dag_cache/pyproject.toml at main · itstheraj/dag_cache · GitHub

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[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"

[project]
name = "dagcache"
version = "0.1.0"
description = "VCR cassettes for agent trajectories: record agent runs as DAGs, replay the canonical path, only call the LLM for net-new paths."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "dagcache contributors" }]
keywords = [
    "llm",
    "llm-agents",
    "agents",
    "ai-agents",
    "agent-trajectory",
    "cache",
    "caching",
    "dag",
    "workflow",
    "memoization",
    "replay",
    "vcr",
    "cassette",
    "openai",
    "langchain",
    "llmops",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

[project.optional-dependencies]
dev = ["pytest"]

[project.scripts]
dagcache = "dagcache.cli:main"

[tool.setuptools.packages.find]
where = ["src"]

[tool.pytest.ini_options]
testpaths = ["tests"]