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deps: Bump the dependencies group across 1 directory with 9 updates - #113

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Bumps the dependencies group with 9 updates in the / directory:

Package From To
numpy 2.5.3 2.5.4
typer 0.27.2 0.27.3
typesafe-sdk 0.7.2 0.7.5
anthropic 1.8.0 1.17.0
torch 2.14.0 2.15.0
transformers 5.17.0 5.22.1
pytest 9.1.1 9.2.0
ruff 0.16.9 0.17.3
mypy 2.3.1 2.4.1

Updates numpy from 2.5.3 to 2.5.4

Release notes

Sourced from numpy's releases.

v2.5.4 (Oct 10, 2026)

NumPy 2.5.4 Release Notes

Released on 2026-10-10.

NumPy 2.5.4 is a patch release that fixes bugs discovered after the 2.5.3 release. Highlights are:

  • Many typing fixes and improvements,
  • A workaround for the MSVC 19.51 bug, see below.

This release supports Python versions 3.12-3.15.

Improvements

  • numpy.linalg.svd and numpy.linalg.lstsq now raise for inputs containing infinities instead of returning garbage results.

  • Fixed hangs in numpy.linalg.svd and numpy.linalg.lstsq for certain inputs containing infinities for recent versions of some LAPACK implementations.

  • numpy.linalg.cond now handles non-finite inputs more consistently.

(gh-32593)

StringDType hashing with NaN sentinels

StringDType instances with equivalent floating-point NaN sentinels now have equal hashes. Previously, distinct NaN objects could produce equal dtype instances with different hashes, causing dictionary lookups and set deduplication to fail.

(gh-32563)

Changes

MaskedArray resets a fill_value that cannot be represented in a new dtype

A fill_value copied from a source array is now reset to the default fill_value for the new dtype when it cannot be represented in that dtype. Previously the copied value could be stale: ufuncs that change dtype left the result holding a fill_value typed for the old dtype, which raised a TypeError only when something later validated it (such as .view()), and a floating point fill_value that overflows an integer dtype was kept as an out-of-range value together with a RuntimeWarning. Both now fall back to the default, including when a masked array is passed to MaskedArray with a different dtype. A fill_value given explicitly by the user is still validated and raises as before. This can now raise a ComplexWarning if the fill_value is complex and the new dtype is real.

... (truncated)

Commits
  • a3d0ef1 Merge pull request #32969 from charris/prepare-2.5.4
  • 087b536 MAINT: Make OpenBLAS version check use 2.5.x branch.
  • 91acd87 REL: Prepare for the NumPy 2.5.4 release.
  • 9cc555b Merge pull request #32956 from charris/backport-typing-1
  • e04b972 TYP: dtype[void].names: allow setting with list (#32943)
  • d929969 TYP: timedelta64: datetime.timedelta construction isn't deprecated (#...
  • 839467f TYP: ma.getmaskarray: accept array-likes (#32934)
  • 64b721b TYP: polynomial: accept scalar coef in the poly constructors (#32931)
  • 06b7ad2 TYP: void: accept any dtype: str in constructor calls (#32928)
  • c7bcd2c TYP: place: widen mask (#32926)
  • Additional commits viewable in compare view

Updates typer from 0.27.2 to 0.27.3

Release notes

Sourced from typer's releases.

0.27.3

Fixes

  • 🐛 Escape terminal control characters in error messages. PR #1972 by @​tiangolo.

Internal

Changelog

Sourced from typer's changelog.

0.27.3 (2026-10-06)

Fixes

  • 🐛 Escape terminal control characters in error messages. PR #1972 by @​tiangolo.

