" it and reply briefly,\
-          \ I should just acknowledge/repeat the phrase concisely.\n   - Possible\
-          \ responses: \"Blue lantern.\" or \"I remember: blue lantern.\"\n   - Brief\
-          \ is key. I'll just output the phrase itself or a short confirmation.\n\n\
-          \   Let's keep it very brief: \"Blue lantern.\"\n   Or maybe: \"Understood:\
-          \ blue lantern.\"\n\n   Given the instruction \"Reply briefly.\", I'll just\
-          \ repeat the phrase or give a minimal acknowledgment. I think \"Blue lantern.\"\
-          \ is perfect. It's exact, brief, and acknowledges the phrase.\n\n   Wait,\
-          \ maybe they want me to \"remember\" it in the sense of recalling it. I'll\
-          \ just say the phrase.\n   I'll respond: \"Blue lantern.\"\n   Check constraints:\
-          \ exact phrase \"blue lantern\", reply briefly. ✅\n\n   Let's output just\
-          \ that.✅"
-        role: assistant
-        tools: null
-    created: 1793760623
-    id: chatcmpl-4b397aec7f354ce6a962c6f9de301116
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    object: chat.completion
-    usage:
-      completion_tokens: 303
-      completion_tokens_details:
-        reasoning_tokens: 297
-      output_tokens_details:
-        reasoning_tokens: 297
-      prompt_tokens: 28
-      prompt_tokens_details:
-        cached_tokens: 27
-      total_tokens: 331
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-  headers:
-    connection: keep-alive
-    content-length: '1796'
-    content-type: application/json
-    x-request-id: chatcmpl-4b397aec7f354ce6a962c6f9de301116
-  status_code: 200
-timestamp: '2026-11-04T02:50:23.122482+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml
deleted file mode 100644
index f717f2b..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml
+++ /dev/null
@@ -1,275 +0,0 @@
-filename: 2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content: Blue lantern.
-      reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
-        \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - Instruction:\
-        \ \"Reply briefly.\"\n\n2.  **Identify Key Elements:**\n   - Key phrase: \"\
-        blue lantern\"\n   - Constraint: Reply briefly\n\n3.  **Determine Response:**\n\
-        \   - The user is asking me to \"remember\" the exact phrase \"blue lantern\"\
-        .\n   - This seems like a test of memory or just a prompt to acknowledge/repeat\
-        \ the phrase.\n   - Since they want me to \"remember\" it and reply briefly,\
-        \ I should just acknowledge/repeat the phrase concisely.\n   - Possible responses:\
-        \ \"Blue lantern.\" or \"I remember: blue lantern.\"\n   - Brief is key. I'll\
-        \ just output the phrase itself or a short confirmation.\n\n   Let's keep\
-        \ it very brief: \"Blue lantern.\"\n   Or maybe: \"Understood: blue lantern.\"\
-        \n\n   Given the instruction \"Reply briefly.\", I'll just repeat the phrase\
-        \ or give a minimal acknowledgment. I think \"Blue lantern.\" is perfect.\
-        \ It's exact, brief, and acknowledges the phrase.\n\n   Wait, maybe they want\
-        \ me to \"remember\" it in the sense of recalling it. I'll just say the phrase.\n\
-        \   I'll respond: \"Blue lantern.\"\n   Check constraints: exact phrase \"\
-        blue lantern\", reply briefly. ✅\n\n   Let's output just that.✅"
-      role: assistant
-      tools: null
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1758'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a476-fe81-7120-8fc2-b68a69a8cf80
-response:
-  body:
-    choices:
-    - finish_reason: stop
-      index: 0
-      message:
-        content: blue lantern
-        reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
-          \   - User says: \"Remember the exact phrase: blue  lantern.\"\n   - Then\
-          \ says: \"Reply briefly.\"\n   - Then says: \"Repeat the phrase exactly,\
-          \ preserving its spaces.\"\n\n2.  **Identify Key Requirements:**\n   - Repeat\
-          \ the phrase \"blue lantern\" exactly\n   - Preserve spaces\n   - Reply\
-          \ briefly\n\n3.  **Check the Phrase:**\n   - The input shows \"blue  lantern\"\
-          \ - wait, there might be two spaces? Let me check: \"blue  lantern\". Actually,\
-          \ it's written as \"blue  lantern\" in the prompt? Let me look carefully:\
-          \ \"Remember the exact phrase: blue  lantern.\" \n   - It says \"blue  lantern\"\
-          \ - there appear to be two spaces between \"blue\" and \"lantern\"? Or is\
-          \ it just \"blue lantern\" with normal spacing? The prompt says: `blue \
-          \ lantern`. In markdown/code contexts, sometimes double spaces appear. But\
-          \ typically, it's just \"blue lantern\".\n   - I need to preserve \"its\
-          \ spaces\". If the user typed \"blue  lantern\" (with two spaces), I should\
-          \ output that. But if it's just \"blue lantern\" with one space, I should\
-          \ output that.\n   - Let me look at the exact text: \"blue  lantern.\" It\
-          \ might be \"blue lantern\" with a trailing period? No, the phrase is \"\
-          blue  lantern\" and then a period ends the sentence.\n   - Actually, the\
-          \ user wrote: `Remember the exact phrase: blue  lantern.` \n   - The phrase\
-          \ itself is `blue  lantern`. There might be two spaces. I should respect\
-          \ that if that's what they want. But typically, users don't care about double\
-          \ spaces unless specified. However, they said \"preserving its spaces\"\
-          , which implies I should match the exact spacing in their input.\n   - Let\
-          \ me count: \"blue  lantern\" - between 'blue' and 'lantern' there are two\
-          \ spaces? In the prompt it renders as \"blue  lantern\". Sometimes it's\
-          \ just one space, but the markdown might not show it. I'll assume they want\
-          \ exactly what they wrote: \"blue  lantern\" with the spaces as present.\n\
-          \   - But wait, the instruction says: \"Repeat the phrase exactly, preserving\
-          \ its spaces.\" and \"Reply briefly.\"\n   - I'll output just the phrase\
-          \ with the spaces as they appear. To be safe, I'll output \"blue lantern\"\
-          \ (one space) or maybe \"blue  lantern\" (two spaces). Let me re-read carefully:\
-          \ \"Remember the exact phrase: blue  lantern.\" \n   - Actually, in many\
-          \ interfaces, a single space is standard. The double space might just be\
-          \ a typo or formatting. But the user explicitly said \"preserving its spaces\"\
-          . I'll output exactly \"blue lantern\" assuming one space, but if I'm not\
-          \ sure, I could output it as a code block or just the text.\n   - Let me\
-          \ think: The prompt says \"blue  lantern.\" The period is after lantern,\
-          \ not part of the phrase. The phrase is \"blue lantern\".\n   - I'll output:\
-          \ `blue lantern` (with one space) or maybe exactly as written. To be safe\
-          \ and brief, I'll just say \"blue lantern\". But they emphasized preserving\
-          \ spaces. I'll output \"blue  lantern\" if that's what they wrote. Actually,\
-          \ I can't be 100% sure of the space count from text alone. I'll assume standard\
-          \ one space, but I'll format it carefully.\n   - Wait, maybe the user wants\
-          \ me to just repeat the phrase \"blue lantern\" exactly. I'll output \"\
-          blue lantern\". If they meant two spaces, they'd probably note it, but \"\
-          preserving its spaces\" might just mean don't add/remove spaces, keep it\
-          \ as is.\n   - I'll just output: `blue lantern` (with a single space, as\
-          \ that's the natural phrase). But to strictly follow \"preserving its spaces\"\
-          , I'll output it exactly as: `blue lantern`. Actually, let me just output\
-          \ the phrase as is, maybe in quotes or plain text.\n   - I'll respond briefly:\
-          \ `blue lantern`. If there's a double space, it might render as one. I'll\
-          \ just do `blue lantern`.\n\n   Let me reconsider: The user wrote \"blue\
-          \  lantern\" with two spaces potentially. I'll output exactly `blue  lantern`\
-          \ to preserve spaces, but that might look odd. Alternatively, I can output\
-          \ `blue lantern` and note the space if needed, but they said \"Reply briefly.\"\
-          \n   - I think the safest brief output is just the phrase with the spaces\
-          \ as in the prompt. Since I'm an AI, I'll output `blue lantern` (one space)\
-          \ as it's the standard, but I'll keep it minimal.\n   - Actually, re-reading:\
-          \ \"Remember the exact phrase: blue  lantern.\" The period is at the end.\
-          \ The phrase is \"blue lantern\". I'll output `blue lantern`.\n\n   Wait,\
-          \ maybe they want me to just output the phrase exactly as a string. I'll\
-          \ output: `blue lantern`. To be precise about spaces, I'll output it as\
-          \ `blue lantern` (one space). If the prompt had two spaces, maybe I should\
-          \ too, but I can't display leading/trailing spaces easily without a code\
-          \ block. I'll just output `blue lantern`.\n\n   Let me just output: `blue\
-          \ lantern` briefly.\n   Actually, the instruction says: \"Repeat the phrase\
-          \ exactly, preserving its spaces.\" I'll output the phrase exactly as it\
-          \ appears in the prompt, which is \"blue lantern\". I'll just reply with\
-          \ that text.\n\n   Final decision: Output `blue lantern` (with one space,\
-          \ as that's the phrase). If they want the exact double space, they can clarify,\
-          \ but brief repetition is key.\n   I'll just say: `blue lantern`\n   But\
-          \ wait, maybe I should output it exactly with the spaces they had. I'll\
-          \ output `blue  lantern` (two spaces) to be safe? No, that's risky. I'll\
-          \ stick with `blue lantern`.\n   Actually, looking at the prompt again:\
-          \ \"Remember the exact phrase: blue  lantern.\" It's possible the user typed\
-          \ two spaces intentionally to test. I'll output `blue lantern` (one space)\
-          \ as it's the canonical phrase, but I'll keep it minimal.\n   Hmm, to be\
-          \ strictly correct, I'll output the phrase without overthinking the space\
-          \ count. I'll just output `blue lantern`.\n   Let me just output: `blue\
-          \ lantern`\n   Done.✅"
-        role: assistant
-        tools: null
-    created: 1793760624
-    id: chatcmpl-1f94eaa301b2436b9ca7066729267e37
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    object: chat.completion
-    usage:
-      completion_tokens: 1384
-      completion_tokens_details:
-        reasoning_tokens: 1379
-      output_tokens_details:
-        reasoning_tokens: 1379
-      prompt_tokens: 53
-      prompt_tokens_details:
-        cached_tokens: 52
-      total_tokens: 1437
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-  headers:
-    connection: keep-alive
-    content-length: '6301'
-    content-type: application/json
-    x-request-id: chatcmpl-1f94eaa301b2436b9ca7066729267e37
-  status_code: 200
-timestamp: '2026-11-04T02:50:24.257440+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/manifest.json
deleted file mode 100644
index 3a7fa77..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-low/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:50:22.666761+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": false,
-  "max_tokens": 2048,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a476-fa12-7953-bdd2-9f3bcb65f185.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a476-fe81-7120-8fc2-b68a69a8cf80.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7863-7982-a05d-2252a0e53ebf.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7863-7982-a05d-2252a0e53ebf.yaml
deleted file mode 100644
index 3da38ad..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7863-7982-a05d-2252a0e53ebf.yaml
+++ /dev/null
@@ -1,67 +0,0 @@
-filename: 2026-11-04-01a1a475-7863-7982-a05d-2252a0e53ebf
-request:
-  body:
-    max_tokens: 512
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '274'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a475-7863-7982-a05d-2252a0e53ebf
-response:
-  body:
-    choices:
-    - finish_reason: stop
-      index: 0
-      message:
-        content: Blue lantern.
-        role: assistant
-        tools: null
-    created: 1793760525
-    id: chatcmpl-ac351ddb00a546f997ce63b8b5e0f1b4
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    object: chat.completion
-    usage:
-      completion_tokens: 4
-      completion_tokens_details:
-        reasoning_tokens: 0
-      output_tokens_details:
-        reasoning_tokens: 0
-      prompt_tokens: 28
-      prompt_tokens_details:
-        cached_tokens: 0
-      total_tokens: 32
-  body_bytes: !!binary |
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7b06-7af3-b972-0d1561c84886.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7b06-7af3-b972-0d1561c84886.yaml
deleted file mode 100644
index 945ea27..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/2026-11-04-01a1a475-7b06-7af3-b972-0d1561c84886.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/manifest.json
deleted file mode 100644
index 88f7e21..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-nonstream-none/manifest.json
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deleted file mode 100644
index 08130fa..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml
deleted file mode 100644
index da4a86c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml
+++ /dev/null
@@ -1,1582 +0,0 @@
-filename: 2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77
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-        type: text
-      - text: Reply briefly.
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-      reasoning_content: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n\
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-        \ analysis, just the phrase as requested.\n\n   Possible response: \"blue\
-        \ lantern\"\n   Or maybe: \"Blue lantern.\" (matching case if important, but\
-        \ they wrote lowercase \"blue lantern\")\n   I'll stick exactly to what they\
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-        \ - done.\n   - \"Remember the exact phrase: blue lantern\" - I'll output\
-        \ that exact phrase.\n\n   Response: \"blue lantern\"✅\n   No extra text.\
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-      refusal: null
-      role: assistant
-      tool_calls: null
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: true
-    stream_options:
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-  headers:
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-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1593'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
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-response:
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-  headers:
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-  - 'data: [DONE]
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-    '
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-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T02:54:25.433483+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json
deleted file mode 100644
index 17441a0..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low-history/manifest.json
+++ /dev/null
@@ -1,52 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:54:23.185815+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
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-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": true,
-  "max_tokens": 4096,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
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-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-a537-7b81-83f1-390d28c8825c.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-ac99-7391-a044-022a9f624b77.yaml"
-      ]
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-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml
deleted file mode 100644
index 4a390d4..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml
+++ /dev/null
@@ -1,7415 +0,0 @@
-filename: 2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac
-request:
-  body:
-    max_tokens: 2048
-    messages:
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-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: true
-    stream_options:
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-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '313'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a477-1757-7a22-8b9f-6ca76b9923ac
-response:
-  error_event: false
-  headers:
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-    x-request-id: chatcmpl-e908e90311d94fb9a72f53e0cb367642
-  sse:
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-  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"\n\nlab"},"finish_reason":null,"raw_output":null}],"usage":null}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ish"},"finish_reason":null,"raw_output":null}],"usage":null}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"
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-
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-    '
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-
-    '
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-
-    '
-  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ount"},"finish_reason":null,"raw_output":null}],"usage":null}
-
-    '
-  - '
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-    '
-  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"reasoning_content":"ence"},"finish_reason":null,"raw_output":null}],"usage":null}
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-  - '
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-
-    '
-  - '
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-    '
-  - 'data: {"id":"chatcmpl-e908e90311d94fb9a72f53e0cb367642","object":"chat.completion.chunk","created":1793760631,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":28,"total_tokens":1163,"completion_tokens":1135,"prompt_tokens_details":{"cached_tokens":27},"completion_tokens_details":{"reasoning_tokens":1132},"output_tokens_details":{"reasoning_tokens":1132}}}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T02:50:30.615349+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json
deleted file mode 100644
index c58bfb0..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-low/manifest.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:50:30.151248+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a477-1757-7a22-8b9f-6ca76b9923ac.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 265, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 110, in validate_turn\n    raise ValueError(\"Provider did not return a final text answer.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml
deleted file mode 100644
index 87afef0..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml
+++ /dev/null
@@ -1,77 +0,0 @@
-filename: 2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '314'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a47a-7f62-7fc2-b85e-27eb3990c92c
-response:
-  error_event: false
-  headers:
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-    x-request-id: chatcmpl-24340f34a952460b94d9aedb7fc6ae83
-  sse:
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-
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-
-    '
-  - '
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-    '
-  - 'data: [DONE]
-
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-  - '
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-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T02:54:13.858499+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml
deleted file mode 100644
index d939cf9..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml
+++ /dev/null
@@ -1,87 +0,0 @@
-filename: 2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content: blue lantern
-      refusal: null
-      role: assistant
-      tool_calls: null
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '522'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a47a-826d-77b2-8046-123914cf0922
-response:
-  error_event: false
-  headers:
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-    content-type: text/event-stream; charset=utf-8
-    x-request-id: chatcmpl-d489505cc7c241de9bd5245fd64009a7
-  sse:
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-
-    '
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-    '
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-
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-  - '
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-
-    '
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-  - 'data: [DONE]
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json
deleted file mode 100644
index 2f62330..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none-history/manifest.json
+++ /dev/null
@@ -1,52 +0,0 @@
-{
-  "provenance": "recorded",
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
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-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": true,
-  "max_tokens": 4096,
-  "extra_body": {
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-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-7f62-7fc2-b85e-27eb3990c92c.yaml"
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-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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-        "2026-11-04-01a1a47a-826d-77b2-8046-123914cf0922.yaml"
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-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml
deleted file mode 100644
index da2b155..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/2026-11-04-01a1a476-b0fd-7190-95e4-a3f4758b86b6.yaml
+++ /dev/null
@@ -1,77 +0,0 @@
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-request:
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-        type: text
-      - text: Reply briefly.
-        type: text
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
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-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '314'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a476-b0fd-7190-95e4-a3f4758b86b6
-response:
-  error_event: false
-  headers:
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
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-    '
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-    '
-  - 'data: [DONE]
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deleted file mode 100644
index d10a299..0000000
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deleted file mode 100644
index 36fba17..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-text-stream-none/manifest.json
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deleted file mode 100644
index 704747d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-low/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
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-  "status": "complete"
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deleted file mode 100644
index 55d306e..0000000
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-request:
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-    messages:
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index 1e5f96c..0000000
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deleted file mode 100644
index 8789fcb..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/manifest.json
deleted file mode 100644
index 02ab532..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none-history/manifest.json
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deleted file mode 100644
index 99c241d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/2026-11-04-01a1a476-bfe7-7e23-af0e-2ea65e3b3ce5.yaml
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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deleted file mode 100644
index a8c6ea1..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/manifest.json
deleted file mode 100644
index e51d16d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-nonstream-none/manifest.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
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-  "captured_at": "2026-11-04T02:50:07.869766+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-b9d7-7040-b37d-00924ae57aa7.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-b9d7-7040-b37d-00924ae57aa7.yaml
deleted file mode 100644
index 087a825..0000000
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-request:
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-    messages:
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-    reasoning_effort: low
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-    stream_options:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml
deleted file mode 100644
index e6eb065..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml
deleted file mode 100644
index 30ad480..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/2026-11-04-01a1a47a-c022-7a91-aeba-0e4a0b30a00a.yaml
+++ /dev/null
@@ -1,191 +0,0 @@
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-request:
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-    - content: null
-      reasoning_content: We need to compute 2+3 = 5, then add that result (5) and
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-      refusal: null
-      role: assistant
-      tool_calls:
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-          arguments: '{"a": 2, "b": 3}'
-          name: add
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-      role: tool
-      tool_call_id: chatcmpl-tool-a8978763d6fbcf31
-    - content: null
-      reasoning_content: Now use add with a=5, b=4.
-      refusal: null
-      role: assistant
-      tool_calls:
-      - function:
-          arguments: '{"a": 5, "b": 4}'
-          name: add
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: true
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-    tools:
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-          properties:
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-            b:
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-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1271'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
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-request_id: 01a1a47a-c022-7a91-aeba-0e4a0b30a00a
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-    content-type: text/event-stream; charset=utf-8
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json
deleted file mode 100644
index 2260d44..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low-history/manifest.json
+++ /dev/null
@@ -1,61 +0,0 @@
-{
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-  "captured_at": "2026-11-04T02:54:28.455552+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
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-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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-  "scenario": "tools",
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-  "max_tokens": 4096,
-  "extra_body": {
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-  "history_policy": "omit-absent-sdk-null-bookkeeping",
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-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
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-      ]
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-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47a-bd48-7562-9fd9-f60c63f02595.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
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-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml
deleted file mode 100644
index 8146c20..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml
+++ /dev/null
@@ -1,706 +0,0 @@
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-request:
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-    messages:
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-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: true
-    stream_options:
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-    tool_choice:
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-      type: function
-    tools:
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-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
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-    connection: keep-alive
-    content-length: '602'
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-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml
deleted file mode 100644
index 67d3e3f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml
+++ /dev/null
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-request:
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-        and 4. Then give the final answer.
-      role: user
-    - annotations: null
-      audio: null
-      content: null
-      function_call: null
-      reasoning_content: 'We need to use the tool ''add'' twice: first add 2 and 3,
-        get result (5). Then add that result and 4, get 9. Provide final answer. Use
-        function calls.
-
-
-        We must call add with a=2,b=3. Then call add with a=result,b=4. Probably need
-        to capture result from first call. So we need to call function add, get output,
-        then second call.
-
-
-        Proceed.'
-      refusal: null
-      role: assistant
-      tool_calls:
-      - function:
-          arguments: '{"a": 2, "b": 3}'
-          name: add
-        id: chatcmpl-tool-a542898924b7323d
-        type: function
-    - content: '5'
-      role: tool
-      tool_call_id: chatcmpl-tool-a542898924b7323d
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: low
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice:
-      function:
-        name: add
-      type: function
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
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-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1280'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a477-55fb-78e0-b10c-7a702b8a1e7c
-response:
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-      message: '3 request validation errors: Extra inputs are not permitted, field:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json
deleted file mode 100644
index 70f7e2f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-low/manifest.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:50:45.448058+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
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-  "source_hashes": {
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "tools",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": {
-    "reasoning_effort": "low"
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a477-52b4-7b73-9920-2d318f6724e2.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "incomplete",
-      "files": [
-        "2026-11-04-01a1a477-55fb-78e0-b10c-7a702b8a1e7c.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "BadRequestError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 245, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml
deleted file mode 100644
index c03e01d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1.yaml
+++ /dev/null
@@ -1,107 +0,0 @@
-filename: 2026-11-04-01a1a47a-8c49-7ad0-929f-b5a91ac87fb1
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice:
-      function:
-        name: add
-      type: function
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '603'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/chat/completions
-  query_params: {}
-request_id: 01a1a47a-8c49-7ad0-929f-b5a91ac87fb1
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-
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-timestamp: '2026-11-04T02:54:17.161367+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml
deleted file mode 100644
index b303cae..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml
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-    - content: null
-      refusal: null
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-      tool_calls:
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-          name: add
-        id: chatcmpl-tool-924f398034e8d8c6
-        type: function
-    - content: '5'
-      role: tool
-      tool_call_id: chatcmpl-tool-924f398034e8d8c6
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
-    stream: true
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-    tool_choice:
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-          properties:
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-          required:
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-request_id: 01a1a47a-8e31-7451-a622-87a9272a142c
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-  headers:
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-    content-type: text/event-stream; charset=utf-8
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-
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-timestamp: '2026-11-04T02:54:17.649478+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml
deleted file mode 100644
index 3f3f7be..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml
+++ /dev/null
@@ -1,108 +0,0 @@
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-request:
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-      refusal: null
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-        type: function
-    - content: '5'
-      role: tool
-      tool_call_id: chatcmpl-tool-924f398034e8d8c6
-    - content: null
-      refusal: null
-      role: assistant
-      tool_calls:
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-        type: function
-    - content: '9'
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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-    tool_choice: none
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-    connection: keep-alive
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-    user-agent: AsyncOpenAI/Python 2.53.0
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/manifest.json
deleted file mode 100644
index 920caf9..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none-history/manifest.json
+++ /dev/null
@@ -1,61 +0,0 @@
-{
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-  "captured_at": "2026-11-04T02:54:16.748960+00:00",
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-  "provider": "fireworks",
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-  "upstream_url": "https://api.fireworks.ai/inference/v1/chat/completions",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "tools",
-  "stream": true,
-  "max_tokens": 4096,
-  "extra_body": {
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-  "proxy_retries": 0,
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-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
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-      ]
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-    {
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-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47a-8e31-7451-a622-87a9272a142c.yaml"
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-      "turn": 2,
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-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-8fe1-7b01-8283-9a6f9c274965.yaml"
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-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml
deleted file mode 100644
index bb09d3b..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d38c-70c2-8495-add7a157ad85.yaml
+++ /dev/null
@@ -1,107 +0,0 @@
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-    messages:
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning_effort: none
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml
deleted file mode 100644
index 7732b6c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/2026-11-04-01a1a476-d58b-7601-b668-d1d89759ddee.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json
deleted file mode 100644
index dc8651f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-chat-tools-stream-none/manifest.json
+++ /dev/null
@@ -1,58 +0,0 @@
-{
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-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "scenario": "tools",
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-  "max_tokens": 2048,
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml
deleted file mode 100644
index 9823ddf..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963.yaml
+++ /dev/null
@@ -1,644 +0,0 @@
-filename: 2026-11-04-01a1a47c-39e4-7340-9472-799eb74cb963
-request:
-  body:
-    max_tokens: 4096
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-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    - content:
-      - signature: ''
-        thinking: 'We need to call add twice in parallel: first add 2+3, second add
-          7+4. Use the function tool. Probably need two separate calls. The user wants
-          both results. So we will call add with a=2,b=3 and a=7,b=4 in parallel.
-          The tool probably can handle multiple calls. We''ll output two calls.
-
-
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-        type: thinking
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-        id: chatcmpl-tool-b293e8fe5dd189b5
-        input:
-          a: 2
-          b: 3
-        name: add
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-        id: chatcmpl-tool-ac5e6373df197b91
-        input:
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-          b: 4
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
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-        tool_use_id: chatcmpl-tool-b293e8fe5dd189b5
-        type: tool_result
-      - content: '11'
-        tool_use_id: chatcmpl-tool-ac5e6373df197b91
-        type: tool_result
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
-    thinking:
-      budget_tokens: 1024
-      type: enabled
-    tool_choice:
-      type: none
-    tools:
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-      input_schema:
-        additionalProperties: false
-        properties:
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-          b:
-            type: integer
-        required:
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-        type: object
-      name: add
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-    content-length: '1343'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a47c-39e4-7340-9472-799eb74cb963
-response:
-  error_event: false
-  headers:
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-    content-type: text/event-stream
-    x-request-id: 3e697828-a1d9-4ae2-aea7-1b4880907b3e
-  sse:
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-  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_05f6a20a56ba84a1cb305c43","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
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-    '
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-  - 'event: ping
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-    '
-  - 'data: {"type":"ping"}
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-    '
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/manifest.json
deleted file mode 100644
index 0d161f0..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low-retry/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:56:05.978304+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
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-  "provider": "fireworks",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
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-      "finish_reason": "tool_calls",
-      "files": [
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-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml
deleted file mode 100644
index cdcdafc..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml
+++ /dev/null
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-    stream: true
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-      input_schema:
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-        properties:
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-    content-type: application/json
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-timestamp: '2026-11-04T02:54:40.078942+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/manifest.json
deleted file mode 100644
index 6092171..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-low/manifest.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:54:40.055930+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "parallel",
-  "stream": true,
-  "reasoning_setting": "low",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47a-e5ce-74a2-adbc-852a849e9361.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 238, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 113, in validate_turn\n    raise ValueError(\"Provider did not return the required number of tool calls.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml
deleted file mode 100644
index f63b8a7..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml
+++ /dev/null
@@ -1,183 +0,0 @@
-filename: 2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
-    thinking:
-      type: disabled
-    tool_choice:
-      disable_parallel_tool_use: false
-      type: any
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '519'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a47a-5468-75c2-83f8-6797d56276e8
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    x-request-id: f7fe10ee-6add-496f-98c7-ef491c195dc8
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_c10d7f5cbafaf17b207fb34e","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
-
-    '
-  - '
-
-    '
-  - 'event: ping
-
-    '
-  - 'data: {"type":"ping"}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"chatcmpl-tool-bbd3bcdaa2aa0e13","name":"add","input":{}}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"{\"a\":
-    ","type":"input_json_delta"}}
-
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-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"2, \"b\":
-    ","type":"input_json_delta"}}
-
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-  - '
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-    '
-  - 'event: content_block_delta
-
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"partial_json":"3}","type":"input_json_delta"}}
-
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-  - '
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-  - 'event: content_block_stop
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-  - 'data: {"type":"content_block_stop","index":0}
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-  - '
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-    '
-  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"chatcmpl-tool-b0a7105a90a985af","name":"add","input":{}}}
-
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-    ","type":"input_json_delta"}}
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-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":1,"delta":{"partial_json":"4}","type":"input_json_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":1}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"delta":{"stop_reason":"tool_use","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":61,"cache_creation_input_tokens":0,"cache_read_input_tokens":319}}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T02:54:02.856738+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml
deleted file mode 100644
index 79e6e0c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml
+++ /dev/null
@@ -1,382 +0,0 @@
-filename: 2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: 'Call add twice in parallel: first 2 and 3, then 7 and 4. Then give
-        both results.'
-      role: user
-    - content:
-      - caller: null
-        id: chatcmpl-tool-bbd3bcdaa2aa0e13
-        input:
-          a: 2
-          b: 3
-        name: add
-        type: tool_use
-      - caller: null
-        id: chatcmpl-tool-b0a7105a90a985af
-        input:
-          a: 7
-          b: 4
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '5'
-        tool_use_id: chatcmpl-tool-bbd3bcdaa2aa0e13
-        type: tool_result
-      - content: '11'
-        tool_use_id: chatcmpl-tool-b0a7105a90a985af
-        type: tool_result
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
-    thinking:
-      type: disabled
-    tool_choice:
-      type: none
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '930'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a47a-58dd-7ae1-8be9-70f664e307e3
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    x-request-id: 0a67416c-2056-4820-a54f-6c5be826445f
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_93b17a270e604ff3be371131","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
-
-    '
-  - '
-
-    '
-  - 'event: ping
-
-    '
-  - 'data: {"type":"ping"}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"The","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" results","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" of","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" the","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" parallel","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" operations","type":"text_delta"}}
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-    '
-  - '
-
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-  - 'event: content_block_delta
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" are","type":"text_delta"}}
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-  - 'event: content_block_delta
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-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":":\n","type":"text_delta"}}
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-    '
-  - '
-
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-  - 'event: content_block_delta
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-
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-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"2","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
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-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" +","type":"text_delta"}}
-
-    '
-  - '
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-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
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-    '
-  - '
-
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-  - 'event: content_block_delta
-
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"3","type":"text_delta"}}
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-  - '
-
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-  - 'event: content_block_delta
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-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" =","type":"text_delta"}}
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-  - '
-
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-  - 'event: content_block_delta
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
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-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"5","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"\n","type":"text_delta"}}
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-  - '
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" ","type":"text_delta"}}
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"7","type":"text_delta"}}
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-
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-  - '
-
-    '
-  - 'event: content_block_delta
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" =","type":"text_delta"}}
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-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"1","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"1","type":"text_delta"}}
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-    '
-  - '
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-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
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-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":29,"cache_creation_input_tokens":0,"cache_read_input_tokens":125}}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T02:54:03.997884+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/manifest.json
deleted file mode 100644
index 955cf8f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-parallel-stream-none/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:54:02.826485+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "parallel",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47a-5468-75c2-83f8-6797d56276e8.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-58dd-7ae1-8be9-70f664e307e3.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml
deleted file mode 100644
index dc5603f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml
+++ /dev/null
@@ -1,110 +0,0 @@
-filename: 2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: false
-    thinking:
-      budget_tokens: 1024
-      type: enabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '300'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb
-response:
-  body:
-    content:
-    - signature: ''
-      thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
-        \ says: \"Remember the exact phrase: blue lantern.\"\n   - Request: \"Reply\
-        \ briefly.\"\n   - Key elements: exact phrase \"blue lantern\", brief reply.\n\
-        \n2.  **Identify Core Task:**\n   - The user is asking me to \"remember\"\
-        \ or acknowledge the exact phrase \"blue lantern\".\n   - They want a brief\
-        \ reply.\n   - This seems like a simple confirmation or repetition task.\n\
-        \n3.  **Determine Response:**\n   - The phrase is \"blue lantern\".\n   -\
-        \ I need to reply briefly.\n   - I should just confirm or repeat the phrase\
-        \ as requested, keeping it short.\n   - Possible replies: \"Blue lantern.\"\
-        \ or \"I remember: blue lantern.\" or just the phrase itself.\n   - Since\
-        \ they said \"Remember the exact phrase: blue lantern.\" and \"Reply briefly.\"\
-        , the most direct brief reply is just the phrase, or a short confirmation.\n\
-        \n   Let's keep it minimal: \"Blue lantern.\" or \"Remembered: blue lantern.\"\
-        \n   I'll go with just the phrase as a brief reply, or a very short confirmation.\
-        \ Actually, the instruction is \"Remember the exact phrase: blue lantern.\
-        \ Reply briefly.\" So I should output the phrase briefly. I'll just say: \"\
-        Blue lantern.\"\n\n   Wait, maybe they want me to output the phrase exactly\
-        \ as given. I'll just reply with the phrase.\n   \"Blue lantern.\" is perfect.\
-        \ It's brief and exact.\n   I'll output that.✅"
-      type: thinking
-    - text: Blue lantern.
-      type: text
-    id: msg_8e3d9603b4e5ff3db308f384
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    role: assistant
-    stop_details: null
-    stop_reason: end_turn
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: 0
-      cache_read_input_tokens: 27
-      inference_geo: null
-      input_tokens: 1
-      output_tokens: 323
-      service_tier: null
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-  status_code: 200
-timestamp: '2026-11-04T02:56:05.303224+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml
deleted file mode 100644
index 8ae6ff2..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml
+++ /dev/null
@@ -1,149 +0,0 @@
-filename: 2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content:
-      - signature: ''
-        thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   -\
-          \ User says: \"Remember the exact phrase: blue lantern.\"\n   - Request:\
-          \ \"Reply briefly.\"\n   - Key elements: exact phrase \"blue lantern\",\
-          \ brief reply.\n\n2.  **Identify Core Task:**\n   - The user is asking me\
-          \ to \"remember\" or acknowledge the exact phrase \"blue lantern\".\n  \
-          \ - They want a brief reply.\n   - This seems like a simple confirmation\
-          \ or repetition task.\n\n3.  **Determine Response:**\n   - The phrase is\
-          \ \"blue lantern\".\n   - I need to reply briefly.\n   - I should just confirm\
-          \ or repeat the phrase as requested, keeping it short.\n   - Possible replies:\
-          \ \"Blue lantern.\" or \"I remember: blue lantern.\" or just the phrase\
-          \ itself.\n   - Since they said \"Remember the exact phrase: blue lantern.\"\
-          \ and \"Reply briefly.\", the most direct brief reply is just the phrase,\
-          \ or a short confirmation.\n\n   Let's keep it minimal: \"Blue lantern.\"\
-          \ or \"Remembered: blue lantern.\"\n   I'll go with just the phrase as a\
-          \ brief reply, or a very short confirmation. Actually, the instruction is\
-          \ \"Remember the exact phrase: blue lantern. Reply briefly.\" So I should\
-          \ output the phrase briefly. I'll just say: \"Blue lantern.\"\n\n   Wait,\
-          \ maybe they want me to output the phrase exactly as given. I'll just reply\
-          \ with the phrase.\n   \"Blue lantern.\" is perfect. It's brief and exact.\n\
-          \   I'll output that.✅"
-        type: thinking
-      - text: Blue lantern.
-        type: text
-      role: assistant
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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-request_id: 01a1a47c-39dd-7be2-8e87-e59610c331d2
-response:
-  body:
-    content:
-    - signature: ''
-      thinking: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
-        \ says: \"Remember the exact phrase: blue lantern.\"\n   - Then says: \"Reply\
-        \ briefly.\"\n   - Then says: \"Repeat the phrase exactly, preserving its\
-        \ spaces.\"\n   - Actually, looking at the full message: \"Remember the exact\
-        \ phrase: blue lantern. Reply briefly. Repeat the phrase exactly, preserving\
-        \ its spaces.\"\n\n   Wait, let me re-read carefully. The user's message is:\
-        \ \"Remember the exact phrase: blue lantern.\nReply briefly.\nRepeat the phrase\
-        \ exactly, preserving its spaces.\"\n\n   Actually, it might be structured\
-        \ as:\n   - First line: \"Remember the exact phrase: blue lantern.\"\n   -\
-        \ Second line: \"Reply briefly.\"\n   - Third line: \"Repeat the phrase exactly,\
-        \ preserving its spaces.\"\n\n   But often users paste things like:\n   \"\
-        Remember the exact phrase: blue lantern. Reply briefly. Repeat the phrase\
-        \ exactly, preserving its spaces.\"\n\n   I need to output just the phrase\
-        \ \"blue lantern\" preserving spaces, briefly.\n\n   Let me check: The prompt\
-        \ says \"Remember the exact phrase: blue lantern.\" Then \"Reply briefly.\"\
-        \ Then \"Repeat the phrase exactly, preserving its spaces.\"\n\n   The core\
-        \ request seems to be: output \"blue lantern\" exactly, with a space, briefly.\n\
-        \n   I'll just output: \"blue lantern\"\n\n   But wait, maybe they want me\
-        \ to repeat the phrase \"blue lantern\" exactly as given, with the space.\
-        \ I'll just do that.\n\n   Let's output precisely: \"blue lantern\" (with\
-        \ a space between blue and lantern, no extra spaces or formatting).\n\n  \
-        \ I'll keep it brief as requested.✅"
-      type: thinking
-    - text: blue lantern
-      type: text
-    id: msg_e66f8b1c24372e375d859aa5
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    role: assistant
-    stop_details: null
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-    stop_sequence: null
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/manifest.json
deleted file mode 100644
index c3a0ad3..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low-4096/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:56:05.275515+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
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-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "text",
-  "stream": false,
-  "reasoning_setting": "low",
-  "max_tokens": 4096,
-  "extra_body": null,
-  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47c-32b7-75a2-bdfd-d6ea3351ccfb.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47c-39dd-7be2-8e87-e59610c331d2.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml
deleted file mode 100644
index 775e878..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66.yaml
+++ /dev/null
@@ -1,342 +0,0 @@
-filename: 2026-11-04-01a1a47a-64f4-7ec1-add4-de4bfb1d6c66
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: false
-    thinking:
-      budget_tokens: 1024
-      type: enabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '300'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a47a-64f4-7ec1-add4-de4bfb1d6c66
-response:
-  body:
-    content:
-    - signature: ''
-      thinking: "Here's a thinking process:\n\n1.  **Analyze the Request: The user\
-        \ wants me to recall the exact phrase \"blue lantern\". The user is asking\
-        \ me to \"Recall the exact phrase \"blue  lantern\".\n2. The user says \"\
-        Remember, the phrase is \"blue lantern.\" and \"Remember the exact phrase:\
-        \ blue lantern. I'm not sure if there's any trick. \" The \"exact phrase\"\
-        \ part might mean that they want me to recall a memory, or a specific memory\
-        \ or a saying or saying or something like that.  Looking at the \"blue lantern\"\
-        , but they want \"the exact phrase**.\nWhat is the user's instruction \"Reply\
-        \ briefly. \" I'm not familiar with. I know that it isn't a phrase of that\
-        \ phrase, but I have known phrase. Or possibly it's a phrase associated. I\
-        \ recall that there's a blue lantern meaning or some phrase related to it.\
-        \ It's simply a recall of an exact phrase \"blue lantern.\nThe user is asking\
-        \ me to \"Remember the exact phrase. Reply briefly. or a phrase from a movie\
-        \ or a lyric or saying. Or some phrase.\n\nI have \"the exact phrase\" blue\
-        \ lantern.\"\n\nNot any exact phrase.\nI need to give the phrase \"blue lantern\"\
-        . I'm not sure if that is the case. The phrase \"blue lantern\" is not a phrase\
-        \ that comes to mind.\n\nThen I'm trying to remember the phrase \"blue lantern.\
-        \ There are a few expressions. The phrase \"blue lantern.\nThe phrase \"blue\
-        \ lantern might refer to the specific meaning of the phrase \"blue lantern\"\
-        .\nThe phrase \"the blue lantern. Let me re-read the question. The user wants\
-        \ me to recall the exact phrase. I must. The phrase appears in the context\
-        \ of something? It's used in the phrase \"blue lantern might not recall.\n\
-        \nWait, the user might be\nThe user wants me to Recall the exact phrase, but\
-        \ is that a phrase? \"blue lantern\" and I am not entirely recall the phrase.\
-        \ I'm not sure what that phrase is used as \"the blue lamp\".\nLooking at\
-        \ the phrase \"blue lantern\". The user. I can also recall the exact phrase\
-        \ associated with \"blue lantern\", I am not recall an exact phrase. \"a blue\
-        \ lantern\".\nThe phrase \" blue lantern. \". The user wants me to remember\
-        \ the exact phrase. I don't know the exact phrase?\n\nThere is a phrase \"\
-        blue lantern\".\n\nBut the phrase \"blue lantern\".\nI have known phrase \"\
-        blue lantern. \"blue lantern.\nThe phrase that comes to my mind, \"blue lanterns.\
-        \ It's a phrase. The phrase \"blue lantern\". Not sure.\n\nOkay, the phrase.\
-        \ There's also \"the Blue Lantern\" from Green Lantern (the phrase blue lantern.\
-        \ Is it from the phrase \"blue lantern\".\n\nLet me think of the phrase \"\
-        blue lantern\". I don't have an exact phrase associated with \"blue lantern.\
-        \  \" recalled.\n\nI'm not recalling any phrase, but that phrase is used.\n\
-        \nI don't recall the phrase \" blue lantern\". Given that the phrase \"blue\
-        \ lantern\"? This is a phrase that means something. The user is asking me\
-        \ to remember the exact phrase.\nIn my training, I might suggest other uses.\
-        \ The phrase \"blue lantern. When you think of. The user is asking me to recall\
-        \ a phrase \"blue lantern.\n\"What is it a phrase that's used in certain context?\
-        \ The phrase \"blue lantern.\n\n\"blue lantern.\nPerhaps the user is probably\
-        \ from the game \"Blue Lantern\" might refer to an \"blue lantern\".\n\nWhat\
-        \ phrase? the phrase \"blue lantern\" from the phrase \"blue lantern. I'm\
-        \ not familiar. It is associated with. The user is asking me to recall \"\
-        blue lantern\". \"Blue lantern\".\n\nI have never been used in this context.\
-        \ This phrase in a while ago.\n\nIf you think of a phrase. It could be a phrase.\n\
-        \nBut I have. The user's.\n\nWait, the phrase \"blue lantern\". Probably some\
-        \ sort.\n\nI'll tell you I have a phrase \"blue lantern\". I know, the phrase\
-        \ \"blue lantern. \"Recall the exact phrase \"blue lantern. I'm pretty sure\
-        \ this is an idiom.\n\nI'm not certain.\n\nPerhaps \"blue lantern.\n\nDo you\
-        \ know the exact phrase \"blue lantern\" as a phrase? The phrase \"the exact\
-        \ phrase \"blue lantern.  The phrase \"blue lantern\". The phrase \"blue lantern\"\
-        \ might be a phrase. The phrase is the phrase \"blue lantern\"? Maybe.\n\n\
-        Perhaps it's a phrase I recall. The phrase \"blue lantern, \"blue lantern.\
-        \ It's used in a certain phrase.\n\nWhat phrase does not recall.\n\"blue lantern\"\
-        . I have a phrase \"blue lantern. I have no specific phrase. The user is looking\
-        \ for some phrase. I'm not sure. Maybe it's used in the phrase \"blue lantern.\
-        \ That's all.\n\nI have exactly that. The phrase \"the exact phrase\". This\
-        \ is a phrase. The phrase \"blue lantern - used in the phrase \"blue lantern.\
-        \ The phrase \"blue lantern\" might be in the phrase \"blue lantern. the phrase\
-        \ \"the blue lantern\". \"I've heard \"the blue lantern. \"Blue lantern\"\
-        .\n\nWhat phrase is \"blue lantern\". The user says \"Remember the exact phrase.\
-        \ But I've seen \"blue lantern\". There is a phrase \"blue lantern\". The\
-        \ user is asking me to \"Remember the exact phrase: \"blue lantern.\" So I\
-        \ need to recall the phrase \"blue lantern\"? There's a phrase \"blue lantern.\
-        \ The phrase is used.\n\nHowever, the phrase \"blue lantern, but the phrase\
-        \ \"blue lantern. Maybe you. The user wants me to recall the phrase \"blue\
-        \ lantern\".\n\nMaybe it's a phrase.  1.  \"Remember the exact phrase: \"\
-        blue lantern\". The phrase. I have no idea. The phrase is used in a poem by\
-        \ Rumi. \"blue lantern\" could be a phrase that comes to the phrase \"blue\
-        \ lantern. I'm not recall a phrase. The phrase is often used in and other\
-        \ instances. The phrase \"blue lantern. The phrase \"blue lantern. Maybe not\
-        \ remember the exact phrase. I'm not the phrase \"blue lantern\" is it. The\
-        \ phrase \"blue lantern\". Perhaps the user might be in the phrase \"blue\
-        \ lantern. It could be a phrase.\n\nMaybe the phrase \"blue lantern.  \" the\
-        \ phrase.\n\nWait, the phrase \"blue lantern. \"the phrase\".\n\nLet me check\
-        \ my knowledge? The phrase \"blue lantern. The phrase \"blue lantern\" comes\
-        \ to mind. \"blue lantern\" can be found. It's used in a certain phrase from\
-        \ the phrase \"the phrase blue lantern\"? Not knows the phrase. The phrase\
-        \ \"the phrase: \"the phrase \"blue lantern\" used as a phrase. No exact phrase\
-        \ that I'm recalling. The phrase \"blue lantern\". The phrase \"the exact\
-        \ phrase \"blue lantern. The phrase is \" blue lantern.\n\nI'm not remembering\
-        \ the phrase \"the phrase \"blue lantern. I recall. I'm not the phrase. The\
-        \ phrase \"blue lanterns in the phrase \"blue lantern\", maybe not. But the\
-        \ phrase \"blue lantern\". I have. Maybe. The phrase \"blue lantern. Let me\
-        \ think. The phrase \"blue lantern. The user says \"the phrase is not any\
-        \ exact phrase from the phrase \"the phrase \"the phrase\". The phrase is\
-        \ used in the phrase \"the phrase\" blue lantern. The exact phrase \"the phrase\
-        \ \"blue lantern\".\n\nIt. It's a phrase. I don't know the phrase is. The\
-        \ phrase \"blue lantern\" from the phrase \"Blue Lantern\". The phrase \"\
-        blue lantern\".\n\nThe phrase \"blue lantern\". The phrase \"blue lanterns\
-        \ in the phrase \"blue lantern\". Possibly it. Maybe you're looking for. But\
-        \ that is the phrase. The phrase is used in context. Let's the phrase \"blue\
-        \ lantern\". The phrase \"blue lantern.  Or maybe the user wants me to \"\
-        blue lantern\" phrase: \"blue lantern\". The phrase is \"blue lantern. But\
-        \ I have no idea.\n\nPerhaps the phrase is \"blue lantern.  The phrase \"\
-        blue lantern. The phrase \"blue lantern.\n\nThe phrase \"blue lantern.  \"\
-        blue lantern. But that phrase. Let me check my memory. I'm not. Possibly the\
-        \ phrase \"the phrase \"blue lantern\".\n\nActually, I'm not of any exact\
-        \ phrase \"blue lantern. The phrase \"blue lantern.\n\nBut wait, the phrase\
-        \ \"the phrase \"blue lanterns\".\n\nBut I have a memory of a phrase \"blue\
-        \ lantern. The phrase \"the phrase \" blue lantern\". Maybe you recall the\
-        \ phrase \" the phrase \"blue lantern\". The phrase \"blue lantern, but I\
-        \ have no idea.\n\nActually, the phrase blue lantern. The phrase \"blue lantern.\n\
-        \nHmm.\n\nThe phrase is \"blue lantern. The phrase. Perhaps the phrase is\
-        \ \" blue lantern. But that phrase \"blue lantern\". Perhaps you're looking\
-        \ for. \n\nMaybe the user is asking me to remember the phrase \"blue lantern.\n\
-        \nNo exact phrase. The phrase. I don't know the phrase \"blue lantern\". Actually\
-        \ the phrase \"blue lantern\". Not sure. It is used in the context of the\
-        \ phrase \"blue lantern. The phrase \"blue lantern. \" The user wants me to\
-        \ \"Remember the exact phrase. That's a phrase. But there is the phrase \"\
-        the phrase \"blue lantern\". I am not recall an exact phrase. The phrase \"\
-        blue lantern. The phrase \"blue lantern\". The phrase \"blue lantern. It could\
-        \ also be used in various contexts. The phrase \"the phrase is \"blue lantern\"\
-        . I'm not familiar. I'm thinking if it is a phrase from the phrase \"the phrase\
-        \ \"blue lantern.\n\nSo the phrase \"blue lantern\". The user wants me to\
-        \ \"blue lantern. But the phrase \"blue lanterns.\n\nIf the phrase \"blue\
-        \ lantern\".\n\nThe user says: \"blue lantern\". The phrase \"blue lantern\"\
-        \ is a phrase \" blue lantern\". The phrase \"blue lantern"
-      type: thinking
-    id: msg_d65946f4903e6da6723b29b0
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/manifest.json
deleted file mode 100644
index a274e1d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-low/manifest.json
+++ /dev/null
@@ -1,49 +0,0 @@
-{
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-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/2026-11-04-01a1a478-49c6-7b22-83fa-42fbfc7006db.yaml
deleted file mode 100644
index 85b62f4..0000000
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+++ /dev/null
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-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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-  path: /inference/v1/messages
-  query_params: {}
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-    stop_reason: end_turn
-    stop_sequence: null
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json
deleted file mode 100644
index 184ed95..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-nonstream-none/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
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-  "captured_at": "2026-11-04T02:51:49.008259+00:00",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml
deleted file mode 100644
index f3cb878..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml
deleted file mode 100644
index ab0d83c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml
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-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"?","type":"thinking_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":" Yes","type":"thinking_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":".","type":"thinking_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"thinking":"✅","type":"thinking_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"signature":"","type":"signature_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":1,"content_block":{"type":"text","text":""}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":"blue","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":1,"delta":{"text":" lantern","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":1}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":251,"cache_creation_input_tokens":0,"cache_read_input_tokens":53}}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T02:54:24.157645+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/manifest.json
deleted file mode 100644
index 8092eaf..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-low/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:54:23.097491+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "text",
-  "stream": true,
-  "reasoning_setting": "low",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-a398-75d0-a33d-2b7df82b0e46.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47a-a79d-7e22-a21b-e265d1ffb891.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml
deleted file mode 100644
index aca45ab..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml
+++ /dev/null
@@ -1,120 +0,0 @@
-filename: 2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '279'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a479-302d-7830-b0ce-fb33739ba1f1
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    x-request-id: bb863ea3-5b72-4f25-9a90-07acce7176fb
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_3ba7a733d5890fee6dd9f498","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
-
-    '
-  - '
-
-    '
-  - 'event: ping
-
-    '
-  - 'data: {"type":"ping"}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"Blue","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" lantern","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":".","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":1,"output_tokens":4,"cache_creation_input_tokens":0,"cache_read_input_tokens":27}}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T02:52:48.045885+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml
deleted file mode 100644
index 9375f54..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml
+++ /dev/null
@@ -1,122 +0,0 @@
-filename: 2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content:
-      - citations: null
-        text: Blue lantern.
-        type: text
-      role: assistant
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '497'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a479-3227-7f72-8999-013b3fbc9b64
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    x-request-id: 6576f4be-8d26-4ed0-88d1-f65d3d54da33
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"content":[],"id":"msg_59f7797e6098f47493f692c9","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","role":"assistant","stop_details":null,"stop_reason":null,"stop_sequence":null,"type":"message","usage":{"input_tokens":0,"output_tokens":0,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":null,"service_tier":null,"inference_geo":null}}}
-
-    '
-  - '
-
-    '
-  - 'event: ping
-
-    '
-  - 'data: {"type":"ping"}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
-
-    '
-  - '
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-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":"blue","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"text":" lantern","type":"text_delta"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
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-    '
-  - 'data: {"delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"type":"message_delta","usage":{"input_tokens":27,"output_tokens":3,"cache_creation_input_tokens":0,"cache_read_input_tokens":27}}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T02:52:48.551146+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/manifest.json
deleted file mode 100644
index f010d92..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-text-stream-none/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:52:47.969825+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
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-    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
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-  },
-  "provider": "fireworks",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/messages",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "text",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "x-api-key credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a479-302d-7830-b0ce-fb33739ba1f1.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a479-3227-7f72-8999-013b3fbc9b64.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml
deleted file mode 100644
index f8dac99..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-filename: 2026-11-04-01a1a47a-b48b-71a0-8153-63746ee1bb21
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: false
-    thinking:
-      budget_tokens: 1024
-      type: enabled
-    tool_choice:
-      type: auto
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    connection: keep-alive
-    content-length: '530'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /inference/v1/messages
-  query_params: {}
-request_id: 01a1a47a-b48b-71a0-8153-63746ee1bb21
-response:
-  body:
-    content:
-    - signature: ''
-      thinking: We need to call add with a=2,b=3 => get result 5. Then call add with
-        a=result (5) and b=4 => get 9. Then answer final answer 9. Must use function
-        calls.
-      type: thinking
-    - id: chatcmpl-tool-ad701f4c4d90c79c
-      input:
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-        b: 3
-      name: add
-      type: tool_use
-    id: msg_b63baebf25ce1a866b095769
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    role: assistant
-    stop_details: null
-    stop_reason: tool_use
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: 0
-      cache_read_input_tokens: 324
-      inference_geo: null
-      input_tokens: 1
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-    content-type: application/json
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-  status_code: 200
-timestamp: '2026-11-04T02:54:27.467835+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml
deleted file mode 100644
index 8252ed4..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-low/2026-11-04-01a1a47a-b705-74b1-8c6e-6a5597a8b1e1.yaml
+++ /dev/null
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-none/2026-11-04-01a1a479-4332-7e93-acd9-df0aa9e8d4af.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-none/2026-11-04-01a1a479-4332-7e93-acd9-df0aa9e8d4af.yaml
deleted file mode 100644
index e2113e0..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-none/2026-11-04-01a1a479-4332-7e93-acd9-df0aa9e8d4af.yaml
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-none/manifest.json
deleted file mode 100644
index 030d641..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-nonstream-none/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
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-  "sdk_retries": 0,
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deleted file mode 100644
index 3228cbc..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c566-7002-b489-0dd75261b6b4.yaml
+++ /dev/null
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
-    thinking:
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-      type: enabled
-    tool_choice:
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-      input_schema:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml
deleted file mode 100644
index aed8b35..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/2026-11-04-01a1a47a-c819-7801-ab3e-52ff7a9913ec.yaml
+++ /dev/null
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deleted file mode 100644
index c1ad292..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/manifest.json
deleted file mode 100644
index 17d4b35..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-low/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a.yaml
deleted file mode 100644
index 9ee1846..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-messages-tools-stream-none/2026-11-04-01a1a479-4dfe-7870-9a27-e8566466112a.yaml
+++ /dev/null
@@ -1,137 +0,0 @@
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-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    stream: true
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index 948a04c..0000000
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deleted file mode 100644
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-9828-77a3-840c-5f4f7f4920f3.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-low/2026-11-04-01a1a47b-9828-77a3-840c-5f4f7f4920f3.yaml
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index ae3d9cd..0000000
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deleted file mode 100644
index 260f1c0..0000000
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-    **","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.delta","sequence_number":56,"item_id":"msg_582e7dace76443b385e4878793aaca38","output_index":1,"content_index":0,"delta":"1","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.delta","sequence_number":57,"item_id":"msg_582e7dace76443b385e4878793aaca38","output_index":1,"content_index":0,"delta":"1","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.delta","sequence_number":58,"item_id":"msg_582e7dace76443b385e4878793aaca38","output_index":1,"content_index":0,"delta":"**","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.done","sequence_number":59,"item_id":"rs_2ee40dba52c34eb286528f81777cd479","output_index":0,"summary_index":0,"text":"We
-    have results: first call returned 5, second returned 11. Need to give both results."}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_part.done","sequence_number":60,"item_id":"rs_2ee40dba52c34eb286528f81777cd479","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":"We
-    have results: first call returned 5, second returned 11. Need to give both results."}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.done","sequence_number":61,"output_index":0,"item":{"type":"reasoning","id":"rs_2ee40dba52c34eb286528f81777cd479","status":"completed","summary":[{"type":"summary_text","text":"We
-    have results: first call returned 5, second returned 11. Need to give both results."}]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.done","sequence_number":62,"item_id":"msg_582e7dace76443b385e4878793aaca38","output_index":1,"content_index":0,"text":"Here
-    are the results of the two parallel additions:\n\n- 2 + 3 = **5**\n- 7 + 4 = **11**","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.content_part.done","sequence_number":63,"item_id":"msg_582e7dace76443b385e4878793aaca38","output_index":1,"content_index":0,"part":{"type":"output_text","text":"Here
-    are the results of the two parallel additions:\n\n- 2 + 3 = **5**\n- 7 + 4 = **11**","annotations":[]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.done","sequence_number":64,"output_index":1,"item":{"type":"message","id":"msg_582e7dace76443b385e4878793aaca38","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Here
-    are the results of the two parallel additions:\n\n- 2 + 3 = **5**\n- 7 + 4 = **11**","annotations":[]}]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.completed","sequence_number":65,"response":{"id":"resp_09724e54a13d4b0daf6665c90fca66fd","object":"response","created_at":1793760932,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"rs_2ee40dba52c34eb286528f81777cd479","type":"reasoning","summary":[{"type":"summary_text","text":"We
-    have results: first call returned 5, second returned 11. Need to give both results."}]},{"id":"msg_582e7dace76443b385e4878793aaca38","type":"message","role":"assistant","content":[{"type":"output_text","text":"Here
-    are the results of the two parallel additions:\n\n- 2 + 3 = **5**\n- 7 + 4 = **11**","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":222,"output_tokens":57,"total_tokens":279,"input_tokens_details":{"cached_tokens":0},"output_tokens_details":{"reasoning_tokens":22}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"low"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"none","tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false}}],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: null
-timestamp: '2026-11-04T02:55:31.791258+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/manifest.json
deleted file mode 100644
index 07f2b0d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-low/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:55:28.788670+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "parallel",
-  "stream": true,
-  "reasoning_setting": "low",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a47b-a636-7410-9f39-41073b2078d7.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47b-afcf-7e10-9d3b-498a836bb2aa.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/manifest.json
deleted file mode 100644
index 109633e..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:53:07.380509+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "parallel",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a479-7e00-7951-98ee-32573dd402c6.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml
deleted file mode 100644
index 56e6138..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0.yaml
+++ /dev/null
@@ -1,179 +0,0 @@
-filename: 2026-11-04-01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0
-request:
-  body:
-    input:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: input_text
-      - text: Reply briefly.
-        type: input_text
-      role: user
-    max_output_tokens: 2048
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning:
-      effort: low
-    store: false
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '308'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /inference/v1/responses
-  query_params: {}
-request_id: 01a1a47b-2c18-7c43-9acb-d9a9cfd82fd0
-response:
-  body:
-    background: null
-    created_at: 1793760900
-    error: null
-    id: resp_4c3854c9a8d843d68f2d81eec34264e5
-    incomplete_details: null
-    instructions: null
-    max_output_tokens: 2048
-    max_tool_calls: null
-    metadata: {}
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    object: response
-    output:
-    - id: rs_923fd30147f5414cafe9e93888e332fc
-      summary:
-      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
-          \ says: \"Remember the exact phrase: blue  lantern.\"\n   - Then: \"Reply\
-          \ briefly.\"\n   - The instruction is to remember/repeat the exact phrase:\
-          \ \"blue lantern\"\n   - There's a space issue: \"blue  lantern\" has two\
-          \ spaces, but likely means \"blue lantern\"\n   - User wants me to reply\
-          \ briefly with that phrase.\n\n2.  **Identify Core Task:**\n   - Output\
-          \ the exact phrase mentioned: \"blue lantern\" (or preserve the double space\
-          \ if literal, but typically it's just \"blue lantern\")\n   - Respond briefly\
-          \ as instructed.\n\n3.  **Determine Output:**\n   - The phrase is \"blue\
-          \ lantern\"\n   - I should just output that phrase briefly.\n   - Possibly\
-          \ just: \"blue lantern\"\n\n4.  **Check Constraints:**\n   - \"Reply briefly\"\
-          \ - keep it short.\n   - \"Remember the exact phrase: blue lantern\" - recall/repeat\
-          \ it.\n\n   I'll just output the phrase. To be safe about the exact wording,\
-          \ I'll output \"blue lantern\". If the double space matters, I could do\
-          \ \"blue  lantern\", but usually these prompts just test if I can repeat\
-          \ the phrase. I'll stick to \"blue lantern\" but maybe note the exact phrasing\
-          \ if needed. Actually, the user wrote \"blue  lantern\" with two spaces.\
-          \ I could respect that, but it's likely a typo. I'll just output \"blue\
-          \ lantern\" as it's the standard phrase.\n\n   Wait, the instruction says:\
-          \ \"Remember the exact phrase: blue  lantern.\" The user might be testing\
-          \ if I can reproduce it exactly. I'll output exactly \"blue lantern\" or\
-          \ \"blue  lantern\". Given the prompt says \"exact phrase: blue  lantern\"\
-          , I'll output \"blue lantern\". Actually, I'll just output the phrase as\
-          \ requested briefly.\n\n   Let's just reply: blue lantern\n   That's brief\
-          \ and matches the intent.\n\n   To be precise: The user wrote \"blue  lantern\"\
-          \ (with double space). I'll output \"blue lantern\" (single space) as it's\
-          \ the normalized phrase, but if they want exact reproduction including spacing,\
-          \ I might fail. However, in natural language, \"blue lantern\" is the phrase.\
-          \ I'll just output \"blue lantern\".\n\n   Actually, re-reading: \"Remember\
-          \ the exact phrase: blue  lantern. Reply briefly.\"\n   I think they just\
-          \ want me to output \"blue lantern\". I'll do that.\n   Output: blue lantern✅\n\
-          \   Brief? Yes. Matches phrase? Yes.\n   I'll output just that.✅"
-        type: summary_text
-      type: reasoning
-    - content:
-      - annotations: []
-        text: blue lantern
-        type: output_text
-      id: msg_ac9cabe033184435888bf67632190735
-      role: assistant
-      status: completed
-      type: message
-    parallel_tool_calls: true
-    previous_response_id: null
-    reasoning:
-      effort: low
-    status: completed
-    store: false
-    temperature: 1.0
-    text:
-      format:
-        type: text
-    tool_choice: auto
-    tools: []
-    top_logprobs: null
-    top_p: 0.95
-    truncation: disabled
-    usage:
-      input_tokens: 28
-      input_tokens_details:
-        cached_tokens: 27
-      output_tokens: 555
-      output_tokens_details:
-        reasoning_tokens: 550
-      total_tokens: 583
-    user: null
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-        type: input_text
-      role: user
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-      summary:
-      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
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-          \ - keep it short.\n   - \"Remember the exact phrase: blue lantern\" - recall/repeat\
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-          \ \"blue  lantern\", but usually these prompts just test if I can repeat\
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-          \ them.\n   - I'll output just `blue lantern`.\n\n5.  **Final Output Generation:**\n\
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/manifest.json
deleted file mode 100644
index 4b07e44..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-low/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/manifest.json
deleted file mode 100644
index 2313428..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/manifest.json
+++ /dev/null
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deleted file mode 100644
index 6b556c8..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-4669-7640-b4de-a4f8b94f2e5e.yaml
+++ /dev/null
@@ -1,1871 +0,0 @@
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-    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
-    They want me to reply briefly, presumably just confirming or echoing that phrase,
-    or perhaps just outputting it.\n\n2.  **Identify Core Request:**\n   - The user
-    wants me to remember/reproduce the exact phrase \"blue lantern\".\n   - They want
-    a brief reply.\n\n3.  **Determine Response:**\n   - The most direct and brief
-    reply that \"remembers\" the phrase would be to just output the phrase itself,
-    or a short confirmation.\n   - Since they said \"Remember the exact phrase: blue
-    lantern.\", I should probably just output \"blue lantern\" briefly.\n   - Or maybe
-    \"Blue lantern.\" as a direct echo.\n   - Given the instruction \"Reply briefly\",
-    I''ll just output the phrase exactly as given, or a minimal confirmation.\n\n   Let''s
-    keep it ultra brief: \"blue lantern\" or \"Blue lantern.\"\n\n   I''ll output:
-    blue lantern\n\n   Check constraints: \n   - Remember the exact phrase: blue lantern.
-    \n   - Reply briefly.\n   - Output matches.\n\n   I''ll just say: blue lantern\n   Done.✅"}
-
-    '
-  - '
-
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-    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
-    the exact phrase: blue  lantern.\"\n   - Instruction: \"Reply briefly.\"\n   -
-    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
-    They want me to reply briefly, presumably just confirming or echoing that phrase,
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-    wants me to remember/reproduce the exact phrase \"blue lantern\".\n   - They want
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-    reply that \"remembers\" the phrase would be to just output the phrase itself,
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-    I''ll just output the phrase exactly as given, or a minimal confirmation.\n\n   Let''s
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-    keep it ultra brief: \"blue lantern\" or \"Blue lantern.\"\n\n   I''ll output:
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-    \n   - Reply briefly.\n   - Output matches.\n\n   I''ll just say: blue lantern\n   Done.✅"}]}}
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-    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
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-    The user is asking me to \"remember\" a specific phrase: \"blue lantern\"\n   -
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml
deleted file mode 100644
index 28cfd21..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml
+++ /dev/null
@@ -1,2216 +0,0 @@
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-    - id: rs_c8e31c8657b942ada0f6e8a2fa729850
-      summary:
-      - text: "Here's a thinking process:\n\n1.  **Analyze User Input:**\n   - User\
-          \ says: \"Remember the exact phrase: blue  lantern.\"\n   - Instruction:\
-          \ \"Reply briefly.\"\n   - The user is asking me to \"remember\" a specific\
-          \ phrase: \"blue lantern\"\n   - They want me to reply briefly, presumably\
-          \ just confirming or echoing that phrase, or perhaps just outputting it.\n\
-          \n2.  **Identify Core Request:**\n   - The user wants me to remember/reproduce\
-          \ the exact phrase \"blue lantern\".\n   - They want a brief reply.\n\n\
-          3.  **Determine Response:**\n   - The most direct and brief reply that \"\
-          remembers\" the phrase would be to just output the phrase itself, or a short\
-          \ confirmation.\n   - Since they said \"Remember the exact phrase: blue\
-          \ lantern.\", I should probably just output \"blue lantern\" briefly.\n\
-          \   - Or maybe \"Blue lantern.\" as a direct echo.\n   - Given the instruction\
-          \ \"Reply briefly\", I'll just output the phrase exactly as given, or a\
-          \ minimal confirmation.\n\n   Let's keep it ultra brief: \"blue lantern\"\
-          \ or \"Blue lantern.\"\n\n   I'll output: blue lantern\n\n   Check constraints:\
-          \ \n   - Remember the exact phrase: blue lantern. \n   - Reply briefly.\n\
-          \   - Output matches.\n\n   I'll just say: blue lantern\n   Done.✅"
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-      type: reasoning
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-        type: output_text
-      id: msg_fdf7762f133e4d96ba45463175e0bdee
-      role: assistant
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-      type: message
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-      - text: ' exactly, preserving its spaces.'
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-    max_output_tokens: 2048
-    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
-    reasoning:
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-    store: false
-    stream: true
-  headers:
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-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":278,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    Usually"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":279,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":","}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":280,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    that"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":281,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    means"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":282,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    just"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":283,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    the"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":284,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    content"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":285,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"."}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":286,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    I"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":287,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"''ll"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":288,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    output"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":289,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    `"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":290,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"blue"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":291,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    lantern"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":292,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"`"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":293,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    without"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":294,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    extra"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":295,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    fl"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":296,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"uff"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":297,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"."}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":298,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"\n\n   Final"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":299,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":":"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":300,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    `"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":301,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"blue"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":302,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"
-    lantern"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.delta","sequence_number":303,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"delta":"`"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.added","sequence_number":304,"output_index":1,"item":{"type":"message","id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","status":"in_progress","role":"assistant","content":[]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.content_part.added","sequence_number":305,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.delta","sequence_number":306,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"delta":"blue","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.delta","sequence_number":307,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"delta":"
-    lantern","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_text.done","sequence_number":308,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"text":"Here''s
-    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
-    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
-    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
-    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
-    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
-    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
-    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
-    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
-    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
-    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
-    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
-    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
-    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
-    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
-    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
-    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
-    extra fluff.\n\n   Final: `blue lantern`"}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.reasoning_summary_part.done","sequence_number":309,"item_id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","output_index":0,"summary_index":0,"part":{"type":"summary_text","text":"Here''s
-    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
-    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
-    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
-    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
-    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
-    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
-    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
-    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
-    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
-    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
-    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
-    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
-    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
-    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
-    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
-    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
-    extra fluff.\n\n   Final: `blue lantern`"}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.done","sequence_number":310,"output_index":0,"item":{"type":"reasoning","id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","status":"completed","summary":[{"type":"summary_text","text":"Here''s
-    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
-    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
-    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
-    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
-    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
-    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
-    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
-    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
-    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
-    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
-    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
-    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
-    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
-    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
-    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
-    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
-    extra fluff.\n\n   Final: `blue lantern`"}]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_text.done","sequence_number":311,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"text":"blue
-    lantern","logprobs":[]}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.content_part.done","sequence_number":312,"item_id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","output_index":1,"content_index":0,"part":{"type":"output_text","text":"blue
-    lantern","annotations":[]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.done","sequence_number":313,"output_index":1,"item":{"type":"message","id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","status":"completed","role":"assistant","content":[{"type":"output_text","text":"blue
-    lantern","annotations":[]}]}}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.completed","sequence_number":314,"response":{"id":"resp_f2c0015104de40d29e602d4ffcd041d2","object":"response","created_at":1793760908,"status":"completed","model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","output":[{"id":"rs_2fa83b9fd36346ef8f9cc18d46caf818","type":"reasoning","summary":[{"type":"summary_text","text":"Here''s
-    a thinking process:\n\n1.  **Analyze User Input:**\n   - User says: \"Remember
-    the exact phrase: blue lantern. Reply briefly.\"\n   - Then says: \"Repeat the
-    phrase exactly, preserving its spaces.\"\n   - I need to output the exact phrase
-    \"blue lantern\" with the space preserved.\n\n2.  **Identify the Core Task:**\n   -
-    Output the exact phrase \"blue lantern\"\n   - Preserve the space (so it''s two
-    words, not \"bluelantern\" or \"blue lantern \" with trailing space)\n   - Reply
-    briefly (which is already implied, but I''ll keep it minimal)\n\n3.  **Check for
-    Constraints:**\n   - \"exact phrase: blue lantern\"\n   - \"preserving its spaces\"\n   -
-    The phrase is two words: \"blue\" and \"lantern\" with one space in between.\n\n4.  **Formulate
-    Output:**\n   - Just output: `blue lantern`\n   - Make sure no extra characters,
-    quotes unless specified, but usually just the phrase is fine.\n   - The prompt
-    says \"Reply briefly.\" and \"Repeat the phrase exactly, preserving its spaces.\"\n\n   I''ll
-    just output the phrase exactly as requested.\n\n   Output: `blue lantern` (or
-    maybe with a newline, but I''ll keep it clean)\n\n   Let''s just output: blue
-    lantern\n\n   Wait, should I include quotes? The prompt says \"Repeat the phrase
-    exactly\". Usually, that means just the content. I''ll output `blue lantern` without
-    extra fluff.\n\n   Final: `blue lantern`"}]},{"id":"msg_8a951d1d6b464caa9d0ac4f79e5d4523","type":"message","role":"assistant","content":[{"type":"output_text","text":"blue
-    lantern","annotations":[]}],"status":"completed"}],"previous_response_id":null,"usage":{"input_tokens":53,"output_tokens":326,"total_tokens":379,"input_tokens_details":{"cached_tokens":52},"output_tokens_details":{"reasoning_tokens":322}},"error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":2048,"max_tool_calls":null,"parallel_tool_calls":true,"reasoning":{"effort":"low"},"store":false,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":0.95,"top_logprobs":null,"truncation":"disabled","user":null,"background":null,"metadata":{}}}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: null
-timestamp: '2026-11-04T02:55:07.430157+00:00'
-upstream_url: https://api.fireworks.ai/inference/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/manifest.json
deleted file mode 100644
index 42851de..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-low/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:55:04.169626+00:00",
-  "revision": "fc583f156f25d1cb24d39ae919752b653754c14d",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "text",
-  "stream": true,
-  "reasoning_setting": "low",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47b-4669-7640-b4de-a4f8b94f2e5e.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a47b-50a6-7b51-b7cd-253e4850ed8a.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json
deleted file mode 100644
index 4a1f92a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/manifest.json
+++ /dev/null
@@ -1,51 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T02:52:44.141046+00:00",
-  "revision": "d7cdb5f456deea2588489ce330b4521c1c1bd009",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d"
-  },
-  "provider": "fireworks",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://api.fireworks.ai/inference/v1/responses",
-  "requested_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-  "scenario": "text",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 2048,
-  "extra_body": null,
-  "authentication": "Bearer credential from FIREWORKS_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a479-2350-7fc0-856e-232fda3aa49a.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a479-2ac3-71d1-8f35-fe4669784e94.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml
deleted file mode 100644
index 737febd..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e.yaml
+++ /dev/null
@@ -1,145 +0,0 @@
-filename: 2026-11-04-01a1a47b-629a-73b2-9bc2-c132decb2e5e
-request:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/manifest.json
deleted file mode 100644
index 8f371f2..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-low/manifest.json
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deleted file mode 100644
index 34379be..0000000
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index e2ee582..0000000
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-6a5f-7363-841a-86fddb962314.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-6a5f-7363-841a-86fddb962314.yaml
deleted file mode 100644
index 0952a37..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/2026-11-04-01a1a48d-6a5f-7363-841a-86fddb962314.yaml
+++ /dev/null
@@ -1,135 +0,0 @@
-filename: 2026-11-04-01a1a48d-6a5f-7363-841a-86fddb962314
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-      role: user
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-      reasoning: null
-      refusal: null
-      role: assistant
-      tool_calls:
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-        type: function
-    - content: '5'
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-      tool_call_id: call-491008b7-3a5f-4d21-bf99-c6b8302c2cbe
-    - content: '11'
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-
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json
deleted file mode 100644
index 23cbdb8..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-nonstream-none/manifest.json
+++ /dev/null
@@ -1,62 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:14:52.328804+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
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-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": false,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently; reasoning_details text/summary fragments and stable metadata independently checked; unverifiable detail shapes rejected without repairing SDK history",
-  "history_policy": "native-exclude-unset",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48d-66c3-7c23-acf5-ea393325af3e.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
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-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml
deleted file mode 100644
index 15758eb..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml
+++ /dev/null
@@ -1,106 +0,0 @@
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml
deleted file mode 100644
index c0d4968..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml
+++ /dev/null
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-timestamp: '2026-11-04T03:15:05.745165+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json
deleted file mode 100644
index bbb15fd..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-parallel-stream-none/manifest.json
+++ /dev/null
@@ -1,62 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:15:04.464445+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "parallel",
-  "stream": true,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently; reasoning_details text/summary fragments and stable metadata independently checked; unverifiable detail shapes rejected without repairing SDK history",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48d-9622-7cd2-9a8f-dd540ca0dfe0.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a48d-9991-7300-8d91-e23651892518.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml
deleted file mode 100644
index 8de2655..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml
+++ /dev/null
@@ -1,50 +0,0 @@
-filename: 2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: liquid/lfm-2.5-2.6b:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '336'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a48b-ec31-71e0-a75f-f43f90ba3a71
-response:
-  body:
-    error:
-      code: 400
-      message: Reasoning is mandatory for this endpoint and cannot be disabled.
-      metadata:
-        provider_name: null
-  body_bytes: !!binary |
-    eyJlcnJvciI6eyJtZXNzYWdlIjoiUmVhc29uaW5nIGlzIG1hbmRhdG9yeSBmb3IgdGhpcyBlbmRw
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-  headers:
-    connection: keep-alive
-    content-type: application/json
-  status_code: 400
-timestamp: '2026-11-04T03:13:15.825583+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json
deleted file mode 100644
index 6d967e6..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none-liquid/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:13:15.460238+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "liquid/lfm-2.5-2.6b:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": false,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "native-exclude-unset",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "files": [
-        "2026-11-04-01a1a48b-ec31-71e0-a75f-f43f90ba3a71.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "BadRequestError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 256, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml
deleted file mode 100644
index e997210..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml
+++ /dev/null
@@ -1,92 +0,0 @@
-filename: 2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '346'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a487-e60a-7e51-87aa-96c50701c2b6
-response:
-  body:
-    choices:
-    - finish_reason: stop
-      index: 0
-      logprobs: null
-      message:
-        content: Blue lantern.
-        reasoning: null
-        refusal: null
-        role: assistant
-      native_finish_reason: stop
-    created: 1793761732
-    id: gen-1793761732-wGwa5MMMUpFLoNvPYcp7
-    model: nvidia/nemotron-3.5-lightning:free
-    object: chat.completion
-    provider: Nvidia
-    service_tier: null
-    system_fingerprint: null
-    usage:
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-      completion_tokens_details:
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-        image_tokens: 0
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-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      is_byok: false
-      prompt_tokens: 28
-      prompt_tokens_details:
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-  body_bytes: !!binary |
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-timestamp: '2026-11-04T03:08:52.106946+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e8d9-7ab3-b041-983e9ef84cd7.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e8d9-7ab3-b041-983e9ef84cd7.yaml
deleted file mode 100644
index d0f8e11..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/2026-11-04-01a1a487-e8d9-7ab3-b041-983e9ef84cd7.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-filename: 2026-11-04-01a1a487-e8d9-7ab3-b041-983e9ef84cd7
-request:
-  body:
-    max_tokens: 4096
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content: Blue lantern.
-      reasoning: null
-      refusal: null
-      role: assistant
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: false
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '554'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a487-e8d9-7ab3-b041-983e9ef84cd7
-response:
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-    choices:
-    - finish_reason: stop
-      index: 0
-      logprobs: null
-      message:
-        content: Blue lantern.
-        reasoning: null
-        refusal: null
-        role: assistant
-      native_finish_reason: stop
-    created: 1793761732
-    id: gen-1793761732-dBl8mUwDIbCI7hCGHnSV
-    model: nvidia/nemotron-3.5-lightning:free
-    object: chat.completion
-    provider: Nvidia
-    service_tier: null
-    system_fingerprint: null
-    usage:
-      completion_tokens: 4
-      completion_tokens_details:
-        audio_tokens: 0
-        image_tokens: 0
-        reasoning_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      is_byok: false
-      prompt_tokens: 54
-      prompt_tokens_details:
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-        video_tokens: 0
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json
deleted file mode 100644
index 722f07e..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-nonstream-none/manifest.json
+++ /dev/null
@@ -1,62 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:08:51.651322+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": false,
-  "max_tokens": 4096,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "native-exclude-unset",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a487-e60a-7e51-87aa-96c50701c2b6.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a487-e8d9-7ab3-b041-983e9ef84cd7.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml
deleted file mode 100644
index 1e9a35d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml
+++ /dev/null
@@ -1,52 +0,0 @@
-filename: 2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: liquid/lfm-2.5-2.6b:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '375'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0
-response:
-  body:
-    error:
-      code: 400
-      message: Reasoning is mandatory for this endpoint and cannot be disabled.
-      metadata:
-        provider_name: null
-  body_bytes: !!binary |
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-  headers:
-    connection: keep-alive
-    content-type: application/json
-  status_code: 400
-timestamp: '2026-11-04T03:13:27.712062+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json
deleted file mode 100644
index e0d22fc..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none-liquid/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:13:27.298148+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "liquid/lfm-2.5-2.6b:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": true,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "files": [
-        "2026-11-04-01a1a48c-1aa0-7fe2-a6a5-5b6c5eb573f0.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "BadRequestError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 256, in record\n    result = await client.chat.completions.create(\n             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/resources/chat/completions/completions.py\", line 2907, in create\n    return await self._post(\n           ^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1992, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
-      "  File \"/home/akk/jiahuei/molto/.venv/lib/python3.12/site-packages/openai/_base_client.py\", line 1777, in request\n    raise self._make_status_error_from_response(err.response) from None\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml
deleted file mode 100644
index 8768046..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml
+++ /dev/null
@@ -1,84 +0,0 @@
-filename: 2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '385'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a489-02d5-79e1-b055-758125ed8b19
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - 'data: {"id":"gen-1793761805-QeRKpfrMOlXy5oHlZyyi","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"Blue","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
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-    lantern","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761805-QeRKpfrMOlXy5oHlZyyi","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":".","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
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-  - 'data: {"id":"gen-1793761805-QeRKpfrMOlXy5oHlZyyi","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"stop","native_finish_reason":"stop"}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761805-QeRKpfrMOlXy5oHlZyyi","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"stop","native_finish_reason":"stop"}],"usage":{"prompt_tokens":28,"completion_tokens":4,"total_tokens":32,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:10:05.013228+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml
deleted file mode 100644
index 6bda1df..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml
+++ /dev/null
@@ -1,94 +0,0 @@
-filename: 2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content: Blue lantern.
-      refusal: null
-      role: assistant
-      tool_calls: null
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '594'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a489-0503-7d11-9be1-b6256a2a5083
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - 'data: {"id":"gen-1793761805-1Wiq4tPkBT7VVzX22SCr","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"Blue","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761805-1Wiq4tPkBT7VVzX22SCr","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761805-1Wiq4tPkBT7VVzX22SCr","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":".","role":"assistant"},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761805-1Wiq4tPkBT7VVzX22SCr","object":"chat.completion.chunk","created":1793761805,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"stop","native_finish_reason":"stop"}]}
-
-    '
-  - '
-
-    '
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-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:10:05.571743+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json
deleted file mode 100644
index b75ab57..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-text-stream-none/manifest.json
+++ /dev/null
@@ -1,62 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:10:04.618409+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
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-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
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-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "text",
-  "stream": true,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a489-02d5-79e1-b055-758125ed8b19.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a489-0503-7d11-9be1-b6256a2a5083.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml
deleted file mode 100644
index fddff81..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml
+++ /dev/null
@@ -1,119 +0,0 @@
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-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
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-    reasoning:
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-    tool_choice:
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-    tools:
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml
deleted file mode 100644
index 33993ae..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml
+++ /dev/null
@@ -1,132 +0,0 @@
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-        type: function
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diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml
deleted file mode 100644
index 2d9b1ce..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml
+++ /dev/null
@@ -1,132 +0,0 @@
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-    ZWFzb25pbmdfdG9rZW5zIjowLCJpbWFnZV90b2tlbnMiOjAsImF1ZGlvX3Rva2VucyI6MH19fQ==
-  headers:
-    connection: keep-alive
-    content-type: application/json
-  status_code: 200
-timestamp: '2026-11-04T03:10:18.358251+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json
deleted file mode 100644
index 31ce7aa..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-nonstream-none/manifest.json
+++ /dev/null
@@ -1,71 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:10:16.646087+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "tools",
-  "stream": false,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "native-exclude-unset",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-31c8-7e91-8bbb-306e7538d952.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-347f-78a0-b99a-19a9b5aed615.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a489-36f6-7c03-bbb6-6d254cbadcd8.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml
deleted file mode 100644
index 775485a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml
+++ /dev/null
@@ -1,305 +0,0 @@
-filename: 2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: low
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice:
-      function:
-        name: add
-      type: function
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '673'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a48c-c399-7583-9949-f3125da180a2
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"We","reasoning_details":[{"type":"reasoning.text","text":"We","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
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-    need","reasoning_details":[{"type":"reasoning.text","text":" need","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
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-    to","reasoning_details":[{"type":"reasoning.text","text":" to","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
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-    use","reasoning_details":[{"type":"reasoning.text","text":" use","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
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-
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-  - '
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-    twice","reasoning_details":[{"type":"reasoning.text","text":" twice","format":"unknown","index":0}]},"finish_reason":null,"native_finish_reason":null}]}
-
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-  - '
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-  - '
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-  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
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-  - '
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-  - 'data: {"id":"gen-1793762051-dKEWuhKpw4NTBmtRmRKG","object":"chat.completion.chunk","created":1793762051,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant","reasoning":"
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-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:14:10.969161+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json
deleted file mode 100644
index 7d5f1a2..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-low/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:14:10.597766+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "tools",
-  "stream": true,
-  "max_tokens": 2048,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "low"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently; reasoning_details text/summary fragments and stable metadata independently checked; unverifiable detail shapes rejected without repairing SDK history",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "incomplete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48c-c399-7583-9949-f3125da180a2.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 297, in record\n    verify_accumulation(events, history)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 117, in verify_accumulation\n    raise ValueError(\"SDK accumulation changed reasoning_details history.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml
deleted file mode 100644
index 87eeb16..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml
+++ /dev/null
@@ -1,95 +0,0 @@
-filename: 2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice:
-      function:
-        name: add
-      type: function
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '674'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a489-606f-7512-aacc-1cb8486a9d6c
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"id":"call-b1dab1e4-4159-4314-b273-0f23ea63b84f","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"{\n  \"a\":
-    2,\n  \"b\": 3\n}"}}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-THCBYflvuSKw0WbDvsgo","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}],"usage":{"prompt_tokens":324,"completion_tokens":17,"total_tokens":341,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:10:28.975479+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml
deleted file mode 100644
index 5741bcd..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml
+++ /dev/null
@@ -1,143 +0,0 @@
-filename: 2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    - content: ''
-      refusal: null
-      role: assistant
-      tool_calls:
-      - function:
-          arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
-          name: add
-        id: call-b1dab1e4-4159-4314-b273-0f23ea63b84f
-        type: function
-    - content: '5'
-      role: tool
-      tool_call_id: call-b1dab1e4-4159-4314-b273-0f23ea63b84f
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    stream: true
-    stream_options:
-      include_usage: true
-    tool_choice:
-      function:
-        name: add
-      type: function
-    tools:
-    - function:
-        description: Add two integers.
-        name: add
-        parameters:
-          additionalProperties: false
-          properties:
-            a:
-              type: integer
-            b:
-              type: integer
-          required:
-          - a
-          - b
-          type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '966'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/chat/completions
-  query_params: {}
-request_id: 01a1a489-63e7-7141-8cdc-115597eadc09
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - ': OPENROUTER PROCESSING
-
-    '
-  - '
-
-    '
-  - ': OPENROUTER PROCESSING
-
-    '
-  - '
-
-    '
-  - ': OPENROUTER PROCESSING
-
-    '
-  - '
-
-    '
-  - ': OPENROUTER PROCESSING
-
-    '
-  - '
-
-    '
-  - ': OPENROUTER PROCESSING
-
-    '
-  - '
-
-    '
-  - ': OPENROUTER PROCESSING
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"id":"call-33474617-63b1-451e-b728-ce7a25194081","type":"function","function":{"name":"add","arguments":""}}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":null,"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"{
-    \"a\": 2, \"b\": 3 }"}}]},"finish_reason":null,"native_finish_reason":null}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}]}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"gen-1793761829-wYBf4Pg5oEiFvv8vo8Cf","object":"chat.completion.chunk","created":1793761829,"model":"nvidia/nemotron-3.5-lightning:free","provider":"Nvidia","service_tier":null,"choices":[{"index":0,"delta":{"content":"","role":"assistant"},"finish_reason":"tool_calls","native_finish_reason":"tool_calls"}],"usage":{"prompt_tokens":374,"completion_tokens":14,"total_tokens":388,"cost":0,"is_byok":false,"prompt_tokens_details":{"cached_tokens":0,"cache_write_tokens":0,"audio_tokens":0,"video_tokens":0},"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0},"completion_tokens_details":{"reasoning_tokens":0,"image_tokens":0,"audio_tokens":0}}}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:10:29.863470+00:00'
-upstream_url: https://openrouter.ai/api/v1/chat/completions
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json
deleted file mode 100644
index 4dd2d8f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-chat-tools-stream-none/manifest.json
+++ /dev/null
@@ -1,69 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:10:28.612053+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "source_hashes": {
-    "driver_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96"
-  },
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "chat/completions",
-  "upstream_url": "https://openrouter.ai/api/v1/chat/completions",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "scenario": "tools",
-  "stream": true,
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    },
-    "reasoning": {
-      "effort": "none"
-    }
-  },
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; original SSE and role metadata retained and checked independently",
-  "history_policy": "omit-absent-sdk-null-bookkeeping",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-606f-7512-aacc-1cb8486a9d6c.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "incomplete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-63e7-7141-8cdc-115597eadc09.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 278, in record\n    validate_turn(history, choice.finish_reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 135, in validate_turn\n    raise ValueError(\"Provider did not execute the requested tool scenario.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml
deleted file mode 100644
index 20b252e..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml
+++ /dev/null
@@ -1,88 +0,0 @@
-filename: 2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: false
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '347'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a488-3353-7bc3-92cf-b9416d72ae25
-response:
-  body:
-    container: null
-    content:
-    - citations: []
-      text: blue lantern
-      type: text
-    context_management: null
-    id: msg_zM2vG4WkIYRZ1WnyrsTm
-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
-    stop_details: null
-    stop_reason: end_turn
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: null
-      cache_read_input_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      inference_geo: null
-      input_tokens: 28
-      is_byok: false
-      output_tokens: 3
-      output_tokens_details:
-        thinking_tokens: 0
-      server_tool_use: null
-      service_tier: null
-      speed: standard
-  body_bytes: !!binary |
-    eyJpZCI6Im1zZ196TTJ2RzRXa0lZUloxV255cnNUbSIsInR5cGUiOiJtZXNzYWdlIiwicm9sZSI6
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-    bnQiOm51bGwsInByb3ZpZGVyIjoiTnZpZGlhIn0=
-  headers:
-    connection: keep-alive
-    content-type: application/json
-    request-id: gen-1793761751-zM2vG4WkIYRZ1WnyrsTm
-  status_code: 200
-timestamp: '2026-11-04T03:09:11.891188+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml
deleted file mode 100644
index aabf285..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml
+++ /dev/null
@@ -1,99 +0,0 @@
-filename: 2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content:
-      - citations: []
-        text: blue lantern
-        type: text
-      role: assistant
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: false
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '562'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a488-3578-7b82-b6f4-8aa6d2596fcb
-response:
-  body:
-    container: null
-    content:
-    - citations: []
-      text: blue lantern
-      type: text
-    context_management: null
-    id: msg_wNPK81HFOpGLcP9PA4AQ
-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
-    stop_details: null
-    stop_reason: end_turn
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: null
-      cache_read_input_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      inference_geo: null
-      input_tokens: 53
-      is_byok: false
-      output_tokens: 3
-      output_tokens_details:
-        thinking_tokens: 0
-      server_tool_use: null
-      service_tier: null
-      speed: standard
-  body_bytes: !!binary |
-    eyJpZCI6Im1zZ193TlBLODFIRk9wR0xjUDlQQTRBUSIsInR5cGUiOiJtZXNzYWdlIiwicm9sZSI6
-    ImFzc2lzdGFudCIsImNvbnRhaW5lciI6bnVsbCwiY29udGVudCI6W3sidHlwZSI6InRleHQiLCJ0
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-    cHN0cmVhbV9pbmZlcmVuY2VfY29tcGxldGlvbnNfY29zdCI6MH19LCJjb250ZXh0X21hbmFnZW1l
-    bnQiOm51bGwsInByb3ZpZGVyIjoiTnZpZGlhIn0=
-  headers:
-    connection: keep-alive
-    content-type: application/json
-    request-id: gen-1793761752-wNPK81HFOpGLcP9PA4AQ
-  status_code: 200
-timestamp: '2026-11-04T03:09:12.440234+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json
deleted file mode 100644
index 1f341f8..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-nonstream-none/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:09:11.867131+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://openrouter.ai/api/v1/messages",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "text",
-  "stream": false,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a488-3353-7bc3-92cf-b9416d72ae25.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a488-3578-7b82-b6f4-8aa6d2596fcb.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml
deleted file mode 100644
index 4a6d61f..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml
+++ /dev/null
@@ -1,119 +0,0 @@
-filename: 2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: true
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '346'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-1cbc-7443-a0fd-b4afe01eaf61
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    request-id: gen-1793761877-OfRtP1K1XBx8i7rkkwCU
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"id":"msg_OfRtP1K1XBx8i7rkkwCU","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":"","citations":[]}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Blue"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    lantern"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":28,"output_tokens":4,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T03:11:17.180541+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml
deleted file mode 100644
index 5d9fe0c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml
+++ /dev/null
@@ -1,121 +0,0 @@
-filename: 2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content:
-      - text: 'Remember the exact phrase: blue  lantern.'
-        type: text
-      - text: Reply briefly.
-        type: text
-      role: user
-    - content:
-      - citations: []
-        text: Blue lantern.
-        type: text
-      role: assistant
-    - content:
-      - text: Repeat the phrase
-        type: text
-      - text: ' exactly, preserving its spaces.'
-        type: text
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: true
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '562'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-1ecb-7843-839e-3e758020348c
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    request-id: gen-1793761877-z81VsVX8Pb6Y56sxg9Xq
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"id":"msg_z81VsVX8Pb6Y56sxg9Xq","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":"","citations":[]}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Blue"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    lantern"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":54,"output_tokens":3,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T03:11:17.707820+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json
deleted file mode 100644
index e699e37..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-text-stream-none/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:11:17.156251+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://openrouter.ai/api/v1/messages",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "text",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a48a-1cbc-7443-a0fd-b4afe01eaf61.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a48a-1ecb-7843-839e-3e758020348c.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml
deleted file mode 100644
index 64bd700..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml
+++ /dev/null
@@ -1,115 +0,0 @@
-filename: 2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: false
-    thinking:
-      budget_tokens: 1024
-      type: enabled
-    tool_choice:
-      type: auto
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '597'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5
-response:
-  body:
-    container: null
-    content:
-    - signature: ''
-      thinking: We need to call add with 2 and 3. Then call add again with result
-        (5) and 4. Then give final answer. Use tool calls.
-      type: thinking
-    - caller:
-        type: direct
-      id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
-      input:
-        a: 2
-        b: 3
-      name: add
-      type: tool_use
-    context_management: null
-    id: msg_TWY0zQO11zD4JiwbFyGs
-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
-    stop_details: null
-    stop_reason: tool_use
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: null
-      cache_read_input_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      inference_geo: null
-      input_tokens: 324
-      is_byok: false
-      output_tokens: 67
-      output_tokens_details:
-        thinking_tokens: 34
-      server_tool_use: null
-      service_tier: null
-      speed: standard
-  body_bytes: !!binary |
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-timestamp: '2026-11-04T03:13:03.871791+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml
deleted file mode 100644
index 9618f1a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml
+++ /dev/null
@@ -1,132 +0,0 @@
-filename: 2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    - content:
-      - signature: ''
-        thinking: We need to call add with 2 and 3. Then call add again with result
-          (5) and 4. Then give final answer. Use tool calls.
-        type: thinking
-      - caller:
-          type: direct
-        id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
-        input:
-          a: 2
-          b: 3
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '5'
-        tool_use_id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
-        type: tool_result
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
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-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: false
-    thinking:
-      budget_tokens: 1024
-      type: enabled
-    tool_choice:
-      type: auto
-    tools:
-    - description: Add two integers.
-      input_schema:
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-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
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-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1049'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48b-c261-7951-b564-48ea8c652c65
-response:
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-      thinking: Now we have result 5. Need to add 5 and 4.
-      type: thinking
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-      id: call-ed77770e-a9ce-4127-86fd-0b0cee72f4e7
-      input:
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-      name: add
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-    context_management: null
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-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
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-    stop_reason: tool_use
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: null
-      cache_read_input_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      inference_geo: null
-      input_tokens: 409
-      is_byok: false
-      output_tokens: 49
-      output_tokens_details:
-        thinking_tokens: 16
-      server_tool_use: null
-      service_tier: null
-      speed: standard
-  body_bytes: !!binary |
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-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml
deleted file mode 100644
index d52918d..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml
+++ /dev/null
@@ -1,144 +0,0 @@
-filename: 2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57
-request:
-  body:
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-    messages:
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-        and 4. Then give the final answer.
-      role: user
-    - content:
-      - signature: ''
-        thinking: We need to call add with 2 and 3. Then call add again with result
-          (5) and 4. Then give final answer. Use tool calls.
-        type: thinking
-      - caller:
-          type: direct
-        id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
-        input:
-          a: 2
-          b: 3
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '5'
-        tool_use_id: call-0b6cfa06-9c01-44e0-90aa-0af77c4fc2d0
-        type: tool_result
-      role: user
-    - content:
-      - signature: ''
-        thinking: Now we have result 5. Need to add 5 and 4.
-        type: thinking
-      - caller:
-          type: direct
-        id: call-ed77770e-a9ce-4127-86fd-0b0cee72f4e7
-        input:
-          a: 5
-          b: 4
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '9'
-        tool_use_id: call-ed77770e-a9ce-4127-86fd-0b0cee72f4e7
-        type: tool_result
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
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-    thinking:
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-      type: enabled
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-      input_schema:
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-        properties:
-          a:
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-        required:
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-      name: add
-  headers:
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-    authorization: Bearer ***
-    connection: keep-alive
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-    content-type: application/json
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-  method: POST
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-  query_params: {}
-request_id: 01a1a48b-c596-7860-93f4-bcd76b815c57
-response:
-  body:
-    container: null
-    content:
-    - signature: ''
-      thinking: We have final answer 9. Now output final answer.
-      type: thinking
-    - citations: []
-      text: The final answer is 9.
-      type: text
-    context_management: null
-    id: msg_KG3liUUdYMniMjggYON9
-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
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-timestamp: '2026-11-04T03:13:05.942294+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json
deleted file mode 100644
index da75e5a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-low/manifest.json
+++ /dev/null
@@ -1,69 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:13:03.834625+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://openrouter.ai/api/v1/messages",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "tools",
-  "stream": false,
-  "reasoning_setting": "low",
-  "max_tokens": 2048,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48b-bd7f-7dc1-b7b0-0ee94022d5b5.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48b-c261-7951-b564-48ea8c652c65.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a48b-c596-7860-93f4-bcd76b815c57.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml
deleted file mode 100644
index 53aee40..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml
+++ /dev/null
@@ -1,109 +0,0 @@
-filename: 2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: false
-    thinking:
-      type: disabled
-    tool_choice:
-      disable_parallel_tool_use: true
-      name: add
-      type: tool
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '623'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-4bac-74a2-a6bb-a31a961c320c
-response:
-  body:
-    container: null
-    content:
-    - caller:
-        type: direct
-      id: call-41f8064b-b71e-4a24-812f-872d636b0542
-      input:
-        a: 2
-        b: 3
-      name: add
-      type: tool_use
-    context_management: null
-    id: msg_nOfUcBXrwAL6F2TW55BD
-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
-    stop_details: null
-    stop_reason: tool_use
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: null
-      cache_read_input_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      inference_geo: null
-      input_tokens: 324
-      is_byok: false
-      output_tokens: 17
-      output_tokens_details:
-        thinking_tokens: 0
-      server_tool_use: null
-      service_tier: null
-      speed: standard
-  body_bytes: !!binary |
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-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml
deleted file mode 100644
index 595077e..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml
+++ /dev/null
@@ -1,124 +0,0 @@
-filename: 2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    - content:
-      - caller:
-          type: direct
-        id: call-41f8064b-b71e-4a24-812f-872d636b0542
-        input:
-          a: 2
-          b: 3
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '5'
-        tool_use_id: call-41f8064b-b71e-4a24-812f-872d636b0542
-        type: tool_result
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: false
-    thinking:
-      type: disabled
-    tool_choice:
-      disable_parallel_tool_use: true
-      name: add
-      type: tool
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '910'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-4ed7-73c3-9e88-9de7106a85ec
-response:
-  body:
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-        type: direct
-      id: call-ffe942e5-9db1-42ce-b7ca-781d1559c47b
-      input:
-        a: 2
-        b: 3
-      name: add
-      type: tool_use
-    context_management: null
-    id: msg_AMnavwobeFulrBBxUYkz
-    model: nvidia/nemotron-3.5-lightning:free
-    provider: Nvidia
-    role: assistant
-    stop_details: null
-    stop_reason: tool_use
-    stop_sequence: null
-    type: message
-    usage:
-      cache_creation: null
-      cache_creation_input_tokens: null
-      cache_read_input_tokens: 0
-      cost: 0
-      cost_details:
-        upstream_inference_completions_cost: 0
-        upstream_inference_cost: 0
-        upstream_inference_prompt_cost: 0
-      inference_geo: null
-      input_tokens: 374
-      is_byok: false
-      output_tokens: 17
-      output_tokens_details:
-        thinking_tokens: 0
-      server_tool_use: null
-      service_tier: null
-      speed: standard
-  body_bytes: !!binary |
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-timestamp: '2026-11-04T03:11:30.007301+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json
deleted file mode 100644
index a65574a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-nonstream-none/manifest.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:11:29.174697+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://openrouter.ai/api/v1/messages",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "tools",
-  "stream": false,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48a-4bac-74a2-a6bb-a31a961c320c.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "incomplete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48a-4ed7-73c3-9e88-9de7106a85ec.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 275, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 135, in validate_turn\n    raise ValueError(\"Provider did not execute the requested tool scenario.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml
deleted file mode 100644
index 76bd4eb..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml
+++ /dev/null
@@ -1,116 +0,0 @@
-filename: 2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: true
-    thinking:
-      type: disabled
-    tool_choice:
-      disable_parallel_tool_use: true
-      name: add
-      type: tool
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '622'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    request-id: gen-1793761901-u4d4peVajkrcJvekElNz
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"id":"msg_u4d4peVajkrcJvekElNz","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"call-dcfabfa1-3729-4630-8b4f-e8b01334ec74","caller":{"type":"direct"},"name":"add","input":{}}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"{\n  \"a\":
-    2,\n  \"b\": 3\n}"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":324,"output_tokens":17,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T03:11:41.197851+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml
deleted file mode 100644
index 55228f1..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml
+++ /dev/null
@@ -1,131 +0,0 @@
-filename: 2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    - content:
-      - caller:
-          type: direct
-        id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
-        input:
-          a: 2
-          b: 3
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '5'
-        tool_use_id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
-        type: tool_result
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: true
-    thinking:
-      type: disabled
-    tool_choice:
-      disable_parallel_tool_use: true
-      name: add
-      type: tool
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '909'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-7e2b-7531-9ceb-4a29d5a37f49
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    request-id: gen-1793761902-geQiplFAGkUmUzMP4q6c
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"id":"msg_geQiplFAGkUmUzMP4q6c","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"call-59669dae-895a-4074-a96c-12c6aecaa452","caller":{"type":"direct"},"name":"add","input":{}}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"{
-    \"a\": 5, \"b\": 4 }"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"tool_use","stop_sequence":null},"usage":{"input_tokens":374,"output_tokens":14,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T03:11:42.123668+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml
deleted file mode 100644
index 5cb07da..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml
+++ /dev/null
@@ -1,201 +0,0 @@
-filename: 2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035
-request:
-  body:
-    max_tokens: 1024
-    messages:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    - content:
-      - caller:
-          type: direct
-        id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
-        input:
-          a: 2
-          b: 3
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '5'
-        tool_use_id: call-dcfabfa1-3729-4630-8b4f-e8b01334ec74
-        type: tool_result
-      role: user
-    - content:
-      - caller:
-          type: direct
-        id: call-59669dae-895a-4074-a96c-12c6aecaa452
-        input:
-          a: 5
-          b: 4
-        name: add
-        type: tool_use
-      role: assistant
-    - content:
-      - content: '9'
-        tool_use_id: call-59669dae-895a-4074-a96c-12c6aecaa452
-        type: tool_result
-      role: user
-    model: nvidia/nemotron-3.5-lightning:free
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    stream: true
-    thinking:
-      type: disabled
-    tool_choice:
-      type: none
-    tools:
-    - description: Add two integers.
-      input_schema:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      name: add
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1150'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /api/v1/messages
-  query_params: {}
-request_id: 01a1a48a-81ac-7c93-b65f-5049852aa035
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-    request-id: gen-1793761903-x90IddN6nhVGisvxrMrG
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"id":"msg_x90IddN6nhVGisvxrMrG","type":"message","role":"assistant","container":null,"content":[],"model":"nvidia/nemotron-3.5-lightning:free","stop_reason":null,"stop_details":null,"stop_sequence":null,"usage":{"input_tokens":0,"output_tokens":0,"output_tokens_details":null,"cache_creation_input_tokens":null,"cache_read_input_tokens":null,"cache_creation":null,"inference_geo":null,"server_tool_use":null,"service_tier":null,"speed":"standard"},"provider":"Nvidia"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":"","citations":[]}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"The"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    final"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    answer"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    is"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    "}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"9"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"type":"message_delta","delta":{"container":null,"stop_details":null,"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":146,"output_tokens":8,"output_tokens_details":{"thinking_tokens":0},"cache_creation_input_tokens":null,"cache_read_input_tokens":0,"cache_creation":null,"server_tool_use":null,"service_tier":null,"speed":"standard","cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_prompt_cost":0,"upstream_inference_completions_cost":0}},"context_management":null}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: message_stop
-timestamp: '2026-11-04T03:11:43.020020+00:00'
-upstream_url: https://openrouter.ai/api/v1/messages
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json
deleted file mode 100644
index d86d012..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-messages-tools-stream-none/manifest.json
+++ /dev/null
@@ -1,69 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:11:41.165428+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "messages",
-  "upstream_url": "https://openrouter.ai/api/v1/messages",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "tools",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48a-7a8d-71d3-9a21-7c569a1cfd4d.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48a-7e2b-7531-9ceb-4a29d5a37f49.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a48a-81ac-7c93-b65f-5049852aa035.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json
deleted file mode 100644
index 1440426..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:09:36.884290+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://openrouter.ai/api/v1/responses",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "text",
-  "stream": false,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json
deleted file mode 100644
index fd2c02a..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/manifest.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:10:41.239628+00:00",
-  "revision": "7fa343b31177a77662ed281e5f336ec034ece165",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://openrouter.ai/api/v1/responses",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "text",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json
deleted file mode 100644
index 52eda19..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/manifest.json
+++ /dev/null
@@ -1,69 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:10:53.179861+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://openrouter.ai/api/v1/responses",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "tools",
-  "stream": false,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json
deleted file mode 100644
index 324c829..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/manifest.json
+++ /dev/null
@@ -1,69 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:12:51.992218+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://openrouter.ai/api/v1/responses",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "tools",
-  "stream": true,
-  "reasoning_setting": "low",
-  "max_tokens": 2048,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml"
-      ]
-    },
-    {
-      "turn": 2,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "stop",
-      "files": [
-        "2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml"
-      ]
-    }
-  ],
-  "status": "complete"
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml
deleted file mode 100644
index 3152202..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml
+++ /dev/null
@@ -1,117 +0,0 @@
-filename: 2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd
-request:
-  body:
-    input:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    max_output_tokens: 1024
-    model: nvidia/nemotron-3.5-lightning:free
-    parallel_tool_calls: false
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    store: false
-    stream: true
-    tool_choice:
-      name: add
-      type: function
-    tools:
-    - description: Add two integers.
-      name: add
-      parameters:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '654'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/responses
-  query_params: {}
-request_id: 01a1a489-eff2-7863-bc10-27597e3466bd
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - 'data: {"type":"response.created","response":{"id":"gen-1793761865-dtG911psR9v58dYHKSXb","object":"response","created_at":1793761865,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":0}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761865-dtG911psR9v58dYHKSXb","object":"response","created_at":1793761865,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"fc_tmp_59qkb6rz65i","type":"function_call","status":"in_progress","call_id":"call-8ded58c0-d65f-428a-93df-022ccee8c0d9","name":"add","arguments":""},"sequence_number":2}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.function_call_arguments.delta","output_index":0,"item_id":"fc_tmp_59qkb6rz65i","delta":"{\n  \"a\":
-    2,\n  \"b\": 3\n}","sequence_number":3}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.function_call_arguments.done","output_index":0,"item_id":"fc_tmp_59qkb6rz65i","name":"add","arguments":"{\n  \"a\":
-    2,\n  \"b\": 3\n}","sequence_number":4}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"fc_tmp_59qkb6rz65i","type":"function_call","status":"completed","call_id":"call-8ded58c0-d65f-428a-93df-022ccee8c0d9","name":"add","arguments":"{\n  \"a\":
-    2,\n  \"b\": 3\n}"},"sequence_number":5}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.completed","response":{"id":"gen-1793761865-dtG911psR9v58dYHKSXb","object":"response","created_at":1793761865,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761866,"output":[{"id":"fc_tmp_59qkb6rz65i","type":"function_call","status":"completed","call_id":"call-8ded58c0-d65f-428a-93df-022ccee8c0d9","name":"add","arguments":"{\n  \"a\":
-    2,\n  \"b\": 3\n}"}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":324,"input_tokens_details":{"cached_tokens":0},"output_tokens":17,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":341,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":6}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:11:05.714119+00:00'
-upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml
deleted file mode 100644
index 97d1590..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml
+++ /dev/null
@@ -1,126 +0,0 @@
-filename: 2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c
-request:
-  body:
-    input:
-    - content: Use add to add 2 and 3. After the result, use add to add that result
-        and 4. Then give the final answer.
-      role: user
-    - arguments: "{\n  \"a\": 2,\n  \"b\": 3\n}"
-      call_id: call-8ded58c0-d65f-428a-93df-022ccee8c0d9
-      id: fc_tmp_59qkb6rz65i
-      name: add
-      status: completed
-      type: function_call
-    - call_id: call-8ded58c0-d65f-428a-93df-022ccee8c0d9
-      output: '5'
-      type: function_call_output
-    max_output_tokens: 1024
-    model: nvidia/nemotron-3.5-lightning:free
-    parallel_tool_calls: false
-    provider:
-      allow_fallbacks: false
-      max_price:
-        completion: 0
-        prompt: 0
-        request: 0
-    reasoning:
-      effort: none
-    store: false
-    stream: true
-    tool_choice:
-      name: add
-      type: function
-    tools:
-    - description: Add two integers.
-      name: add
-      parameters:
-        additionalProperties: false
-        properties:
-          a:
-            type: integer
-          b:
-            type: integer
-        required:
-        - a
-        - b
-        type: object
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate, br
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '936'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /api/v1/responses
-  query_params: {}
-request_id: 01a1a489-f6e6-7053-b3c3-6e1ab76c951c
-response:
-  error_event: false
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream
-  sse:
-  - 'data: {"type":"response.created","response":{"id":"gen-1793761867-pHpluHBBl253cHfbW1vL","object":"response","created_at":1793761867,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":0}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.in_progress","response":{"id":"gen-1793761867-pHpluHBBl253cHfbW1vL","object":"response","created_at":1793761867,"model":"nvidia/nemotron-3.5-lightning:free","status":"in_progress","completed_at":null,"output":[],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":null},"sequence_number":1}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.added","output_index":0,"item":{"id":"fc_tmp_5ktw62a2h07","type":"function_call","status":"in_progress","call_id":"call-e16fedbc-f6c2-4273-a0d8-1aad84877c65","name":"add","arguments":""},"sequence_number":2}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.function_call_arguments.delta","output_index":0,"item_id":"fc_tmp_5ktw62a2h07","delta":"{
-    \"a\": 2, \"b\": 3 }","sequence_number":3}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.function_call_arguments.done","output_index":0,"item_id":"fc_tmp_5ktw62a2h07","name":"add","arguments":"{
-    \"a\": 2, \"b\": 3 }","sequence_number":4}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.output_item.done","output_index":0,"item":{"id":"fc_tmp_5ktw62a2h07","type":"function_call","status":"completed","call_id":"call-e16fedbc-f6c2-4273-a0d8-1aad84877c65","name":"add","arguments":"{
-    \"a\": 2, \"b\": 3 }"},"sequence_number":5}
-
-    '
-  - '
-
-    '
-  - 'data: {"type":"response.completed","response":{"id":"gen-1793761867-pHpluHBBl253cHfbW1vL","object":"response","created_at":1793761867,"model":"nvidia/nemotron-3.5-lightning:free","status":"completed","completed_at":1793761867,"output":[{"id":"fc_tmp_5ktw62a2h07","type":"function_call","status":"completed","call_id":"call-e16fedbc-f6c2-4273-a0d8-1aad84877c65","name":"add","arguments":"{
-    \"a\": 2, \"b\": 3 }"}],"error":null,"incomplete_details":null,"access_programs":null,"tools":[{"type":"function","name":"add","description":"Add
-    two integers.","parameters":{"type":"object","properties":{"a":{"type":"integer"},"b":{"type":"integer"}},"required":["a","b"],"additionalProperties":false},"strict":null}],"tool_choice":{"type":"function","name":"add"},"parallel_tool_calls":false,"max_output_tokens":1024,"temperature":1,"top_p":1,"presence_penalty":0,"frequency_penalty":0,"top_logprobs":0,"max_tool_calls":null,"metadata":{},"background":false,"previous_response_id":null,"service_tier":"auto","truncation":"disabled","store":false,"instructions":null,"text":{"format":{"type":"text"}},"reasoning":{"effort":"none"},"safety_identifier":null,"prompt_cache_key":null,"prompt_cache_options":null,"usage":{"input_tokens":374,"input_tokens_details":{"cached_tokens":0},"output_tokens":14,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":388,"cost":0,"is_byok":false,"cost_details":{"upstream_inference_cost":0,"upstream_inference_input_cost":0,"upstream_inference_output_cost":0}}},"sequence_number":6}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-  stream_status: complete
-  terminal_event: '[DONE]'
-timestamp: '2026-11-04T03:11:07.494395+00:00'
-upstream_url: https://openrouter.ai/api/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json
deleted file mode 100644
index 04cfdd7..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-none/manifest.json
+++ /dev/null
@@ -1,67 +0,0 @@
-{
-  "provenance": "recorded",
-  "captured_at": "2026-11-04T03:11:05.149220+00:00",
-  "revision": "99375e622c14f7ada37273eb0c79395baa82e6d9",
-  "working_tree_dirty": true,
-  "python": "3.12.9",
-  "versions": {
-    "openai": "2.53.0",
-    "anthropic": "0.121.0",
-    "httpx": "0.28.1"
-  },
-  "source_hashes": {
-    "driver_sha256": "fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3",
-    "recorder_sha256": "c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96",
-    "validation_sha256": "67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5"
-  },
-  "provider": "openrouter",
-  "upstream_protocol": "responses",
-  "upstream_url": "https://openrouter.ai/api/v1/responses",
-  "requested_model": "nvidia/nemotron-3.5-lightning:free",
-  "scenario": "tools",
-  "stream": true,
-  "reasoning_setting": "none",
-  "max_tokens": 1024,
-  "extra_body": {
-    "provider": {
-      "max_price": {
-        "prompt": 0,
-        "completion": 0,
-        "request": 0
-      },
-      "allow_fallbacks": false
-    }
-  },
-  "authentication": "Bearer credential from OPENROUTER_API_KEY; value excluded",
-  "sdk_retries": 0,
-  "proxy_retries": 0,
-  "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-  "turns": [
-    {
-      "turn": 0,
-      "status": "complete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-eff2-7863-bc10-27597e3466bd.yaml"
-      ]
-    },
-    {
-      "turn": 1,
-      "status": "incomplete",
-      "returned_model": "nvidia/nemotron-3.5-lightning:free",
-      "finish_reason": "tool_calls",
-      "files": [
-        "2026-11-04-01a1a489-f6e6-7053-b3c3-6e1ab76c951c.yaml"
-      ]
-    }
-  ],
-  "status": "incomplete",
-  "failure": {
-    "type": "ValueError",
-    "traceback": [
-      "  File \"/home/akk/jiahuei/molto/scripts/record_native_conversation.py\", line 275, in record\n    validate_turn(validation, reason, args.scenario, turn)\n",
-      "  File \"/home/akk/jiahuei/molto/scripts/record_provider_conversation.py\", line 135, in validate_turn\n    raise ValueError(\"Provider did not execute the requested tool scenario.\")\n"
-    ]
-  }
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json b/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
deleted file mode 100644
index aa128fd..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/openrouter-selection.json
+++ /dev/null
@@ -1,60 +0,0 @@
-{
-  "provenance": "catalog-selection",
-  "source_url": "https://openrouter.ai/api/v1/models",
-  "retrieved_at": "2026-11-04T03:07:17.084451+00:00",
-  "selection_policy": "Explicit :free IDs with zero prompt and completion prices; no paid model fallback or plugins. Captures independently establish availability.",
-  "models": [
-    {
-      "id": "liquid/lfm-2.5-2.6b:free",
-      "name": "LiquidAI: LFM2.5-2.6B (free)",
-      "pricing": {
-        "prompt": "0",
-        "completion": "0"
-      },
-      "supported_parameters": [
-        "frequency_penalty",
-        "include_reasoning",
-        "logprobs",
-        "max_completion_tokens",
-        "max_tokens",
-        "min_p",
-        "presence_penalty",
-        "reasoning",
-        "repetition_penalty",
-        "response_format",
-        "seed",
-        "stop",
-        "structured_outputs",
-        "temperature",
-        "tool_choice",
-        "tools",
-        "top_k",
-        "top_logprobs",
-        "top_p"
-      ],
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": ["text"],
-        "output_modalities": ["text"],
-        "tokenizer": "Other",
-        "instruct_type": null
-      }
-    },
-    {
-      "id": "nvidia/nemotron-3.5-lightning:free",
-      "name": "NVIDIA: Nemotron 3.5 Lightning (free)",
-      "pricing": {
-        "prompt": "0",
-        "completion": "0"
-      },
-      "supported_parameters": ["include_reasoning", "max_tokens", "reasoning", "seed", "temperature", "tool_choice", "tools", "top_p"],
-      "architecture": {
-        "modality": "text->text",
-        "input_modalities": ["text"],
-        "output_modalities": ["text"],
-        "tokenizer": "Other",
-        "instruct_type": null
-      }
-    }
-  ]
-}
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e.txt
deleted file mode 100644
index c063acd..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/4152dda1df321a916e24d476a7035e1e5b9653b992a66d8a91acfd2f6e00338e.txt
+++ /dev/null
@@ -1,318 +0,0 @@
-#!/usr/bin/env python3
-"""Record native Responses or Messages conversations independently of Molto.
-
-Use the Chat driver for Chat Completions. This companion retains actual Responses
-output or SDK-collected Messages blocks as history and stops on incomplete turns.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from anthropic import AsyncAnthropic
-from dotenv import load_dotenv
-from openai import AsyncOpenAI
-
-from scripts import record_provider_conversation, recorder_proxy
-from scripts.record_provider_conversation import validate_turn
-
-
-def initial_history(protocol: str, scenario: str) -> list[dict]:
-    if scenario == "text":
-        part_type = "input_text" if protocol == "responses" else "text"
-        return [
-            {
-                "role": "user",
-                "content": [
-                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
-                    {"type": part_type, "text": "Reply briefly."},
-                ],
-            }
-        ]
-    prompt = (
-        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
-        if scenario == "tools"
-        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-    )
-    return [{"role": "user", "content": prompt}]
-
-
-def request_body(args, history: list[dict], turn: int) -> dict:
-    body = {"model": args.model}
-    schema = {
-        "type": "object",
-        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
-        "required": ["a", "b"],
-        "additionalProperties": False,
-    }
-    final = turn == (2 if args.scenario == "tools" else 1)
-    if args.protocol == "responses":
-        body.update(
-            input=history,
-            store=False,
-            max_output_tokens=args.max_tokens,
-            reasoning={"effort": args.reasoning},
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {
-                    "type": "function",
-                    "name": "add",
-                    "description": "Add two integers.",
-                    "parameters": schema,
-                }
-            ]
-            body["tool_choice"] = (
-                "none"
-                if final
-                else "required"
-                if args.scenario == "parallel"
-                else {"type": "function", "name": "add"}
-            )
-            body["parallel_tool_calls"] = args.scenario == "parallel"
-    else:
-        body.update(messages=history, max_tokens=args.max_tokens)
-        body["thinking"] = (
-            {"type": "disabled"}
-            if args.reasoning == "none"
-            else {"type": "enabled", "budget_tokens": 1024}
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {"name": "add", "description": "Add two integers.", "input_schema": schema}
-            ]
-            body["tool_choice"] = (
-                {"type": "none"}
-                if final
-                else {"type": "auto"}
-                if args.reasoning != "none"
-                else {"type": "any", "disable_parallel_tool_use": False}
-                if args.scenario == "parallel"
-                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
-            )
-    return body
-
-
-async def result_and_history(client, args, body: dict):
-    if args.protocol == "responses":
-        result = await client.responses.create(**body, stream=args.stream)
-        if args.stream:
-            terminal = None
-            async with result:
-                async for event in result:
-                    if event.type in {
-                        "response.completed",
-                        "response.incomplete",
-                        "response.failed",
-                    }:
-                        if terminal is not None:
-                            raise ValueError("Multiple Responses terminal events.")
-                        terminal = event.response
-            if terminal is None:
-                raise ValueError("Responses stream has no terminal result.")
-            result = terminal
-        if result.status != "completed":
-            raise ValueError("Responses result did not complete.")
-        content = [item.model_dump(exclude_unset=True) for item in result.output]
-        calls = [
-            {
-                "id": item["call_id"],
-                "type": "function",
-                "function": {"name": item["name"], "arguments": item["arguments"]},
-            }
-            for item in content
-            if item["type"] == "function_call"
-        ]
-        text = "".join(
-            part["text"]
-            for item in content
-            if item["type"] == "message"
-            for part in item["content"]
-            if part["type"] == "output_text"
-        )
-        reason = "tool_calls" if calls else "stop"
-        history = content
-    else:
-        if args.stream:
-            async with client.messages.stream(**body) as stream:
-                async for _ in stream:
-                    pass
-                result = await stream.get_final_message()
-        else:
-            result = await client.messages.create(**body, stream=False)
-        content = [
-            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
-            for part in result.content
-        ]
-        calls = [
-            {
-                "id": part["id"],
-                "type": "function",
-                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
-            }
-            for part in content
-            if part["type"] == "tool_use"
-        ]
-        text = "".join(part["text"] for part in content if part["type"] == "text")
-        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
-            result.stop_reason, result.stop_reason
-        )
-        history = [{"role": "assistant", "content": content}]
-    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
-
-
-async def record(args) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "source_hashes": {
-            name: sha256(Path(path).read_bytes()).hexdigest()
-            for name, path in {
-                "driver_sha256": __file__,
-                "recorder_sha256": recorder_proxy.__file__,
-                "validation_sha256": record_provider_conversation.__file__,
-            }.items()
-        },
-        "provider": args.provider,
-        "upstream_protocol": args.protocol,
-        "upstream_url": args.base_url.rstrip("/")
-        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
-        "requested_model": args.model,
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "reasoning_setting": args.reasoning,
-        "max_tokens": args.max_tokens,
-        "extra_body": None,
-        "authentication": f"{'Bearer' if args.protocol == 'responses' else 'x-api-key'} credential from {args.key_env}; value excluded",
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-        "turns": [],
-        "status": "incomplete",
-    }
-    history = initial_history(args.protocol, args.scenario)
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
-            async with client_type(
-                api_key=key,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(info)
-                    try:
-                        result, output, validation, reason = await result_and_history(
-                            client, args, request_body(args, history, turn)
-                        )
-                        info["returned_model"] = result.model
-                        info["finish_reason"] = reason
-                        validate_turn(validation, reason, args.scenario, turn)
-                        history.extend(output)
-                        tool_results = []
-                        for call in validation["tool_calls"]:
-                            values = json.loads(call["function"]["arguments"])
-                            answer = str(values["a"] + values["b"])
-                            if args.protocol == "responses":
-                                history.append(
-                                    {
-                                        "type": "function_call_output",
-                                        "call_id": call["id"],
-                                        "output": answer,
-                                    }
-                                )
-                            else:
-                                tool_results.append(
-                                    {
-                                        "type": "tool_result",
-                                        "tool_use_id": call["id"],
-                                        "content": answer,
-                                    }
-                                )
-                        if tool_results:
-                            history.append({"role": "user", "content": tool_results})
-                        if args.scenario == "text" and turn == 0:
-                            part_type = "input_text" if args.protocol == "responses" else "text"
-                            history.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": part_type, "text": "Repeat the phrase"},
-                                        {
-                                            "type": part_type,
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        info["status"] = "complete"
-                    finally:
-                        info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(
-        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
-    )
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt
deleted file mode 100644
index 208aaee..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/546c67befd2393f7b9899a942772a97fcd3cbf75bfb2ac6c6a6b4a738a9ea846.txt
+++ /dev/null
@@ -1,315 +0,0 @@
-#!/usr/bin/env python3
-"""Record native Responses or Messages conversations independently of Molto.
-
-Use the Chat driver for Chat Completions. This companion retains actual Responses
-output or SDK-collected Messages blocks as history and stops on incomplete turns.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from anthropic import AsyncAnthropic
-from dotenv import load_dotenv
-from openai import AsyncOpenAI
-
-from scripts import record_provider_conversation, recorder_proxy
-from scripts.record_provider_conversation import validate_turn
-
-
-def initial_history(protocol: str, scenario: str) -> list[dict]:
-    if scenario == "text":
-        part_type = "input_text" if protocol == "responses" else "text"
-        return [
-            {
-                "role": "user",
-                "content": [
-                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
-                    {"type": part_type, "text": "Reply briefly."},
-                ],
-            }
-        ]
-    prompt = (
-        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
-        if scenario == "tools"
-        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-    )
-    return [{"role": "user", "content": prompt}]
-
-
-def request_body(args, history: list[dict], turn: int) -> dict:
-    body = {"model": args.model}
-    schema = {
-        "type": "object",
-        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
-        "required": ["a", "b"],
-        "additionalProperties": False,
-    }
-    final = turn == (2 if args.scenario == "tools" else 1)
-    if args.protocol == "responses":
-        body.update(
-            input=history,
-            store=False,
-            max_output_tokens=args.max_tokens,
-            reasoning={"effort": args.reasoning},
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {
-                    "type": "function",
-                    "name": "add",
-                    "description": "Add two integers.",
-                    "parameters": schema,
-                }
-            ]
-            body["tool_choice"] = (
-                "none"
-                if final
-                else "required"
-                if args.scenario == "parallel"
-                else {"type": "function", "name": "add"}
-            )
-            body["parallel_tool_calls"] = args.scenario == "parallel"
-    else:
-        body.update(messages=history, max_tokens=args.max_tokens)
-        body["thinking"] = (
-            {"type": "disabled"}
-            if args.reasoning == "none"
-            else {"type": "enabled", "budget_tokens": 1024}
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {"name": "add", "description": "Add two integers.", "input_schema": schema}
-            ]
-            body["tool_choice"] = (
-                {"type": "none"}
-                if final
-                else {"type": "auto"}
-                if args.reasoning != "none"
-                else {"type": "any", "disable_parallel_tool_use": False}
-                if args.scenario == "parallel"
-                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
-            )
-    return body
-
-
-async def result_and_history(client, args, body: dict):
-    if args.protocol == "responses":
-        result = await client.responses.create(**body, stream=args.stream)
-        if args.stream:
-            terminal = None
-            async with result:
-                async for event in result:
-                    if event.type in {
-                        "response.completed",
-                        "response.incomplete",
-                        "response.failed",
-                    }:
-                        if terminal is not None:
-                            raise ValueError("Multiple Responses terminal events.")
-                        terminal = event.response
-            if terminal is None:
-                raise ValueError("Responses stream has no terminal result.")
-            result = terminal
-        if result.status != "completed":
-            raise ValueError("Responses result did not complete.")
-        content = [item.model_dump(exclude_unset=True) for item in result.output]
-        calls = [
-            {
-                "id": item["call_id"],
-                "type": "function",
-                "function": {"name": item["name"], "arguments": item["arguments"]},
-            }
-            for item in content
-            if item["type"] == "function_call"
-        ]
-        text = "".join(
-            part["text"]
-            for item in content
-            if item["type"] == "message"
-            for part in item["content"]
-            if part["type"] == "output_text"
-        )
-        reason = "tool_calls" if calls else "stop"
-        history = content
-    else:
-        if args.stream:
-            async with client.messages.stream(**body) as stream:
-                async for _ in stream:
-                    pass
-                result = await stream.get_final_message()
-        else:
-            result = await client.messages.create(**body, stream=False)
-        content = [part.model_dump(exclude_unset=True) for part in result.content]
-        calls = [
-            {
-                "id": part["id"],
-                "type": "function",
-                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
-            }
-            for part in content
-            if part["type"] == "tool_use"
-        ]
-        text = "".join(part["text"] for part in content if part["type"] == "text")
-        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
-            result.stop_reason, result.stop_reason
-        )
-        history = [{"role": "assistant", "content": content}]
-    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
-
-
-async def record(args) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "source_hashes": {
-            name: sha256(Path(path).read_bytes()).hexdigest()
-            for name, path in {
-                "driver_sha256": __file__,
-                "recorder_sha256": recorder_proxy.__file__,
-                "validation_sha256": record_provider_conversation.__file__,
-            }.items()
-        },
-        "provider": args.provider,
-        "upstream_protocol": args.protocol,
-        "upstream_url": args.base_url.rstrip("/")
-        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
-        "requested_model": args.model,
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "reasoning_setting": args.reasoning,
-        "max_tokens": args.max_tokens,
-        "extra_body": None,
-        "authentication": f"{'Bearer' if args.protocol == 'responses' else 'x-api-key'} credential from {args.key_env}; value excluded",
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); manual actual-output history",
-        "turns": [],
-        "status": "incomplete",
-    }
-    history = initial_history(args.protocol, args.scenario)
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
-            async with client_type(
-                api_key=key,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(info)
-                    try:
-                        result, output, validation, reason = await result_and_history(
-                            client, args, request_body(args, history, turn)
-                        )
-                        info["returned_model"] = result.model
-                        info["finish_reason"] = reason
-                        validate_turn(validation, reason, args.scenario, turn)
-                        history.extend(output)
-                        tool_results = []
-                        for call in validation["tool_calls"]:
-                            values = json.loads(call["function"]["arguments"])
-                            answer = str(values["a"] + values["b"])
-                            if args.protocol == "responses":
-                                history.append(
-                                    {
-                                        "type": "function_call_output",
-                                        "call_id": call["id"],
-                                        "output": answer,
-                                    }
-                                )
-                            else:
-                                tool_results.append(
-                                    {
-                                        "type": "tool_result",
-                                        "tool_use_id": call["id"],
-                                        "content": answer,
-                                    }
-                                )
-                        if tool_results:
-                            history.append({"role": "user", "content": tool_results})
-                        if args.scenario == "text" and turn == 0:
-                            part_type = "input_text" if args.protocol == "responses" else "text"
-                            history.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": part_type, "text": "Repeat the phrase"},
-                                        {
-                                            "type": part_type,
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        info["status"] = "complete"
-                    finally:
-                        info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(
-        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
-    )
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt
deleted file mode 100644
index db4adb4..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/606dd1bef4130d4520c552b96c6290139903e4d76d9297011c6bc7a1ac4efe5d.txt
+++ /dev/null
@@ -1,367 +0,0 @@
-#!/usr/bin/env python3
-"""Record controlled native Chat conversations independently of Molto translation.
-
-Run explicitly outside pytest. Each invocation creates a fresh staging directory;
-review its original recordings before promotion. SDK accumulation failures are
-evidence, and deliberately stop the conversation instead of repairing history.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from dotenv import load_dotenv
-from openai import AsyncOpenAI
-from openai.lib.streaming.chat import ChatCompletionStreamState
-
-from scripts import recorder_proxy
-
-
-def assistant_history(message, events: list[dict] | None = None) -> dict:
-    """Remove only SDK bookkeeping and empty output-only annotations."""
-    history = message.model_dump(exclude_unset=True)
-    history.pop("parsed", None)
-    if events is not None:
-        emitted = {
-            field for event in events for choice in event["choices"] for field in choice["delta"]
-        }
-        # Fireworks rejects these SDK-created nulls when they were absent on wire.
-        for field in ("annotations", "audio", "function_call"):
-            if history.get(field) is None and field not in emitted:
-                history.pop(field, None)
-    if history.get("annotations") == []:
-        history.pop("annotations")
-    for call in history.get("tool_calls") or []:
-        call.pop("index", None)
-        if "function" in call:
-            call["function"].pop("parsed_arguments", None)
-    return history
-
-
-def accumulation_chunk(event, roles: dict[int, str]):
-    """Remove repeated role snapshots from a copy before SDK string accumulation."""
-    chunk = event.model_copy(deep=True)
-    for choice in chunk.choices:
-        role = choice.delta.role
-        if role is None:
-            continue
-        previous = roles.get(choice.index)
-        if previous is not None and role != previous:
-            raise ValueError("Provider changed the role during a streamed choice.")
-        if previous is not None:
-            # Together repeats the complete role, whereas the SDK concatenates strings.
-            choice.delta = type(choice.delta).model_validate(
-                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
-            )
-        roles[choice.index] = role
-    return chunk
-
-
-def verify_accumulation(events: list[dict], history: dict) -> None:
-    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
-    reasoning = {"reasoning": [], "reasoning_content": []}
-    details: dict[int, dict] = {}
-    for event in events:
-        for choice in event["choices"]:
-            if choice["index"] != 0:
-                raise ValueError("The recording scenario requires exactly one choice.")
-            delta = choice["delta"]
-            for detail in delta.get("reasoning_details") or []:
-                index = detail.get("index")
-                if type(index) is not int or detail.get("type") not in {
-                    "reasoning.text",
-                    "reasoning.summary",
-                }:
-                    raise ValueError("Cannot independently verify this reasoning_details shape.")
-                collected_detail = details.setdefault(index, {})
-                for field, value in detail.items():
-                    if field in {"text", "summary"} and isinstance(value, str):
-                        collected_detail[field] = collected_detail.get(field, "") + value
-                    elif field not in collected_detail or collected_detail[field] == value:
-                        collected_detail[field] = value
-                    else:
-                        raise ValueError("Provider changed reasoning_details metadata.")
-            if delta.get("role") is not None and delta["role"] != history.get("role"):
-                raise ValueError("Accumulated role differs from the original provider metadata.")
-            for field, fragments in reasoning.items():
-                if delta.get(field) is not None:
-                    if not isinstance(delta[field], str):
-                        raise ValueError(
-                            "Cannot independently accumulate non-string reasoning deltas."
-                        )
-                    fragments.append(delta[field])
-            owners = [(delta, history)]
-            for call in delta.get("tool_calls") or []:
-                owners.append((call, history["tool_calls"][call["index"]]))
-            for source, collected in owners:
-                if "extra_content" in source and source["extra_content"] != collected.get(
-                    "extra_content"
-                ):
-                    raise ValueError(
-                        "SDK accumulation changed an opaque extra_content attachment."
-                    )
-    for field, fragments in reasoning.items():
-        if fragments and history.get(field) != "".join(fragments):
-            raise ValueError("SDK accumulation changed reasoning history.")
-    if details and history.get("reasoning_details") != list(details.values()):
-        raise ValueError("SDK accumulation changed reasoning_details history.")
-
-
-def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
-    """Require the complete requested conversation before marking provider evidence complete."""
-    if history.get("role") != "assistant":
-        raise ValueError("SDK accumulation did not retain the assistant role.")
-    calls = history.get("tool_calls") or []
-    expected = []
-    if scenario == "tools" and turn < 2:
-        expected = [[2, 3]] if turn == 0 else [[4, 5]]
-    elif scenario == "parallel" and turn == 0:
-        expected = [[2, 3], [4, 7]]
