mvllm/pyproject.toml at main · xerrors/mvllm · GitHub

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[project]
name = "mvllm"
version = "0.1.0"
description = "A FastAPI-based load balancer for vLLM servers with OpenAI-compatible API"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.10"
authors = [
    { name = "Wenjie Zhang", email = "xerrors@163.com" }
]
keywords = ["vllm", "load-balancer", "fastapi", "llm", "inference", "gpu", "openai"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "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",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: System :: Distributed Computing",
    "Framework :: FastAPI",
]
dependencies = [
    "fastapi>=0.104.0",
    "uvicorn>=0.24.0",
    "httpx>=0.25.0",
    "toml>=0.10.2",
    "pydantic>=2.5.0",
    "openai",
    "loguru>=0.7.0",
    "requests>=2.32.5",
    "psutil>=7.1.0",
    "rich>=14.1.0",
    "aiohttp>=3.12.15",
    "typer>=0.19.2",
]

[project.urls]
Homepage = "https://github.com/xerrors/mvllm"
Repository = "https://github.com/xerrors/mvllm"
Issues = "https://github.com/xerrors/mvllm/issues"
Documentation = "https://github.com/xerrors/mvllm#readme"

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

[tool.hatchling.build.targets.wheel]
packages = ["src/mvllm"]

[project.scripts]
mvllm = "mvllm.cli:app"