Internal

Commits

Updates typesafe-sdk from 0.7.2 to 0.7.5

Release notes

Sourced from typesafe-sdk's releases.

v0.7.5 (2026-10-14)

Documentation

  • split usage guide into Basic and Advanced pages
  • add docs for working with images
  • add docs for Box type

Features

  • enable request body compression with zstd by default (non-official APIs may not support this immediately)
  • support Image assets from raw bytes, file paths, base64 strings, and PIL objects
  • support Box questions and answers
  • reference assets in text with attach_assets

v0.7.4 (2026-10-09)

Bug fixes

  • serialize non-finite numbers as strings instead of invalid JSON tokens

v0.7.3 (2026-10-09)

Bug fixes

  • prevent async client crashes during concurrent TLS connections with truststore<=0.10.4
  • add more request validation checks

Documentation

  • add a new Performance section with tips for high-concurrency usage

Performance

  • update the default settings to keep all pooled connections alive for 30 seconds
Changelog

Sourced from typesafe-sdk's changelog.

v0.7.5 (2026-10-14)

Documentation

  • split usage guide into Basic and Advanced pages
  • add docs for working with images
  • add docs for Box type

Features

  • enable request body compression with zstd by default (non-official APIs may not support this immediately)
  • support Image assets from raw bytes, file paths, base64 strings, and PIL objects
  • support Box questions and answers
  • reference assets in text with attach_assets

v0.7.4 (2026-10-09)

Bug fixes

  • serialize non-finite numbers as strings instead of invalid JSON tokens

v0.7.3 (2026-10-09)

Bug fixes

  • prevent async client crashes during concurrent TLS connections with truststore<=0.10.4
  • add more request validation checks

Documentation

  • add a new Performance section with tips for high-concurrency usage

Performance

  • update the default settings to keep all pooled connections alive for 30 seconds
Commits

Updates anthropic from 1.8.0 to 1.17.0

Release notes

Sourced from anthropic's releases.

v1.17.0

Features

  • api: add org webhook endpoints and user profile enforcement events
  • api: add RBAC Group owner-access error codes to the Admin API
  • api: document the unsupported_charset error code for plugin uploads

Bug Fixes

  • bedrock: keep a workspace ID set in default_headers on the Bedrock and Mantle clients
  • google-cloud: keep workspace and user profile IDs set in default_headers

Chores

  • ci: run the changelog check on a standard runner

v1.16.0

Features

  • api: add data_refreshed_at and has_more to analytics report pages
  • api: add workspace rate-limit updates to the Admin API
  • api: make User Profiles generally available
  • client: yield server-sent events with unrecognized event names
  • google-cloud: use the v1 endpoints and add the organization endpoint

Chores

  • ci: skip the changelog check on draft pull requests
  • docs: add credential expiry descriptions to the Managed Agents API reference
  • docs: add Messages API request descriptions
  • docs: correct plugin manifest_version and reach descriptions
  • docs: improve Managed Agents memory store descriptions
  • docs: improve Managed Agents vault and credential descriptions

v1.15.0

Features

  • api: add between_tools to thinking types in model capabilities
  • api: add the speed parameter and usage.speed to Messages
  • api: return a Console organization's usage-tier spend cap as a read-only spend limit

Chores

  • ci: speed up breaking change detection
  • docs: describe headers on Managed Agents and telemetry endpoints
  • internal: simplify the script that formats code blocks in docs

... (truncated)

Changelog

Sourced from anthropic's changelog.

1.17.0 (2026-10-20)

Features

  • api: add org webhook endpoints and user profile enforcement events
  • api: add RBAC Group owner-access error codes to the Admin API
  • api: document the unsupported_charset error code for plugin uploads

Bug Fixes

  • bedrock: keep a workspace ID set in default_headers on the Bedrock and Mantle clients
  • google-cloud: keep workspace and user profile IDs set in default_headers

Chores

  • ci: run the changelog check on a standard runner

1.16.0 (2026-10-20)

Features

  • api: add data_refreshed_at and has_more to analytics report pages
  • api: add workspace rate-limit updates to the Admin API
  • api: make User Profiles generally available
  • client: yield server-sent events with unrecognized event names
  • google-cloud: use the v1 endpoints and add the organization endpoint

