[build-system]
requires = ["setuptools>=61.0", "setuptools-scm>=8.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "sglang"
dynamic = ["version"]
description = "SGLang is a fast serving framework for large language models and vision language models."
readme = "README.md"
requires-python = ">=3.10"
license = { file = "LICENSE" }
classifiers = [
  "Programming Language :: Python :: 3",
  "License :: OSI Approved :: Apache Software License",
]
dependencies = ["aiohttp", "requests", "tqdm", "numpy", "IPython", "setproctitle"]

[project.optional-dependencies]
runtime_common = [
  "IPython",
  "aiohttp",
  "anthropic>=0.20.0",
  "blobfile==3.0.0",
  "av",
  "build",
  "compressed-tensors",
  "decord2",
  "datasets",
  "einops",
  "fastapi",
  "gguf",
  "hf_transfer",
  "huggingface_hub",
  "interegular",
  "llguidance>=0.7.11,<0.8.0",
  "modelscope",
  "msgspec",
  "ninja",
  "numpy",
  "openai-harmony==0.0.4",
  "openai==2.6.1",
  "orjson",
  "outlines==0.1.11",
  "packaging",
  "partial_json_parser",
  "pillow",
  "prometheus-client>=0.20.0",
  "psutil",
  "py-spy",
  "pybase64",
  "pydantic",
  "python-multipart",
  "pyzmq>=25.1.2",
  "requests",
  "scipy",
  "sentencepiece",
  "setproctitle",
  "soundfile==0.13.1",
  "tiktoken",
  "timm==1.0.16",
  "torchao==0.9.0",
  "tqdm",
  "transformers==4.57.1",
  "uvicorn",
  "uvloop",
  "xgrammar==0.1.27",
  "smg-grpc-proto>=0.4.1",
  "grpcio>=1.78.0",
  "grpcio-reflection>=1.78.0",
]

tracing = [
  "opentelemetry-sdk",
  "opentelemetry-api",
  "opentelemetry-exporter-otlp",
  "opentelemetry-exporter-otlp-proto-grpc",
]

# HIP (Heterogeneous-computing Interface for Portability) for AMD
# => base docker rocm/vllm-dev:20250114, not from public vllm whl
srt_hip = [
  "sglang[runtime_common]",
  "torch",
  "petit_kernel==0.0.2",
  "wave-lang==3.8.2",
]

diffusion_hip = [
  "PyYAML==6.0.1",
  "cloudpickle",
  "diffusers==0.36.0",
  "imageio==2.36.0",
  "imageio-ffmpeg==0.5.1",
  "moviepy>=2.0.0",
  "opencv-python-headless==4.10.0.84",
  "remote-pdb",
  "st_attn==0.0.7",
  "vsa==0.0.4",
  "runai_model_streamer>=0.15.5",
  "cache-dit==1.1.8",
  "addict",
  "scikit-image==0.25.2",
  "trimesh>=4.0.0",
  "xatlas",
]

# For Intel Gaudi(device : hpu) follow the installation guide
# https://docs.vllm.ai/en/latest/getting_started/gaudi-installation.html
srt_hpu = ["sglang[runtime_common]"]

# https://docs.sglang.io/platforms/mthreads_gpu.md
srt_musa = [
    "sglang[runtime_common]",
    "torch",
    "torch_musa",
    "torchada>=0.1.25",
    "mthreads-ml-py",
    "numpy<2.0",
]

diffusion_musa = [
  "PyYAML==6.0.1",
  "cloudpickle",
  "diffusers==0.36.0",
  "imageio==2.36.0",
  "imageio-ffmpeg==0.5.1",
  "moviepy>=2.0.0",
  "opencv-python-headless==4.10.0.84",
  "remote-pdb",
  "st_attn==0.0.7",
  "vsa==0.0.4",
  "runai_model_streamer>=0.15.5",
  "cache-dit==1.1.8",
  "addict",
  "scikit-image==0.25.2",
  "trimesh>=4.0.0",
  "xatlas",
]

test = [
  "accelerate",
  "expecttest",
  "gguf",
  "jsonlines",
  "matplotlib",
  "pandas",
  "peft",
  "pytest",
  "sentence_transformers",
  "tabulate",
]

all_hip = ["sglang[srt_hip]", "sglang[diffusion_hip]"]
all_hpu = ["sglang[srt_hpu]"]
all_musa = ["sglang[srt_musa]", "sglang[diffusion_musa]"]

dev_hip = ["sglang[all_hip]", "sglang[test]"]
dev_hpu = ["sglang[all_hpu]", "sglang[test]"]
dev_musa = ["sglang[all_musa]", "sglang[test]"]

[project.urls]
"Homepage" = "https://github.com/sgl-project/sglang"
"Bug Tracker" = "https://github.com/sgl-project/sglang/issues"

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

[tool.setuptools.package-data]
"sglang" = [
  "srt/**/*",
  "jit_kernel/**/*"
]

[tool.setuptools.packages.find]
exclude = [
  "assets*",
  "benchmark*",
  "docs*",
  "dist*",
  "playground*",
  "scripts*",
  "tests*",
]

[tool.wheel]
exclude = [
  "assets*",
  "benchmark*",
  "docs*",
  "dist*",
  "playground*",
  "scripts*",
  "tests*",
]

[tool.setuptools_scm]
root = ".."
version_file = "sglang/_version.py"
git_describe_command = ["git", "describe", "--tags", "--long", "--match", "v*"]