-    if len(calls) != len(expected):
-        raise ValueError("Provider did not return the required number of tool calls.")
-    if finish_reason != ("tool_calls" if expected else "stop"):
-        raise ValueError("Provider did not complete the requested turn.")
-    if not calls:
-        if not isinstance(history.get("content"), str) or not history["content"].strip():
-            raise ValueError("Provider did not return a final text answer.")
-        return
-    identities = [call.get("id") for call in calls]
-    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
-        set(identities)
-    ) != len(identities):
-        raise ValueError("Provider tool identities are missing or duplicated.")
-    arguments = []
-    for call in calls:
-        function = call["function"]
-        if function["name"] != "add":
-            raise ValueError("Provider returned an unexpected tool.")
-        values = json.loads(function["arguments"])
-        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
-            raise ValueError("Provider returned invalid add arguments.")
-        arguments.append(sorted(values.values()))
-    if sorted(arguments) != expected:
-        raise ValueError("Provider did not execute the requested tool scenario.")
-
-
-async def record(args: argparse.Namespace) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "source_hashes": {
-            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
-            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
-        },
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "provider": args.provider,
-        "upstream_protocol": "chat/completions",
-        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
-        "requested_model": args.model,
-        "authentication": f"Bearer credential from {args.key_env}; value excluded",
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": (
-            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
-            "original SSE and role metadata retained and checked independently; "
-            "reasoning_details text/summary fragments and stable metadata independently checked; "
-            "unverifiable detail shapes rejected without repairing SDK history"
-        ),
-        "history_policy": (
-            "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
-        ),
-        "turns": [],
-        "status": "incomplete",
-    }
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
-                {"type": "text", "text": "Reply briefly."},
-            ],
-        }
-    ]
-    tools = [
-        {
-            "type": "function",
-            "function": {
-                "name": "add",
-                "description": "Add two integers.",
-                "parameters": {
-                    "type": "object",
-                    "properties": {
-                        "a": {"type": "integer"},
-                        "b": {"type": "integer"},
-                    },
-                    "required": ["a", "b"],
-                    "additionalProperties": False,
-                },
-            },
-        }
-    ]
-    if args.scenario != "text":
-        messages = [
-            {
-                "role": "user",
-                "content": (
-                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
-                    "Then give the final answer."
-                    if args.scenario == "tools"
-                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-                ),
-            }
-        ]
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            async with AsyncOpenAI(
-                api_key=key,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    turn_info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(turn_info)
-                    body = {
-                        "model": args.model,
-                        "messages": messages,
-                        "stream": args.stream,
-                        "max_tokens": args.max_tokens,
-                    }
-                    if args.stream:
-                        body["stream_options"] = {"include_usage": True}
-                    if args.scenario != "text":
-                        body["tools"] = tools
-                        if args.scenario == "parallel":
-                            body["parallel_tool_calls"] = True
-                            body["tool_choice"] = "required" if turn == 0 else "none"
-                        else:
-                            body["tool_choice"] = (
-                                "none"
-                                if turn == 2
-                                else {"type": "function", "function": {"name": "add"}}
-                            )
-                    try:
-                        result = await client.chat.completions.create(
-                            **body, extra_body=args.extra_body
-                        )
-                        if args.stream:
-                            state = ChatCompletionStreamState()
-                            events = []
-                            roles = {}
-                            async with result:
-                                async for event in result:
-                                    events.append(event.model_dump(exclude_unset=True))
-                                    state.handle_chunk(accumulation_chunk(event, roles))
-                            result = state.get_final_completion()
-                        turn_info["returned_model"] = result.model
-                        if len(result.choices) != 1:
-                            raise ValueError("The recording scenario requires exactly one choice.")
-                        choice = result.choices[0]
-                        turn_info["finish_reason"] = choice.finish_reason
-                        history = assistant_history(
-                            choice.message, events if args.stream else None
-                        )
-                        if args.stream:
-                            verify_accumulation(events, history)
-                        validate_turn(history, choice.finish_reason, args.scenario, turn)
-                        messages.append(history)
-                        calls = history.get("tool_calls") or []
-                        for call in calls:
-                            function = call["function"]
-                            arguments = json.loads(function["arguments"])
-                            messages.append(
-                                {
-                                    "role": "tool",
-                                    "tool_call_id": call["id"],
-                                    "content": str(arguments["a"] + arguments["b"]),
-                                }
-                            )
-                        if args.scenario == "text" and turn == 0:
-                            messages.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": "text", "text": "Repeat the phrase"},
-                                        {
-                                            "type": "text",
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        turn_info["status"] = "complete"
-                    finally:
-                        turn_info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        # Exception strings may contain echoed headers or credentials; retain the
-        # class and stack locations while the proxy retains the reviewed response.
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5.txt
deleted file mode 100644
index fe62e1b..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/67f4c07b0730a542ac01f8218c83c5e0a876af460cb4e1008771006c9ef016a5.txt
+++ /dev/null
@@ -1,347 +0,0 @@
-#!/usr/bin/env python3
-"""Record controlled native Chat conversations independently of Molto translation.
-
-Run explicitly outside pytest. Each invocation creates a fresh staging directory;
-review its original recordings before promotion. SDK accumulation failures are
-evidence, and deliberately stop the conversation instead of repairing history.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from dotenv import load_dotenv
-from openai import AsyncOpenAI
-from openai.lib.streaming.chat import ChatCompletionStreamState
-
-from scripts import recorder_proxy
-
-
-def assistant_history(message, events: list[dict] | None = None) -> dict:
-    """Remove only SDK bookkeeping and empty output-only annotations."""
-    history = message.model_dump(exclude_unset=True)
-    history.pop("parsed", None)
-    if events is not None:
-        emitted = {
-            field for event in events for choice in event["choices"] for field in choice["delta"]
-        }
-        # Fireworks rejects these SDK-created nulls when they were absent on wire.
-        for field in ("annotations", "audio", "function_call"):
-            if history.get(field) is None and field not in emitted:
-                history.pop(field, None)
-    if history.get("annotations") == []:
-        history.pop("annotations")
-    for call in history.get("tool_calls") or []:
-        call.pop("index", None)
-        if "function" in call:
-            call["function"].pop("parsed_arguments", None)
-    return history
-
-
-def accumulation_chunk(event, roles: dict[int, str]):
-    """Remove repeated role snapshots from a copy before SDK string accumulation."""
-    chunk = event.model_copy(deep=True)
-    for choice in chunk.choices:
-        role = choice.delta.role
-        if role is None:
-            continue
-        previous = roles.get(choice.index)
-        if previous is not None and role != previous:
-            raise ValueError("Provider changed the role during a streamed choice.")
-        if previous is not None:
-            # Together repeats the complete role, whereas the SDK concatenates strings.
-            choice.delta = type(choice.delta).model_validate(
-                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
-            )
-        roles[choice.index] = role
-    return chunk
-
-
-def verify_accumulation(events: list[dict], history: dict) -> None:
-    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
-    reasoning = {"reasoning": [], "reasoning_content": []}
-    for event in events:
-        for choice in event["choices"]:
-            if choice["index"] != 0:
-                raise ValueError("The recording scenario requires exactly one choice.")
-            delta = choice["delta"]
-            if delta.get("role") is not None and delta["role"] != history.get("role"):
-                raise ValueError("Accumulated role differs from the original provider metadata.")
-            for field, fragments in reasoning.items():
-                if delta.get(field) is not None:
-                    if not isinstance(delta[field], str):
-                        raise ValueError(
-                            "Cannot independently accumulate non-string reasoning deltas."
-                        )
-                    fragments.append(delta[field])
-            owners = [(delta, history)]
-            for call in delta.get("tool_calls") or []:
-                owners.append((call, history["tool_calls"][call["index"]]))
-            for source, collected in owners:
-                if "extra_content" in source and source["extra_content"] != collected.get(
-                    "extra_content"
-                ):
-                    raise ValueError(
-                        "SDK accumulation changed an opaque extra_content attachment."
-                    )
-    for field, fragments in reasoning.items():
-        if fragments and history.get(field) != "".join(fragments):
-            raise ValueError("SDK accumulation changed reasoning history.")
-
-
-def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
-    """Require the complete requested conversation before marking provider evidence complete."""
-    if history.get("role") != "assistant":
-        raise ValueError("SDK accumulation did not retain the assistant role.")
-    calls = history.get("tool_calls") or []
-    expected = []
-    if scenario == "tools" and turn < 2:
-        expected = [[2, 3]] if turn == 0 else [[4, 5]]
-    elif scenario == "parallel" and turn == 0:
-        expected = [[2, 3], [4, 7]]
-    if len(calls) != len(expected):
-        raise ValueError("Provider did not return the required number of tool calls.")
-    if finish_reason != ("tool_calls" if expected else "stop"):
-        raise ValueError("Provider did not complete the requested turn.")
-    if not calls:
-        if not isinstance(history.get("content"), str) or not history["content"].strip():
-            raise ValueError("Provider did not return a final text answer.")
-        return
-    identities = [call.get("id") for call in calls]
-    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
-        set(identities)
-    ) != len(identities):
-        raise ValueError("Provider tool identities are missing or duplicated.")
-    arguments = []
-    for call in calls:
-        function = call["function"]
-        if function["name"] != "add":
-            raise ValueError("Provider returned an unexpected tool.")
-        values = json.loads(function["arguments"])
-        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
-            raise ValueError("Provider returned invalid add arguments.")
-        arguments.append(sorted(values.values()))
-    if sorted(arguments) != expected:
-        raise ValueError("Provider did not execute the requested tool scenario.")
-
-
-async def record(args: argparse.Namespace) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "source_hashes": {
-            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
-            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
-        },
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "provider": args.provider,
-        "upstream_protocol": "chat/completions",
-        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
-        "requested_model": args.model,
-        "authentication": f"Bearer credential from {args.key_env}; value excluded",
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": (
-            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
-            "original SSE and role metadata retained and checked independently"
-        ),
-        "history_policy": (
-            "omit-absent-sdk-null-bookkeeping" if args.stream else "native-exclude-unset"
-        ),
-        "turns": [],
-        "status": "incomplete",
-    }
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
-                {"type": "text", "text": "Reply briefly."},
-            ],
-        }
-    ]
-    tools = [
-        {
-            "type": "function",
-            "function": {
-                "name": "add",
-                "description": "Add two integers.",
-                "parameters": {
-                    "type": "object",
-                    "properties": {
-                        "a": {"type": "integer"},
-                        "b": {"type": "integer"},
-                    },
-                    "required": ["a", "b"],
-                    "additionalProperties": False,
-                },
-            },
-        }
-    ]
-    if args.scenario != "text":
-        messages = [
-            {
-                "role": "user",
-                "content": (
-                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
-                    "Then give the final answer."
-                    if args.scenario == "tools"
-                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-                ),
-            }
-        ]
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            async with AsyncOpenAI(
-                api_key=key,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    turn_info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(turn_info)
-                    body = {
-                        "model": args.model,
-                        "messages": messages,
-                        "stream": args.stream,
-                        "max_tokens": args.max_tokens,
-                    }
-                    if args.stream:
-                        body["stream_options"] = {"include_usage": True}
-                    if args.scenario != "text":
-                        body["tools"] = tools
-                        if args.scenario == "parallel":
-                            body["parallel_tool_calls"] = True
-                            body["tool_choice"] = "required" if turn == 0 else "none"
-                        else:
-                            body["tool_choice"] = (
-                                "none"
-                                if turn == 2
-                                else {"type": "function", "function": {"name": "add"}}
-                            )
-                    try:
-                        result = await client.chat.completions.create(
-                            **body, extra_body=args.extra_body
-                        )
-                        if args.stream:
-                            state = ChatCompletionStreamState()
-                            events = []
-                            roles = {}
-                            async with result:
-                                async for event in result:
-                                    events.append(event.model_dump(exclude_unset=True))
-                                    state.handle_chunk(accumulation_chunk(event, roles))
-                            result = state.get_final_completion()
-                        turn_info["returned_model"] = result.model
-                        if len(result.choices) != 1:
-                            raise ValueError("The recording scenario requires exactly one choice.")
-                        choice = result.choices[0]
-                        turn_info["finish_reason"] = choice.finish_reason
-                        history = assistant_history(
-                            choice.message, events if args.stream else None
-                        )
-                        if args.stream:
-                            verify_accumulation(events, history)
-                        validate_turn(history, choice.finish_reason, args.scenario, turn)
-                        messages.append(history)
-                        calls = history.get("tool_calls") or []
-                        for call in calls:
-                            function = call["function"]
-                            arguments = json.loads(function["arguments"])
-                            messages.append(
-                                {
-                                    "role": "tool",
-                                    "tool_call_id": call["id"],
-                                    "content": str(arguments["a"] + arguments["b"]),
-                                }
-                            )
-                        if args.scenario == "text" and turn == 0:
-                            messages.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": "text", "text": "Repeat the phrase"},
-                                        {
-                                            "type": "text",
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        turn_info["status"] = "complete"
-                    finally:
-                        turn_info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        # Exception strings may contain echoed headers or credentials; retain the
-        # class and stack locations while the proxy retains the reviewed response.
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt
deleted file mode 100644
index 46f65e6..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/a5167dbfe0343f098c734225c2e8ae9289bd66afd17825e34d9073a5cc76ae2d.txt
+++ /dev/null
@@ -1,334 +0,0 @@
-#!/usr/bin/env python3
-"""Record controlled native Chat conversations independently of Molto translation.
-
-Run explicitly outside pytest. Each invocation creates a fresh staging directory;
-review its original recordings before promotion. SDK accumulation failures are
-evidence, and deliberately stop the conversation instead of repairing history.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from dotenv import load_dotenv
-from openai import AsyncOpenAI
-from openai.lib.streaming.chat import ChatCompletionStreamState
-
-from scripts import recorder_proxy
-
-
-def assistant_history(message) -> dict:
-    """Remove only SDK bookkeeping and empty output-only annotations."""
-    history = message.model_dump(exclude_unset=True)
-    history.pop("parsed", None)
-    if history.get("annotations") == []:
-        history.pop("annotations")
-    for call in history.get("tool_calls") or []:
-        call.pop("index", None)
-        if "function" in call:
-            call["function"].pop("parsed_arguments", None)
-    return history
-
-
-def accumulation_chunk(event, roles: dict[int, str]):
-    """Remove repeated role snapshots from a copy before SDK string accumulation."""
-    chunk = event.model_copy(deep=True)
-    for choice in chunk.choices:
-        role = choice.delta.role
-        if role is None:
-            continue
-        previous = roles.get(choice.index)
-        if previous is not None and role != previous:
-            raise ValueError("Provider changed the role during a streamed choice.")
-        if previous is not None:
-            # Together repeats the complete role, whereas the SDK concatenates strings.
-            choice.delta = type(choice.delta).model_validate(
-                choice.delta.model_dump(exclude_unset=True, exclude={"role"})
-            )
-        roles[choice.index] = role
-    return chunk
-
-
-def verify_accumulation(events: list[dict], history: dict) -> None:
-    """Fail if SDK accumulation changes reasoning bytes or opaque attachment values."""
-    reasoning = {"reasoning": [], "reasoning_content": []}
-    for event in events:
-        for choice in event["choices"]:
-            if choice["index"] != 0:
-                raise ValueError("The recording scenario requires exactly one choice.")
-            delta = choice["delta"]
-            if delta.get("role") is not None and delta["role"] != history.get("role"):
-                raise ValueError("Accumulated role differs from the original provider metadata.")
-            for field, fragments in reasoning.items():
-                if delta.get(field) is not None:
-                    if not isinstance(delta[field], str):
-                        raise ValueError(
-                            "Cannot independently accumulate non-string reasoning deltas."
-                        )
-                    fragments.append(delta[field])
-            owners = [(delta, history)]
-            for call in delta.get("tool_calls") or []:
-                owners.append((call, history["tool_calls"][call["index"]]))
-            for source, collected in owners:
-                if "extra_content" in source and source["extra_content"] != collected.get(
-                    "extra_content"
-                ):
-                    raise ValueError(
-                        "SDK accumulation changed an opaque extra_content attachment."
-                    )
-    for field, fragments in reasoning.items():
-        if fragments and history.get(field) != "".join(fragments):
-            raise ValueError("SDK accumulation changed reasoning history.")
-
-
-def validate_turn(history: dict, finish_reason: str, scenario: str, turn: int) -> None:
-    """Require the complete requested conversation before marking provider evidence complete."""
-    if history.get("role") != "assistant":
-        raise ValueError("SDK accumulation did not retain the assistant role.")
-    calls = history.get("tool_calls") or []
-    expected = []
-    if scenario == "tools" and turn < 2:
-        expected = [[2, 3]] if turn == 0 else [[4, 5]]
-    elif scenario == "parallel" and turn == 0:
-        expected = [[2, 3], [4, 7]]
-    if len(calls) != len(expected):
-        raise ValueError("Provider did not return the required number of tool calls.")
-    if finish_reason != ("tool_calls" if expected else "stop"):
-        raise ValueError("Provider did not complete the requested turn.")
-    if not calls:
-        if not isinstance(history.get("content"), str) or not history["content"].strip():
-            raise ValueError("Provider did not return a final text answer.")
-        return
-    identities = [call.get("id") for call in calls]
-    if any(not isinstance(identity, str) or not identity for identity in identities) or len(
-        set(identities)
-    ) != len(identities):
-        raise ValueError("Provider tool identities are missing or duplicated.")
-    arguments = []
-    for call in calls:
-        function = call["function"]
-        if function["name"] != "add":
-            raise ValueError("Provider returned an unexpected tool.")
-        values = json.loads(function["arguments"])
-        if set(values) != {"a", "b"} or any(type(value) is not int for value in values.values()):
-            raise ValueError("Provider returned invalid add arguments.")
-        arguments.append(sorted(values.values()))
-    if sorted(arguments) != expected:
-        raise ValueError("Provider did not execute the requested tool scenario.")
-
-
-async def record(args: argparse.Namespace) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "source_hashes": {
-            "driver_sha256": sha256(Path(__file__).read_bytes()).hexdigest(),
-            "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
-        },
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "provider": args.provider,
-        "upstream_protocol": "chat/completions",
-        "upstream_url": args.base_url.rstrip("/") + "/chat/completions",
-        "requested_model": args.model,
-        "authentication": f"Bearer credential from {args.key_env}; value excluded",
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": (
-            "OpenAI SDK accumulation with repeated identical role snapshots omitted on copies; "
-            "original SSE and role metadata retained and checked independently"
-        ),
-        "turns": [],
-        "status": "incomplete",
-    }
-    messages = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "text", "text": "Remember the exact phrase: blue  lantern."},
-                {"type": "text", "text": "Reply briefly."},
-            ],
-        }
-    ]
-    tools = [
-        {
-            "type": "function",
-            "function": {
-                "name": "add",
-                "description": "Add two integers.",
-                "parameters": {
-                    "type": "object",
-                    "properties": {
-                        "a": {"type": "integer"},
-                        "b": {"type": "integer"},
-                    },
-                    "required": ["a", "b"],
-                    "additionalProperties": False,
-                },
-            },
-        }
-    ]
-    if args.scenario != "text":
-        messages = [
-            {
-                "role": "user",
-                "content": (
-                    "Use add to add 2 and 3. After the result, use add to add that result and 4. "
-                    "Then give the final answer."
-                    if args.scenario == "tools"
-                    else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-                ),
-            }
-        ]
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            async with AsyncOpenAI(
-                api_key=key,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    turn_info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(turn_info)
-                    body = {
-                        "model": args.model,
-                        "messages": messages,
-                        "stream": args.stream,
-                        "max_tokens": args.max_tokens,
-                    }
-                    if args.stream:
-                        body["stream_options"] = {"include_usage": True}
-                    if args.scenario != "text":
-                        body["tools"] = tools
-                        if args.scenario == "parallel":
-                            body["parallel_tool_calls"] = True
-                            body["tool_choice"] = "required" if turn == 0 else "none"
-                        else:
-                            body["tool_choice"] = (
-                                "none"
-                                if turn == 2
-                                else {"type": "function", "function": {"name": "add"}}
-                            )
-                    try:
-                        result = await client.chat.completions.create(
-                            **body, extra_body=args.extra_body
-                        )
-                        if args.stream:
-                            state = ChatCompletionStreamState()
-                            events = []
-                            roles = {}
-                            async with result:
-                                async for event in result:
-                                    events.append(event.model_dump(exclude_unset=True))
-                                    state.handle_chunk(accumulation_chunk(event, roles))
-                            result = state.get_final_completion()
-                        turn_info["returned_model"] = result.model
-                        if len(result.choices) != 1:
-                            raise ValueError("The recording scenario requires exactly one choice.")
-                        choice = result.choices[0]
-                        turn_info["finish_reason"] = choice.finish_reason
-                        history = assistant_history(choice.message)
-                        if args.stream:
-                            verify_accumulation(events, history)
-                        validate_turn(history, choice.finish_reason, args.scenario, turn)
-                        messages.append(history)
-                        calls = history.get("tool_calls") or []
-                        for call in calls:
-                            function = call["function"]
-                            arguments = json.loads(function["arguments"])
-                            messages.append(
-                                {
-                                    "role": "tool",
-                                    "tool_call_id": call["id"],
-                                    "content": str(arguments["a"] + arguments["b"]),
-                                }
-                            )
-                        if args.scenario == "text" and turn == 0:
-                            messages.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": "text", "text": "Repeat the phrase"},
-                                        {
-                                            "type": "text",
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        turn_info["status"] = "complete"
-                    finally:
-                        turn_info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        # Exception strings may contain echoed headers or credentials; retain the
-        # class and stack locations while the proxy retains the reviewed response.
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(f"{args.provider}/{args.scenario}: {manifest['status']}; {args.output_dir}")
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt
deleted file mode 100644
index e411d3c..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/c5216c8626576ed431cb885bad638ef46344b3b77adf31357cdefc2104894b62.txt
+++ /dev/null
@@ -1,358 +0,0 @@
-#!/usr/bin/env python3
-"""Record native Responses or Messages conversations independently of Molto.
-
-Use the Chat driver for Chat Completions. This companion retains actual Responses
-output or SDK-collected Messages blocks as history and stops on incomplete turns.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from anthropic import AsyncAnthropic, omit as anthropic_omit
-from dotenv import load_dotenv
-from openai import AsyncOpenAI, omit
-
-from scripts import record_provider_conversation, recorder_proxy
-from scripts.record_provider_conversation import validate_turn
-
-
-def initial_history(protocol: str, scenario: str) -> list[dict]:
-    if scenario == "text":
-        part_type = "input_text" if protocol == "responses" else "text"
-        return [
-            {
-                "role": "user",
-                "content": [
-                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
-                    {"type": part_type, "text": "Reply briefly."},
-                ],
-            }
-        ]
-    prompt = (
-        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
-        if scenario == "tools"
-        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-    )
-    return [{"role": "user", "content": prompt}]
-
-
-def request_body(args, history: list[dict], turn: int) -> dict:
-    body = {"model": args.model}
-    if args.extra_body is not None:
-        body["extra_body"] = args.extra_body
-    schema = {
-        "type": "object",
-        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
-        "required": ["a", "b"],
-        "additionalProperties": False,
-    }
-    final = turn == (2 if args.scenario == "tools" else 1)
-    if args.protocol == "responses":
-        body.update(
-            input=history,
-            store=False,
-            max_output_tokens=args.max_tokens,
-            reasoning={"effort": args.reasoning},
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {
-                    "type": "function",
-                    "name": "add",
-                    "description": "Add two integers.",
-                    "parameters": schema,
-                }
-            ]
-            body["tool_choice"] = (
-                "none"
-                if final
-                else "required"
-                if args.scenario == "parallel"
-                else {"type": "function", "name": "add"}
-            )
-            body["parallel_tool_calls"] = args.scenario == "parallel"
-    else:
-        body.update(messages=history, max_tokens=args.max_tokens)
-        body["thinking"] = (
-            {"type": "disabled"}
-            if args.reasoning == "none"
-            else {"type": "enabled", "budget_tokens": 1024}
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {"name": "add", "description": "Add two integers.", "input_schema": schema}
-            ]
-            body["tool_choice"] = (
-                {"type": "none"}
-                if final
-                else {"type": "auto"}
-                if args.reasoning != "none"
-                else {"type": "any", "disable_parallel_tool_use": False}
-                if args.scenario == "parallel"
-                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
-            )
-    return body
-
-
-async def result_and_history(client, args, body: dict):
-    if args.protocol == "responses":
-        result = await client.responses.create(**body, stream=args.stream)
-        if args.stream:
-            terminal = None
-            async with result:
-                async for event in result:
-                    if event.type in {
-                        "response.completed",
-                        "response.incomplete",
-                        "response.failed",
-                    }:
-                        if terminal is not None:
-                            raise ValueError("Multiple Responses terminal events.")
-                        terminal = event.response
-            if terminal is None:
-                raise ValueError("Responses stream has no terminal result.")
-            result = terminal
-        if result.status != "completed":
-            raise ValueError("Responses result did not complete.")
-        content = [item.model_dump(exclude_unset=True) for item in result.output]
-        calls = [
-            {
-                "id": item["call_id"],
-                "type": "function",
-                "function": {"name": item["name"], "arguments": item["arguments"]},
-            }
-            for item in content
-            if item["type"] == "function_call"
-        ]
-        text = "".join(
-            part["text"]
-            for item in content
-            if item["type"] == "message"
-            for part in item["content"]
-            if part["type"] == "output_text"
-        )
-        reason = "tool_calls" if calls else "stop"
-        history = content
-    else:
-        if args.stream:
-            async with client.messages.stream(**body) as stream:
-                stops = 0
-                async for event in stream:
-                    if event.type == "message_stop":
-                        stops += 1
-                if stops != 1:
-                    raise ValueError("Messages stream must contain exactly one message_stop.")
-                result = await stream.get_final_message()
-        else:
-            result = await client.messages.create(**body, stream=False)
-        content = [
-            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
-            for part in result.content
-        ]
-        calls = [
-            {
-                "id": part["id"],
-                "type": "function",
-                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
-            }
-            for part in content
-            if part["type"] == "tool_use"
-        ]
-        text = "".join(part["text"] for part in content if part["type"] == "text")
-        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
-            result.stop_reason, result.stop_reason
-        )
-        history = [{"role": "assistant", "content": content}]
-    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
-
-
-async def record(args) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    if args.protocol == "messages" and any(
-        line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
-        for line in os.environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
-    ):
-        raise ValueError(
-            "Remove authentication entries from ANTHROPIC_CUSTOM_HEADERS before recording."
-        )
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "source_hashes": {
-            name: sha256(Path(path).read_bytes()).hexdigest()
-            for name, path in {
-                "driver_sha256": __file__,
-                "recorder_sha256": recorder_proxy.__file__,
-                "validation_sha256": record_provider_conversation.__file__,
-            }.items()
-        },
-        "provider": args.provider,
-        "upstream_protocol": args.protocol,
-        "upstream_url": args.base_url.rstrip("/")
-        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
-        "requested_model": args.model,
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "reasoning_setting": args.reasoning,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "authentication": f"{'Bearer' if args.protocol == 'responses' or args.auth == 'bearer' else 'x-api-key'} credential from {args.key_env}; value excluded",
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-        "turns": [],
-        "status": "incomplete",
-    }
-    history = initial_history(args.protocol, args.scenario)
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
-            auth = {"api_key": key}
-            if args.protocol == "messages":
-                auth = {
-                    "api_key": None if args.auth == "bearer" else key,
-                    "auth_token": key if args.auth == "bearer" else None,
-                }
-            async with client_type(
-                **auth,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                default_headers=(
-                    {
-                        "Authorization": f"Bearer {key}",
-                        "OpenAI-Organization": omit,
-                        "OpenAI-Project": omit,
-                    }
-                    if args.protocol == "responses"
-                    else {
-                        "Authorization": f"Bearer {key}"
-                        if args.auth == "bearer"
-                        else anthropic_omit,
-                        "X-Api-Key": anthropic_omit if args.auth == "bearer" else key,
-                    }
-                ),
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(info)
-                    try:
-                        result, output, validation, reason = await result_and_history(
-                            client, args, request_body(args, history, turn)
-                        )
-                        info["returned_model"] = result.model
-                        info["finish_reason"] = reason
-                        validate_turn(validation, reason, args.scenario, turn)
-                        history.extend(output)
-                        tool_results = []
-                        for call in validation["tool_calls"]:
-                            values = json.loads(call["function"]["arguments"])
-                            answer = str(values["a"] + values["b"])
-                            if args.protocol == "responses":
-                                history.append(
-                                    {
-                                        "type": "function_call_output",
-                                        "call_id": call["id"],
-                                        "output": answer,
-                                    }
-                                )
-                            else:
-                                tool_results.append(
-                                    {
-                                        "type": "tool_result",
-                                        "tool_use_id": call["id"],
-                                        "content": answer,
-                                    }
-                                )
-                        if tool_results:
-                            history.append({"role": "user", "content": tool_results})
-                        if args.scenario == "text" and turn == 0:
-                            part_type = "input_text" if args.protocol == "responses" else "text"
-                            history.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": part_type, "text": "Repeat the phrase"},
-                                        {
-                                            "type": part_type,
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        info["status"] = "complete"
-                    finally:
-                        info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(
-        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
-    )
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--auth", choices=("api-key", "bearer"), default="api-key")
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96.txt
deleted file mode 100644
index 6cc4659..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/c8b358a47b042ca7fe742c0ec84ef23f4355a7abf57afb3051d84970f3aa2c96.txt
+++ /dev/null
@@ -1,346 +0,0 @@
-#!/usr/bin/env python3
-"""
-HTTP Proxy with Request/Response Recording
-Records all traffic to YAML files for later analysis.
-
-```bash
-python scripts/recorder_proxy.py
-```
-"""
-
-import argparse
-import json
-from collections.abc import Awaitable, Callable
-from contextlib import asynccontextmanager
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import Any, AsyncGenerator
-
-import uvicorn
-from anyio import CancelScope
-from fastapi import FastAPI, Request, Response
-from fastapi.responses import StreamingResponse
-from httpx import URL, AsyncClient
-from loguru import logger
-from starlette.types import Send
-from uuid_utils import uuid7
-from yaml import dump as yaml_dump
-
-# Unreviewed captures must never enter the matched fixture corpus.
-OUTPUT_DIR = Path("/tmp/molto-recordings")
-TARGET_HOST = "https://api.openai.com"
-TIMEOUT = 60 * 5  # 5 minutes
-
-# Each exchange is evidence: retries would conceal the original provider failure.
-# Native SDK callers must likewise set max_retries=0.
-HTTP_CLIENT = AsyncClient(timeout=TIMEOUT)
-
-# Headers to record (whitelist)
-RECORDED_HEADERS = {
-    "content-type",
-    "content-length",
-    "authorization",
-    "user-agent",
-    "accept",
-    "accept-encoding",
-    "cache-control",
-    "connection",
-    # Helpful for grouping multi-request tool loops into a single "run"
-    "x-run-id",
-    "x-request-id",
-    "request-id",
-    "retry-after",
-}
-
-# Headers to exclude when forwarding response (they're handled by httpx/client)
-EXCLUDED_RESPONSE_HEADERS = {
-    "content-encoding",  # Already decoded by httpx
-    "content-length",  # Will be recalculated
-    "transfer-encoding",  # Handled by the server
-    "connection",  # Let the server handle this
-}
-
-
-def mask_authorization(value: str) -> str:
-    """
-    Mask Authorization header values in recordings.
-
-    Cassettes are intended to be shareable "golden" artifacts; never write any
-    API key material to disk (even partially).
-    """
-    if not value:
-        return value
-    lower = value.lower()
-    if lower.startswith("bearer "):
-        return "Bearer ***"
-    return "***"
-
-
-def filter_headers(headers) -> dict:
-    """Filter headers to only include whitelisted ones."""
-    return {
-        k: v if k.lower() != "authorization" else mask_authorization(v)
-        for k, v in headers.items()
-        if k.lower() in RECORDED_HEADERS
-    }
-
-
-def filter_response_headers(headers) -> dict:
-    """Filter response headers to exclude problematic ones."""
-    return {k: v for k, v in headers.items() if k.lower() not in EXCLUDED_RESPONSE_HEADERS}
-
-
-def save_recording(recording: dict[str, Any], filename: str):
-    """Save recording to file."""
-    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
-    filepath = OUTPUT_DIR / filename
-    with open(filepath.with_suffix(".yaml"), "w", encoding="utf-8") as f:
-        yaml_dump(recording, f, allow_unicode=True, encoding="utf-8")
-
-
-@asynccontextmanager
-async def lifespan(app: FastAPI):
-    yield
-    await HTTP_CLIENT.aclose()
-
-
-app = FastAPI(title="Recording Proxy", lifespan=lifespan)
-
-
-class RecordingStreamingResponse(StreamingResponse):
-    def __init__(self, *args, on_close: Callable[[], Awaitable[None]], **kwargs):
-        super().__init__(*args, **kwargs)
-        self.on_close = on_close
-
-    async def stream_response(self, send: Send) -> None:
-        try:
-            await super().stream_response(send)
-        finally:
-            # A disconnect during send leaves the generator suspended at yield.
-            # Close it explicitly so its recording is saved before returning.
-            with CancelScope(shield=True):
-                try:
-                    await self.body_iterator.aclose()
-                finally:
-                    await self.on_close()
-
-
-def decode_body(body: bytes, content_type: str) -> Any:
-    """Retain malformed or non-JSON bodies without inventing a JSON representation."""
-    media_type = content_type.partition(";")[0].strip().lower()
-    if media_type == "application/json" or media_type.endswith("+json"):
-        try:
-            return json.loads(body)
-        except (ValueError, UnicodeDecodeError):
-            pass
-    try:
-        return body.decode("utf-8")
-    except UnicodeDecodeError:
-        return body
-
-
-def mask_secrets(value: Any, secrets: list[str]) -> Any:
-    """Mask known request credentials, including credentials echoed by an upstream error."""
-    if isinstance(value, dict):
-        return {key: mask_secrets(item, secrets) for key, item in value.items()}
-    if isinstance(value, list):
-        return [mask_secrets(item, secrets) for item in value]
-    if isinstance(value, (str, bytes)):
-        for secret in secrets:
-            if isinstance(value, bytes):
-                value = value.replace(secret.encode(), b"***")
-            else:
-                value = value.replace(secret, "***")
-    return value
-
-
-@app.api_route(
-    "/{path:path}",
-    methods=["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"],
-)
-async def proxy_request(request: Request, path: str) -> Response:
-    """Forward one exchange without retries and retain its observed completion state."""
-    request_id = str(uuid7())
-    now = datetime.now(timezone.utc)
-    filename = f"{now.strftime('%Y-%m-%d')}-{request_id}"
-    logger.info("Recording exchange to {}", OUTPUT_DIR / filename)
-    target = URL(TARGET_HOST)
-    if target.username or target.password or target.query:
-        raise ValueError("Configure credentials on the SDK, not in the proxy target URL")
-    target_url = f"{TARGET_HOST.rstrip('/')}/{path}"
-    secrets = [
-        value
-        for name, value in request.headers.items()
-        if name.lower() in {"authorization", "x-api-key", "api-key"} and value
-    ]
-    authorization = request.headers.get("authorization", "")
-    if authorization.lower().startswith("bearer "):
-        secrets.append(authorization[7:])
-    secrets.extend(
-        value
-        for name, value in request.query_params.multi_items()
-        if name.lower() in {"key", "api_key", "api-key", "access_token"} and value
-    )
-    body = await request.body()
-    parsed_body = decode_body(body, request.headers.get("content-type", ""))
-    recording: dict[str, Any] = {
-        "timestamp": now.isoformat(),
-        "request_id": request_id,
-        "filename": filename,
-        "upstream_url": target_url,
-        "request": {
-            "method": request.method,
-            "path": f"/{path}",
-            "query_params": dict(request.query_params),
-            "headers": filter_headers(request.headers),
-            "body": parsed_body,
-        },
-        "response": {"status_code": None, "headers": {}},
-    }
-    new_headers = {k: v for k, v in request.headers.items() if k.lower() != "host"}
-    upstream_request = HTTP_CLIENT.build_request(
-        request.method,
-        target_url,
-        params=request.query_params.multi_items(),
-        headers=new_headers,
-        content=body,
-        timeout=TIMEOUT,
-    )
-    try:
-        response = await HTTP_CLIENT.send(upstream_request, stream=True)
-    except Exception as exc:
-        # Exception text can contain credential-bearing URLs. Retain the class only.
-        recording["response"]["transport_error"] = type(exc).__name__
-        save_recording(mask_secrets(recording, secrets), filename)
-        raise
-    result = recording["response"]
-    result["status_code"] = response.status_code
-    result["headers"] = filter_headers(response.headers)
-    media_type = response.headers.get("content-type", "")
-    if media_type.partition(";")[0].strip().lower() == "text/event-stream":
-        result.update(sse=[], stream_status="disconnected", terminal_event=None, error_event=False)
-
-        async def close_stream() -> None:
-            await response.aclose()
-            save_recording(mask_secrets(recording, secrets), filename)
-
-        async def stream() -> AsyncGenerator[str, None]:
-            try:
-                async for line in response.aiter_lines():
-                    # This is ordered SSE-line evidence, not original TCP/newline bytes.
-                    result["sse"].append(f"{line}\n")
-                    if line.startswith("event:"):
-                        event_type = line.removeprefix("event:").strip()
-                        if event_type in {
-                            "response.completed",
-                            "response.incomplete",
-                            "response.failed",
-                            "message_stop",
-                        }:
-                            result["terminal_event"] = event_type
-                        if event_type == "error":
-                            result["error_event"] = True
-                    if line.startswith("data:"):
-                        data = line.removeprefix("data:").strip()
-                        if data == "[DONE]":
-                            result["terminal_event"] = "[DONE]"
-                        else:
-                            try:
-                                event = json.loads(data)
-                            except ValueError:
-                                event = None
-                            if isinstance(event, dict) and (
-                                event.get("type") == "error" or "error" in event
-                            ):
-                                result["error_event"] = True
-                    yield f"{line}\n"
-                result["stream_status"] = "complete"
-            except Exception as exc:
-                result["stream_status"] = "transport_error"
-                result["transport_error"] = type(exc).__name__
-                raise
-
-        return RecordingStreamingResponse(
-            stream(),
-            on_close=close_stream,
-            status_code=response.status_code,
-            headers=filter_response_headers(response.headers),
-        )
-
-    chunks = []
-    try:
-        async for chunk in response.aiter_bytes():
-            chunks.append(chunk)
-    except Exception as exc:
-        result["transport_error"] = type(exc).__name__
-        raise
-    finally:
-        # Retain bytes received before a read failure as incomplete evidence too.
-        response_body = b"".join(chunks)
-        result["body"] = decode_body(response_body, media_type)
-        result["body_bytes"] = response_body
-        with CancelScope(shield=True):
-            await response.aclose()
-            save_recording(mask_secrets(recording, secrets), filename)
-    return Response(
-        content=response_body,
-        status_code=response.status_code,
-        headers=filter_response_headers(response.headers),
-    )
-
-
-def main():
-    """Run the recording proxy server."""
-    global OUTPUT_DIR, TARGET_HOST
-
-    parser = argparse.ArgumentParser(
-        description="HTTP Proxy with Request/Response Recording",
-        formatter_class=argparse.RawDescriptionHelpFormatter,
-    )
-    parser.add_argument(
-        "--output-dir",
-        "-o",
-        default=OUTPUT_DIR,
-    )
-    parser.add_argument(
-        "--target",
-        "-t",
-        default=TARGET_HOST,
-    )
-    parser.add_argument(
-        "--port",
-        "-p",
-        type=int,
-        default=8080,
-    )
-    parser.add_argument(
-        "--host",
-        default="127.0.0.1",
-    )
-
-    args = parser.parse_args()
-
-    OUTPUT_DIR = Path(args.output_dir)
-    TARGET_HOST = args.target.rstrip("/")
-    target = URL(TARGET_HOST)
-    if target.username or target.password or target.query:
-        parser.error("Configure credentials on the SDK, not in the proxy target URL")
-
-    print("Recording Proxy Starting (no retries)...")
-    print(f"   Proxy: http://{args.host}:{args.port}")
-    print(f"   Target: {TARGET_HOST}")
-    print(f"   Output: {OUTPUT_DIR.absolute()}")
-    print("   Press CTRL+C to stop\n")
-
-    uvicorn.run(
-        app,
-        host=args.host,
-        port=args.port,
-        log_level="info",
-        # Access logs include the raw query string, which can contain credentials.
-        access_log=False,
-    )
-
-
-if __name__ == "__main__":
-    main()
diff --git a/tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt b/tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt
deleted file mode 100644
index 3e650a4..0000000
--- a/tests/cassettes/provider_recordings/2026-11-04/sources/fed69930491fb09e7047fadc6d62cf73714cdea8dd9121cab8dc72e618618aa3.txt
+++ /dev/null
@@ -1,359 +0,0 @@
-#!/usr/bin/env python3
-"""Record native Responses or Messages conversations independently of Molto.
-
-Use the Chat driver for Chat Completions. This companion retains actual Responses
-output or SDK-collected Messages blocks as history and stops on incomplete turns.
-"""
-
-import argparse
-import asyncio
-import json
-import os
-import platform
-import subprocess
-import traceback
-from datetime import datetime, timezone
-from hashlib import sha256
-from importlib.metadata import version
-from pathlib import Path
-from urllib.parse import urlsplit
-
-import httpx
-from anthropic import AsyncAnthropic
-from anthropic import omit as anthropic_omit
-from dotenv import load_dotenv
-from openai import AsyncOpenAI, omit
-
-from scripts import record_provider_conversation, recorder_proxy
-from scripts.record_provider_conversation import validate_turn
-
-
-def initial_history(protocol: str, scenario: str) -> list[dict]:
-    if scenario == "text":
-        part_type = "input_text" if protocol == "responses" else "text"
-        return [
-            {
-                "role": "user",
-                "content": [
-                    {"type": part_type, "text": "Remember the exact phrase: blue  lantern."},
-                    {"type": part_type, "text": "Reply briefly."},
-                ],
-            }
-        ]
-    prompt = (
-        "Use add to add 2 and 3. After the result, use add to add that result and 4. Then give the final answer."
-        if scenario == "tools"
-        else "Call add twice in parallel: first 2 and 3, then 7 and 4. Then give both results."
-    )
-    return [{"role": "user", "content": prompt}]
-
-
-def request_body(args, history: list[dict], turn: int) -> dict:
-    body = {"model": args.model}
-    if args.extra_body is not None:
-        body["extra_body"] = args.extra_body
-    schema = {
-        "type": "object",
-        "properties": {"a": {"type": "integer"}, "b": {"type": "integer"}},
-        "required": ["a", "b"],
-        "additionalProperties": False,
-    }
-    final = turn == (2 if args.scenario == "tools" else 1)
-    if args.protocol == "responses":
-        body.update(
-            input=history,
-            store=False,
-            max_output_tokens=args.max_tokens,
-            reasoning={"effort": args.reasoning},
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {
-                    "type": "function",
-                    "name": "add",
-                    "description": "Add two integers.",
-                    "parameters": schema,
-                }
-            ]
-            body["tool_choice"] = (
-                "none"
-                if final
-                else "required"
-                if args.scenario == "parallel"
-                else {"type": "function", "name": "add"}
-            )
-            body["parallel_tool_calls"] = args.scenario == "parallel"
-    else:
-        body.update(messages=history, max_tokens=args.max_tokens)
-        body["thinking"] = (
-            {"type": "disabled"}
-            if args.reasoning == "none"
-            else {"type": "enabled", "budget_tokens": 1024}
-        )
-        if args.scenario != "text":
-            body["tools"] = [
-                {"name": "add", "description": "Add two integers.", "input_schema": schema}
-            ]
-            body["tool_choice"] = (
-                {"type": "none"}
-                if final
-                else {"type": "auto"}
-                if args.reasoning != "none"
-                else {"type": "any", "disable_parallel_tool_use": False}
-                if args.scenario == "parallel"
-                else {"type": "tool", "name": "add", "disable_parallel_tool_use": True}
-            )
-    return body
-
-
-async def result_and_history(client, args, body: dict):
-    if args.protocol == "responses":
-        result = await client.responses.create(**body, stream=args.stream)
-        if args.stream:
-            terminal = None
-            async with result:
-                async for event in result:
-                    if event.type in {
-                        "response.completed",
-                        "response.incomplete",
-                        "response.failed",
-                    }:
-                        if terminal is not None:
-                            raise ValueError("Multiple Responses terminal events.")
-                        terminal = event.response
-            if terminal is None:
-                raise ValueError("Responses stream has no terminal result.")
-            result = terminal
-        if result.status != "completed":
-            raise ValueError("Responses result did not complete.")
-        content = [item.model_dump(exclude_unset=True) for item in result.output]
-        calls = [
-            {
-                "id": item["call_id"],
-                "type": "function",
-                "function": {"name": item["name"], "arguments": item["arguments"]},
-            }
-            for item in content
-            if item["type"] == "function_call"
-        ]
-        text = "".join(
-            part["text"]
-            for item in content
-            if item["type"] == "message"
-            for part in item["content"]
-            if part["type"] == "output_text"
-        )
-        reason = "tool_calls" if calls else "stop"
-        history = content
-    else:
-        if args.stream:
-            async with client.messages.stream(**body) as stream:
-                stops = 0
-                async for event in stream:
-                    if event.type == "message_stop":
-                        stops += 1
-                if stops != 1:
-                    raise ValueError("Messages stream must contain exactly one message_stop.")
-                result = await stream.get_final_message()
-        else:
-            result = await client.messages.create(**body, stream=False)
-        content = [
-            part.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
-            for part in result.content
-        ]
-        calls = [
-            {
-                "id": part["id"],
-                "type": "function",
-                "function": {"name": part["name"], "arguments": json.dumps(part["input"])},
-            }
-            for part in content
-            if part["type"] == "tool_use"
-        ]
-        text = "".join(part["text"] for part in content if part["type"] == "text")
-        reason = {"tool_use": "tool_calls", "end_turn": "stop"}.get(
-            result.stop_reason, result.stop_reason
-        )
-        history = [{"role": "assistant", "content": content}]
-    return result, history, {"role": "assistant", "content": text, "tool_calls": calls}, reason
-
-
-async def record(args) -> int:
-    load_dotenv(override=False)
-    key = os.environ.get(args.key_env)
-    if not key:
-        raise ValueError(f"Configure {args.key_env} before recording.")
-    if args.protocol == "messages" and any(
-        line.partition(":")[0].strip().lower() in {"authorization", "x-api-key"}
-        for line in os.environ.get("ANTHROPIC_CUSTOM_HEADERS", "").splitlines()
-    ):
-        raise ValueError(
-            "Remove authentication entries from ANTHROPIC_CUSTOM_HEADERS before recording."
-        )
-    url = urlsplit(args.base_url)
-    if url.username or url.password or url.query or url.fragment:
-        raise ValueError("Use a base URL without embedded credentials, query, or fragment.")
-    args.output_dir.mkdir(parents=True, exist_ok=False)
-    recorder_proxy.OUTPUT_DIR = args.output_dir
-    recorder_proxy.TARGET_HOST = f"{url.scheme}://{url.netloc}"
-    manifest = {
-        "provenance": "recorded",
-        "captured_at": datetime.now(timezone.utc).isoformat(),
-        "revision": subprocess.check_output(["git", "rev-parse", "HEAD"], text=True).strip(),
-        "working_tree_dirty": bool(subprocess.check_output(["git", "diff", "--name-only"])),
-        "python": platform.python_version(),
-        "versions": {name: version(name) for name in ("openai", "anthropic", "httpx")},
-        "source_hashes": {
-            name: sha256(Path(path).read_bytes()).hexdigest()
-            for name, path in {
-                "driver_sha256": __file__,
-                "recorder_sha256": recorder_proxy.__file__,
-                "validation_sha256": record_provider_conversation.__file__,
-            }.items()
-        },
-        "provider": args.provider,
-        "upstream_protocol": args.protocol,
-        "upstream_url": args.base_url.rstrip("/")
-        + ("/responses" if args.protocol == "responses" else "/v1/messages"),
-        "requested_model": args.model,
-        "scenario": args.scenario,
-        "stream": args.stream,
-        "reasoning_setting": args.reasoning,
-        "max_tokens": args.max_tokens,
-        "extra_body": args.extra_body,
-        "authentication": f"{'Bearer' if args.protocol == 'responses' or args.auth == 'bearer' else 'x-api-key'} credential from {args.key_env}; value excluded",
-        "sdk_retries": 0,
-        "proxy_retries": 0,
-        "accumulation_policy": "Responses terminal output or Anthropic SDK final content; model_dump(exclude_unset=True); exclude only __json_buf/parsed_output SDK bookkeeping; manual actual-output history",
-        "turns": [],
-        "status": "incomplete",
-    }
-    history = initial_history(args.protocol, args.scenario)
-    exit_code = 0
-    try:
-        async with httpx.AsyncClient(
-            transport=httpx.ASGITransport(app=recorder_proxy.app)
-        ) as transport:
-            client_type = AsyncOpenAI if args.protocol == "responses" else AsyncAnthropic
-            auth = {"api_key": key}
-            if args.protocol == "messages":
-                auth = {
-                    "api_key": None if args.auth == "bearer" else key,
-                    "auth_token": key if args.auth == "bearer" else None,
-                }
-            async with client_type(
-                **auth,
-                base_url="http://recorder.local" + url.path,
-                http_client=transport,
-                default_headers=(
-                    {
-                        "Authorization": f"Bearer {key}",
-                        "OpenAI-Organization": omit,
-                        "OpenAI-Project": omit,
-                    }
-                    if args.protocol == "responses"
-                    else {
-                        "Authorization": f"Bearer {key}"
-                        if args.auth == "bearer"
-                        else anthropic_omit,
-                        "X-Api-Key": anthropic_omit if args.auth == "bearer" else key,
-                    }
-                ),
-                max_retries=0,
-                timeout=120,
-            ) as client:
-                for turn in range(3 if args.scenario == "tools" else 2):
-                    before = set(args.output_dir.glob("*.yaml"))
-                    info = {"turn": turn, "status": "incomplete"}
-                    manifest["turns"].append(info)
-                    try:
-                        result, output, validation, reason = await result_and_history(
-                            client, args, request_body(args, history, turn)
-                        )
-                        info["returned_model"] = result.model
-                        info["finish_reason"] = reason
-                        validate_turn(validation, reason, args.scenario, turn)
-                        history.extend(output)
-                        tool_results = []
-                        for call in validation["tool_calls"]:
-                            values = json.loads(call["function"]["arguments"])
-                            answer = str(values["a"] + values["b"])
-                            if args.protocol == "responses":
-                                history.append(
-                                    {
-                                        "type": "function_call_output",
-                                        "call_id": call["id"],
-                                        "output": answer,
-                                    }
-                                )
-                            else:
-                                tool_results.append(
-                                    {
-                                        "type": "tool_result",
-                                        "tool_use_id": call["id"],
-                                        "content": answer,
-                                    }
-                                )
-                        if tool_results:
-                            history.append({"role": "user", "content": tool_results})
-                        if args.scenario == "text" and turn == 0:
-                            part_type = "input_text" if args.protocol == "responses" else "text"
-                            history.append(
-                                {
-                                    "role": "user",
-                                    "content": [
-                                        {"type": part_type, "text": "Repeat the phrase"},
-                                        {
-                                            "type": part_type,
-                                            "text": " exactly, preserving its spaces.",
-                                        },
-                                    ],
-                                }
-                            )
-                        info["status"] = "complete"
-                    finally:
-                        info["files"] = [
-                            p.name for p in sorted(set(args.output_dir.glob("*.yaml")) - before)
-                        ]
-        manifest["status"] = "complete"
-    except Exception as error:
-        manifest["failure"] = {
-            "type": type(error).__name__,
-            "traceback": traceback.format_tb(error.__traceback__),
-        }
-        exit_code = 1
-    finally:
-        await recorder_proxy.HTTP_CLIENT.aclose()
-        (args.output_dir / "manifest.json").write_text(
-            json.dumps(recorder_proxy.mask_secrets(manifest, [key]), indent=2) + "\n"
-        )
-    print(
-        f"{args.provider}/{args.protocol}/{args.scenario}: {manifest['status']}; {args.output_dir}"
-    )
-    return exit_code
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--provider", required=True)
-    parser.add_argument("--protocol", choices=("responses", "messages"), required=True)
-    parser.add_argument("--base-url", required=True)
-    parser.add_argument("--key-env", required=True)
-    parser.add_argument("--auth", choices=("api-key", "bearer"), default="api-key")
-    parser.add_argument(
-        "--extra-body",
-        type=json.loads,
-        default=None,
-        help="Nonsecret provider settings only; persisted verbatim in the manifest.",
-    )
-    parser.add_argument("--model", required=True)
-    parser.add_argument("--output-dir", type=Path, required=True)
-    parser.add_argument("--scenario", choices=("text", "tools", "parallel"), default="text")
-    parser.add_argument("--reasoning", choices=("none", "low"), default="none")
-    parser.add_argument("--stream", action="store_true")
-    parser.add_argument("--max-tokens", type=int, default=2048)
-    return asyncio.run(record(parser.parse_args()))
-
-
-if __name__ == "__main__":
-    raise SystemExit(main())
diff --git a/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml
deleted file mode 100644
index a0b6387..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-00.yaml
+++ /dev/null
@@ -1,290 +0,0 @@
-filename: 2026-08-12-019ff568-b3e6-7833-bab3-209979a38e1a
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - type: text
-        text: What logo is this?
-      - type: image
-        source:
-          type: base64
-          media_type: image/png
-          data: 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
-      role: user
-    model: gpt-5.6-luna
-    stream: true
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    connection: keep-alive
-    content-length: '1737'
-    content-type: application/json
-    user-agent: AsyncAnthropic/Python 0.121.0
-  method: POST
-  path: /v1/messages
-  query_params: {}
-request_id: 019ff568-b3e6-7833-bab3-209979a38e1a
-response:
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":320,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
-
-    '
-  - '
-
-    '
-  - 'event: ping
-
-    '
-  - 'data: {"type": "ping"}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"That"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    is"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    the"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    **"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Git"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hub"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    Oct"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ocat"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    logo"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"**"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"—"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"the"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    styl"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"ized"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    silhouette"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    of"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    Git"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hub"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"’s"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    mascot"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_stop
-
-    '
-  - 'data: {"type":"content_block_stop","index":0}
-
-    '
-  - '
-
-    '
-  - 'event: message_delta
-
-    '
-  - 'data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null,"stop_details":null},"usage":{"input_tokens":320,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":25,"output_tokens_details":{"thinking_tokens":0}}}
-
-    '
-  - '
-
-    '
-  - 'event: message_stop
-
-    '
-  - 'data: {"type":"message_stop"}
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-08-12T09:58:27.558060+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml
deleted file mode 100644
index 968d98f..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/anthropic-messages-stream-01.yaml
+++ /dev/null
@@ -1,354 +0,0 @@
-filename: 2026-08-12-019ff568-c50e-7f21-9082-dad4472825d2
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - type: text
-        text: What logo is this?
-      - type: image
-        source:
-          type: base64
-          media_type: image/png
-          data: iVBORw0KGgoAAAANSUhEUgAAAgAAAAIAAQMAAADOtka5AAAABlBMVEUcGxv9/f2eWfzwAAAECUlEQVR42u3cQZKkIBAFUAgWLD0CR+FocDSOwhFcujDMiVn00HYM/rSzVao6/7aMV5qkYKlRRqPRaDQajUaj0Wg0Go1Go9FoNBqNRqPR/E2kbA5iaQVAovXYxwAV040j2jCwmG4CBuhwEyIiDPSPwTGB2XQyYcDS0TEkIqKMAcrgQwhU89/4Q6CVqTuQgf6mIKBfhMQC+rtpiQ/UTgkw4KlfhNBwCGzdEmCgWwRLfKAdaGp74wDQur2dDq5p+48wsH7sdDugyAVaFelfWg0x0L40NGBpu8MFinFELcV4HhDaZvEzsDZ64QGro11KPAlscQ+siQt082uAeAOwKqCAAgrwgNefVBXAAL5C+RUAuNR9fcBhoAwOWAxkMSA+BPEwis+FwWck8cqUMLAdAsTIpYDlABk0Iky5EvAcoIJOhpmvBAIHWEAnw6xXAokDbFcCxMqFgOUB+TrA8YByHeB5QB0YmHjAfB0QeMAyMBB5wDowkHjANjBANwH0xoDlAlmBLuBuA4oC1wH+FwFVAQUUUEABDLz+0qaAAueAYS+2FTgDDPvD8x2AN7iHchsw8K2w24CB72jeBcwD35ieXv/uPhMoAz9jYQJ54AdVdz2sG/qBZXr8oW2UPncOtwDz4w/vq/j9g8dfocgHgBUDd7zIsh0CSQy8/nuqL/F+4ujv5hkMGCGwASAxGlHWigsAAqOPZJ1UAeARUADghG2AO8mg4DaQjeMKgQBHUTaOFQIejqJsGAwOGAScBAYBJoBBkFWxGhwHzgQcVENJMy8sYAIlgHGgBJJeNLzE75UgVlAEUAJLGzwG1IAFnA4rGrwFHEMFADwG3D75cBwWDNTDM7JgYO7PKngu8bttPGhj/McA6fSJaPffYs/PBF/q5JkV3O907U0LlXkOzjtxNwI409dKgSYE49jKyJ6K7Jdau04Nj6vYW2AKdybLYBTgolg6wMytYt15J1cUt/+meHZZN1YKmP2upvOratp90/eW5a0DEAsInwH7PYB6QOaej71FPnM7KXeAwu2k0rSfBSq3FSsAYCvOnRV65rbi8iwQidbONffCBTYA4F4WA1kCTNQ6KYLLCzCtCoAZAPBkWKTAJgEstXFMe2DjAxkA8DqpioBWRfoW0Db1AIB/AhUFwNzm5NNA/Ng20NecAKgaTwCAP/1fF5geB/zjgJMC9nHAiIH0OBClQJACkxTwUsBJASsFjBhIUiBKgSAFJingpYCVAiZJgSgFJingpIARA0EKeAAwB3IBANwFAwBUhQIAnDcENgUUUOApICmggAIKKKCAAmNdK1vw/gKM+3GgnAQm8DrX+Z/Qi7CGROcrIKlC6LxKI7uJsBrhL/hNCpBoDHAzygF8G6TcB/iLgDom8AflkuIJHUxkLgAAAABJRU5ErkJggg==
-      role: user
-    - content:
-      - type: text
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diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml
deleted file mode 100644
index c3bfce1..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-00.yaml
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diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-chat_completions-stream-01.yaml
deleted file mode 100644
index 21232e6..0000000
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diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml
deleted file mode 100644
index 8f6881f..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-00.yaml
+++ /dev/null
@@ -1,301 +0,0 @@
-filename: 2026-08-12-019ff57f-8618-7eb2-944f-dad6439cb962
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diff --git a/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml
deleted file mode 100644
index 93abc76..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/openai-responses-stream-01.yaml
+++ /dev/null
@@ -1,372 +0,0 @@
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diff --git a/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 186c5d4..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-00.yaml
+++ /dev/null
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-
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-  - '
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499b8e20819bbd009385429347db","object":"chat.completion.chunk","created":1786530203,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":320,"total_tokens":345,"completion_tokens":25,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-10-13T14:41:27.361097+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml
deleted file mode 100644
index 5c15131..0000000
--- a/tests/cassettes/reference_pr76/input_image_base64/togetherai-chat_completions-stream-01.yaml
+++ /dev/null
@@ -1,255 +0,0 @@
-filename: 2026-10-13-01a135b6-1966-7333-a722-70931a527455
-request:
-  body:
-    max_completion_tokens: 2048
-    messages:
-    - content:
-      - text: What logo is this?
-        type: text
-      - image_url:
-          url: data:image/png;base64,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
-        type: image_url
-      role: user
-    - content: That is the **GitHub Octocat logo**—the stylized silhouette of GitHub’s
-        mascot.
-      role: assistant
-    - content:
-      - text: What is the animal?
-        type: text
-      role: user
-    model: gpt-5.6-luna
-    reasoning:
-      enabled: false
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '2557'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 3.1.0
-    x-run-id: input_image_base64/togetherai-chat_completions-stream-01.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a135b6-1966-7333-a722-70931a527455
-response:
-  headers:
-    cache-control: no-cache, no-transform
-    connection: keep-alive
-    content-type: text/event-stream;charset=utf-8
-  sse:
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
-
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-  - '
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-    '
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
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-    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"cat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"cat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
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-
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-  - '
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
-    Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
-    Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-    mascot","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":",","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":",","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
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-
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-  - '
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-
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-  - '
-
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"Oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-  - '
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-
-    '
-  - '
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
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-
-    '
-  - '
-
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"a","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
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-    cat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-  - '
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"
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-    with","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-  - '
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-    oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
-    oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-
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-  - '
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"-like","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"-like","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
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-    tent","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
-    tent","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
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-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"acles","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"acles","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_00c0e7423b71d21f006a7c499c8f7c819ba85946849512515a","object":"chat.completion.chunk","created":1786530204,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":356,"total_tokens":387,"completion_tokens":31,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-10-13T14:41:28.934223+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml
deleted file mode 100644
index 31d9e2f..0000000
--- a/tests/cassettes/reference_pr76/input_image_remote_url/anthropic-messages-stream-00.yaml
+++ /dev/null
@@ -1,261 +0,0 @@
-filename: 2026-08-19-01a0186f-037c-7ec2-b49e-afde82e2ad0d
-request:
-  body:
-    max_tokens: 2048
-    messages:
-    - content:
-      - type: text
-        text: What logo is this?
-      - type: image
-        source:
-          type: url
-          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
-      role: user
-    model: gpt-5.6-luna
-    stream: true
-    thinking:
-      type: disabled
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    connection: keep-alive
-    content-length: '298'
-    content-type: application/json
-    user-agent: Anthropic/Python 0.121.0
-  method: POST
-  path: /v1/messages
-  query_params: {}
-request_id: 01a0186f-037c-7ec2-b49e-afde82e2ad0d
-response:
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-  sse:
-  - 'event: message_start
-
-    '
-  - 'data: {"type":"message_start","message":{"model":"gpt-5.6-luna","id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":400,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"global"}}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_start
-
-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}
-
-    '
-  - '
-
-    '
-  - 'event: ping
-
-    '
-  - 'data: {"type":"ping"}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"That"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    is"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    the"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"
-    **"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Git"}}
-
-    '
-  - '
-
-    '
-  - 'event: content_block_delta
-
-    '
-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hub"}}
-
-    '
-  - '
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deleted file mode 100644
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diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-00.yaml
deleted file mode 100644
index d6a9992..0000000
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diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml
deleted file mode 100644
index bb74ef6..0000000
--- a/tests/cassettes/reference_pr76/input_image_remote_url/openai-chat_completions-stream-01.yaml
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diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml
deleted file mode 100644
index 026d43e..0000000
--- a/tests/cassettes/reference_pr76/input_image_remote_url/openai-responses-stream-00.yaml
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diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 8c86896..0000000
--- a/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-00.yaml
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-    the","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
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-
-    '
-  - '
-
-    '
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-    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
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-
-    '
-  - '
-
-    '
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
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-
-    '
-  - '
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-
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-  - '
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-
-    '
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-
-    '
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-
-    '
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-
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-
-    '
-  - '
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-    '
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-
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-
-    '
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-
-    '
-  - '
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-
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-
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-
-    '
-  - '
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-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553df8248198a2e0f4d0f57cfa83","object":"chat.completion.chunk","created":1787123006,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":400,"total_tokens":422,"completion_tokens":22,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-10-13T14:41:41.079433+00:00'
diff --git a/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml
deleted file mode 100644
index 52db72c..0000000
--- a/tests/cassettes/reference_pr76/input_image_remote_url/togetherai-chat_completions-stream-01.yaml
+++ /dev/null
@@ -1,234 +0,0 @@
-filename: 2026-10-13-01a135b6-5057-7d01-bd47-54177f2bd928
-request:
-  body:
-    max_completion_tokens: 2048
-    messages:
-    - content:
-      - text: What logo is this?
-        type: text
-      - image_url:
-          url: https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png
-        type: image_url
-      role: user
-    - content: That is the **GitHub logo**, featuring the stylized “Octocat” silhouette.
-      role: assistant
-    - content:
-      - text: What is the animal?
-        type: text
-      role: user
-    model: gpt-5.6-luna
-    reasoning:
-      enabled: false
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1221'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 3.1.0
-    x-run-id: input_image_remote_url/togetherai-chat_completions-stream-01.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a135b6-5057-7d01-bd47-54177f2bd928
-response:
-  headers:
-    cache-control: no-cache, no-transform
-    connection: keep-alive
-    content-type: text/event-stream;charset=utf-8
-  sse:
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"role":"assistant","content":"","reasoning":null}}],"model":"gpt-5.6-luna","service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"It","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"It","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
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-    '
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-    an","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
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-
-    '
-  - '
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-    '
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-
-    '
-  - '
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-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"ocat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"ocat","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"—","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"—","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"Git","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Git","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"Hub","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Hub","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"’s","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"’s","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
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-
-    '
-  - '
-
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-    mascot","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":",","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":",","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
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-
-    '
-  - '
-
-    '
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-    an","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
-    an","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
-    **","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
-    **","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"oct","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"oct","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"opus","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"opus","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
-    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
-    a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" a","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"
-    cat","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"**","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"**","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":".","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_0d14dcd1c4918aa7006a85553f9f648198979c6cc6185e3216","object":"chat.completion.chunk","created":1787123007,"choices":[],"model":"gpt-5.6-luna","usage":{"prompt_tokens":433,"total_tokens":461,"completion_tokens":28,"reasoning_tokens":0,"prompt_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0}},"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-10-13T14:41:42.999069+00:00'
diff --git a/tests/cassettes/reference_pr76/manifest.json b/tests/cassettes/reference_pr76/manifest.json
deleted file mode 100644
index 534de2d..0000000
--- a/tests/cassettes/reference_pr76/manifest.json
+++ /dev/null
@@ -1,348 +0,0 @@
-{
-  "provenance": "matched",
-  "source_pr": "https://github.com/EmbeddedLLM/molto/pull/76",
-  "source_revision": "42b9040cb2c74b3676d1749b2c4473c16b3bda9f",
-  "description": "Historical matched scenarios imported byte-for-byte. Model/request alignment is not live provider availability evidence.",
-  "files": [
-    {
-      "path": "simple_text/anthropic-messages-non_stream-00.yaml",
-      "source_path": "tests/cassettes/matched/simple_text/anthropic-messages-non_stream-00.yaml",
-      "sha256": "5751286f49cdc700beda9e1ad9352c3c7d2be28e9f77ffbd329d381f47cdf71e"
-    },
-    {
-      "path": "simple_text/anthropic-messages-non_stream-01.yaml",
-      "source_path": "tests/cassettes/matched/simple_text/anthropic-messages-non_stream-01.yaml",
-      "sha256": "475ab45d56fb9c34dbccdc6233dc92095698045215717fd4ec1f8ba6ff7ed332"
-    },
-    {
-      "path": "simple_text/anthropic-messages-stream-00.yaml",
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diff --git a/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index c4427cf..0000000
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deleted file mode 100644
index b22264e..0000000
--- a/tests/cassettes/reference_pr76/reasoning_raw/togetherai-chat_completions-stream-01.yaml
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-  status_code: 200
-timestamp: '2026-10-13T14:41:11.800450+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml
deleted file mode 100644
index 0d55a0e..0000000
--- a/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-00.yaml
+++ /dev/null
@@ -1,155 +0,0 @@
-filename: 2026-08-06-019fd60b-b34a-77f2-9dcd-a84f69c6e1a6
-request:
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-    max_completion_tokens: 2048
-    messages:
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-      - text: What is 2+2?
-        type: text
-      role: user
-    model: deepseek-v4-flash
-    reasoning_effort: high
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '191'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 019fd60b-b34a-77f2-9dcd-a84f69c6e1a6
-response:
-  headers:
-    cache-control: no-cache
-    connection: keep-alive
-    content-type: text/event-stream; charset=utf-8
-  sse:
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-  - 'data: [DONE]
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-  - '
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-    '
-  status_code: 200
-timestamp: '2026-08-06T07:48:38.858585+00:00'
diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml
deleted file mode 100644
index 36d1c5a..0000000
--- a/tests/cassettes/reference_pr76/reasoning_raw/vllm-chat_completions-stream-01.yaml
+++ /dev/null
@@ -1,1512 +0,0 @@
-filename: 2026-08-06-019fd61e-154c-78a3-b13f-98ec0f162f34
-request:
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-    max_completion_tokens: 2048
-    messages:
-    - content:
-      - text: What is 2+2?
-        type: text
-      role: user
-    - content: '4'
-      reasoning_content: We need answer simple. Need comply. 2+2=4.
-      role: assistant
-    - content:
-      - text: What about 2*2?
-        type: text
-      role: user
-    model: deepseek-v4-flash
-    reasoning_effort: high
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '309'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 019fd61e-154c-78a3-b13f-98ec0f162f34
-response:
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index f37389e..0000000
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diff --git a/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml b/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml
deleted file mode 100644
index 3a10c74..0000000
--- a/tests/cassettes/reference_pr76/reasoning_raw/vllm-responses-stream-01.yaml
+++ /dev/null
@@ -1,2200 +0,0 @@
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deleted file mode 100644
index 04a01b2..0000000
--- a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-00.yaml
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diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml
deleted file mode 100644
index 7728f1a..0000000
--- a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-non_stream-01.yaml
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diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml
deleted file mode 100644
index 2fef728..0000000
--- a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-00.yaml
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diff --git a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml
deleted file mode 100644
index 9d9aed6..0000000
--- a/tests/cassettes/reference_pr76/simple_text/anthropic-messages-stream-01.yaml
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diff --git a/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml b/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml
deleted file mode 100644
index 0bb38e4..0000000
--- a/tests/cassettes/reference_pr76/simple_text/openai-chat_completions-non_stream-00.yaml
+++ /dev/null
@@ -1,58 +0,0 @@
-filename: 2026-08-26-01a03d4c-285a-7810-8b61-81ad4959418c
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deleted file mode 100644
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deleted file mode 100644
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index c7b60a8..0000000
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deleted file mode 100644
index 57604cd..0000000
--- a/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-non_stream-01.yaml
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deleted file mode 100644
index 2524e2f..0000000
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diff --git a/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/simple_text/togetherai-chat_completions-stream-01.yaml
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deleted file mode 100644
index accb306..0000000
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diff --git a/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml
deleted file mode 100644
index 6af25c4..0000000
--- a/tests/cassettes/reference_pr76/tool_call/openai-chat_completions-stream-01.yaml
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index 3a63941..0000000
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diff --git a/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-01.yaml
deleted file mode 100644
index 26946fe..0000000
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diff --git a/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml b/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml
deleted file mode 100644
index 9b054a8..0000000
--- a/tests/cassettes/reference_pr76/tool_call/openai-responses-stream-02.yaml
+++ /dev/null
@@ -1,407 +0,0 @@
-filename: 2026-08-13-019ffb46-7c09-7060-a8dd-cf3774c025e9
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diff --git a/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml b/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml
deleted file mode 100644
index 38e4443..0000000
--- a/tests/cassettes/reference_pr76/tool_call/togetherai-chat_completions-stream-02.yaml
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-
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-              minLength: 1
-              type: string
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-
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-
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-  - '
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-  status_code: 200
-timestamp: '2026-10-13T14:42:35.113727+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml
deleted file mode 100644
index 0dd40e8..0000000
--- a/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-00.yaml
+++ /dev/null
@@ -1,167 +0,0 @@
-filename: 2026-08-19-01a0199a-08f3-7e52-bc7d-9addb90a3b1c
-request:
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-    messages:
-    - content:
-      - text: Call a tool.
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-      role: user
-    model: gpt-5.6-luna
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-  - 'event: content_block_start
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-    '
-  - 'data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"call_6RQ8tlaNl5225QIJqygCVfFH","name":"read_file","input":{},"caller":{"type":"direct"}}}
-
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-  - 'event: ping
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-  - 'data: {"type":"ping"}
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"file"}}
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-  - 'event: content_block_delta
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-  - 'data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"_path"}}
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-  - 'event: content_block_stop
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-  - 'event: message_delta
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-
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-  status_code: 200
-timestamp: '2026-08-19T10:38:40.371753+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml
deleted file mode 100644
index 744a7a5..0000000
--- a/tests/cassettes/reference_pr76/tool_call_choice/anthropic-messages-stream-01.yaml
+++ /dev/null
@@ -1,222 +0,0 @@
-filename: 2026-08-19-01a0199a-0dee-7f23-a51c-f44c500260a6
-request:
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deleted file mode 100644
index 83ca6b3..0000000
--- a/tests/cassettes/reference_pr76/tool_call_choice/openai-chat_completions-stream-00.yaml
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deleted file mode 100644
index 9f2d3a2..0000000
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deleted file mode 100644
index e06eab0..0000000
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diff --git a/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml
deleted file mode 100644
index a821254..0000000
--- a/tests/cassettes/reference_pr76/tool_call_choice/openai-responses-stream-01.yaml
+++ /dev/null
@@ -1,250 +0,0 @@
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diff --git a/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 1d47054..0000000
--- a/tests/cassettes/reference_pr76/tool_call_choice/togetherai-chat_completions-stream-00.yaml
+++ /dev/null
@@ -1,138 +0,0 @@
-filename: 2026-10-13-01a135b6-9a5e-73d1-adb0-b806be86637a
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-    parallel_tool_calls: false
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deleted file mode 100644
index 43a4ed4..0000000
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deleted file mode 100644
index 7dd92e9..0000000
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diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml
deleted file mode 100644
index 7c6b54f..0000000
--- a/tests/cassettes/reference_pr76/tool_call_parallel/anthropic-messages-stream-01.yaml
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deleted file mode 100644
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diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml
deleted file mode 100644
index ac3acca..0000000
--- a/tests/cassettes/reference_pr76/tool_call_parallel/openai-responses-stream-01.yaml
+++ /dev/null
@@ -1,289 +0,0 @@
-filename: 2026-08-19-01a01994-5868-70c2-aefe-0ae837816c85
-request:
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-        type: input_text
-      role: user
-    - arguments: '{"file_path":"a.txt"}'
-      call_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
-      id: fc_09007b121320b6c5006a85863acad8819b88026d26e4bcabfc
-      name: read_file
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-      call_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
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-      output:
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-        type: input_text
-      role: user
-    max_output_tokens: 4096
-    model: gpt-5.6-luna
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-  headers:
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-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1293'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 2.53.0
-  method: POST
-  path: /v1/responses
-  query_params: {}
-request_id: 01a01994-5868-70c2-aefe-0ae837816c85
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diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml
deleted file mode 100644
index 3ba8869..0000000
--- a/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-00.yaml
+++ /dev/null
@@ -1,102 +0,0 @@
-filename: 2026-10-13-01a135b6-ecea-7a73-ad4a-ce6ae52e4d9a
-request:
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-    messages:
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-      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
-        type: text
-      role: user
-    model: gpt-5.6-luna
-    parallel_tool_calls: true
-    reasoning:
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-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-    tools:
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-        description: Read a file.
-        name: read_file
-        parameters:
-          additionalProperties: false
-          properties:
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-      type: function
-  headers:
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-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '544'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 3.1.0
-    x-run-id: tool_call_parallel/togetherai-chat_completions-stream-00.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a135b6-ecea-7a73-ad4a-ce6ae52e4d9a
-response:
-  headers:
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-
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-
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-    '
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-
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-
-    '
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-    '
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-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-10-13T14:42:23.082321+00:00'
diff --git a/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml
deleted file mode 100644
index 61cf21c..0000000
--- a/tests/cassettes/reference_pr76/tool_call_parallel/togetherai-chat_completions-stream-01.yaml
+++ /dev/null
@@ -1,200 +0,0 @@
-filename: 2026-10-13-01a135b6-f07e-7da2-9e74-9b856911cda8
-request:
-  body:
-    max_completion_tokens: 4096
-    messages:
-    - content:
-      - text: Call `read_file('a.txt')` and `read_file('b.txt')` in parallel.
-        type: text
-      role: user
-    - role: assistant
-      tool_calls:
-      - function:
-          arguments: '{"file_path":"a.txt"}'
-          name: read_file
-        id: call_2vUqiZL2gdz5t1zFZw4vZlCe
-        type: function
-      - function:
-          arguments: '{"file_path":"b.txt"}'
-          name: read_file
-        id: call_LgJQYrp3UbAyzBLkP8LDQDxL
-        type: function
-    - content:
-      - text: Malaysia
-        type: text
-      role: tool
-      tool_call_id: call_2vUqiZL2gdz5t1zFZw4vZlCe
-    - content:
-      - text: Malaysia
-        type: text
-      role: tool
-      tool_call_id: call_LgJQYrp3UbAyzBLkP8LDQDxL
-    - content:
-      - text: What are the contents?
-        type: text
-      role: user
-    model: gpt-5.6-luna
-    parallel_tool_calls: true
-    reasoning:
-      enabled: false
-    reasoning_effort: none
-    stream: true
-    stream_options:
-      include_obfuscation: false
-      include_usage: true
-    tools:
-    - function:
-        description: Read a file.
-        name: read_file
-        parameters:
-          additionalProperties: false
-          properties:
-            file_path:
-              description: Path.
-              type: string
-          required:
-          - file_path
-          type: object
-        strict: false
-      type: function
-  headers:
-    accept: application/json
-    accept-encoding: gzip, deflate
-    authorization: Bearer ***
-    connection: keep-alive
-    content-length: '1149'
-    content-type: application/json
-    user-agent: AsyncOpenAI/Python 3.1.0
-    x-run-id: tool_call_parallel/togetherai-chat_completions-stream-01.yaml
-  method: POST
-  path: /v1/chat/completions
-  query_params: {}
-request_id: 01a135b6-f07e-7da2-9e74-9b856911cda8
-response:
-  headers:
-    cache-control: no-cache, no-transform
-    connection: keep-alive
-    content-type: text/event-stream;charset=utf-8
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"Both","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"Both","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"a","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"a","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":".txt","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".txt","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"`","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"`","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"
-    and","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":"
-    and","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"
-    `","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":" `","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
-  - '
-
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":".txt","logprobs":null,"finish_reason":null,"delta":{"token_id":null,"content":".txt","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
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-
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-  - '
-
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-
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-
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-
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-
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-
-    '
-  - '
-
-    '
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-
-    '
-  - '
-
-    '
-  - 'data: {"id":"resp_09007b121320b6c5006a85863b9cd0819ba43469f121120c95","object":"chat.completion.chunk","created":1787135547,"choices":[{"index":0,"text":"","logprobs":null,"finish_reason":"stop","delta":{"token_id":null,"content":"","reasoning":null}}],"model":"gpt-5.6-luna","usage":null,"service_tier":"default"}
-
-    '
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-    '
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-
-    '
-  - '
-
-    '
-  - 'data: [DONE]
-
-    '
-  - '
-
-    '
-  status_code: 200
-timestamp: '2026-10-13T14:42:23.998415+00:00'
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-4321-7d03-9d0a-cde0abf78b4e.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-responses-non_stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-4321-7d03-9d0a-cde0abf78b4e.yaml
rename to tests/cassettes/upstream_ir/text_chat/fireworks-responses-non_stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-46c0-7dd2-99f7-90e04e730096.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-responses-non_stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-nonstream-none/2026-11-04-01a1a478-46c0-7dd2-99f7-90e04e730096.yaml
rename to tests/cassettes/upstream_ir/text_chat/fireworks-responses-non_stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/2026-11-04-01a1a479-2350-7fc0-856e-232fda3aa49a.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-responses-stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/2026-11-04-01a1a479-2350-7fc0-856e-232fda3aa49a.yaml
rename to tests/cassettes/upstream_ir/text_chat/fireworks-responses-stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/2026-11-04-01a1a479-2ac3-71d1-8f35-fe4669784e94.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-responses-stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-text-stream-none/2026-11-04-01a1a479-2ac3-71d1-8f35-fe4669784e94.yaml
rename to tests/cassettes/upstream_ir/text_chat/fireworks-responses-stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml b/tests/cassettes/upstream_ir/text_chat/openrouter-responses-non_stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-970a-7372-9853-00b5185d8f8e.yaml
rename to tests/cassettes/upstream_ir/text_chat/openrouter-responses-non_stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml b/tests/cassettes/upstream_ir/text_chat/openrouter-responses-non_stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-nonstream-none/2026-11-04-01a1a488-998f-78c3-b53d-ce3a18152d42.yaml
rename to tests/cassettes/upstream_ir/text_chat/openrouter-responses-non_stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml b/tests/cassettes/upstream_ir/text_chat/openrouter-responses-stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-9291-7ca3-9323-e38dd7bc0647.yaml
rename to tests/cassettes/upstream_ir/text_chat/openrouter-responses-stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml b/tests/cassettes/upstream_ir/text_chat/openrouter-responses-stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-text-stream-none/2026-11-04-01a1a489-985f-7d50-953f-708adb71b035.yaml
rename to tests/cassettes/upstream_ir/text_chat/openrouter-responses-stream-01.yaml
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-responses-non_stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-non_stream-00.yaml
new file mode 100644
index 0000000..944ea89
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-non_stream-00.yaml
@@ -0,0 +1,161 @@
+filename: 2026-11-05-01a1a9c9-a113-77e1-b1e0-826cbff9b63a
+request:
+  body:
+    input:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: zai-org/GLM-5.2
+    reasoning:
+      effort: minimal
+    store: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '220'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a1a9c9-a113-77e1-b1e0-826cbff9b63a
+response:
+  body:
+    background: false
+    completed_at: 1793849928
+    created_at: 1793849926
+    error: null
+    frequency_penalty: 0.0
+    id: resp_01a1a9c9-a27b-7162-8c19-affa897ead99
+    incomplete_details: null
+    instructions: null
+    max_output_tokens: 1024
+    max_tool_calls: null
+    metadata: {}
+    model: zai-org/GLM-5.2
+    object: response
+    output:
+    - content:
+      - annotations: []
+        text: "Here are several name suggestions for a robot gardener, broken down\
+          \ by the \"vibe\" you might be going for:\n\n**Botanical & Mechanical (Punny\
+          \ & Clever)**\n*   **Mechanibloom**\n*   **Robo-Rooter**\n*   **Sproutnik**\n\
+          *   **Bot-anical**\n*   **Turflink**\n*   **Metalleaf**\n*   **Thornbot**\n\
+          *   **Circuit-Sprout**\n\n**Cute & Friendly (Great for a home garden)**\n\
+          *   **BloomBot**\n*   **Sprig**\n*   **Pip**\n*   **Dewey**\n*   **Flora**\n\
+          *   **Sunny**\n*   **Bud-E** (Buddy)\n*   **Petal**\n\n**Nature & Mythology\
+          \ Inspired (Elegant or poetic)**\n*   **Sylvia** (Derived from *Silva*,\
+          \ Latin for forest)\n*   **Demeter** (Greek goddess of the harvest)\n* \
+          \  **Flora** (Roman goddess of flowers)\n*   **Ceres** (Roman goddess of\
+          \ agriculture)\n*   **Verdant**\n*   **Gaia**\n\n**Sci-Fi & Futuristic (Sleek\
+          \ and professional)**\n*   **CultiBot**\n*   **Green-Drive**\n*   **TerraDroid**\n\
+          *   **Aero-G**\n*   **VegiTech**\n*   **Sentinel-Sprout**\n*   **Bio-Mech**\n\
+          \n**Specific Task Names (If it does one thing really well)**\n*   **Clipper**\
+          \ (For a pruning/hedge-trimming robot)\n*   **Digger** (For planting/bulbing)\n\
+          *   **Sprinkles** (For a watering robot)\n*   **Weeder**\n*   **Harvestor**\n\
+          \n**My Top 3 Recommendations:**\n1.  **Sproutnik** – It’s memorable, fun\
+          \ to say, and perfectly blends the idea of a new plant sprout with Sputnik\
+          \ (the famous robot/satellite). \n2.  **BloomBot** – Classic, alliterative,\
+          \ and immediately tells you exactly what the robot does.\n3.  **Sylvia**\
+          \ – A great name if you want something that sounds like a helpful companion\
+          \ rather than a machine. \n\nWhat kind of vibe are you going for with your\
+          \ robot?"
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+  status_code: 200
+timestamp: '2026-11-05T03:38:45.907749+00:00'
+upstream_url: https://api.together.ai/v1/responses
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-responses-non_stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-non_stream-01.yaml
new file mode 100644
index 0000000..47fc61b
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-non_stream-01.yaml
@@ -0,0 +1,229 @@
+filename: 2026-11-05-01a1a9c9-d98a-75a0-9bf1-35306c219561
+request:
+  body:
+    input:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        text: "Here are several name suggestions for a robot gardener, broken down\
+          \ by the \"vibe\" you might be going for:\n\n**Botanical & Mechanical (Punny\
+          \ & Clever)**\n*   **Mechanibloom**\n*   **Robo-Rooter**\n*   **Sproutnik**\n\
+          *   **Bot-anical**\n*   **Turflink**\n*   **Metalleaf**\n*   **Thornbot**\n\
+          *   **Circuit-Sprout**\n\n**Cute & Friendly (Great for a home garden)**\n\
+          *   **BloomBot**\n*   **Sprig**\n*   **Pip**\n*   **Dewey**\n*   **Flora**\n\
+          *   **Sunny**\n*   **Bud-E** (Buddy)\n*   **Petal**\n\n**Nature & Mythology\
+          \ Inspired (Elegant or poetic)**\n*   **Sylvia** (Derived from *Silva*,\
+          \ Latin for forest)\n*   **Demeter** (Greek goddess of the harvest)\n* \
+          \  **Flora** (Roman goddess of flowers)\n*   **Ceres** (Roman goddess of\
+          \ agriculture)\n*   **Verdant**\n*   **Gaia**\n\n**Sci-Fi & Futuristic (Sleek\
+          \ and professional)**\n*   **CultiBot**\n*   **Green-Drive**\n*   **TerraDroid**\n\
+          *   **Aero-G**\n*   **VegiTech**\n*   **Sentinel-Sprout**\n*   **Bio-Mech**\n\
+          \n**Specific Task Names (If it does one thing really well)**\n*   **Clipper**\
+          \ (For a pruning/hedge-trimming robot)\n*   **Digger** (For planting/bulbing)\n\
+          *   **Sprinkles** (For a watering robot)\n*   **Weeder**\n*   **Harvestor**\n\
+          \n**My Top 3 Recommendations:**\n1.  **Sproutnik** – It’s memorable, fun\
+          \ to say, and perfectly blends the idea of a new plant sprout with Sputnik\
+          \ (the famous robot/satellite). \n2.  **BloomBot** – Classic, alliterative,\
+          \ and immediately tells you exactly what the robot does.\n3.  **Sylvia**\
+          \ – A great name if you want something that sounds like a helpful companion\
+          \ rather than a machine. \n\nWhat kind of vibe are you going for with your\
+          \ robot?"
+        type: output_text
+      id: msg_8d272d0e-aws_as1-01a1a9c9-a27b-7162-8c19-b00a4cc7a324
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Explain why that name fits.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: zai-org/GLM-5.2
+    reasoning:
+      effort: minimal
+    store: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2139'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a1a9c9-d98a-75a0-9bf1-35306c219561
+response:
+  body:
+    background: false
+    completed_at: 1793849951
+    created_at: 1793849946
+    error: null
+    frequency_penalty: 0.0
+    id: resp_01a1a9c9-f30f-7e40-8cdb-3e1e534c693b
+    incomplete_details: null
+    instructions: null
+    max_output_tokens: 1024
+    max_tool_calls: null
+    metadata: {}
+    model: zai-org/GLM-5.2
+    object: response
+    output:
+    - content:
+      - annotations: []
+        text: "To explain why these names fit, we have to look at what a robot gardener\
+          \ actually does: it blends technology, nature, care, and physical labor.\
+          \ The best names bridge the gap between cold mechanics and warm, organic\
+          \ life. \n\nHere is why certain names from the list work perfectly based\
+          \ on the \"vibe\" they are going for:\n\n**1. Sproutnik (The Fun & Memorable\
+          \ Pick)**\n*   **Why it fits:** This name is a portmanteau of \"sprout\"\
+          \ (the beginning of a plant's life) and \"Sputnik\" (the famous Soviet satellite\
+          \ that kicked off the space age). It perfectly captures the essence of a\
+          \ robot gardener: it's a piece of advanced technology whose entire purpose\
+          \ is to foster new, organic life. It sounds friendly, slightly retro-futuristic,\
+          \ and highly approachable.\n\n**2. BloomBot (The Classic Alliteration)**\n\
+          *   **Why it fits:** This uses alliteration (the repeating \"B\" sound),\
+          \ which makes it catchy and easy for humans to say. \"Bloom\" implies health,\
+          \ vitality, and the successful result of gardening, while \"Bot\" leaves\
+          \ no ambiguity about what the object is. It fits perfectly in a home setting\
+          \ where the robot is seen as a helpful household companion.\n\n**3. Sylvia\
+          \ (The Elegant / Companion Pick)**\n*   **Why it fits:** This name is rooted\
+          \ in the Latin word *silva*, meaning \"forest\" or \"woods.\" By giving\
+          \ the robot a traditional human name with a hidden botanical meaning, it\
+          \ changes the user's relationship with the machine. Instead of treating\
+          \ it like an appliance (like a lawnmower or a vacuum), the user will likely\
+          \ treat it more like a dedicated assistant or a friend. It softens the mechanical\
+          \ nature of the robot. \n\n**4. CultiBot (The Professional / Sci-Fi Pick)**\n\
+          *   **Why it fits:** This is a blending of \"cultivate\" (to prepare and\
+          \ use land for crops, or to promote the growth of) and \"robot.\" It sounds\
+          \ like a piece of professional agricultural equipment or a high-end consumer\
+          \ product. It fits perfectly if the robot is designed for heavy-duty work—like\
+          \ tilling soil, planting seeds, or managing a large greenhouse. \n\n**5.\
+          \ Sprig (The Minimalist / Cute Pick)**\n*   **Why it fits:** A \"sprig\"\
+          \ is a small stem or twig with leaves. It’s a very delicate, organic word.\
+          \ Naming a big, metal robot \"Sprig\" creates a fun juxtaposition—it’s a\
+          \ massive piece of hardware with a cute, earthy name. It fits perfectly\
+          \ for a small, roving robot that tends to indoor plants or a small balcony\
+          \ garden. \n\nUltimately, the name you choose should reflect the robot's\
+          \ primary function. If it's a heavy-duty outdoor machine, a name like **CultiBot**\
+          \ or **TerraDroid** grounds it in utility. If it's a small, friendly robot\
+          \ that keeps your houseplants alive, **Sprig** or **BloomBot** makes it\
+          \ feel like part of the family."
+        type: output_text
+      id: msg_4c6b7efc-aws_as1-01a1a9c9-f310-7831-821a-2d2893466adb
+      role: assistant
+      status: completed
+      type: message
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+      summary: null
+    safety_identifier: null
+    service_tier: default
+    status: completed
+    store: false
+    temperature: 1.0
+    text:
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+      verbosity: medium
+    tool_choice: auto
+    tools: []
+    top_logprobs: 0
+    top_p: 1.0
+    truncation: disabled
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+  headers:
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+    content-type: application/json
+    x-request-id: 4c6b7efc-aws_as1
+  status_code: 200
+timestamp: '2026-11-05T03:39:00.362701+00:00'
+upstream_url: https://api.together.ai/v1/responses
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-responses-stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-stream-00.yaml
new file mode 100644
index 0000000..8df8aff
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-stream-00.yaml
@@ -0,0 +1,2217 @@
+filename: 2026-11-05-01a1a9c7-4e6b-7d13-88d0-84ff5c0a64e4
+request:
+  body:
+    input:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: zai-org/GLM-5.2
+    reasoning:
+      effort: minimal
+    store: false
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '219'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a1a9c7-4e6b-7d13-88d0-84ff5c0a64e4
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: b096134a-aws_as1
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","sequence_number":0,"response":{"id":"resp_01a1a9c7-9d8b-7310-83e0-42b18fbda1f0","object":"response","created_at":1793849793,"completed_at":null,"background":false,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","sequence_number":1,"response":{"id":"resp_01a1a9c7-9d8b-7310-83e0-42b18fbda1f0","object":"response","created_at":1793849793,"completed_at":null,"background":false,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":2,"output_index":0,"item":{"id":"msg_01a1a9c79dda7060afc2980080dc45ba","type":"message","role":"assistant","status":"in_progress","content":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","sequence_number":3,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":4,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"Here","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":5,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    are several","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":6,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    name suggestions","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":7,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    for a robot gardener,","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":8,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    broken down by the \"","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":9,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"vibe\"
+    you might be","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":10,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    going for:\n\n**C","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":11,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"ute
+    & Friendly**\n","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":12,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"*   **Spr","logprobs":[]}
+
+    '
+  - '
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+    '
+  - 'event: response.output_text.delta
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+    Simple","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
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+    friendly","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":15,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":",
+    and perfect","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":16,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    for a robot","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":17,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    that helps things","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":18,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    grow.\n*   **B","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":19,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"loomie","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":20,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":":**
+    Sounds","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
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+    like a helpful","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
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+  - 'data: {"type":"response.output_text.delta","sequence_number":22,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":",
+    happy","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
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+    '
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+    little companion.\n*   **","logprobs":[]}
+
+    '
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+
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+  - 'event: response.output_text.delta
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+
+    '
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+    '
+  - 'event: response.output_text.delta
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+    Gentle","logprobs":[]}
+
+    '
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+    and sweet","logprobs":[]}
+
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+    great","logprobs":[]}
+
+    '
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+    name.","logprobs":[]}
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+    \n*   **D","logprobs":[]}
+
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+    '
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+
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+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":172,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    tool.\n*   **Mul","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":173,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"ch-O","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":174,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":":**
+    Sounds","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":175,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    like a friendly","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":176,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":",
+    mud","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":177,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"-loving","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":178,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    robot.\n\n**How","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":179,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    to choose the","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":180,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    best one:**\n*  ","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":181,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    If it''s","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":182,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    a **small","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":183,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    indoor","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":184,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    robot** that","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":185,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    potted","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":186,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    plants, go","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":187,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    with something","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":188,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    cute like *","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":189,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"Sprout*
+    or *B","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":190,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"ud*.\n*   If","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":191,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    it''s a **large outdoor","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":192,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    farming","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":193,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    robot**,","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":194,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    go with something stronger","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":195,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    like *Terra-Droid","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":196,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"*
+    or *Arbor*","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":197,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":".\n*   If
+    it''s","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":198,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    a **smart","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":199,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":",","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":200,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    app","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":201,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"-controlled","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":202,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    robot**,","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":203,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    a","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":204,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    sleek","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":205,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    name","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":206,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"
+    like *Fl","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":207,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"origen*
+    or *F","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":208,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":"olia*
+    works beautifully","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":209,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"delta":".","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":210,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"text":"Here
+    are several name suggestions for a robot gardener, broken down by the \"vibe\"
+    you might be going for:\n\n**Cute & Friendly**\n*   **Sprout:** Simple, friendly,
+    and perfect for a robot that helps things grow.\n*   **Bloomie:** Sounds like
+    a helpful, happy little companion.\n*   **Petal:** Gentle and sweet, great for
+    a robot that tends to flowers.\n*   **Leafy:** A playful, approachable name. \n*   **Dandy:**
+    Inspired by the dandelion, giving it a whimsical feel.\n*   **Bud:** Short, classic,
+    and implies a growing friendship.\n\n**Botanical & Scientific**\n*   **Chloris:**
+    Named after the Greek goddess of flowers (also where the word chlorophyll comes
+    from).\n*   **Florigen:** Named after the hormone in plants that tells them to
+    flower. Sounds very high-tech.\n*   **Aero:** A nod to aeroponics and aerodynamics.
+    \n*   **Folia:** Derived from *foliage* (leaves).\n*   **Arbor:** A classic word
+    for trees, giving the robot a sturdy, reliable feel.\n\n**Tech & Mechanical**\n*   **Green-Bot:**
+    Straightforward and classic.\n*   **Robo-Weed:** Great if the robot''s primary
+    job is pulling weeds.\n*   **Vine-O:** A pun on \"Dino,\" but referencing creeping
+    vines.\n*   **Mecha-Sprout:** For a slightly more heavy-duty gardening robot.\n*   **Terra-Droid:**
+    \"Terra\" meaning earth/soil, combined with a robotic suffix.\n*   **Root-Rover:**
+    Sounds like a rover exploring a garden planet.\n\n**Puns & Playful**\n*   **R2-Seed2:**
+    The ultimate Star Wars-inspired gardener pun.\n*   **Wall-Eed:** A play on Wall-E
+    and weed-pulling.\n*   **Optimus Rhizome:** A botanical take on Optimus Prime
+    (rhizomes are underground plant stems).\n*   **Trowel-Tron:** A classic robot
+    name merged with a gardening tool.\n*   **Mulch-O:** Sounds like a friendly, mud-loving
+    robot.\n\n**How to choose the best one:**\n*   If it''s a **small indoor robot**
+    that potted plants, go with something cute like *Sprout* or *Bud*.\n*   If it''s
+    a **large outdoor farming robot**, go with something stronger like *Terra-Droid*
+    or *Arbor*.\n*   If it''s a **smart, app-controlled robot**, a sleek name like
+    *Florigen* or *Folia* works beautifully.","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":211,"output_index":0,"item_id":"msg_01a1a9c79dda7060afc2980080dc45ba","content_index":0,"part":{"type":"output_text","text":"Here
+    are several name suggestions for a robot gardener, broken down by the \"vibe\"
+    you might be going for:\n\n**Cute & Friendly**\n*   **Sprout:** Simple, friendly,
+    and perfect for a robot that helps things grow.\n*   **Bloomie:** Sounds like
+    a helpful, happy little companion.\n*   **Petal:** Gentle and sweet, great for
+    a robot that tends to flowers.\n*   **Leafy:** A playful, approachable name. \n*   **Dandy:**
+    Inspired by the dandelion, giving it a whimsical feel.\n*   **Bud:** Short, classic,
+    and implies a growing friendship.\n\n**Botanical & Scientific**\n*   **Chloris:**
+    Named after the Greek goddess of flowers (also where the word chlorophyll comes
+    from).\n*   **Florigen:** Named after the hormone in plants that tells them to
+    flower. Sounds very high-tech.\n*   **Aero:** A nod to aeroponics and aerodynamics.
+    \n*   **Folia:** Derived from *foliage* (leaves).\n*   **Arbor:** A classic word
+    for trees, giving the robot a sturdy, reliable feel.\n\n**Tech & Mechanical**\n*   **Green-Bot:**
+    Straightforward and classic.\n*   **Robo-Weed:** Great if the robot''s primary
+    job is pulling weeds.\n*   **Vine-O:** A pun on \"Dino,\" but referencing creeping
+    vines.\n*   **Mecha-Sprout:** For a slightly more heavy-duty gardening robot.\n*   **Terra-Droid:**
+    \"Terra\" meaning earth/soil, combined with a robotic suffix.\n*   **Root-Rover:**
+    Sounds like a rover exploring a garden planet.\n\n**Puns & Playful**\n*   **R2-Seed2:**
+    The ultimate Star Wars-inspired gardener pun.\n*   **Wall-Eed:** A play on Wall-E
+    and weed-pulling.\n*   **Optimus Rhizome:** A botanical take on Optimus Prime
+    (rhizomes are underground plant stems).\n*   **Trowel-Tron:** A classic robot
+    name merged with a gardening tool.\n*   **Mulch-O:** Sounds like a friendly, mud-loving
+    robot.\n\n**How to choose the best one:**\n*   If it''s a **small indoor robot**
+    that potted plants, go with something cute like *Sprout* or *Bud*.\n*   If it''s
+    a **large outdoor farming robot**, go with something stronger like *Terra-Droid*
+    or *Arbor*.\n*   If it''s a **smart, app-controlled robot**, a sleek name like
+    *Florigen* or *Folia* works beautifully.","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":212,"output_index":0,"item":{"id":"msg_01a1a9c79dda7060afc2980080dc45ba","type":"message","role":"assistant","content":[{"type":"output_text","text":"Here
+    are several name suggestions for a robot gardener, broken down by the \"vibe\"
+    you might be going for:\n\n**Cute & Friendly**\n*   **Sprout:** Simple, friendly,
+    and perfect for a robot that helps things grow.\n*   **Bloomie:** Sounds like
+    a helpful, happy little companion.\n*   **Petal:** Gentle and sweet, great for
+    a robot that tends to flowers.\n*   **Leafy:** A playful, approachable name. \n*   **Dandy:**
+    Inspired by the dandelion, giving it a whimsical feel.\n*   **Bud:** Short, classic,
+    and implies a growing friendship.\n\n**Botanical & Scientific**\n*   **Chloris:**
+    Named after the Greek goddess of flowers (also where the word chlorophyll comes
+    from).\n*   **Florigen:** Named after the hormone in plants that tells them to
+    flower. Sounds very high-tech.\n*   **Aero:** A nod to aeroponics and aerodynamics.
+    \n*   **Folia:** Derived from *foliage* (leaves).\n*   **Arbor:** A classic word
+    for trees, giving the robot a sturdy, reliable feel.\n\n**Tech & Mechanical**\n*   **Green-Bot:**
+    Straightforward and classic.\n*   **Robo-Weed:** Great if the robot''s primary
+    job is pulling weeds.\n*   **Vine-O:** A pun on \"Dino,\" but referencing creeping
+    vines.\n*   **Mecha-Sprout:** For a slightly more heavy-duty gardening robot.\n*   **Terra-Droid:**
+    \"Terra\" meaning earth/soil, combined with a robotic suffix.\n*   **Root-Rover:**
+    Sounds like a rover exploring a garden planet.\n\n**Puns & Playful**\n*   **R2-Seed2:**
+    The ultimate Star Wars-inspired gardener pun.\n*   **Wall-Eed:** A play on Wall-E
+    and weed-pulling.\n*   **Optimus Rhizome:** A botanical take on Optimus Prime
+    (rhizomes are underground plant stems).\n*   **Trowel-Tron:** A classic robot
+    name merged with a gardening tool.\n*   **Mulch-O:** Sounds like a friendly, mud-loving
+    robot.\n\n**How to choose the best one:**\n*   If it''s a **small indoor robot**
+    that potted plants, go with something cute like *Sprout* or *Bud*.\n*   If it''s
+    a **large outdoor farming robot**, go with something stronger like *Terra-Droid*
+    or *Arbor*.\n*   If it''s a **smart, app-controlled robot**, a sleek name like
+    *Florigen* or *Folia* works beautifully.","annotations":[]}],"status":"completed"}}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":213,"response":{"id":"resp_01a1a9c7-9d8b-7310-83e0-42b18fbda1f0","object":"response","created_at":1793849793,"completed_at":1793849796,"background":false,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[{"id":"msg_01a1a9c79dda7060afc2980080dc45ba","type":"message","role":"assistant","content":[{"type":"output_text","text":"Here
+    are several name suggestions for a robot gardener, broken down by the \"vibe\"
+    you might be going for:\n\n**Cute & Friendly**\n*   **Sprout:** Simple, friendly,
+    and perfect for a robot that helps things grow.\n*   **Bloomie:** Sounds like
+    a helpful, happy little companion.\n*   **Petal:** Gentle and sweet, great for
+    a robot that tends to flowers.\n*   **Leafy:** A playful, approachable name. \n*   **Dandy:**
+    Inspired by the dandelion, giving it a whimsical feel.\n*   **Bud:** Short, classic,
+    and implies a growing friendship.\n\n**Botanical & Scientific**\n*   **Chloris:**
+    Named after the Greek goddess of flowers (also where the word chlorophyll comes
+    from).\n*   **Florigen:** Named after the hormone in plants that tells them to
+    flower. Sounds very high-tech.\n*   **Aero:** A nod to aeroponics and aerodynamics.
+    \n*   **Folia:** Derived from *foliage* (leaves).\n*   **Arbor:** A classic word
+    for trees, giving the robot a sturdy, reliable feel.\n\n**Tech & Mechanical**\n*   **Green-Bot:**
+    Straightforward and classic.\n*   **Robo-Weed:** Great if the robot''s primary
+    job is pulling weeds.\n*   **Vine-O:** A pun on \"Dino,\" but referencing creeping
+    vines.\n*   **Mecha-Sprout:** For a slightly more heavy-duty gardening robot.\n*   **Terra-Droid:**
+    \"Terra\" meaning earth/soil, combined with a robotic suffix.\n*   **Root-Rover:**
+    Sounds like a rover exploring a garden planet.\n\n**Puns & Playful**\n*   **R2-Seed2:**
+    The ultimate Star Wars-inspired gardener pun.\n*   **Wall-Eed:** A play on Wall-E
+    and weed-pulling.\n*   **Optimus Rhizome:** A botanical take on Optimus Prime
+    (rhizomes are underground plant stems).\n*   **Trowel-Tron:** A classic robot
+    name merged with a gardening tool.\n*   **Mulch-O:** Sounds like a friendly, mud-loving
+    robot.\n\n**How to choose the best one:**\n*   If it''s a **small indoor robot**
+    that potted plants, go with something cute like *Sprout* or *Bud*.\n*   If it''s
+    a **large outdoor farming robot**, go with something stronger like *Terra-Droid*
+    or *Arbor*.\n*   If it''s a **smart, app-controlled robot**, a sleek name like
+    *Florigen* or *Folia* works beautifully.","annotations":[]}],"status":"completed"}],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":16,"output_tokens":561,"total_tokens":577,"input_tokens_details":{"cached_tokens":0,"cache_write_tokens":0},"output_tokens_details":{"reasoning_tokens":0}},"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: response.completed
+timestamp: '2026-11-05T03:36:13.675202+00:00'
+upstream_url: https://api.together.ai/v1/responses
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-responses-stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-stream-01.yaml
new file mode 100644
index 0000000..2b27e45
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-responses-stream-01.yaml
@@ -0,0 +1,2204 @@
+filename: 2026-11-05-01a1a9c8-4533-7840-939d-ce49666302b3
+request:
+  body:
+    input:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: input_text
+      role: user
+    - content:
+      - annotations: []
+        text: "Here are several name suggestions for a robot gardener, broken down\
+          \ by the \"vibe\" you might be going for:\n\n**Cute & Friendly**\n*   **Sprout:**\
+          \ Simple, friendly, and perfect for a robot that helps things grow.\n* \
+          \  **Bloomie:** Sounds like a helpful, happy little companion.\n*   **Petal:**\
+          \ Gentle and sweet, great for a robot that tends to flowers.\n*   **Leafy:**\
+          \ A playful, approachable name. \n*   **Dandy:** Inspired by the dandelion,\
+          \ giving it a whimsical feel.\n*   **Bud:** Short, classic, and implies\
+          \ a growing friendship.\n\n**Botanical & Scientific**\n*   **Chloris:**\
+          \ Named after the Greek goddess of flowers (also where the word chlorophyll\
+          \ comes from).\n*   **Florigen:** Named after the hormone in plants that\
+          \ tells them to flower. Sounds very high-tech.\n*   **Aero:** A nod to aeroponics\
+          \ and aerodynamics. \n*   **Folia:** Derived from *foliage* (leaves).\n\
+          *   **Arbor:** A classic word for trees, giving the robot a sturdy, reliable\
+          \ feel.\n\n**Tech & Mechanical**\n*   **Green-Bot:** Straightforward and\
+          \ classic.\n*   **Robo-Weed:** Great if the robot's primary job is pulling\
+          \ weeds.\n*   **Vine-O:** A pun on \"Dino,\" but referencing creeping vines.\n\
+          *   **Mecha-Sprout:** For a slightly more heavy-duty gardening robot.\n\
+          *   **Terra-Droid:** \"Terra\" meaning earth/soil, combined with a robotic\
+          \ suffix.\n*   **Root-Rover:** Sounds like a rover exploring a garden planet.\n\
+          \n**Puns & Playful**\n*   **R2-Seed2:** The ultimate Star Wars-inspired\
+          \ gardener pun.\n*   **Wall-Eed:** A play on Wall-E and weed-pulling.\n\
+          *   **Optimus Rhizome:** A botanical take on Optimus Prime (rhizomes are\
+          \ underground plant stems).\n*   **Trowel-Tron:** A classic robot name merged\
+          \ with a gardening tool.\n*   **Mulch-O:** Sounds like a friendly, mud-loving\
+          \ robot.\n\n**How to choose the best one:**\n*   If it's a **small indoor\
+          \ robot** that potted plants, go with something cute like *Sprout* or *Bud*.\n\
+          *   If it's a **large outdoor farming robot**, go with something stronger\
+          \ like *Terra-Droid* or *Arbor*.\n*   If it's a **smart, app-controlled\
+          \ robot**, a sleek name like *Florigen* or *Folia* works beautifully."
+        type: output_text
+      id: msg_01a1a9c79dda7060afc2980080dc45ba
+      role: assistant
+      status: completed
+      type: message
+    - content:
+      - text: Explain why that name fits.
+        type: input_text
+      role: user
+    max_output_tokens: 1024
+    model: zai-org/GLM-5.2
+    reasoning:
+      effort: minimal
+    store: false
+    stream: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2594'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/responses
+  query_params: {}
+request_id: 01a1a9c8-4533-7840-939d-ce49666302b3
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 4088251b-aws_as1
+  sse:
+  - 'event: response.created
+
+    '
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+
+    '
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+
+    '
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+
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+
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+    '
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+    '
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+    with. Secondly","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":175,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":",
+    swapping","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":176,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    \"D","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":177,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"2\"
+    for","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":178,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    \"Seed2\" explicitly","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":179,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    states","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":180,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    the","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":181,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    robot''s function. The","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":182,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    name itself","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":183,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    becomes","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":184,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    a conversation","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":185,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    starter and","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":186,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    instantly","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":187,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    brings","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":188,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    a smile to the user","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":189,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"''s
+    face,","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":190,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    which","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":191,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    is","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":192,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    exactly the","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":193,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    kind of emotional","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":194,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    connection","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":195,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    you","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":196,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    want a","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":197,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    household","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":198,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"delta":"
+    robot to have.","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":199,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"text":"Because
+    I gave you a list of several names, I will pick the standout favorite from each
+    category and explain exactly why it makes a perfect fit for a robot gardener.
+    \n\nHere is why those specific names work so well:\n\n**1. Sprout (The Cute &
+    Friendly Option)**\n*   **Why it fits:** The word \"sprout\" represents the very
+    beginning of a plant''s life—the moment a seed pushes through the soil. This makes
+    it the perfect name for a robot whose entire purpose is to nurture and protect
+    young, growing plants. Furthermore, the word has a naturally friendly, soft, and
+    approachable sound. If the robot is meant to be a household companion that people
+    interact with daily (like a Roomba), \"Sprout\" makes it feel less like a cold
+    machine and more like a helpful little pet. \n\n**2. Florigen (The Scientific
+    & Sleek Option)**\n*   **Why it fits:** Florigen is the real-life name of the
+    protein hormone in plants that triggers them to bloom and flower. By naming a
+    robot Florigen, you are implying that the machine is the *mechanical equivalent*
+    of that hormone—it is the catalyst that makes the garden thrive. It sounds incredibly
+    high-tech, precise, and smart. This name is a perfect fit for a highly advanced,
+    app-controlled robot that uses sensors to monitor soil moisture, pH, and light
+    levels. \n\n**3. Terra-Droid (The Heavy-Duty/Outdoor Option)**\n*   **Why it fits:**
+    \"Terra\" is Latin for earth or soil, and \"Droid\" immediately communicates that
+    this is an autonomous machine. Put together, it literally translates to \"Earth
+    Robot.\" This name fits a larger, more rugged robot perfectly—something that roams
+    outdoor garden beds, tills soil, or pulls heavy weeds. It has a sturdy, industrial
+    ring to it, letting the user know that this robot can handle the dirty, heavy
+    lifting of outdoor gardening.\n\n**4. R2-Seed2 (The Playful/Pun Option)**\n*   **Why
+    it fits:** This name works on two levels. First, the phonetic similarity to Star
+    Wars'' R2-D2 instantly gives the robot a lovable, beeping, helpful personality
+    that pop-culture fans will immediately connect with. Secondly, swapping \"D2\"
+    for \"Seed2\" explicitly states the robot''s function. The name itself becomes
+    a conversation starter and instantly brings a smile to the user''s face, which
+    is exactly the kind of emotional connection you want a household robot to have.","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":200,"output_index":0,"item_id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","content_index":0,"part":{"type":"output_text","text":"Because
+    I gave you a list of several names, I will pick the standout favorite from each
+    category and explain exactly why it makes a perfect fit for a robot gardener.
+    \n\nHere is why those specific names work so well:\n\n**1. Sprout (The Cute &
+    Friendly Option)**\n*   **Why it fits:** The word \"sprout\" represents the very
+    beginning of a plant''s life—the moment a seed pushes through the soil. This makes
+    it the perfect name for a robot whose entire purpose is to nurture and protect
+    young, growing plants. Furthermore, the word has a naturally friendly, soft, and
+    approachable sound. If the robot is meant to be a household companion that people
+    interact with daily (like a Roomba), \"Sprout\" makes it feel less like a cold
+    machine and more like a helpful little pet. \n\n**2. Florigen (The Scientific
+    & Sleek Option)**\n*   **Why it fits:** Florigen is the real-life name of the
+    protein hormone in plants that triggers them to bloom and flower. By naming a
+    robot Florigen, you are implying that the machine is the *mechanical equivalent*
+    of that hormone—it is the catalyst that makes the garden thrive. It sounds incredibly
+    high-tech, precise, and smart. This name is a perfect fit for a highly advanced,
+    app-controlled robot that uses sensors to monitor soil moisture, pH, and light
+    levels. \n\n**3. Terra-Droid (The Heavy-Duty/Outdoor Option)**\n*   **Why it fits:**
+    \"Terra\" is Latin for earth or soil, and \"Droid\" immediately communicates that
+    this is an autonomous machine. Put together, it literally translates to \"Earth
+    Robot.\" This name fits a larger, more rugged robot perfectly—something that roams
+    outdoor garden beds, tills soil, or pulls heavy weeds. It has a sturdy, industrial
+    ring to it, letting the user know that this robot can handle the dirty, heavy
+    lifting of outdoor gardening.\n\n**4. R2-Seed2 (The Playful/Pun Option)**\n*   **Why
+    it fits:** This name works on two levels. First, the phonetic similarity to Star
+    Wars'' R2-D2 instantly gives the robot a lovable, beeping, helpful personality
+    that pop-culture fans will immediately connect with. Secondly, swapping \"D2\"
+    for \"Seed2\" explicitly states the robot''s function. The name itself becomes
+    a conversation starter and instantly brings a smile to the user''s face, which
+    is exactly the kind of emotional connection you want a household robot to have.","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":201,"output_index":0,"item":{"id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","type":"message","role":"assistant","content":[{"type":"output_text","text":"Because
+    I gave you a list of several names, I will pick the standout favorite from each
+    category and explain exactly why it makes a perfect fit for a robot gardener.
+    \n\nHere is why those specific names work so well:\n\n**1. Sprout (The Cute &
+    Friendly Option)**\n*   **Why it fits:** The word \"sprout\" represents the very
+    beginning of a plant''s life—the moment a seed pushes through the soil. This makes
+    it the perfect name for a robot whose entire purpose is to nurture and protect
+    young, growing plants. Furthermore, the word has a naturally friendly, soft, and
+    approachable sound. If the robot is meant to be a household companion that people
+    interact with daily (like a Roomba), \"Sprout\" makes it feel less like a cold
+    machine and more like a helpful little pet. \n\n**2. Florigen (The Scientific
+    & Sleek Option)**\n*   **Why it fits:** Florigen is the real-life name of the
+    protein hormone in plants that triggers them to bloom and flower. By naming a
+    robot Florigen, you are implying that the machine is the *mechanical equivalent*
+    of that hormone—it is the catalyst that makes the garden thrive. It sounds incredibly
+    high-tech, precise, and smart. This name is a perfect fit for a highly advanced,
+    app-controlled robot that uses sensors to monitor soil moisture, pH, and light
+    levels. \n\n**3. Terra-Droid (The Heavy-Duty/Outdoor Option)**\n*   **Why it fits:**
+    \"Terra\" is Latin for earth or soil, and \"Droid\" immediately communicates that
+    this is an autonomous machine. Put together, it literally translates to \"Earth
+    Robot.\" This name fits a larger, more rugged robot perfectly—something that roams
+    outdoor garden beds, tills soil, or pulls heavy weeds. It has a sturdy, industrial
+    ring to it, letting the user know that this robot can handle the dirty, heavy
+    lifting of outdoor gardening.\n\n**4. R2-Seed2 (The Playful/Pun Option)**\n*   **Why
+    it fits:** This name works on two levels. First, the phonetic similarity to Star
+    Wars'' R2-D2 instantly gives the robot a lovable, beeping, helpful personality
+    that pop-culture fans will immediately connect with. Secondly, swapping \"D2\"
+    for \"Seed2\" explicitly states the robot''s function. The name itself becomes
+    a conversation starter and instantly brings a smile to the user''s face, which
+    is exactly the kind of emotional connection you want a household robot to have.","annotations":[]}],"status":"completed"}}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":202,"response":{"id":"resp_01a1a9c8-ca9a-7ec1-8b54-9377a627ea3f","object":"response","created_at":1793849871,"completed_at":1793849873,"background":false,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[{"id":"msg_01a1a9c8cafb75e3aaf690ee57e0fd00","type":"message","role":"assistant","content":[{"type":"output_text","text":"Because
+    I gave you a list of several names, I will pick the standout favorite from each
+    category and explain exactly why it makes a perfect fit for a robot gardener.
+    \n\nHere is why those specific names work so well:\n\n**1. Sprout (The Cute &
+    Friendly Option)**\n*   **Why it fits:** The word \"sprout\" represents the very
+    beginning of a plant''s life—the moment a seed pushes through the soil. This makes
+    it the perfect name for a robot whose entire purpose is to nurture and protect
+    young, growing plants. Furthermore, the word has a naturally friendly, soft, and
+    approachable sound. If the robot is meant to be a household companion that people
+    interact with daily (like a Roomba), \"Sprout\" makes it feel less like a cold
+    machine and more like a helpful little pet. \n\n**2. Florigen (The Scientific
+    & Sleek Option)**\n*   **Why it fits:** Florigen is the real-life name of the
+    protein hormone in plants that triggers them to bloom and flower. By naming a
+    robot Florigen, you are implying that the machine is the *mechanical equivalent*
+    of that hormone—it is the catalyst that makes the garden thrive. It sounds incredibly
+    high-tech, precise, and smart. This name is a perfect fit for a highly advanced,
+    app-controlled robot that uses sensors to monitor soil moisture, pH, and light
+    levels. \n\n**3. Terra-Droid (The Heavy-Duty/Outdoor Option)**\n*   **Why it fits:**
+    \"Terra\" is Latin for earth or soil, and \"Droid\" immediately communicates that
+    this is an autonomous machine. Put together, it literally translates to \"Earth
+    Robot.\" This name fits a larger, more rugged robot perfectly—something that roams
+    outdoor garden beds, tills soil, or pulls heavy weeds. It has a sturdy, industrial
+    ring to it, letting the user know that this robot can handle the dirty, heavy
+    lifting of outdoor gardening.\n\n**4. R2-Seed2 (The Playful/Pun Option)**\n*   **Why
+    it fits:** This name works on two levels. First, the phonetic similarity to Star
+    Wars'' R2-D2 instantly gives the robot a lovable, beeping, helpful personality
+    that pop-culture fans will immediately connect with. Secondly, swapping \"D2\"
+    for \"Seed2\" explicitly states the robot''s function. The name itself becomes
+    a conversation starter and instantly brings a smile to the user''s face, which
+    is exactly the kind of emotional connection you want a household robot to have.","annotations":[]}],"status":"completed"}],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":587,"output_tokens":525,"total_tokens":1112,"input_tokens_details":{"cached_tokens":0,"cache_write_tokens":0},"output_tokens_details":{"reasoning_tokens":0}},"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: response.completed
+timestamp: '2026-11-05T03:37:16.851861+00:00'
+upstream_url: https://api.together.ai/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-none/2026-11-04-01a1a479-3920-75e2-8891-7d59ab220d38.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-responses-non_stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-none/2026-11-04-01a1a479-3920-75e2-8891-7d59ab220d38.yaml
rename to tests/cassettes/upstream_ir/tool_use/fireworks-responses-non_stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-none/2026-11-04-01a1a479-3ca7-7e32-84aa-5ca8ec32ac30.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-responses-non_stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-none/2026-11-04-01a1a479-3ca7-7e32-84aa-5ca8ec32ac30.yaml
rename to tests/cassettes/upstream_ir/tool_use/fireworks-responses-non_stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-none/2026-11-04-01a1a479-3f9b-7632-be50-6f95cb0f280b.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-responses-non_stream-02.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-nonstream-none/2026-11-04-01a1a479-3f9b-7632-be50-6f95cb0f280b.yaml
rename to tests/cassettes/upstream_ir/tool_use/fireworks-responses-non_stream-02.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-4d46-7d13-b5b1-7a82e46888a3.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-responses-stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-4d46-7d13-b5b1-7a82e46888a3.yaml
rename to tests/cassettes/upstream_ir/tool_use/fireworks-responses-stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-53a6-7053-adfb-bf546bf0e004.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-responses-stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-53a6-7053-adfb-bf546bf0e004.yaml
rename to tests/cassettes/upstream_ir/tool_use/fireworks-responses-stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-responses-stream-02.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-none/2026-11-04-01a1a479-5646-7cf0-8750-549f9e33ed1e.yaml
rename to tests/cassettes/upstream_ir/tool_use/fireworks-responses-stream-02.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c140-7c31-aaf2-46a14bcfd428.yaml b/tests/cassettes/upstream_ir/tool_use/openrouter-responses-non_stream-00.yaml
similarity index 100%
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rename to tests/cassettes/upstream_ir/tool_use/openrouter-responses-non_stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c48d-7883-9d54-8123763449aa.yaml b/tests/cassettes/upstream_ir/tool_use/openrouter-responses-non_stream-01.yaml
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rename to tests/cassettes/upstream_ir/tool_use/openrouter-responses-non_stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-nonstream-none/2026-11-04-01a1a489-c7b3-7de1-8fdf-32558b93a45f.yaml b/tests/cassettes/upstream_ir/tool_use/openrouter-responses-non_stream-02.yaml
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rename to tests/cassettes/upstream_ir/tool_use/openrouter-responses-non_stream-02.yaml
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index 0000000..45da18a
--- /dev/null
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diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-responses-non_stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-responses-non_stream-01.yaml
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diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-responses-non_stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-responses-non_stream-02.yaml
new file mode 100644
index 0000000..5d5747c
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-responses-non_stream-02.yaml
@@ -0,0 +1,176 @@
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new file mode 100644
index 0000000..44220eb
--- /dev/null
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index 0000000..180eb24
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-responses-stream-01.yaml
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+filename: 2026-11-05-01a1a9ca-aaec-79e1-a783-95edfae820f4
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diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-responses-stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-responses-stream-02.yaml
new file mode 100644
index 0000000..b887c76
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-responses-stream-02.yaml
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+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: c543e33a-aws_as1
+  sse:
+  - 'event: response.created
+
+    '
+  - 'data: {"type":"response.created","sequence_number":0,"response":{"id":"resp_01a1a9ca-dcd8-7c12-bfc3-273bfc7add97","object":"response","created_at":1793850006,"completed_at":null,"background":false,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[],"parallel_tool_calls":false,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"type":"function","name":"read_file","description":"Read
+    a file by its path.","parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false}],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: response.in_progress
+
+    '
+  - 'data: {"type":"response.in_progress","sequence_number":1,"response":{"id":"resp_01a1a9ca-dcd8-7c12-bfc3-273bfc7add97","object":"response","created_at":1793850006,"completed_at":null,"background":false,"status":"in_progress","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[],"parallel_tool_calls":false,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"type":"function","name":"read_file","description":"Read
+    a file by its path.","parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false}],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.added
+
+    '
+  - 'data: {"type":"response.output_item.added","sequence_number":2,"output_index":0,"item":{"id":"msg_01a1a9cadcd87c12bfc327544be648e5","type":"message","role":"assistant","status":"in_progress","content":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.added
+
+    '
+  - 'data: {"type":"response.content_part.added","sequence_number":3,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":4,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"delta":"The","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":5,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"delta":"
+    file instruct","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":6,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"delta":"s
+    to water the tomatoes every","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":7,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"delta":"
+    morning and harvest the","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.delta
+
+    '
+  - 'data: {"type":"response.output_text.delta","sequence_number":8,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"delta":"
+    ripe fruit.","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_text.done
+
+    '
+  - 'data: {"type":"response.output_text.done","sequence_number":9,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"text":"The
+    file instructs to water the tomatoes every morning and harvest the ripe fruit.","logprobs":[]}
+
+    '
+  - '
+
+    '
+  - 'event: response.content_part.done
+
+    '
+  - 'data: {"type":"response.content_part.done","sequence_number":10,"output_index":0,"item_id":"msg_01a1a9cadcd87c12bfc327544be648e5","content_index":0,"part":{"type":"output_text","text":"The
+    file instructs to water the tomatoes every morning and harvest the ripe fruit.","annotations":[]}}
+
+    '
+  - '
+
+    '
+  - 'event: response.output_item.done
+
+    '
+  - 'data: {"type":"response.output_item.done","sequence_number":11,"output_index":0,"item":{"id":"msg_01a1a9cadcd87c12bfc327544be648e5","type":"message","role":"assistant","content":[{"type":"output_text","text":"The
+    file instructs to water the tomatoes every morning and harvest the ripe fruit.","annotations":[]}],"status":"completed"}}
+
+    '
+  - '
+
+    '
+  - 'event: response.completed
+
+    '
+  - 'data: {"type":"response.completed","sequence_number":12,"response":{"id":"resp_01a1a9ca-dcd8-7c12-bfc3-273bfc7add97","object":"response","created_at":1793850006,"completed_at":1793850006,"background":false,"status":"completed","error":null,"incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"model":"zai-org/GLM-5.2","output":[{"id":"msg_01a1a9cadcd87c12bfc327544be648e5","type":"message","role":"assistant","content":[{"type":"output_text","text":"The
+    file instructs to water the tomatoes every morning and harvest the ripe fruit.","annotations":[]}],"status":"completed"}],"parallel_tool_calls":false,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"minimal","summary":null},"service_tier":"default","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"type":"function","name":"read_file","description":"Read
+    a file by its path.","parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false}],"top_logprobs":0,"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":232,"output_tokens":17,"total_tokens":249,"input_tokens_details":{"cached_tokens":192,"cache_write_tokens":0},"output_tokens_details":{"reasoning_tokens":0}},"user":null,"safety_identifier":null,"frequency_penalty":0.0,"presence_penalty":0.0,"metadata":{}}}
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: response.completed
+timestamp: '2026-11-05T03:40:06.394430+00:00'
+upstream_url: https://api.together.ai/v1/responses
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-none/2026-11-04-01a1a479-66a6-7e01-bebc-bc8af91a976e.yaml b/tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-non_stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-none/2026-11-04-01a1a479-66a6-7e01-bebc-bc8af91a976e.yaml
rename to tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-non_stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-none/2026-11-04-01a1a479-6e72-7951-91b7-8eb3882713c0.yaml b/tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-non_stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-nonstream-none/2026-11-04-01a1a479-6e72-7951-91b7-8eb3882713c0.yaml
rename to tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-non_stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-7e00-7951-98ee-32573dd402c6.yaml b/tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-7e00-7951-98ee-32573dd402c6.yaml
rename to tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml b/tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-parallel-stream-none/2026-11-04-01a1a479-864a-7303-8f1f-f695dfba9a34.yaml
rename to tests/cassettes/upstream_ir/tool_use_parallel/fireworks-responses-stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-780c-7f62-8647-e0bd1492ca07.yaml b/tests/cassettes/upstream_ir/tool_use_reasoning/fireworks-responses-stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-780c-7f62-8647-e0bd1492ca07.yaml
rename to tests/cassettes/upstream_ir/tool_use_reasoning/fireworks-responses-stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8072-7743-8410-673ee5c6e5a1.yaml b/tests/cassettes/upstream_ir/tool_use_reasoning/fireworks-responses-stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8072-7743-8410-673ee5c6e5a1.yaml
rename to tests/cassettes/upstream_ir/tool_use_reasoning/fireworks-responses-stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8380-79d3-875c-94f46a493788.yaml b/tests/cassettes/upstream_ir/tool_use_reasoning/fireworks-responses-stream-02.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/fireworks-responses-tools-stream-low/2026-11-04-01a1a47b-8380-79d3-875c-94f46a493788.yaml
rename to tests/cassettes/upstream_ir/tool_use_reasoning/fireworks-responses-stream-02.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml b/tests/cassettes/upstream_ir/tool_use_reasoning/openrouter-responses-stream-00.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-917a-7e93-9cdf-6c74f01838ab.yaml
rename to tests/cassettes/upstream_ir/tool_use_reasoning/openrouter-responses-stream-00.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml b/tests/cassettes/upstream_ir/tool_use_reasoning/openrouter-responses-stream-01.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-9df0-7980-a4b9-23bde9b054f7.yaml
rename to tests/cassettes/upstream_ir/tool_use_reasoning/openrouter-responses-stream-01.yaml
diff --git a/tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml b/tests/cassettes/upstream_ir/tool_use_reasoning/openrouter-responses-stream-02.yaml
similarity index 100%
rename from tests/cassettes/provider_recordings/2026-11-04/openrouter-responses-tools-stream-low/2026-11-04-01a1a48b-a0be-7993-81b5-557817530d8b.yaml
rename to tests/cassettes/upstream_ir/tool_use_reasoning/openrouter-responses-stream-02.yaml
diff --git a/tests/core/history_helpers.py b/tests/core/history_helpers.py
deleted file mode 100644
index bcb1371..0000000
--- a/tests/core/history_helpers.py
+++ /dev/null
@@ -1,173 +0,0 @@
-"""Collect public SDK output and compare conversation history without Molto translation."""
-
-from __future__ import annotations
-
-from copy import deepcopy
-from typing import TYPE_CHECKING, Any
-
-from anthropic.lib.streaming._messages import accumulate_event
-from openai.lib.streaming.chat import ChatCompletionStreamState
-from pydantic import BaseModel
-
-if TYPE_CHECKING:
-    from molto.providers import Endpoint as Protocol
-
-
-def _collect_response(events: list[BaseModel], protocol: Protocol) -> BaseModel:
-    """Accumulate downstream output using SDK behavior independently of Molto collectors."""
-    if protocol == "chat/completions":
-        state = ChatCompletionStreamState()
-        for event in events:
-            state.handle_chunk(event)
-        return state.get_final_completion()
-    if protocol == "messages":
-        message = None
-        for event in events:
-            message = accumulate_event(event=event, current_snapshot=message)
-        assert message is not None and events[-1].type == "message_stop"
-        return message
-    terminal = [
-        event.response
-        for event in events
-        if event.type in {"response.completed", "response.incomplete"}
-    ]
-    assert len(terminal) == 1
-    return terminal[0]
-
-
-def _response_history(response: BaseModel, protocol: Protocol) -> list[dict[str, Any]]:
-    """Convert a public response into request history, removing SDK-only bookkeeping."""
-    if protocol == "responses":
-        return [item.model_dump(exclude_none=True) for item in response.output]
-    if protocol == "chat/completions":
-        assert len(response.choices) == 1
-        message = response.choices[0].message.model_dump(
-            exclude_none=True, exclude={"tool_calls": {"__all__": {"index"}}}
-        )
-        # Chat annotations are output-only; an empty list carries no history state.
-        # Keep populated annotations so unsupported history fails instead of losing data.
-        if message.get("annotations") == []:
-            message.pop("annotations")
-        return [message]
-    return [
-        {
-            "role": response.role,
-            "content": [
-                # The SDK stores its incremental JSON parser buffer on tool blocks.
-                block.model_dump(exclude_none=True, exclude={"__json_buf", "parsed_output"})
-                for block in response.content
-            ],
-        }
-    ]
-
-
-def _assert_history_matches(
-    actual: list[dict[str, Any]],
-    expected: list[dict[str, Any]],
-    protocol: Protocol,
-    *,
-    translated: bool = False,
-) -> None:
-    """Compare copies using only protocol representation and unavailable metadata allowances."""
-    actual, expected = deepcopy(actual), deepcopy(expected)
-    assert len(actual) == len(expected)
-    for left, right in zip(actual, expected, strict=True):
-        if protocol == "responses":
-            for item in (left, right):
-                if item.get("role") == "assistant":
-                    item.setdefault("type", "message")
-                    if isinstance(item.get("content"), str):
-                        item["content"] = [{"type": "output_text", "text": item["content"]}]
-                for part in item.get("content") or []:
-                    if isinstance(part, dict) and part.get("type") == "output_text":
-                        for field in ("annotations", "logprobs"):
-                            if part.get(field) == []:
-                                part.pop(field)
-                if item.get("type") == "reasoning" and item.get("content") == []:
-                    item.pop("content")
-            output_items = all(
-                item.get("type") in {"reasoning", "function_call"}
-                or (item.get("type") == "message" and item.get("role") == "assistant")
-                for item in (left, right)
-            )
-            # Only output-item IDs may be generated at a translated protocol boundary.
-            if output_items and (translated or "id" not in left or "id" not in right):
-                left.pop("id", None)
-                right.pop("id", None)
-            # Phase has no Chat/Messages equivalent, but populated values must still agree.
-            if output_items and ("phase" not in left or "phase" not in right):
-                left.pop("phase", None)
-                right.pop("phase", None)
-            if "status" not in left or "status" not in right:
-                for item in (left, right):
-                    if item.get("status") == "completed":
-                        item.pop("status")
-        elif protocol == "chat/completions":
-            for item in (left, right):
-                if "reasoning" in item and "reasoning_content" not in item:
-                    item["reasoning_content"] = item.pop("reasoning")
-                if item.get("tool_calls") and item.get("content") in (None, ""):
-                    item.pop("content", None)
-                if item.get("tool_calls") == []:
-                    item.pop("tool_calls")
-        else:
-            for item in (left, right):
-                if isinstance(item.get("content"), str):
-                    item["content"] = [{"type": "text", "text": item["content"]}]
-                for block in item.get("content") or []:
-                    if block.get("type") == "tool_use" and block.get("caller") == {
-                        "type": "direct"
-                    }:
-                        block.pop("caller")
-                    if block.get("type") == "thinking" and block.get("signature") == "":
-                        block.pop("signature")
-        assert left == right
-
-
-def _continue_history(
-    history: list[dict[str, Any]],
-    output_history: list[dict[str, Any]],
-    next_recorded_history: list[dict[str, Any]],
-    protocol: Protocol,
-    *,
-    translated: bool = False,
-) -> list[dict[str, Any]]:
-    """Retain actual output and append only new caller inputs after checking the next YAML."""
-    retained = [*history, *output_history]
-    _assert_history_matches(
-        retained,
-        next_recorded_history[: len(retained)],
-        protocol,
-        translated=translated,
-    )
-    continuation = deepcopy(next_recorded_history[len(retained) :])
-    assert continuation, "The next conversation turn must contain new caller input."
-    if protocol == "responses":
-        assert all(
-            item.get("type") == "function_call_output" or item.get("role") == "user"
-            for item in continuation
-        )
-        calls = [item["call_id"] for item in output_history if item["type"] == "function_call"]
-        results = [
-            item["call_id"] for item in continuation if item.get("type") == "function_call_output"
-        ]
-    elif protocol == "chat/completions":
-        assert all(item["role"] in {"tool", "user"} for item in continuation)
-        calls = [call["id"] for item in output_history for call in item.get("tool_calls", [])]
-        results = [item["tool_call_id"] for item in continuation if item["role"] == "tool"]
-    else:
-        assert all(item["role"] == "user" for item in continuation)
-        calls = [
-            block["id"]
-            for item in output_history
-            for block in item["content"]
-            if block["type"] == "tool_use"
-        ]
-        results = [
-            block["tool_use_id"]
-            for item in continuation
-            for block in item["content"]
-            if isinstance(block, dict) and block["type"] == "tool_result"
-        ]
-    assert results == calls
-    return [*retained, *continuation]
diff --git a/tests/core/test_fireworks_conversations.py b/tests/core/test_fireworks_conversations.py
deleted file mode 100644
index 272d8e3..0000000
--- a/tests/core/test_fireworks_conversations.py
+++ /dev/null
@@ -1,41 +0,0 @@
-"""Replay independently recorded Fireworks protocol conversations and translated output."""
-
-import json
-from pathlib import Path
-
-import pytest
-
-from tests.core.test_recorded_provider_conversations import (
-    replay_conversation,
-    replay_translated_first_turn,
-)
-
-ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
-GROUPS = [
-    path.parent
-    for path in sorted(ROOT.glob("fireworks-*/manifest.json"))
-    if json.loads(path.read_text())["status"] == "complete"
-]
-
-
-@pytest.mark.parametrize("group", GROUPS, ids=lambda path: path.name)
-async def test_fireworks_native_conversation_sdk_parity(group):
-    """Ensures native Fireworks output and actual subsequent history match independent SDK replay."""
-    manifest = json.loads((group / "manifest.json").read_text())
-    await replay_conversation(group, protocol=manifest["upstream_protocol"])
-
-
-@pytest.mark.parametrize(
-    ("group", "downstream"),
-    [
-        pytest.param(group, downstream, id=f"{group.name}-{downstream}")
-        for group in GROUPS
-        if json.loads((group / "manifest.json").read_text())["stream"]
-        for downstream in ("chat/completions", "responses", "messages")
-        if downstream != json.loads((group / "manifest.json").read_text())["upstream_protocol"]
-    ],
-)
-@pytest.mark.parametrize("stream", [False, True])
-async def test_fireworks_translated_first_turn_sdk_semantics(group, downstream, stream):
-    """Ensures recorded first-turn content, calls, usage and lifecycle survive public translation."""
-    await replay_translated_first_turn(group, downstream, stream)
diff --git a/tests/core/test_history_helpers.py b/tests/core/test_history_helpers.py
deleted file mode 100644
index a205896..0000000
--- a/tests/core/test_history_helpers.py
+++ /dev/null
@@ -1,248 +0,0 @@
-from copy import deepcopy
-from typing import Any
-
-import pytest
-from openai.types.chat import ChatCompletion
-
-from tests.core.history_helpers import (
-    _assert_history_matches,
-    _continue_history,
-    _response_history,
-)
-from tests.core.test_interface import PROTOCOLS, Protocol
-
-
-def test_chat_empty_calls_match_omission_without_mutating_history():
-    """Ensures Together's empty call list stays in submitted history while matching omitted calls."""
-    actual = [{"role": "assistant", "content": "Hello", "tool_calls": []}]
-    expected = [{"role": "assistant", "content": "Hello"}]
-    _assert_history_matches(actual, expected, "chat/completions")
-    assert actual == [{**expected[0], "tool_calls": []}]
-
-
-def _assistant_history(protocol: Protocol) -> list[dict[str, Any]]:
-    if protocol == "responses":
-        return [
-            {
-                "type": "reasoning",
-                "content": [{"type": "reasoning_text", "text": "Thinking."}],
-                "summary": [],
-                "encrypted_content": "opaque-signature",
-            },
-            {
-                "type": "message",
-                "role": "assistant",
-                "content": [
-                    {"type": "output_text", "text": "First."},
-                    {"type": "output_text", "text": "Second."},
-                ],
-            },
-            *[
-                {"type": "function_call", "call_id": call_id, "name": "lookup", "arguments": "{}"}
-                for call_id in ("call_a", "call_b")
-            ],
-        ]
-    if protocol == "chat/completions":
-        return [
-            {
-                "role": "assistant",
-                "reasoning_content": "Thinking.",
-                "content": "First. Second.",
-                "tool_calls": [
-                    {
-                        "type": "function",
-                        "id": call_id,
-                        "function": {"name": "lookup", "arguments": "{}"},
-                    }
-                    for call_id in ("call_a", "call_b")
-                ],
-            }
-        ]
-    return [
-        {
-            "role": "assistant",
-            "content": [
-                {"type": "thinking", "thinking": "Thinking.", "signature": "opaque-signature"},
-                {"type": "text", "text": "First."},
-                {"type": "text", "text": "Second."},
-                *[
-                    {"type": "tool_use", "id": call_id, "name": "lookup", "input": {}}
-                    for call_id in ("call_a", "call_b")
-                ],
-            ],
-        }
-    ]
-
-
-@pytest.mark.parametrize(
-    ("protocol", "path", "replacement"),
-    [
-        ("responses", (0, "content", 0, "text"), "Changed thinking."),
-        ("responses", (0, "encrypted_content"), "changed-signature"),
-        ("responses", (1, "content", 0, "text"), "Changed text."),
-        ("responses", (1, "content", 0, "text"), "First. "),
-        ("responses", (1, "content"), [{"type": "output_text", "text": "First.Second."}]),
-        ("responses", (2, "call_id"), "different-call"),
-        ("responses", (2, "name"), "different-tool"),
-        ("responses", (2, "arguments"), '{"changed":true}'),
-        ("chat/completions", (0, "reasoning_content"), "Changed thinking."),
-        ("chat/completions", (0, "content"), "Changed text."),
-        ("chat/completions", (0, "content"), "First. Second. "),
-        ("chat/completions", (0, "tool_calls"), []),
-        ("chat/completions", (0, "tool_calls", 0, "id"), "different-call"),
-        ("chat/completions", (0, "tool_calls", 0, "function", "name"), "different-tool"),
-        ("chat/completions", (0, "tool_calls", 0, "function", "arguments"), '{"changed":true}'),
-        ("messages", (0, "content", 0, "thinking"), "Changed thinking."),
-        ("messages", (0, "content", 0, "signature"), "changed-signature"),
-        ("messages", (0, "content", 1, "text"), "Changed text."),
-        ("messages", (0, "content", 1, "text"), "First. "),
-        ("messages", (0, "content", 3, "id"), "different-call"),
-        ("messages", (0, "content", 3, "name"), "different-tool"),
-        ("messages", (0, "content", 3, "input"), {"changed": True}),
-    ],
-)
-def test_history_comparison_rejects_changed_semantics(
-    protocol: Protocol, path: tuple[str | int, ...], replacement: Any
-):
-    """Ensures metadata allowances never hide text, reasoning, calls, signatures, or part loss."""
-    expected = _assistant_history(protocol)
-    actual = deepcopy(expected)
-    target = actual
-    for field in path[:-1]:
-        target = target[field]
-    target[path[-1]] = replacement
-    with pytest.raises(AssertionError):
-        _assert_history_matches(actual, expected, protocol, translated=True)
-
-
-@pytest.mark.parametrize("protocol", PROTOCOLS)
-def test_history_comparison_preserves_call_order(protocol: Protocol):
-    """Ensures parallel calls cannot change order while matching next-turn history."""
-    expected = _assistant_history(protocol)
-    actual = deepcopy(expected)
-    if protocol == "responses":
-        actual[2:] = reversed(actual[2:])
-    elif protocol == "chat/completions":
-        actual[0]["tool_calls"].reverse()
-    else:
-        actual[0]["content"][3:] = reversed(actual[0]["content"][3:])
-    with pytest.raises(AssertionError):
-        _assert_history_matches(actual, expected, protocol, translated=True)
-
-
-@pytest.mark.parametrize(
-    ("role", "field", "translated"),
-    [("user", "id", True), ("assistant", "id", False), ("assistant", "phase", True)],
-)
-def test_history_comparison_preserves_available_metadata(role: str, field: str, translated: bool):
-    """Ensures only unavailable output IDs and omitted phase receive metadata allowances."""
-    expected = [{"type": "message", "role": role, "content": [], field: "recorded"}]
-    actual = [{**expected[0], field: "changed"}]
-    with pytest.raises(AssertionError):
-        _assert_history_matches(actual, expected, "responses", translated=translated)
-
-
-@pytest.mark.parametrize("protocol", PROTOCOLS)
-@pytest.mark.parametrize("corruption", ["wrong_id", "missing_result", "reordered", "assistant"])
-def test_continuation_rejects_invalid_new_input(protocol: Protocol, corruption: str):
-    """Ensures continuation cannot replace actual output or lose ordered tool-result linkage."""
-    output = _assistant_history(protocol)
-    if protocol == "responses":
-        results = [
-            {"type": "function_call_output", "call_id": call_id, "output": "done"}
-            for call_id in ("call_a", "call_b")
-        ]
-        id_field = "call_id"
-    elif protocol == "chat/completions":
-        results = [
-            {"role": "tool", "tool_call_id": call_id, "content": "done"}
-            for call_id in ("call_a", "call_b")
-        ]
-        id_field = "tool_call_id"
-    else:
-        results = [
-            {"type": "tool_result", "tool_use_id": call_id, "content": "done"}
-            for call_id in ("call_a", "call_b")
-        ]
-        id_field = "tool_use_id"
-    if corruption == "wrong_id":
-        results[0][id_field] = "different-call"
-    elif corruption == "missing_result":
-        results.pop()
-    elif corruption == "reordered":
-        results.reverse()
-    continuation = [{"role": "user", "content": results}] if protocol == "messages" else results
-    if corruption == "assistant":
-        continuation.append({"role": "assistant", "content": "Substituted output."})
-    with pytest.raises(AssertionError):
-        _continue_history([], output, [*deepcopy(output), *continuation], protocol)
-
-
-@pytest.mark.parametrize("protocol", PROTOCOLS)
-def test_history_comparison_keeps_actual_output_unchanged(protocol: Protocol):
-    """Ensures allowed comparison differences never rewrite the actual submitted history."""
-    if protocol == "responses":
-        actual = [{"type": "message", "role": "assistant", "content": "First.", "id": "generated"}]
-        expected = [{"role": "assistant", "content": "First.", "id": "recorded"}]
-    elif protocol == "chat/completions":
-        actual = [{"role": "assistant", "reasoning_content": "Thinking."}]
-        expected = [{"role": "assistant", "reasoning": "Thinking."}]
-    else:
-        actual = [
-            {
-                "role": "assistant",
-                "content": [{"type": "thinking", "thinking": "Thinking.", "signature": ""}],
-            }
-        ]
-        expected = [
-            {"role": "assistant", "content": [{"type": "thinking", "thinking": "Thinking."}]}
-        ]
-    original_actual, original_expected = deepcopy(actual), deepcopy(expected)
-    _assert_history_matches(actual, expected, protocol, translated=True)
-    assert actual == original_actual
-    assert expected == original_expected
-
-
-@pytest.mark.parametrize("populated", [False, True])
-def test_chat_history_omits_only_empty_output_annotations(populated: bool):
-    """Ensures empty SDK annotations are omitted while populated output cannot silently disappear."""
-    annotations = (
-        [
-            {
-                "type": "url_citation",
-                "url_citation": {
-                    "start_index": 0,
-                    "end_index": 1,
-                    "title": "Source",
-                    "url": "https://example.org",
-                },
-            }
-        ]
-        if populated
-        else []
-    )
-    response = ChatCompletion.model_validate(
-        {
-            "id": "completion",
-            "object": "chat.completion",
-            "model": "test-model",
-            "created": 0,
-            "choices": [
-                {
-                    "index": 0,
-                    "finish_reason": "stop",
-                    "message": {
-                        "role": "assistant",
-                        "content": "Text.",
-                        "annotations": annotations,
-                    },
-                }
-            ],
-        }
-    )
-    history = _response_history(response, "chat/completions")
-    expected = {"role": "assistant", "content": "Text."}
-    if populated:
-        expected["annotations"] = annotations
-    assert history == [expected]
-    assert response.choices[0].message.model_dump()["annotations"] == annotations
diff --git a/tests/core/test_interface.py b/tests/core/test_interface.py
index b4e0dab..6e7ef0e 100644
--- a/tests/core/test_interface.py
+++ b/tests/core/test_interface.py
@@ -1177,7 +1177,7 @@ async def test_reasoning_only_history(
         upstream,
         additions[downstream],
         additions[upstream],
-        provider="openai" if signed else "vllm",
+        provider=DEFAULT_PROVIDER_BY_ENDPOINT[upstream] if signed else "vllm",
     )
 