Chores

  • ci: skip the changelog check on draft pull requests
  • docs: add credential expiry descriptions to the Managed Agents API reference
  • docs: add Messages API request descriptions
  • docs: correct plugin manifest_version and reach descriptions
  • docs: improve Managed Agents memory store descriptions
  • docs: improve Managed Agents vault and credential descriptions

1.15.0 (2026-10-15)

Features

  • api: add between_tools to thinking types in model capabilities
  • api: add the speed parameter and usage.speed to Messages
  • api: return a Console organization's usage-tier spend cap as a read-only spend limit

Chores

... (truncated)

Commits
  • 5738a25 release: 1.17.0
  • 5de9912 Merge pull request #1045 from anthropics/synced/published
  • 3747d0e feat(api): add org webhook endpoints and user profile enforcement events
  • 1a8af7e feat(api): document the unsupported_charset error code for plugin uploads
  • 31d0f2e fix(client): keep workspace and user profile IDs from default_headers on Bedr...
  • 22ead3f Merge branch 'main'
  • 2d555d1 release: 1.16.0
  • e5da006 Merge pull request #1031 from anthropics/synced/published
  • 98b3cee feat(google-cloud): use the v1 endpoints and add the organization endpoint
  • c981b44 ci: update publish workflows
  • Additional commits viewable in compare view

Updates torch from 2.14.0 to 2.15.0

Release notes

Sourced from torch's releases.

PyTorch 2.15.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Backwards Incompatible Changes

Python Frontend

import torch can no longer be re-executed in the same process, including via importlib.reload(torch) (#194654)

importlib.reload(torch) and del sys.modules["torch"] + re-import now raise, as does retrying import torch after it failed. Re-running the module body was already unsafe in exactly the same way as the retry, so the new check does not distinguish the two. Normal use is unaffected: a successful import leaves torch in sys.modules so the body never re-runs, and re-entrant imports from a backend extension during autoload still short-circuit on sys.modules without reaching the check.

Version 2.14:

import importlib
import torch
importlib.reload(torch)
RuntimeError: Only a single TORCH_LIBRARY can be used to register the namespace triton; ...
(re-importing after a failed import torch failed with similarly misleading errors or could segfault)

Version 2.15:

import importlib
import torch
importlib.reload(torch)
</tr></table>

... (truncated)

Commits
  • 31a77fc [release/2.15] Keep ruff targeting Python 3.10 until the 3.10 code is removed...
  • d0f2af8 [release/2.15] Raise the minimum Python to 3.11 in the package metadata (#202...
  • 30c000d [release/2.15] Revert "[inductor] Prefetch Inductor cache keys at torch.compi...
  • 4893744 [release/2.15] [c10d][nccl2] Make endCoalescing cover all ops in the window (...
  • 469a3f4 [release/2.15][Windows] Remove the zlibwapi.dll install (#201873) (#201880)
  • e581e2d [release/2.15] [c10d][nccl2] Do not treat zero-sized output tensors as aliase...
  • ef10301 [release/2.15] Update xpu commit to revert kernel refactor introduced correct...
  • a3f1751 [inductor] Fix the prologue zero-mask analysis on low-precision rounding cast...
  • e47ff36 Ship top_level.txt in wheel dist-info (#201435)
  • 5dc0495 Skip vectorized gather and scatter_add kernel for short rows (#201426)
  • Additional commits viewable in compare view

Updates transformers from 5.17.0 to 5.22.1

Release notes

Sourced from transformers's releases.

Patch release v5.22.1

We just had to fix the documentation!

** [Fix] Remove WIP doc for Ml4 (huggingface/transformers#50124) from @​remi-or

v5.22.0: Mistral Large 4 (Le Chonk)

New Models

Mistral Large 4 (Le Chonk)

Mistral Large 4 is Mistral's largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe.

