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mcp-run-python

Official
by pydantic
pyproject.toml2.22 kB
[build-system] requires = ["hatchling", "uv-dynamic-versioning>=0.7.0"] build-backend = "hatchling.build" [tool.hatch.version] source = "uv-dynamic-versioning" [tool.uv-dynamic-versioning] vcs = "git" style = "pep440" bump = true [project] name = "pydantic-evals" dynamic = ["version", "dependencies"] description = "Framework for evaluating stochastic code execution, especially code making use of LLMs" authors = [ { name = "Samuel Colvin", email = "samuel@pydantic.dev" }, { name = "Marcelo Trylesinski", email = "marcelotryle@gmail.com" }, { name = "David Montague", email = "david@pydantic.dev" }, { name = "Alex Hall", email = "alex@pydantic.dev" }, { name = "Douwe Maan", email = "douwe@pydantic.dev" }, ] license = "MIT" readme = "README.md" classifiers = [ "Development Status :: 5 - Production/Stable", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Programming Language :: Python :: 3.13", "Intended Audience :: Developers", "Intended Audience :: Information Technology", "Intended Audience :: System Administrators", "License :: OSI Approved :: MIT License", "Operating System :: Unix", "Operating System :: POSIX :: Linux", "Environment :: Console", "Environment :: MacOS X", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Internet", ] requires-python = ">=3.10" [tool.hatch.metadata.hooks.uv-dynamic-versioning] dependencies = [ "rich>=13.9.4", "logfire-api>=3.14.1", "pydantic>=2.10", "pydantic-ai-slim=={{ version }}", "anyio>=0", "pyyaml>=6.0.2", ] [project.optional-dependencies] logfire = ["logfire>=3.14.1"] [project.urls] Homepage = "https://ai.pydantic.dev/evals" Source = "https://github.com/pydantic/pydantic-ai" Documentation = "https://ai.pydantic.dev/evals" Changelog = "https://github.com/pydantic/pydantic-ai/releases" [tool.hatch.build.targets.wheel] packages = ["pydantic_evals"] [tool.uv.sources] pydantic-ai-slim = { workspace = true }

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