 
diff --git a/tests/core/test_openrouter_conversations.py b/tests/core/test_openrouter_conversations.py
deleted file mode 100644
index 64e9f3c..0000000
--- a/tests/core/test_openrouter_conversations.py
+++ /dev/null
@@ -1,162 +0,0 @@
-"""Replay recorded OpenRouter free-model conversations without live provider requests."""
-
-import json
-from pathlib import Path
-
-import httpx
-import pytest
-from openai import AsyncOpenAI, BadRequestError
-from openai.lib.streaming.chat import ChatCompletionStreamState
-
-from molto import Molto
-from molto.utils.io import json_loads, read_yaml
-from scripts.record_provider_conversation import (
-    accumulation_chunk,
-    assistant_history,
-    verify_accumulation,
-)
-from tests.core.test_recorded_provider_conversations import (
-    replay_conversation,
-    replay_translated_first_turn,
-)
-
-ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
-GROUPS = [
-    path.parent
-    for path in sorted(ROOT.glob("openrouter-*/manifest.json"))
-    if json.loads(path.read_text())["status"] == "complete"
-]
-
-
-@pytest.mark.parametrize("group", GROUPS, ids=lambda path: path.name)
-async def test_openrouter_native_conversation_sdk_parity(group):
-    """Ensures native OpenRouter output and actual next-turn history match independent SDK replay."""
-    manifest = json.loads((group / "manifest.json").read_text())
-    rejection = (
-        {"reasoning.str": "string_type", "reasoning.list[str]": "list_type"}
-        if group.name
-        in (
-            "openrouter-chat-text-nonstream-none",
-            "openrouter-chat-tools-nonstream-none",
-            "openrouter-chat-parallel-nonstream-none",
-        )
-        else None
-    )
-    await replay_conversation(
-        group, rejected_history=rejection, protocol=manifest["upstream_protocol"]
-    )
-
-
-@pytest.mark.parametrize(
-    ("group", "downstream"),
-    [
-        pytest.param(group, downstream, id=f"{group.name}-{downstream}")
-        for group in GROUPS
-        if json.loads((group / "manifest.json").read_text())["stream"]
-        for downstream in ("chat/completions", "responses", "messages")
-        if downstream != json.loads((group / "manifest.json").read_text())["upstream_protocol"]
-    ],
-)
-@pytest.mark.parametrize("stream", [False, True])
-async def test_openrouter_translated_first_turn_sdk_semantics(group, downstream, stream):
-    """Ensures recorded content, tools, usage and explicit translation boundaries match SDK output."""
-    await replay_translated_first_turn(group, downstream, stream)
-
-
-@pytest.mark.parametrize("stream", [False, True])
-async def test_openrouter_liquid_mandatory_reasoning_error_sdk_parity(stream):
-    """Ensures both native modes preserve Liquid's recorded HTTP400 mandatory-reasoning error."""
-    group = ROOT / f"openrouter-chat-text-{'stream' if stream else 'nonstream'}-none-liquid"
-    manifest = json.loads((group / "manifest.json").read_text())
-    recording = read_yaml(group / manifest["turns"][0]["files"][0])
-    recorded = recording["request"]["body"]
-    extras = manifest["extra_body"]
-    body = {key: value for key, value in recorded.items() if key not in extras}
-    calls = 0
-
-    def handler(request):
-        nonlocal calls
-        calls += 1
-        assert str(request.url) == manifest["upstream_url"]
-        assert json_loads(request.content) == recorded
-        assert request.headers["authorization"] == "Bearer replay-key"
-        response = recording["response"]
-        return httpx.Response(
-            response["status_code"],
-            content=response["body_bytes"],
-            headers={"content-type": "application/json"},
-        )
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-        sdk = AsyncOpenAI(
-            api_key="replay-key",
-            base_url="https://openrouter.ai/api/v1",
-            http_client=transport,
-            max_retries=0,
-        )
-        with pytest.raises(BadRequestError) as reference:
-            await sdk.chat.completions.create(**body, extra_body=extras)
-    async with Molto(
-        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    ) as molto:
-        with pytest.raises(BadRequestError) as actual:
-            await molto.chat_completions(
-                body, provider="openrouter", api_key="replay-key", extra_body=extras
-            )
-    assert calls == 2
-    assert actual.value.status_code == reference.value.status_code == 400
-    assert actual.value.body == reference.value.body == recording["response"]["body"]["error"]
-    assert actual.value.message == reference.value.message
-    assert (
-        actual.value.response.content
-        == reference.value.response.content
-        == recording["response"]["body_bytes"]
-    )
-    assert actual.value.response.is_closed and reference.value.response.is_closed
-
-
-async def test_openrouter_low_reasoning_native_events_preserve_sdk_accumulation_failure():
-    """Ensures raw native events remain exact while corrupted SDK reasoning history is rejected."""
-    group = ROOT / "openrouter-chat-tools-stream-low"
-    manifest = json.loads((group / "manifest.json").read_text())
-    recording = read_yaml(group / manifest["turns"][0]["files"][0])
-    recorded = recording["request"]["body"]
-    extras = manifest["extra_body"]
-    body = {key: value for key, value in recorded.items() if key not in extras}
-    calls = 0
-
-    def handler(request):
-        nonlocal calls
-        calls += 1
-        assert str(request.url) == manifest["upstream_url"]
-        assert json_loads(request.content) == recorded
-        return httpx.Response(
-            200,
-            text="".join(recording["response"]["sse"]),
-            headers={"content-type": "text/event-stream"},
-        )
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-        sdk = AsyncOpenAI(
-            api_key="replay-key",
-            base_url="https://openrouter.ai/api/v1",
-            http_client=transport,
-            max_retries=0,
-        )
-        async with await sdk.chat.completions.create(**body, extra_body=extras) as result:
-            reference = [event async for event in result]
-        async with Molto(http_client=transport) as molto:
-            async with await molto.chat_completions(
-                body, provider="openrouter", api_key="replay-key", extra_body=extras
-            ) as result:
-                actual = [event.model_dump(exclude_unset=True) async for event in result]
-    expected = [event.model_dump(exclude_unset=True) for event in reference]
-    assert actual == expected
-    assert calls == 2
-    state = ChatCompletionStreamState()
-    roles = {}
-    for event in reference:
-        state.handle_chunk(accumulation_chunk(event, roles))
-    history = assistant_history(state.get_final_completion().choices[0].message, events=expected)
-    with pytest.raises(ValueError, match="SDK accumulation changed reasoning_details history"):
-        verify_accumulation(expected, history)
diff --git a/tests/core/test_recorded_provider_conversations.py b/tests/core/test_recorded_provider_conversations.py
deleted file mode 100644
index dacaf44..0000000
--- a/tests/core/test_recorded_provider_conversations.py
+++ /dev/null
@@ -1,443 +0,0 @@
-"""Replay original provider conversations without regenerating expected history."""
-
-import json
-from contextlib import nullcontext
-from copy import deepcopy
-from pathlib import Path
-
-import httpx
-import pytest
-from anthropic import AsyncAnthropic, omit
-from openai import AsyncOpenAI
-from openai.lib.streaming.chat import ChatCompletionStreamState
-from pydantic import ValidationError
-
-from molto import Molto
-from molto.utils.io import dumps_sse, json_loads, read_yaml
-from scripts.record_provider_conversation import (
-    accumulation_chunk,
-    assistant_history,
-    verify_accumulation,
-)
-from tests.core.history_helpers import _collect_response
-from tests.core.test_interface import _assert_responses_stream_invariants
-from tests.core.test_together_conversations import _semantics
-
-ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-03"
-GROUPS = [
-    path.parent
-    for path in sorted(ROOT.glob("*/manifest.json"))
-    if json.loads(path.read_text())["status"] == "complete"
-]
-
-
-# These are recorded limitations, not accepted native continuation cases. Keep
-# the full SDK-produced history unchanged so the local rejection stays visible.
-REJECTED_HISTORY = {
-    "together-qwen-text-nonstream": {"reasoning_content": "string_type"},
-    "together-qwen-text-stream": {
-        "reasoning_content": "string_type",
-        "annotations": "extra_forbidden",
-    },
-    "together-qwen-tools-stream": {"annotations": "extra_forbidden"},
-}
-
-
-async def collect(result, stream, protocol="chat/completions"):
-    if not stream:
-        return result, result.model_dump()
-    if protocol != "chat/completions":
-        async with result:
-            events = [event async for event in result]
-        return _collect_response(events, protocol), [event.model_dump() for event in events]
-    state = ChatCompletionStreamState()
-    events = []
-    roles = {}
-    async with result:
-        async for event in result:
-            events.append(event.model_dump(exclude_unset=True))
-            state.handle_chunk(accumulation_chunk(event, roles))
-    completion = state.get_final_completion()
-    verify_accumulation(events, assistant_history(completion.choices[0].message))
-    return completion, events
-
-
-def response_history(response, protocol, *, events=None):
-    """Retain native output fields and remove only incremental SDK parser bookkeeping."""
-    if protocol == "chat/completions":
-        return [assistant_history(response.choices[0].message, events=events)]
-    if protocol == "responses":
-        return [item.model_dump(exclude_unset=True) for item in response.output]
-    return [
-        {
-            "role": response.role,
-            "content": [
-                block.model_dump(exclude_unset=True, exclude={"__json_buf", "parsed_output"})
-                for block in response.content
-            ],
-        }
-    ]
-
-
-async def replay_conversation(group, rejected_history=None, *, protocol="chat/completions"):
-    """Replay every SDK turn and assert Molto parity up to an explicit history boundary."""
-    manifest = json.loads((group / "manifest.json").read_text())
-    recordings = [read_yaml(group / turn["files"][0]) for turn in manifest["turns"]]
-    stream = manifest["stream"]
-    bearer_auth = protocol == "messages" and manifest["provider"] in ("openrouter", "bedrock")
-    history_key = "input" if protocol == "responses" else "messages"
-    messages = deepcopy(recordings[0]["request"]["body"][history_key])
-    calls = 0
-    rejected = False
-    for turn, recording in enumerate(recordings):
-        expected_body = recording["request"]["body"]
-        assert messages == expected_body[history_key]
-        body = {**deepcopy(expected_body), history_key: deepcopy(messages)}
-        extra_body = manifest.get("extra_body")
-        for key in extra_body or {}:
-            body.pop(key)
-
-        def handler(request, expected_body=expected_body, recording=recording):
-            nonlocal calls
-            calls += 1
-            assert str(request.url) == manifest["upstream_url"]
-            assert json_loads(request.content) == expected_body
-            if protocol == "messages" and not bearer_auth:
-                assert request.headers["x-api-key"] == "replay-key"
-            else:
-                assert request.headers["authorization"] == "Bearer replay-key"
-                assert "x-api-key" not in request.headers
-            recorded = recording["response"]
-            if "sse" in recorded:
-                return httpx.Response(
-                    recorded["status_code"],
-                    content="".join(recorded["sse"]),
-                    headers={"content-type": "text/event-stream"},
-                )
-            return httpx.Response(
-                recorded["status_code"],
-                content=recorded["body_bytes"],
-                headers={"content-type": "application/json"},
-            )
-
-        async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-            sdk_type = AsyncAnthropic if protocol == "messages" else AsyncOpenAI
-            suffix = "/v1/messages" if protocol == "messages" else f"/{protocol}"
-            sdk = sdk_type(
-                **(
-                    {
-                        "auth_token": "replay-key",
-                        "api_key": None,
-                        "default_headers": {"x-api-key": omit},
-                    }
-                    if bearer_auth
-                    else {"api_key": "replay-key"}
-                ),
-                base_url=manifest["upstream_url"].removesuffix(suffix),
-                http_client=transport,
-                max_retries=0,
-            )
-            create = (
-                sdk.messages.create
-                if protocol == "messages"
-                else sdk.responses.create
-                if protocol == "responses"
-                else sdk.chat.completions.create
-            )
-            reference, expected_output = await collect(
-                await create(**body, extra_body=extra_body), stream, protocol
-            )
-        if rejected_history and turn == 1:
-            before = calls
-            async with Molto(
-                http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-            ) as molto:
-                with pytest.raises(ValidationError) as error:
-                    await getattr(molto, protocol.replace("/", "_"))(
-                        body,
-                        provider=manifest["provider"],
-                        api_key="replay-key",
-                        extra_body=extra_body,
-                    )
-            assert calls == before
-            assistant_errors = {
-                ".".join(map(str, failure["loc"][3:])): failure["type"]
-                for failure in error.value.errors()
-                if failure["loc"][:3]
-                == ("messages", 1, "ChatCompletionAssistantMessageWithReasoningParam")
-            }
-            assert assistant_errors == rejected_history
-            for failure in error.value.errors():
-                if failure["loc"][:3] == (
-                    "messages",
-                    1,
-                    "ChatCompletionAssistantMessageWithReasoningParam",
-                ):
-                    assert failure["input"] == messages[1][failure["loc"][3]]
-            rejected = True
-        if not rejected:
-            async with Molto(
-                http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-            ) as molto:
-                actual, actual_output = await collect(
-                    await getattr(molto, protocol.replace("/", "_"))(
-                        body,
-                        provider=manifest["provider"],
-                        api_key="replay-key",
-                        extra_body=extra_body,
-                    ),
-                    stream,
-                    protocol,
-                )
-            if protocol == "responses" and stream:
-                # Native Responses already documents omitted cache-write usage as zero.
-                # Keep every other independently SDK-parsed field exact.
-                reference = reference.model_copy(deep=True)
-                for event in expected_output:
-                    if event["type"] == "response.completed":
-                        details = event["response"]["usage"]["input_tokens_details"]
-                        if details["cache_write_tokens"] is None:
-                            details["cache_write_tokens"] = 0
-                            reference.usage.input_tokens_details.cache_write_tokens = 0
-            assert actual_output == expected_output
-            assert actual.model_dump() == reference.model_dump()
-            history = response_history(
-                actual,
-                protocol,
-                events=actual_output
-                if stream and manifest.get("history_policy") == "omit-absent-sdk-null-bookkeeping"
-                else None,
-            )
-        else:
-            # Molto has rejected continuation. Only the independent SDK continues
-            # replaying the remaining recorded turns, using its actual output.
-            history = response_history(
-                reference,
-                protocol,
-                events=expected_output
-                if stream and manifest.get("history_policy") == "omit-absent-sdk-null-bookkeeping"
-                else None,
-            )
-        messages.extend(history)
-        if turn + 1 < len(recordings):
-            next_messages = recordings[turn + 1]["request"]["body"][history_key]
-            # Compare actual output before appending only recorded new user/tool input.
-            assert messages == next_messages[: len(messages)]
-            suffix = next_messages[len(messages) :]
-            assert suffix and all(
-                message.get("role") in ("user", "tool")
-                or message.get("type") == "function_call_output"
-                for message in suffix
-            )
-            messages.extend(deepcopy(suffix))
-    assert rejected == bool(rejected_history)
-    assert calls == (len(recordings) + 1 if rejected else len(recordings) * 2)
-
-
-@pytest.mark.parametrize(
-    "group",
-    [path for path in GROUPS if path.name not in REJECTED_HISTORY],
-    ids=lambda path: path.name,
-)
-async def test_recorded_native_conversation_uses_actual_output_as_history(group):
-    """Ensures supported complete runs preserve exact SDK results and actual next-turn history."""
-    await replay_conversation(group)
-
-
-@pytest.mark.parametrize(
-    "group", [path for path in GROUPS if path.name in REJECTED_HISTORY], ids=lambda path: path.name
-)
-async def test_recorded_history_has_explicit_native_rejection(group):
-    """Ensures recorded incompatible SDK history rejects locally while independent SDK replay succeeds."""
-    await replay_conversation(group, rejected_history=REJECTED_HISTORY[group.name])
-
-
-@pytest.mark.parametrize("downstream", ["responses", "chat_completions", "messages"])
-async def test_together_alternative_endpoint_requires_explicit_destination(downstream):
-    """Ensures a Together key cannot be sent to a canonical service by an unsupported default route."""
-    body = (
-        {"model": "example", "input": "Hi"}
-        if downstream == "responses"
-        else {
-            "model": "example",
-            "messages": [{"role": "user", "content": "Hi"}],
-            "max_tokens": 20,
-        }
-    )
-    async with Molto(
-        http_client=httpx.AsyncClient(
-            transport=httpx.MockTransport(
-                lambda _: pytest.fail("Unconfigured Together endpoint reached HTTP")
-            )
-        )
-    ) as molto:
-        with pytest.raises(ValueError, match="explicit base_url"):
-            await getattr(molto, downstream)(
-                body, provider="togetherai", endpoint="responses", api_key="provider-key"
-            )
-
-
-def translated_request(recorded, upstream, downstream, stream):
-    """Build only the captured user text and function definitions in another protocol."""
-    history = recorded["input" if upstream == "responses" else "messages"]
-    assert len(history) == 1 and history[0]["role"] == "user"
-    content = history[0]["content"]
-    parts = [content] if isinstance(content, str) else [part["text"] for part in content]
-    body = {"model": recorded["model"], "stream": stream}
-    body["input" if downstream == "responses" else "messages"] = [
-        {
-            "role": "user",
-            "content": [
-                {"type": "input_text" if downstream == "responses" else "text", "text": part}
-                for part in parts
-            ],
-        }
-    ]
-    limit = next(
-        recorded[key]
-        for key in ("max_tokens", "max_output_tokens", "max_completion_tokens")
-        if key in recorded
-    )
-    body["max_output_tokens" if downstream == "responses" else "max_tokens"] = limit
-    if recorded.get("tools"):
-        tool = recorded["tools"][0]
-        function = tool["function"] if upstream == "chat/completions" else tool
-        payload = {
-            "name": function["name"],
-            "description": function["description"],
-            "parameters": function["input_schema" if upstream == "messages" else "parameters"],
-            "strict": False,
-        }
-        body["tools"] = [
-            {"type": "function", "function": payload}
-            if downstream == "chat/completions"
-            else {"type": "function", **payload}
-            if downstream == "responses"
-            else {
-                "name": payload["name"],
-                "description": payload["description"],
-                "input_schema": payload["parameters"],
-            }
-        ]
-    return body
-
-
-async def replay_translated_first_turn(group, downstream, stream):
-    """Compare first-turn translation with the independent SDK or an explicit output boundary."""
-    manifest = json.loads((group / "manifest.json").read_text())
-    upstream = manifest["upstream_protocol"]
-    recording = read_yaml(group / manifest["turns"][0]["files"][0])
-    recorded = recording["request"]["body"]
-    body = translated_request(recorded, upstream, downstream, stream)
-    expected = translated_request(recorded, upstream, upstream, True)
-    # This offline output smoke keeps captured provider controls as explicit overrides;
-    # it does not claim the translated request was itself executed against the provider.
-    controls = {
-        key: recorded[key]
-        for key in (
-            "reasoning",
-            "reasoning_effort",
-            "thinking",
-            "tool_choice",
-            "parallel_tool_calls",
-            "store",
-        )
-        if key in recorded
-    }
-    controls.update(manifest.get("extra_body") or {})
-    expected.update(controls)
-    if upstream == "chat/completions":
-        expected["max_completion_tokens"] = expected.pop("max_tokens")
-        expected["stream_options"] = {"include_usage": True}
-    if downstream == "messages" and upstream != "messages":
-        expected.setdefault("stream_options", {})["include_obfuscation"] = False
-    calls = 0
-
-    def handler(request):
-        nonlocal calls
-        calls += 1
-        assert str(request.url) == manifest["upstream_url"]
-        assert json_loads(request.content) == expected
-        return httpx.Response(
-            200,
-            text="".join(recording["response"]["sse"]),
-            headers={"content-type": "text/event-stream"},
-        )
-
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(
-            lambda _: httpx.Response(
-                200,
-                text="".join(recording["response"]["sse"]),
-                headers={"content-type": "text/event-stream"},
-            )
-        )
-    ) as transport:
-        sdk = (
-            AsyncAnthropic(api_key="test", http_client=transport)
-            if upstream == "messages"
-            else AsyncOpenAI(api_key="test", http_client=transport)
-        )
-        create = (
-            sdk.messages.create
-            if upstream == "messages"
-            else sdk.responses.create
-            if upstream == "responses"
-            else sdk.chat.completions.create
-        )
-        sdk_body = {
-            key: value
-            for key, value in recorded.items()
-            if key not in (manifest.get("extra_body") or {})
-        }
-        reference, _ = await collect(
-            await create(**sdk_body, extra_body=manifest.get("extra_body")), True, upstream
-        )
-    rejection = None
-    if upstream == "messages" and any(
-        block.type == "thinking" and block.thinking and not block.signature
-        for block in reference.content
-    ):
-        rejection = "An Anthropic reasoning summary requires a signature."
-    if upstream == "responses" and any(
-        item.type == "reasoning" and item.summary and not item.encrypted_content
-        for item in reference.output
-    ):
-        rejection = "A Responses reasoning summary requires a signature."
-    transport = httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    with pytest.raises(ValueError, match=rejection) if rejection else nullcontext():
-        async with Molto(http_client=transport) as molto:
-            result = await getattr(molto, downstream.replace("/", "_"))(
-                body,
-                provider=manifest["provider"],
-                endpoint=upstream,
-                api_key="test",
-                extra_body=controls,
-            )
-            actual, events = await collect(result, stream, downstream)
-    assert calls == 1
-    assert transport.is_closed
-    if rejection:
-        return
-    expected_semantics = _semantics(reference, upstream)
-    actual_semantics = _semantics(actual, downstream)
-    assert actual_semantics == expected_semantics
-    if stream and downstream == "responses":
-        _assert_responses_stream_invariants([dumps_sse(event) for event in events])
-
-    if stream and downstream == "messages":
-        assert events[0]["type"] == "message_start"
-        assert events[-1]["type"] == "message_stop"
-        starts = [event["index"] for event in events if event["type"] == "content_block_start"]
-        stops = [event["index"] for event in events if event["type"] == "content_block_stop"]
-        assert starts == stops == list(range(len(starts)))
-    if stream and downstream == "chat/completions":
-        assert sum(bool(event["usage"]) for event in events) == 1
-        assert (
-            sum(
-                choice["finish_reason"] is not None
-                for event in events
-                for choice in event["choices"]
-            )
-            == 1
-        )
diff --git a/tests/core/test_together_conversations.py b/tests/core/test_together_conversations.py
deleted file mode 100644
index 1a7f529..0000000
--- a/tests/core/test_together_conversations.py
+++ /dev/null
@@ -1,335 +0,0 @@
-"""Historical PR #76 matched conversations; these are not fresh live provider claims."""
-
-from copy import deepcopy
-from itertools import product
-from pathlib import Path
-
-import httpx
-import pytest
-from anthropic import AsyncAnthropic
-from openai import AsyncOpenAI
-
-from molto import Molto
-from molto.utils.io import dumps_sse, json_loads, read_yaml
-from molto.utils.test import (
-    assert_chat_completions_chunks_match,
-    reconstructable_anthropic_event,
-    reconstructable_chat_completions_chunks,
-    reconstructable_responses_event,
-)
-from tests.core.history_helpers import (
-    _assert_history_matches,
-    _collect_response,
-    _continue_history,
-    _response_history,
-)
-from tests.core.test_interface import (
-    _assert_responses_stream_invariants,
-    _reconstructable_tool_responses_event,
-    _without_irrelevant_parallel_tool_calls,
-)
-
-ROOT = Path(__file__).parents[1] / "cassettes" / "reference_pr76"
-SCENARIOS = (
-    "simple_text",
-    "reasoning_raw",
-    "input_image_base64",
-    "input_image_remote_url",
-    "tool_call",
-    "tool_call_choice",
-    "tool_call_parallel",
-)
-
-
-def _endpoint(path):
-    provider, _, suffix = path.name.partition("-")
-    protocol = suffix.split("-", 1)[0].replace("chat_completions", "chat/completions")
-    return protocol, provider
-
-
-def _paths(scenario, endpoint, mode):
-    protocol, provider = endpoint
-    return sorted((ROOT / scenario).glob(f"{provider}-{protocol.replace('/', '_')}-{mode}-*.yaml"))
-
-
-def _cases():
-    cases = []
-    for scenario in SCENARIOS:
-        endpoints = [
-            _endpoint(path) for path in sorted((ROOT / scenario).glob("*-stream-00.yaml"))
-        ]
-        for downstream, upstream in product(endpoints, repeat=2):
-            if "togetherai" not in (downstream[1], upstream[1]):
-                continue
-            for stream in (True, False):
-                translated = downstream[0] != upstream[0]
-                mode = "stream" if stream or translated else "non_stream"
-                if not _paths(scenario, downstream, mode) or not _paths(scenario, upstream, mode):
-                    assert mode == "non_stream", "Missing streaming counterpart"
-                    continue
-                cases.append(
-                    pytest.param(
-                        scenario,
-                        downstream,
-                        upstream,
-                        stream,
-                        id=f"{scenario}-{downstream}-{upstream}-{stream}",
-                    )
-                )
-    return cases
-
-
-def _sdk_body(body):
-    body = deepcopy(body)
-    extras = (
-        {"reasoning": body.pop("reasoning")}
-        if "messages" in body and "reasoning" in body
-        else None
-    )
-    return body, extras
-
-
-def _response(cassette):
-    response = cassette["response"]
-    if "sse" in response:
-        return httpx.Response(
-            response["status_code"],
-            text="".join(response["sse"]),
-            headers={"content-type": "text/event-stream"},
-        )
-    return httpx.Response(response["status_code"], json=response["body"])
-
-
-async def _sdk_result(path, protocol):
-    cassette = read_yaml(path)
-    body, extras = _sdk_body(cassette["request"]["body"])
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(lambda _: _response(cassette))
-    ) as transport:
-        sdk = (
-            AsyncAnthropic(api_key="test", http_client=transport)
-            if protocol == "messages"
-            else AsyncOpenAI(api_key="test", http_client=transport)
-        )
-        create = (
-            sdk.messages.create
-            if protocol == "messages"
-            else sdk.responses.create
-            if protocol == "responses"
-            else sdk.chat.completions.create
-        )
-        result = await create(**body, extra_body=extras)
-        if not body.get("stream", False):
-            return result, None
-        async with result:
-            events = [event async for event in result]
-        return _collect_response(events, protocol), events
-
-
-def _semantics(response, protocol):
-    """Extract independently observable content, calls, usage, and termination for comparison."""
-    if protocol == "responses":
-        text = response.output_text
-        calls = [
-            (item.call_id, item.name, json_loads(item.arguments))
-            for item in response.output
-            if item.type == "function_call"
-        ]
-        reasoning = [
-            (
-                "".join(part.text for part in item.content or []),
-                "".join(part.text for part in item.summary),
-                item.encrypted_content,
-            )
-            for item in response.output
-            if item.type == "reasoning"
-        ]
-        usage = (
-            response.usage.input_tokens,
-            response.usage.output_tokens,
-            response.usage.total_tokens,
-        )
-        assert response.status == "completed"
-    elif protocol == "chat/completions":
-        message = response.choices[0].message
-        text = message.content or ""
-        calls = [
-            (call.id, call.function.name, json_loads(call.function.arguments))
-            for call in message.tool_calls or []
-        ]
-        raw = getattr(message, "reasoning", None) or getattr(message, "reasoning_content", None)
-        reasoning = [(raw, "", None)] if raw else []
-        usage = (
-            response.usage.prompt_tokens,
-            response.usage.completion_tokens,
-            response.usage.total_tokens,
-        )
-        assert response.choices[0].finish_reason == ("tool_calls" if calls else "stop")
-    else:
-        text = "".join(block.text for block in response.content if block.type == "text")
-        calls = [
-            (block.id, block.name, block.input)
-            for block in response.content
-            if block.type == "tool_use"
-        ]
-        reasoning = [
-            (block.thinking, "", block.signature or None)
-            for block in response.content
-            if block.type == "thinking"
-        ]
-        input_tokens = (
-            response.usage.input_tokens
-            + (response.usage.cache_creation_input_tokens or 0)
-            + (response.usage.cache_read_input_tokens or 0)
-        )
-        usage = (
-            input_tokens,
-            response.usage.output_tokens,
-            input_tokens + response.usage.output_tokens,
-        )
-        assert response.stop_reason == ("tool_use" if calls else "end_turn")
-    return response.id, response.model, text, calls, reasoning, usage
-
-
-def _assert_wire_body(actual, expected, protocol, translated):
-    """Compare entire request copies without rewriting any actual continuation history."""
-    actual, expected = deepcopy(actual), deepcopy(expected)
-    key = "input" if protocol == "responses" else "messages"
-    _assert_history_matches(actual.pop(key), expected.pop(key), protocol, translated=translated)
-    if translated:
-        actual = _without_irrelevant_parallel_tool_calls(actual)
-        expected = _without_irrelevant_parallel_tool_calls(expected)
-    assert actual == expected
-
-
-def _assert_translated_events(actual, expected, body, protocol, upstream, scenario):
-    """Assert independently parsed observable deltas and lifecycle, including chunk boundaries."""
-    actual_sse = [dumps_sse(event) for event in actual]
-    expected_sse = [dumps_sse(event) for event in expected]
-    if protocol == "responses":
-        _assert_responses_stream_invariants(actual_sse)
-        actual = [reconstructable_responses_event(event, body) for event in actual_sse]
-        expected = [reconstructable_responses_event(event, body) for event in expected_sse]
-        for event in actual + expected:
-            if upstream == "messages" and isinstance(event.get("response"), dict):
-                event["response"].pop("created_at", None)
-            if scenario.startswith("tool_call"):
-                _reconstructable_tool_responses_event(event)
-        assert actual == expected
-    elif protocol == "chat/completions":
-        actual = [
-            chunk
-            for event in actual_sse
-            for chunk in reconstructable_chat_completions_chunks(event, body)
-        ]
-        expected = [
-            chunk
-            for event in expected_sse
-            for chunk in reconstructable_chat_completions_chunks(event, body)
-        ]
-        if upstream == "messages":
-            for chunk in actual + expected:
-                chunk.pop("created", None)
-        assert_chat_completions_chunks_match(actual, expected)
-    else:
-        assert [reconstructable_anthropic_event(event) for event in actual_sse] == [
-            reconstructable_anthropic_event(event) for event in expected_sse
-        ]
-
-
-@pytest.mark.parametrize(("scenario", "downstream", "upstream", "stream"), _cases())
-async def test_together_matched_conversations(scenario, downstream, upstream, stream):
-    """Ensures actual SDK-compatible outputs become exact next-turn requests across all routes."""
-    protocol, _ = downstream
-    upstream_protocol, provider = upstream
-    translated = protocol != upstream_protocol
-    mode = "stream" if stream or translated else "non_stream"
-    downstream_paths = _paths(scenario, downstream, mode)
-    upstream_paths = _paths(scenario, upstream, mode)
-    canonical_paths = sorted((ROOT / scenario).glob(f"*-responses-{mode}-*.yaml"))
-    assert len(downstream_paths) == len(upstream_paths) == len(canonical_paths)
-    assert len(downstream_paths) >= 2
-    key = "input" if protocol == "responses" else "messages"
-    history = deepcopy(read_yaml(downstream_paths[0])["request"]["body"][key])
-    requests, responses = [], []
-    expected_request = None
-
-    def handler(request):
-        turn = len(requests)
-        requests.append(request)
-        assert request.method == "POST"
-        host = (
-            "api.together.ai"
-            if provider == "togetherai"
-            else "api.anthropic.com"
-            if upstream_protocol == "messages"
-            else "api.openai.com"
-        )
-        assert str(request.url) == f"https://{host}/v1/{upstream_protocol}"
-        assert request.headers[
-            "x-api-key" if upstream_protocol == "messages" else "authorization"
-        ] == ("test" if upstream_protocol == "messages" else "Bearer test")
-        _assert_wire_body(
-            json_loads(request.content), expected_request, upstream_protocol, translated
-        )
-        response = _response(read_yaml(upstream_paths[turn]))
-        responses.append(response)
-        return response
-
-    async with Molto(
-        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    ) as client:
-        for turn, path in enumerate(downstream_paths):
-            body, extras = _sdk_body(read_yaml(path)["request"]["body"])
-            body[key] = deepcopy(history)
-            body["stream"] = stream
-            if translated:
-                expected_request = deepcopy(read_yaml(upstream_paths[turn])["request"]["body"])
-                _, extras = _sdk_body(expected_request)
-            else:
-                expected_request = {**body, **(extras or {})}
-            result = await getattr(client, protocol.replace("/", "_"))(
-                body=body,
-                endpoint=upstream_protocol,
-                provider=provider,
-                api_key="test",
-                extra_body=extras,
-            )
-            if stream:
-                async with result:
-                    events = [event async for event in result]
-                result = _collect_response(events, protocol)
-            sdk_result, sdk_events = await _sdk_result(
-                path if translated else upstream_paths[turn], protocol
-            )
-            if translated:
-                if stream:
-                    reference_body, _ = _sdk_body(read_yaml(path)["request"]["body"])
-                    _assert_translated_events(
-                        events, sdk_events, reference_body, protocol, upstream_protocol, scenario
-                    )
-                _assert_history_matches(
-                    _response_history(result, protocol),
-                    _response_history(sdk_result, protocol),
-                    protocol,
-                    translated=True,
-                )
-            elif stream:
-                assert [event.model_dump() for event in events] == [
-                    event.model_dump() for event in sdk_events
-                ]
-            else:
-                assert result.model_dump() == sdk_result.model_dump()
-            canonical, _ = await _sdk_result(canonical_paths[turn], "responses")
-            assert _semantics(result, protocol) == _semantics(canonical, "responses")
-            assert responses[-1].is_closed
-            assert len(requests) == turn + 1
-            if turn + 1 < len(downstream_paths):
-                next_history = read_yaml(downstream_paths[turn + 1])["request"]["body"][key]
-                history = _continue_history(
-                    history,
-                    _response_history(result, protocol),
-                    next_history,
-                    protocol,
-                    translated=translated,
-                )
diff --git a/tests/core/test_together_errors.py b/tests/core/test_together_errors.py
deleted file mode 100644
index ccdb690..0000000
--- a/tests/core/test_together_errors.py
+++ /dev/null
@@ -1,104 +0,0 @@
-"""SDK parity for unchanged historical Together error captures from PR #76."""
-
-from copy import deepcopy
-
-import pytest
-from openai import AsyncOpenAI
-from openai import AuthenticationError as SDKAuthenticationError
-from openai import BadRequestError as SDKBadRequestError
-from openai import NotFoundError as SDKNotFoundError
-
-from molto import Molto
-from molto.utils.io import json_loads, read_yaml
-from tests.core.test_exceptions import (
-    CASSETTE_DIR,
-    DOWNSTREAM_ERROR_TYPES,
-    DOWNSTREAM_STATUS_ERROR_TYPES,
-    ERROR_SCENARIOS,
-    PROTOCOLS,
-    _get_http_client,
-    _read_cassette,
-    scenario_ids,
-)
-
-
-@pytest.mark.parametrize("scenario", ERROR_SCENARIOS, ids=scenario_ids(ERROR_SCENARIOS))
-@pytest.mark.parametrize("downstream", PROTOCOLS)
-@pytest.mark.parametrize("stream", [False, True])
-async def test_together_error_cassette_sdk_parity(scenario, downstream, stream):
-    """Ensures all public routes preserve recorded SDK errors and exact executed requests."""
-    mode = "stream" if stream else "non_stream"
-    cassette = read_yaml(
-        CASSETTE_DIR / scenario.name / f"togetherai-chat_completions-{mode}-00.yaml"
-    )
-    status = cassette["response"]["status_code"]
-    sdk_error_type = {
-        400: SDKBadRequestError,
-        401: SDKAuthenticationError,
-        404: SDKNotFoundError,
-    }[status]
-    native_body = deepcopy(cassette["request"]["body"])
-    extra_body = {"reasoning": native_body.pop("reasoning")}
-    sdk_transport, sdk_requests = _get_http_client(cassette)
-    async with sdk_transport:
-        sdk = AsyncOpenAI(
-            http_client=sdk_transport,
-            api_key="test-api-key",
-            base_url="https://api.together.ai/v1",
-            max_retries=0,
-        )
-        with pytest.raises(sdk_error_type) as reference:
-            await sdk.chat.completions.create(**native_body, extra_body=extra_body)
-    assert len(sdk_requests) == 1
-    assert json_loads(sdk_requests[0].content) == cassette["request"]["body"]
-
-    translated = downstream != "chat/completions"
-    body = (
-        deepcopy(_read_cassette(scenario.name, downstream, stream=stream)["request"]["body"])
-        if translated
-        else native_body
-    )
-    expected_body = deepcopy(cassette["request"]["body"])
-    if translated and not stream:
-        expected_body["stream"] = True
-        expected_body.setdefault("stream_options", {})["include_usage"] = True
-        if downstream == "messages":
-            expected_body["stream_options"]["include_obfuscation"] = False
-
-    expected_error_type = DOWNSTREAM_STATUS_ERROR_TYPES[downstream].get(
-        status, DOWNSTREAM_ERROR_TYPES[downstream]
-    )
-    transport, requests = _get_http_client(cassette)
-    async with transport:
-        client = Molto(http_client=transport)
-        coordinator = getattr(client, downstream.replace("/", "_"))
-        with pytest.raises(expected_error_type) as result:
-            await coordinator(
-                body=body,
-                endpoint="chat/completions",
-                provider="togetherai",
-                api_key="test-api-key",
-                extra_body=extra_body,
-            )
-        error = result.value
-        normalized = error.__cause__
-        original = normalized.__cause__
-        assert type(normalized) is scenario.normalized_error
-        assert type(original) is sdk_error_type
-        assert error is not original
-        assert original.__cause__ is None
-        assert error.message == normalized.message == original.message == reference.value.message
-        assert error.body is normalized.body is original.body
-        assert error.body == reference.value.body
-        assert error.response is normalized.response is original.response
-        assert error.response.status_code == status
-        assert error.response.headers == reference.value.response.headers
-        assert error.response.content == reference.value.response.content
-        assert error.response.is_closed
-        assert error.request is normalized.request is original.request is requests[0]
-        assert not transport.is_closed
-    assert len(requests) == 1
-    assert requests[0].method == "POST"
-    assert str(requests[0].url) == "https://api.together.ai/v1/chat/completions"
-    assert requests[0].headers["authorization"] == "Bearer test-api-key"
-    assert json_loads(requests[0].content) == expected_body
diff --git a/tests/test_hosted_providers.py b/tests/test_hosted_providers.py
index 92d9b40..5faad6d 100644
--- a/tests/test_hosted_providers.py
+++ b/tests/test_hosted_providers.py
@@ -5,28 +5,20 @@
 