Mistral Large 4 unifies instruction following, reasoning, coding, and agentic workflows in a single set of weights. While a generalist model, it shows especially good performance on workloads such as cybersecurity, finance, and law, and it surpasses frontier closed models on visual grounding. It is natively fluent in 160+ languages, including every official language of the European Union.

Key Features

Mistral Large 4 includes the following architectural choices:

  • ~1T total / ~52B active parameters: granular Mixture-of-Experts with 128 routed experts (4 active per token) and 1 shared expert.
  • 1M context length, for long-context workloads.
  • Multimodal input: accepts text and image input, with text output. Pixtral-style vision encoder trained to handle variable image sizes and aspect ratios.
  • Instruct and Reasoning functionalities with function calls, reasoning effort configurable per request.

Mistral Large 4 offers the following capabilities:

  • Reasoning Mode: three reasoning efforts — low, medium, high (default) — so the same model can answer a quick chat reply or work through a complex agentic run.
  • Vision: analyzes images, charts, technical drawings, and documents, with state-of-the-art visual grounding among open weights.
  • Multilingual: natively fluent in 160+ languages, including all official languages of the European Union.
  • System Prompt: strong adherence and support for system prompts.
  • Agentic: native function calling, JSON output, and strict JSON schema enforcement.
  • Cybersecurity: state of the art among open-weight models for security work, while refusing malicious requests.
  • Large Context Window: supports a 1M context window.

The model is released under the Mistral Ecosystem Open-Weight License: a modified version of the MIT license, for both commercial and non-commercial use — operating a Model-as-a-Service business requires a separate commercial license with Mistral.

Recommended Settings

  • Reasoning Effort:
    • 'low' / 'medium' / 'high' — default is 'high'.
    • Use reasoning_effort="high" for complex prompts and agentic usage, 'low' for fast chat replies and 'medium' for day to day usage.
  • Sampling: for all reasoning efforts, we recommend the following sampling parameters:
    • temperature=1.0
    • top_p=0.95
  • System Prompt: define a clear environment and use case, including guidance on how to effectively leverage tools in agentic systems.
  • Tools: keep the set of tools well-defined and limit their number to the minimum required for the use case.
  • Context: the checkpoint supports a 1M context window.

... (truncated)

Commits

Updates pytest from 9.1.1 to 9.2.0

Release notes

Sourced from pytest's releases.

9.2.0

pytest 9.2.0 (2026-10-27)

Removals and backward incompatible breaking changes

  • #14716: -c now raises a usage error for a path that does not exist, is a directory, or is in a format pytest has no loader for. Such paths were previously either ignored or reported as an unhandled FileNotFoundError.

  • #8593: The indirect, ids and scope arguments of Metafunc.parametrize() <pytest.Metafunc.parametrize> -- and therefore of @pytest.mark.parametrize <pytest.mark.parametrize ref> -- are now keyword-only.

    Passing them positionally was a common source of confusing errors, e.g. parametrize("arg1", "arg2", [(1, 2)]) made the argvalues land in indirect and failed with indirect fixture '(1, 2)' doesn't exist; such mistakes now fail with an understandable TypeError. The type annotations have always declared these arguments as keyword-only.

  • #993: Plugin import failures at startup are now reported and classified instead of escaping as a raw traceback with the accidental exit code 1:

    • a plugin that cannot be found -- via -p, pytest_plugins or PYTEST_PLUGINS -- exits with pytest.ExitCode USAGE_ERROR (4), like a conftest.py that fails to import;
    • a plugin that is found but raises while importing -- including a broken pytest11 entry point or a missing plugin dependency -- exits with pytest.ExitCode INTERNAL_ERROR (3), with the traceback preserved.

    pytest.main now returns these codes instead of raising ImportError. Also fixed an IndexError from pytest's own internals when the plugin raised an exception with no arguments.

Deprecations (removal in next major release)

  • #14742: The private _pytest.python.CallSpec2 name has been renamed to CallSpec. The old CallSpec2 alias remains available for now and will be removed in pytest 10 or 11.

