UltraRAG/pyproject.toml at main · OpenBMB/UltraRAG · GitHub

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[build-system]
requires = ["setuptools>=84.0.0"]
build-backend = "setuptools.build_meta"

[project]
name = "ultrarag"
version = "0.3.0.2"
description = "UltraRAG"
readme = "README.md"
requires-python = ">=3.11, <3.13"
dependencies = [
    # 3.4.5 requires Starlette >=1 through its client extra; MinerU/Gradio need <1.
    "fastmcp>=3.3.1,<3.4.5",
    "mcp",
    "rich",
    "pandas",
    "Jinja2",
    "openai",
    "httpx[socks]",
    "python-dotenv",
    "PyYAML",
    "tqdm",
    "requests",
    "orjson",
    "tabulate",
    "aiohttp",
    "pillow",
    "flask",
    # faiss-gpu-cu12 1.14 requires NumPy 2; <2.4 also satisfies vLLM/Numba.
    "numpy>=2,<2.4",
    "fakeredis",
    "pymilvus",
    "pypinyin",
    "jieba",
    "charset-normalizer",
    "python-docx",
    "pymupdf",
    "chonkie",
    "tiktoken",
]

[project.optional-dependencies]
retriever = [
    "infinity-emb",
    "sentence-transformers",
    "openai",
    "bm25s",
    "faiss-gpu-cu12; sys_platform != 'darwin'",
    "faiss-cpu; sys_platform == 'darwin'",
    "exa_py",
    "tavily-python",
    "pymilvus",
    "qdrant-client",
    "numba",
    "torch",
    "fastapi",
    "uvicorn",
    "pydantic",
]

generation = [
    # Newer cu129 wheels currently pull CUDA 13 tooling or conflict with MinerU.
    "vllm==0.22.1",
    "openai",
    "transformers",
    "torch",
    # 0.2.4 has no CPython 3.12 Linux x86_64 wheel.
    "xgrammar<0.2.4",
]

evaluation = [
    "rouge-score",
    "pytrec-eval-terrier",
]

corpus = [
    "mineru[core]>=3,<4",
]

# LiteLLM generation backend: a pure API client, so it is kept separate from the
# heavy `generation` extra (vllm/torch) — CPU/proxy users can install just this.
litellm = [
    "litellm>=1.60,<2.0",
]

all = [
    "ultrarag[retriever]",
    "ultrarag[generation]",
    "ultrarag[litellm]",
    "ultrarag[corpus]",
    "ultrarag[evaluation]",
]

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

[project.scripts]
ultrarag = "ultrarag.client:main"

[dependency-groups]
dev = [
    "ruff",
    "ipython",
    "jupyter",
    "pytest",
]

[tool.uv]
package = true

[tool.uv.sources]
vllm = { index = "vllm-cu129" }
torch = [
    { index = "pytorch-cu129", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
torchvision = [
    { index = "pytorch-cu129", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
torchaudio = [
    { index = "pytorch-cu129", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]

[[tool.uv.index]]
name = "pytorch-cu129"
url = "https://download.pytorch.org/whl/cu129"
explicit = true

[[tool.uv.index]]
name = "vllm-cu129"
url = "https://wheels.vllm.ai/0.22.1/cu129"
explicit = true