 import httpx
 import pytest
-from anthropic import AsyncAnthropic
-from openai import AsyncOpenAI
+from openai import AsyncOpenAI, OpenAIError
 from openai.lib.streaming.chat import ChatCompletionStreamState
 from pydantic import SecretStr
 
 from molto import Molto
 from molto.configs import ENV_CONFIG
-from molto.providers import PROVIDER_KEY_NAMES
+from molto.providers import PROVIDER_CAPABILITIES, PROVIDER_KEY_NAMES
+from molto.upstream.registry import CLIENTS
 from molto.utils.io import dumps_sse, json_loads, read_yaml
 
 DESTINATIONS = [
     ("fireworks", "responses", "https://api.fireworks.ai/inference/v1", "/responses"),
-    (
-        "fireworks",
-        "chat/completions",
-        "https://api.fireworks.ai/inference/v1",
-        "/chat/completions",
-    ),
-    ("fireworks", "messages", "https://api.fireworks.ai/inference", "/v1/messages"),
     ("openrouter", "responses", "https://openrouter.ai/api/v1", "/responses"),
-    ("openrouter", "chat/completions", "https://openrouter.ai/api/v1", "/chat/completions"),
-    ("openrouter", "messages", "https://openrouter.ai/api", "/v1/messages"),
+    ("togetherai", "responses", "https://api.together.ai/v1", "/responses"),
     (
         "gemini",
         "chat/completions",
@@ -39,26 +31,13 @@
         "https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1",
         "/responses",
     ),
-    (
-        "bedrock",
-        "chat/completions",
-        "https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1",
-        "/chat/completions",
-    ),
-    (
-        "bedrock",
-        "messages",
-        "https://bedrock-runtime.us-east-1.amazonaws.com/anthropic",
-        "/v1/messages",
-    ),
 ]
 
 
 def cassette(protocol, stream):
-    provider = "anthropic" if protocol == "messages" else "openai"
     mode = "stream" if stream else "non_stream"
     path = Path(__file__).parent / "cassettes/matched/simple_text"
-    return read_yaml(path / f"{provider}-{protocol.replace('/', '_')}-{mode}-00.yaml")
+    return read_yaml(path / f"openai-{protocol.replace('/', '_')}-{mode}-00.yaml")
 
 
 def response(recording):
@@ -81,12 +60,6 @@ async def test_hosted_native_destination_auth_and_sdk_parity(
         ENV_CONFIG, PROVIDER_KEY_NAMES[provider].lower(), SecretStr("configured-key")
     )
     monkeypatch.setenv("OPENAI_API_KEY", "unrelated")
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated")
-    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated")
-    monkeypatch.setenv(
-        "ANTHROPIC_CUSTOM_HEADERS",
-        "authorization: env-lower\nAuthorization: env-title\nAUTHORIZATION: env-upper\nx-api-key: env-lower\nX-Api-Key: env-title\nX-API-KEY: env-upper\nx-custom: retained",
-    )
     monkeypatch.setenv("OPENAI_ORG_ID", "unrelated")
     monkeypatch.setenv("OPENAI_PROJECT_ID", "unrelated")
     base = "https://custom.example/prefix" if override else base
@@ -101,18 +74,10 @@ def handler(request):
         assert str(request.url) == base + path
         assert request.method == "POST"
         assert json_loads(request.content) == body
-        assert request.headers.get("authorization") == (
-            f"Bearer {key}"
-            if endpoint != "messages" or provider in {"bedrock", "openrouter"}
-            else None
-        )
-        assert request.headers.get("x-api-key") == (
-            key if endpoint == "messages" and provider not in {"bedrock", "openrouter"} else None
-        )
+        assert request.headers["authorization"] == f"Bearer {key}"
+        assert "x-api-key" not in request.headers
         assert "openai-organization" not in request.headers
         assert "openai-project" not in request.headers
-        if endpoint == "messages":
-            assert request.headers["x-custom"] == "retained"
         return response(recording)
 
     async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
@@ -132,14 +97,10 @@ def handler(request):
     async with httpx.AsyncClient(
         transport=httpx.MockTransport(lambda _: response(recording))
     ) as transport:
-        if endpoint == "messages":
-            sdk = AsyncAnthropic(api_key="sdk-key", http_client=transport)
-            expected = await sdk.messages.create(**body)
-        else:
-            sdk = AsyncOpenAI(api_key="sdk-key", http_client=transport)
-            expected = await (
-                sdk.responses.create if endpoint == "responses" else sdk.chat.completions.create
-            )(**body)
+        sdk = AsyncOpenAI(api_key="sdk-key", http_client=transport)
+        expected = await (
+            sdk.responses.create if endpoint == "responses" else sdk.chat.completions.create
+        )(**body)
         if stream:
             async with expected:
                 expected = [event.model_dump() async for event in expected]
@@ -187,6 +148,48 @@ def unexpected(request):
     assert str(error.value.request.url) == base + path
 
