model-evaluation-core/pyproject.toml at main · Dazzla/model-evaluation-core · GitHub

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[project]
name = "model-evaluation"
version = "0.1.0"
description = "Local LLM evaluation harness comparing self-hosted models to commercial APIs."
authors = [
    { name = "Model Evaluation Team" }
]
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
    "accelerate>=0.27.2",
    "datasets>=2.17.0",
    "evaluate>=0.4.1",
    "httpx>=0.27.0",
    "numpy>=1.26.0",
    "pandas>=2.2.0",
    "pydantic>=2.6.0",
    "pyyaml>=6.0.1",
    "rich>=13.7.0",
    "scikit-learn>=1.4.0",
    "sentencepiece>=0.1.99",
    "tiktoken>=0.6.0",
    "transformers[torch]>=4.38.1",
    "typer>=0.12.0",
]

[project.optional-dependencies]
openai = ["openai>=1.12.0"]
anthropic = ["anthropic>=0.23.1"]
api = ["fastapi>=0.111.0", "uvicorn>=0.30.0"]

[project.scripts]
llm-eval = "llm_eval.cli:app"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src/llm_eval"]

[tool.hatch.build.targets.sdist]
include = ["src/llm_eval", "README.md", "pyproject.toml", "configs", "data"]