  • #14755: Schedule yield_fixture decorator for removal in pytest 10 or 11.

  • #14774: Similarly to the deprecation of class-scoped fixtures defined as instance methods in pytest 9.1, all higher-scoped fixtures (module, package, and session) defined as instance methods are now deprecated.

    They suffer from the same issue the original deprecation only fixed for class-scoped fixtures, see 10819 and 14011.

  • #14808: Passing a non-string value to a string-typed ini option now emits a pytest.PytestRemovedIn10Warning. This affects [tool.pytest.ini_options] in pyproject.toml. In pytest 10 this will raise a TypeError, matching the behavior of the corresponding TOML config path.

  • #7323: Passing bytes to TerminalReporter.write_line() is now deprecated, pass a str instead.

New features

  • #14743: Full diff: now contains a legend explaining the + & - symbols in diff output.
  • #2781: When strict_markers is enabled, marker names used in -m expressions are now validated against registered markers.
  • #6881: Added the parametrize_long_str_id_strategy configuration option to control how long str/bytes parameter values are handled in auto-generated test IDs. Explicit IDs set via ids=[...] or pytest.param(..., id=...) are not affected. Available strategies: short (default, values over 100 chars fall back to argname+index), sha256 (SHA-256 hex digest), legacy (keep full value), and disallow (error requesting explicit IDs).

Improvements in existing functionality

  • #10745: A RecursionError whose recursion origin cannot be located now shows only the first and last 10 stack frames, matching what pytest already did when locating the origin failed outright. Previously the full traceback -- often around a thousand near-identical frames -- was rendered, which was both slow and unreadable. Pass --full-trace to see every frame.

... (truncated)

Commits
  • ae1d0ff Prepare release version 9.2.0
  • 143ce31 pre-commit: exclude codespell on generated release announcements
  • 532dc5f tox: add attrs dependency to regen, needed in reportingdemo.rst
  • a7b2446 Merge pull request #15245 from pytest-dev/claude/project-thread-9jcf91
  • 679d09c [pre-commit.ci] pre-commit autoupdate (#15266)
  • 41d12cd docs: clarify typing for yield fixtures
  • b9022ba Merge pull request #15182 from 1871698/docs/improve-getting-started-description
  • 16f87a7 docs: improve getting-started.rst test execution description
  • 082ed70 Merge pull request #15255 from pytest-dev/claude/project-thread-eoi3d6
  • ae37a01 Merge pull request #15227 from pytest-dev/claude/project-thread-4etye4
  • Additional commits viewable in compare view

Updates ruff from 0.16.9 to 0.17.3

Release notes

Sourced from ruff's releases.

0.17.3

Release Notes

Released on 2026-10-26.

Preview features

  • [suspicious] Add shared-clock-mock (#29074)

Bug fixes

  • [pyupgrade] Avoid incorrect conversions to f-strings (UP032) (#25485)

Performance

  • Buffer stdout in ruff format (#29631)
  • Specialize ASCII identifier lexing (#29503)
  • Speed up identifier and keyword lexing (#29463)

Documentation

  • [flake8-bandit] Describe what the rule actually checks for httpx (S113) (#27936)

Contributors

Install ruff 0.17.3

Install prebuilt binaries via shell script

curl --proto '=https' --tlsv1.2 -LsSf https://releases.astral.sh/github/ruff/releases/download/0.17.3/ruff-installer.sh | sh

Install prebuilt binaries via powershell script

powershell -ExecutionPolicy Bypass -c "irm https://releases.astral.sh/github/ruff/releases/download/0.17.3/ruff-installer.ps1 | iex"

Download ruff 0.17.3

File Platform Checksum
ruff-aarch64-apple-darwin.tar.gz Apple Silicon macOS checksum
ruff-x86_64-apple-darwin.tar.gz Intel macOS checksum
ruff-aarch64-pc-windows-msvc.zip ARM64 Windows checksum

... (truncated)

Changelog

Sourced from ruff's changelog.