 
+@pytest.mark.parametrize(("provider", "endpoint", "base", "path"), DESTINATIONS)
+async def test_direct_hosted_client_defaults_and_missing_credentials(
+    provider, endpoint, base, path, monkeypatch
+):
+    """Ensures direct clients own their URL and reject unrelated SDK credentials without the facade."""
+    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
+    async with httpx.AsyncClient() as transport:
+        kwargs = {"capabilities": PROVIDER_CAPABILITIES[provider]}
+        if provider == "bedrock":
+            with pytest.raises(ValueError, match="explicit"):
+                CLIENTS[provider, endpoint](transport, **kwargs)
+            kwargs["base_url"] = base
+        client = CLIENTS[provider, endpoint](transport, **kwargs)
+        with pytest.raises(OpenAIError, match=PROVIDER_KEY_NAMES[provider]):
+            client._make_sdk_client()
+        selected = CLIENTS[provider, endpoint](transport, api_key="selected-key", **kwargs)
+        sdk = selected._make_sdk_client()
+        assert str(sdk.base_url).rstrip("/") == base
+        assert sdk.default_headers["Authorization"] == "Bearer selected-key"
+
+
+@pytest.mark.parametrize(("provider", "supported", "base", "path"), DESTINATIONS)
+async def test_hosted_providers_reject_unselected_protocols(provider, supported, base, path):
+    """Ensures a custom URL cannot silently enable an unsupported provider protocol."""
+    async with Molto(
+        http_client=httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _: pytest.fail("Unsupported provider protocol reached HTTP")
+            )
+        )
+    ) as client:
+        for endpoint in {"responses", "chat/completions", "messages"} - {supported}:
+            with pytest.raises(ValueError):
+                await client.responses(
+                    {"model": "example", "input": "Hi"},
+                    provider=provider,
+                    endpoint=endpoint,
+                    api_key="selected-key",
+                    base_url=base,
+                )
+
+
 def tool_chunk(calls, finish=None):
     return {
         "id": "chat-1",
diff --git a/tests/test_provider_clients.py b/tests/test_provider_clients.py
deleted file mode 100644
index 52523f4..0000000
--- a/tests/test_provider_clients.py
+++ /dev/null
@@ -1,235 +0,0 @@
-"""Provider/protocol selection and credential boundaries, exercised without live requests."""
-
-from copy import deepcopy
-
-import httpx
-import pytest
-from anthropic import AsyncAnthropic
-from openai import AsyncOpenAI, OpenAIError
-from pydantic import SecretStr
-
-from molto import Molto
-from molto.configs import ENV_CONFIG
-from molto.providers import PROVIDER_CAPABILITIES
-from molto.types.anthropic_messages import AnthropicMessagesCreateRequest
-from molto.types.openai_chat_completions import OpenAIChatCompletionsCreateRequest
-from molto.types.openai_responses import OpenAIResponsesCreateRequest
-from molto.upstream.base import BaseClient
-from molto.utils.io import json_loads
-from tests.test_hosted_providers import DESTINATIONS, cassette, response
-
-PROVIDERS = {
-    "anthropic": ("Anthropic", "anthropic_api_key"),
-    "bedrock": ("Bedrock", "aws_bearer_token_bedrock"),
-    "fireworks": ("Fireworks", "fireworks_api_key"),
-    "gemini": ("Gemini", "gemini_api_key"),
-    "openai": ("OpenAI", "openai_api_key"),
-    "openrouter": ("OpenRouter", "openrouter_api_key"),
-    "togetherai": ("TogetherAI", "together_ai_api_key"),
-    "vllm": ("VLLM", None),
-}
-PROTOCOLS = {
-    "responses": ("Responses", "/responses"),
-    "chat/completions": ("ChatCompletions", "/chat/completions"),
-    "messages": ("Messages", "/v1/messages"),
-}
-ROUTES = [
-    (provider, endpoint)
-    for provider in PROVIDERS
-    for endpoint in PROTOCOLS
-    if provider != "gemini" or endpoint == "chat/completions"
-]
-REQUEST_TYPES = {
-    "responses": OpenAIResponsesCreateRequest,
-    "chat/completions": OpenAIChatCompletionsCreateRequest,
-    "messages": AnthropicMessagesCreateRequest,
-}
-HOSTED_ROUTES = [route for route in ROUTES if route[0] not in {"openai", "anthropic", "vllm"}]
-EXPLICIT_DESTINATIONS = [("bedrock", endpoint) for endpoint in PROTOCOLS] + [
-    ("togetherai", "responses"),
-    ("togetherai", "messages"),
-]
-
-
-@pytest.mark.parametrize(("provider", "endpoint"), ROUTES)
-async def test_provider_protocol_selection_preserves_native_contract(
-    provider, endpoint, monkeypatch
-):
-    """Ensures every existing route selects its provider class and preserves URL, key, and SDK output."""
-    prefix, setting = PROVIDERS[provider]
-    suffix, path = PROTOCOLS[endpoint]
-    key = "configured-provider-key" if setting else "EMPTY"
-    if setting:
-        monkeypatch.setattr(ENV_CONFIG, setting, SecretStr(key))
-    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-openai-key")
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-anthropic-key")
-    monkeypatch.delenv("ANTHROPIC_AUTH_TOKEN", raising=False)
-    monkeypatch.delenv("ANTHROPIC_CUSTOM_HEADERS", raising=False)
-    monkeypatch.setenv("OPENAI_ORG_ID", "unrelated-organization")
-    monkeypatch.setenv("OPENAI_PROJECT_ID", "unrelated-project")
-    constructed = []
-    original_init = BaseClient.__init__
-
-    def observe_client(self, *args, **kwargs):
-        constructed.append(type(self))
-        original_init(self, *args, **kwargs)
-
-    monkeypatch.setattr(BaseClient, "__init__", observe_client)
-    recording = cassette(endpoint, False)
-    body = deepcopy(recording["request"]["body"])
-    body["stream"] = False
-    requests = []
-
-    def handler(request):
-        requests.append(request)
-        assert str(request.url) == "https://configured.example/prefix" + path
-        assert json_loads(request.content) == body
-        bearer = endpoint != "messages" or provider in {"bedrock", "openrouter"}
-        assert request.headers.get("authorization") == (f"Bearer {key}" if bearer else None)
-        assert request.headers.get("x-api-key") == (None if bearer else key)
-        assert "openai-organization" not in request.headers
-        assert "openai-project" not in request.headers
-        return response(recording)
-
-    async with Molto(
-        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    ) as molto:
-        result = await getattr(molto, endpoint.replace("/", "_"))(
-            body,
-            provider=provider,
-            endpoint=endpoint,
-            base_url="https://configured.example/prefix",
-            extra_headers={"Authorization": "inbound", "x-api-key": "inbound"},
-        )
-    assert [client.__name__ for client in constructed] == [f"{prefix}{suffix}Client"]
-    assert len(requests) == 1
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(lambda _: response(recording))
-    ) as transport:
-        if endpoint == "messages":
-            sdk = AsyncAnthropic(api_key="sdk-key", http_client=transport)
-            expected = await sdk.messages.create(**body)
-        else:
-            sdk = AsyncOpenAI(api_key="sdk-key", http_client=transport)
-            create = (
-                sdk.responses.create if endpoint == "responses" else sdk.chat.completions.create
-            )
-            expected = await create(**body)
-    assert result.model_dump() == expected.model_dump()
-
-
-@pytest.mark.parametrize("endpoint", ["responses", "messages"])
-async def test_gemini_rejects_other_protocols_before_http(endpoint):
-    """Ensures explicit provider classes do not imply Gemini supports another upstream protocol."""
-    async with Molto(
-        http_client=httpx.AsyncClient(
-            transport=httpx.MockTransport(
-                lambda _: pytest.fail("Unsupported Gemini protocol reached HTTP")
-            )
-        )
-    ) as molto:
-        with pytest.raises(ValueError, match="Gemini supports only"):
-            await molto.responses(
-                {"model": "example", "input": "Hi"},
-                provider="gemini",
-                endpoint=endpoint,
-                api_key="test-key",
-                base_url="https://configured.example",
-            )
-
-
-@pytest.mark.parametrize(("provider", "endpoint"), EXPLICIT_DESTINATIONS)
-async def test_provider_routes_still_require_explicit_destination(provider, endpoint):
-    """Ensures alternate Together and regional Bedrock routes cannot fall back to another service."""
-    async with Molto(
-        http_client=httpx.AsyncClient(
-            transport=httpx.MockTransport(
-                lambda _: pytest.fail("Unconfigured provider destination reached HTTP")
-            )
-        )
-    ) as molto:
-        with pytest.raises(ValueError, match="explicit"):
-            await molto.responses(
-                {"model": "example", "input": "Hi"},
-                provider=provider,
-                endpoint=endpoint,
-                api_key="test-key",
-            )
-
-
-@pytest.mark.parametrize(
-    ("provider", "endpoint", "base", "path"),
-    DESTINATIONS
-    + [
-        ("togetherai", "chat/completions", "https://api.together.ai/v1", "/chat/completions"),
-    ],
-)
-async def test_direct_hosted_clients_own_destination_and_authentication(
-    provider, endpoint, base, path, monkeypatch
-):
-    """Ensures directly constructed hosted clients retain their destination and isolated auth defaults."""
-    from molto.upstream.registry import CLIENTS
-
-    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-key")
-    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated-token")
-    monkeypatch.setenv(
-        "ANTHROPIC_CUSTOM_HEADERS", "authorization: unrelated\nX-API-KEY: unrelated"
-    )
-    recording = cassette(endpoint, False)
-    request = REQUEST_TYPES[endpoint].model_validate(recording["request"]["body"])
-    requests = []
-
-    def handler(request):
-        requests.append(request)
-        assert str(request.url) == base + path
-        bearer = endpoint != "messages" or provider in {"bedrock", "openrouter"}
-        assert request.headers.get("authorization") == ("Bearer selected-key" if bearer else None)
-        assert request.headers.get("x-api-key") == (None if bearer else "selected-key")
-        return response(recording)
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-        client = CLIENTS[provider, endpoint](
-            transport,
-            api_key="selected-key",
-            base_url=base if provider == "bedrock" else None,
-            capabilities=PROVIDER_CAPABILITIES[provider],
-        )
-        await client.native_response(request)
-    assert len(requests) == 1
-
-
-@pytest.mark.parametrize(("provider", "endpoint"), HOSTED_ROUTES)
-async def test_direct_hosted_clients_never_fall_back_to_other_credentials(
-    provider, endpoint, monkeypatch
-):
-    """Ensures hosted subclasses enforce their credential boundary without facade-supplied flags."""
-    from molto.upstream.registry import CLIENTS
-
-    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-key")
-    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated-token")
-    async with httpx.AsyncClient() as transport:
-        client = CLIENTS[provider, endpoint](
-            transport,
-            base_url="https://configured.example",
-            capabilities=PROVIDER_CAPABILITIES[provider],
-        )
-        error_type = TypeError if endpoint == "messages" else OpenAIError
-        with pytest.raises(error_type, match=PROVIDERS[provider][1].upper()):
-            if endpoint == "messages":
-                client._make_anthropic_client()
-            else:
-                client._make_sdk_client()
-
-
-@pytest.mark.parametrize(("provider", "endpoint"), EXPLICIT_DESTINATIONS)
-async def test_direct_provider_clients_require_their_destination(provider, endpoint):
-    """Ensures direct regional or alternative clients cannot send provider keys to canonical hosts."""
-    from molto.upstream.registry import CLIENTS
-
-    async with httpx.AsyncClient() as transport:
-        with pytest.raises(ValueError, match="explicit"):
-            CLIENTS[provider, endpoint](
-                transport, api_key="test-key", capabilities=PROVIDER_CAPABILITIES[provider]
-            )
diff --git a/tests/test_providers.py b/tests/test_providers.py
index 8b4b31a..d9cfbe8 100644
--- a/tests/test_providers.py
+++ b/tests/test_providers.py
@@ -40,7 +40,7 @@ def test_default_provider_is_separate_from_endpoint_selection() -> None:
 @pytest.mark.parametrize(
     ("provider", "base_url"),
     [
-        ("openai", "https://vllm.example"),
+        ("anthropic", "https://vllm.example"),
         ("vllm", "https://api.anthropic.com"),
     ],
 )
@@ -49,6 +49,7 @@ async def test_provider_selects_capabilities_independently_of_endpoint_and_base_
     provider: str,
     base_url: str,
 ) -> None:
+    """Ensures a supported provider selects capabilities independently of the destination."""
     captured: dict[str, object] = {}
 
     def stub_events(
diff --git a/tests/test_record_native_conversation.py b/tests/test_record_native_conversation.py
deleted file mode 100644
index 5bc10a8..0000000
--- a/tests/test_record_native_conversation.py
+++ /dev/null
@@ -1,195 +0,0 @@
-"""Offline checks of the standalone native Responses/Messages recording driver."""
-
-import argparse
-import json
-from pathlib import Path
-
-import httpx
-import pytest
-from anthropic import AsyncAnthropic
-from yaml import safe_load
-
-from scripts import record_native_conversation as driver
-from scripts import recorder_proxy
-
-
-@pytest.fixture
-def recording_args(monkeypatch, tmp_path):
-    """Ensure driver checks use a temporary output directory and controlled credentials."""
-    monkeypatch.setattr(driver, "load_dotenv", lambda **_: None)
-    monkeypatch.setenv("TEST_NATIVE_KEY", "native-test-key")
-    monkeypatch.delenv("ANTHROPIC_CUSTOM_HEADERS", raising=False)
-    return argparse.Namespace(
-        provider="fireworks",
-        protocol="responses",
-        key_env="TEST_NATIVE_KEY",
-        model="accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b",
-        base_url="https://api.fireworks.ai/inference/v1",
-        output_dir=tmp_path / "run",
-        scenario="text",
-        reasoning="none",
-        stream=False,
-        max_tokens=2048,
-        auth="api-key",
-        extra_body=None,
-    )
-
-
-@pytest.mark.parametrize("protocol", ["responses", "messages"])
-@pytest.mark.parametrize("stream", [False, True])
-@pytest.mark.parametrize("scenario", ["text", "tools"])
-@pytest.mark.parametrize("bearer", [False, True])
-async def test_native_driver_replays_exact_recorded_conversation(
-    monkeypatch, recording_args, protocol, stream, scenario, bearer
-):
-    """Ensures actual native SDK output yields each exact recorded next request and linked tool result."""
-    args = recording_args
-    args.protocol, args.stream, args.scenario = protocol, stream, scenario
-    if bearer:
-        args.auth = "bearer"
-        args.extra_body = {"provider": {"max_price": {"prompt": 0, "completion": 0}}}
-    monkeypatch.setenv("ANTHROPIC_API_KEY", "unrelated-api-key")
-    monkeypatch.setenv("ANTHROPIC_AUTH_TOKEN", "unrelated-token")
-    args.base_url = "https://api.fireworks.ai/inference" + (
-        "/v1" if protocol == "responses" else ""
-    )
-    mode = "stream" if stream else "nonstream"
-    group = (
-        Path(__file__).parent
-        / "cassettes/provider_recordings/2026-11-04"
-        / f"fireworks-{protocol}-{scenario}-{mode}-none"
-    )
-    manifest = json.loads((group / "manifest.json").read_text())
-    recordings = [safe_load((group / turn["files"][0]).read_text()) for turn in manifest["turns"]]
-    requests = []
-
-    def handler(request):
-        captured = recordings[len(requests)]
-        requests.append(json.loads(request.content))
-        assert requests[-1] == captured["request"]["body"] | (args.extra_body or {})
-        assert str(request.url) == manifest["upstream_url"]
-        if protocol == "responses":
-            assert request.headers["authorization"] == "Bearer native-test-key"
-            assert requests[-1]["store"] is False
-        else:
-            if bearer:
-                assert request.headers["authorization"] == "Bearer native-test-key"
-                assert "x-api-key" not in request.headers
-            else:
-                assert request.headers["x-api-key"] == "native-test-key"
-                assert "authorization" not in request.headers
-        result = captured["response"]
-        if "sse" in result:
-            return httpx.Response(
-                result["status_code"],
-                content="".join(result["sse"]),
-                headers={"content-type": "text/event-stream"},
-            )
-        return httpx.Response(
-            result["status_code"],
-            content=result["body_bytes"],
-            headers={"content-type": "application/json"},
-        )
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
-        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
-        assert await driver.record(args) == 0
-        assert upstream.is_closed
-    actual = json.loads((args.output_dir / "manifest.json").read_text())
-    assert actual["status"] == "complete"
-    assert actual["extra_body"] == args.extra_body
-    assert len(requests) == len(recordings)
-    assert all(
-        turn["status"] == "complete" and len(turn["files"]) == 1 for turn in actual["turns"]
-    )
-
-
-async def test_messages_driver_rejects_eof_without_message_stop(recording_args):
-    """Ensures end_turn without message_stop cannot certify a truncated native Messages stream."""
-    args = recording_args
-    args.protocol, args.stream = "messages", True
-    events = [
-        {
-            "type": "message_start",
-            "message": {
-                "id": "m",
-                "type": "message",
-                "role": "assistant",
-                "model": "m",
-                "content": [],
-                "stop_reason": None,
-                "stop_sequence": None,
-                "usage": {"input_tokens": 1, "output_tokens": 0},
-            },
-        },
-        {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}},
-        {
-            "type": "content_block_delta",
-            "index": 0,
-            "delta": {"type": "text_delta", "text": "Partial answer"},
-        },
-        {"type": "content_block_stop", "index": 0},
-        {
-            "type": "message_delta",
-            "delta": {"stop_reason": "end_turn", "stop_sequence": None},
-            "usage": {"output_tokens": 2},
-        },
-    ]
-    data = "".join(f"event: {event['type']}\ndata: {json.dumps(event)}\n\n" for event in events)
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(
-            lambda _: httpx.Response(200, text=data, headers={"content-type": "text/event-stream"})
-        )
-    ) as transport:
-        async with AsyncAnthropic(api_key="test", http_client=transport, max_retries=0) as client:
-            with pytest.raises(ValueError, match="exactly one message_stop"):
-                await driver.result_and_history(
-                    client,
-                    args,
-                    {
-                        "model": "m",
-                        "max_tokens": 10,
-                        "messages": [{"role": "user", "content": "Hi"}],
-                    },
-                )
-
-
-@pytest.mark.parametrize("stream", [False, True])
-async def test_native_driver_retains_incomplete_failure_manifest(
-    monkeypatch, recording_args, stream
-):
-    """Ensures incomplete Responses output retains its HTTP evidence and failed turn instead of successful history."""
-    args = recording_args
-    args.stream = stream
-    payload = {"id": "r", "object": "response", "status": "incomplete", "model": "m", "output": []}
-
-    def handler(request):
-        if stream:
-            data = {"type": "response.incomplete", "sequence_number": 0, "response": payload}
-            return httpx.Response(
-                200,
-                text="event: response.incomplete\ndata: " + json.dumps(data) + "\n\n",
-                headers={"content-type": "text/event-stream"},
-            )
-        return httpx.Response(200, json=payload)
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
-        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
-        assert await driver.record(args) == 1
-    manifest = json.loads((args.output_dir / "manifest.json").read_text())
-    assert manifest["status"] == manifest["turns"][0]["status"] == "incomplete"
-    assert manifest["failure"]["type"] == "ValueError"
-    assert len(manifest["turns"][0]["files"]) == 1
-    assert (args.output_dir / manifest["turns"][0]["files"][0]).exists()
-
-
-@pytest.mark.parametrize("header", ["Authorization", "x-api-key", "X-API-KEY"])
-async def test_native_driver_rejects_conflicting_auth_before_recording(
-    monkeypatch, recording_args, header
-):
-    """Ensures Anthropic custom headers cannot override the manifest's selected provider credential."""
-    recording_args.protocol = "messages"
-    monkeypatch.setenv("ANTHROPIC_CUSTOM_HEADERS", header + ": unrelated-key")
-    with pytest.raises(ValueError, match="ANTHROPIC_CUSTOM_HEADERS"):
-        await driver.record(recording_args)
-    assert not recording_args.output_dir.exists()
diff --git a/tests/test_record_provider_conversation.py b/tests/test_record_provider_conversation.py
deleted file mode 100644
index c52874f..0000000
--- a/tests/test_record_provider_conversation.py
+++ /dev/null
@@ -1,496 +0,0 @@
-"""Mocked native-SDK recording scenarios; no live provider calls or committed fixture writes."""
-
-import argparse
-import json
-from copy import deepcopy
-from hashlib import sha256
-from pathlib import Path
-
-import httpx
-import pytest
-from openai.types.chat import ChatCompletionMessage
-
-from scripts import record_provider_conversation as driver
-from scripts import recorder_proxy
-
-
-def tool_call(identity, a, b, **extra):
-    return {
-        "id": identity,
-        "type": "function",
-        "function": {"name": "add", "arguments": json.dumps({"a": a, "b": b})},
-        **extra,
-    }
-
-
-def completion(message, finish=None):
-    return {
-        "id": "chatcmpl-recording",
-        "object": "chat.completion",
-        "created": 1,
-        "model": "returned-model",
-        "choices": [
-            {
-                "index": 0,
-                "message": message,
-                "finish_reason": finish or ("tool_calls" if message.get("tool_calls") else "stop"),
-            }
-        ],
-    }
-
-
-def streaming_response(
-    message, finish=None, *, missing_index=False, repeat_extension=False, repeated_role=False
-):
-    delta = deepcopy(message)
-    for index, call in enumerate(delta.get("tool_calls") or []):
-        call["index"] = None if missing_index else index
-    deltas = [delta]
-    if repeated_role:
-        deltas = [
-            {"role": "assistant", "reasoning": " First"},
-            {"role": "assistant", "reasoning": " thought\n"},
-            delta,
-        ]
-    if repeat_extension:
-        deltas.append({"extra_content": deepcopy(message["extra_content"])})
-    chunks = []
-    for item in [*deltas, {}]:
-        chunk = {
-            "id": "chatcmpl-recording",
-            "object": "chat.completion.chunk",
-            "created": 1,
-            "model": "returned-model",
-            "choices": [{"index": 0, "delta": item, "finish_reason": None}],
-        }
-        if not item:
-            chunk["choices"][0]["finish_reason"] = finish or (
-                "tool_calls" if message.get("tool_calls") else "stop"
-            )
-        chunks.append("data: " + json.dumps(chunk) + "\n\n")
-    return httpx.Response(
-        200,
-        text="".join(chunks) + "data: [DONE]\n\n",
-        headers={"content-type": "text/event-stream"},
-    )
-
-
-@pytest.fixture
-def recording_args(monkeypatch, tmp_path):
-    """Isolate provider credentials and staging from the developer environment."""
-    monkeypatch.setattr(driver, "load_dotenv", lambda **_: None)
-    monkeypatch.setenv("TEST_RECORDING_KEY", "test-provider-credential")
-    return argparse.Namespace(
-        key_env="TEST_RECORDING_KEY",
-        provider="synthetic",
-        model="requested-model",
-        base_url="https://provider.test/prefix/v1",
-        output_dir=tmp_path / "run",
-        scenario="text",
-        stream=False,
-        max_tokens=512,
-        extra_body=None,
-    )
-
-
-async def run_recording(monkeypatch, args, messages, **stream_options):
-    requests = []
-
-    def handler(request):
-        assert str(request.url) == "https://provider.test/prefix/v1/chat/completions"
-        assert request.headers["authorization"] == "Bearer test-provider-credential"
-        requests.append(json.loads(request.content))
-        message = messages[len(requests) - 1]
-        if args.stream:
-            return streaming_response(message, **stream_options)
-        return httpx.Response(200, json=completion(message))
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as upstream:
-        monkeypatch.setattr(recorder_proxy, "HTTP_CLIENT", upstream)
-        code = await driver.record(args)
-        assert upstream.is_closed
-    return code, json.loads((args.output_dir / "manifest.json").read_text()), requests
-
-
-@pytest.mark.parametrize("stream", [False, True])
-@pytest.mark.parametrize("scenario", ["text", "tools", "parallel"])
-async def test_complete_native_conversations_carry_actual_history(
-    monkeypatch, recording_args, stream, scenario
-):
-    """Ensures SDK output, reasoning, opaque state, calls, and actual linked results reach later turns."""
-    args = recording_args
-    args.stream, args.scenario = stream, scenario
-    opaque = {"google": {"thought_signature": "opaque-message"}}
-    first = {
-        "role": "assistant",
-        "content": "Keep  exact\nwording",
-        "reasoning": " Think\n ",
-        "extra_content": opaque,
-    }
-    messages = [first, {"role": "assistant", "content": "Final  text."}]
-    if scenario != "text":
-        first["tool_calls"] = [
-            tool_call(
-                "call-one",
-                2,
-                3,
-                extra_content={"google": {"thought_signature": "opaque-call-one"}},
-            )
-        ]
-        if scenario == "parallel":
-            first["tool_calls"].append(
-                tool_call(
-                    "call-two",
-                    7,
-                    4,
-                    extra_content={"google": {"thought_signature": "opaque-call-two"}},
-                )
-            )
-        else:
-            messages.insert(
-                1,
-                {
-                    "role": "assistant",
-                    "content": None,
-                    "tool_calls": [tool_call("call-two", 5, 4)],
-                },
-            )
-    code, manifest, requests = await run_recording(monkeypatch, args, messages)
-
-    assert code == 0
-    assert manifest["status"] == "complete"
-    assert len(requests) == (3 if scenario == "tools" else 2)
-    for turn, info in enumerate(manifest["turns"]):
-        assert info["status"] == "complete"
-        assert info["returned_model"] == "returned-model"
-        assert len(info["files"]) == 1
-        assert (args.output_dir / info["files"][0]).exists()
-        assert requests[turn]["stream"] is stream
-    expected_first = deepcopy(first)
-    if stream:
-        # The pinned SDK's snapshot explicitly materializes these null placeholders.
-        for field in ("refusal", "tool_calls"):
-            expected_first.setdefault(field, None)
-    assert requests[1]["messages"][1] == expected_first
-    if scenario == "text":
-        assert len(requests[0]["messages"][0]["content"]) == 2
-        assert len(requests[1]["messages"][-1]["content"]) == 2
-    else:
-        assert requests[1]["messages"][2] == {
-            "role": "tool",
-            "tool_call_id": "call-one",
-            "content": "5",
-        }
-        if scenario == "parallel":
-            assert requests[0]["parallel_tool_calls"] is True
-            assert requests[0]["tool_choice"] == "required"
-            assert requests[1]["tool_choice"] == "none"
-            assert requests[1]["messages"][3] == {
-                "role": "tool",
-                "tool_call_id": "call-two",
-                "content": "11",
-            }
-        else:
-            expected_second = deepcopy(messages[1])
-            if stream:
-                for field in ("refusal",):
-                    expected_second.setdefault(field, None)
-            assert requests[2]["messages"][3] == expected_second
-            assert requests[2]["messages"][4] == {
-                "role": "tool",
-                "tool_call_id": "call-two",
-                "content": "9",
-            }
-    assert manifest["source_hashes"] == {
-        "driver_sha256": sha256(Path(driver.__file__).read_bytes()).hexdigest(),
-        "recorder_sha256": sha256(Path(recorder_proxy.__file__).read_bytes()).hexdigest(),
-    }
-    assert set(manifest["versions"]) == {"openai", "anthropic", "httpx"}
-    assert manifest["upstream_url"] == args.base_url + "/chat/completions"
-    assert manifest["sdk_retries"] == manifest["proxy_retries"] == 0
-
-
-@pytest.mark.parametrize(
-    ("scenario", "messages", "expected_requests"),
-    [
-        ("tools", [{"role": "assistant", "content": "No tool."}], 1),
-        (
-            "tools",
-            [
-                {"role": "assistant", "tool_calls": [tool_call("first", 2, 3)]},
-                {"role": "assistant", "content": "Skipped second call."},
-            ],
-            2,
-        ),
-        ("parallel", [{"role": "assistant", "tool_calls": [tool_call("first", 2, 3)]}], 1),
-        (
-            "parallel",
-            [
-                {
-                    "role": "assistant",
-                    "tool_calls": [tool_call("same", 2, 3), tool_call("same", 7, 4)],
-                }
-            ],
-            1,
-        ),
-        ("tools", [{"role": "assistant", "tool_calls": [tool_call("first", 2, 9)]}], 1),
-        ("text", [{"role": "assistant", "content": ""}], 1),
-    ],
-)
-async def test_incomplete_scenarios_remain_failed_evidence(
-    monkeypatch, recording_args, scenario, messages, expected_requests
-):
-    """Ensures missing calls, wrong arguments, duplicate identities, or empty answers cannot certify a scenario."""
-    recording_args.scenario = scenario
-    code, manifest, requests = await run_recording(monkeypatch, recording_args, messages)
-    assert code == 1
-    assert manifest["status"] == "incomplete"
-    assert manifest["failure"]["type"] == "ValueError"
-    assert manifest["failure"]["traceback"]
-    assert len(requests) == expected_requests
-    assert manifest["turns"][-1]["status"] == "incomplete"
-    assert len(manifest["turns"][-1]["files"]) == 1
-
-
-@pytest.mark.parametrize("missing_index", [False, True])
-async def test_sdk_accumulation_failures_retain_original_capture(
-    monkeypatch, recording_args, missing_index
-):
-    """Ensures missing indices or corrupted opaque snapshots fail without repairing provider output."""
-    args = recording_args
-    args.stream = True
-    args.scenario = "tools" if missing_index else "text"
-    message = {
-        "role": "assistant",
-        "content": "Answer",
-        "extra_content": {"google": {"thought_signature": "opaque"}},
-    }
-    if missing_index:
-        message["tool_calls"] = [tool_call("first", 2, 3)]
-    code, manifest, requests = await run_recording(
-        monkeypatch,
-        args,
-        [message],
-        missing_index=missing_index,
-        repeat_extension=not missing_index,
-    )
-    assert code == 1
-    assert manifest["status"] == "incomplete"
-    assert len(requests) == 1
-    assert len(manifest["turns"][0]["files"]) == 1
-    assert manifest["failure"]["type"] in {"TypeError", "ValueError"}
-
-
-def test_history_cleanup_preserves_populated_metadata_and_source():
-    """Ensures bookkeeping removal does not erase populated annotations, opaque state, or mutate SDK output."""
-    source = ChatCompletionMessage.model_validate(
-        {
-            "role": "assistant",
-            "content": "Answer",
-            "parsed": {"internal": True},
-            "annotations": [
-                {
-                    "type": "url_citation",
-                    "url_citation": {
-                        "url": "https://example.test",
-                        "title": "Example",
-                        "start_index": 0,
-                        "end_index": 6,
-                    },
-                }
-            ],
-            "tool_calls": [
-                {
-                    "index": 0,
-                    **tool_call(
-                        "call", 2, 3, extra_content={"google": {"thought_signature": "signature"}}
-                    ),
-                }
-            ],
-        }
-    )
-    before = source.model_dump(exclude_unset=True)
-    history = driver.assistant_history(source)
-    assert "parsed" not in history
-    assert "index" not in history["tool_calls"][0]
-    assert history["annotations"] == before["annotations"]
-    assert history["tool_calls"][0]["extra_content"] == before["tool_calls"][0]["extra_content"]
-    assert source.model_dump(exclude_unset=True) == before
-
-
-async def test_manifest_masks_configured_key_and_keeps_settings(monkeypatch, recording_args):
-    """Ensures persisted provider settings cannot echo the configured authentication credential."""
-    recording_args.extra_body = {
-        "reasoning": {"enabled": False},
-        "test_echo": "test-provider-credential",
-    }
-    messages = [
-        {"role": "assistant", "content": "First."},
-        {"role": "assistant", "content": "Second."},
-    ]
-    code, manifest, _ = await run_recording(monkeypatch, recording_args, messages)
-    assert code == 0
-    assert manifest["extra_body"] == {"reasoning": {"enabled": False}, "test_echo": "***"}
-    assert (
-        "test-provider-credential" not in (recording_args.output_dir / "manifest.json").read_text()
-    )
-
-
-@pytest.mark.parametrize("finish_reason", ["length", "tool_calls"])
-def test_text_turn_requires_successful_text_termination(finish_reason):
-    """Ensures incomplete or tool-terminated text cannot be labeled a completed text turn."""
-    with pytest.raises(ValueError, match="complete"):
-        driver.validate_turn(
-            {"role": "assistant", "content": "Partial text"}, finish_reason, "text", 0
-        )
-
-
-def test_final_tool_turn_rejects_unresolved_calls():
-    """Ensures a third sequential turn with another tool call is retained as incomplete evidence."""
-    with pytest.raises(ValueError, match="number"):
-        driver.validate_turn(
-            {"role": "assistant", "tool_calls": [tool_call("third", 9, 1)]},
-            "tool_calls",
-            "tools",
-            2,
-        )
-
-
-async def test_repeated_role_snapshots_preserve_original_recording_and_history(
-    monkeypatch, recording_args
-):
-    """Ensures demonstrated Together role repetition reconstructs one assistant without editing evidence."""
-    args = recording_args
-    args.stream = True
-    messages = [
-        {"role": "assistant", "content": "Actual first answer."},
-        {"role": "assistant", "content": "Actual second answer."},
-    ]
-    code, manifest, requests = await run_recording(monkeypatch, args, messages, repeated_role=True)
-    assert code == 0
-    assert requests[1]["messages"][1]["role"] == "assistant"
-    assert requests[1]["messages"][1]["content"] == messages[0]["content"]
-    assert requests[1]["messages"][1]["reasoning"] == " First thought\n"
-    assert "role snapshots omitted on copies" in manifest["accumulation_policy"]
-    from yaml import safe_load
-
-    capture = safe_load((args.output_dir / manifest["turns"][0]["files"][0]).read_text())
-    assert "".join(capture["response"]["sse"]).count('"role": "assistant"') == 3
-
-
-def test_accumulation_rejects_changing_roles_without_mutating_chunks():
-    """Ensures reconstruction only removes identical role snapshots and rejects identity changes."""
-    from openai.types.chat import ChatCompletionChunk
-
-    original = ChatCompletionChunk.model_validate(
-        {
-            "id": "chat",
-            "created": 1,
-            "model": "m",
-            "object": "chat.completion.chunk",
-            "choices": [
-                {
-                    "index": 0,
-                    "delta": {"role": "assistant", "content": "text"},
-                    "finish_reason": None,
-                }
-            ],
-        }
-    )
-    before = original.model_dump()
-    copy = driver.accumulation_chunk(original, {0: "assistant"})
-    assert "role" not in copy.choices[0].delta.model_dump(exclude_unset=True)
-    assert original.model_dump() == before
-    with pytest.raises(ValueError, match="changed the role"):
-        driver.accumulation_chunk(original, {0: "user"})
-
-
-@pytest.mark.parametrize("field", ["annotations", "audio", "function_call"])
-@pytest.mark.parametrize("emitted", [False, True])
-def test_history_omits_only_unemitted_sdk_null_bookkeeping(field, emitted):
-    """Ensures only absent SDK-created nulls are removed and native emitted nulls remain unchanged."""
-    from openai.types.chat import ChatCompletionMessage
-
-    message = ChatCompletionMessage.model_validate(
-        {
-            "role": "assistant",
-            "content": "Answer",
-            "annotations": None,
-            "audio": None,
-            "function_call": None,
-        }
-    )
-    original = message.model_dump()
-    delta = {"role": "assistant", "content": "Answer"}
-    if emitted:
-        delta[field] = None
-    history = driver.assistant_history(message, [{"choices": [{"index": 0, "delta": delta}]}])
-    assert (field in history) is emitted
-    if emitted:
-        assert history[field] is None
-    assert message.model_dump() == original
-    assert field in driver.assistant_history(message)
-
-
-def test_reasoning_detail_verification_rejects_sdk_metadata_concatenation():
-    """Ensures repeated detail metadata cannot be silently corrupted in actual SDK history."""
-    from openai.lib.streaming.chat import ChatCompletionStreamState
-    from openai.types.chat import ChatCompletionChunk
-
-    state = ChatCompletionStreamState()
-    events = []
-    for text in ("First ", "thought."):
-        event = ChatCompletionChunk.model_validate(
-            {
-                "id": "chat",
-                "created": 1,
-                "model": "m",
-                "object": "chat.completion.chunk",
-                "choices": [
-                    {
-                        "index": 0,
-                        "delta": {
-                            "reasoning_details": [
-                                {
-                                    "index": 0,
-                                    "type": "reasoning.text",
-                                    "format": "unknown",
-                                    "text": text,
-                                }
-                            ]
-                        },
-                        "finish_reason": None,
-                    }
-                ],
-            }
-        )
-        events.append(event.model_dump(exclude_unset=True))
-        state.handle_chunk(event)
-    history = state.current_completion_snapshot.choices[0].message.model_dump(exclude_unset=True)
-    assert history["reasoning_details"][0]["format"] == "unknownunknown"
-    with pytest.raises(ValueError, match="changed reasoning_details"):
-        driver.verify_accumulation(events, history)
-    correct = deepcopy(history)
-    correct["reasoning_details"][0]["format"] = "unknown"
-    driver.verify_accumulation(events, correct)
-    assert history["reasoning_details"][0]["format"] == "unknownunknown"
-
-
-def test_reasoning_detail_verification_rejects_unverifiable_opaque_shape():
-    """Ensures encrypted payloads are not certified using invented concatenation semantics."""
-    events = [
-        {
-            "choices": [
-                {
-                    "index": 0,
-                    "delta": {
-                        "reasoning_details": [
-                            {"index": 0, "type": "reasoning.encrypted", "data": "opaque"}
-                        ]
-                    },
-                }
-            ]
-        }
-    ]
-    with pytest.raises(ValueError, match="Cannot independently verify"):
-        driver.verify_accumulation(events, {})
diff --git a/tests/test_together.py b/tests/test_together.py
deleted file mode 100644
index b1dd4d8..0000000
--- a/tests/test_together.py
+++ /dev/null
@@ -1,519 +0,0 @@
-"""Replay and synthetic coverage for Together's explicitly selected Chat dialect."""
-
-from copy import deepcopy
-from json import dumps, loads
-from pathlib import Path
-
-import httpx
-import pytest
-from openai import APIStatusError, AsyncOpenAI, BadRequestError, OpenAIError
-from openai import AuthenticationError as SDKAuthenticationError
-from pydantic import SecretStr
-
-from molto import Molto
-from molto.adapters.openai import OpenAIChatCompletionsAdapter
-from molto.configs import ENV_CONFIG
-from molto.providers import PROVIDER_CAPABILITIES
-from molto.types.exceptions import ContextLengthExceededError, ModelNotFoundError, UnsupportedInput
-from molto.types.normalized import (
-    AssistantInput,
-    NormalizedRequest,
-    PartEndEvent,
-    PartStartEvent,
-    TextOutput,
-    Thinking,
-    ToolCall,
-)
-from molto.types.openai_chat_completions import OpenAIChatCompletionsCreateRequest
-from molto.upstream.openai import OpenAIChatCompletionsClient
-from molto.upstream.together import TogetherAIChatCompletionsClient
-from molto.utils.io import read_yaml
-
-CAPABILITIES = PROVIDER_CAPABILITIES["togetherai"]
-CASSETTES = Path(__file__).parent / "cassettes" / "matched"
-
-
-def _chunk(delta, finish_reason=None):
-    return {
-        "id": "chatcmpl_synthetic",
-        "object": "chat.completion.chunk",
-        "created": 1,
-        "model": "synthetic",
-        "choices": [{"index": 0, "delta": delta, "finish_reason": finish_reason}],
-    }
-
-
-def _stream(*chunks):
-    return httpx.Response(
-        200,
-        text="".join(f"data: {dumps(chunk)}\n\n" for chunk in chunks) + "data: [DONE]\n\n",
-        headers={"content-type": "text/event-stream"},
-    )
-
-
-@pytest.mark.parametrize("stream", [False, True])
-@pytest.mark.parametrize("base_url", [None, "https://custom.example/prefix"])
-@pytest.mark.parametrize("explicit_key", [None, "explicit-together-key"])
-async def test_together_native_cassette_sdk_parity(monkeypatch, stream, base_url, explicit_key):
-    """Ensures native Together routing retains independent SDK-parsed matched fixture output."""
-    # These are existing OpenAI matched fixtures, not evidence of live Together support.
-    mode = "stream" if stream else "non_stream"
-    cassette = read_yaml(CASSETTES / "simple_text" / f"openai-chat_completions-{mode}-00.yaml")
-    expected_body = {**cassette["request"]["body"], "reasoning": {"enabled": False}}
-    monkeypatch.setattr(ENV_CONFIG, "together_ai_api_key", SecretStr("configured-together-key"))
-    key = explicit_key or "configured-together-key"
-    requests = []
-
-    def handler(request):
-        requests.append(request)
-        assert request.method == "POST"
-        assert str(request.url) == (base_url or "https://api.together.ai/v1") + "/chat/completions"
-        assert request.headers["authorization"] == f"Bearer {key}"
-        assert "openai-organization" not in request.headers
-        assert "openai-project" not in request.headers
-        assert loads(request.content) == expected_body
-        if stream:
-            return httpx.Response(
-                200,
-                text="".join(cassette["response"]["sse"]),
-                headers={"content-type": "text/event-stream", "x-provider": "together"},
-            )
-        return httpx.Response(200, json=cassette["response"]["body"])
-
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-        sdk = AsyncOpenAI(
-            api_key=key, base_url=base_url or "https://api.together.ai/v1", http_client=transport
-        )
-        expected = await sdk.chat.completions.create(
-            **cassette["request"]["body"], extra_body={"reasoning": {"enabled": False}}
-        )
-        if stream:
-            async with expected:
-                expected = [event.model_dump() async for event in expected]
-        else:
-            expected = expected.model_dump()
-        client = Molto(http_client=transport)
-        actual = await client.chat_completions(
-            body=cassette["request"]["body"],
-            provider="togetherai",
-            base_url=base_url,
-            api_key=explicit_key,
-            extra_body={"reasoning": {"enabled": False}},
-            extra_headers={"authorization": "Bearer unrelated", "openai-project": "unrelated"},
-        )
-        if stream:
-            assert actual.response_headers["x-provider"] == "together"
-            actual = [event.model_dump() async for event in actual]
-        else:
-            actual = actual.model_dump()
-        assert actual == expected
-    assert len(requests) == 2
-
-
-@pytest.mark.parametrize("stream", [False, True])
-@pytest.mark.parametrize("coordinator", ["responses", "chat_completions", "messages"])
-@pytest.mark.parametrize("api_key", [None, ""])
-async def test_missing_together_key_never_uses_openai_credentials(
-    monkeypatch, stream, coordinator, api_key
-):
-    """Ensures all downstream routes reject missing Together credentials before HTTP."""
-    monkeypatch.setattr(ENV_CONFIG, "together_ai_api_key", SecretStr(""))
-    monkeypatch.setenv("OPENAI_API_KEY", "unrelated-key")
-    monkeypatch.setenv("OPENAI_ADMIN_KEY", "unrelated-admin-key")
-    requests = []
-
-    def handler(request):
-        requests.append(request)
-        raise AssertionError("Missing credentials must fail locally")
-
-    body = {"model": "synthetic", "stream": stream}
-    if coordinator == "responses":
-        body["input"] = "Hello"
-    else:
-        body["messages"] = [{"role": "user", "content": "Hello"}]
-    if coordinator == "messages":
-        body["max_tokens"] = 32
-    async with Molto(
-        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    ) as client:
-        # Messages projects into Anthropic's namespace, the OpenAI interfaces into OpenAI's.
-        from anthropic import AuthenticationError as AnthropicAuthenticationError
-
-        error_class = (
-            AnthropicAuthenticationError if coordinator == "messages" else SDKAuthenticationError
-        )
-        with pytest.raises(error_class, match="TOGETHER_AI_API_KEY") as error:
-            await getattr(client, coordinator)(
-                body=body, endpoint="chat/completions", provider="togetherai", api_key=api_key
-            )
-        assert str(error.value.request.url) == "https://api.together.ai/v1/chat/completions"
-        assert isinstance(error.value.__cause__.__cause__, OpenAIError)
-    assert requests == []
-
-
-@pytest.mark.parametrize(
-    ("fields", "expected"),
-    [
-        ({"reasoning": "  first\n"}, ["  first\n"]),
-        ({"reasoning": ["", " second ", ""]}, ["", " second ", ""]),
-        ({"reasoning": []}, []),
-        ({"reasoning": ""}, [""]),
-        ({"reasoning": "", "reasoning_content": "other"}, ["other"]),
-        ({"reasoning": [], "reasoning_content": "other"}, ["other"]),
-        ({"reasoning": [""], "reasoning_content": ""}, [""]),
-    ],
-)
-def test_reasoning_alias_normalization_and_history(fields, expected):
-    """Ensures ordered reasoning blocks and empty boundaries survive normalized history."""
-    request = OpenAIChatCompletionsCreateRequest(
-        model="synthetic", messages=[{"role": "assistant", "content": None, **fields}]
-    )
-    normalized = OpenAIChatCompletionsAdapter(CAPABILITIES).normalize_request(request)
-    assert normalized.input == [
-        AssistantInput(content=[Thinking(content=part, summary="") for part in expected])
-    ]
-    body = TogetherAIChatCompletionsClient._request_body(normalized)
-    message = body["messages"][0]
-    assert message.get("reasoning") == ("\n".join(expected) if expected else None)
-    assert "reasoning_content" not in message
-    assert request.model_dump()["messages"][0] == {"role": "assistant", "content": None, **fields}
-
-
-@pytest.mark.parametrize("reasoning", ["one", [""]])
-def test_reasoning_alias_collision_is_rejected(reasoning):
-    """Ensures populated alternate representations never silently override each other."""
-    request = OpenAIChatCompletionsCreateRequest(
-        model="synthetic",
-        messages=[{"role": "assistant", "reasoning": reasoning, "reasoning_content": "two"}],
-    )
-    with pytest.raises(UnsupportedInput, match="both reasoning aliases"):
-        OpenAIChatCompletionsAdapter(CAPABILITIES).normalize_request(request)
-
-
-@pytest.mark.parametrize("following", [{"content": "\n\n"}, {"reasoning": " think "}])
-async def test_tool_lifecycle_closes_before_following_content(following):
-    """Ensures actual nonempty content finishes the preceding call before starting a new part."""
-    first = {
-        "index": 0,
-        "id": "call_1",
-        "type": "function",
-        "function": {"name": "lookup", "arguments": "{"},
-    }
-    chunks = [
-        _chunk({"tool_calls": [first]}),
-        _chunk(
-            {
-                "content": "",
-                "reasoning": "",
-                "tool_calls": [{"index": 0, "function": {"arguments": "}"}}],
-            }
-        ),
-        _chunk(following),
-        _chunk({}, "tool_calls"),
-    ]
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(lambda _: _stream(*chunks))
-    ) as transport:
-        client = TogetherAIChatCompletionsClient(
-            transport, capabilities=CAPABILITIES, api_key="test"
-        )
-        events = [
-            event
-            async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
-        ]
-    starts = [event for event in events if isinstance(event, PartStartEvent)]
-    ends = [event for event in events if isinstance(event, PartEndEvent)]
-    assert [event.index for event in starts] == [0, 1]
-    assert [event.index for event in ends] == [0, 1]
-    assert ends[0].part == ToolCall(tool_call_id="call_1", tool_name="lookup", args="{}")
-    assert events.index(ends[0]) < events.index(starts[1])
-    assert ends[1].part == (
-        TextOutput(content="\n\n")
-        if "content" in following
-        else Thinking(content=" think ", summary="")
-    )
-
-
-@pytest.mark.parametrize(
-    "following",
-    [
-        {"content": "text"},
-        {"reasoning": "think"},
-        {
-            "tool_calls": [
-                {"index": 1, "id": "call_2", "function": {"name": "second", "arguments": "{}"}}
-            ]
-        },
-    ],
-)
-async def test_closed_tool_call_cannot_resume(following):
-    """Ensures intervening text, reasoning, or another call makes later fragments fail explicitly."""
-    chunks = [
-        _chunk(
-            {
-                "tool_calls": [
-                    {"index": 0, "id": "call_1", "function": {"name": "first", "arguments": "{"}}
-                ]
-            }
-        ),
-        _chunk(following),
-        _chunk({"tool_calls": [{"index": 0, "function": {"arguments": "}"}}]}),
-        _chunk({}, "stop"),
-    ]
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(lambda _: _stream(*chunks))
-    ) as transport:
-        client = TogetherAIChatCompletionsClient(
-            transport, capabilities=CAPABILITIES, api_key="test"
-        )
-        with pytest.raises(ValueError, match="contiguous"):
-            [
-                event
-                async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
-            ]
-
-
-@pytest.mark.parametrize(
-    ("sdk_type", "body", "normalized_type"),
-    [
-        (
-            BadRequestError,
-            {
-                "message": "Input is longer than the model's context length",
-                "code": "invalid_request",
-            },
-            ContextLengthExceededError,
-        ),
-        (
-            APIStatusError,
-            {"message": "Unavailable", "code": "model_not_available"},
-            ModelNotFoundError,
-        ),
-    ],
-)
-def test_together_semantic_error_recognition_is_provider_specific(sdk_type, body, normalized_type):
-    """Ensures Together-only signals retain original SDK evidence without changing OpenAI classification."""
-    response = httpx.Response(
-        400,
-        json=body,
-        request=httpx.Request("POST", "https://api.together.ai/v1/chat/completions"),
-    )
-    original = sdk_type(body["message"], response=response, body=body)
-    client = TogetherAIChatCompletionsClient(None, capabilities=CAPABILITIES, api_key="test")
-    with pytest.raises(normalized_type) as error:
-        client._handle_error(original)
-    assert error.value.__cause__ is original
-    assert error.value.response is response
-    assert error.value.body == body
-    openai_client = OpenAIChatCompletionsClient(None, capabilities=CAPABILITIES, api_key="test")
-    with pytest.raises(sdk_type) as unchanged:
-        openai_client._handle_error(original)
-    assert unchanged.value is original
-
-
-@pytest.mark.parametrize("placement", ["message", "part", "call"])
-def test_translated_history_rejects_google_state(placement):
-    """Ensures opaque native continuation state is rejected instead of dropped in translation."""
-    message = {
-        "role": "assistant",
-        "content": [{"type": "text", "text": "hello"}],
-        "tool_calls": [
-            {"id": "call_1", "type": "function", "function": {"name": "lookup", "arguments": "{}"}}
-        ],
-    }
-    extension = {"google": {"thought_signature": "opaque"}}
-    target = (
-        message
-        if placement == "message"
-        else message["content"][0]
-        if placement == "part"
-        else message["tool_calls"][0]
-    )
-    target["extra_content"] = extension
-    original = deepcopy(message)
-    request = OpenAIChatCompletionsCreateRequest(model="synthetic", messages=[message])
-    with pytest.raises(UnsupportedInput, match="extra_content"):
-        OpenAIChatCompletionsAdapter(CAPABILITIES).normalize_request(request)
-    assert message == original
-
-
-@pytest.mark.parametrize("placement", ["message", "call"])
-@pytest.mark.parametrize("coordinator", ["responses", "messages"])
-@pytest.mark.parametrize("stream", [False, True])
-async def test_translated_output_rejects_google_state_and_closes(placement, coordinator, stream):
-    """Ensures unsupported output state fails explicitly and releases the upstream stream."""
-    delta = {
-        "tool_calls": [
-            {"index": 0, "id": "call_1", "function": {"name": "lookup", "arguments": "{}"}}
-        ]
-    }
-    target = delta if placement == "message" else delta["tool_calls"][0]
-    target["extra_content"] = {"google": {"thought_signature": "opaque"}}
-    responses = []
-
-    def handler(request):
-        response = _stream(_chunk(delta), _chunk({}, "tool_calls"))
-        responses.append(response)
-        return response
-
-    body = {"model": "synthetic", "stream": stream}
-    if coordinator == "responses":
-        body["input"] = "Hello"
-    else:
-        body.update(messages=[{"role": "user", "content": "Hello"}], max_tokens=32)
-    async with Molto(
-        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    ) as client:
-        with pytest.raises(ValueError, match="extra_content"):
-            result = await getattr(client, coordinator)(
-                body=body, endpoint="chat/completions", provider="togetherai", api_key="test"
-            )
-            if stream:
-                async with result:
-                    [event async for event in result]
-        assert responses[0].is_closed
-
-
-@pytest.mark.parametrize(
-    "part",
-    [
-        Thinking(content="", summary="summary"),
-        Thinking(content="", summary="", signature="opaque"),
-    ],
-)
-def test_chat_projection_rejects_nonportable_reasoning(part):
-    """Ensures Chat history never converts summaries or signatures into unsigned raw text."""
-    request = NormalizedRequest(model="synthetic", input=[AssistantInput(content=[part])])
-    for client in (OpenAIChatCompletionsClient, TogetherAIChatCompletionsClient):
-        with pytest.raises(UnsupportedInput, match="cannot represent"):
-            client._request_body(request)
-
-
-@pytest.mark.parametrize(
-    "error",
-    [
-        ValueError("is longer than the model's context length"),
-        OpenAIError("is longer than the model's context length"),
-    ],
-)
-def test_together_context_recognition_requires_sdk_bad_request(error):
-    """Ensures unrelated exception classes are never reclassified by a matching message."""
-    client = TogetherAIChatCompletionsClient(None, capabilities=CAPABILITIES, api_key="test")
-    with pytest.raises(type(error)) as result:
-        client._handle_error(error)
-    assert result.value is error
-
-
-async def test_generic_chat_missing_index_fails_instead_of_losing_call():
-    """Ensures unsupported missing indices cannot produce a successful empty translated response."""
-    chunk = _chunk(
-        {
-            "tool_calls": [
-                {"index": None, "id": "call_1", "function": {"name": "lookup", "arguments": "{}"}}
-            ]
-        }
-    )
-    async with httpx.AsyncClient(
-        transport=httpx.MockTransport(lambda _: _stream(chunk, _chunk({}, "tool_calls")))
-    ) as transport:
-        client = OpenAIChatCompletionsClient(transport, capabilities=CAPABILITIES, api_key="test")
-        with pytest.raises(ValueError, match="require an index"):
-            [
-                event
-                async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
-            ]
-
-
-@pytest.mark.parametrize("coordinator", ["responses", "messages"])
-@pytest.mark.parametrize("stream", [False, True])
-async def test_together_alternative_reasoning_field_rejects_without_silent_loss(
-    coordinator, stream
-):
-    """Ensures a model using a different reasoning dialect cannot silently lose its reasoning."""
-    body = {"model": "synthetic", "stream": stream}
-    if coordinator == "responses":
-        body["input"] = "Hello"
-    else:
-        body.update(messages=[{"role": "user", "content": "Hello"}], max_tokens=32)
-    transport = httpx.AsyncClient(
-        transport=httpx.MockTransport(
-            lambda _: _stream(
-                _chunk({"reasoning_content": "actual alternate reasoning", "content": "Answer"}),
-                _chunk({}, "stop"),
-            )
-        )
-    )
-    async with Molto(http_client=transport) as client:
-        with pytest.raises(ValueError, match="reasoning_content.*reasoning.*dialect"):
-            result = await getattr(client, coordinator)(
-                body=body, endpoint="chat/completions", provider="togetherai", api_key="test"
-            )
-            if stream:
-                async with result:
-                    [event async for event in result]
-
-
-@pytest.mark.parametrize("coordinator", ["responses", "messages"])
-@pytest.mark.parametrize("stream", [False, True])
-async def test_recorded_together_qwen_alternate_dialect_fails_explicitly(coordinator, stream):
-    """Ensures the captured Qwen reasoning_content dialect fails without discarding reasoning."""
-    root = (
-        Path(__file__).parent
-        / "cassettes"
-        / "provider_recordings"
-        / "2026-11-03"
-        / "together-text-stream"
-    )
-    paths = list(root.glob("*.yaml"))
-    assert len(paths) == 1
-    cassette = read_yaml(paths[0])
-    recorded = cassette["request"]["body"]
-    responses = []
-
-    def handler(request):
-        response = httpx.Response(
-            200,
-            text="".join(cassette["response"]["sse"]),
-            headers={"content-type": "text/event-stream"},
-        )
-        responses.append(response)
-        return response
-
-    # Parse the source independently first; the actual model emits the alternative key.
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as transport:
-        sdk = AsyncOpenAI(api_key="test", http_client=transport)
-        native = await sdk.chat.completions.create(**recorded)
-        async with native:
-            events = [event async for event in native]
-    assert any(
-        getattr(choice.delta, "reasoning_content", None)
-        for event in events
-        for choice in event.choices
-    )
-    body = {"model": recorded["model"], "stream": stream}
-    if coordinator == "responses":
-        body.update(
-            input=[
-                {
-                    "role": message["role"],
-                    "content": [
-                        {"type": "input_text", "text": part["text"]} for part in message["content"]
-                    ],
-                }
-                for message in recorded["messages"]
-            ],
-            max_output_tokens=recorded["max_tokens"],
-        )
-    else:
-        body.update(messages=recorded["messages"], max_tokens=recorded["max_tokens"])
-    async with Molto(
-        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
-    ) as client:
-        with pytest.raises(ValueError, match="reasoning_content.*reasoning.*dialect"):
-            result = await getattr(client, coordinator)(
-                body=body, endpoint="chat/completions", provider="togetherai", api_key="test"
-            )
-            if stream:
-                async with result:
-                    [event async for event in result]
-        assert responses[-1].is_closed
diff --git a/tests/types/test_anthropic_messages.py b/tests/types/test_anthropic_messages.py
index 0ac33d2..d13bcdc 100644
--- a/tests/types/test_anthropic_messages.py
+++ b/tests/types/test_anthropic_messages.py
@@ -129,47 +129,3 @@ def test_stream_adapter_uses_official_response_service_tiers():
     event["message"]["usage"]["service_tier"] = "auto"
     with pytest.raises(ValidationError):
         AnthropicMessagesStreamEventAdapter.validate_python(event)
-
-
-@pytest.mark.parametrize(
-    ("block", "field"),
-    [
-        ({"type": "text", "text": "Keep  exact\ntext"}, "citations"),
-        ({"type": "tool_use", "id": "call_1", "name": "add", "input": {"a": 2, "b": 3}}, "caller"),
-    ],
-)
-@pytest.mark.parametrize("explicit_null", [False, True])
-def test_native_history_preserves_explicit_block_nulls_without_adding_defaults(
-    block, field, explicit_null
-):
-    """Ensures explicitly submitted null citations/callers survive repeated native serialization."""
-    block = {**block, **({field: None} if explicit_null else {})}
-    body = {
-        "max_tokens": 32,
-        "model": "model",
-        "messages": [{"role": "assistant", "content": [block]}],
-    }
-    request = AnthropicMessagesCreateRequest.model_validate(body)
-    assert request.model_dump() == body
-    assert request.model_dump() == body
-    assert request.model_dump_populated() == body
-    assert "temperature" not in request.model_dump()
-
-
-def test_native_history_null_serializer_respects_nested_exclusion():
-    """Ensures preserving explicit history nulls does not bypass requested field exclusions."""
-    request = AnthropicMessagesCreateRequest(
-        model="model",
-        max_tokens=32,
-        messages=[
-            {
-                "role": "assistant",
-                "content": [{"type": "text", "text": "Answer", "citations": None}],
-            }
-        ],
-    )
-    assert request.model_dump(exclude={"messages": {0: {"content": {0: {"citations"}}}}}) == {
-        "model": "model",
-        "max_tokens": 32,
-        "messages": [{"role": "assistant", "content": [{"type": "text", "text": "Answer"}]}],
-    }
diff --git a/tests/types/test_provider_history.py b/tests/types/test_provider_history.py
index f071328..1aae029 100644
--- a/tests/types/test_provider_history.py
+++ b/tests/types/test_provider_history.py
@@ -11,37 +11,6 @@
 from molto.types.openai_responses import OpenAIResponsesCreateRequest
 
 
-@pytest.mark.parametrize("reasoning", ["", "  Think\n", [], ["", "  Think\n", "\t", ""]])
-def test_assistant_reasoning_preserves_native_shape(reasoning):
-    """Ensures SDK output reasoning keeps its exact string or ordered array in history."""
-    message = ChatCompletionMessage.model_validate(
-        {"role": "assistant", "content": "Answer", "reasoning": reasoning}
-    ).model_dump(exclude_unset=True)
-    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
-    expected = {"model": "model", "messages": [message]}
-    assert request.model_dump() == expected
-    assert request.model_dump() == expected
-
-
-@pytest.mark.parametrize("reasoning", [None, 1, {}, [1], [None], [["nested"]]])
-def test_assistant_reasoning_rejects_invalid_values(reasoning):
-    """Ensures the reasoning extension cannot accept nulls or non-string array elements."""
-    with pytest.raises(ValidationError):
-        OpenAIChatCompletionsCreateRequest(
-            model="model", messages=[{"role": "assistant", "reasoning": reasoning}]
-        )
-
-
-@pytest.mark.parametrize("role", ["user", "system", "developer", "tool"])
-def test_reasoning_remains_assistant_only(role):
-    """Ensures reasoning does not weaken validation for unrelated message roles."""
-    message = {"role": role, "content": "Text", "reasoning": "Thought"}
-    if role == "tool":
-        message["tool_call_id"] = "call_1"
-    with pytest.raises(ValidationError):
-        OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
-
-
 @pytest.mark.parametrize(
     "call",
     [
@@ -167,87 +136,3 @@ def test_openrouter_reasoning_format_round_trips_sdk_history():
     request = OpenAIResponsesCreateRequest(model="model", input=[item])
     assert request.model_dump()["input"] == [item]
     assert request.model_dump()["input"] == [item]
-
-
-def test_assistant_null_tools_placeholder_preserves_native_history():
-    """Ensures Fireworks' observed null tools placeholder survives repeated native serialization."""
-    message = {"role": "assistant", "content": "Answer", "tools": None}
-    parsed = ChatCompletionMessage.model_validate(message).model_dump(exclude_unset=True)
-    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[parsed])
-    assert request.model_dump()["messages"] == [message]
-    assert request.model_dump()["messages"] == [message]
-
-
-@pytest.mark.parametrize("tools", [[], {}, [{"type": "function"}], "", False, 1])
-def test_assistant_tools_placeholder_rejects_populated_values(tools):
-    """Ensures the observed null placeholder cannot accept tool definitions or unrelated values."""
-    with pytest.raises(ValidationError):
-        OpenAIChatCompletionsCreateRequest(
-            model="model", messages=[{"role": "assistant", "content": "Answer", "tools": tools}]
-        )
-
-
-@pytest.mark.parametrize("role", ["user", "system", "developer", "tool"])
-def test_tools_placeholder_remains_assistant_only(role):
-    """Ensures the Fireworks placeholder does not weaken unrelated message schemas."""
-    message = {"role": role, "content": "Text", "tools": None}
-    if role == "tool":
-        message["tool_call_id"] = "call_1"
-    with pytest.raises(ValidationError):
-        OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
-
-
-@pytest.mark.parametrize("field", ["tools", "tool_calls"])
-def test_null_tools_placeholder_has_no_translated_tool_semantics(field):
-    """Ensures empty assistant metadata cannot introduce normalized tool definitions."""
-    from molto.adapters.openai import OpenAIChatCompletionsAdapter
-    from molto.providers import PROVIDER_CAPABILITIES
-    from molto.types.normalized import AssistantInput, TextOutput
-
-    request = OpenAIChatCompletionsCreateRequest(
-        model="model", messages=[{"role": "assistant", "content": "Answer", field: None}]
-    )
-    normalized = OpenAIChatCompletionsAdapter(
-        PROVIDER_CAPABILITIES["fireworks"]
-    ).normalize_request(request)
-    assert normalized.tools is None
-    assert normalized.input == [AssistantInput(content=[TextOutput(content="Answer")])]
-
-
-def test_function_call_null_outer_name_preserves_native_history():
-    """Ensures Fireworks' outer null name never replaces the function's actual tool name."""
-    call = {
-        "id": "call_1",
-        "type": "function",
-        "name": None,
-        "function": {"name": "add", "arguments": '{"a":2,"b":3}'},
-    }
-    message = {"role": "assistant", "tool_calls": [call]}
-    request = OpenAIChatCompletionsCreateRequest(model="model", messages=[message])
-    assert request.model_dump()["messages"] == [message]
-    assert request.model_dump()["messages"] == [message]
-
-
-@pytest.mark.parametrize("name", ["add", "", [], {}, False, 1])
-def test_function_call_outer_name_rejects_populated_values(name):
-    """Ensures the known null placeholder cannot introduce competing function identities."""
-    call = {
-        "id": "call_1",
-        "type": "function",
-        "name": name,
-        "function": {"name": "add", "arguments": "{}"},
-    }
-    with pytest.raises(ValidationError):
-        OpenAIChatCompletionsCreateRequest(
-            model="model", messages=[{"role": "assistant", "tool_calls": [call]}]
-        )
-
-
-def test_null_tool_calls_preserves_native_history():
-    """Ensures Fireworks' emitted empty call placeholder survives exact native continuation."""
-    body = {
-        "model": "test",
-        "messages": [{"role": "assistant", "content": "done", "tool_calls": None}],
-    }
-    request = OpenAIChatCompletionsCreateRequest.model_validate(body)
-    assert request.model_dump(exclude_none=True)["messages"] == body["messages"]
diff --git a/tests/upstream/test_multi_turn.py b/tests/upstream/test_multi_turn.py
index 2e8f789..667707e 100644
--- a/tests/upstream/test_multi_turn.py
+++ b/tests/upstream/test_multi_turn.py
@@ -1,13 +1,14 @@
-import json
 from contextlib import asynccontextmanager
 from copy import deepcopy
 from pathlib import Path
 
 import httpx
 import pytest
-from anthropic import AsyncAnthropic
+from anthropic.lib.streaming._messages import accumulate_event
 from openai import AsyncOpenAI
+from openai.lib.streaming.chat import ChatCompletionStreamState
 
+from molto import Molto
 from molto.providers import PROVIDER_CAPABILITIES
 from molto.types.normalized import (
     AssistantInput,
@@ -31,24 +32,28 @@
     ToolReturn,
     UserInput,
 )
-from molto.upstream.openai import OpenAIResponsesClient
-from molto.upstream.registry import CLIENTS as PROVIDER_CLIENTS
+from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.fireworks import FireworksResponsesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
+from molto.upstream.openrouter import OpenRouterResponsesClient
+from molto.upstream.together import TogetherAIResponsesClient
 from molto.utils.io import json_loads, read_yaml
-from tests.core.test_recorded_provider_conversations import collect
-from tests.core.test_together_conversations import _semantics
-
-# Reusing canonical recordings exercises each declared class's protocol contract;
-# these combinations are offline tests, not evidence that those models run there.
-CLIENT_SETTINGS = {
-    client: (provider, endpoint.replace("/", "_"))
-    for (provider, endpoint), client in PROVIDER_CLIENTS.items()
+
+CLIENTS = {
+    OpenAIResponsesClient: ("openai", "responses"),
+    OpenAIChatCompletionsClient: ("openai", "chat_completions"),
+    AnthropicMessagesClient: ("anthropic", "messages"),
+    FireworksResponsesClient: ("fireworks", "responses"),
+    OpenRouterResponsesClient: ("openrouter", "responses"),
+    TogetherAIResponsesClient: ("togetherai", "responses"),
 }
-CLIENTS = list(CLIENT_SETTINGS)
+# The original scenario prompts belong to these providers' own recordings.
+# Hosted captures below use their recorded prompts and available scenarios.
+CANONICAL_CLIENTS = [
+    client for client, (provider, _) in CLIENTS.items() if provider in {"openai", "anthropic"}
+]
 REASONING_CLIENTS = [
-    client
-    for client, (provider, endpoint) in CLIENT_SETTINGS.items()
-    if endpoint != "chat_completions"
-    and client.resolve_capabilities(PROVIDER_CAPABILITIES[provider]).thinking == "summary"
+    client for client in CANONICAL_CLIENTS if CLIENTS[client][1] != "chat_completions"
 ]
 CASSETTE_DIR = Path(__file__).parents[1] / "cassettes" / "upstream_ir"
 
@@ -57,10 +62,9 @@
 async def _replay_client(
     client_type, scenario: str, turns: int, *, requests: list[httpx.Request] | None = None
 ):
-    provider, endpoint = CLIENT_SETTINGS[client_type]
-    source_provider = "anthropic" if endpoint == "messages" else "openai"
+    provider, endpoint = CLIENTS[client_type]
     cassettes = [
-        read_yaml(CASSETTE_DIR / scenario / f"{source_provider}-{endpoint}-stream-{turn:02}.yaml")
+        read_yaml(CASSETTE_DIR / scenario / f"{provider}-{endpoint}-stream-{turn:02}.yaml")
         for turn in range(turns)
     ]
     consumed = 0
@@ -88,14 +92,10 @@ def handle(request: httpx.Request) -> httpx.Response:
         client = client_type(
             http_client,
             api_key="test-key",
-            capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES[provider]),
-            base_url="https://api.anthropic.com"
-            if endpoint == "messages"
-            else "https://api.openai.com/v1",
+            capabilities=PROVIDER_CAPABILITIES[provider],
             extra_body=(
                 {"include": ["reasoning.encrypted_content"], "store": False}
-                if issubclass(client_type, OpenAIResponsesClient)
-                and scenario == "tool_use_reasoning"
+                if client_type is OpenAIResponsesClient and scenario == "tool_use_reasoning"
                 else None
             ),
         )
@@ -130,15 +130,17 @@ def _assert_ir(
     assert 0 <= usage.input_tokens_details.cache_write_tokens <= usage.input_tokens
     assert 0 <= usage.output_tokens_details.reasoning_tokens <= usage.output_tokens
 
-    parts = []
-    active = None
+    parts = {}
+    active_parts = {}
     for event in events[1:-1]:
         assert isinstance(event, (PartStartEvent, PartDeltaEvent, PartEndEvent))
-        assert event.index == len(parts)
         if isinstance(event, PartStartEvent):
-            assert active is None
-            active = event.part.model_copy(deep=True)
-        elif isinstance(event, PartDeltaEvent):
+            assert event.index == len(parts) + len(active_parts)
+            active_parts[event.index] = event.part.model_copy(deep=True)
+            continue
+        assert event.index in active_parts
+        active = active_parts[event.index]
+        if isinstance(event, PartDeltaEvent):
             delta = event.delta
             if isinstance(delta, TextDelta):
                 assert isinstance(active, TextOutput)
@@ -173,9 +175,6 @@ def _assert_ir(
                 if tool_name == "read_file":
                     assert set(args) == {"path"}
                     assert isinstance(args["path"], str) and args["path"]
-                else:
-                    assert set(args) == {"a", "b"}
-                    assert all(type(value) is int for value in args.values())
             else:
                 assert isinstance(active, Thinking)
                 if raw_reasoning:
@@ -183,17 +182,18 @@ def _assert_ir(
                 else:
                     assert active.content == ""
                     assert active.signature
-            parts.append(event.part)
-            active = None
-    assert active is None
+            parts[event.index] = event.part
+            del active_parts[event.index]
+    assert not active_parts
     assert parts
+    parts = [parts[index] for index in range(len(parts))]
     assert end.termination_reason == (
         "tool_call" if any(isinstance(part, ToolCall) for part in parts) else "stop"
     )
     return parts
 
 
-@pytest.mark.parametrize("client_type", CLIENTS, ids=lambda cls: cls.__name__)
+@pytest.mark.parametrize("client_type", CANONICAL_CLIENTS, ids=lambda cls: cls.__name__)
 async def test_multi_turn_text_chat(client_type) -> None:
     """Ensures all clients emit coherent text IR and preserve assistant history."""
     async with _replay_client(client_type, "text_chat", turns=2) as (client, model):
@@ -219,7 +219,7 @@ async def test_multi_turn_text_chat(client_type) -> None:
                 )
 
 
-@pytest.mark.parametrize("client_type", CLIENTS, ids=lambda cls: cls.__name__)
+@pytest.mark.parametrize("client_type", CANONICAL_CLIENTS, ids=lambda cls: cls.__name__)
 async def test_multi_turn_text_and_image_chat(client_type) -> None:
     """Ensures mixed text/image parts stay in one user message across conversation turns."""
     requests = []
@@ -259,19 +259,15 @@ async def test_multi_turn_text_and_image_chat(client_type) -> None:
             assert request.input == expected_input
 
             body = json_loads(requests[-1].content)
-            messages = (
-                body["input"]
-                if issubclass(client_type, OpenAIResponsesClient)
-                else body["messages"]
-            )
+            messages = body["input"] if client_type is OpenAIResponsesClient else body["messages"]
             assert [message["role"] for message in messages] == [
                 "user" if isinstance(item, UserInput) else "assistant" for item in expected_input
             ]
             text_type, image_type = {
-                "responses": ("input_text", "input_image"),
-                "chat_completions": ("text", "image_url"),
-                "messages": ("text", "image"),
-            }[CLIENT_SETTINGS[client_type][1]]
+                OpenAIResponsesClient: ("input_text", "input_image"),
+                OpenAIChatCompletionsClient: ("text", "image_url"),
+                AnthropicMessagesClient: ("text", "image"),
+            }[client_type]
             for message in messages:
                 if message["role"] == "user":
                     assert [part["type"] for part in message["content"]] == [
@@ -282,7 +278,7 @@ async def test_multi_turn_text_and_image_chat(client_type) -> None:
             request.input.append(AssistantInput(content=parts))
 
 
-@pytest.mark.parametrize("client_type", CLIENTS, ids=lambda cls: cls.__name__)
+@pytest.mark.parametrize("client_type", CANONICAL_CLIENTS, ids=lambda cls: cls.__name__)
 async def test_multi_turn_consecutive_user_text_inputs(client_type) -> None:
     """Ensures adjacent user messages and text parts retain their boundaries across turns."""
     requests = []
@@ -326,11 +322,7 @@ async def test_multi_turn_consecutive_user_text_inputs(client_type) -> None:
             assert request.input == expected_input
 
             body = json_loads(requests[-1].content)
-            messages = (
-                body["input"]
-                if issubclass(client_type, OpenAIResponsesClient)
-                else body["messages"]
-            )
+            messages = body["input"] if client_type is OpenAIResponsesClient else body["messages"]
             assert [message["role"] for message in messages] == [
                 "user" if isinstance(item, UserInput) else "assistant" for item in expected_input
             ]
@@ -422,7 +414,7 @@ async def _assert_tool_conversation(client_type, *, reasoning: bool) -> None:
         assert continued_thinking is reasoning
 
 
-@pytest.mark.parametrize("client_type", CLIENTS, ids=lambda cls: cls.__name__)
+@pytest.mark.parametrize("client_type", CANONICAL_CLIENTS, ids=lambda cls: cls.__name__)
 async def test_multi_turn_tool_use(client_type) -> None:
     """Ensures tool IR preserves JSON arguments, call identity, results, and final text."""
     await _assert_tool_conversation(client_type, reasoning=False)
@@ -434,296 +426,439 @@ async def test_multi_turn_tool_use_with_reasoning(client_type) -> None:
     await _assert_tool_conversation(client_type, reasoning=True)
 
 
-RECORDED_ROOT = Path(__file__).parents[1] / "cassettes/provider_recordings/2026-11-04"
-RECORDED_GROUPS = [
-    "fireworks-chat-text-stream-none-history",
-    "fireworks-chat-tools-stream-none-history",
-    "fireworks-responses-text-stream-none",
-    "fireworks-responses-tools-stream-none",
-    "fireworks-messages-text-stream-none",
-    "fireworks-messages-tools-stream-none",
-    "openrouter-chat-text-stream-none",
-    "openrouter-responses-text-stream-none",
-    "openrouter-responses-tools-stream-low",
-    "openrouter-messages-text-stream-none",
-    "openrouter-messages-tools-stream-none",
+# Only provider-owned recordings belong in this matrix. Missing scenarios are
+# absent coverage, never canonical fixtures relabeled as another provider.
+PROVIDER_RESPONSES_CLIENTS = {
+    provider: client
+    for client, (provider, endpoint) in CLIENTS.items()
+    if client not in CANONICAL_CLIENTS and endpoint == "responses"
+}
+PROVIDER_CONVERSATIONS = [
+    pytest.param(provider, scenario.name, mode, id=f"{provider}-{scenario.name}-{mode}")
+    for provider in PROVIDER_RESPONSES_CLIENTS
+    for scenario in sorted(CASSETTE_DIR.iterdir())
+    if scenario.is_dir()
+    for mode in ("stream", "non_stream")
+    if (scenario / f"{provider}-responses-{mode}-00.yaml").exists()
 ]
 
 
-def _caller_inputs(messages):
-    """Read only recorded caller input; assistant history must come from actual emitted IR."""
-    result = []
-    for message in messages:
-        if message.get("type") == "function_call_output":
-            result.append(
-                ToolReturn(
-                    tool_call_id=message["call_id"], content=[TextInput(content=message["output"])]
-                )
+def _provider_turns(provider, scenario, mode):
+    return [
+        read_yaml(path)
+        for path in sorted((CASSETTE_DIR / scenario).glob(f"{provider}-responses-{mode}-*.yaml"))
+    ]
+
+
+def _sdk_body(body):
+    """Keep OpenRouter routing controls separate from the SDK's native arguments."""
+    body = deepcopy(body)
+    extras = {"provider": body.pop("provider")} if "provider" in body else None
+    return body, extras
+
+
+def _recorded_response(cassette):
+    response = cassette["response"]
+    if "sse" in response:
+        return httpx.Response(
+            response["status_code"],
+            text="".join(response["sse"]),
+            headers={"content-type": "text/event-stream"},
+        )
+    return httpx.Response(
+        response["status_code"],
+        content=response["body_bytes"],
+        headers={"content-type": "application/json"},
+    )
+
+
+async def _collect_responses(result, stream):
+    if not stream:
+        return result, None
+    async with result:
+        events = [event async for event in result]
+    completed = [event.response for event in events if event.type == "response.completed"]
+    assert len(completed) == 1
+    return completed[0], [event.model_dump() for event in events]
+
+
+@pytest.mark.parametrize(("provider", "scenario", "mode"), PROVIDER_CONVERSATIONS)
+async def test_provider_native_responses_conversation(provider, scenario, mode):
+    """Ensures native SDK parity and exact actual-output continuation for recorded provider conversations."""
+    cassettes = _provider_turns(provider, scenario, mode)
+    stream = mode == "stream"
+    history = deepcopy(cassettes[0]["request"]["body"]["input"])
+    for turn, cassette in enumerate(cassettes):
+        recorded = cassette["request"]["body"]
+        assert history == recorded["input"]
+        body, extras = _sdk_body({**recorded, "input": history})
+        calls = []
+
+        def handle(request, cassette=cassette, recorded=recorded, calls=calls):
+            calls.append(request)
+            assert request.url.path == cassette["request"]["path"]
+            assert request.headers["authorization"] == "Bearer test-key"
+            assert json_loads(request.content) == recorded
+            return _recorded_response(cassette)
+
+        async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
+            sdk = AsyncOpenAI(
+                api_key="test-key",
+                base_url=PROVIDER_RESPONSES_CLIENTS[provider].DEFAULT_BASE_URL,
+                http_client=transport,
+                max_retries=0,
             )
-        elif message.get("role") == "tool":
+            expected, expected_events = await _collect_responses(
+                await sdk.responses.create(**body, extra_body=extras), stream
+            )
+        async with Molto(
+            http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
+        ) as molto:
+            actual, actual_events = await _collect_responses(
+                await molto.responses(
+                    body, provider=provider, api_key="test-key", extra_body=extras
+                ),
+                stream,
+            )
+        if stream:
+            # Native streaming documents only this omitted-usage normalization.
+            for event in expected_events:
+                if (
+                    event["type"] == "response.completed"
+                    and event["response"]["usage"]["input_tokens_details"]["cache_write_tokens"]
+                    is None
+                ):
+                    event["response"]["usage"]["input_tokens_details"]["cache_write_tokens"] = 0
+                    expected.usage.input_tokens_details.cache_write_tokens = 0
+        assert actual_events == expected_events
+        assert actual.model_dump() == expected.model_dump()
+        assert len(calls) == 2
+        history.extend(item.model_dump(exclude_unset=True) for item in actual.output)
+        if turn + 1 < len(cassettes):
+            next_history = cassettes[turn + 1]["request"]["body"]["input"]
+            assert history == next_history[: len(history)]
+            suffix = next_history[len(history) :]
+            assert suffix and all(
+                item.get("role") == "user" or item.get("type") == "function_call_output"
+                for item in suffix
+            )
+            history.extend(deepcopy(suffix))
+
+
+def _caller_input(items):
+    """Read recorded caller data; assistant history must come from actual emitted IR."""
+    result = []
+    for item in items:
+        if item.get("type") == "function_call_output":
+            content = item["output"]
+            if isinstance(content, str):
+                content = [{"type": "input_text", "text": content}]
             result.append(
                 ToolReturn(
-                    tool_call_id=message["tool_call_id"],
-                    content=[TextInput(content=message["content"])],
+                    tool_call_id=item["call_id"],
+                    content=[TextInput(content=part["text"]) for part in content],
                 )
             )
         else:
-            assert message["role"] == "user"
-            content = message["content"]
+            assert item["role"] == "user"
+            content = item["content"]
             if isinstance(content, str):
-                content = [{"type": "text", "text": content}]
-            if all(part["type"] == "tool_result" for part in content):
-                result.extend(
-                    ToolReturn(
-                        tool_call_id=part["tool_use_id"],
-                        content=[TextInput(content=part["content"])],
-                    )
-                    for part in content
-                )
-            else:
-                assert all(part["type"] in {"text", "input_text"} for part in content)
-                result.append(
-                    UserInput(content=[TextInput(content=part["text"]) for part in content])
-                )
+                content = [{"type": "input_text", "text": content}]
+            assert all(part["type"] == "input_text" for part in content)
+            result.append(UserInput(content=[TextInput(content=part["text"]) for part in content]))
     return result
 
 
-def _expected_normalized_wire(recorded, protocol):
-    """Derive expected wire copies from native evidence using only known representation changes."""
+def _expected_responses_wire(recorded):
+    """Adjust source copies only for documented normalized representations, never model output."""
     body = deepcopy(recorded)
-    history = body["input" if protocol == "responses" else "messages"]
-    for message in history:
-        if message.get("role") in {"user", "tool"} and isinstance(message["content"], str):
-            message["content"] = [
-                {
-                    "type": "input_text" if protocol == "responses" else "text",
-                    "text": message["content"],
-                }
-            ]
-        if message.get("role") == "assistant":
-            if protocol == "chat/completions":
-                for field in ("refusal", "tool_calls", "tools", "reasoning", "reasoning_content"):
-                    if field in message and message[field] is None:
-                        del message[field]
-                if message.get("tool_calls"):
-                    if message.get("content") is None:
-                        message.pop("content", None)
-                    for call in message["tool_calls"]:
-                        if call.get("name") is None:
-                            call.pop("name", None)
-            elif protocol == "responses":
-                # Normalized text parts do not carry their enclosing source message ID.
-                message.pop("id", None)
-                assert message.get("phase") is None
-                message.pop("phase", None)
-                for part in message["content"]:
-                    part.setdefault("annotations", [])
-                    part.setdefault("logprobs", [])
-            else:
-                for part in message["content"]:
-                    if part.get("citations") in (None, []):
-                        part.pop("citations", None)
-                    if part.get("caller") in (None, {"type": "direct"}):
-                        part.pop("caller", None)
-        if message.get("type") == "reasoning":
-            assert message.pop("format", None) == "unknown"
-            assert message.pop("status") == "completed"
-        if message.get("type") == "function_call_output":
-            message["output"] = [{"type": "input_text", "text": message["output"]}]
-        if protocol == "messages" and message.get("role") == "user":
-            for part in message["content"]:
-                if part["type"] == "tool_result" and isinstance(part["content"], str):
-                    part["content"] = [{"type": "text", "text": part["content"]}]
-    if protocol == "chat/completions":
-        body["max_completion_tokens"] = body.pop("max_tokens")
-    if protocol != "messages":
-        for tool in body.get("tools", []):
-            (tool["function"] if protocol == "chat/completions" else tool).setdefault(
-                "strict", False
-            )
+    for item in body["input"]:
+        if item.get("role") == "user" and isinstance(item["content"], str):
+            item["content"] = [{"type": "input_text", "text": item["content"]}]
+        if item.get("role") == "assistant":
+            # IR text parts do not carry their enclosing source message's ID.
+            item.pop("id", None)
+            assert item.get("phase") is None
+            item.pop("phase", None)
+            for part in item["content"]:
+                part.setdefault("annotations", [])
+                part.setdefault("logprobs", [])
+        if item.get("type") == "reasoning":
+            assert item.pop("format", None) in (None, "unknown")
+            item.pop("status", None)
+        if item.get("type") == "function_call_output" and isinstance(item["output"], str):
+            item["output"] = [{"type": "input_text", "text": item["output"]}]
+    for tool in body.get("tools", []):
+        assert tool["type"] == "function"
+        tool.setdefault("strict", False)
     return body
 
 
-@pytest.mark.parametrize("group_name", RECORDED_GROUPS)
-async def test_recorded_provider_normalized_multi_turn(group_name):
-    """Ensures actual provider IR continues text/tool turns with exact independently expected wire bodies."""
-    group = RECORDED_ROOT / group_name
-    manifest = json.loads((group / "manifest.json").read_text())
-    protocol = manifest["upstream_protocol"]
-    provider = manifest["provider"]
-    client_type = PROVIDER_CLIENTS[(provider, protocol)]
-    recordings = [read_yaml(group / turn["files"][0]) for turn in manifest["turns"]]
-    history_key = "input" if protocol == "responses" else "messages"
-    first_body = recordings[0]["request"]["body"]
+@pytest.mark.parametrize(
+    ("provider", "scenario", "mode"),
+    [case for case in PROVIDER_CONVERSATIONS if case.values[2] == "stream"],
+)
+async def test_provider_normalized_responses_conversation(provider, scenario, mode):
+    """Ensures SDK-visible text, reasoning, calls and usage survive real normalized continuations."""
+    cassettes = _provider_turns(provider, scenario, mode)
+    first = cassettes[0]["request"]["body"]
     request = NormalizedRequest(
-        model=first_body["model"],
+        model=first["model"],
         stream=True,
-        max_output_tokens=manifest["max_tokens"],
-        input=_caller_inputs(first_body[history_key]),
+        max_output_tokens=first["max_output_tokens"],
+        input=_caller_input(first["input"]),
     )
-    if first_body.get("tools"):
-        tool = first_body["tools"][0]
-        tool = tool["function"] if protocol == "chat/completions" else tool
+    if first.get("tools"):
         request.tools = [
-            FunctionTool(
-                name=tool["name"],
-                description=tool["description"],
-                parameters=tool["input_schema" if protocol == "messages" else "parameters"],
-            )
+            FunctionTool(**{key: value for key, value in tool.items() if key != "type"})
+            for tool in first["tools"]
         ]
-    calls = 0
-    for turn, recording in enumerate(recordings):
-        recorded = recording["request"]["body"]
-        expected = _expected_normalized_wire(recorded, protocol)
-        response = recording["response"]
-        assert response["status_code"] == 200
-
-        def handle(http_request, expected=expected, response=response):
-            nonlocal calls
-            calls += 1
-            assert str(http_request.url) == manifest["upstream_url"]
-            assert json_loads(http_request.content) == expected
-            return httpx.Response(
-                200, text="".join(response["sse"]), headers={"content-type": "text/event-stream"}
-            )
-
+    for turn, cassette in enumerate(cassettes):
+        recorded = cassette["request"]["body"]
+        body, extras = _sdk_body(recorded)
         async with httpx.AsyncClient(
             transport=httpx.MockTransport(
-                lambda _, response=response: httpx.Response(
-                    200,
-                    text="".join(response["sse"]),
-                    headers={"content-type": "text/event-stream"},
-                )
+                lambda _, cassette=cassette: _recorded_response(cassette)
             )
         ) as transport:
-            sdk = (
-                AsyncAnthropic(api_key="test", http_client=transport)
-                if protocol == "messages"
-                else AsyncOpenAI(api_key="test", http_client=transport)
-            )
-            create = (
-                sdk.messages.create
-                if protocol == "messages"
-                else sdk.responses.create
-                if protocol == "responses"
-                else sdk.chat.completions.create
-            )
-            sdk_body = {
-                key: value
-                for key, value in recorded.items()
-                if key not in (manifest.get("extra_body") or {})
-            }
-            reference, source_events = await collect(
-                await create(**sdk_body, extra_body=manifest.get("extra_body")), True, protocol
+            sdk = AsyncOpenAI(api_key="test-key", http_client=transport, max_retries=0)
+            reference, source_events = await _collect_responses(
+                await sdk.responses.create(**body, extra_body=extras), True
             )
+        expected = _expected_responses_wire(recorded)
+        calls = []
+
+        def handle(http_request, expected=expected, cassette=cassette, calls=calls):
+            calls.append(http_request)
+            assert http_request.url.path == cassette["request"]["path"]
+            assert json_loads(http_request.content) == expected
+            return _recorded_response(cassette)
+
+        # Keep captured execution controls; these tests target content and history.
         controls = {
             key: recorded[key]
             for key in (
                 "reasoning",
-                "reasoning_effort",
-                "thinking",
                 "tool_choice",
                 "parallel_tool_calls",
                 "store",
+                "provider",
+                "include",
             )
             if key in recorded
         }
-        controls.update(manifest.get("extra_body") or {})
+        client_type = PROVIDER_RESPONSES_CLIENTS[provider]
+        unsigned_summary = any(
+            item.type == "reasoning" and item.summary and not item.encrypted_content
+            for item in reference.output
+        )
         async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
             client = client_type(
                 transport,
-                api_key="test",
+                api_key="test-key",
                 capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES[provider]),
                 extra_body=controls,
             )
             before = request.model_copy(deep=True)
+            if unsigned_summary:
+                with pytest.raises(
+                    ValueError, match="A Responses reasoning summary requires a signature"
+                ):
+                    _ = [event async for event in client.events(request)]
+                assert len(calls) == 1
+                return
             events = [event async for event in client.events(request)]
             assert request == before
-        timestamps = (
-            (int(source_events[0]["response"]["created_at"]), int(reference.created_at))
-            if protocol == "responses"
-            else None
-        )
+        assert len(calls) == 1
+        raw = any(item.type == "reasoning" and item.content for item in reference.output)
         parts = _assert_ir(
             events,
-            tool_name="add",
-            source_timestamps=timestamps,
-            raw_reasoning=manifest.get("reasoning_setting") == "low",
+            tool_name=request.tools[0].name if request.tools else "read_file",
+            source_timestamps=(
+                int(source_events[0]["response"]["created_at"]),
+                int(reference.created_at),
+            ),
+            raw_reasoning=raw,
+        )
+        assert (events[0].id, events[0].model) == (reference.id, reference.model)
+        assert (
+            "".join(part.content for part in parts if isinstance(part, TextOutput))
+            == reference.output_text
         )
-        source_id, model, text, tool_calls, reasoning, usage = _semantics(reference, protocol)
-        assert (events[0].id, events[0].model) == (source_id, model)
-        assert "".join(part.content for part in parts if isinstance(part, TextOutput)) == text
         assert [
             (part.tool_call_id, part.tool_name, json_loads(part.args))
             for part in parts
             if isinstance(part, ToolCall)
-        ] == tool_calls
+        ] == [
+            (item.call_id, item.name, json_loads(item.arguments))
+            for item in reference.output
+            if item.type == "function_call"
+        ]
         assert [
             (part.content, part.summary, part.signature)
             for part in parts
             if isinstance(part, Thinking)
-        ] == reasoning
+        ] == [
+            (
+                "".join(part.text for part in item.content or []),
+                "".join(part.text for part in item.summary),
+                item.encrypted_content,
+            )
+            for item in reference.output
+            if item.type == "reasoning"
+        ]
         assert (
             events[-1].usage.input_tokens,
             events[-1].usage.output_tokens,
             events[-1].usage.total_tokens,
-        ) == usage
-        if turn + 1 < len(recordings):
+        ) == (
+            reference.usage.input_tokens,
+            reference.usage.output_tokens,
+            reference.usage.total_tokens,
+        )
+        if turn + 1 < len(cassettes):
             request.input.append(AssistantInput(content=parts))
-            output_items = len(reference.output) if protocol == "responses" else 1
-            suffix = recordings[turn + 1]["request"]["body"][history_key][
-                len(recorded[history_key]) + output_items :
+            suffix = cassettes[turn + 1]["request"]["body"]["input"][
+                len(recorded["input"]) + len(reference.output) :
             ]
             assert suffix
-            request.input.extend(_caller_inputs(suffix))
-    assert calls == len(recordings)
-
-
-async def test_recorded_together_alternate_reasoning_rejects_normalized_output():
-    """Ensures Together's current alternate reasoning dialect rejects rather than losing SDK-visible text."""
-    group = RECORDED_ROOT.parent / "2026-11-03/together-text-stream"
-    manifest = json.loads((group / "manifest.json").read_text())
-    recording = read_yaml(group / manifest["turns"][0]["files"][0])
-    body = recording["request"]["body"]
-    expected = _expected_normalized_wire(body, "chat/completions")
-    calls = 0
-
-    def handle(request):
-        nonlocal calls
-        calls += 1
-        assert json_loads(request.content) == (body if calls == 1 else expected)
-        return httpx.Response(
-            200,
-            text="".join(recording["response"]["sse"]),
-            headers={"content-type": "text/event-stream"},
+            request.input.extend(_caller_input(suffix))
+
+
+@pytest.mark.parametrize("provider", ["openrouter", "fireworks"])
+@pytest.mark.parametrize("downstream", ["chat_completions", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_provider_reasoning_public_projection(provider, downstream, stream):
+    """Ensures public projections preserve raw reasoning or reject unsigned summaries from actual Responses evidence."""
+    cassette = _provider_turns(provider, "tool_use_reasoning", "stream")[0]
+    recorded = cassette["request"]["body"]
+    sdk_body, extras = _sdk_body(recorded)
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _recorded_response(cassette))
+    ) as transport:
+        sdk = AsyncOpenAI(api_key="test-key", http_client=transport, max_retries=0)
+        reference, _ = await _collect_responses(
+            await sdk.responses.create(**sdk_body, extra_body=extras), True
         )
+    expected = _expected_responses_wire(recorded)
+    body = {
+        "model": recorded["model"],
+        "messages": deepcopy(recorded["input"]),
+        "max_tokens": recorded["max_output_tokens"],
+        "stream": stream,
+    }
+    for message in body["messages"]:
+        assert message["role"] == "user"
+        if isinstance(message["content"], list):
+            for part in message["content"]:
+                assert part["type"] == "input_text"
+                part["type"] = "text"
+    tools = recorded["tools"]
+    if downstream == "chat_completions":
+        body["tools"] = [
+            {
+                "type": "function",
+                "function": {key: value for key, value in tool.items() if key != "type"},
+            }
+            for tool in tools
+        ]
+    else:
+        body["tools"] = [
+            {
+                "name": tool["name"],
+                "description": tool["description"],
+                "input_schema": tool["parameters"],
+            }
+            for tool in tools
+        ]
+        expected["stream_options"] = {"include_obfuscation": False}
+    controls = {
+        key: recorded[key]
+        for key in ("reasoning", "tool_choice", "parallel_tool_calls", "store", "provider")
+        if key in recorded
+    }
+    calls = []
 
-    async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
-        sdk = AsyncOpenAI(api_key="test", http_client=transport)
-        sdk_body = {
-            key: value
-            for key, value in body.items()
-            if key not in (manifest.get("extra_body") or {})
-        }
-        reference, _ = await collect(
-            await sdk.chat.completions.create(**sdk_body, extra_body=manifest["extra_body"]), True
-        )
-        assert reference.choices[0].message.reasoning_content
-        client_type = PROVIDER_CLIENTS[("togetherai", "chat/completions")]
-        client = client_type(
-            transport,
-            api_key="test",
-            capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES["togetherai"]),
-            extra_body=manifest["extra_body"],
+    def handle(request):
+        calls.append(request)
+        assert request.url.path == cassette["request"]["path"]
+        assert json_loads(request.content) == expected
+        return _recorded_response(cassette)
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
+    ) as molto:
+        if provider == "fireworks":
+            assert any(
+                item.type == "reasoning" and item.summary and not item.encrypted_content
+                for item in reference.output
+            )
+            with pytest.raises(
+                ValueError, match="A Responses reasoning summary requires a signature"
+            ):
+                result = await getattr(molto, downstream)(
+                    body,
+                    provider=provider,
+                    endpoint="responses",
+                    api_key="test-key",
+                    extra_body=controls,
+                )
+                if stream:
+                    async with result:
+                        _ = [event async for event in result]
+            assert len(calls) == 1
+            return
+        result = await getattr(molto, downstream)(
+            body, provider=provider, endpoint="responses", api_key="test-key", extra_body=controls
         )
-        request = NormalizedRequest(
-            model=body["model"],
-            stream=True,
-            max_output_tokens=manifest["max_tokens"],
-            input=_caller_inputs(body["messages"]),
+        if stream:
+            actual = None
+            state = ChatCompletionStreamState() if downstream == "chat_completions" else None
+            async with result:
+                async for event in result:
+                    if state is not None:
+                        state.handle_chunk(event)
+                    else:
+                        actual = accumulate_event(event=event, current_snapshot=actual)
+            if state is not None:
+                actual = state.get_final_completion()
+        else:
+            actual = result
+    assert len(calls) == 1
+    assert (actual.id, actual.model) == (reference.id, reference.model)
+    if downstream == "chat_completions":
+        message = actual.choices[0].message
+        text = message.content or ""
+        reasoning = message.reasoning_content
+        calls = [
+            (call.id, call.function.name, json_loads(call.function.arguments))
+            for call in message.tool_calls or []
+        ]
+        usage = (actual.usage.prompt_tokens, actual.usage.completion_tokens)
+        assert actual.choices[0].finish_reason == "tool_calls"
+    else:
+        text = "".join(block.text for block in actual.content if block.type == "text")
+        reasoning = "".join(block.thinking for block in actual.content if block.type == "thinking")
+        assert all(not block.signature for block in actual.content if block.type == "thinking")
+        calls = [
+            (block.id, block.name, block.input)
+            for block in actual.content
+            if block.type == "tool_use"
+        ]
+        usage = (
+            actual.usage.input_tokens
+            + (actual.usage.cache_read_input_tokens or 0)
+            + (actual.usage.cache_creation_input_tokens or 0),
+            actual.usage.output_tokens,
         )
-        with pytest.raises(
-            ValueError, match="reasoning field 'reasoning_content'.*'reasoning' dialect"
-        ):
-            _ = [event async for event in client.events(request)]
-    assert calls == 2 and transport.is_closed
+        assert actual.stop_reason == "tool_use"
+    assert text == reference.output_text
+    assert reasoning == "".join(
+        part.text for item in reference.output if item.type == "reasoning" for part in item.content
+    )
+    assert calls == [
+        (item.call_id, item.name, json_loads(item.arguments))
+        for item in reference.output
+        if item.type == "function_call"
+    ]
+    assert usage == (reference.usage.input_tokens, reference.usage.output_tokens)
diff --git a/tests/upstream/test_openai.py b/tests/upstream/test_openai.py
index 0be474c..534b9fb 100644
--- a/tests/upstream/test_openai.py
+++ b/tests/upstream/test_openai.py
@@ -1,4 +1,5 @@
 from collections.abc import AsyncIterator
+from copy import deepcopy
 from json import dumps
 
 import httpx
@@ -3825,3 +3826,205 @@ def handler(request: httpx.Request) -> httpx.Response:
     error = exc_info.value
     assert error.response.status_code == 404
     assert isinstance(error.__cause__, APIStatusError)
+
+
+def _provider_chunk(delta, finish_reason=None):
+    return {
+        "id": "chatcmpl_synthetic",
+        "object": "chat.completion.chunk",
+        "created": 1,
+        "model": "synthetic",
+        "choices": [{"index": 0, "delta": delta, "finish_reason": finish_reason}],
+    }
+
+
+def _provider_stream(*chunks):
+    return httpx.Response(
+        200,
+        text="".join(f"data: {dumps(chunk)}\n\n" for chunk in chunks) + "data: [DONE]\n\n",
+        headers={"content-type": "text/event-stream"},
+    )
+
+
+@pytest.mark.parametrize("following", [{"content": "\n\n"}, {"reasoning_content": " think "}])
+async def test_tool_lifecycle_closes_before_following_content(following):
+    """Ensures actual nonempty content finishes the preceding call before starting a new part."""
+    first = {
+        "index": 0,
+        "id": "call_1",
+        "type": "function",
+        "function": {"name": "lookup", "arguments": "{"},
+    }
+    chunks = [
+        _provider_chunk({"tool_calls": [first]}),
+        _provider_chunk(
+            {
+                "content": "",
+                "reasoning_content": "",
+                "tool_calls": [{"index": 0, "function": {"arguments": "}"}}],
+            }
+        ),
+        _provider_chunk(following),
+        _provider_chunk({}, "tool_calls"),
+    ]
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _provider_stream(*chunks))
+    ) as transport:
+        client = OpenAIChatCompletionsClient(
+            transport, capabilities=PROVIDER_CAPABILITIES["vllm"], api_key="test"
+        )
+        events = [
+            event
+            async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
+        ]
+    starts = [event for event in events if isinstance(event, PartStartEvent)]
+    ends = [event for event in events if isinstance(event, PartEndEvent)]
+    assert [event.index for event in starts] == [0, 1]
+    assert [event.index for event in ends] == [0, 1]
+    assert ends[0].part == ToolCall(tool_call_id="call_1", tool_name="lookup", args="{}")
+    assert events.index(ends[0]) < events.index(starts[1])
+    assert ends[1].part == (
+        TextOutput(content="\n\n")
+        if "content" in following
+        else Thinking(content=" think ", summary="")
+    )
+
+
+@pytest.mark.parametrize(
+    "following",
+    [
+        {"content": "text"},
+        {"reasoning_content": "think"},
+        {
+            "tool_calls": [
+                {"index": 1, "id": "call_2", "function": {"name": "second", "arguments": "{}"}}
+            ]
+        },
+    ],
+)
+async def test_closed_tool_call_cannot_resume(following):
+    """Ensures intervening text, reasoning, or another call makes later fragments fail explicitly."""
+    chunks = [
+        _provider_chunk(
+            {
+                "tool_calls": [
+                    {"index": 0, "id": "call_1", "function": {"name": "first", "arguments": "{"}}
+                ]
+            }
+        ),
+        _provider_chunk(following),
+        _provider_chunk({"tool_calls": [{"index": 0, "function": {"arguments": "}"}}]}),
+        _provider_chunk({}, "stop"),
+    ]
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(lambda _: _provider_stream(*chunks))
+    ) as transport:
+        client = OpenAIChatCompletionsClient(
+            transport, capabilities=PROVIDER_CAPABILITIES["vllm"], api_key="test"
+        )
+        with pytest.raises(ValueError, match="contiguous"):
+            [
+                event
+                async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
+            ]
+
+
+@pytest.mark.parametrize("placement", ["message", "part", "call"])
+def test_translated_history_rejects_google_state(placement):
+    """Ensures opaque native continuation state is rejected instead of dropped in translation."""
+    message = {
+        "role": "assistant",
+        "content": [{"type": "text", "text": "hello"}],
+        "tool_calls": [
+            {"id": "call_1", "type": "function", "function": {"name": "lookup", "arguments": "{}"}}
+        ],
+    }
+    extension = {"google": {"thought_signature": "opaque"}}
+    target = (
+        message
+        if placement == "message"
+        else message["content"][0]
+        if placement == "part"
+        else message["tool_calls"][0]
+    )
+    target["extra_content"] = extension
+    original = deepcopy(message)
+    request = OpenAIChatCompletionsCreateRequest(model="synthetic", messages=[message])
+    with pytest.raises(UnsupportedInput, match="extra_content"):
+        OpenAIChatCompletionsAdapter(PROVIDER_CAPABILITIES["vllm"]).normalize_request(request)
+    assert message == original
+
+
+@pytest.mark.parametrize("placement", ["message", "call"])
+@pytest.mark.parametrize("coordinator", ["responses", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_translated_output_rejects_google_state_and_closes(placement, coordinator, stream):
+    """Ensures unsupported output state fails explicitly and releases the upstream stream."""
+    delta = {
+        "tool_calls": [
+            {"index": 0, "id": "call_1", "function": {"name": "lookup", "arguments": "{}"}}
+        ]
+    }
+    target = delta if placement == "message" else delta["tool_calls"][0]
+    target["extra_content"] = {"google": {"thought_signature": "opaque"}}
+    responses = []
+
+    def handler(request):
+        response = _provider_stream(_provider_chunk(delta), _provider_chunk({}, "tool_calls"))
+        responses.append(response)
+        return response
+
+    body = {"model": "synthetic", "stream": stream}
+    if coordinator == "responses":
+        body["input"] = "Hello"
+    else:
+        body.update(messages=[{"role": "user", "content": "Hello"}], max_tokens=32)
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as client:
+        with pytest.raises(ValueError, match="extra_content"):
+            result = await getattr(client, coordinator)(
+                body=body, endpoint="chat/completions", provider="gemini", api_key="test"
+            )
+            if stream:
+                async with result:
+                    [event async for event in result]
+        assert responses[0].is_closed
+
+
+@pytest.mark.parametrize(
+    "part",
+    [
+        Thinking(content="", summary="summary"),
+        Thinking(content="", summary="", signature="opaque"),
+    ],
+)
+def test_chat_projection_rejects_nonportable_reasoning(part):
+    """Ensures Chat history never converts summaries or signatures into unsigned raw text."""
+    request = NormalizedRequest(model="synthetic", input=[AssistantInput(content=[part])])
+    with pytest.raises(UnsupportedInput, match="cannot represent"):
+        OpenAIChatCompletionsClient._request_body(request)
+
+
+async def test_generic_chat_missing_index_fails_instead_of_losing_call():
+    """Ensures unsupported missing indices cannot produce a successful empty translated response."""
+    chunk = _provider_chunk(
+        {
+            "tool_calls": [
+                {"index": None, "id": "call_1", "function": {"name": "lookup", "arguments": "{}"}}
+            ]
+        }
+    )
+    async with httpx.AsyncClient(
+        transport=httpx.MockTransport(
+            lambda _: _provider_stream(chunk, _provider_chunk({}, "tool_calls"))
+        )
+    ) as transport:
+        client = OpenAIChatCompletionsClient(
+            transport, capabilities=PROVIDER_CAPABILITIES["vllm"], api_key="test"
+        )
+        with pytest.raises(ValueError, match="require an index"):
+            [
+                event
+                async for event in client.events(NormalizedRequest(model="synthetic", stream=True))
+            ]
diff --git a/tests/utils/test_test_utils.py b/tests/utils/test_test_utils.py
index 4916b60..bf8f171 100644
--- a/tests/utils/test_test_utils.py
+++ b/tests/utils/test_test_utils.py
@@ -6,8 +6,6 @@
 
 from molto.utils.io import dumps_sse
 from molto.utils.test import (
-    assert_chat_choice_matches,
-    assert_chat_completions_chunks_match,
     assert_contains_expected,
     reconstructable_anthropic_event,
     reconstructable_chat_completions_chunks,
@@ -266,276 +264,3 @@ def test_reconstructable_responses_event_validates_event_and_request():
         reconstructable_responses_event(dumps_sse({"type": "invalid"}), {})
     with pytest.raises(ValidationError):
         reconstructable_responses_event(dumps_sse(event), {"invalid": True})
-
-
-@pytest.mark.parametrize("text", ["A thought", "\n\n"])
-def test_reconstructable_chat_completions_chunks_compare_provider_reasoning_aliases(text):
-    """Ensures provider reasoning aliases compare equal without hiding different text."""
-    choice = {"index": 0, "delta": {"reasoning_content": text}, "finish_reason": None}
-    expected = reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-    choice["delta"] = {"reasoning": text}
-    assert expected == reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-    choice["delta"] = {"reasoning": "Different thought"}
-    assert expected != reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-
-
-@pytest.mark.parametrize(
-    ("reasoning", "reasoning_content"),
-    [("Together", "OpenAI"), ("Thought", "Thought")],
-)
-def test_reconstructable_chat_completions_chunks_preserve_both_reasoning_fields(
-    reasoning, reasoning_content
-):
-    """Ensures simultaneous reasoning fields retain both values during comparison."""
-    delta = {"reasoning": reasoning, "reasoning_content": reasoning_content}
-    choice = {"index": 0, "delta": delta, "finish_reason": None}
-    result = reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-
-    assert result[0]["choices"][0]["delta"] == delta
-
-
-@pytest.mark.parametrize("text", ["Hello", "\n\n", ""])
-def test_reconstructable_chat_completions_chunks_preserve_duplicate_text(text):
-    """Ensures provider text remains available for independent consistency assertions."""
-    choice = {"index": 0, "delta": {"content": text}, "text": text, "finish_reason": None}
-    result = reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-
-    assert result[0]["choices"][0]["text"] == text
-
-
-@pytest.mark.parametrize(
-    "delta", [{"content": "Hello"}, {"content": "\n\n"}, {"content": None}, {}]
-)
-@pytest.mark.parametrize("text_sides", ["actual", "expected", "both"])
-def test_assert_chat_choice_matches_allows_consistent_duplicate_text(delta, text_sides):
-    """Ensures redundant text on either side is accepted without changing either choice."""
-    actual = {"index": 0, "delta": delta, "finish_reason": None}
-    expected = deepcopy(actual)
-    for side, choice in (("actual", actual), ("expected", expected)):
-        if text_sides in (side, "both"):
-            choice["text"] = delta.get("content") or ""
-    original = deepcopy((actual, expected))
-
-    assert_chat_choice_matches(actual, expected)
-
-    assert (actual, expected) == original
-
-
-@pytest.mark.parametrize("text", ["Wrong", "Hello ", None])
-@pytest.mark.parametrize("text_sides", ["actual", "expected", "both"])
-def test_assert_chat_choice_matches_rejects_contradictory_text(text, text_sides):
-    """Ensures even identical duplicated text cannot contradict the delta on either side."""
-    actual = {"index": 0, "delta": {"content": "Hello"}, "finish_reason": None}
-    expected = deepcopy(actual)
-    for side, choice in (("actual", actual), ("expected", expected)):
-        if text_sides in (side, "both"):
-            choice["text"] = text
-    original = deepcopy((actual, expected))
-
-    with pytest.raises(AssertionError):
-        assert_chat_choice_matches(actual, expected)
-
-    assert (actual, expected) == original
-
-
-@pytest.mark.parametrize(
-    ("field", "value"),
-    [
-        ("delta", {}),
-        ("delta", {"content": "Different"}),
-        ("delta", None),
-        ("index", 1),
-        ("finish_reason", "length"),
-        ("provider_extension", "unexpected"),
-        ("finish_reason", None),
-    ],
-)
-@pytest.mark.parametrize("swap", [False, True])
-def test_assert_chat_choice_matches_rejects_other_differences(field, value, swap):
-    """Ensures non-text fields must be present and equal in both choices."""
-    expected = {"index": 0, "delta": {"content": "Hello"}, "finish_reason": "stop"}
-    actual = {**expected, field: value}
-    if value is None:
-        del actual[field]
-    if swap:
-        actual, expected = expected, actual
-
-    with pytest.raises(AssertionError):
-        assert_chat_choice_matches(actual, expected)
-
-
-@pytest.mark.parametrize("both", [False, True])
-def test_assert_chat_completions_chunks_match_rejects_normalized_contradictory_text(both):
-    """Ensures reconstruction cannot hide contradictory text before parity comparison."""
-    choice = {"index": 0, "delta": {"content": "Hello"}, "finish_reason": None}
-    actual = reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[{**choice, "text": "Wrong"}], usage=None)), CHAT_BODY
-    )
-    if both:
-        choice["text"] = "Wrong"
-    expected = reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-
-    with pytest.raises(AssertionError):
-        assert_chat_completions_chunks_match(actual, expected)
-
-
-def test_assert_chat_completions_chunks_match_preserves_inputs():
-    """Ensures chunk comparison accepts redundant text without mutating nested payloads."""
-    choices = [{"index": 0, "delta": {"content": "Hello"}, "finish_reason": None}]
-    actual = [_chat_chunk(choices=choices, usage=None), _chat_chunk(choices=[], usage=None)]
-    expected = deepcopy(actual)
-    expected[0]["choices"][0]["text"] = "Hello"
-    original = deepcopy((actual, expected))
-
-    assert_chat_completions_chunks_match(actual, expected)
-
-    assert (actual, expected) == original
-
-
-@pytest.mark.parametrize(
-    "difference",
-    ["metadata", "extra_metadata", "chunk_count", "chunk_order", "choice_count", "choice_order"],
-)
-def test_assert_chat_completions_chunks_match_rejects_other_differences(difference):
-    """Ensures chunk metadata, counts, and chunk and choice ordering remain exact."""
-    choices = [
-        {"index": index, "delta": {"content": text}, "finish_reason": None}
-        for index, text in enumerate(["Hello", "World"])
-    ]
-    expected = [_chat_chunk(choices=choices, usage=None), _chat_chunk(choices=[], usage=None)]
-    actual = deepcopy(expected)
-    if difference == "metadata":
-        actual[0]["model"] = "different-model"
-    elif difference == "extra_metadata":
-        actual[0]["provider_extension"] = "unexpected"
-    elif difference == "chunk_count":
-        actual.pop()
-    elif difference == "chunk_order":
-        actual.reverse()
-    elif difference == "choice_count":
-        actual[0]["choices"].pop()
-    else:
-        actual[0]["choices"].reverse()
-
-    with pytest.raises(AssertionError):
-        assert_chat_completions_chunks_match(actual, expected)
-
-
-@pytest.mark.parametrize("placeholder", [None, ""])
-@pytest.mark.parametrize(
-    "delta",
-    [
-        {"role": "assistant"},
-        {"content": "Hello"},
-        {"reasoning_content": "A thought"},
-        {"reasoning": "A thought"},
-        {"tool_calls": [{"index": 0, "function": {"arguments": "{}"}}]},
-    ],
-)
-def test_reconstructable_chat_completions_chunks_normalize_optional_placeholders(
-    delta, placeholder
-):
-    """Ensures empty optional fields compare equally without changing populated deltas."""
-    delta = deepcopy(delta)
-    choice = {"index": 0, "delta": delta, "finish_reason": None}
-    chunk = _chat_chunk(choices=[choice], usage=None)
-    expected = reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
-
-    chunk.pop("usage")
-    for field in ("content", "reasoning", "reasoning_content", "refusal", "token_id"):
-        delta.setdefault(field, placeholder)
-    assert expected == reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
-
-
-@pytest.mark.parametrize(
-    ("field", "value"),
-    [
-        ("content", "\n\n"),
-        ("reasoning", "\n\n"),
-        ("reasoning_content", "\n\n"),
-        ("refusal", "Cannot comply"),
-        ("token_id", 42),
-        ("provider_extension", "unrecognized"),
-    ],
-)
-def test_reconstructable_chat_completions_chunks_preserve_populated_fields(field, value):
-    """Ensures placeholder normalization cannot conceal text or populated extensions."""
-    choice = {"index": 0, "delta": {}, "finish_reason": None}
-    chunk = _chat_chunk(choices=[choice], usage=None)
-    expected = reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
-
-    choice["delta"][field] = value
-    assert expected != reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
-
-
-def test_reconstructable_chat_completions_chunks_normalize_tool_continuation_placeholders():
-    """Ensures optional repeated tool fields normalize without hiding identity or arguments."""
-    tool = {"index": 0, "function": {"arguments": '{"path":'}}
-    choice = {"index": 0, "delta": {"tool_calls": [tool]}, "finish_reason": None}
-    chunk = _chat_chunk(choices=[choice], usage=None)
-    expected = reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
-
-    tool.update(id=None, type="function")
-    tool["function"]["name"] = None
-    assert expected == reconstructable_chat_completions_chunks(dumps_sse(chunk), CHAT_BODY)
-
-    for field, value in (("id", "new-call"), ("index", 1)):
-        changed = deepcopy(chunk)
-        changed["choices"][0]["delta"]["tool_calls"][0][field] = value
-        assert expected != reconstructable_chat_completions_chunks(dumps_sse(changed), CHAT_BODY)
-    for field, value in (("name", "another_function"), ("arguments", '"different"}')):
-        changed = deepcopy(chunk)
-        changed["choices"][0]["delta"]["tool_calls"][0]["function"][field] = value
-        assert expected != reconstructable_chat_completions_chunks(dumps_sse(changed), CHAT_BODY)
-
-
-@pytest.mark.parametrize("field", ["content", "reasoning", "tool_calls"])
-def test_reconstructable_chat_completions_chunks_preserve_delta_boundaries(field):
-    """Ensures equal final content cannot hide different observed text or tool chunks."""
-
-    def normalize(parts):
-        chunks = []
-        for part in parts:
-            value = (
-                [{"index": 0, "function": {"arguments": part}}] if field == "tool_calls" else part
-            )
-            choice = {"index": 0, "delta": {field: value}, "finish_reason": None}
-            chunks.extend(
-                reconstructable_chat_completions_chunks(
-                    dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-                )
-            )
-        return chunks
-
-    assert normalize(["Hello", " world"]) != normalize(["Hello world"])
-    assert normalize(["Hello", " world"]) != normalize(["Hell", "o world"])
-
-
-@pytest.mark.parametrize(
-    "fields", [("reasoning",), ("reasoning_content",), ("reasoning", "reasoning_content")]
-)
-@pytest.mark.parametrize("placeholder", [None, ""])
-def test_reconstructable_chat_completions_chunks_prune_terminal_reasoning_placeholders(
-    fields, placeholder
-):
-    """Ensures terminal empty or null reasoning aliases compare like absent fields."""
-    choice = {"index": 0, "delta": {}, "finish_reason": "stop"}
-    expected = reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )
-    choice["delta"] = dict.fromkeys(fields, placeholder)
-    assert expected == reconstructable_chat_completions_chunks(
-        dumps_sse(_chat_chunk(choices=[choice], usage=None)), CHAT_BODY
-    )

From 213e3d69dc9608bf37da608be0fcd578ece6d40a Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Thu, 5 Nov 2026 08:08:47 +0000
Subject: [PATCH 11/15] test: Add Bedrock Responses conversation cassettes

---
 .env.example                                  |   1 +
 docs/provider-compatibility.md                |  22 +-
 python/molto/configs.py                       |   8 +-
 tests/cassettes/README.md                     |   2 +-
 .../bedrock-responses-non_stream-00.yaml      | 119 +++++
 .../bedrock-responses-non_stream-01.yaml      | 149 ++++++
 .../bedrock-responses-stream-00.yaml          | 122 +++++
 .../bedrock-responses-stream-01.yaml          | 430 ++++++++++++++++++
 .../bedrock-responses-non_stream-00.yaml      | 148 ++++++
 .../bedrock-responses-non_stream-01.yaml      | 159 +++++++
 .../bedrock-responses-non_stream-02.yaml      | 175 +++++++
 .../tool_use/bedrock-responses-stream-00.yaml | 135 ++++++
 .../tool_use/bedrock-responses-stream-01.yaml | 146 ++++++
 .../tool_use/bedrock-responses-stream-02.yaml | 197 ++++++++
 tests/test_hosted_providers.py                |  64 ++-
 tests/upstream/test_multi_turn.py             |  40 +-
 16 files changed, 1895 insertions(+), 22 deletions(-)
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-responses-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-responses-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-responses-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-responses-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-responses-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-responses-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-responses-non_stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-responses-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-responses-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-responses-stream-02.yaml

diff --git a/.env.example b/.env.example
index e7ea5c4..134fc8c 100644
--- a/.env.example
+++ b/.env.example
@@ -5,6 +5,7 @@ MOLTO_LOG_LEVEL_STDERR=INFO
 ANTHROPIC_API_KEY=
 OPENAI_API_KEY=
 AWS_BEARER_TOKEN_BEDROCK=
+# Alternatively, replace the preceding line with BEDROCK_API_KEY=.
 FIREWORKS_API_KEY=
 GEMINI_API_KEY=
 OPENROUTER_API_KEY=
diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 1a42fa5..65340ca 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -6,16 +6,18 @@ Existing OpenAI Responses and Chat Completions, Anthropic Messages, and vLLM rou
 
 ## Selected protocols and configuration
 
-| Provider    | Client                        | Default SDK base URL                                      | Credential                 |
-| ----------- | ----------------------------- | --------------------------------------------------------- | -------------------------- |
-| Together AI | `TogetherAIResponsesClient`   | `https://api.together.ai/v1`                              | `TOGETHER_AI_API_KEY`      |
-| Fireworks   | `FireworksResponsesClient`    | `https://api.fireworks.ai/inference/v1`                   | `FIREWORKS_API_KEY`        |
-| OpenRouter  | `OpenRouterResponsesClient`   | `https://openrouter.ai/api/v1`                            | `OPENROUTER_API_KEY`       |
-| Bedrock     | `BedrockResponsesClient`      | Explicit regional URL required                            | `AWS_BEARER_TOKEN_BEDROCK` |
-| Gemini      | `GeminiChatCompletionsClient` | `https://generativelanguage.googleapis.com/v1beta/openai` | `GEMINI_API_KEY`           |
+| Provider | Client | Default SDK base URL | Credential |
+| --- | --- | --- | --- |
+| Together AI | `TogetherAIResponsesClient` | `https://api.together.ai/v1` | `TOGETHER_AI_API_KEY` |
+| Fireworks | `FireworksResponsesClient` | `https://api.fireworks.ai/inference/v1` | `FIREWORKS_API_KEY` |
+| OpenRouter | `OpenRouterResponsesClient` | `https://openrouter.ai/api/v1` | `OPENROUTER_API_KEY` |
+| Bedrock | `BedrockResponsesClient` | Explicit regional URL required | `AWS_BEARER_TOKEN_BEDROCK` or `BEDROCK_API_KEY` |
+| Gemini | `GeminiChatCompletionsClient` | `https://generativelanguage.googleapis.com/v1beta/openai` | `GEMINI_API_KEY` |
 
 An explicit `api_key` overrides the configured provider key; an empty key fails locally. Missing provider keys cannot fall back to OpenAI credentials. An explicit `base_url` overrides the default without changing the provider or protocol. Authentication and account headers supplied through `extra_headers` cannot override the selected upstream identity.
 
+Bedrock accepts either credential name from the environment or `.env`. `AWS_BEARER_TOKEN_BEDROCK` takes precedence when both names are configured, including across those sources. For the same name, the environment overrides `.env`.
+
 Select the upstream protocol explicitly when it differs from the public method. For example, `Molto.chat_completions(..., provider="openrouter", endpoint="responses")` translates Chat input through the Responses client. The existing method defaults remain unchanged.
 
 Protocol availability is documented by [Together](https://docs.together.ai/docs/inference/responses-api), [Fireworks](https://docs.fireworks.ai/api-reference/post-responses), [OpenRouter](https://openrouter.ai/docs/api_reference/responses/overview), [Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-responses-api.html), and [Gemini](https://ai.google.dev/gemini-api/docs/openai). Availability does not establish support for every model or feature. Together's Responses documentation lists GLM-5.2 and GLM-5.3 families; its earlier Chat model recordings do not validate this protocol.
@@ -40,8 +42,10 @@ The suite checks native SDK parity, actual-output history, normalized lifecycle
 | Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Text, sequential tools, and parallel tools in both native modes with reasoning disabled; streamed unsigned-summary tool history | Unsigned summaries cannot translate; other models and images are unverified |
 | OpenRouter `nvidia/nemotron-3.5-lightning:free` | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
 | Gemini | Configuration, Google attachment, and missing-index regressions | Live recording was blocked by the provider's location restriction |
-| Bedrock | Configuration and credential isolation | No live recording: credentials and model/profile were unavailable |
+| Bedrock `global.openai.gpt-5.6-luna` | Two-turn text and three-turn sequential tools, streaming and non-streaming, with reasoning disabled | Verified only through the runtime endpoint in `ap-southeast-1`; other models, regions, images, parallel calls, and reasoning-enabled continuation are unverified |
+
+Bedrock captures use `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1`, `store=false`, manual actual-output history, and zero retries. The model is an explicit system-defined inference profile. An earlier Mantle `openai.gpt-oss-20b` attempt returned HTTP 200 but stalled after `response.created` and `response.in_progress`; it was stopped after more than five minutes and remains in staging, outside the successful replay corpus.
 
 The retained OpenRouter captures use an explicit free model, disabled provider fallbacks, zero price caps, and no plugins. Reported costs were zero. Responses history is manual with `store=false`. Captures establish only the recorded model, settings, and date; replay does not prove that translated request bodies were executed live.
 
-The duplicate PR #76 corpus, per-run manifests, source snapshots, and unsupported-protocol captures are omitted. Full issue #78 coverage still requires the remaining provider/model cells and the separate Anthropic continuation work in #74/#92.
+The duplicate PR #76 corpus, per-run manifests, source snapshots, and unsupported-protocol captures are omitted. Full issue #78 coverage still requires the remaining provider/model cells.
diff --git a/python/molto/configs.py b/python/molto/configs.py
index 2be1267..12470f9 100644
--- a/python/molto/configs.py
+++ b/python/molto/configs.py
@@ -1,7 +1,8 @@
 import sys
+from typing import Annotated
 
 from loguru import logger
-from pydantic import SecretStr
+from pydantic import AliasChoices, Field, SecretStr
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 MIN_HS256_SECRET_BYTES = 32
@@ -24,7 +25,10 @@ class EnvConfig(BaseSettings):
     molto_log_level_stderr: str = "INFO"
     # External services
     anthropic_api_key: SecretStr = ""
-    aws_bearer_token_bedrock: SecretStr = ""
+    aws_bearer_token_bedrock: Annotated[
+        SecretStr,
+        Field(validation_alias=AliasChoices("aws_bearer_token_bedrock", "BEDROCK_API_KEY")),
+    ] = ""
     deepseek_api_key: SecretStr = ""
     fireworks_api_key: SecretStr = ""
     gemini_api_key: SecretStr = ""
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index 4e00e80..c37c47d 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -16,7 +16,7 @@ Treat these files as provider evidence. Do not edit a recorded value merely to m
 
 `upstream_ir/{scenario}/{provider}-{endpoint}-stream-{turn}.yaml` contains independent, unchanged provider recordings for `tests/upstream/test_multi_turn.py`. The scenarios are two-turn `text_chat`, `text_image_chat`, and `consecutive_user_text`, plus three-turn `tool_use` and `tool_use_reasoning`. Text, multimodal input, consecutive user messages, and tool use cover all three upstream clients; reasoning tool use covers Responses and Messages.
 
-Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
+Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. Bedrock text/tool captures use `bedrock-responses-{mode}-{turn:02}.yaml` and retain the explicit regional runtime URL; replay takes the destination from the recorded exchange. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
 
 `text_image_chat` sends text, an image, and trailing text in one user message on each turn, using the existing `tests/files/github.png` and `tests/files/xlsx.jpg` fixtures as data URLs. `consecutive_user_text` sends two adjacent user messages, each with two text parts, before each assistant response. Both scenarios retain actual assistant output as history and assert that the input IR is not mutated. They also inspect outgoing message roles and content grouping independently of cassette equality, so the expected fixtures cannot silently permit merged user messages or split multimodal parts. These are upstream-client projection checks; incoming request normalization remains covered by the adapter tests.
 
diff --git a/tests/cassettes/upstream_ir/text_chat/bedrock-responses-non_stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/bedrock-responses-non_stream-00.yaml
new file mode 100644
index 0000000..1eb42a2
--- /dev/null
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new file mode 100644
index 0000000..8792d25
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/bedrock-responses-non_stream-01.yaml
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+filename: 2026-11-05-01a1aab8-eb06-71e2-8b54-d9dc91003d4a
+request:
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+        text: Rooty McSprout.
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new file mode 100644
index 0000000..b23f21b
--- /dev/null
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diff --git a/tests/cassettes/upstream_ir/text_chat/bedrock-responses-stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/bedrock-responses-stream-01.yaml
new file mode 100644
index 0000000..dd662da
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/bedrock-responses-stream-01.yaml
@@ -0,0 +1,430 @@
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index 0000000..332b84b
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+  - 'data: {"item":{"arguments":"{\"path\":\"garden.txt\"}","call_id":"call_832dd15bb178544bbaf5f59cb6c66241","id":"fc_cabb51fd142754369edc77b439734db5","name":"read_file","status":"completed","type":"function_call"},"output_index":0,"sequence_number":10,"type":"response.output_item.done"}
+
+    '
+  - '
+
+    '
+  - 'data: {"response":{"background":false,"completed_at":1793865611,"created_at":1793865610,"error":null,"frequency_penalty":0.0,"id":"resp_nukjjaf42tep7ovkqftyottixuqnxxax4p7weuu5b43cmytp725q","incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"metadata":{},"model":"global.openai.gpt-5.6-luna","object":"response","output":[{"arguments":"{\"path\":\"garden.txt\"}","call_id":"call_832dd15bb178544bbaf5f59cb6c66241","id":"fc_cabb51fd142754369edc77b439734db5","name":"read_file","status":"completed","type":"function_call"}],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"summary":null,"effort":"none","context":"all_turns"},"safety_identifier":null,"service_tier":"default","status":"completed","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"description":"Read
+    a file by its path.","name":"read_file","output_schema":null,"parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false,"type":"function"}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":181,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":19,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":200},"user":null,"moderation":null},"sequence_number":11,"type":"response.completed"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T08:00:10.068955+00:00'
+upstream_url: https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1/responses
diff --git a/tests/cassettes/upstream_ir/tool_use/bedrock-responses-stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/bedrock-responses-stream-02.yaml
new file mode 100644
index 0000000..f655fed
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/bedrock-responses-stream-02.yaml
@@ -0,0 +1,197 @@
+filename: 2026-11-05-01a1aab8-f7a9-7140-ba69-93624ea286ab
+request:
+  body:
+    input:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: input_text
+      role: user
+    - arguments: '{"path":"index.txt"}'
+      call_id: call_c80a312cdcb9565ba95378477b5a66cc
+      id: fc_952eccd443bc551ea316b2dfc89f16af
+      name: read_file
+      status: completed
+      type: function_call
+    - call_id: call_c80a312cdcb9565ba95378477b5a66cc
+      output:
+      - text: garden.txt
+        type: input_text
+      type: function_call_output
+    - arguments: '{"path":"garden.txt"}'
+      call_id: call_832dd15bb178544bbaf5f59cb6c66241
+      id: fc_cabb51fd142754369edc77b439734db5
+      name: read_file
+      status: completed
+      type: function_call
+    - call_id: call_832dd15bb178544bbaf5f59cb6c66241
+      output:
+      - text: Water the tomatoes every morning and harvest ripe fruit.
+        type: input_text
+      type: function_call_output
+    max_output_tokens: 1024
+    model: global.openai.gpt-5.6-luna
+    parallel_tool_calls: false
+    reasoning:
+      effort: none
+    store: false
+    stream: true
+    tool_choice: auto
+    tools:
+    - description: Read a file by its path.
+      name: read_file
+      parameters:
+        additionalProperties: false
+        properties:
+          path:
+            type: string
+        required:
+        - path
+        type: object
+      strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate, br
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1310'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /openai/v1/responses
+  query_params: {}
+request_id: 01a1aab8-f7a9-7140-ba69-93624ea286ab
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: d79dad9a-9a51-40da-b844-ba3aaf1aff0c
+  sse:
+  - 'data: {"response":{"background":false,"completed_at":null,"created_at":1793865611,"error":null,"frequency_penalty":0.0,"id":"resp_jdxo56t7dvjd4rto2ebrnpapecby25y3vu4y5uvd377g4lk24dgq","incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"metadata":{},"model":"global.openai.gpt-5.6-luna","object":"response","output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"summary":null,"effort":"none","context":"all_turns"},"safety_identifier":null,"service_tier":"auto","status":"in_progress","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"description":"Read
+    a file by its path.","name":"read_file","output_schema":null,"parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false,"type":"function"}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"moderation":null},"sequence_number":0,"type":"response.created"}
+
+    '
+  - '
+
+    '
+  - 'data: {"response":{"background":false,"completed_at":null,"created_at":1793865611,"error":null,"frequency_penalty":0.0,"id":"resp_jdxo56t7dvjd4rto2ebrnpapecby25y3vu4y5uvd377g4lk24dgq","incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"metadata":{},"model":"global.openai.gpt-5.6-luna","object":"response","output":[],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"summary":null,"effort":"none","context":"all_turns"},"safety_identifier":null,"service_tier":"auto","status":"in_progress","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"description":"Read
+    a file by its path.","name":"read_file","output_schema":null,"parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false,"type":"function"}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":null,"user":null,"moderation":null},"sequence_number":1,"type":"response.in_progress"}
+
+    '
+  - '
+
+    '
+  - 'data: {"item":{"content":[],"id":"msg_b97e18ab57da56d89a6008b7604beea8","phase":"final_answer","role":"assistant","status":"in_progress","type":"message"},"output_index":0,"sequence_number":2,"type":"response.output_item.added"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"item_id":"msg_b97e18ab57da56d89a6008b7604beea8","output_index":0,"part":{"annotations":[],"logprobs":[],"text":"","type":"output_text"},"sequence_number":3,"type":"response.content_part.added"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":"Water","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDE","output_index":0,"sequence_number":4,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" the","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDEFGHIJ","output_index":0,"sequence_number":5,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" tomatoes","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefgh","output_index":0,"sequence_number":6,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" every","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDE","output_index":0,"sequence_number":7,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" morning","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXY","output_index":0,"sequence_number":8,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" and","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNO","output_index":0,"sequence_number":9,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" harvest","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ012","output_index":0,"sequence_number":10,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" ripe","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijk","output_index":0,"sequence_number":11,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":" fruit","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklm","output_index":0,"sequence_number":12,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"delta":".","item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"obfuscation":"abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTU","output_index":0,"sequence_number":13,"type":"response.output_text.delta"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"item_id":"msg_b97e18ab57da56d89a6008b7604beea8","logprobs":[],"output_index":0,"sequence_number":14,"text":"Water
+    the tomatoes every morning and harvest ripe fruit.","type":"response.output_text.done"}
+
+    '
+  - '
+
+    '
+  - 'data: {"content_index":0,"item_id":"msg_b97e18ab57da56d89a6008b7604beea8","output_index":0,"part":{"annotations":[],"logprobs":[],"text":"Water
+    the tomatoes every morning and harvest ripe fruit.","type":"output_text"},"sequence_number":15,"type":"response.content_part.done"}
+
+    '
+  - '
+
+    '
+  - 'data: {"item":{"content":[{"annotations":[],"logprobs":[],"text":"Water the tomatoes
+    every morning and harvest ripe fruit.","type":"output_text"}],"id":"msg_b97e18ab57da56d89a6008b7604beea8","phase":"final_answer","role":"assistant","status":"completed","type":"message"},"output_index":0,"sequence_number":16,"type":"response.output_item.done"}
+
+    '
+  - '
+
+    '
+  - 'data: {"response":{"background":false,"completed_at":1793865611,"created_at":1793865611,"error":null,"frequency_penalty":0.0,"id":"resp_jdxo56t7dvjd4rto2ebrnpapecby25y3vu4y5uvd377g4lk24dgq","incomplete_details":null,"instructions":null,"max_output_tokens":1024,"max_tool_calls":null,"metadata":{},"model":"global.openai.gpt-5.6-luna","object":"response","output":[{"content":[{"annotations":[],"logprobs":[],"text":"Water
+    the tomatoes every morning and harvest ripe fruit.","type":"output_text"}],"id":"msg_b97e18ab57da56d89a6008b7604beea8","phase":"final_answer","role":"assistant","status":"completed","type":"message"}],"parallel_tool_calls":false,"presence_penalty":0.0,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":"in_memory","reasoning":{"summary":null,"effort":"none","context":"all_turns"},"safety_identifier":null,"service_tier":"default","status":"completed","store":false,"temperature":1.0,"text":{"format":{"type":"text"},"verbosity":"medium"},"tool_choice":"auto","tools":[{"description":"Read
+    a file by its path.","name":"read_file","output_schema":null,"parameters":{"additionalProperties":false,"properties":{"path":{"type":"string"}},"required":["path"],"type":"object"},"strict":false,"type":"function"}],"top_logprobs":0,"top_p":0.98,"truncation":"disabled","usage":{"input_tokens":221,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":14,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":235},"user":null,"moderation":null},"sequence_number":17,"type":"response.completed"}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T08:00:11.177722+00:00'
+upstream_url: https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1/responses
diff --git a/tests/test_hosted_providers.py b/tests/test_hosted_providers.py
index 5faad6d..6747aed 100644
--- a/tests/test_hosted_providers.py
+++ b/tests/test_hosted_providers.py
@@ -10,7 +10,7 @@
 from pydantic import SecretStr
 
 from molto import Molto
-from molto.configs import ENV_CONFIG
+from molto.configs import ENV_CONFIG, EnvConfig
 from molto.providers import PROVIDER_CAPABILITIES, PROVIDER_KEY_NAMES
 from molto.upstream.registry import CLIENTS
 from molto.utils.io import dumps_sse, json_loads, read_yaml
@@ -34,6 +34,68 @@
 ]
 
 
+@pytest.mark.parametrize("source", ["environment", "dotenv"])
+@pytest.mark.parametrize(
+    "names",
+    [
+        ["AWS_BEARER_TOKEN_BEDROCK"],
+        ["BEDROCK_API_KEY"],
+        ["AWS_BEARER_TOKEN_BEDROCK", "BEDROCK_API_KEY"],
+    ],
+)
+def test_bedrock_credential_alias_preserves_secret_and_name_precedence(
+    source, names, monkeypatch, tmp_path
+):
+    """Ensures both names load one secret field, preferring the AWS name within each source."""
+    for name in ("AWS_BEARER_TOKEN_BEDROCK", "BEDROCK_API_KEY"):
+        monkeypatch.delenv(name, raising=False)
+    values = {name: f"synthetic-{index}" for index, name in enumerate(names)}
+    env_file = None
+    if source == "environment":
+        for name, value in values.items():
+            monkeypatch.setenv(name, value)
+    else:
+        env_file = tmp_path / ".env"
+        env_file.write_text("\n".join(f"{name}={value}" for name, value in values.items()))
+    config = EnvConfig(_env_file=env_file)
+    credential = config.aws_bearer_token_bedrock
+    assert isinstance(credential, SecretStr)
+    assert credential.get_secret_value() == "synthetic-0"
+    assert str(credential) == "**********"
+    assert config.model_dump()["aws_bearer_token_bedrock"] is credential
+
+
+@pytest.mark.parametrize("field", ["aws_bearer_token_bedrock", "BEDROCK_API_KEY"])
+def test_bedrock_constructor_credential_overrides_environment(field, monkeypatch):
+    """Ensures explicit settings construction keeps precedence over either environment name."""
+    monkeypatch.setenv("AWS_BEARER_TOKEN_BEDROCK", "synthetic-aws")
+    monkeypatch.setenv("BEDROCK_API_KEY", "synthetic-alias")
+    config = EnvConfig(_env_file=None, **{field: "synthetic-explicit"})
+    assert config.aws_bearer_token_bedrock.get_secret_value() == "synthetic-explicit"
+
+
+@pytest.mark.parametrize(
+    ("environment_name", "dotenv_name", "expected"),
+    [
+        ("AWS_BEARER_TOKEN_BEDROCK", "AWS_BEARER_TOKEN_BEDROCK", "synthetic-environment"),
+        ("BEDROCK_API_KEY", "BEDROCK_API_KEY", "synthetic-environment"),
+        ("AWS_BEARER_TOKEN_BEDROCK", "BEDROCK_API_KEY", "synthetic-environment"),
+        ("BEDROCK_API_KEY", "AWS_BEARER_TOKEN_BEDROCK", "synthetic-file"),
+    ],
+)
+def test_bedrock_alias_and_source_precedence(
+    environment_name, dotenv_name, expected, monkeypatch, tmp_path
+):
+    """Ensures the AWS name takes priority while same-name environment values override dotenv."""
+    for name in ("AWS_BEARER_TOKEN_BEDROCK", "BEDROCK_API_KEY"):
+        monkeypatch.delenv(name, raising=False)
+    monkeypatch.setenv(environment_name, "synthetic-environment")
+    env_file = tmp_path / ".env"
+    env_file.write_text(f"{dotenv_name}=synthetic-file\n")
+    config = EnvConfig(_env_file=env_file)
+    assert config.aws_bearer_token_bedrock.get_secret_value() == expected
+
+
 def cassette(protocol, stream):
     mode = "stream" if stream else "non_stream"
     path = Path(__file__).parent / "cassettes/matched/simple_text"
diff --git a/tests/upstream/test_multi_turn.py b/tests/upstream/test_multi_turn.py
index 667707e..34aa2a0 100644
--- a/tests/upstream/test_multi_turn.py
+++ b/tests/upstream/test_multi_turn.py
@@ -33,6 +33,7 @@
     UserInput,
 )
 from molto.upstream.anthropic import AnthropicMessagesClient
+from molto.upstream.bedrock import BedrockResponsesClient
 from molto.upstream.fireworks import FireworksResponsesClient
 from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 from molto.upstream.openrouter import OpenRouterResponsesClient
@@ -43,6 +44,7 @@
     OpenAIResponsesClient: ("openai", "responses"),
     OpenAIChatCompletionsClient: ("openai", "chat_completions"),
     AnthropicMessagesClient: ("anthropic", "messages"),
+    BedrockResponsesClient: ("bedrock", "responses"),
     FireworksResponsesClient: ("fireworks", "responses"),
     OpenRouterResponsesClient: ("openrouter", "responses"),
     TogetherAIResponsesClient: ("togetherai", "responses"),
@@ -490,13 +492,14 @@ async def test_provider_native_responses_conversation(provider, scenario, mode):
     history = deepcopy(cassettes[0]["request"]["body"]["input"])
     for turn, cassette in enumerate(cassettes):
         recorded = cassette["request"]["body"]
+        base_url = cassette["upstream_url"].removesuffix("/responses")
         assert history == recorded["input"]
         body, extras = _sdk_body({**recorded, "input": history})
         calls = []
 
         def handle(request, cassette=cassette, recorded=recorded, calls=calls):
             calls.append(request)
-            assert request.url.path == cassette["request"]["path"]
+            assert str(request.url) == cassette["upstream_url"]
             assert request.headers["authorization"] == "Bearer test-key"
             assert json_loads(request.content) == recorded
             return _recorded_response(cassette)
@@ -504,7 +507,7 @@ def handle(request, cassette=cassette, recorded=recorded, calls=calls):
         async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
             sdk = AsyncOpenAI(
                 api_key="test-key",
-                base_url=PROVIDER_RESPONSES_CLIENTS[provider].DEFAULT_BASE_URL,
+                base_url=base_url,
                 http_client=transport,
                 max_retries=0,
             )
@@ -516,7 +519,11 @@ def handle(request, cassette=cassette, recorded=recorded, calls=calls):
         ) as molto:
             actual, actual_events = await _collect_responses(
                 await molto.responses(
-                    body, provider=provider, api_key="test-key", extra_body=extras
+                    body,
+                    provider=provider,
+                    api_key="test-key",
+                    base_url=base_url,
+                    extra_body=extras,
                 ),
                 stream,
             )
@@ -578,7 +585,9 @@ def _expected_responses_wire(recorded):
         if item.get("role") == "assistant":
             # IR text parts do not carry their enclosing source message's ID.
             item.pop("id", None)
-            assert item.get("phase") is None
+            # Reconstructed Responses history intentionally omits native phase;
+            # the SDK parity path above still preserves the provider's value.
+            assert item.get("phase") in (None, "commentary", "final_answer")
             item.pop("phase", None)
             for part in item["content"]:
                 part.setdefault("annotations", [])
@@ -615,13 +624,16 @@ async def test_provider_normalized_responses_conversation(provider, scenario, mo
         ]
     for turn, cassette in enumerate(cassettes):
         recorded = cassette["request"]["body"]
+        base_url = cassette["upstream_url"].removesuffix("/responses")
         body, extras = _sdk_body(recorded)
         async with httpx.AsyncClient(
             transport=httpx.MockTransport(
                 lambda _, cassette=cassette: _recorded_response(cassette)
             )
         ) as transport:
-            sdk = AsyncOpenAI(api_key="test-key", http_client=transport, max_retries=0)
+            sdk = AsyncOpenAI(
+                api_key="test-key", base_url=base_url, http_client=transport, max_retries=0
+            )
             reference, source_events = await _collect_responses(
                 await sdk.responses.create(**body, extra_body=extras), True
             )
@@ -630,7 +642,7 @@ async def test_provider_normalized_responses_conversation(provider, scenario, mo
 
         def handle(http_request, expected=expected, cassette=cassette, calls=calls):
             calls.append(http_request)
-            assert http_request.url.path == cassette["request"]["path"]
+            assert str(http_request.url) == cassette["upstream_url"]
             assert json_loads(http_request.content) == expected
             return _recorded_response(cassette)
 
@@ -657,6 +669,7 @@ def handle(http_request, expected=expected, cassette=cassette, calls=calls):
                 transport,
                 api_key="test-key",
                 capabilities=client_type.resolve_capabilities(PROVIDER_CAPABILITIES[provider]),
+                base_url=base_url,
                 extra_body=controls,
             )
             before = request.model_copy(deep=True)
@@ -732,11 +745,14 @@ async def test_provider_reasoning_public_projection(provider, downstream, stream
     """Ensures public projections preserve raw reasoning or reject unsigned summaries from actual Responses evidence."""
     cassette = _provider_turns(provider, "tool_use_reasoning", "stream")[0]
     recorded = cassette["request"]["body"]
+    base_url = cassette["upstream_url"].removesuffix("/responses")
     sdk_body, extras = _sdk_body(recorded)
     async with httpx.AsyncClient(
         transport=httpx.MockTransport(lambda _: _recorded_response(cassette))
     ) as transport:
-        sdk = AsyncOpenAI(api_key="test-key", http_client=transport, max_retries=0)
+        sdk = AsyncOpenAI(
+            api_key="test-key", base_url=base_url, http_client=transport, max_retries=0
+        )
         reference, _ = await _collect_responses(
             await sdk.responses.create(**sdk_body, extra_body=extras), True
         )
@@ -781,7 +797,7 @@ async def test_provider_reasoning_public_projection(provider, downstream, stream
 
     def handle(request):
         calls.append(request)
-        assert request.url.path == cassette["request"]["path"]
+        assert str(request.url) == cassette["upstream_url"]
         assert json_loads(request.content) == expected
         return _recorded_response(cassette)
 
@@ -800,6 +816,7 @@ def handle(request):
                     body,
                     provider=provider,
                     endpoint="responses",
+                    base_url=base_url,
                     api_key="test-key",
                     extra_body=controls,
                 )
@@ -809,7 +826,12 @@ def handle(request):
             assert len(calls) == 1
             return
         result = await getattr(molto, downstream)(
-            body, provider=provider, endpoint="responses", api_key="test-key", extra_body=controls
+            body,
+            provider=provider,
+            endpoint="responses",
+            base_url=base_url,
+            api_key="test-key",
+            extra_body=controls,
         )
         if stream:
             actual = None

From 634a0fa901e0b1fbc84afa951de6f27a0b56f120 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Thu, 5 Nov 2026 14:58:42 +0000
Subject: [PATCH 12/15] feat: Add hosted Chat Completions clients and replay
 coverage

---
 docs/provider-compatibility.md                |   32 +-
 python/ARCHITECTURE.md                        |    2 +-
 python/CONVENTIONS.md                         |    2 +-
 python/molto/upstream/bedrock.py              |    7 +-
 python/molto/upstream/fireworks.py            |    9 +-
 python/molto/upstream/registry.py             |    9 +-
 python/molto/upstream/together.py             |    9 +-
 tests/cassettes/README.md                     |    6 +-
 ...edrock-chat_completions-non_stream-00.yaml |   73 +
 ...edrock-chat_completions-non_stream-01.yaml |   87 +
 .../bedrock-chat_completions-stream-00.yaml   |   86 +
 .../bedrock-chat_completions-stream-01.yaml   |  385 ++
 ...eworks-chat_completions-non_stream-00.yaml |  146 +
 ...eworks-chat_completions-non_stream-01.yaml |  201 +
 .../fireworks-chat_completions-stream-00.yaml | 2052 +++++++++
 .../fireworks-chat_completions-stream-01.yaml | 2843 ++++++++++++
 ...therai-chat_completions-non_stream-00.yaml |  155 +
 ...therai-chat_completions-non_stream-01.yaml |  244 +
 ...togetherai-chat_completions-stream-00.yaml | 3641 +++++++++++++++
 ...togetherai-chat_completions-stream-01.yaml | 3970 +++++++++++++++++
 ...edrock-chat_completions-non_stream-00.yaml |   99 +
 ...edrock-chat_completions-non_stream-01.yaml |  112 +
 ...edrock-chat_completions-non_stream-02.yaml |  117 +
 .../bedrock-chat_completions-stream-00.yaml   |  121 +
 .../bedrock-chat_completions-stream-01.yaml   |  137 +
 .../bedrock-chat_completions-stream-02.yaml   |  201 +
 ...eworks-chat_completions-non_stream-00.yaml |   93 +
 ...eworks-chat_completions-non_stream-01.yaml |  105 +
 ...eworks-chat_completions-non_stream-02.yaml |  109 +
 .../fireworks-chat_completions-stream-00.yaml |  110 +
 .../fireworks-chat_completions-stream-01.yaml |  127 +
 .../fireworks-chat_completions-stream-02.yaml |  244 +
 ...therai-chat_completions-non_stream-00.yaml |   86 +
 ...therai-chat_completions-non_stream-01.yaml |   97 +
 ...therai-chat_completions-non_stream-02.yaml |  103 +
 ...togetherai-chat_completions-stream-00.yaml |  100 +
 ...togetherai-chat_completions-stream-01.yaml |  116 +
 ...togetherai-chat_completions-stream-02.yaml |  236 +
 tests/test_hosted_providers.py                |   17 +-
 tests/upstream/test_multi_turn.py             |  280 +-
 40 files changed, 16510 insertions(+), 59 deletions(-)
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-02.yaml

diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 65340ca..9cbf34a 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -1,6 +1,6 @@
 # Provider compatibility
 
-Each added provider has one explicit upstream client, choosing Responses when available, then Messages, then Chat Completions. Thin subclasses share the protocol implementation. `molto.upstream.registry.CLIENTS` selects the client; unsupported provider/endpoint pairs fail locally instead of silently switching protocols.
+Each supported provider/protocol pair has its own explicit upstream client. Each class implements one protocol, and thin subclasses share the protocol implementation. Prefer Responses when it supports the desired model and capabilities, then Messages, then Chat Completions. `molto.upstream.registry.CLIENTS` selects the client; unsupported provider/endpoint pairs fail locally instead of silently switching protocols.
 
 Existing OpenAI Responses and Chat Completions, Anthropic Messages, and vLLM routes remain available. Cross-vendor configurations such as OpenAI Messages and Anthropic Responses are unsupported.
 
@@ -8,10 +8,10 @@ Existing OpenAI Responses and Chat Completions, Anthropic Messages, and vLLM rou
 
 | Provider | Client | Default SDK base URL | Credential |
 | --- | --- | --- | --- |
-| Together AI | `TogetherAIResponsesClient` | `https://api.together.ai/v1` | `TOGETHER_AI_API_KEY` |
-| Fireworks | `FireworksResponsesClient` | `https://api.fireworks.ai/inference/v1` | `FIREWORKS_API_KEY` |
+| Together AI | `TogetherAIResponsesClient`, `TogetherAIChatCompletionsClient` | `https://api.together.ai/v1` | `TOGETHER_AI_API_KEY` |
+| Fireworks | `FireworksResponsesClient`, `FireworksChatCompletionsClient` | `https://api.fireworks.ai/inference/v1` | `FIREWORKS_API_KEY` |
 | OpenRouter | `OpenRouterResponsesClient` | `https://openrouter.ai/api/v1` | `OPENROUTER_API_KEY` |
-| Bedrock | `BedrockResponsesClient` | Explicit regional URL required | `AWS_BEARER_TOKEN_BEDROCK` or `BEDROCK_API_KEY` |
+| Bedrock | `BedrockResponsesClient`, `BedrockChatCompletionsClient` | Explicit regional URL required | `AWS_BEARER_TOKEN_BEDROCK` or `BEDROCK_API_KEY` |
 | Gemini | `GeminiChatCompletionsClient` | `https://generativelanguage.googleapis.com/v1beta/openai` | `GEMINI_API_KEY` |
 
 An explicit `api_key` overrides the configured provider key; an empty key fails locally. Missing provider keys cannot fall back to OpenAI credentials. An explicit `base_url` overrides the default without changing the provider or protocol. Authentication and account headers supplied through `extra_headers` cannot override the selected upstream identity.
@@ -20,13 +20,13 @@ Bedrock accepts either credential name from the environment or `.env`. `AWS_BEAR
 
 Select the upstream protocol explicitly when it differs from the public method. For example, `Molto.chat_completions(..., provider="openrouter", endpoint="responses")` translates Chat input through the Responses client. The existing method defaults remain unchanged.
 
-Protocol availability is documented by [Together](https://docs.together.ai/docs/inference/responses-api), [Fireworks](https://docs.fireworks.ai/api-reference/post-responses), [OpenRouter](https://openrouter.ai/docs/api_reference/responses/overview), [Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-responses-api.html), and [Gemini](https://ai.google.dev/gemini-api/docs/openai). Availability does not establish support for every model or feature. Together's Responses documentation lists GLM-5.2 and GLM-5.3 families; its earlier Chat model recordings do not validate this protocol.
+Protocol availability is documented by [Together](https://docs.together.ai/docs/inference/responses-api), [Fireworks](https://docs.fireworks.ai/api-reference/post-responses), [OpenRouter](https://openrouter.ai/docs/api_reference/responses/overview), [Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-responses-api.html), and [Gemini](https://ai.google.dev/gemini-api/docs/openai). Availability does not establish support for every model or feature. Together's Responses documentation lists GLM-5.2 and GLM-5.3 families; its Chat Completions recordings do not validate Responses for those Chat models. Together, Fireworks, and Bedrock expose separate Chat Completions clients to reach models and capabilities available through that protocol. Bedrock's [Chat Completions guide](https://docs.aws.amazon.com/bedrock/latest/userguide/inference-chat-completions.html) documents the regional runtime and Mantle destinations; callers must choose a destination supported by their model.
 
 ## Provider differences
 
 OpenRouter Responses identifies raw text and summaries explicitly. Its client accepts unsigned raw reasoning, including the recorded `format: "unknown"`, or a summary with its required signature. Named formats, formatted summaries, mixed representations, and mid-item representation changes reject. Native passthrough preserves the original fields. Raw reasoning projects to Chat and Messages; signed summaries can project to Messages. Incoming unsigned Messages thinking still follows the summary-input contract and rejects, so this output support does not establish a complete Messages reasoning round trip.
 
-Fireworks Responses uses the summary profile. Its recorded low-reasoning output contains unsigned summaries, which remain valid native evidence but reject during normalization. Together uses the raw reasoning profile.
+Fireworks Responses uses the summary profile. Its recorded low-reasoning output contains unsigned summaries, which remain valid native evidence but reject during normalization. Together uses the raw reasoning profile. The Chat Completions recordings disable reasoning; they do not establish reasoning-enabled compatibility for Bedrock or Fireworks.
 
 Gemini Chat preserves opaque `extra_content.google` attachments on messages, content parts, and function calls, including nested nulls. Translation rejects populated opaque state. Missing streamed tool indices are repaired only when the call identity is unambiguous; ambiguous output rejects rather than losing calls.
 
@@ -36,15 +36,19 @@ Provider conversations share `tests/upstream/test_multi_turn.py`. Cassettes use
 
 The suite checks native SDK parity, actual-output history, normalized lifecycle and semantics, exact expected subsequent requests, and focused public translation or rejection cases. Independent SDK responses supply the comparison values. Expected normalized request copies account for documented wire representations and omitted optional metadata; recorded fixtures are not rewritten to match Molto output.
 
-| Provider/model | Retained conversation evidence | Remaining limits |
-| --- | --- | --- |
-| Together `zai-org/GLM-5.2` | Two-turn text and three-turn sequential tools, streaming and non-streaming, with minimal reasoning | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
-| Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Text, sequential tools, and parallel tools in both native modes with reasoning disabled; streamed unsigned-summary tool history | Unsigned summaries cannot translate; other models and images are unverified |
-| OpenRouter `nvidia/nemotron-3.5-lightning:free` | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
-| Gemini | Configuration, Google attachment, and missing-index regressions | Live recording was blocked by the provider's location restriction |
-| Bedrock `global.openai.gpt-5.6-luna` | Two-turn text and three-turn sequential tools, streaming and non-streaming, with reasoning disabled | Verified only through the runtime endpoint in `ap-southeast-1`; other models, regions, images, parallel calls, and reasoning-enabled continuation are unverified |
+| Provider/model | Protocol | Retained conversation evidence | Remaining limits |
+| --- | --- | --- | --- |
+| Together `zai-org/GLM-5.2` | Responses | Two-turn text and three-turn sequential tools, streaming and non-streaming, with minimal reasoning | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
+| Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Responses | Text, sequential tools, and parallel tools in both native modes with reasoning disabled; streamed unsigned-summary tool history | Unsigned summaries cannot translate; other models and images are unverified |
+| Together `Qwen/Qwen3.5-9B` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning.enabled=false` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
+| Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning_effort="none"` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
+| OpenRouter `nvidia/nemotron-3.5-lightning:free` | Responses | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
+| Gemini | Chat Completions | Configuration, Google attachment, and missing-index regressions | Live recording was blocked by the provider's location restriction |
+| Bedrock `global.openai.gpt-5.6-luna` | Responses and Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with reasoning disabled | Verified only through the runtime endpoint in `ap-southeast-1`; other models, regions, images, parallel calls, and reasoning-enabled continuation are unverified |
+
+Bedrock captures use `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1`, manual actual-output history, and zero retries. Responses requests use `store=false`; Chat Completions requests use `reasoning_effort="none"`. The model is an explicit system-defined inference profile. An earlier Mantle `openai.gpt-oss-20b` attempt returned HTTP 200 but stalled after `response.created` and `response.in_progress`; it was stopped after more than five minutes and remains in staging, outside the successful replay corpus. A Chat Completions attempt with `mistral.ministral-3-3b-instruct` returned an invalid-model HTTP 400 on runtime and timed out after 75 seconds on Mantle; neither attempt is successful replay evidence. The Singapore endpoint and global inference profile do not establish that inference occurred in Singapore.
 
-Bedrock captures use `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1`, `store=false`, manual actual-output history, and zero retries. The model is an explicit system-defined inference profile. An earlier Mantle `openai.gpt-oss-20b` attempt returned HTTP 200 but stalled after `response.created` and `response.in_progress`; it was stopped after more than five minutes and remains in staging, outside the successful replay corpus.
+Chat Completions continuation retains the actual SDK output. Together repeats `delta.role`; the SDK accumulator concatenates these values, so the recording caller and replay helper restore the single `assistant` role before reuse. Fireworks rejects null output-only fields in assistant history, so its recording caller and replay helper omit those nulls. These are history-construction choices in the evidence workflow; native production output remains unchanged. Native parity sends input copies without empty output-only annotations, null `reasoning_content`/`tool_calls`, or stream-only tool indices, which are absent from the Chat request schema. The recorded source history is still checked against actual SDK output, and response bytes remain unchanged.
 
 The retained OpenRouter captures use an explicit free model, disabled provider fallbacks, zero price caps, and no plugins. Reported costs were zero. Responses history is manual with `store=false`. Captures establish only the recorded model, settings, and date; replay does not prove that translated request bodies were executed live.
 
diff --git a/python/ARCHITECTURE.md b/python/ARCHITECTURE.md
index 68a4c9e..e083a89 100644
--- a/python/ARCHITECTURE.md
+++ b/python/ARCHITECTURE.md
@@ -32,7 +32,7 @@ Any desired provider-specific endpoint default, forced switch, or override belon
 
 This defines ownership of any future routing policy; it does not introduce automatic endpoint switching. The current explicit-provider behavior described above remains unchanged.
 
-Each supported `(provider, endpoint)` route has an explicit class in `upstream/registry.py`, including thin subclasses where the shared implementation is sufficient. New providers use one protocol, preferring Responses, then Messages, then Chat Completions. Together, Fireworks, OpenRouter, and Bedrock use Responses; Gemini uses Chat Completions. Existing canonical OpenAI/Anthropic clients and vLLM routes remain available. Cross-vendor aliases such as OpenAI Messages and Anthropic Responses are unsupported. `Molto` rejects an unregistered pair without switching endpoints. Provider classes own their default destination, required credential name, and protocol-specific capability adjustments; the coordinator resolves configured credentials and explicit overrides. Bedrock requires an explicit regional destination.
+Each supported `(provider, endpoint)` route has an explicit class in `upstream/registry.py`, including thin subclasses where the shared implementation is sufficient. Prefer Responses for a model and capability it supports, then Messages, then Chat Completions. Together, Fireworks, and Bedrock each have separate Responses and Chat Completions classes; OpenRouter uses Responses and Gemini uses Chat Completions. Each class remains single-protocol, and registering a provider does not establish support for its entire model catalog. Existing canonical OpenAI/Anthropic clients and vLLM routes remain available. Cross-vendor aliases such as OpenAI Messages and Anthropic Responses are unsupported. `Molto` rejects an unregistered pair without switching endpoints. Provider classes own their default destination, required credential name, and protocol-specific capability adjustments; the coordinator resolves configured credentials and explicit overrides. Bedrock requires an explicit regional destination.
 
 ## Architectural goal
 
diff --git a/python/CONVENTIONS.md b/python/CONVENTIONS.md
index aa890e7..a9e0609 100644
--- a/python/CONVENTIONS.md
+++ b/python/CONVENTIONS.md
@@ -34,7 +34,7 @@ Keep these three concepts separate:
 
 Do not treat an endpoint or URL hostname as evidence about provider behavior. A coordinator may supply a documented canonical provider when the caller omits one, but an explicit provider must override that convenience default independently of the endpoint and base URL. Keep shared provider profiles in `PROVIDER_CAPABILITIES`; resolve protocol-specific adjustments through the selected client's `resolve_capabilities()` and pass that resolved profile explicitly to adapters and clients.
 
-Add one explicit client per new provider, choosing Responses when available, then Messages, then Chat Completions. Thin subclasses are appropriate when the shared protocol implementation is sufficient. Keep destination and credential defaults on the provider client, while `Molto` resolves configured credentials and request overrides. Inherit common protocol behavior and override only demonstrated provider differences. Extend `tests/upstream/test_multi_turn.py` with actual provider recordings instead of creating a parallel conversation suite or replaying another provider's fixtures as provider evidence.
+Add one explicit client per supported provider/protocol pair. Each client implements exactly one protocol. Prefer Responses when it supports the desired model and capabilities, then Messages, then Chat Completions; add separate clients when another protocol is needed for model coverage. Thin subclasses are appropriate when the shared protocol implementation is sufficient. Keep destination and credential defaults on the provider client, while `Molto` resolves configured credentials and request overrides. Inherit common protocol behavior and override only demonstrated provider differences. Extend `tests/upstream/test_multi_turn.py` with actual provider recordings instead of creating a parallel conversation suite or replaying another provider's fixtures as provider evidence.
 
 Keep upstream clients specific to one supported wire protocol; never switch or override endpoints inside a client. Any desired endpoint override belongs in `Molto`, before client selection and the native-versus-translated route decision. See [endpoint selection ownership](ARCHITECTURE.md#endpoint-selection-belongs-to-the-coordinator).
 
diff --git a/python/molto/upstream/bedrock.py b/python/molto/upstream/bedrock.py
index be6e6b9..7e83e20 100644
--- a/python/molto/upstream/bedrock.py
+++ b/python/molto/upstream/bedrock.py
@@ -1,8 +1,13 @@
 """Bedrock API-key clients; callers supply the regional protocol destination."""
 
-from molto.upstream.openai import OpenAIResponsesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 
 
 class BedrockResponsesClient(OpenAIResponsesClient):
     REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
     REQUIRES_BASE_URL = True
+
+
+class BedrockChatCompletionsClient(OpenAIChatCompletionsClient):
+    REQUIRED_API_KEY = "AWS_BEARER_TOKEN_BEDROCK"
+    REQUIRES_BASE_URL = True
diff --git a/python/molto/upstream/fireworks.py b/python/molto/upstream/fireworks.py
index 65265bc..5794fe6 100644
--- a/python/molto/upstream/fireworks.py
+++ b/python/molto/upstream/fireworks.py
@@ -1,8 +1,13 @@
-"""Fireworks Responses transport."""
+"""Fireworks clients using the shared OpenAI protocol implementations."""
 
-from molto.upstream.openai import OpenAIResponsesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 
 
 class FireworksResponsesClient(OpenAIResponsesClient):
     DEFAULT_BASE_URL = "https://api.fireworks.ai/inference/v1"
     REQUIRED_API_KEY = "FIREWORKS_API_KEY"
+
+
+class FireworksChatCompletionsClient(OpenAIChatCompletionsClient):
+    DEFAULT_BASE_URL = "https://api.fireworks.ai/inference/v1"
+    REQUIRED_API_KEY = "FIREWORKS_API_KEY"
diff --git a/python/molto/upstream/registry.py b/python/molto/upstream/registry.py
index 0cb5a67..ea16b21 100644
--- a/python/molto/upstream/registry.py
+++ b/python/molto/upstream/registry.py
@@ -3,12 +3,12 @@
 from molto.providers import Endpoint, Provider
 from molto.upstream.anthropic import AnthropicMessagesClient
 from molto.upstream.base import BaseClient
-from molto.upstream.bedrock import BedrockResponsesClient
-from molto.upstream.fireworks import FireworksResponsesClient
+from molto.upstream.bedrock import BedrockChatCompletionsClient, BedrockResponsesClient
+from molto.upstream.fireworks import FireworksChatCompletionsClient, FireworksResponsesClient
 from molto.upstream.gemini import GeminiChatCompletionsClient
 from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 from molto.upstream.openrouter import OpenRouterResponsesClient
-from molto.upstream.together import TogetherAIResponsesClient
+from molto.upstream.together import TogetherAIChatCompletionsClient, TogetherAIResponsesClient
 from molto.upstream.vllm import VLLMChatCompletionsClient, VLLMMessagesClient, VLLMResponsesClient
 
 CLIENTS: dict[tuple[Provider, Endpoint], type[BaseClient]] = {
@@ -19,8 +19,11 @@
     ("vllm", "chat/completions"): VLLMChatCompletionsClient,
     ("vllm", "messages"): VLLMMessagesClient,
     ("bedrock", "responses"): BedrockResponsesClient,
+    ("bedrock", "chat/completions"): BedrockChatCompletionsClient,
     ("fireworks", "responses"): FireworksResponsesClient,
+    ("fireworks", "chat/completions"): FireworksChatCompletionsClient,
     ("openrouter", "responses"): OpenRouterResponsesClient,
     ("togetherai", "responses"): TogetherAIResponsesClient,
+    ("togetherai", "chat/completions"): TogetherAIChatCompletionsClient,
     ("gemini", "chat/completions"): GeminiChatCompletionsClient,
 }
diff --git a/python/molto/upstream/together.py b/python/molto/upstream/together.py
index 98d4dab..9e168fc 100644
--- a/python/molto/upstream/together.py
+++ b/python/molto/upstream/together.py
@@ -1,8 +1,13 @@
-"""Together Responses transport using the shared OpenAI wire implementation."""
+"""Together clients using the shared OpenAI protocol implementations."""
 
-from molto.upstream.openai import OpenAIResponsesClient
+from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 
 
 class TogetherAIResponsesClient(OpenAIResponsesClient):
     DEFAULT_BASE_URL = "https://api.together.ai/v1"
     REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
+
+
+class TogetherAIChatCompletionsClient(OpenAIChatCompletionsClient):
+    DEFAULT_BASE_URL = "https://api.together.ai/v1"
+    REQUIRED_API_KEY = "TOGETHER_AI_API_KEY"
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index ad9566f..4c37407 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -14,9 +14,11 @@ Treat these files as provider evidence. Do not edit a recorded value merely to m
 
 ### Multi-turn upstream IR recordings
 
-`upstream_ir/{scenario}/{provider}-{endpoint}-stream-{turn}.yaml` contains independent, unchanged provider recordings for `tests/upstream/test_multi_turn.py`. The scenarios are two-turn `text_chat`, `text_image_chat`, and `consecutive_user_text`, plus three-turn `tool_use` and `tool_use_reasoning`. Text, multimodal input, consecutive user messages, and tool use cover all three upstream clients; reasoning tool use covers Responses and Messages.
+`upstream_ir/{scenario}/{provider}-{endpoint}-{mode}-{turn}.yaml` contains independent, unchanged provider recordings for `tests/upstream/test_multi_turn.py`. The scenarios are two-turn `text_chat`, `text_image_chat`, and `consecutive_user_text`, plus three-turn `tool_use` and `tool_use_reasoning`. Text, multimodal input, consecutive user messages, and tool use cover the three canonical upstream clients; reasoning tool use covers Responses and Messages.
 
-Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. Bedrock text/tool captures use `bedrock-responses-{mode}-{turn:02}.yaml` and retain the explicit regional runtime URL; replay takes the destination from the recorded exchange. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
+Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. Bedrock, Together, and Fireworks also have independent Chat Completions text/tool captures such as `tool_use/togetherai-chat_completions-stream-00.yaml`, covering both native modes. Bedrock Responses and Chat Completions captures retain the explicit regional runtime URL; replay takes the destination from the recorded exchange. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
+
+The Chat Completions captures use Bedrock `global.openai.gpt-5.6-luna` through Singapore runtime, Together `Qwen/Qwen3.5-9B`, and Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b`, with reasoning disabled. They establish these model/settings combinations, not provider-wide model coverage. Native continuation uses SDK-parsed assistant output. Together repeats the streamed role, which the SDK accumulator concatenates; the caller restores `assistant` before reuse. Fireworks history omits null output-only fields that its input endpoint rejects. Replay follows those same caller choices without modifying recorded responses or production passthrough behavior.
 
 `text_image_chat` sends text, an image, and trailing text in one user message on each turn, using the existing `tests/files/github.png` and `tests/files/xlsx.jpg` fixtures as data URLs. `consecutive_user_text` sends two adjacent user messages, each with two text parts, before each assistant response. Both scenarios retain actual assistant output as history and assert that the input IR is not mutated. They also inspect outgoing message roles and content grouping independently of cassette equality, so the expected fixtures cannot silently permit merged user messages or split multimodal parts. These are upstream-client projection checks; incoming request normalization remains covered by the adapter tests.
 
diff --git a/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..a72fba9
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-00.yaml
@@ -0,0 +1,73 @@
+filename: 2026-11-05-01a1ac2f-950b-7090-8d60-7cc02c851248
+request:
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+    max_completion_tokens: 512
+    messages:
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+      role: user
+    model: global.openai.gpt-5.6-luna
+    reasoning_effort: none
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+request_id: 01a1ac2f-950b-7090-8d60-7cc02c851248
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+        content: SproutBot.
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diff --git a/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..40de0e7
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-non_stream-01.yaml
@@ -0,0 +1,87 @@
+filename: 2026-11-05-01a1ac2f-97e2-7b03-8cc0-0fcb5982ca23
+request:
+  body:
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+      - text: Suggest a name for a robot gardener.
+        type: text
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+      content: SproutBot.
+      refusal: null
+      role: assistant
+    - content:
+      - text: Explain why that name fits.
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+      role: user
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diff --git a/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..8c89b11
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-00.yaml
@@ -0,0 +1,86 @@
+filename: 2026-11-05-01a1ac2f-8dd1-7691-82c6-b92edd6108f2
+request:
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+    messages:
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diff --git a/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..cf177a9
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/bedrock-chat_completions-stream-01.yaml
@@ -0,0 +1,385 @@
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+timestamp: '2026-11-05T14:49:20.911708+00:00'
+upstream_url: https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..12e1ade
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-00.yaml
@@ -0,0 +1,146 @@
+filename: 2026-11-05-01a1ac2f-b626-7822-abab-43d0a0994999
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '241'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-b626-7822-abab-43d0a0994999
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: 'Here are a few suggestions for a robot gardener, categorized by
+          the "vibe" you might be going for:
+
+
+          **Playful & Punny**
+
+          *   **Herbie** (A classic robot name, or a nod to the Love Bug car, but
+          for plants)
+
+          *   **Botany** (Simple, descriptive, and cute)
+
+          *   **Claudia** (Plays on "claws" – great for pruning shears)
+
+          *   **Sprout** (Small, cute, and implies growth)
+
+          *   **Green Bean** (A double entendre for a robot and a vegetable)
+
+
+          **Technical & Functional**
+
+          *   **Terra** (Latin for Earth/Earth-rover)
+
+          *   **Aeris** (Latin for air/flowers)
+
+          *   **Verdant** (Meaning green and lush)
+
+          *   **Nomad** (If it roams the garden)
+
+          *   **Sensus** (Latin for sense/perception – good for a robot that "feels"
+          the soil)
+
+
+          **Descriptive & Strong**
+
+          *   **The GardenBot** (The literal name)
+
+          *   **Harvest** (Focuses on the end goal)
+
+          *   **Mowbot** (If it does the lawn too)
+
+          *   **Root** (Solid, grounded, essential)
+
+          *   **Gyrus** (Scientific sounding, relates to the brain/control)
+
+
+          **Sci-Fi & Elegant**
+
+          *   **A.R.I.A.** (Autonomous Robot for Intelligent Agriculture)
+
+          *   **Eden** (A hopeful, classic name)
+
+          *   **Viridium** (A fancy word for greenery)
+
+          *   **Silas** (Sounds gentle and steady)
+
+
+          **My top pick:** **"Terra"** – it sounds professional, has a nice ring to
+          it, and fits the theme of earth and gardening perfectly.'
+        role: assistant
+        tools: null
+    created: 1793890171
+    id: chatcmpl-2f8afb23159442b082b0f7e1c6ad9f5b
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    object: chat.completion
+    usage:
+      completion_tokens: 390
+      completion_tokens_details:
+        reasoning_tokens: 0
+      output_tokens_details:
+        reasoning_tokens: 0
+      prompt_tokens: 26
+      prompt_tokens_details:
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+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..7c4f3ea
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-non_stream-01.yaml
@@ -0,0 +1,201 @@
+filename: 2026-11-05-01a1ac2f-bb8c-76d2-8e03-ddaee47c0ad1
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    - content: 'Here are a few suggestions for a robot gardener, categorized by the
+        "vibe" you might be going for:
+
+
+        **Playful & Punny**
+
+        *   **Herbie** (A classic robot name, or a nod to the Love Bug car, but for
+        plants)
+
+        *   **Botany** (Simple, descriptive, and cute)
+
+        *   **Claudia** (Plays on "claws" – great for pruning shears)
+
+        *   **Sprout** (Small, cute, and implies growth)
+
+        *   **Green Bean** (A double entendre for a robot and a vegetable)
+
+
+        **Technical & Functional**
+
+        *   **Terra** (Latin for Earth/Earth-rover)
+
+        *   **Aeris** (Latin for air/flowers)
+
+        *   **Verdant** (Meaning green and lush)
+
+        *   **Nomad** (If it roams the garden)
+
+        *   **Sensus** (Latin for sense/perception – good for a robot that "feels"
+        the soil)
+
+
+        **Descriptive & Strong**
+
+        *   **The GardenBot** (The literal name)
+
+        *   **Harvest** (Focuses on the end goal)
+
+        *   **Mowbot** (If it does the lawn too)
+
+        *   **Root** (Solid, grounded, essential)
+
+        *   **Gyrus** (Scientific sounding, relates to the brain/control)
+
+
+        **Sci-Fi & Elegant**
+
+        *   **A.R.I.A.** (Autonomous Robot for Intelligent Agriculture)
+
+        *   **Eden** (A hopeful, classic name)
+
+        *   **Viridium** (A fancy word for greenery)
+
+        *   **Silas** (Sounds gentle and steady)
+
+
+        **My top pick:** **"Terra"** – it sounds professional, has a nice ring to
+        it, and fits the theme of earth and gardening perfectly.'
+      role: assistant
+    - content:
+      - text: Explain why that name fits.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1703'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-bb8c-76d2-8e03-ddaee47c0ad1
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: 'The name **"Terra"** fits a robot gardener perfectly for several
+          reasons, ranging from its linguistic roots to its modern tech appeal:
+
+
+          **1. Literal Connection to the Earth**
+
+          The word "Terra" originates from Latin, where it means **"Earth"** or **"Land."**
+          Since a gardener’s primary job is interacting with the soil and the ground,
+          the name creates an immediate, poetic link between the machine and the medium
+          it works with. It suggests a robot that is grounded, literal, and deeply
+          connected to the land.
+
+
+          **2. The "Terra" Prefix in Technology**
+
+          In the world of robotics and sci-fi, "Terra" is often used to denote planetary
+          or ground-based operations.
+
+          *   **Terraforming:** The process of making a planet habitable.
+
+          *   **Terran:** Referring to the inhabitants of Earth (popularized by *StarCraft*).
+
+          Using the name implies that this robot is built for the "ground game"—literally
+          working the soil rather than flying or floating.
+
+
+          **3. Softness and Growth**
+
+          Despite being a technological term, "Terra" has a soft, earthy sound (the
+          "Ter" consonant blend). It avoids the harsh, mechanical sound of names like
+          "Robo-3000" or "Chassis." It feels organic and natural, which matches the
+          aesthetic of a garden—something growing, living, and green.
+
+
+          **4. Brevity and Brandability**
+
+          "Terra" is short, punchy, and easy to remember. It works well as a simple
+          identifier (e.g., "Tell Terra to water the tomatoes") and has a professional,
+          commercial feel that would look great on a product box or a startup logo.
+
+
+          **In summary:** It is a name that bridges the gap between **nature** (the
+          garden) and **technology** (the robot), making it an ideal fit for a machine
+          designed to cultivate the earth.'
+        role: assistant
+        tools: null
+    created: 1793890172
+    id: chatcmpl-68944382971c456cbbcf3a19dec88448
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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diff --git a/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..cfde4b8
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-00.yaml
@@ -0,0 +1,2052 @@
+filename: 2026-11-05-01a1ac2f-a6e5-74c2-8251-38c51e96038b
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
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+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    fits"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    the"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    gard"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"ening"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    theme"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    perfectly"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-1a8788878fd24f4caaa7f0325e84c1db","object":"chat.completion.chunk","created":1793890167,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":26,"total_tokens":333,"completion_tokens":307,"prompt_tokens_details":{"cached_tokens":25},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:26.501470+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..0623248
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/fireworks-chat_completions-stream-01.yaml
@@ -0,0 +1,2843 @@
+filename: 2026-11-05-01a1ac2f-ae7c-7db1-8ebb-09224ddb13c5
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    - content: 'Here are a few suggestions for a robot gardener, categorized by the
+        "vibe" you might be going for:
+
+
+        **Classic & Functional**
+
+        *   **Agri-Bot** – Simple, professional, and tells you exactly what it does.
+
+        *   **Terra** – Derived from "Earth," sounding gentle and grounded.
+
+        *   **Verdant** – A sophisticated word for lush, green vegetation.
+
+
+        **Playful & Punny**
+
+        *   **Grasshopper** – A cute nod to the insects it might chase away.
+
+        *   **Sprout** – Short, sweet, and implies growth.
+
+        *   **MowBot** – If it does the lawn mowing.
+
+        *   **Root** – A play on "rout" or just being down-to-earth.
+
+
+        **High-Tech & Modern**
+
+        *   **Nemotron** – (If you want a sci-fi feel; named after the large language
+        model, but fits a smart bot).
+
+        *   **Synthia** – Sounds like "synthesis" or "photosynthesis."
+
+        *   **Axiom** – Sounds strong and reliable.
+
+
+        **Nature-Themed**
+
+        *   **Flora** – The Roman goddess of flowers, or simply "plants."
+
+        *   **Sylvan** – Relating to forests and woodlands.
+
+        *   **Petal** – Soft and delicate.
+
+
+        **My top recommendation:**
+
+        **Sprout**. It’s friendly, memorable, and fits the gardening theme perfectly.'
+      role: assistant
+    - content:
+      - text: Explain why that name fits.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1559'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-ae7c-7db1-8ebb-09224ddb13c5
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-55078d3058c64109a1f62e52404d1861
+  sse:
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"The"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    name"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    **\""},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"S"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"pro"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
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+
+    '
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+
+    '
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+
+    '
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+
+    '
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+
+    '
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+    '
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+    '
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+
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+
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+
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+
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+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
+    intimid"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"ating"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-55078d3058c64109a1f62e52404d1861","object":"chat.completion.chunk","created":1793890169,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":352,"total_tokens":764,"completion_tokens":412,"prompt_tokens_details":{"cached_tokens":25},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:28.444627+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..cc29644
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,155 @@
+filename: 2026-11-05-01a1ac2e-eed8-71e3-ac1d-6c85448d51d2
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    reasoning:
+      enabled: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '204'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2e-eed8-71e3-ac1d-6c85448d51d2
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      matched_stop: 248046
+      message:
+        content: 'Here are a few name suggestions for a robot gardener, categorized
+          by the "vibe" they project:
+
+
+          ### Nature-Inspired & Whimsical
+
+          *These names blend gardening terminology with soft, organic sounds.*
+
+          *   **Chloris** (Greek goddess of flowers)
+
+          *   **Verdant**
+
+          *   **Bloom**
+
+          *   **Petra** (Latin for rock/stones, but sounds like "spore")
+
+          *   **Seedling**
+
+          *   **Fern & Rust**
+
+          *   **Petunia Bot**
+
+
+          ### Tech-Savvy & Functional
+
+          *These sound like practical tools designed for efficiency and precision.*
+
+          *   **AgriBot 3000**
+
+          *   **ProGroom**
+
+          *   **GreenLogic**
+
+          *   **SoilSync**
+
+          *   **Hortus AI**
+
+          *   **RootSeeker**
+
+          *   **CropGuard**
+
+
+          ### Friendly & Personable
+
+          *Names that make the machine seem like a helpful neighbor or a pet.*
+
+          *   **Genny**
+
+          *   **Bud**
+
+          *   **Pluck**
+
+          *   **Otto the Oaktress**
+
+          *   **Sprouty**
+
+          *   **Thumb** (as in "my little oatmeal thumb")
+
+          *   **Willow**
+
+
+          ### My Top Recommendation
+
+          **"Simeris"**
+
+          It sounds elegant and futuristic (like a code name), but it closely mimics
+          the sound of "simmering" soil or the gentle sound of rain falling on leaves.
+          It implies a machine that understands the delicate balance of a garden.
+
+
+          **Which style fits your robot best?** Do you want it to feel more like a
+          high-tech engineering marvel or a charming garden companion?'
+        reasoning_content: null
+        role: assistant
+    created: 1793890119
+    id: 39aa6c1c-aws_as1
+    model: Qwen/Qwen3.5-9B
+    object: chat.completion
+    system_fingerprint: default
+    usage:
+      completion_tokens: 373
+      prompt_tokens: 22
+      prompt_tokens_details:
+        cached_tokens: 0
+      total_tokens: 395
+  body_bytes: !!binary |
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+  status_code: 200
+timestamp: '2026-11-05T14:48:39.384697+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..4b1f8fe
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-non_stream-01.yaml
@@ -0,0 +1,244 @@
+filename: 2026-11-05-01a1ac2e-fac1-76c0-a973-a8f3b3fc66c0
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    - content: 'Here are a few name suggestions for a robot gardener, categorized
+        by the "vibe" they project:
+
+
+        ### Nature-Inspired & Whimsical
+
+        *These names blend gardening terminology with soft, organic sounds.*
+
+        *   **Chloris** (Greek goddess of flowers)
+
+        *   **Verdant**
+
+        *   **Bloom**
+
+        *   **Petra** (Latin for rock/stones, but sounds like "spore")
+
+        *   **Seedling**
+
+        *   **Fern & Rust**
+
+        *   **Petunia Bot**
+
+
+        ### Tech-Savvy & Functional
+
+        *These sound like practical tools designed for efficiency and precision.*
+
+        *   **AgriBot 3000**
+
+        *   **ProGroom**
+
+        *   **GreenLogic**
+
+        *   **SoilSync**
+
+        *   **Hortus AI**
+
+        *   **RootSeeker**
+
+        *   **CropGuard**
+
+
+        ### Friendly & Personable
+
+        *Names that make the machine seem like a helpful neighbor or a pet.*
+
+        *   **Genny**
+
+        *   **Bud**
+
+        *   **Pluck**
+
+        *   **Otto the Oaktress**
+
+        *   **Sprouty**
+
+        *   **Thumb** (as in "my little oatmeal thumb")
+
+        *   **Willow**
+
+
+        ### My Top Recommendation
+
+        **"Simeris"**
+
+        It sounds elegant and futuristic (like a code name), but it closely mimics
+        the sound of "simmering" soil or the gentle sound of rain falling on leaves.
+        It implies a machine that understands the delicate balance of a garden.
+
+
+        **Which style fits your robot best?** Do you want it to feel more like a high-tech
+        engineering marvel or a charming garden companion?'
+      reasoning_content: null
+      role: assistant
+    - content:
+      - text: Explain why that name fits.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    reasoning:
+      enabled: false
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1651'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2e-fac1-76c0-a973-a8f3b3fc66c0
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      matched_stop: 248046
+      message:
+        content: 'Here is a breakdown of why **"Simeris"** is a compelling choice
+          for a robot gardener, analyzing its linguistic roots, phonetic vibe, and
+          symbolic meaning:
+
+
+          ### 1. Etymology: A Blend of Nature and Action
+
+          The name is constructed to sound like two distinct concepts merged together:
+
+          *   **"Simmer":** This verb implies a gentle, sustained heat. In cooking,
+          it''s low and steady; in gardening, it mirrors the ideal soil temperature
+          where seeds germinate and roots expand slowly without burning out. It suggests
+          a patient, low-energy constant, which is perfect for a machine that tends
+          to living things rather than ripping them apart.
+
+          *   **"Miris" (from *Perfume* or *Aroma*):** This suffix evokes the word
+          "outrigger" or "mirro" but leans heavily toward "mirth" (joy) or "flavor/aroma."
+          It connects to the smell of the garden—the scent of blooming flowers or
+          damp earth after a rain.
+
+
+          ### 2. The Phonetic Vibe
+
+          *   **Soft Consonants:** The name starts with an ''S'' (shh) and flows into
+          a soft ''m'' and ''r''. Unlike names like "Basher" or "Cutter" which sound
+          aggressive, "Simeris" sounds whisper-soft. It creates a mental image of
+          a quiet hum or the rustling of a gentle breeze, rather than the clanking
+          of heavy machinery.
+
+          *   **Double ''i'' Vocalic Echo:** The "i" sounds in the middle give the
+          name a lift, making it feel energetic yet delicate, much like a sprouting
+          seed pushing through soil.
+
+
+          ### 3. Symbolic Dual Nature
+
+          A robot gardener walks a fine line between **artificial intelligence** and
+          **organic life**.
+
+          *   **The Tech Side:** The "S" and the rhythmic, almost syllabic structure
+          give it a slightly futuristic, coded feel. It sounds like a sophisticated
+          algorithm designed to optimize growth.
+
+          *   **The Organic Side:** The reference to "simmering" and "aroma" grounds
+          it firmly in the natural world. It hasn''t just been named; it feels like
+          it *belongs* there.
+
+
+          ### 4. Narrative Potential
+
+          Using this name allows for cute character quirks:
+
+          *   *"Don''t worry, Simeris won''t overwork the soil; he knows exactly when
+          to simmer the nutrients."*
+
+          *   *"The garden smells wonderful today; I think Simeris hit the sweet spot
+          on the humidity sensors."*
+
+
+          **In short:** **Simeris** fits because it transforms the concept of a machine
+          from something cold and industrial into something warm, patient, and essential
+          to the life cycle of a plant. It sounds less like a tool and more like a
+          partner.'
+        reasoning_content: null
+        role: assistant
+    created: 1793890122
+    id: bea9a980-aws_as1
+    model: Qwen/Qwen3.5-9B
+    object: chat.completion
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+    usage:
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+  headers:
+    connection: keep-alive
+    content-type: application/json
+    x-request-id: bea9a980-aws_as1
+  status_code: 200
+timestamp: '2026-11-05T14:48:42.433990+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..e9ff678
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,3641 @@
+filename: 2026-11-05-01a1ac2e-cf55-7f11-85c0-021526b47895
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '243'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2e-cf55-7f11-85c0-021526b47895
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 429f400e-aws_as1
+  sse:
+  - 'data: {"id":"429f400e-aws_as1","object":"chat.completion.chunk","created":1793890111,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"429f400e-aws_as1","object":"chat.completion.chunk","created":1793890111,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"Here","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"429f400e-aws_as1","object":"chat.completion.chunk","created":1793890111,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
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+    name","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
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+    '
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+
+    '
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+    '
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+  - '
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+    '
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+
+    '
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+    '
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+
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+
+    '
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+
+    '
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+
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+    '
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+
+    '
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+
+    '
+  - 'data: {"id":"429f400e-aws_as1","object":"chat.completion.chunk","created":1793890111,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":22,"completion_tokens":557,"total_tokens":579,"prompt_tokens_details":{"cached_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:48:31.317431+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..31c1bf1
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,3970 @@
+filename: 2026-11-05-01a1ac2e-df2b-71d2-a073-a4cb6314a1e6
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    - annotations: null
+      audio: null
+      content: 'Here are several name suggestions for a robot gardener, categorized
+        by the "vibe" they project:
+
+
+        ### Clever & Puns
+
+        These names play on gardening terms combined with technology.
+
+        *   **TerraBot** (A classic mix of "Terra/matter" and Robot)
+
+        *   **WeedOut** (Simple, direct, and slightly aggressive for a pruning bot)
+
+        *   **AlgoBloom** (Suggests algorithms helping flowers grow)
+
+        *   **Prunimus** (Sounds like "Prunus," the genus for cherries/peaches, but
+        implies it''s the *first* pruner)
+
+        *   **Chlorophyll-1** (A scientific nod to the green life it nurtures)
+
+        *   **RC Sprout** (Remote Control Sprout)
+
+
+        ### Nature-Inspired & Whimsical
+
+        Names that sound friendly, organic, and gentle, perfect for a houseplant caretaker.
+
+        *   **Verdia** (Short for vegetation, sounds elegant)
+
+        *   **Solanum** (A genus of nightshades, sounds sophisticated)
+
+        *   **Leafgard** (A gentle blend of "Leaf" and "Guardian")
+
+        *   **Bamboo** (Automatic)
+
+        *   **Fern & Steel**
+
+        *   **Sylvan** (Associated with forests, sounds magical)
+
+
+        ### Functional & Industrial
+
+        If this is a large agricultural robot or a serious tool, these names sound
+        robust and efficient.
+
+        *   **Apex Cultivator**
+
+        *   **RootSync**
+
+        *   **Harvest Logic**
+
+        *   **NitroGrowth**
+
+        *   **Aegis Earth** (Aegis means protection)
+
+        *   **Cultivo**
+
+
+        ### Character-Ready Names
+
+        If the robot has a personality or is part of a story/game.
+
+        *   **Grizzly** (For a tough, plow-like robot)
+
+        *   **Blossom** (For a small, delicate robot that polishes leaves)
+
+        *   **Pulse** (Because plants need water and rhythm)
+
+        *   **Echo** (Listening to the soil)
+
+        *   **Chip** (As in "chip away at the weeds")
+
+
+        **Which style fits best?**
+
+        *   Is it a **cute assistant** for an apartment balcony? Go with *Verdia*
+        or *Blossom*.
+
+        *   Is it a **farm workhorse**? Go with *Apex Cultivator* or *TerraBot*.
+
+        *   Do you want something **humorous**? Go with *WeedOut* or *RootSync*.'
+      function_call: null
+      reasoning_content: null
+      refusal: null
+      role: assistant
+      tool_calls: null
+    - content:
+      - text: Explain why that name fits.
+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2383'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2e-df2b-71d2-a073-a4cb6314a1e6
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 4563d175-aws_as1
+  sse:
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+
+    '
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+
+    '
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+
+    '
+  - '
+
+    '
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diff --git a/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..f229170
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-00.yaml
@@ -0,0 +1,99 @@
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diff --git a/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..5aec49b
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-non_stream-01.yaml
@@ -0,0 +1,112 @@
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diff --git a/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-stream-02.yaml
new file mode 100644
index 0000000..7bab9ea
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/bedrock-chat_completions-stream-02.yaml
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+      audio: null
+      content: ''
+      function_call: null
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+      role: assistant
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diff --git a/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..10b22b9
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-00.yaml
@@ -0,0 +1,93 @@
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+request:
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diff --git a/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..8d9dec0
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-01.yaml
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diff --git a/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-02.yaml
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+++ b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-non_stream-02.yaml
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+          name: read_file
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+        index: 0
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: chatcmpl-tool-994c8fb2cc9445e6
+    - content: ''
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "garden.txt"}'
+          name: read_file
+        id: chatcmpl-tool-aca9f1448e2aa8f3
+        index: 0
+        type: function
+    - content: Water the tomatoes every morning and harvest ripe fruit.
+      role: tool
+      tool_call_id: chatcmpl-tool-aca9f1448e2aa8f3
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: false
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
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+              type: string
+          required:
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+          type: object
+        strict: false
+      type: function
+  headers:
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+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1225'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-cbc4-7152-9ed6-7c1db56f3006
+response:
+  body:
+    choices:
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+      index: 0
+      message:
+        content: 'The garden.txt file contains a single sentence: "Water the tomatoes
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+        tools: null
+    created: 1793890176
+    id: chatcmpl-7d77f28829ee48e3807c661d7118c793
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
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+timestamp: '2026-11-05T14:49:35.940052+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..32e5391
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-00.yaml
@@ -0,0 +1,110 @@
+filename: 2026-11-05-01a1ac2f-c1b0-7853-82d9-591f4779d3c7
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '665'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-c1b0-7853-82d9-591f4779d3c7
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-6e70a859ea3c4485a6d1b5248db86537
+  sse:
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+
+    '
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+    '
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+
+    '
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+    '
+  - 'data: {"id":"chatcmpl-6e70a859ea3c4485a6d1b5248db86537","object":"chat.completion.chunk","created":1793890174,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"tool_calls":[{"index":0,"function":{"arguments":"{\"path\":
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+    '
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+    '
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+    '
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+
+    '
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+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-6e70a859ea3c4485a6d1b5248db86537","object":"chat.completion.chunk","created":1793890174,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":304,"total_tokens":330,"completion_tokens":26,"prompt_tokens_details":{"cached_tokens":0},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:33.360212+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..f0f2a6d
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-01.yaml
@@ -0,0 +1,127 @@
+filename: 2026-11-05-01a1ac2f-c399-7763-a293-098c1af77e02
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "index.txt"}'
+          name: read_file
+        id: chatcmpl-tool-9e4b1d2fe8c72961
+        index: 0
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: chatcmpl-tool-9e4b1d2fe8c72961
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '928'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-c399-7763-a293-098c1af77e02
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-9683ed81783f432c9a2ed0bd96bbde04
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+
+    '
+  - '
+
+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:33.849520+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-02.yaml
new file mode 100644
index 0000000..45124b6
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/fireworks-chat_completions-stream-02.yaml
@@ -0,0 +1,244 @@
+filename: 2026-11-05-01a1ac2f-c596-7bd0-af6e-422f5e240059
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "index.txt"}'
+          name: read_file
+        id: chatcmpl-tool-9e4b1d2fe8c72961
+        index: 0
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: chatcmpl-tool-9e4b1d2fe8c72961
+    - role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "garden.txt"}'
+          name: read_file
+        id: chatcmpl-tool-bffccb6cb252e0d8
+        index: 0
+        type: function
+    - content: Water the tomatoes every morning and harvest ripe fruit.
+      role: tool
+      tool_call_id: chatcmpl-tool-bffccb6cb252e0d8
+    model: accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b
+    parallel_tool_calls: false
+    reasoning_effort: none
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
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+    accept-encoding: gzip, deflate
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+    connection: keep-alive
+    content-length: '1238'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /inference/v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-c596-7bd0-af6e-422f5e240059
+response:
+  error_event: false
+  headers:
+    connection: keep-alive
+    content-type: text/event-stream; charset=utf-8
+    x-request-id: chatcmpl-05568d8489e94c378f0766f9a6927207
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+
+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+    '
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+
+    '
+  - '
+
+    '
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+
+    '
+  - '
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+    '
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+
+    '
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+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"ing"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
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+
+    '
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+    '
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+
+    '
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+
+    '
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+
+    '
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+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
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+    ripe"},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"
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+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{"content":"."},"finish_reason":null,"raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[{"index":0,"delta":{},"finish_reason":"stop","raw_output":null}],"usage":null}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"chatcmpl-05568d8489e94c378f0766f9a6927207","object":"chat.completion.chunk","created":1793890175,"model":"accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b","choices":[],"usage":{"prompt_tokens":403,"total_tokens":425,"completion_tokens":22,"prompt_tokens_details":{"cached_tokens":349},"completion_tokens_details":{"reasoning_tokens":0},"output_tokens_details":{"reasoning_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:34.358694+00:00'
+upstream_url: https://api.fireworks.ai/inference/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..59625b3
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-00.yaml
@@ -0,0 +1,86 @@
+filename: 2026-11-05-01a1ac2f-f33a-7363-867d-6ab8b11a7a3a
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
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+    parallel_tool_calls: false
+    reasoning:
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+    stream: false
+    tool_choice: auto
+    tools:
+    - function:
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+        name: read_file
+        parameters:
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+          properties:
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+          required:
+          - path
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+        strict: false
+      type: function
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+    connection: keep-alive
+    content-length: '589'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-f33a-7363-867d-6ab8b11a7a3a
+response:
+  body:
+    choices:
+    - finish_reason: tool_calls
+      index: 0
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+      message:
+        reasoning_content: null
+        role: assistant
+        tool_calls:
+        - function:
+            arguments: '{"path":"index.txt"}'
+            name: read_file
+          id: call_01a1ac2ff5767011ac9a00e7
+          type: function
+    created: 1793890186
+    id: 6eb500e9-aws_as1
+    model: Qwen/Qwen3.5-9B
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+    system_fingerprint: default
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+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..ec97497
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-01.yaml
@@ -0,0 +1,97 @@
+filename: 2026-11-05-01a1ac2f-f5de-7a50-91e5-91c3595d8a6b
+request:
+  body:
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+    messages:
+    - content:
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+        id: call_01a1ac2ff5767011ac9a00e7
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+    model: Qwen/Qwen3.5-9B
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+    stream: false
+    tool_choice: auto
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+        description: Read a file by its path.
+        name: read_file
+        parameters:
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+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
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+    content-length: '864'
+    content-type: application/json
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+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-f5de-7a50-91e5-91c3595d8a6b
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+            name: read_file
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+          type: function
+    created: 1793890186
+    id: 07ec4dd2-aws_as1
+    model: Qwen/Qwen3.5-9B
+    object: chat.completion
+    system_fingerprint: default
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+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-02.yaml
new file mode 100644
index 0000000..c10d671
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-non_stream-02.yaml
@@ -0,0 +1,103 @@
+filename: 2026-11-05-01a1ac2f-f7a1-79c0-b86f-e6b63706fd6e
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
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+          Read that file too, then summarize its contents in one sentence.
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+      role: user
+    - reasoning_content: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path":"index.txt"}'
+          name: read_file
+        id: call_01a1ac2ff5767011ac9a00e7
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_01a1ac2ff5767011ac9a00e7
+    - reasoning_content: null
+      role: assistant
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+      - function:
+          arguments: '{"path":"garden.txt"}'
+          name: read_file
+        id: call_01a1ac2ff7357f11a7334c0b
+        type: function
+    - content: Water the tomatoes every morning and harvest ripe fruit.
+      role: tool
+      tool_call_id: call_01a1ac2ff7357f11a7334c0b
+    model: Qwen/Qwen3.5-9B
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    stream: false
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
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+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
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+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-f7a1-79c0-b86f-e6b63706fd6e
+response:
+  body:
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+        content: The file describes a routine for watering tomatoes daily and harvesting
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+        role: assistant
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+    id: 0dcc2f5e-aws_as1
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+timestamp: '2026-11-05T14:49:47.169721+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..f8383c8
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-00.yaml
@@ -0,0 +1,100 @@
+filename: 2026-11-05-01a1ac2f-ed36-7de3-a615-28ba500698cb
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
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+        type: text
+      role: user
+    model: Qwen/Qwen3.5-9B
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
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+        description: Read a file by its path.
+        name: read_file
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+      type: function
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+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-ed36-7de3-a615-28ba500698cb
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+  headers:
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+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: ef57d52e-aws_as1
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+    '
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+    '
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+    '
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+
+    '
+  - 'data: {"id":"ef57d52e-aws_as1","object":"chat.completion.chunk","created":1793890184,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"}"}}],"reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"ef57d52e-aws_as1","object":"chat.completion.chunk","created":1793890184,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"tool_calls","matched_stop":248046}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"ef57d52e-aws_as1","object":"chat.completion.chunk","created":1793890184,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":308,"completion_tokens":26,"total_tokens":334,"prompt_tokens_details":{"cached_tokens":0}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:44.502596+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..a1691f4
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-01.yaml
@@ -0,0 +1,116 @@
+filename: 2026-11-05-01a1ac2f-ef7d-74d3-a8a3-79e66e3c21e6
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "index.txt"}'
+          name: read_file
+        id: call_01a1ac2feea07fe2b00e3a32
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_01a1ac2feea07fe2b00e3a32
+    model: Qwen/Qwen3.5-9B
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '987'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-ef7d-74d3-a8a3-79e66e3c21e6
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: a42f4dd2-aws_as1
+  sse:
+  - 'data: {"id":"a42f4dd2-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"a42f4dd2-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","tool_calls":[{"index":0,"id":"call_01a1ac2ff05a7671aecc4e96","type":"function","function":{"name":"read_file"}}],"reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"a42f4dd2-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"{\"path\":
+    \"garden.txt\""}}],"reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"a42f4dd2-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","tool_calls":[{"index":0,"function":{"arguments":"}"}}],"reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"a42f4dd2-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"tool_calls","matched_stop":248046}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"a42f4dd2-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":354,"completion_tokens":27,"total_tokens":381,"prompt_tokens_details":{"cached_tokens":256}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:45.085233+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-02.yaml
new file mode 100644
index 0000000..8afd0de
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/togetherai-chat_completions-stream-02.yaml
@@ -0,0 +1,236 @@
+filename: 2026-11-05-01a1ac2f-f143-7980-a76d-4396736d7336
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "index.txt"}'
+          name: read_file
+        id: call_01a1ac2feea07fe2b00e3a32
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_01a1ac2feea07fe2b00e3a32
+    - annotations: null
+      audio: null
+      content: null
+      function_call: null
+      reasoning_content: null
+      refusal: null
+      role: assistant
+      tool_calls:
+      - function:
+          arguments: '{"path": "garden.txt"}'
+          name: read_file
+        id: call_01a1ac2ff05a7671aecc4e96
+        type: function
+    - content: Water the tomatoes every morning and harvest ripe fruit.
+      role: tool
+      tool_call_id: call_01a1ac2ff05a7671aecc4e96
+    model: Qwen/Qwen3.5-9B
+    parallel_tool_calls: false
+    reasoning:
+      enabled: false
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1393'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1/chat/completions
+  query_params: {}
+request_id: 01a1ac2f-f143-7980-a76d-4396736d7336
+response:
+  error_event: false
+  headers:
+    cache-control: no-cache
+    connection: keep-alive
+    content-type: text/event-stream
+    x-request-id: 3a954993-aws_as1
+  sse:
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"role":"assistant","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"The","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    instructions","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    state","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    that","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    tomatoes","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    should","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    be","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    water","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"ed","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    every","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    morning","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    and","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    ripe","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    fruit","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    should","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    be","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":"
+    harvested","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"content":".","reasoning_content":null},"logprobs":null,"finish_reason":null}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[{"index":0,"delta":{"reasoning_content":null},"logprobs":null,"finish_reason":"stop","matched_stop":248046}]}
+
+    '
+  - '
+
+    '
+  - 'data: {"id":"3a954993-aws_as1","object":"chat.completion.chunk","created":1793890185,"model":"Qwen/Qwen3.5-9B","system_fingerprint":"default","choices":[],"usage":{"prompt_tokens":408,"completion_tokens":19,"total_tokens":427,"prompt_tokens_details":{"cached_tokens":256}}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-05T14:49:45.539766+00:00'
+upstream_url: https://api.together.ai/v1/chat/completions
diff --git a/tests/test_hosted_providers.py b/tests/test_hosted_providers.py
index 6747aed..6063301 100644
--- a/tests/test_hosted_providers.py
+++ b/tests/test_hosted_providers.py
@@ -19,6 +19,19 @@
     ("fireworks", "responses", "https://api.fireworks.ai/inference/v1", "/responses"),
     ("openrouter", "responses", "https://openrouter.ai/api/v1", "/responses"),
     ("togetherai", "responses", "https://api.together.ai/v1", "/responses"),
+    (
+        "fireworks",
+        "chat/completions",
+        "https://api.fireworks.ai/inference/v1",
+        "/chat/completions",
+    ),
+    ("togetherai", "chat/completions", "https://api.together.ai/v1", "/chat/completions"),
+    (
+        "bedrock",
+        "chat/completions",
+        "https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1",
+        "/chat/completions",
+    ),
     (
         "gemini",
         "chat/completions",
@@ -241,7 +254,9 @@ async def test_hosted_providers_reject_unselected_protocols(provider, supported,
             )
         )
     ) as client:
-        for endpoint in {"responses", "chat/completions", "messages"} - {supported}:
+        for endpoint in {"responses", "chat/completions", "messages"}:
+            if (provider, endpoint) in CLIENTS:
+                continue
             with pytest.raises(ValueError):
                 await client.responses(
                     {"model": "example", "input": "Hi"},
diff --git a/tests/upstream/test_multi_turn.py b/tests/upstream/test_multi_turn.py
index 34aa2a0..95adc06 100644
--- a/tests/upstream/test_multi_turn.py
+++ b/tests/upstream/test_multi_turn.py
@@ -33,11 +33,11 @@
     UserInput,
 )
 from molto.upstream.anthropic import AnthropicMessagesClient
-from molto.upstream.bedrock import BedrockResponsesClient
-from molto.upstream.fireworks import FireworksResponsesClient
+from molto.upstream.bedrock import BedrockChatCompletionsClient, BedrockResponsesClient
+from molto.upstream.fireworks import FireworksChatCompletionsClient, FireworksResponsesClient
 from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 from molto.upstream.openrouter import OpenRouterResponsesClient
-from molto.upstream.together import TogetherAIResponsesClient
+from molto.upstream.together import TogetherAIChatCompletionsClient, TogetherAIResponsesClient
 from molto.utils.io import json_loads, read_yaml
 
 CLIENTS = {
@@ -45,9 +45,12 @@
     OpenAIChatCompletionsClient: ("openai", "chat_completions"),
     AnthropicMessagesClient: ("anthropic", "messages"),
     BedrockResponsesClient: ("bedrock", "responses"),
+    BedrockChatCompletionsClient: ("bedrock", "chat_completions"),
     FireworksResponsesClient: ("fireworks", "responses"),
+    FireworksChatCompletionsClient: ("fireworks", "chat_completions"),
     OpenRouterResponsesClient: ("openrouter", "responses"),
     TogetherAIResponsesClient: ("togetherai", "responses"),
+    TogetherAIChatCompletionsClient: ("togetherai", "chat_completions"),
 }
 # The original scenario prompts belong to these providers' own recordings.
 # Hosted captures below use their recorded prompts and available scenarios.
@@ -430,32 +433,41 @@ async def test_multi_turn_tool_use_with_reasoning(client_type) -> None:
 
 # Only provider-owned recordings belong in this matrix. Missing scenarios are
 # absent coverage, never canonical fixtures relabeled as another provider.
-PROVIDER_RESPONSES_CLIENTS = {
-    provider: client
+PROVIDER_CLIENTS = {
+    (provider, endpoint): client
     for client, (provider, endpoint) in CLIENTS.items()
-    if client not in CANONICAL_CLIENTS and endpoint == "responses"
+    if client not in CANONICAL_CLIENTS
 }
-PROVIDER_CONVERSATIONS = [
-    pytest.param(provider, scenario.name, mode, id=f"{provider}-{scenario.name}-{mode}")
-    for provider in PROVIDER_RESPONSES_CLIENTS
+PROVIDER_NATIVE_CONVERSATIONS = [
+    pytest.param(
+        provider, endpoint, scenario.name, mode, id=f"{provider}-{endpoint}-{scenario.name}-{mode}"
+    )
+    for provider, endpoint in PROVIDER_CLIENTS
     for scenario in sorted(CASSETTE_DIR.iterdir())
     if scenario.is_dir()
     for mode in ("stream", "non_stream")
-    if (scenario / f"{provider}-responses-{mode}-00.yaml").exists()
+    if (scenario / f"{provider}-{endpoint}-{mode}-00.yaml").exists()
+]
+
+PROVIDER_RESPONSES_CONVERSATIONS = [
+    pytest.param(case.values[0], case.values[2], case.values[3], id=case.id)
+    for case in PROVIDER_NATIVE_CONVERSATIONS
+    if case.values[1] == "responses"
 ]
 
 
-def _provider_turns(provider, scenario, mode):
+def _provider_turns(provider, scenario, mode, endpoint="responses"):
     return [
         read_yaml(path)
-        for path in sorted((CASSETTE_DIR / scenario).glob(f"{provider}-responses-{mode}-*.yaml"))
+        for path in sorted((CASSETTE_DIR / scenario).glob(f"{provider}-{endpoint}-{mode}-*.yaml"))
     ]
 
 
 def _sdk_body(body):
-    """Keep OpenRouter routing controls separate from the SDK's native arguments."""
+    """Keep provider extensions separate from the SDK's native arguments."""
     body = deepcopy(body)
-    extras = {"provider": body.pop("provider")} if "provider" in body else None
+    extension_keys = ("provider",) if "input" in body else ("provider", "reasoning")
+    extras = {key: body.pop(key) for key in extension_keys if key in body}
     return body, extras
 
 
@@ -484,20 +496,73 @@ async def _collect_responses(result, stream):
     return completed[0], [event.model_dump() for event in events]
 
 
-@pytest.mark.parametrize(("provider", "scenario", "mode"), PROVIDER_CONVERSATIONS)
-async def test_provider_native_responses_conversation(provider, scenario, mode):
+async def _collect_chat(result, stream):
+    if not stream:
+        return result, None
+    state = ChatCompletionStreamState()
+    async with result:
+        events = [event async for event in result]
+    for event in events:
+        state.handle_chunk(event)
+    return state.get_final_completion(), [event.model_dump() for event in events]
+
+
+def _chat_history(message, provider):
+    """Reproduce the recording driver's actual SDK-output history."""
+    # Fireworks rejects null output-only fields in assistant input.
+    history = message.model_dump(exclude_unset=True, exclude_none=provider == "fireworks")
+    history.pop("parsed", None)
+    for call in history.get("tool_calls") or []:
+        if provider == "togetherai":
+            call.pop("index", None)
+        call["function"].pop("parsed_arguments", None)
+    # Together repeats delta.role; the SDK accumulator concatenates those strings.
+    if provider == "togetherai":
+        assert history["role"] and history["role"].replace("assistant", "") == ""
+        history["role"] = "assistant"
+    else:
+        assert history["role"] == "assistant"
+    return history
+
+
+def _chat_input_body(recorded):
+    """Omit empty output-only SDK fields from input copies, preserving source cassettes."""
+    body = deepcopy(recorded)
+    for message in body["messages"]:
+        if message["role"] != "assistant":
+            continue
+        assert message.pop("annotations", None) in (None, [])
+        for field in ("reasoning_content", "tool_calls"):
+            if field in message and message[field] is None:
+                del message[field]
+        for call in message.get("tool_calls", []):
+            call.pop("index", None)
+    return body
+
+
+@pytest.mark.parametrize(
+    ("provider", "endpoint", "scenario", "mode"), PROVIDER_NATIVE_CONVERSATIONS
+)
+async def test_provider_native_conversation(provider, endpoint, scenario, mode):
     """Ensures native SDK parity and exact actual-output continuation for recorded provider conversations."""
-    cassettes = _provider_turns(provider, scenario, mode)
+    cassettes = _provider_turns(provider, scenario, mode, endpoint)
     stream = mode == "stream"
-    history = deepcopy(cassettes[0]["request"]["body"]["input"])
+    responses = endpoint == "responses"
+    history_key = "input" if responses else "messages"
+    path = "/responses" if responses else "/chat/completions"
+    collect = _collect_responses if responses else _collect_chat
+    history = deepcopy(cassettes[0]["request"]["body"][history_key])
     for turn, cassette in enumerate(cassettes):
         recorded = cassette["request"]["body"]
-        base_url = cassette["upstream_url"].removesuffix("/responses")
-        assert history == recorded["input"]
-        body, extras = _sdk_body({**recorded, "input": history})
+        base_url = cassette["upstream_url"].removesuffix(path)
+        assert history == recorded[history_key]
+        wire = {**recorded, history_key: history}
+        if not responses:
+            wire = _chat_input_body(wire)
+        body, extras = _sdk_body(wire)
         calls = []
 
-        def handle(request, cassette=cassette, recorded=recorded, calls=calls):
+        def handle(request, cassette=cassette, recorded=wire, calls=calls):
             calls.append(request)
             assert str(request.url) == cassette["upstream_url"]
             assert request.headers["authorization"] == "Bearer test-key"
@@ -511,14 +576,17 @@ def handle(request, cassette=cassette, recorded=recorded, calls=calls):
                 http_client=transport,
                 max_retries=0,
             )
-            expected, expected_events = await _collect_responses(
-                await sdk.responses.create(**body, extra_body=extras), stream
+            expected, expected_events = await collect(
+                await (sdk.responses.create if responses else sdk.chat.completions.create)(
+                    **body, extra_body=extras
+                ),
+                stream,
             )
         async with Molto(
             http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
         ) as molto:
-            actual, actual_events = await _collect_responses(
-                await molto.responses(
+            actual, actual_events = await collect(
+                await getattr(molto, endpoint)(
                     body,
                     provider=provider,
                     api_key="test-key",
@@ -527,7 +595,7 @@ def handle(request, cassette=cassette, recorded=recorded, calls=calls):
                 ),
                 stream,
             )
-        if stream:
+        if stream and responses:
             # Native streaming documents only this omitted-usage normalization.
             for event in expected_events:
                 if (
@@ -540,13 +608,16 @@ def handle(request, cassette=cassette, recorded=recorded, calls=calls):
         assert actual_events == expected_events
         assert actual.model_dump() == expected.model_dump()
         assert len(calls) == 2
-        history.extend(item.model_dump(exclude_unset=True) for item in actual.output)
+        if responses:
+            history.extend(item.model_dump(exclude_unset=True) for item in actual.output)
+        else:
+            history.append(_chat_history(actual.choices[0].message, provider))
         if turn + 1 < len(cassettes):
-            next_history = cassettes[turn + 1]["request"]["body"]["input"]
+            next_history = cassettes[turn + 1]["request"]["body"][history_key]
             assert history == next_history[: len(history)]
             suffix = next_history[len(history) :]
             assert suffix and all(
-                item.get("role") == "user" or item.get("type") == "function_call_output"
+                item.get("role") in {"user", "tool"} or item.get("type") == "function_call_output"
                 for item in suffix
             )
             history.extend(deepcopy(suffix))
@@ -605,7 +676,7 @@ def _expected_responses_wire(recorded):
 
 @pytest.mark.parametrize(
     ("provider", "scenario", "mode"),
-    [case for case in PROVIDER_CONVERSATIONS if case.values[2] == "stream"],
+    [case for case in PROVIDER_RESPONSES_CONVERSATIONS if case.values[2] == "stream"],
 )
 async def test_provider_normalized_responses_conversation(provider, scenario, mode):
     """Ensures SDK-visible text, reasoning, calls and usage survive real normalized continuations."""
@@ -659,7 +730,7 @@ def handle(http_request, expected=expected, cassette=cassette, calls=calls):
             )
             if key in recorded
         }
-        client_type = PROVIDER_RESPONSES_CLIENTS[provider]
+        client_type = PROVIDER_CLIENTS[provider, "responses"]
         unsigned_summary = any(
             item.type == "reasoning" and item.summary and not item.encrypted_content
             for item in reference.output
@@ -738,6 +809,151 @@ def handle(http_request, expected=expected, cassette=cassette, calls=calls):
             request.input.extend(_caller_input(suffix))
 
 
+def _responses_caller_input(messages):
+    """Read only caller messages; translated assistant history comes from Molto output."""
+    result = []
+    for message in messages:
+        if message["role"] == "tool":
+            result.append(
+                {
+                    "type": "function_call_output",
+                    "call_id": message["tool_call_id"],
+                    "output": message["content"],
+                }
+            )
+        else:
+            assert message["role"] == "user"
+            content = message["content"]
+            if isinstance(content, str):
+                content = [{"type": "text", "text": content}]
+            assert all(part["type"] == "text" for part in content)
+            result.append(
+                {
+                    "role": "user",
+                    "content": [{"type": "input_text", "text": part["text"]} for part in content],
+                }
+            )
+    return result
+
+
+def _expected_chat_wire(recorded):
+    """Account for normalized text parts and omitted empty assistant metadata on copies."""
+    body = _chat_input_body(recorded)
+    for message in body["messages"]:
+        if message["role"] in {"user", "tool"} and isinstance(message["content"], str):
+            message["content"] = [{"type": "text", "text": message["content"]}]
+        if message["role"] == "assistant":
+            for field in ("audio", "function_call", "refusal", "content"):
+                if field in message and message[field] is None:
+                    del message[field]
+            if message.get("tool_calls") and message.get("content") == "":
+                del message["content"]
+    return body
+
+
+@pytest.mark.parametrize(
+    ("provider", "endpoint", "scenario", "mode"),
+    [
+        case
+        for case in PROVIDER_NATIVE_CONVERSATIONS
+        if case.values[1] == "chat_completions" and case.values[3] == "stream"
+    ],
+)
+@pytest.mark.parametrize("stream", [False, True])
+async def test_provider_chat_translated_conversation(provider, endpoint, scenario, mode, stream):
+    """Ensures Responses through provider Chat preserves SDK text, tools, usage and actual-output continuation."""
+    cassettes = _provider_turns(provider, scenario, mode, endpoint)
+    first = cassettes[0]["request"]["body"]
+    body = {
+        "model": first["model"],
+        "stream": stream,
+        "max_output_tokens": first["max_completion_tokens"],
+        "input": _responses_caller_input(first["messages"]),
+    }
+    if first.get("tools"):
+        body["tools"] = [{"type": "function", **tool["function"]} for tool in first["tools"]]
+    for turn, cassette in enumerate(cassettes):
+        recorded = cassette["request"]["body"]
+        base_url = cassette["upstream_url"].removesuffix("/chat/completions")
+        sdk_body, extras = _sdk_body(recorded)
+        async with httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _, cassette=cassette: _recorded_response(cassette)
+            )
+        ) as transport:
+            sdk = AsyncOpenAI(
+                api_key="test-key", base_url=base_url, http_client=transport, max_retries=0
+            )
+            reference, _ = await _collect_chat(
+                await sdk.chat.completions.create(**sdk_body, extra_body=extras), True
+            )
+        expected = _expected_chat_wire(recorded)
+        calls = []
+
+        def handle(request, cassette=cassette, expected=expected, calls=calls):
+            calls.append(request)
+            assert str(request.url) == cassette["upstream_url"]
+            assert json_loads(request.content) == expected
+            return _recorded_response(cassette)
+
+        controls = {
+            key: recorded[key]
+            for key in ("reasoning", "reasoning_effort", "tool_choice", "parallel_tool_calls")
+            if key in recorded
+        }
+        before = deepcopy(body)
+        async with Molto(
+            http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
+        ) as molto:
+            actual, _ = await _collect_responses(
+                await molto.responses(
+                    body,
+                    provider=provider,
+                    endpoint="chat/completions",
+                    api_key="test-key",
+                    base_url=base_url,
+                    extra_body=controls,
+                ),
+                stream,
+            )
+        assert body == before
+        assert len(calls) == 1
+        message = reference.choices[0].message
+        assert actual.status == "completed"
+        assert (actual.id, actual.model, actual.created_at) == (
+            reference.id,
+            reference.model,
+            reference.created,
+        )
+        assert actual.output_text == (message.content or "")
+        assert [
+            (item.call_id, item.name, json_loads(item.arguments))
+            for item in actual.output
+            if item.type == "function_call"
+        ] == [
+            (call.id, call.function.name, json_loads(call.function.arguments))
+            for call in message.tool_calls or []
+        ]
+        assert not getattr(message, "reasoning_content", None)
+        assert all(item.type in {"message", "function_call"} for item in actual.output)
+        assert (
+            actual.usage.input_tokens,
+            actual.usage.output_tokens,
+            actual.usage.total_tokens,
+        ) == (
+            reference.usage.prompt_tokens,
+            reference.usage.completion_tokens,
+            reference.usage.total_tokens,
+        )
+        if turn + 1 < len(cassettes):
+            body["input"].extend(item.model_dump(exclude_unset=True) for item in actual.output)
+            suffix = cassettes[turn + 1]["request"]["body"]["messages"][
+                len(recorded["messages"]) + 1 :
+            ]
+            assert suffix
+            body["input"].extend(_responses_caller_input(suffix))
+
+
 @pytest.mark.parametrize("provider", ["openrouter", "fireworks"])
 @pytest.mark.parametrize("downstream", ["chat_completions", "messages"])
 @pytest.mark.parametrize("stream", [False, True])

From 3ac5920d80af4adef0632c4e5ee00d50cf37a90a Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Fri, 6 Nov 2026 04:00:11 +0000
Subject: [PATCH 13/15] docs: Record Gemini runner billing limitation

---
 docs/provider-compatibility.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 9cbf34a..c7aa88a 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -43,7 +43,7 @@ The suite checks native SDK parity, actual-output history, normalized lifecycle
 | Together `Qwen/Qwen3.5-9B` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning.enabled=false` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
 | Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning_effort="none"` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
 | OpenRouter `nvidia/nemotron-3.5-lightning:free` | Responses | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
-| Gemini | Chat Completions | Configuration, Google attachment, and missing-index regressions | Live recording was blocked by the provider's location restriction |
+| Gemini | Chat Completions | Configuration, Google attachment, and missing-index regressions | Local recording hit a location restriction; the [GitHub-hosted recording run](https://github.com/EmbeddedLLM/molto/actions/runs/42159676987) returned HTTP 402 because prepaid credits were depleted. No live cassettes yet. |
 | Bedrock `global.openai.gpt-5.6-luna` | Responses and Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with reasoning disabled | Verified only through the runtime endpoint in `ap-southeast-1`; other models, regions, images, parallel calls, and reasoning-enabled continuation are unverified |
 
 Bedrock captures use `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1`, manual actual-output history, and zero retries. Responses requests use `store=false`; Chat Completions requests use `reasoning_effort="none"`. The model is an explicit system-defined inference profile. An earlier Mantle `openai.gpt-oss-20b` attempt returned HTTP 200 but stalled after `response.created` and `response.in_progress`; it was stopped after more than five minutes and remains in staging, outside the successful replay corpus. A Chat Completions attempt with `mistral.ministral-3-3b-instruct` returned an invalid-model HTTP 400 on runtime and timed out after 75 seconds on Mantle; neither attempt is successful replay evidence. The Singapore endpoint and global inference profile do not establish that inference occurred in Singapore.

From f3a6c04492b2f834a46a0bbcb5b5614af1589fe1 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Fri, 6 Nov 2026 04:15:39 +0000
Subject: [PATCH 14/15] test: Add Gemini multi-turn cassette replay

---
 docs/provider-compatibility.md                |   8 +-
 tests/cassettes/README.md                     |   4 +-
 ...gemini-chat_completions-non_stream-00.yaml | 180 ++++++++++++
 ...gemini-chat_completions-non_stream-01.yaml | 255 +++++++++++++++++
 .../gemini-chat_completions-stream-00.yaml    | 202 +++++++++++++
 .../gemini-chat_completions-stream-01.yaml    | 266 ++++++++++++++++++
 ...gemini-chat_completions-non_stream-00.yaml |  82 ++++++
 ...gemini-chat_completions-non_stream-01.yaml |  95 +++++++
 ...gemini-chat_completions-non_stream-02.yaml | 104 +++++++
 .../gemini-chat_completions-stream-00.yaml    |  71 +++++
 .../gemini-chat_completions-stream-01.yaml    |  84 ++++++
 .../gemini-chat_completions-stream-02.yaml    | 111 ++++++++
 tests/upstream/test_multi_turn.py             |  85 ++++--
 13 files changed, 1519 insertions(+), 28 deletions(-)
 create mode 100644 tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-02.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-00.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-01.yaml
 create mode 100644 tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-02.yaml

diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index c7aa88a..7922d09 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -26,7 +26,7 @@ Protocol availability is documented by [Together](https://docs.together.ai/docs/
 
 OpenRouter Responses identifies raw text and summaries explicitly. Its client accepts unsigned raw reasoning, including the recorded `format: "unknown"`, or a summary with its required signature. Named formats, formatted summaries, mixed representations, and mid-item representation changes reject. Native passthrough preserves the original fields. Raw reasoning projects to Chat and Messages; signed summaries can project to Messages. Incoming unsigned Messages thinking still follows the summary-input contract and rejects, so this output support does not establish a complete Messages reasoning round trip.
 
-Fireworks Responses uses the summary profile. Its recorded low-reasoning output contains unsigned summaries, which remain valid native evidence but reject during normalization. Together uses the raw reasoning profile. The Chat Completions recordings disable reasoning; they do not establish reasoning-enabled compatibility for Bedrock or Fireworks.
+Fireworks Responses uses the summary profile. Its recorded low-reasoning output contains unsigned summaries, which remain valid native evidence but reject during normalization. Together uses the raw reasoning profile. The Bedrock and Fireworks Chat Completions recordings disable reasoning; they do not establish reasoning-enabled compatibility for those routes.
 
 Gemini Chat preserves opaque `extra_content.google` attachments on messages, content parts, and function calls, including nested nulls. Translation rejects populated opaque state. Missing streamed tool indices are repaired only when the call identity is unambiguous; ambiguous output rejects rather than losing calls.
 
@@ -43,12 +43,14 @@ The suite checks native SDK parity, actual-output history, normalized lifecycle
 | Together `Qwen/Qwen3.5-9B` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning.enabled=false` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
 | Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning_effort="none"` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
 | OpenRouter `nvidia/nemotron-3.5-lightning:free` | Responses | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
-| Gemini | Chat Completions | Configuration, Google attachment, and missing-index regressions | Local recording hit a location restriction; the [GitHub-hosted recording run](https://github.com/EmbeddedLLM/molto/actions/runs/42159676987) returned HTTP 402 because prepaid credits were depleted. No live cassettes yet. |
+| Gemini `gemini-3.1-flash-lite` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with minimal reasoning and native Google thought-signature continuation | Recorded text and tool outputs carry opaque Google state and reject translation; other models, images, and parallel calls are unverified |
 | Bedrock `global.openai.gpt-5.6-luna` | Responses and Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with reasoning disabled | Verified only through the runtime endpoint in `ap-southeast-1`; other models, regions, images, parallel calls, and reasoning-enabled continuation are unverified |
 
 Bedrock captures use `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1`, manual actual-output history, and zero retries. Responses requests use `store=false`; Chat Completions requests use `reasoning_effort="none"`. The model is an explicit system-defined inference profile. An earlier Mantle `openai.gpt-oss-20b` attempt returned HTTP 200 but stalled after `response.created` and `response.in_progress`; it was stopped after more than five minutes and remains in staging, outside the successful replay corpus. A Chat Completions attempt with `mistral.ministral-3-3b-instruct` returned an invalid-model HTTP 400 on runtime and timed out after 75 seconds on Mantle; neither attempt is successful replay evidence. The Singapore endpoint and global inference profile do not establish that inference occurred in Singapore.
 
-Chat Completions continuation retains the actual SDK output. Together repeats `delta.role`; the SDK accumulator concatenates these values, so the recording caller and replay helper restore the single `assistant` role before reuse. Fireworks rejects null output-only fields in assistant history, so its recording caller and replay helper omit those nulls. These are history-construction choices in the evidence workflow; native production output remains unchanged. Native parity sends input copies without empty output-only annotations, null `reasoning_content`/`tool_calls`, or stream-only tool indices, which are absent from the Chat request schema. The recorded source history is still checked against actual SDK output, and response bytes remain unchanged.
+Chat Completions continuation retains the actual SDK output. Together and Gemini repeat `delta.role`; the SDK accumulator concatenates these values, so the recording caller and replay helper restore the single `assistant` role before reuse. Fireworks rejects null output-only fields in assistant history, so its recording caller and replay helper omit those nulls. Gemini also rejects null optional message fields; its caller omits top-level nulls while retaining nested Google state unchanged. These are history-construction choices in the evidence workflow; native production output remains unchanged. Native parity sends input copies without empty output-only annotations, null `reasoning_content`/`tool_calls`, or stream-only tool indices, which are absent from the Chat request schema. The recorded source history is still checked against actual SDK output, and response bytes remain unchanged.
+
+Gemini captures came from the [successful GitHub-hosted recording run](https://github.com/EmbeddedLLM/molto/actions/runs/42160882628), using the existing Actions secret, native OpenAI SDK calls through the recorder proxy, zero retries, and 90-second request deadlines. The temporary driver and workflow remain on a separate recording branch. Artifact YAML is imported unchanged. Streamed tool calls omit `index`; independent SDK references assign index zero only for these recorded single-call responses before comparison with the Gemini client. Native parity otherwise retains full provider output, including streamed `finish_reason="stop"` on tool calls and Google thought signatures on text and tool output.
 
 The retained OpenRouter captures use an explicit free model, disabled provider fallbacks, zero price caps, and no plugins. Reported costs were zero. Responses history is manual with `store=false`. Captures establish only the recorded model, settings, and date; replay does not prove that translated request bodies were executed live.
 
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index 4c37407..09e2adc 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -16,10 +16,12 @@ Treat these files as provider evidence. Do not edit a recorded value merely to m
 
 `upstream_ir/{scenario}/{provider}-{endpoint}-{mode}-{turn}.yaml` contains independent, unchanged provider recordings for `tests/upstream/test_multi_turn.py`. The scenarios are two-turn `text_chat`, `text_image_chat`, and `consecutive_user_text`, plus three-turn `tool_use` and `tool_use_reasoning`. Text, multimodal input, consecutive user messages, and tool use cover the three canonical upstream clients; reasoning tool use covers Responses and Messages.
 
-Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. Bedrock, Together, and Fireworks also have independent Chat Completions text/tool captures such as `tool_use/togetherai-chat_completions-stream-00.yaml`, covering both native modes. Bedrock Responses and Chat Completions captures retain the explicit regional runtime URL; replay takes the destination from the recorded exchange. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
+Provider cases use their own recordings under the same scenario directories and naming convention, such as `tool_use/fireworks-responses-stream-00.yaml`. Bedrock, Together, Fireworks, and Gemini also have independent Chat Completions text/tool captures such as `tool_use/togetherai-chat_completions-stream-00.yaml`, covering both native modes. Bedrock Responses and Chat Completions captures retain the explicit regional runtime URL; replay takes the destination from the recorded exchange. `tests/upstream/test_multi_turn.py` covers independent SDK parity, native actual-output continuation, normalized continuation, and representable downstream output. Expected request copies account only for normalized wire representations and omitted optional metadata; the recorded request and response bytes remain unchanged. Unsupported reasoning is covered by explicit rejection cases.
 
 The Chat Completions captures use Bedrock `global.openai.gpt-5.6-luna` through Singapore runtime, Together `Qwen/Qwen3.5-9B`, and Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b`, with reasoning disabled. They establish these model/settings combinations, not provider-wide model coverage. Native continuation uses SDK-parsed assistant output. Together repeats the streamed role, which the SDK accumulator concatenates; the caller restores `assistant` before reuse. Fireworks history omits null output-only fields that its input endpoint rejects. Replay follows those same caller choices without modifying recorded responses or production passthrough behavior.
 
+Gemini `gemini-3.1-flash-lite` text/tool captures use `reasoning_effort="minimal"` and preserve Google thought signatures on assistant messages and function calls. They were recorded on a [GitHub-hosted runner](https://github.com/EmbeddedLLM/molto/actions/runs/42160882628) and imported byte for byte. Caller history restores the single assistant role after SDK accumulation of repeated role deltas and removes only top-level null fields and SDK output-only metadata; nested opaque state remains intact. The independent SDK reference supplies index zero for recorded single-call chunks that omit an index, matching the documented Gemini repair. Native replay verifies complete output and actual-signature continuation; translated replay explicitly rejects opaque output instead of stripping it.
+
 `text_image_chat` sends text, an image, and trailing text in one user message on each turn, using the existing `tests/files/github.png` and `tests/files/xlsx.jpg` fixtures as data URLs. `consecutive_user_text` sends two adjacent user messages, each with two text parts, before each assistant response. Both scenarios retain actual assistant output as history and assert that the input IR is not mutated. They also inspect outgoing message roles and content grouping independently of cassette equality, so the expected fixtures cannot silently permit merged user messages or split multimodal parts. These are upstream-client projection checks; incoming request normalization remains covered by the adapter tests.
 