0.17.3

Released on 2026-10-26.

Preview features

  • [suspicious] Add shared-clock-mock (#29074)

Bug fixes

  • [pyupgrade] Avoid incorrect conversions to f-strings (UP032) (#25485)

Performance

  • Buffer stdout in ruff format (#29631)
  • Specialize ASCII identifier lexing (#29503)
  • Speed up identifier and keyword lexing (#29463)

Documentation

  • [flake8-bandit] Describe what the rule actually checks for httpx (S113) (#27936)

Contributors

0.17.2

Released on 2026-10-22.

Preview features

  • [complexity] Add unnecessary-regular-expression-compile (#25533)

Bug fixes

  • Avoid syntax errors for type variables with starred constraints (UP040, UP046, UP047, RUF053) (#28362)
  • [pydocstyle] Treat backslash-escaped *args and **kwargs as documented (D417) (#29536)
  • [pylint] Avoid false positive on starred elements (PLE0643) (#29483)
  • [pylint] Mark fixes unsafe when deleting comments (PLR5501, PLW0120) (#29414)
  • [pyupgrade] Mark fix unsafe when deleting comments (UP035) (#29413)

Performance

  • Avoid intermediate names in lint name resolution (#29506)
  • Prefilter bidirectional Unicode checks by UTF-8 leading bytes (#29561)
  • Share postfix parsing and reduce expression copies (#29480)

... (truncated)

Commits

Updates mypy from 2.3.1 to 2.4.1

Changelog

Sourced from mypy's changelog.

Mypy 2.4.1

  • Process overloads as a whole in two-phase type checking (Ivan Levkivskyi, PR 22231)
  • Skip recursive setup for frame-private nested functions in mypyc (Piotr Sawicki, PR 22187)

Acknowledgements

Thanks to all mypy contributors who contributed to this release:

  • A5rocks
  • Adam Dangoor
  • Alex Waygood
  • Ali Hamdan
  • Brian Helba
  • Chad Dombrova
  • David Foster
  • dnwpark
  • Edgar Ramírez Mondragón
  • Giorgos Michas
  • Ivan Levkivskyi
  • Jelle Zijlstra
  • Jukka Lehtosalo
  • Marc Mueller
  • Michael R. Crusoe
  • NIYONSHUTI Emmanuel
  • Piotr Sawicki
  • Shantanu
  • themylogin
  • Vaggelis Danias
  • Willy Bruns

I'd also like to thank my employer, Dropbox, for supporting mypy development.

Mypy 2.3

We've just uploaded mypy 2.3.0 to the Python Package Index (PyPI). Mypy is a static type checker for Python. This release includes new features, performance improvements and bug fixes. You can install it as follows:

python3 -m pip install -U mypy

You can read the full documentation for this release on Read the Docs.

The Upcoming Switch to the New Native Parser

We are planning to enable the new native parser (--native-parser) by default soon. We recommend that you test the native parser in your projects and report any issues in the mypy issue tracker.

Mypyc Free-threading Memory Safety

... (truncated)

Commits

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@dependabot
deps: Bump the dependencies group across 1 directory with 9 updates
ecc1589 
Bumps the dependencies group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [numpy](https://github.com/numpy/numpy) | `2.5.3` | `2.5.4` |
| [typer](https://github.com/fastapi/typer) | `0.27.2` | `0.27.3` |
| [typesafe-sdk](https://github.com/typesafe-ai/typesafe-sdk-python) | `0.7.2` | `0.7.5` |
| [anthropic](https://github.com/anthropics/anthropic-sdk-python) | `1.8.0` | `1.17.0` |
| [torch](https://github.com/pytorch/pytorch) | `2.14.0` | `2.15.0` |
| [transformers](https://github.com/huggingface/transformers) | `5.17.0` | `5.22.1` |
| [pytest](https://github.com/pytest-dev/pytest) | `9.1.1` | `9.2.0` |
| [ruff](https://github.com/astral-sh/ruff) | `0.16.9` | `0.17.3` |
| [mypy](https://github.com/python/mypy) | `2.3.1` | `2.4.1` |



Updates `numpy` from 2.5.3 to 2.5.4
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.5.3...v2.5.4)

Updates `typer` from 0.27.2 to 0.27.3
- [Release notes](https://github.com/fastapi/typer/releases)
- [Changelog](https://github.com/fastapi/typer/blob/master/docs/release-notes.md)
- [Commits](fastapi/typer@0.27.2...0.27.3)

Updates `typesafe-sdk` from 0.7.2 to 0.7.5
- [Release notes](https://github.com/typesafe-ai/typesafe-sdk-python/releases)
- [Changelog](https://github.com/typesafe-ai/typesafe-sdk-python/blob/main/docs/changelog.md)
- [Commits](typesafe-ai/typesafe-sdk-python@v0.7.2...v0.7.5)

Updates `anthropic` from 1.8.0 to 1.17.0
- [Release notes](https://github.com/anthropics/anthropic-sdk-python/releases)
- [Changelog](https://github.com/anthropics/anthropic-sdk-python/blob/main/CHANGELOG.md)
- [Commits](anthropics/anthropic-sdk-python@v1.8.0...v1.17.0)

Updates `torch` from 2.14.0 to 2.15.0
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.14.0...v2.15.0)

Updates `transformers` from 5.17.0 to 5.22.1
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v5.17.0...v5.22.1)

Updates `pytest` from 9.1.1 to 9.2.0
- [Release notes](https://github.com/pytest-dev/pytest/releases)
- [Changelog](https://github.com/pytest-dev/pytest/blob/main/CHANGELOG.rst)
- [Commits](pytest-dev/pytest@9.1.1...9.2.0)

Updates `ruff` from 0.16.9 to 0.17.3
- [Release notes](https://github.com/astral-sh/ruff/releases)
- [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md)
- [Commits](astral-sh/ruff@0.16.9...0.17.3)

Updates `mypy` from 2.3.1 to 2.4.1
- [Changelog](https://github.com/python/mypy/blob/master/CHANGELOG.md)
- [Commits](python/mypy@v2.3.1...v2.4.1)

---
updated-dependencies:
- dependency-name: numpy
  dependency-version: 2.5.4
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: typer
  dependency-version: 0.27.3
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: typesafe-sdk
  dependency-version: 0.7.5
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: dependencies
- dependency-name: anthropic
  dependency-version: 1.17.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: torch
  dependency-version: 2.15.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: transformers
  dependency-version: 5.22.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: pytest
  dependency-version: 9.2.0
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: ruff
  dependency-version: 0.17.3
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: dependencies
- dependency-name: mypy
  dependency-version: 2.4.1
  dependency-type: direct:development
  update-type: version-update:semver-minor
  dependency-group: dependencies
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Nov 8, 2026
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socket-security Bot commented Nov 8, 2026

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Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff Package Supply Chain
Security		 Vulnerability Quality Maintenance License
Updatednumpy@​2.5.3 ⏵ 2.5.475 +110010010070
Updatedtorch@​2.14.0 ⏵ 2.15.07310010010070
Updatedmypy@​2.3.1 ⏵ 2.4.175 +1100100100100
Updatedtransformers@​5.17.0 ⏵ 5.22.177 +1100100100100
Updatedanthropic@​1.8.0 ⏵ 1.17.084 -2100100100100
Updatedpytest@​9.1.1 ⏵ 9.2.087 +1100100100100
Updatedtyper@​0.27.2 ⏵ 0.27.397 +1100100100100
Updatedruff@​0.16.9 ⏵ 0.17.3100100100100100
Updatedtypesafe-sdk@​0.7.2 ⏵ 0.7.5100 +1100100100100

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