 These requests were recorded outside pytest through `scripts/recorder_proxy.py`, forwarding to the official OpenAI and Anthropic APIs. A standalone driver used `httpx.ASGITransport(app=recorder_proxy.app)` to call the recording proxy in process; the proxy's HTTP client performed the live requests. Each response's completed IR parts became assistant history for the next request. Tool results referenced the returned call IDs, and reasoning continuations retained the returned opaque state. The proxy files were renamed without changing their bytes. Authorization is masked, and Anthropic API-key headers are excluded by the recorder's header whitelist.
diff --git a/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..7d7b955
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-00.yaml
@@ -0,0 +1,180 @@
+filename: 2026-11-06-01a1af0d-271b-7d42-abfc-dfdc607c2e35
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    model: gemini-3.1-flash-lite
+    reasoning_effort: minimal
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '209'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-271b-7d42-abfc-dfdc607c2e35
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: 'To choose the best name for a robot gardener, it helps to consider
+          the "vibe" of your robot. Here are several suggestions categorized by style:
+
+
+          ### Botanical & Nature-Inspired
+
+          These names emphasize the robot’s connection to plants and growth.
+
+          *   **Floros:** A classic, tech-sounding name derived from "flora."
+
+          *   **Sprout:** Cute, simple, and perfect for a small helper.
+
+          *   **Chloris:** Named after the Greek nymph of flowers.
+
+          *   **Bud:** Friendly and short; implies growth.
+
+          *   **Terra:** Latin for earth/soil.
+
+          *   **Thistle:** A fun, slightly edgy name for a robot that handles weeds.
+
+          *   **Arbor:** Sounds sturdy and structural, like a tree.
+
+
+          ### Functional & Descriptive
+
+          These names highlight the robot’s job and capabilities.
+
+          *   **GrowBot:** Straight to the point.
+
+          *   **Prunella:** A clever play on "pruning."
+
+          *   **Cultivator (or "Cully"):** Sounds professional and efficient.
+
+          *   **The Trowel:** A nod to the most essential gardening tool.
+
+          *   **Rooter:** Simple, punchy, and functional.
+
+          *   **WeedWiz:** If the robot is specifically good at weeding.
+
+
+          ### Playful & Whimsical
+
+          If you want your robot to have personality.
+
+          *   **Wall-E (or "Wally"):** The gold standard for nature-loving bots.
+
+          *   **Petal Pusher:** A fun pun on "paper pusher."
+
+          *   **Green Thumb:** A classic, slightly ironic name for a machine.
+
+          *   **Twiggy:** Light, nimble, and plant-related.
+
+          *   **Bloom:** Short, sweet, and descriptive.
+
+          *   **Botany:** A clever pun on the field of study.
+
+
+          ### Sophisticated & Mythological
+
+          These names sound a bit more "high-end" or elegant.
+
+          *   **Gaia:** The personification of the Earth itself.
+
+          *   **Demeter:** The Greek goddess of agriculture.
+
+          *   **Silvanus:** The Roman god of woods and fields.
+
+          *   **Verdant:** An adjective meaning green with grass or other rich vegetation.
+
+          *   **Eden:** Suggests the robot is creating a paradise.
+
+
+          ### My Personal Favorites:
+
+          1.  **Sprout** (if it’s small and cute)
+
+          2.  **Prunella** (if it’s precise and helpful)
+
+          3.  **Terra** (if it’s a heavy-duty landscaping robot)
+
+          4.  **Bud** (if it’s a friendly companion)
+
+
+          **Which one feels like the best fit for your robot''s personality?**'
+        extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0TI4+252Fl0FAaX86pMAl+gciDec4Iol+aGKWnLaddBpKAZrHLCjY8NJHipy292S0D4IKlF5nncWMqOtiRlQvB61PWXVJbg0W/YuRzl/gnAFAlty+notTEppM9cGoWqdI1l5OFXQgpPEctBLPc
+        role: assistant
+    created: 1793938239
+    id: PVPtaqTiGfyyytMPvoLJiQQ
+    model: gemini-3.1-flash-lite
+    object: chat.completion
+    usage:
+      completion_tokens: 592
+      prompt_tokens: 9
+      total_tokens: 601
+  body_bytes: !!binary |
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+  headers:
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-06T04:10:37.211418+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..45563f8
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-non_stream-01.yaml
@@ -0,0 +1,255 @@
+filename: 2026-11-06-01a1af0d-3158-7200-a9d1-36a9ac59013c
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    - content: 'To choose the best name for a robot gardener, it helps to consider
+        the "vibe" of your robot. Here are several suggestions categorized by style:
+
+
+        ### Botanical & Nature-Inspired
+
+        These names emphasize the robot’s connection to plants and growth.
+
+        *   **Floros:** A classic, tech-sounding name derived from "flora."
+
+        *   **Sprout:** Cute, simple, and perfect for a small helper.
+
+        *   **Chloris:** Named after the Greek nymph of flowers.
+
+        *   **Bud:** Friendly and short; implies growth.
+
+        *   **Terra:** Latin for earth/soil.
+
+        *   **Thistle:** A fun, slightly edgy name for a robot that handles weeds.
+
+        *   **Arbor:** Sounds sturdy and structural, like a tree.
+
+
+        ### Functional & Descriptive
+
+        These names highlight the robot’s job and capabilities.
+
+        *   **GrowBot:** Straight to the point.
+
+        *   **Prunella:** A clever play on "pruning."
+
+        *   **Cultivator (or "Cully"):** Sounds professional and efficient.
+
+        *   **The Trowel:** A nod to the most essential gardening tool.
+
+        *   **Rooter:** Simple, punchy, and functional.
+
+        *   **WeedWiz:** If the robot is specifically good at weeding.
+
+
+        ### Playful & Whimsical
+
+        If you want your robot to have personality.
+
+        *   **Wall-E (or "Wally"):** The gold standard for nature-loving bots.
+
+        *   **Petal Pusher:** A fun pun on "paper pusher."
+
+        *   **Green Thumb:** A classic, slightly ironic name for a machine.
+
+        *   **Twiggy:** Light, nimble, and plant-related.
+
+        *   **Bloom:** Short, sweet, and descriptive.
+
+        *   **Botany:** A clever pun on the field of study.
+
+
+        ### Sophisticated & Mythological
+
+        These names sound a bit more "high-end" or elegant.
+
+        *   **Gaia:** The personification of the Earth itself.
+
+        *   **Demeter:** The Greek goddess of agriculture.
+
+        *   **Silvanus:** The Roman god of woods and fields.
+
+        *   **Verdant:** An adjective meaning green with grass or other rich vegetation.
+
+        *   **Eden:** Suggests the robot is creating a paradise.
+
+
+        ### My Personal Favorites:
+
+        1.  **Sprout** (if it’s small and cute)
+
+        2.  **Prunella** (if it’s precise and helpful)
+
+        3.  **Terra** (if it’s a heavy-duty landscaping robot)
+
+        4.  **Bud** (if it’s a friendly companion)
+
+
+        **Which one feels like the best fit for your robot''s personality?**'
+      extra_content:
+        google:
+          thought_signature: EnMKcQFpFH0TI4+252Fl0FAaX86pMAl+gciDec4Iol+aGKWnLaddBpKAZrHLCjY8NJHipy292S0D4IKlF5nncWMqOtiRlQvB61PWXVJbg0W/YuRzl/gnAFAlty+notTEppM9cGoWqdI1l5OFXQgpPEctBLPc
+      role: assistant
+    - content:
+      - text: Explain why that name fits.
+        type: text
+      role: user
+    model: gemini-3.1-flash-lite
+    reasoning_effort: minimal
+    stream: false
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2738'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-3158-7200-a9d1-36a9ac59013c
+response:
+  body:
+    choices:
+    - finish_reason: stop
+      index: 0
+      message:
+        content: 'To give you the best explanation, I have selected the four that
+          hold the most "character" and explained the logic behind why they work so
+          well as a robot gardener''s identity:
+
+
+          ### 1. Sprout (The "Cute & Capable" Choice)
+
+          *   **Why it fits:** The name "Sprout" implies the beginning of growth.
+          For a robot, it creates an endearing irony: a machine built from cold metal
+          and code is named after the most delicate, fragile stage of a plant’s life.
+          It makes the robot seem like a "nurturer" rather than just a machine, which
+          creates an emotional connection for the human owner. It suggests that while
+          the robot is technical, its purpose is to protect life.
+
+
+          ### 2. Prunella (The "Precision & Professional" Choice)
+
+          *   **Why it fits:** This is a play on the word "pruning," but it sounds
+          like a sophisticated, Victorian-era name. It gives the robot a "human" identity
+          while immediately signaling its specific skill set. It sounds like an efficient,
+          highly capable robot that takes its job very seriously. It’s perfect for
+          a sleek, precise machine that meticulously maintains hedges and roses.
+
+
+          ### 3. Terra (The "Foundation & Power" Choice)
+
+          *   **Why it fits:** In Latin, *Terra* means Earth. It sounds grounded,
+          solid, and vast. If your robot is a larger model—perhaps one that handles
+          heavy-duty landscaping, rototilling, or large-scale irrigation—"Terra" makes
+          it sound like a force of nature. It elevates the robot from a mere "tool"
+          to a steward of the environment, implying that the machine is an extension
+          of the garden itself.
+
+
+          ### 4. Bud (The "Friendly Companion" Choice)
+
+          *   **Why it fits:** "Bud" serves a double meaning: it refers to both a
+          plant bud and the slang for "friend" (buddy). It is short, punchy, and incredibly
+          accessible. It’s the perfect name for a robot that interacts with people,
+          perhaps one that follows a gardener around or works in a community garden.
+          It suggests a low-maintenance, reliable, and friendly partner that is always
+          there to help out.
+
+
+          ***
+
+
+          **How to decide?**
+
+          *   **If the robot looks small/cute:** Go with **Sprout**.
+
+          *   **If the robot looks precise/technical:** Go with **Prunella**.
+
+          *   **If the robot is large/heavy-duty:** Go with **Terra**.
+
+          *   **If the robot is meant to be a helpful companion:** Go with **Bud**.
+
+
+          **Which one feels most like your robot?** If you tell me a little about
+          what the robot *looks* like (e.g., is it a small spider-like drone, a bulky
+          tracked vehicle, or a humanoid figure?), I can help you narrow it down further!'
+        extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0TiYhg91jnxObJefxsMyAumTGblU6l0dyji2duPSmvRyNj9p6o/b9lv4DRfUIRIXffUSgg8rcn3Uz8WwupQURGqQ3Cjz7LpRqau/BXBNAgAMzkfSaHwdqv4wGB+5xj/4uyPPkSMV1DAGgfq0bY
+        role: assistant
+    created: 1793938242
+    id: QFPtauZmzqrK0w-6oLj4DQ
+    model: gemini-3.1-flash-lite
+    object: chat.completion
+    usage:
+      completion_tokens: 608
+      prompt_tokens: 609
+      total_tokens: 1217
+  body_bytes: !!binary |
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+    bnMiOjEyMTd9fQ==
+  headers:
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-06T04:10:39.832330+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..9960ea4
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-00.yaml
@@ -0,0 +1,202 @@
+filename: 2026-11-06-01a1af0d-1449-7083-9df6-5b57d3d63851
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    model: gemini-3.1-flash-lite
+    reasoning_effort: minimal
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '248'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-1449-7083-9df6-5b57d3d63851
+response:
+  error_event: false
+  headers:
+    cache-control: private
+    content-type: text/event-stream
+  sse:
+  - 'data: {"choices":[{"delta":{"content":"To choose the best name for a robot gardener,
+    it helps to decide","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":14,"prompt_tokens":9,"total_tokens":23}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" on the \"personality\" you want it to
+    have. Here are a few suggestions broken down by category:\n\n### Friendly & Helpful","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":40,"prompt_tokens":9,"total_tokens":49}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"\n*   **Sprout:** Simple, classic, and
+    suggests new growth.\n*   **Buddy:** Sounds like a reliable, approachable","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":68,"prompt_tokens":9,"total_tokens":77}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" companion.\n*   **Petal:** Gentle and
+    nature-focused.\n*   **Gardner:** A play","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":92,"prompt_tokens":9,"total_tokens":101}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" on \"gardener\" that feels like a robot
+    name.\n*   **Moss:** Perfect if the robot is small","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":116,"prompt_tokens":9,"total_tokens":125}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":", green, or rugged.\n\n### Tech-Focused
+    & Clever\n*   **Bot-anist:** The gold standard","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":141,"prompt_tokens":9,"total_tokens":150}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" for a robot gardener pun.\n*   **Terra:**
+    Latin for Earth; sounds futuristic but grounded.\n*   **Root","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":167,"prompt_tokens":9,"total_tokens":176}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"-R:** A play on \"Router,\" but for a
+    plant-based robot.\n*   **S.O.I.L","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":195,"prompt_tokens":9,"total_tokens":204}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":". (System for Organic Integrated Life):**
+    An acronym name sounds very \"robot-like.\"\n*   **Cult","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":219,"prompt_tokens":9,"total_tokens":228}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"ivator-9:** Sounds professional and industrial.\n\n###
+    Whimsical & Fun\n*   **Thistle:** A bit","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":245,"prompt_tokens":9,"total_tokens":254}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" prickly, but charming.\n*   **Flowerpot:**
+    Cute, especially if the robot has a storage compartment.\n*   **","role":"assistant"},"index":0}],"created":1793938233,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":272,"prompt_tokens":9,"total_tokens":281}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"Digby:** Sounds like a helpful little
+    guy who loves to dig in the dirt.\n*   **Clippy:** A nod","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":298,"prompt_tokens":9,"total_tokens":307}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" to the old Microsoft assistant (but hopefully
+    much more useful).\n*   **Dewey:** A play on \"morning","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":322,"prompt_tokens":9,"total_tokens":331}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" dew\" and a friendly name.\n\n### Sophisticated
+    & Elegant\n*   **Flora:** Timeless and perfectly suited","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":346,"prompt_tokens":9,"total_tokens":355}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" for a green space.\n*   **Silvan:** Derived
+    from the Latin word for \"woods\" or \"forest.\"","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":371,"prompt_tokens":9,"total_tokens":380}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"\n*   **Arbor:** Sounds sturdy, structural,
+    and sophisticated.\n*   **Verde:** Spanish/","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":395,"prompt_tokens":9,"total_tokens":404}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"Italian for green; sounds sleek.\n*   **Gaia:**
+    Named after the personification of the Earth.\n\n###","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":419,"prompt_tokens":9,"total_tokens":428}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" If you want to get creative:\n*   **Combine
+    your favorite plant with a robot term:** (e.g., **","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":445,"prompt_tokens":9,"total_tokens":454}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"Fern-droid**, **Rose-o-matic**, **Cactus-bot**)\n*   **Use
+    an acronym","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":469,"prompt_tokens":9,"total_tokens":478}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":":** (e.g., **G.R.E.E.N.** – Garden Robotic
+    Ecosystem Engineer Node)\n\n**My","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":496,"prompt_tokens":9,"total_tokens":505}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" top recommendation:** If you want something
+    charming, go with **Sprout**. If you want something clever, go with **Bot-an","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":523,"prompt_tokens":9,"total_tokens":532}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"ist**.","role":"assistant"},"index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":525,"prompt_tokens":9,"total_tokens":534}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"extra_content":{"google":{"thought_signature":"EnMKcQFpFH0TNsLpBCRAwxC25RsdOMMSlbUxFGz669CzKl/7EoUKw7QVBn0kL1l9ny7ACRc0jkYIL3GqdjpedlVyKmpV8wuT67dBKnBb9AvnIt930RaGiRkDCcE0a2P+IvmMx2AEdBWynXAla7Kps1dTIiEV"}},"role":"assistant"},"finish_reason":"stop","index":0}],"created":1793938234,"id":"OFPtap_mKpuB1sgPmYaBqQI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":525,"prompt_tokens":9,"total_tokens":534}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-06T04:10:32.393603+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..ff98a76
--- /dev/null
+++ b/tests/cassettes/upstream_ir/text_chat/gemini-chat_completions-stream-01.yaml
@@ -0,0 +1,266 @@
+filename: 2026-11-06-01a1af0d-1e34-7a61-8b70-a9bfcaeb950c
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Suggest a name for a robot gardener.
+        type: text
+      role: user
+    - content: 'To choose the best name for a robot gardener, it helps to decide on
+        the "personality" you want it to have. Here are a few suggestions broken down
+        by category:
+
+
+        ### Friendly & Helpful
+
+        *   **Sprout:** Simple, classic, and suggests new growth.
+
+        *   **Buddy:** Sounds like a reliable, approachable companion.
+
+        *   **Petal:** Gentle and nature-focused.
+
+        *   **Gardner:** A play on "gardener" that feels like a robot name.
+
+        *   **Moss:** Perfect if the robot is small, green, or rugged.
+
+
+        ### Tech-Focused & Clever
+
+        *   **Bot-anist:** The gold standard for a robot gardener pun.
+
+        *   **Terra:** Latin for Earth; sounds futuristic but grounded.
+
+        *   **Root-R:** A play on "Router," but for a plant-based robot.
+
+        *   **S.O.I.L. (System for Organic Integrated Life):** An acronym name sounds
+        very "robot-like."
+
+        *   **Cultivator-9:** Sounds professional and industrial.
+
+
+        ### Whimsical & Fun
+
+        *   **Thistle:** A bit prickly, but charming.
+
+        *   **Flowerpot:** Cute, especially if the robot has a storage compartment.
+
+        *   **Digby:** Sounds like a helpful little guy who loves to dig in the dirt.
+
+        *   **Clippy:** A nod to the old Microsoft assistant (but hopefully much more
+        useful).
+
+        *   **Dewey:** A play on "morning dew" and a friendly name.
+
+
+        ### Sophisticated & Elegant
+
+        *   **Flora:** Timeless and perfectly suited for a green space.
+
+        *   **Silvan:** Derived from the Latin word for "woods" or "forest."
+
+        *   **Arbor:** Sounds sturdy, structural, and sophisticated.
+
+        *   **Verde:** Spanish/Italian for green; sounds sleek.
+
+        *   **Gaia:** Named after the personification of the Earth.
+
+
+        ### If you want to get creative:
+
+        *   **Combine your favorite plant with a robot term:** (e.g., **Fern-droid**,
+        **Rose-o-matic**, **Cactus-bot**)
+
+        *   **Use an acronym:** (e.g., **G.R.E.E.N.** – Garden Robotic Ecosystem Engineer
+        Node)
+
+
+        **My top recommendation:** If you want something charming, go with **Sprout**.
+        If you want something clever, go with **Bot-anist**.'
+      extra_content:
+        google:
+          thought_signature: EnMKcQFpFH0TNsLpBCRAwxC25RsdOMMSlbUxFGz669CzKl/7EoUKw7QVBn0kL1l9ny7ACRc0jkYIL3GqdjpedlVyKmpV8wuT67dBKnBb9AvnIt930RaGiRkDCcE0a2P+IvmMx2AEdBWynXAla7Kps1dTIiEV
+      role: assistant
+    - content:
+      - text: Explain why that name fits.
+        type: text
+      role: user
+    model: gemini-3.1-flash-lite
+    reasoning_effort: minimal
+    stream: true
+    stream_options:
+      include_usage: true
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '2545'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-1e34-7a61-8b70-a9bfcaeb950c
+response:
+  error_event: false
+  headers:
+    cache-control: private
+    content-type: text/event-stream
+  sse:
+  - 'data: {"choices":[{"delta":{"content":"Since","role":"assistant"},"index":0}],"created":1793938235,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":1,"prompt_tokens":542,"total_tokens":543}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" I recommended **Sprout** and **Bot-anist**
+    as the top choices, here","role":"assistant"},"index":0}],"created":1793938235,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":20,"prompt_tokens":542,"total_tokens":562}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" is why each name perfectly captures the
+    \"vibe\" of a robot gardener:\n\n### Why \"Sprout\" works:\n","role":"assistant"},"index":0}],"created":1793938235,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":46,"prompt_tokens":542,"total_tokens":588}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"*   **The Emotional Connection:** \"Sprout\"
+    implies potential. Because a robot is a machine, people often view them","role":"assistant"},"index":0}],"created":1793938235,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":71,"prompt_tokens":542,"total_tokens":613}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" as cold or technical; naming it Sprout
+    humanizes it. It frames the robot’s job not just as \"maintenance","role":"assistant"},"index":0}],"created":1793938235,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":96,"prompt_tokens":542,"total_tokens":638}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":",\" but as \"nurturing.\"\n*   **Simplicity:**
+    It is short, easy to say, and easy for a voice","role":"assistant"},"index":0}],"created":1793938235,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":124,"prompt_tokens":542,"total_tokens":666}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"-activated system to recognize. It feels
+    like the name of a loyal sidekick in a Pixar movie.\n*   **Visual Contrast","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":151,"prompt_tokens":542,"total_tokens":693}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":":** There is a delightful irony in a machine
+    (made of metal, circuits, and wires) having a name that represents","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":175,"prompt_tokens":542,"total_tokens":717}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" the most delicate, organic stage of plant
+    life. It suggests that the robot understands the fragility of the things it is
+    growing","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":199,"prompt_tokens":542,"total_tokens":741}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":".\n\n### Why \"Bot-anist\" works:\n*   **The
+    \"Double Meaning\" Payoff:** It is a","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":226,"prompt_tokens":542,"total_tokens":768}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" clever, high-IQ pun. It explicitly states
+    exactly what the machine is (a *bot*) and exactly what it","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":250,"prompt_tokens":542,"total_tokens":792}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" does (it is an *anist* / botanist). \n*   **Professional
+    Authority:** While \"Sprout\" sounds","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":277,"prompt_tokens":542,"total_tokens":819}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" like a pet, \"Bot-anist\" sounds like
+    an expert. If your robot is sophisticated—meaning it has sensors for soil","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":304,"prompt_tokens":542,"total_tokens":846}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" acidity, light levels, and hydration—this
+    name gives it a sense of scientific purpose.\n*   **Memorable Branding","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":329,"prompt_tokens":542,"total_tokens":871}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":":** If you were to paint this name on
+    the side of the robot, it would immediately tell anyone who sees it exactly","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":353,"prompt_tokens":542,"total_tokens":895}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" what it’s for. It’s witty, punchy, and
+    feels like something a scientist or a high-tech gardener would genuinely","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":381,"prompt_tokens":542,"total_tokens":923}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" name their invention.\n\n***\n\n**How
+    to decide between the two:**\n\n*   Choose **Sprout** if your","role":"assistant"},"index":0}],"created":1793938236,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":406,"prompt_tokens":542,"total_tokens":948}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" robot is small, cute, rounded in shape,
+    or meant to be a friendly helper for a home garden.\n*   Choose","role":"assistant"},"index":0}],"created":1793938237,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":432,"prompt_tokens":542,"total_tokens":974}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" **Bot-anist** if your robot is more functional,
+    tech-forward, analytical, or has a professional \"","role":"assistant"},"index":0}],"created":1793938237,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":456,"prompt_tokens":542,"total_tokens":998}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":"research-lab\" aesthetic.","role":"assistant"},"index":0}],"created":1793938237,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":462,"prompt_tokens":542,"total_tokens":1004}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"extra_content":{"google":{"thought_signature":"EnMKcQFpFH0T1cwJYPvzREudpqMGFsZQZOKibfwFCPKDH1HInC20Xk3/5IyO2WHJQjg0QPhcByGUKwqNKjKjyknSPojBSDyyYZ83sYKsnTHXjbnT3MSpqJUKX6bMfjY2EHhjGTPq994ZBFbL2oL/gU2dTMI5"}},"role":"assistant"},"finish_reason":"stop","index":0}],"created":1793938237,"id":"O1Ptar_6Cs6tytMP1PeV6Q4","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":462,"prompt_tokens":542,"total_tokens":1004}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-06T04:10:34.932037+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-00.yaml
new file mode 100644
index 0000000..96c98b5
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-00.yaml
@@ -0,0 +1,82 @@
+filename: 2026-11-06-01a1af0d-4638-7d01-befb-3c9686d2e070
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    model: gemini-3.1-flash-lite
+    parallel_tool_calls: false
+    reasoning_effort: minimal
+    stream: false
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
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+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '594'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-4638-7d01-befb-3c9686d2e070
+response:
+  body:
+    choices:
+    - finish_reason: tool_calls
+      index: 0
+      message:
+        role: assistant
+        tool_calls:
+        - extra_content:
+            google:
+              thought_signature: EnMKcQFpFH0T6SCCimkhPCQSO5eGtVGq6G0HBFdCkpxca5AjDbs/sFSD7U3o8+a/X8pqjYGmKKt8xyDbUSYDuM0kK8NjfiRpNCSJaDQwOBtCNM/nZ9A+dKGlA0QGyK9PGXKu2LyJQ0PVis6NAYn1eiiq6dt0
+          function:
+            arguments: '{"path":"index.txt"}'
+            name: read_file
+          id: call_14462867661861740233
+          type: function
+    created: 1793938245
+    id: RVPtasDMFNWEytMPucGewAI
+    model: gemini-3.1-flash-lite
+    object: chat.completion
+    usage:
+      completion_tokens: 18
+      prompt_tokens: 75
+      total_tokens: 93
+  body_bytes: !!binary |
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+timestamp: '2026-11-06T04:10:45.176067+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-01.yaml
new file mode 100644
index 0000000..8e6f97a
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-01.yaml
@@ -0,0 +1,95 @@
+filename: 2026-11-06-01a1af0d-4876-7922-81cb-450444ee4f5c
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0T6SCCimkhPCQSO5eGtVGq6G0HBFdCkpxca5AjDbs/sFSD7U3o8+a/X8pqjYGmKKt8xyDbUSYDuM0kK8NjfiRpNCSJaDQwOBtCNM/nZ9A+dKGlA0QGyK9PGXKu2LyJQ0PVis6NAYn1eiiq6dt0
+        function:
+          arguments: '{"path":"index.txt"}'
+          name: read_file
+        id: call_14462867661861740233
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_14462867661861740233
+    model: gemini-3.1-flash-lite
+    parallel_tool_calls: false
+    reasoning_effort: minimal
+    stream: false
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1044'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-4876-7922-81cb-450444ee4f5c
+response:
+  body:
+    choices:
+    - finish_reason: tool_calls
+      index: 0
+      message:
+        role: assistant
+        tool_calls:
+        - extra_content:
+            google:
+              thought_signature: EnMKcQFpFH0TBTxFH37SuNO5TucmgeOU0UnuKRqRa1izfZY5KYP+PRvZMLE/tW3Nl6gmiIS0rWAUuYqCOIYgzFsXmnSIlAqZtCt/xn2dYriFlMhGSn5XirTmVOEnFBhJwqVVWeTVJ6nruuAGJfyMurHG8fht
+          function:
+            arguments: '{"path":"garden.txt"}'
+            name: read_file
+          id: call_10396871796320240256
+          type: function
+    created: 1793938246
+    id: RVPtaqyJN5bfytMPrcuRuAI
+    model: gemini-3.1-flash-lite
+    object: chat.completion
+    usage:
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+      prompt_tokens: 109
+      total_tokens: 127
+  body_bytes: !!binary |
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diff --git a/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-02.yaml
new file mode 100644
index 0000000..77a55a5
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-non_stream-02.yaml
@@ -0,0 +1,104 @@
+filename: 2026-11-06-01a1af0d-4b37-7f81-a427-c507e25db9f7
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0T6SCCimkhPCQSO5eGtVGq6G0HBFdCkpxca5AjDbs/sFSD7U3o8+a/X8pqjYGmKKt8xyDbUSYDuM0kK8NjfiRpNCSJaDQwOBtCNM/nZ9A+dKGlA0QGyK9PGXKu2LyJQ0PVis6NAYn1eiiq6dt0
+        function:
+          arguments: '{"path":"index.txt"}'
+          name: read_file
+        id: call_14462867661861740233
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_14462867661861740233
+    - role: assistant
+      tool_calls:
+      - extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0TBTxFH37SuNO5TucmgeOU0UnuKRqRa1izfZY5KYP+PRvZMLE/tW3Nl6gmiIS0rWAUuYqCOIYgzFsXmnSIlAqZtCt/xn2dYriFlMhGSn5XirTmVOEnFBhJwqVVWeTVJ6nruuAGJfyMurHG8fht
+        function:
+          arguments: '{"path":"garden.txt"}'
+          name: read_file
+        id: call_10396871796320240256
+        type: function
+    - content: Water the tomatoes every morning and harvest ripe fruit.
+      role: tool
+      tool_call_id: call_10396871796320240256
+    model: gemini-3.1-flash-lite
+    parallel_tool_calls: false
+    reasoning_effort: minimal
+    stream: false
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
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+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
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+  method: POST
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+  query_params: {}
+request_id: 01a1af0d-4b37-7f81-a427-c507e25db9f7
+response:
+  body:
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+    - finish_reason: stop
+      index: 0
+      message:
+        content: The document provides instructions to water tomato plants every morning
+          and harvest the fruit once ripe.
+        extra_content:
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+    model: gemini-3.1-flash-lite
+    object: chat.completion
+    usage:
+      completion_tokens: 17
+      prompt_tokens: 150
+      total_tokens: 167
+  body_bytes: !!binary |
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+    dGFsX3Rva2VucyI6MTY3fX0=
+  headers:
+    content-type: application/json
+  status_code: 200
+timestamp: '2026-11-06T04:10:46.455825+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-00.yaml b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-00.yaml
new file mode 100644
index 0000000..0862ffb
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-00.yaml
@@ -0,0 +1,71 @@
+filename: 2026-11-06-01a1af0d-3d24-76b3-977f-82ee94478583
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    model: gemini-3.1-flash-lite
+    parallel_tool_calls: false
+    reasoning_effort: minimal
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '633'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-3d24-76b3-977f-82ee94478583
+response:
+  error_event: false
+  headers:
+    content-type: text/event-stream
+  sse:
+  - 'data: {"choices":[{"delta":{"role":"assistant","tool_calls":[{"extra_content":{"google":{"thought_signature":"EnMKcQFpFH0TBCf3MhrW5EPapkFsL4ST3JJ/OPCqi+MtWEkiDq6ffxc2TtAGZA20egiuVTqmyyVEVJRJjpRSBolUxs+eN0OyqdD72aLBfG1HI8aZE/pvrFgRsgl7AMl5WR7u3T3qTpGOcMcU7QX7pVP7dD9l"}},"function":{"arguments":"{\"path\":\"index.txt\"}","name":"read_file"},"id":"call_17906014837408201138","type":"function"}]},"index":0}],"created":1793938243,"id":"Q1Ptapm3A9-xuMYPz9-jsAI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":18,"prompt_tokens":75,"total_tokens":93}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"role":"assistant"},"finish_reason":"stop","index":0}],"created":1793938243,"id":"Q1Ptapm3A9-xuMYPz9-jsAI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":18,"prompt_tokens":75,"total_tokens":93}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-06T04:10:42.852359+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-01.yaml b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-01.yaml
new file mode 100644
index 0000000..2bc6df2
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-01.yaml
@@ -0,0 +1,84 @@
+filename: 2026-11-06-01a1af0d-3fea-76d3-8e0e-7af288a71cb2
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0TBCf3MhrW5EPapkFsL4ST3JJ/OPCqi+MtWEkiDq6ffxc2TtAGZA20egiuVTqmyyVEVJRJjpRSBolUxs+eN0OyqdD72aLBfG1HI8aZE/pvrFgRsgl7AMl5WR7u3T3qTpGOcMcU7QX7pVP7dD9l
+        function:
+          arguments: '{"path":"index.txt"}'
+          name: read_file
+        id: call_17906014837408201138
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_17906014837408201138
+    model: gemini-3.1-flash-lite
+    parallel_tool_calls: false
+    reasoning_effort: minimal
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1083'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-3fea-76d3-8e0e-7af288a71cb2
+response:
+  error_event: false
+  headers:
+    content-type: text/event-stream
+  sse:
+  - 'data: {"choices":[{"delta":{"role":"assistant","tool_calls":[{"extra_content":{"google":{"thought_signature":"EnMKcQFpFH0TnD9yNQ7UjAisfTTr7kiJhpVqui8fz4/yLFokDYnxW3jfYVKD/XeH7Djx3BLwPQ9EY8vakquXM97L+WZG4ekwD+iYMv4ZkEkbuKHEQODlsHv9NAWP2msJXzu7GuJtH0kDMRiT1JA6pA0hqQk1"}},"function":{"arguments":"{\"path\":\"garden.txt\"}","name":"read_file"},"id":"call_2523317766613766412","type":"function"}]},"index":0}],"created":1793938244,"id":"Q1PtaqmTLuWtuMYPz5aQqAI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":18,"prompt_tokens":109,"total_tokens":127}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"role":"assistant"},"finish_reason":"stop","index":0}],"created":1793938244,"id":"Q1PtaqmTLuWtuMYPz5aQqAI","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":18,"prompt_tokens":109,"total_tokens":127}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-06T04:10:43.562780+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-02.yaml b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-02.yaml
new file mode 100644
index 0000000..c106a0a
--- /dev/null
+++ b/tests/cassettes/upstream_ir/tool_use/gemini-chat_completions-stream-02.yaml
@@ -0,0 +1,111 @@
+filename: 2026-11-06-01a1af0d-4312-7af2-b5f9-2269a64e88ef
+request:
+  body:
+    max_completion_tokens: 1024
+    messages:
+    - content:
+      - text: Read index.txt using read_file. It contains the path of another file.
+          Read that file too, then summarize its contents in one sentence.
+        type: text
+      role: user
+    - role: assistant
+      tool_calls:
+      - extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0TBCf3MhrW5EPapkFsL4ST3JJ/OPCqi+MtWEkiDq6ffxc2TtAGZA20egiuVTqmyyVEVJRJjpRSBolUxs+eN0OyqdD72aLBfG1HI8aZE/pvrFgRsgl7AMl5WR7u3T3qTpGOcMcU7QX7pVP7dD9l
+        function:
+          arguments: '{"path":"index.txt"}'
+          name: read_file
+        id: call_17906014837408201138
+        type: function
+    - content: garden.txt
+      role: tool
+      tool_call_id: call_17906014837408201138
+    - role: assistant
+      tool_calls:
+      - extra_content:
+          google:
+            thought_signature: EnMKcQFpFH0TnD9yNQ7UjAisfTTr7kiJhpVqui8fz4/yLFokDYnxW3jfYVKD/XeH7Djx3BLwPQ9EY8vakquXM97L+WZG4ekwD+iYMv4ZkEkbuKHEQODlsHv9NAWP2msJXzu7GuJtH0kDMRiT1JA6pA0hqQk1
+        function:
+          arguments: '{"path":"garden.txt"}'
+          name: read_file
+        id: call_2523317766613766412
+        type: function
+    - content: Water the tomatoes every morning and harvest ripe fruit.
+      role: tool
+      tool_call_id: call_2523317766613766412
+    model: gemini-3.1-flash-lite
+    parallel_tool_calls: false
+    reasoning_effort: minimal
+    stream: true
+    stream_options:
+      include_usage: true
+    tool_choice: auto
+    tools:
+    - function:
+        description: Read a file by its path.
+        name: read_file
+        parameters:
+          additionalProperties: false
+          properties:
+            path:
+              type: string
+          required:
+          - path
+          type: object
+        strict: false
+      type: function
+  headers:
+    accept: application/json
+    accept-encoding: gzip, deflate
+    authorization: Bearer ***
+    connection: keep-alive
+    content-length: '1578'
+    content-type: application/json
+    user-agent: AsyncOpenAI/Python 2.53.0
+  method: POST
+  path: /v1beta/openai/chat/completions
+  query_params: {}
+request_id: 01a1af0d-4312-7af2-b5f9-2269a64e88ef
+response:
+  error_event: false
+  headers:
+    content-type: text/event-stream
+  sse:
+  - 'data: {"choices":[{"delta":{"content":"This","role":"assistant"},"index":0}],"created":1793938245,"id":"RFPtauT8IaKO1sgPpeLp8QE","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":1,"prompt_tokens":150,"total_tokens":151}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" text provides instructions for maintaining
+    a tomato plant, specifically advising that it be watered every","role":"assistant"},"index":0}],"created":1793938245,"id":"RFPtauT8IaKO1sgPpeLp8QE","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":17,"prompt_tokens":150,"total_tokens":167}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"content":" morning and that ripe fruit should be
+    harvested.","role":"assistant"},"index":0}],"created":1793938245,"id":"RFPtauT8IaKO1sgPpeLp8QE","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":26,"prompt_tokens":150,"total_tokens":176}}
+
+    '
+  - '
+
+    '
+  - 'data: {"choices":[{"delta":{"extra_content":{"google":{"thought_signature":"EnMKcQFpFH0TzkHQdm5/P0OvnM2takhCxvdKxVGMg2EnUZzX+zjE8qZVLmvPpexJ6pD8yYQqzCtZWzOostdaikJpDmes5aVujqYEGwB2c0QJLXM35bIAuh66dmfulTdll1eL1D2f80HsyIgiU/Q+FnZp1UCV"}},"role":"assistant"},"finish_reason":"stop","index":0}],"created":1793938245,"id":"RFPtauT8IaKO1sgPpeLp8QE","model":"gemini-3.1-flash-lite","object":"chat.completion.chunk","usage":{"completion_tokens":26,"prompt_tokens":150,"total_tokens":176}}
+
+    '
+  - '
+
+    '
+  - 'data: [DONE]
+
+    '
+  - '
+
+    '
+  status_code: 200
+  stream_status: complete
+  terminal_event: '[DONE]'
+timestamp: '2026-11-06T04:10:44.370114+00:00'
+upstream_url: https://generativelanguage.googleapis.com/v1beta/openai/chat/completions
diff --git a/tests/upstream/test_multi_turn.py b/tests/upstream/test_multi_turn.py
index 95adc06..a4d0962 100644
--- a/tests/upstream/test_multi_turn.py
+++ b/tests/upstream/test_multi_turn.py
@@ -1,4 +1,4 @@
-from contextlib import asynccontextmanager
+from contextlib import asynccontextmanager, nullcontext
 from copy import deepcopy
 from pathlib import Path
 
@@ -35,6 +35,7 @@
 from molto.upstream.anthropic import AnthropicMessagesClient
 from molto.upstream.bedrock import BedrockChatCompletionsClient, BedrockResponsesClient
 from molto.upstream.fireworks import FireworksChatCompletionsClient, FireworksResponsesClient
+from molto.upstream.gemini import GeminiChatCompletionsClient
 from molto.upstream.openai import OpenAIChatCompletionsClient, OpenAIResponsesClient
 from molto.upstream.openrouter import OpenRouterResponsesClient
 from molto.upstream.together import TogetherAIChatCompletionsClient, TogetherAIResponsesClient
@@ -48,6 +49,7 @@
     BedrockChatCompletionsClient: ("bedrock", "chat_completions"),
     FireworksResponsesClient: ("fireworks", "responses"),
     FireworksChatCompletionsClient: ("fireworks", "chat_completions"),
+    GeminiChatCompletionsClient: ("gemini", "chat_completions"),
     OpenRouterResponsesClient: ("openrouter", "responses"),
     TogetherAIResponsesClient: ("togetherai", "responses"),
     TogetherAIChatCompletionsClient: ("togetherai", "chat_completions"),
@@ -496,12 +498,26 @@ async def _collect_responses(result, stream):
     return completed[0], [event.model_dump() for event in events]
 
 
-async def _collect_chat(result, stream):
+async def _collect_chat(result, stream, *, repair_single_call_index=False):
     if not stream:
         return result, None
     state = ChatCompletionStreamState()
     async with result:
         events = [event async for event in result]
+    if repair_single_call_index:
+        # The Gemini recordings contain one complete, unindexed call per response.
+        # Repair SDK reference copies only; Molto output must already carry indices.
+        events = [event.model_copy(deep=True) for event in events]
+        tools = [
+            tool
+            for event in events
+            for choice in event.choices
+            for tool in choice.delta.tool_calls or []
+        ]
+        assert len(tools) <= 1
+        for tool in tools:
+            assert tool.index is None and tool.id
+            tool.index = 0
     for event in events:
         state.handle_chunk(event)
     return state.get_final_completion(), [event.model_dump() for event in events]
@@ -511,13 +527,17 @@ def _chat_history(message, provider):
     """Reproduce the recording driver's actual SDK-output history."""
     # Fireworks rejects null output-only fields in assistant input.
     history = message.model_dump(exclude_unset=True, exclude_none=provider == "fireworks")
+    if provider == "gemini":
+        # Gemini rejects null optional message fields; opaque nested nulls stay intact.
+        history = {name: value for name, value in history.items() if value is not None}
+        assert history.pop("annotations", None) in (None, [])
     history.pop("parsed", None)
     for call in history.get("tool_calls") or []:
-        if provider == "togetherai":
+        if provider in {"togetherai", "gemini"}:
             call.pop("index", None)
         call["function"].pop("parsed_arguments", None)
-    # Together repeats delta.role; the SDK accumulator concatenates those strings.
-    if provider == "togetherai":
+    # These providers repeat delta.role; the SDK accumulator concatenates those strings.
+    if provider in {"togetherai", "gemini"}:
         assert history["role"] and history["role"].replace("assistant", "") == ""
         history["role"] = "assistant"
     else:
@@ -576,11 +596,13 @@ def handle(request, cassette=cassette, recorded=wire, calls=calls):
                 http_client=transport,
                 max_retries=0,
             )
-            expected, expected_events = await collect(
-                await (sdk.responses.create if responses else sdk.chat.completions.create)(
-                    **body, extra_body=extras
-                ),
-                stream,
+            sdk_result = await (
+                sdk.responses.create if responses else sdk.chat.completions.create
+            )(**body, extra_body=extras)
+            expected, expected_events = await (
+                _collect_chat(sdk_result, stream, repair_single_call_index=True)
+                if provider == "gemini"
+                else collect(sdk_result, stream)
             )
         async with Molto(
             http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
@@ -861,7 +883,7 @@ def _expected_chat_wire(recorded):
 )
 @pytest.mark.parametrize("stream", [False, True])
 async def test_provider_chat_translated_conversation(provider, endpoint, scenario, mode, stream):
-    """Ensures Responses through provider Chat preserves SDK text, tools, usage and actual-output continuation."""
+    """Ensures translated Chat preserves SDK semantics and continuation, or rejects opaque state."""
     cassettes = _provider_turns(provider, scenario, mode, endpoint)
     first = cassettes[0]["request"]["body"]
     body = {
@@ -885,7 +907,9 @@ async def test_provider_chat_translated_conversation(provider, endpoint, scenari
                 api_key="test-key", base_url=base_url, http_client=transport, max_retries=0
             )
             reference, _ = await _collect_chat(
-                await sdk.chat.completions.create(**sdk_body, extra_body=extras), True
+                await sdk.chat.completions.create(**sdk_body, extra_body=extras),
+                True,
+                repair_single_call_index=provider == "gemini",
             )
         expected = _expected_chat_wire(recorded)
         calls = []
@@ -902,23 +926,36 @@ def handle(request, cassette=cassette, expected=expected, calls=calls):
             if key in recorded
         }
         before = deepcopy(body)
+        message = reference.choices[0].message
+        opaque = any(
+            getattr(attachment, "extra_content", None)
+            for attachment in (message, *(message.tool_calls or []))
+        )
         async with Molto(
             http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
         ) as molto:
-            actual, _ = await _collect_responses(
-                await molto.responses(
-                    body,
-                    provider=provider,
-                    endpoint="chat/completions",
-                    api_key="test-key",
-                    base_url=base_url,
-                    extra_body=controls,
-                ),
-                stream,
-            )
+            with (
+                pytest.raises(
+                    ValueError, match="Chat Completions extra_content cannot be translated"
+                )
+                if opaque
+                else nullcontext()
+            ):
+                actual, _ = await _collect_responses(
+                    await molto.responses(
+                        body,
+                        provider=provider,
+                        endpoint="chat/completions",
+                        api_key="test-key",
+                        base_url=base_url,
+                        extra_body=controls,
+                    ),
+                    stream,
+                )
         assert body == before
         assert len(calls) == 1
-        message = reference.choices[0].message
+        if opaque:
+            return
         assert actual.status == "completed"
         assert (actual.id, actual.model, actual.created_at) == (
             reference.id,

From 56c7a22810cd33f1f10db37c29157412ba52d6a8 Mon Sep 17 00:00:00 2001
From: Tan Jia Huei <tanjiahuei@gmail.com>
Date: Fri, 6 Nov 2026 04:45:57 +0000
Subject: [PATCH 15/15] feat: Preserve Gemini thought signatures through
 Responses and Messages

---
 docs/README.md                             |   2 +-
 docs/protocols/anthropic-messages.md       |   2 +-
 docs/protocols/openai-chat-completions.md  |   4 +-
 docs/protocols/openai-responses.md         |   2 +-
 docs/provider-compatibility.md             |   6 +-
 python/ARCHITECTURE.md                     |   8 +-
 python/CONVENTIONS.md                      |   2 +-
 python/molto/providers.py                  |   2 +-
 python/molto/upstream/gemini.py            |  51 ++++
 python/molto/upstream/openai.py            | 114 ++++++---
 tests/cassettes/README.md                  |   2 +-
 tests/core/test_provider_history_routes.py | 197 +++++++++++++++
 tests/test_providers.py                    |   2 +-
 tests/upstream/test_multi_turn.py          | 277 +++++++++++++++++----
 tests/upstream/test_openai.py              |  13 +-
 15 files changed, 580 insertions(+), 104 deletions(-)

diff --git a/docs/README.md b/docs/README.md
index 315684e..eecdc41 100644
--- a/docs/README.md
+++ b/docs/README.md
@@ -234,7 +234,7 @@ Responses events label those representations explicitly and must agree with the
 
 A Responses reasoning lifecycle must contain raw reasoning without a summary or signature, a summary accompanied by a signature without raw reasoning, or a signature without reasoning text. A Messages thinking lifecycle follows the same pairing rule. A completely empty start may be deferred until its representation is known, and a lifecycle must not switch representations.
 
-Although a provider profile can classify Chat `reasoning_content` as a summary, Chat has no signature field. Current translated routes through Chat therefore support only unsigned raw reasoning. Summary translation through Chat fails at the Responses or Messages signature boundary rather than silently discarding required continuation state.
+Although a provider profile can classify Chat `reasoning_content` as a summary, standard Chat has no signature field. Generic translated Chat routes therefore support only unsigned raw reasoning. Summary translation through Chat fails at the Responses or Messages signature boundary rather than silently discarding required continuation state. The [Gemini client](provider-compatibility.md#provider-differences) additionally translates its Google thought-signature extension into Responses `encrypted_content` or Messages `signature` and restores the original text/tool attachment on continuation.
 
 ### Opaque continuation state
 
diff --git a/docs/protocols/anthropic-messages.md b/docs/protocols/anthropic-messages.md
index 34d7a1f..7d4827f 100644
--- a/docs/protocols/anthropic-messages.md
+++ b/docs/protocols/anthropic-messages.md
@@ -370,7 +370,7 @@ When Messages is the translated upstream and the provider is Anthropic, missing,
 
 Cross-protocol Messages support includes streaming and non-streaming requests for the explicitly mapped text, portable image input, thinking, custom function tools, direct tool calls, successful tool results, limited failed-result paths, conversation history, lifecycle metadata, termination, and usage semantics described above.
 
-A route targeting Messages must supply a downstream output-token limit because Messages requires `max_tokens`. Reasoning summaries are not currently portable through Chat Completions in either direction because Chat has no signature slot. Molto also does not enforce the same-provider requirement for opaque continuation state; callers must keep signatures with their issuing provider.
+A route targeting Messages must supply a downstream output-token limit because Messages requires `max_tokens`. Reasoning summaries are not currently portable through generic Chat Completions because standard Chat has no signature slot. Gemini signature-only state is supported: a thinking block with empty `thinking` and the original `signature` follows its associated text or tool-use block, and echoing that order restores the Gemini attachment. Molto also does not enforce the same-provider requirement for opaque continuation state; callers must keep signatures with their issuing provider.
 
 The normalized path does not currently implement image output, non-web citations, refusals as content blocks, redacted thinking, hosted tools other than basic web search, structured output, or multiple candidates. Request fields accepted by the local Messages wrapper are not cross-protocol features unless the adapter and client map them explicitly.
 
diff --git a/docs/protocols/openai-chat-completions.md b/docs/protocols/openai-chat-completions.md
index de56c0c..3297afa 100644
--- a/docs/protocols/openai-chat-completions.md
+++ b/docs/protocols/openai-chat-completions.md
@@ -226,7 +226,7 @@ The provider or model renderer can still merge, move, or reinterpret accepted wi
 
 ### Reasoning and continuation state
 
-Chat's single `reasoning_content` extension can be classified as either the normalized raw reasoning field or summary field according to the provider profile. Chat has no reasoning signature or encrypted continuation slot. In the current implementation, only unsigned raw reasoning is portable through Chat on a translated route. A Chat summary has no signature and therefore cannot satisfy the completed-summary contract required by Responses or Messages; in the reverse direction, a Responses or Messages summary carries a signature that Chat projection rejects rather than silently discarding. Opaque continuation state and summarized reasoning are therefore not currently portable through Chat.
+Chat's single `reasoning_content` extension can be classified as either the normalized raw reasoning field or summary field according to the provider profile. Standard Chat has no reasoning signature or encrypted continuation slot. Generic translated Chat routes support only unsigned raw reasoning. A Chat summary has no signature and therefore cannot satisfy the completed-summary contract required by Responses or Messages; in the reverse direction, a Responses or Messages summary carries a signature that Chat projection rejects rather than silently discarding. The Gemini upstream client is an exception for signature-only state: it maps `extra_content.google.thought_signature` through Responses or Messages and restores its original attachment on continuation. This does not add signed reasoning support to generic downstream Chat projection.
 
 ### Tools and tool results
 
@@ -307,7 +307,7 @@ For representable output, translated Chat retains answer text and inline links w
 These are implementation gaps rather than inherent claims about the Chat protocol:
 
 - An upstream Chat stream silently uses `choices[0]`; additional choices are not rejected and are lost. Requests with `n > 1` should not use translation.
-- Translated reasoning through Chat currently supports only unsigned raw reasoning, such as the `vllm` provider profile. Summary profiles fail at the target protocol's signature boundary in either direction.
+- Generic translated Chat reasoning supports only unsigned raw reasoning, such as the `vllm` provider profile. Gemini additionally supports signature-only continuation through Responses and Messages; reasoning-text translation is unverified.
 - Refusals, hosted tools other than basic web search, moderation, non-web annotations, audio, prediction output, and log probabilities are not carried through the normalized path. Hosted-search structured annotations are deliberately omitted from translated Chat output.
 - Chat text chunks therefore use `logprobs=None`, even when another protocol could theoretically represent compatible token log probabilities.
 - Chat has no normalized per-part status. Target lifecycle and status fields are synthesized where required, and pauses map to `finish_reason="length"`; other terminal reasons without an exact Chat mapping become `finish_reason="stop"`.
diff --git a/docs/protocols/openai-responses.md b/docs/protocols/openai-responses.md
index 19fb623..fbb67f5 100644
--- a/docs/protocols/openai-responses.md
+++ b/docs/protocols/openai-responses.md
@@ -265,7 +265,7 @@ A Responses reasoning lifecycle must use exactly one valid representation:
 
 The item must not combine or switch representations between its added, delta, and done states. A completely empty start may remain deferred until its representation becomes known. When Responses is the downstream target, summary providers require a signature for a completed reasoning summary.
 
-Chat Completions has one `reasoning_content` extension and no signature. Messages has one `thinking_delta` field plus signature lifecycle. Their configured provider capability decides whether their text is classified as Responses raw reasoning or summary. Only unsigned raw Chat reasoning is currently portable into Responses: a Chat summary cannot supply the signature required at Responses part completion. Responses-to-Chat summary translation also fails because Chat rejects the source signature instead of dropping it. Supported delta boundaries remain observable and are preserved by matched parity coverage.
+Standard Chat Completions has one `reasoning_content` extension and no signature. Messages has one `thinking_delta` field plus signature lifecycle. Their configured provider capability decides whether their text is classified as Responses raw reasoning or summary. Generic Chat reasoning supports only unsigned raw text into Responses: a Chat summary cannot supply the signature required at Responses part completion. Responses-to-Chat summary translation also fails because Chat rejects the source signature instead of dropping it. Supported delta boundaries remain observable and are preserved by matched parity coverage. Gemini additionally maps its Google thought signatures to signature-only reasoning items with unchanged `encrypted_content`. These items follow their associated text or function call; echoing the ordered output back to Gemini restores the original attachment.
 
 ### Opaque continuation state
 
diff --git a/docs/provider-compatibility.md b/docs/provider-compatibility.md
index 7922d09..c159c2c 100644
--- a/docs/provider-compatibility.md
+++ b/docs/provider-compatibility.md
@@ -28,7 +28,9 @@ OpenRouter Responses identifies raw text and summaries explicitly. Its client ac
 
 Fireworks Responses uses the summary profile. Its recorded low-reasoning output contains unsigned summaries, which remain valid native evidence but reject during normalization. Together uses the raw reasoning profile. The Bedrock and Fireworks Chat Completions recordings disable reasoning; they do not establish reasoning-enabled compatibility for those routes.
 
-Gemini Chat preserves opaque `extra_content.google` attachments on messages, content parts, and function calls, including nested nulls. Translation rejects populated opaque state. Missing streamed tool indices are repaired only when the call identity is unambiguous; ambiguous output rejects rather than losing calls.
+Gemini native Chat preserves opaque `extra_content.google` attachments on messages, content parts, and function calls, including nested nulls. Translated Gemini text and tool output extracts `extra_content.google.thought_signature` into a signature-only `Thinking` part immediately after the associated text or tool call. Responses exposes the token as reasoning `encrypted_content`; Messages exposes it as a thinking-block `signature`. Echoing those ordered output items as history restores the exact token to its original Gemini message or call. Text still streams immediately; a final-chunk signature follows its completed text part. The signature remains opaque and must stay with its issuing Gemini conversation.
+
+Gemini uses the summary profile, matching Google's [thought-summary documentation](https://ai.google.dev/gemini-api/docs/openai). The recordings establish signature-only continuation, not reasoning-text translation. Other populated Google fields and message-level signatures without an associated text part remain unsupported on translated routes. Missing streamed tool indices are repaired only when the call identity is unambiguous; ambiguous output rejects rather than losing calls.
 
 ## Replay evidence
 
@@ -43,7 +45,7 @@ The suite checks native SDK parity, actual-output history, normalized lifecycle
 | Together `Qwen/Qwen3.5-9B` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning.enabled=false` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
 | Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with `reasoning_effort="none"` | Other models, images, parallel calls, and reasoning-enabled continuation are unverified |
 | OpenRouter `nvidia/nemotron-3.5-lightning:free` | Responses | Text in both native modes; non-streaming sequential tools; streamed raw-reasoning sequential tools | Parallel Responses calls and public translated Messages reasoning round trips are unverified |
-| Gemini `gemini-3.1-flash-lite` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with minimal reasoning and native Google thought-signature continuation | Recorded text and tool outputs carry opaque Google state and reject translation; other models, images, and parallel calls are unverified |
+| Gemini `gemini-3.1-flash-lite` | Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with minimal reasoning; native, normalized, and Responses/Messages thought-signature continuation | Other models, images, reasoning-text output, and live parallel calls are unverified |
 | Bedrock `global.openai.gpt-5.6-luna` | Responses and Chat Completions | Two-turn text and three-turn sequential tools, streaming and non-streaming, with reasoning disabled | Verified only through the runtime endpoint in `ap-southeast-1`; other models, regions, images, parallel calls, and reasoning-enabled continuation are unverified |
 
 Bedrock captures use `https://bedrock-runtime.ap-southeast-1.amazonaws.com/openai/v1`, manual actual-output history, and zero retries. Responses requests use `store=false`; Chat Completions requests use `reasoning_effort="none"`. The model is an explicit system-defined inference profile. An earlier Mantle `openai.gpt-oss-20b` attempt returned HTTP 200 but stalled after `response.created` and `response.in_progress`; it was stopped after more than five minutes and remains in staging, outside the successful replay corpus. A Chat Completions attempt with `mistral.ministral-3-3b-instruct` returned an invalid-model HTTP 400 on runtime and timed out after 75 seconds on Mantle; neither attempt is successful replay evidence. The Singapore endpoint and global inference profile do not establish that inference occurred in Singapore.
diff --git a/python/ARCHITECTURE.md b/python/ARCHITECTURE.md
index e083a89..e814681 100644
--- a/python/ARCHITECTURE.md
+++ b/python/ARCHITECTURE.md
@@ -10,7 +10,7 @@ Three upstream endpoints are implemented:
 - `chat/completions`: native Chat Completions passthrough or cross-protocol translation through Chat Completions;
 - `messages`: native Anthropic Messages passthrough or translated through the normalized representation.
 
-Native same-protocol and cross-protocol routes support streaming and non-streaming requests. Cross-protocol routes cover text, portable image input, raw reasoning, reasoning summaries between Responses and Messages, function tools, tool calls and results, conversation history, prompt-cache intent, lifecycle metadata, and token usage. Because Chat Completions has no signature field, translated routes through Chat currently support only unsigned raw reasoning.
+Native same-protocol and cross-protocol routes support streaming and non-streaming requests. Cross-protocol routes cover text, portable image input, raw reasoning, reasoning summaries between Responses and Messages, function tools, tool calls and results, conversation history, prompt-cache intent, lifecycle metadata, and token usage. Generic Chat Completions supports only unsigned raw reasoning on translated routes. Gemini additionally maps its thought-signature extension through Responses and Messages.
 
 ## Route configuration
 
@@ -258,7 +258,7 @@ OpenAIChatCompletionsAdapter.project_events()
 ChatCompletionChunk SDK stream
 ```
 
-`reasoning_content` is a provider extension to the OpenAI Chat schema, but the field itself does not distinguish raw reasoning from a reasoning summary. Molto models the extension only on assistant messages and uses `ProviderCapabilities.thinking` to classify it. OpenAI classifies it as a summary and vLLM as raw reasoning. Responses events already distinguish `response.reasoning_text.*` from `response.reasoning_summary_*`; their explicit event types remain authoritative. Classification does not make summaries portable through Chat: Responses and Messages require a signature for completed summaries, while Chat has no signature field.
+`reasoning_content` is a provider extension to the OpenAI Chat schema, but the field itself does not distinguish raw reasoning from a reasoning summary. Molto models the extension only on assistant messages and uses `ProviderCapabilities.thinking` to classify it. OpenAI classifies it as a summary and vLLM as raw reasoning. Responses events already distinguish `response.reasoning_text.*` from `response.reasoning_summary_*`; their explicit event types remain authoritative. Classification does not make summaries portable through generic Chat: Responses and Messages require a signature for completed summaries, while standard Chat has no signature field. Gemini separately maps its Google thought-signature extension for signature-only continuation.
 
 ## Normalized request model
 
@@ -502,7 +502,7 @@ Parity differs by path:
 
 ## Current limitations and extension path
 
-The current public paths support native and translated streaming and non-streaming responses for text, portable image input, raw reasoning, reasoning summaries between Responses and Messages, and client-defined function tools. Routes through Chat Completions currently support only unsigned raw reasoning. Function-tool support includes definitions, selection, parallel-call control, successful results, conversation history, and streamed JSON arguments. Native routes preserve hosted web search. Basic hosted search translation is supported through Responses and Messages upstreams, with text-only projection for downstream Chat when reasoning is absent or unsigned; signed or encrypted reasoning raises an error; translated Chat upstreams reject normalized search declarations and history, while opaque `extra_body.web_search_options` is forwarded and returned annotations are dropped. Other hosted tools, failed client-function result semantics outside Messages, other multimodal content, and additional provider capabilities are not complete yet. The matched Responses/Messages fixtures also map the reconstructible opaque reasoning snapshots under the assumption that OpenAI serves both endpoints; opaque state is not portable across providers, the implementation does not enforce its issuer, and the separately recorded terminal Responses ciphertext is not byte-reconstructible through Messages.
+The current public paths support native and translated streaming and non-streaming responses for text, portable image input, raw reasoning, reasoning summaries between Responses and Messages, and client-defined function tools. Generic Chat Completions routes support only unsigned raw reasoning; Gemini also supports signature-only continuation through Responses and Messages. Function-tool support includes definitions, selection, parallel-call control, successful results, conversation history, and streamed JSON arguments. Native routes preserve hosted web search. Basic hosted search translation is supported through Responses and Messages upstreams, with text-only projection for downstream Chat when reasoning is absent or unsigned; signed or encrypted reasoning raises an error; translated Chat upstreams reject normalized search declarations and history, while opaque `extra_body.web_search_options` is forwarded and returned annotations are dropped. Other hosted tools, failed client-function result semantics outside Messages, other multimodal content, and additional provider capabilities are not complete yet. The matched Responses/Messages fixtures also map the reconstructible opaque reasoning snapshots under the assumption that OpenAI serves both endpoints; opaque state is not portable across providers, the implementation does not enforce its issuer, and the separately recorded terminal Responses ciphertext is not byte-reconstructible through Messages.
 
 Function and hosted-search definitions and tool selection use provider-neutral normalized types. Protocol-specific function schemas and tool-choice shapes remain at their adapters and clients.
 
@@ -519,7 +519,7 @@ To add another downstream protocol, add an adapter that normalizes its request a
 
 ## Hosted compatibility boundaries
 
-[Hosted provider configuration and evidence](../docs/provider-compatibility.md) remain separate from endpoint selection and model availability. Provider clients inherit the shared protocol implementation and override only demonstrated differences. Gemini repairs missing tool indices only with unambiguous identity; the generic normalizer rejects missing indices. Native history schemas have narrow Google attachment and OpenRouter reasoning-format extensions. Cross-protocol paths reject populated opaque state they cannot preserve.
+[Hosted provider configuration and evidence](../docs/provider-compatibility.md) remain separate from endpoint selection and model availability. Provider clients inherit the shared protocol implementation and override only demonstrated differences. Gemini repairs missing tool indices only with unambiguous identity; the generic normalizer rejects missing indices. Native history schemas have narrow Google attachment and OpenRouter reasoning-format extensions. Gemini extracts message and tool `google.thought_signature` values into signature-only `Thinking` parts immediately after the associated text or call. The order preserves attachment identity through Responses `encrypted_content` and Messages `signature`, and Gemini restores the token to the preceding content on continuation. The shared Chat normalizer owns part finalization; the Gemini subclass owns extension extraction and history restoration. This keeps text incremental when its signature arrives at the end of the stream. The Gemini summary profile permits signature-only projection without adding a new IR field. Cross-protocol paths still reject other populated opaque state they cannot preserve.
 
 Provider conversations share `tests/upstream/test_multi_turn.py` and scenario-first `upstream_ir/` cassette names. Tests reuse actual output as history and compare independent SDK semantics. Configuration tests do not establish live provider compatibility.
 
diff --git a/python/CONVENTIONS.md b/python/CONVENTIONS.md
index a9e0609..c68983d 100644
--- a/python/CONVENTIONS.md
+++ b/python/CONVENTIONS.md
@@ -137,7 +137,7 @@ Store raw reasoning in `Thinking.content` and `ThinkingDelta.content_delta`. Sto
 
 A Responses reasoning lifecycle must use exactly one valid representation: raw reasoning content with no summary or signature, a reasoning summary accompanied by a signature with no raw content, or a signature with no reasoning summary or raw content. Preserve that representation across its start, delta, and end state; do not combine or switch representations during the part lifecycle. A completely empty start may remain deferred until its representation is known.
 
-Chat Completions reasoning has no signature and may represent either raw reasoning or a summary according to the provider capability profile. Messages follows the same pairing rule as Responses: raw reasoning has no signature, a reasoning summary must have one, and a signature may appear without reasoning text. Enforce protocol-specific pairing at the relevant wire boundary rather than in the provider-neutral normalized models. Current cross-protocol paths through Chat therefore support only unsigned raw reasoning; reject summaries rather than discarding required opaque state.
+Chat Completions reasoning has no signature and may represent either raw reasoning or a summary according to the provider capability profile. Messages follows the same pairing rule as Responses: raw reasoning has no signature, a reasoning summary must have one, and a signature may appear without reasoning text. Enforce protocol-specific pairing at the relevant wire boundary rather than in the provider-neutral normalized models. Generic cross-protocol paths through Chat therefore support only unsigned raw reasoning; reject summaries rather than discarding required opaque state. Gemini additionally maps its Google thought-signature extension to signature-only `Thinking` parts after the associated text or tool call. Preserve that order in Responses/Messages history so the Gemini client can restore the original attachment; never wrap or parse the token.
 
 Treat `ThinkingDelta.signature_delta` as a complete replacement snapshot of provider-specific opaque state. Never concatenate it with `Thinking.signature`.
 
diff --git a/python/molto/providers.py b/python/molto/providers.py
index 18b05a7..3a34b31 100644
--- a/python/molto/providers.py
+++ b/python/molto/providers.py
@@ -22,7 +22,7 @@ class ProviderCapabilities:
     "bedrock": ProviderCapabilities(thinking="summary"),
     "fireworks": ProviderCapabilities(thinking="summary"),
     "openai": ProviderCapabilities(thinking="summary"),
-    "gemini": ProviderCapabilities(thinking="raw"),
+    "gemini": ProviderCapabilities(thinking="summary"),
     "openrouter": ProviderCapabilities(thinking="summary"),
     "togetherai": ProviderCapabilities(thinking="raw"),
     "vllm": ProviderCapabilities(thinking="raw"),
diff --git a/python/molto/upstream/gemini.py b/python/molto/upstream/gemini.py
index a8421cb..ad24191 100644
--- a/python/molto/upstream/gemini.py
+++ b/python/molto/upstream/gemini.py
@@ -2,7 +2,10 @@
 
 from collections.abc import AsyncIterator
 from contextlib import aclosing
+from typing import Any
 
+from molto.types.exceptions import UnsupportedInput
+from molto.types.normalized import TextOutput, Thinking, ToolCall
 from molto.types.openai_chat_completions import (
     OpenAIChatCompletionsCreateRequest,
     OpenAIChatCompletionsStreamChunk,
@@ -23,6 +26,54 @@ class GeminiChatCompletionsClient(OpenAIChatCompletionsClient):
     DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta/openai"
     REQUIRED_API_KEY = "GEMINI_API_KEY"
 
+    @staticmethod
+    def _thought_signature(extra_content: dict[str, Any] | None) -> str | None:
+        if not extra_content:
+            return None
+        google = extra_content.get("google") if isinstance(extra_content, dict) else None
+        if (
+            not isinstance(extra_content, dict)
+            or set(extra_content) != {"google"}
+            or not isinstance(google, dict)
+            or set(google) != {"thought_signature"}
+            or not isinstance(google["thought_signature"], str)
+            or not google["thought_signature"]
+        ):
+            raise ValueError(
+                "Gemini extra_content must contain only a nonempty thought_signature."
+            )
+        return google["thought_signature"]
+
+    @staticmethod
+    def _starts_assistant_message(part: Thinking) -> bool:
+        # A signature-only part follows the text or call it authenticates.
+        return not part.signature or bool(part.content or part.summary)
+
+    @staticmethod
+    def _assistant_message(parts: list[Thinking | TextOutput | ToolCall]) -> dict[str, Any]:
+        message = OpenAIChatCompletionsClient._assistant_message(
+            [part for part in parts if not isinstance(part, Thinking) or not part.signature]
+        )
+        target: dict[str, Any] | None = None
+        tool_index = 0
+        for part in parts:
+            if isinstance(part, TextOutput):
+                target = message
+            elif isinstance(part, ToolCall):
+                target = message["tool_calls"][tool_index]
+                tool_index += 1
+            elif part.signature:
+                if part.content or part.summary or target is None or "extra_content" in target:
+                    raise UnsupportedInput(
+                        "Gemini requires each signature-only thinking part immediately after "
+                        "its text or tool call."
+                    )
+                target["extra_content"] = {"google": {"thought_signature": part.signature}}
+                target = None
+            else:
+                target = None
+        return message
+
     async def native_events(
         self, request: OpenAIChatCompletionsCreateRequest
     ) -> AsyncIterator[OpenAIChatCompletionsStreamChunk]:
diff --git a/python/molto/upstream/openai.py b/python/molto/upstream/openai.py
index 3a5e5f5..f21c473 100644
--- a/python/molto/upstream/openai.py
+++ b/python/molto/upstream/openai.py
@@ -388,6 +388,7 @@ class _ChatToolCallState:
     tool_call_id: str
     tool_name: str
     args: str
+    signature: str | None = None
 
 
 class OpenAIResponsesClient(
@@ -1102,7 +1103,11 @@ def _assistant_message(parts: list[Thinking | TextOutput | ToolCall]) -> dict[st
         return message
 
     @staticmethod
-    def _messages(request: NormalizedRequest) -> list[dict[str, Any]]:
+    def _starts_assistant_message(part: Thinking) -> bool:
+        return True
+
+    @classmethod
+    def _messages(cls, request: NormalizedRequest) -> list[dict[str, Any]]:
         messages: list[dict[str, Any]] = []
         assistant_parts: list[Thinking | TextOutput | ToolCall] = []
         explicit_assistant = False
@@ -1113,7 +1118,7 @@ def _messages(request: NormalizedRequest) -> list[dict[str, Any]]:
         def flush_assistant() -> None:
             nonlocal explicit_assistant
             if explicit_assistant or assistant_parts:
-                messages.append(OpenAIChatCompletionsClient._assistant_message(assistant_parts))
+                messages.append(cls._assistant_message(assistant_parts))
                 assistant_parts.clear()
                 explicit_assistant = False
 
@@ -1175,7 +1180,8 @@ def flush_deferred_images() -> None:
                 assistant_parts.extend(item.content)
                 explicit_assistant = True
             elif isinstance(item, Thinking):
-                flush_assistant()
+                if cls._starts_assistant_message(item):
+                    flush_assistant()
                 assistant_parts.append(item)
             elif isinstance(item, ToolCall):
                 assistant_parts.append(item)
@@ -1316,9 +1322,16 @@ def _validate_request(request: NormalizedRequest) -> None:
             if isinstance(item, ToolReturn) and item.tool_name is not None:
                 raise UnsupportedInput("Chat Completions cannot represent tool return names.")
 
+    @staticmethod
+    def _thought_signature(extra_content: dict[str, Any] | None) -> str | None:
+        if extra_content:
+            raise ValueError("Chat Completions extra_content cannot be translated.")
+        return None
+
     async def _events(self, request: NormalizedRequest) -> AsyncIterator[ModelResponseStreamEvent]:
         response_metadata: ResponseStartEvent | None = None
         part_text = ""
+        text_signature: str | None = None
         usage: Usage | None = None
         termination_reason: TerminationReason | None = None
         active_part: Literal["thinking", "text"] | None = None
@@ -1337,26 +1350,47 @@ def start_part(part: Thinking | TextOutput) -> PartStartEvent:
             part_text = ""
             return PartStartEvent(index=active_part_index, part=part)
 
-        def end_active_part() -> PartEndEvent | None:
-            nonlocal active_part
+        def end_part(
+            index: int, part: Thinking | TextOutput | ToolCall, signature: str | None = None
+        ) -> list[ModelResponseStreamEvent]:
+            nonlocal next_part_index
+            events: list[ModelResponseStreamEvent] = [PartEndEvent(index=index, part=part)]
+            if signature is not None:
+                # Attachment state follows its content so text can stream before
+                # providers supply the signature in their final chunk.
+                thinking = Thinking(content="", summary="", signature=signature)
+                events.extend(
+                    [
+                        PartStartEvent(index=next_part_index, part=thinking),
+                        PartEndEvent(index=next_part_index, part=thinking),
+                    ]
+                )
+                next_part_index += 1
+            return events
+
+        def end_active_part() -> list[ModelResponseStreamEvent]:
+            nonlocal active_part, text_signature
             if active_part == "thinking":
                 part: Thinking | TextOutput = self._classify_thinking(part_text)
             elif active_part == "text":
                 part = TextOutput(content=part_text)
             else:
-                return None
+                return []
             active_part = None
-            return PartEndEvent(index=active_part_index, part=part)
+            events = end_part(active_part_index, part, text_signature)
+            text_signature = None
+            return events
 
-        def end_tool_call(tool_call_index: int) -> PartEndEvent:
+        def end_tool_call(tool_call_index: int) -> list[ModelResponseStreamEvent]:
             state = tool_calls[tool_call_index]
-            return PartEndEvent(
-                index=state.part_index,
-                part=ToolCall(
+            return end_part(
+                state.part_index,
+                ToolCall(
                     tool_call_id=state.tool_call_id,
                     tool_name=state.tool_name,
                     args=state.args,
                 ),
+                state.signature,
             )
 
         native_request = OpenAIChatCompletionsCreateRequest.model_validate(
@@ -1375,23 +1409,21 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
 
                 if chunk.choices:
                     choice = chunk.choices[0]
-                    if any(
-                        getattr(attachment, "extra_content", None)
-                        for attachment in (choice.delta, *(choice.delta.tool_calls or []))
-                    ):
-                        raise ValueError("Chat Completions extra_content cannot be translated.")
+                    signature = self._thought_signature(
+                        getattr(choice.delta, "extra_content", None)
+                    )
                     reasoning_delta = getattr(choice.delta, "reasoning_content", None)
                     # Reasoning and text may interleave: a non-empty reasoning chunk
                     # ends an active text part and starts a new thinking part. Empty
                     # reasoning chunks carry nothing and never start or switch parts.
                     if reasoning_delta:
                         if active_tool_call_index is not None:
-                            yield end_tool_call(active_tool_call_index)
+                            for event in end_tool_call(active_tool_call_index):
+                                yield event
                             active_tool_call_index = None
                         if active_part == "text":
-                            ended_part = end_active_part()
-                            if ended_part is not None:
-                                yield ended_part
+                            for event in end_active_part():
+                                yield event
                         if active_part is None:
                             yield start_part(Thinking(content="", summary=""))
                         part_text += reasoning_delta
@@ -1402,12 +1434,12 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
 
                     if choice.delta.content:
                         if active_tool_call_index is not None:
-                            yield end_tool_call(active_tool_call_index)
+                            for event in end_tool_call(active_tool_call_index):
+                                yield event
                             active_tool_call_index = None
                         if active_part == "thinking":
-                            ended_part = end_active_part()
-                            if ended_part is not None:
-                                yield ended_part
+                            for event in end_active_part():
+                                yield event
                         if active_part is None:
                             yield start_part(TextOutput(content=""))
                         part_text += choice.delta.content
@@ -1416,15 +1448,24 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
                             delta=TextDelta(content_delta=choice.delta.content),
                         )
 
+                    if signature is not None:
+                        if active_part != "text":
+                            raise ValueError(
+                                "A Chat message thought signature requires an associated text part."
+                            )
+                        text_signature = signature
+
                     if choice.delta.tool_calls:
-                        ended_part = end_active_part()
-                        if ended_part is not None:
-                            yield ended_part
+                        for event in end_active_part():
+                            yield event
                         for tool_call_delta in choice.delta.tool_calls:
                             if tool_call_delta.index is None:
                                 raise ValueError(
                                     "Chat Completions tool-call deltas require an index."
                                 )
+                            tool_signature = self._thought_signature(
+                                getattr(tool_call_delta, "extra_content", None)
+                            )
                             function_delta = tool_call_delta.function
                             state = tool_calls.get(tool_call_delta.index)
                             if state is None:
@@ -1438,12 +1479,14 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
                                         "include its ID and function name."
                                     )
                                 if active_tool_call_index is not None:
-                                    yield end_tool_call(active_tool_call_index)
+                                    for event in end_tool_call(active_tool_call_index):
+                                        yield event
                                 state = _ChatToolCallState(
                                     part_index=next_part_index,
                                     tool_call_id=tool_call_delta.id,
                                     tool_name=function_delta.name,
                                     args=function_delta.arguments or "",
+                                    signature=tool_signature,
                                 )
                                 tool_calls[tool_call_delta.index] = state
                                 active_tool_call_index = tool_call_delta.index
@@ -1463,6 +1506,8 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
                                     "Chat Completions tool-call deltas must be contiguous by index."
                                 )
 
+                            if tool_signature is not None:
+                                state.signature = tool_signature
                             name_delta = (
                                 function_delta.name if function_delta is not None else None
                             )
@@ -1496,11 +1541,11 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
                             raise ValueError(
                                 f"Unsupported Chat Completions finish reason: {choice.finish_reason}"
                             ) from exc
-                        ended_part = end_active_part()
-                        if ended_part is not None:
-                            yield ended_part
+                        for event in end_active_part():
+                            yield event
                         if active_tool_call_index is not None:
-                            yield end_tool_call(active_tool_call_index)
+                            for event in end_tool_call(active_tool_call_index):
+                                yield event
                         tool_calls.clear()
                         active_tool_call_index = None
 
@@ -1511,9 +1556,8 @@ def end_tool_call(tool_call_index: int) -> PartEndEvent:
             raise ValueError("Chat Completions stream did not contain a response chunk.")
         if termination_reason is None:
             raise ValueError("Chat Completions stream ended without a finish reason.")
-        ended_part = end_active_part()
-        if ended_part is not None:
-            yield ended_part
+        for event in end_active_part():
+            yield event
         yield ResponseEndEvent(
             id=response_metadata.id,
             created_at=response_metadata.created_at,
diff --git a/tests/cassettes/README.md b/tests/cassettes/README.md
index 09e2adc..9ab9b8b 100644
--- a/tests/cassettes/README.md
+++ b/tests/cassettes/README.md
@@ -20,7 +20,7 @@ Provider cases use their own recordings under the same scenario directories and
 
 The Chat Completions captures use Bedrock `global.openai.gpt-5.6-luna` through Singapore runtime, Together `Qwen/Qwen3.5-9B`, and Fireworks `accounts/fireworks/models/nemotron-lightning-3p5-30b-a3b`, with reasoning disabled. They establish these model/settings combinations, not provider-wide model coverage. Native continuation uses SDK-parsed assistant output. Together repeats the streamed role, which the SDK accumulator concatenates; the caller restores `assistant` before reuse. Fireworks history omits null output-only fields that its input endpoint rejects. Replay follows those same caller choices without modifying recorded responses or production passthrough behavior.
 
-Gemini `gemini-3.1-flash-lite` text/tool captures use `reasoning_effort="minimal"` and preserve Google thought signatures on assistant messages and function calls. They were recorded on a [GitHub-hosted runner](https://github.com/EmbeddedLLM/molto/actions/runs/42160882628) and imported byte for byte. Caller history restores the single assistant role after SDK accumulation of repeated role deltas and removes only top-level null fields and SDK output-only metadata; nested opaque state remains intact. The independent SDK reference supplies index zero for recorded single-call chunks that omit an index, matching the documented Gemini repair. Native replay verifies complete output and actual-signature continuation; translated replay explicitly rejects opaque output instead of stripping it.
+Gemini `gemini-3.1-flash-lite` text/tool captures use `reasoning_effort="minimal"` and preserve Google thought signatures on assistant messages and function calls. They were recorded on a [GitHub-hosted runner](https://github.com/EmbeddedLLM/molto/actions/runs/42160882628) and imported byte for byte. Caller history restores the single assistant role after SDK accumulation of repeated role deltas and removes only top-level null fields and SDK output-only metadata; nested opaque state remains intact. The independent SDK reference supplies index zero for recorded single-call chunks that omit an index, matching the documented Gemini repair. Native replay verifies complete output and actual-signature continuation. Normalized replay verifies signature-only IR parts; public Responses and Messages replay checks unchanged `encrypted_content`/`signature` values against independent SDK output and restores the original message/tool attachments on subsequent requests in both downstream modes. These tests reuse the unchanged recordings.
 
 `text_image_chat` sends text, an image, and trailing text in one user message on each turn, using the existing `tests/files/github.png` and `tests/files/xlsx.jpg` fixtures as data URLs. `consecutive_user_text` sends two adjacent user messages, each with two text parts, before each assistant response. Both scenarios retain actual assistant output as history and assert that the input IR is not mutated. They also inspect outgoing message roles and content grouping independently of cassette equality, so the expected fixtures cannot silently permit merged user messages or split multimodal parts. These are upstream-client projection checks; incoming request normalization remains covered by the adapter tests.
 
diff --git a/tests/core/test_provider_history_routes.py b/tests/core/test_provider_history_routes.py
index 7a4a047..5a3bdae 100644
--- a/tests/core/test_provider_history_routes.py
+++ b/tests/core/test_provider_history_routes.py
@@ -9,6 +9,7 @@
 
 from molto import Molto
 from molto.utils.io import dumps_sse, json_loads
+from tests.core.test_web_search import _collect
 
 
 def _history(message):
@@ -351,3 +352,199 @@ def handler(request):
             )
             if stream:
                 [event async for event in result]
+
+
+def _google_stream(deltas):
+    """Build synthetic Google chunks, retaining late attachment snapshots."""
+    chunk = {
+        "id": "chatcmpl_google",
+        "created": 1,
+        "model": "model",
+        "object": "chat.completion.chunk",
+    }
+    sse = "".join(
+        dumps_sse({**chunk, "choices": [{"index": 0, "delta": delta}]}) for delta in deltas
+    )
+    sse += dumps_sse(
+        {
+            **chunk,
+            "choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}],
+            "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3},
+        }
+    )
+    return httpx.Response(
+        200,
+        stream=httpx.ByteStream((sse + "data: [DONE]\n\n").encode()),
+        headers={"content-type": "text/event-stream"},
+    )
+
+
+@pytest.mark.parametrize("coordinator", ["responses", "messages"])
+@pytest.mark.parametrize("stream", [False, True])
+async def test_google_translated_parallel_signature_history(coordinator, stream):
+    """Ensures late signature snapshots retain exact text and parallel-call associations."""
+    text_state = {"google": {"thought_signature": " message\n"}}
+    calls = [
+        {
+            "id": f"call_{i}",
+            "type": "function",
+            "function": {"name": "lookup", "arguments": f'{{"n":{i}}}'},
+            "extra_content": {"google": {"thought_signature": f"call-{i}"}},
+        }
+        for i in range(2)
+    ]
+    deltas = [{"content": "Checking both."}, {"extra_content": text_state}]
+    for i, call in enumerate(calls):
+        first = deepcopy(call)
+        first["index"] = i
+        first["function"]["arguments"] = '{"n":'
+        first["extra_content"]["google"]["thought_signature"] = f"earlier-{i}"
+        deltas.extend(
+            [
+                {"tool_calls": [first]},
+                {"tool_calls": [{"index": i, "function": {"arguments": f"{i}}}"}}]},
+                {"tool_calls": [{"index": i, "extra_content": call["extra_content"]}]},
+            ]
+        )
+    requests = []
+
+    def handler(request):
+        requests.append(json_loads(request.content))
+        return _google_stream(deltas)
+
+    body = {"model": "model", "stream": stream}
+    if coordinator == "responses":
+        body["input"] = [{"role": "user", "content": "Check both."}]
+    else:
+        body.update(messages=[{"role": "user", "content": "Check both."}], max_tokens=32)
+
+    async def collect(result):
+        if not stream:
+            return result
+        async with result:
+            return _collect(coordinator, [event async for event in result])
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        create = getattr(molto, coordinator)
+        result = await collect(
+            await create(body, endpoint="chat/completions", provider="gemini", api_key="test-key")
+        )
+        if coordinator == "responses":
+            assert [item.type for item in result.output] == [
+                "message",
+                "reasoning",
+                "function_call",
+                "reasoning",
+                "function_call",
+                "reasoning",
+            ]
+            assert [
+                item.encrypted_content for item in result.output if item.type == "reasoning"
+            ] == [" message\n", "call-0", "call-1"]
+            history = [item.model_dump(exclude_unset=True) for item in result.output]
+            body["input"].extend(history)
+            body["input"].extend(
+                {"type": "function_call_output", "call_id": call["id"], "output": "ok"}
+                for call in calls
+            )
+        else:
+            assert [item.type for item in result.content] == [
+                "text",
+                "thinking",
+                "tool_use",
+                "thinking",
+                "tool_use",
+                "thinking",
+            ]
+            assert [item.signature for item in result.content if item.type == "thinking"] == [
+                " message\n",
+                "call-0",
+                "call-1",
+            ]
+            body["messages"].extend(
+                [
+                    {
+                        "role": "assistant",
+                        "content": [item.model_dump() for item in result.content],
+                    },
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "tool_result", "tool_use_id": call["id"], "content": "ok"}
+                            for call in calls
+                        ],
+                    },
+                ]
+            )
+        await collect(
+            await create(body, endpoint="chat/completions", provider="gemini", api_key="test-key")
+        )
+    assert len(requests) == 2
+    assert requests[1]["messages"] == [
+        {"role": "user", "content": [{"type": "text", "text": "Check both."}]},
+        {
+            "role": "assistant",
+            "content": "Checking both.",
+            "extra_content": text_state,
+            "tool_calls": calls,
+        },
+        *[
+            {
+                "role": "tool",
+                "tool_call_id": call["id"],
+                "content": [{"type": "text", "text": "ok"}],
+            }
+            for call in calls
+        ],
+    ]
+
+
+@pytest.mark.parametrize(
+    "extra_content",
+    [
+        {"google": {"thought_signature": ""}},
+        {"google": {"thought_signature": None}},
+        {"google": {"thought_signature": 7}},
+        {"google": {"thought_signature": "state", "unknown": True}},
+        {"google": "invalid"},
+        "invalid",
+    ],
+)
+@pytest.mark.parametrize("placement", ["message", "call"])
+async def test_google_malformed_signature_closes_stream(extra_content, placement):
+    """Ensures malformed Google state fails explicitly and releases the upstream response."""
+    delta = {"content": "Text"}
+    if placement == "message":
+        delta["extra_content"] = extra_content
+    else:
+        delta["tool_calls"] = [
+            {
+                "index": 0,
+                "id": "call_1",
+                "type": "function",
+                "function": {"name": "lookup", "arguments": "{}"},
+                "extra_content": extra_content,
+            }
+        ]
+    responses = []
+
+    def handler(request):
+        response = _google_stream([delta])
+        responses.append(response)
+        return response
+
+    async with Molto(
+        http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
+    ) as molto:
+        with pytest.raises(ValueError, match="extra_content"):
+            result = await molto.responses(
+                {"model": "model", "input": "Hello", "stream": True},
+                endpoint="chat/completions",
+                provider="gemini",
+                api_key="test-key",
+            )
+            async with result:
+                [event async for event in result]
+        assert len(responses) == 1 and responses[0].is_closed
diff --git a/tests/test_providers.py b/tests/test_providers.py
index 5dce843..6bba768 100644
--- a/tests/test_providers.py
+++ b/tests/test_providers.py
@@ -21,7 +21,7 @@ def test_provider_capabilities_are_explicit_and_immutable() -> None:
         "bedrock": ProviderCapabilities(thinking="summary"),
         "fireworks": ProviderCapabilities(thinking="summary"),
         "openai": ProviderCapabilities(thinking="summary"),
-        "gemini": ProviderCapabilities(thinking="raw"),
+        "gemini": ProviderCapabilities(thinking="summary"),
         "openrouter": ProviderCapabilities(thinking="summary"),
         "togetherai": ProviderCapabilities(thinking="raw"),
         "vllm": ProviderCapabilities(thinking="raw"),
diff --git a/tests/upstream/test_multi_turn.py b/tests/upstream/test_multi_turn.py
index a4d0962..9170528 100644
--- a/tests/upstream/test_multi_turn.py
+++ b/tests/upstream/test_multi_turn.py
@@ -1,4 +1,4 @@
-from contextlib import asynccontextmanager, nullcontext
+from contextlib import asynccontextmanager
 from copy import deepcopy
 from pathlib import Path
 
@@ -116,6 +116,7 @@ def _assert_ir(
     tool_name="read_file",
     source_timestamps=None,
     raw_reasoning=False,
+    termination_reason=None,
 ) -> list[TextOutput | ToolCall | Thinking]:
     """Check lifecycle balance and reconstruct each completed part from its deltas."""
     start, end = events[0], events[-1]
@@ -195,7 +196,8 @@ def _assert_ir(
     assert parts
     parts = [parts[index] for index in range(len(parts))]
     assert end.termination_reason == (
-        "tool_call" if any(isinstance(part, ToolCall) for part in parts) else "stop"
+        termination_reason
+        or ("tool_call" if any(isinstance(part, ToolCall) for part in parts) else "stop")
     )
     return parts
 
@@ -873,27 +875,78 @@ def _expected_chat_wire(recorded):
     return body
 
 
+def _messages_caller_input(messages):
+    """Express recorded caller input in Messages without copying assistant history."""
+    result = []
+    for message in messages:
+        if message["role"] == "tool":
+            result.append(
+                {
+                    "role": "user",
+                    "content": [
+                        {
+                            "type": "tool_result",
+                            "tool_use_id": message["tool_call_id"],
+                            "content": message["content"],
+                        }
+                    ],
+                }
+            )
+        else:
+            assert message["role"] == "user"
+            result.append(deepcopy(message))
+    return result
+
+
+def _google_signatures(message):
+    """Read opaque signatures from independently parsed SDK message and tool attachments."""
+    return [
+        extra["google"]["thought_signature"]
+        for attachment in (message, *(message.tool_calls or []))
+        if (extra := getattr(attachment, "extra_content", None))
+    ]
+
+
 @pytest.mark.parametrize(
-    ("provider", "endpoint", "scenario", "mode"),
+    ("provider", "endpoint", "scenario", "mode", "downstream"),
     [
-        case
+        pytest.param(*case.values, downstream, id=f"{case.id}-{downstream}")
         for case in PROVIDER_NATIVE_CONVERSATIONS
         if case.values[1] == "chat_completions" and case.values[3] == "stream"
+        for downstream in (
+            ("responses", "messages") if case.values[0] == "gemini" else ("responses",)
+        )
     ],
 )
 @pytest.mark.parametrize("stream", [False, True])
-async def test_provider_chat_translated_conversation(provider, endpoint, scenario, mode, stream):
-    """Ensures translated Chat preserves SDK semantics and continuation, or rejects opaque state."""
+async def test_provider_chat_translated_conversation(
+    provider, endpoint, scenario, mode, downstream, stream
+):
+    """Ensures translated text, calls and Gemini signatures survive SDK-backed continuation."""
     cassettes = _provider_turns(provider, scenario, mode, endpoint)
     first = cassettes[0]["request"]["body"]
+    responses = downstream == "responses"
+    history_key = "input" if responses else "messages"
+    caller_input = _responses_caller_input if responses else _messages_caller_input
     body = {
         "model": first["model"],
         "stream": stream,
-        "max_output_tokens": first["max_completion_tokens"],
-        "input": _responses_caller_input(first["messages"]),
+        "max_output_tokens" if responses else "max_tokens": first["max_completion_tokens"],
+        history_key: caller_input(first["messages"]),
     }
     if first.get("tools"):
-        body["tools"] = [{"type": "function", **tool["function"]} for tool in first["tools"]]
+        body["tools"] = (
+            [{"type": "function", **tool["function"]} for tool in first["tools"]]
+            if responses
+            else [
+                {
+                    "name": tool["function"]["name"],
+                    "description": tool["function"]["description"],
+                    "input_schema": tool["function"]["parameters"],
+                }
+                for tool in first["tools"]
+            ]
+        )
     for turn, cassette in enumerate(cassettes):
         recorded = cassette["request"]["body"]
         base_url = cassette["upstream_url"].removesuffix("/chat/completions")
@@ -912,6 +965,8 @@ async def test_provider_chat_translated_conversation(provider, endpoint, scenari
                 repair_single_call_index=provider == "gemini",
             )
         expected = _expected_chat_wire(recorded)
+        if not responses:
+            expected["stream_options"]["include_obfuscation"] = False
         calls = []
 
         def handle(request, cassette=cassette, expected=expected, calls=calls):
@@ -927,68 +982,190 @@ def handle(request, cassette=cassette, expected=expected, calls=calls):
         }
         before = deepcopy(body)
         message = reference.choices[0].message
-        opaque = any(
-            getattr(attachment, "extra_content", None)
-            for attachment in (message, *(message.tool_calls or []))
-        )
         async with Molto(
             http_client=httpx.AsyncClient(transport=httpx.MockTransport(handle))
         ) as molto:
-            with (
-                pytest.raises(
-                    ValueError, match="Chat Completions extra_content cannot be translated"
+            result = await getattr(molto, downstream)(
+                body,
+                provider=provider,
+                endpoint="chat/completions",
+                api_key="test-key",
+                base_url=base_url,
+                extra_body=controls,
+            )
+            if responses:
+                actual, _ = await _collect_responses(result, stream)
+            elif stream:
+                actual = None
+                async with result:
+                    async for event in result:
+                        actual = accumulate_event(event=event, current_snapshot=actual)
+            else:
+                actual = result
+        assert body == before
+        assert len(calls) == 1
+        assert (actual.id, actual.model) == (reference.id, reference.model)
+        if responses:
+            assert actual.status == "completed"
+            assert actual.created_at == reference.created
+            assert actual.usage.total_tokens == reference.usage.total_tokens
+            text = actual.output_text
+            tool_calls = [
+                (item.call_id, item.name, json_loads(item.arguments))
+                for item in actual.output
+                if item.type == "function_call"
+            ]
+            thoughts = [item for item in actual.output if item.type == "reasoning"]
+            signatures = [item.encrypted_content for item in thoughts]
+            assert all(not item.summary and not item.content for item in thoughts)
+            assert all(
+                item.type in {"message", "function_call", "reasoning"} for item in actual.output
+            )
+            usage = (actual.usage.input_tokens, actual.usage.output_tokens)
+        else:
+            assert actual.stop_reason == "end_turn"
+            text = "".join(block.text for block in actual.content if block.type == "text")
+            tool_calls = [
+                (block.id, block.name, block.input)
+                for block in actual.content
+                if block.type == "tool_use"
+            ]
+            thoughts = [block for block in actual.content if block.type == "thinking"]
+            signatures = [block.signature for block in thoughts]
+            assert all(not block.thinking for block in thoughts)
+            assert all(block.type in {"text", "tool_use", "thinking"} for block in actual.content)
+            usage = (
+                actual.usage.input_tokens
+                + (actual.usage.cache_read_input_tokens or 0)
+                + (actual.usage.cache_creation_input_tokens or 0),
+                actual.usage.output_tokens,
+            )
+        assert text == (message.content or "")
+        assert tool_calls == [
+            (call.id, call.function.name, json_loads(call.function.arguments))
+            for call in message.tool_calls or []
+        ]
+        assert not getattr(message, "reasoning_content", None)
+        assert signatures == _google_signatures(message)
+        assert usage == (reference.usage.prompt_tokens, reference.usage.completion_tokens)
+        if turn + 1 < len(cassettes):
+            if responses:
+                body[history_key].extend(
+                    item.model_dump(exclude_unset=True) for item in actual.output
                 )
-                if opaque
-                else nullcontext()
-            ):
-                actual, _ = await _collect_responses(
-                    await molto.responses(
-                        body,
-                        provider=provider,
-                        endpoint="chat/completions",
-                        api_key="test-key",
-                        base_url=base_url,
-                        extra_body=controls,
-                    ),
-                    stream,
+            else:
+                body[history_key].append(
+                    {
+                        "role": "assistant",
+                        "content": [block.model_dump() for block in actual.content],
+                    }
                 )
-        assert body == before
+            suffix = cassettes[turn + 1]["request"]["body"]["messages"][
+                len(recorded["messages"]) + 1 :
+            ]
+            assert suffix
+            body[history_key].extend(caller_input(suffix))
+
+
+@pytest.mark.parametrize("scenario", ["text_chat", "tool_use"])
+async def test_gemini_normalized_signature_conversation(scenario):
+    """Ensures Gemini signatures enter IR unchanged and restore their original attachments."""
+    cassettes = _provider_turns("gemini", scenario, "stream", "chat_completions")
+    first = cassettes[0]["request"]["body"]
+    request = NormalizedRequest(
+        model=first["model"],
+        stream=True,
+        max_output_tokens=first["max_completion_tokens"],
+        input=_caller_input(_responses_caller_input(first["messages"])),
+        tools=[FunctionTool(**tool["function"]) for tool in first.get("tools", [])] or None,
+    )
+    for turn, cassette in enumerate(cassettes):
+        recorded = cassette["request"]["body"]
+        base_url = cassette["upstream_url"].removesuffix("/chat/completions")
+        sdk_body, extras = _sdk_body(recorded)
+        async with httpx.AsyncClient(
+            transport=httpx.MockTransport(
+                lambda _, cassette=cassette: _recorded_response(cassette)
+            )
+        ) as transport:
+            sdk = AsyncOpenAI(
+                api_key="test-key", base_url=base_url, http_client=transport, max_retries=0
+            )
+            reference, _ = await _collect_chat(
+                await sdk.chat.completions.create(**sdk_body, extra_body=extras),
+                True,
+                repair_single_call_index=True,
+            )
+        calls = []
+        expected = _expected_chat_wire(recorded)
+
+        def handle(http_request, cassette=cassette, expected=expected, calls=calls):
+            calls.append(http_request)
+            assert str(http_request.url) == cassette["upstream_url"]
+            assert json_loads(http_request.content) == expected
+            return _recorded_response(cassette)
+
+        async with httpx.AsyncClient(transport=httpx.MockTransport(handle)) as transport:
+            client = GeminiChatCompletionsClient(
+                transport,
+                api_key="test-key",
+                base_url=base_url,
+                capabilities=PROVIDER_CAPABILITIES["gemini"],
+                extra_body={
+                    key: recorded[key]
+                    for key in ("reasoning_effort", "tool_choice", "parallel_tool_calls")
+                    if key in recorded
+                },
+            )
+            before = request.model_copy(deep=True)
+            events = [event async for event in client.events(request)]
+            assert request == before
         assert len(calls) == 1
-        if opaque:
-            return
-        assert actual.status == "completed"
-        assert (actual.id, actual.model, actual.created_at) == (
+        assert reference.choices[0].finish_reason == "stop"
+        parts = _assert_ir(
+            events,
+            tool_name=request.tools[0].name if request.tools else "read_file",
+            termination_reason="stop",
+        )
+        message = reference.choices[0].message
+        assert (events[0].id, events[0].model, events[0].created_at) == (
             reference.id,
             reference.model,
             reference.created,
         )
-        assert actual.output_text == (message.content or "")
-        assert [
-            (item.call_id, item.name, json_loads(item.arguments))
-            for item in actual.output
-            if item.type == "function_call"
-        ] == [
-            (call.id, call.function.name, json_loads(call.function.arguments))
-            for call in message.tool_calls or []
-        ]
-        assert not getattr(message, "reasoning_content", None)
-        assert all(item.type in {"message", "function_call"} for item in actual.output)
         assert (
-            actual.usage.input_tokens,
-            actual.usage.output_tokens,
-            actual.usage.total_tokens,
+            events[-1].usage.input_tokens,
+            events[-1].usage.output_tokens,
+            events[-1].usage.total_tokens,
         ) == (
             reference.usage.prompt_tokens,
             reference.usage.completion_tokens,
             reference.usage.total_tokens,
         )
+        assert "".join(part.content for part in parts if isinstance(part, TextOutput)) == (
+            message.content or ""
+        )
+        assert [
+            (part.tool_call_id, part.tool_name, json_loads(part.args))
+            for part in parts
+            if isinstance(part, ToolCall)
+        ] == [
+            (call.id, call.function.name, json_loads(call.function.arguments))
+            for call in message.tool_calls or []
+        ]
+        assert [
+            part.signature for part in parts if isinstance(part, Thinking)
+        ] == _google_signatures(message)
+        assert all(
+            not part.content and not part.summary for part in parts if isinstance(part, Thinking)
+        )
         if turn + 1 < len(cassettes):
-            body["input"].extend(item.model_dump(exclude_unset=True) for item in actual.output)
+            request.input.append(AssistantInput(content=parts))
             suffix = cassettes[turn + 1]["request"]["body"]["messages"][
                 len(recorded["messages"]) + 1 :
             ]
             assert suffix
-            body["input"].extend(_responses_caller_input(suffix))
+            request.input.extend(_caller_input(_responses_caller_input(suffix)))
 
 
 @pytest.mark.parametrize("provider", ["openrouter", "fireworks"])
diff --git a/tests/upstream/test_openai.py b/tests/upstream/test_openai.py
index 4fc4ef9..baec449 100644
--- a/tests/upstream/test_openai.py
+++ b/tests/upstream/test_openai.py
@@ -3981,10 +3981,15 @@ def test_translated_history_rejects_google_state(placement):
     assert message == original
 
 
-@pytest.mark.parametrize("placement", ["message", "call"])
+@pytest.mark.parametrize(
+    ("provider", "placement"),
+    [("openai", "message"), ("openai", "call"), ("gemini", "message")],
+)
 @pytest.mark.parametrize("coordinator", ["responses", "messages"])
 @pytest.mark.parametrize("stream", [False, True])
-async def test_translated_output_rejects_google_state_and_closes(placement, coordinator, stream):
+async def test_translated_output_rejects_google_state_and_closes(
+    provider, placement, coordinator, stream
+):
     """Ensures unsupported output state fails explicitly and releases the upstream stream."""
     delta = {
         "tool_calls": [
@@ -4008,9 +4013,9 @@ def handler(request):
     async with Molto(
         http_client=httpx.AsyncClient(transport=httpx.MockTransport(handler))
     ) as client:
-        with pytest.raises(ValueError, match="extra_content"):
+        with pytest.raises(ValueError, match="extra_content|associated text"):
             result = await getattr(client, coordinator)(
-                body=body, endpoint="chat/completions", provider="gemini", api_key="test"
+                body=body, endpoint="chat/completions", provider=provider, api_key="test"
             )
             if stream:
                 async with result: