FilesExpand file tree

main

/

pyproject_other.toml

Copy path

Blame

More file actions

Blame

More file actions

Latest commit

 

History

History

History

executable file

·

312 lines (284 loc) · 8.3 KB

main

/

pyproject_other.toml

Copy path

Top

File metadata and controls

• Code
• Blame

executable file

·

312 lines (284 loc) · 8.3 KB

Raw

Copy raw file

Download raw file

Open symbols panel

Edit and raw actions

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

63

64

65

66

67

68

69

70

71

72

73

74

75

76

77

78

79

80

81

82

83

84

85

86

87

88

89

90

91

92

93

94

95

96

97

98

99

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

[build-system]

requires = ["setuptools>=61.0", "setuptools-rust>=1.10", "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",

]

# Please keep dependency lists in this file sorted alphabetically by package name.

dependencies = ["aiohttp", "IPython", "numpy", "requests", "setproctitle", "tqdm"]

[project.optional-dependencies]

# runtime_base: torch-free subset of runtime_common.

# Used by srt_empty for device-agnostic install on non-NVIDIA platforms.

# NOTE: Do NOT add packages that depend on torch/triton here — they belong in runtime_common.

runtime_base = [

"aiohttp",

"anthropic>=0.20.0",

"apache-tvm-ffi",

"av",

"blobfile==3.0.0",

"build",

"datasets",

"deepseek-recipe==0.2.0 ; (sys_platform == 'linux' and (platform_machine == 'x86_64' or platform_machine == 'aarch64')) or sys_platform == 'darwin'",

"easydict",

"einops",

"fastapi",

"gguf",

"interegular",

"IPython",

"llguidance>=1.7.6,<2.0.0",

"mistral_common>=1.11.5",

"modelscope",

"msgspec",

"ninja",

"numpy",

"openai==2.6.1",

"openai-harmony==0.0.4",

"orjson",

"packaging",

"partial_json_parser",

"pillow",

"prometheus-client>=0.20.0",

"psutil",

"py-spy",

"pybase64",

"pydantic",

"python-multipart",

"pyzmq>=25.1.2",

"regex",

"requests",

"scipy",

"sentencepiece==0.2.1", # 0.2.2 rejects null pieces in InternVL tokenizers.

"setproctitle",

"smg-grpc-servicer>=0.9.0",

"soundfile==0.13.1",

"tiktoken",

"tqdm",

"transformers==5.19.0",

"uvicorn",

"uvloop",

"xxhash",

]

# runtime_common: backward-compatible — same install result as before the split.

runtime_common = [

"sglang[runtime_base]",

"compressed-tensors",

"outlines==0.1.11",

"timm==1.0.25",

"xgrammar==0.2.7",

]

# srt_empty: device-agnostic install — pure Python packages only, no torch dependency chain.

# Enables OOT plugins (e.g. sglang-plugin-FL) to install sglang without conflicting with

# vendor-specific PyTorch builds (torch_npu, torch_musa, etc.).

# Usage: cp pyproject_other.toml pyproject.toml && pip install -e ".[srt_empty]"

srt_empty = ["sglang[runtime_base]"]

diffusion_common = [

"accelerate",

"addict",

"cloudpickle",

"diffusers==0.37.0",

"imageio==2.36.0",

"imageio-ffmpeg==0.5.1",

"moviepy>=2.0.0",

"msgpack",

"opencv-python-headless==4.10.0.84",

"PyYAML==6.0.1",

"remote-pdb",

"scikit-image==0.25.2",

"trimesh>=4.0.0",

"xatlas",

]

tracing = [

"opentelemetry-api",

"opentelemetry-exporter-otlp",

"opentelemetry-exporter-otlp-proto-grpc",

"opentelemetry-sdk",

]

# Monokernels for gfx950 (--enable-amd-monokernel); the ROCm image checks out this pin too.

monokernels_hip = [

"sgl-amd-mono @ git+https://github.com/sgl-project/sgl-amd-mono.git@90c23551a323d5badd5b86c1e92151e319072d87",

]

# HIP (Heterogeneous-computing Interface for Portability) for AMD

# => base docker rocm/vllm-dev:20250114, not from public vllm whl

#

# srt_hip_rocm724 below is the torch 2.11 variant of this list and differs only

# in its compressed-tensors and torch pins. A dependency added here has to be

# added there too; nothing enforces that.

srt_hip = [

"sglang[monokernels_hip]",

"sglang[runtime_common]",

"torch",

"petit_kernel==0.0.2",

"wave-lang==3.8.2",

]

# Kept in step with srt_hip above by hand; only the two pins below differ.

srt_hip_rocm724 = [

# ROCm 7.2.4 uses torch 2.11. compressed-tensors 0.15.0 requires

# torch<2.11, while 0.16.0 supports torch>=2.10.

"compressed-tensors==0.16.0",

"petit_kernel==0.0.2",

"sglang[monokernels_hip]",

"sglang[runtime_common]",

"torch==2.11.0",

"wave-lang==3.8.2",

]

# Same as srt_hip_rocm724 above except for the torch pin; keep them in step by

# hand. ROCm 10.1 publishes no torch 2.11 wheel, so it has to be 2.12.

srt_hip_rocm101 = [

"compressed-tensors==0.16.0",

"petit_kernel==0.0.2",

"sglang[runtime_common]",

"torch==2.12.0",

"wave-lang==3.8.2",

]

diffusion_hip = [

"cache-dit==1.3.0",

"peft>=0.18.0,<0.19.0", # Pin to <0.19.0 due to torchao incompatibility

"runai_model_streamer>=0.15.5",

"sglang[diffusion_common]",

"st_attn==0.0.7",

"vsa==0.0.4",

]

# 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/hardware-platforms/sail

srt_sail = [

"sailify==1.0.0",

"sglang[runtime_common]",

"torch-for-sail",

"triton-for-sail",

]

# https://docs.sglang.io/platforms/mthreads_gpu.md

srt_musa = [

"apache-tvm-ffi==0.1.11.post1+musa.1",

"deep_ep==1.1.0+musa5.2.0torch2.11.0.post1",

"deep-gemm==0.2.6+musa",

"flash_attn_3==0.2.6+musa",

"flash_mla==0.2.6+musa",

"flashinfer-python==0.2.6+musa",

"mate==0.2.6",

"mate-mubin==0.2.6",

"mthreads-ml-py",

"numpy<2.0",

"sageattention==0.2.6+musa",

"sglang[runtime_common]",

"tilelang_musa==0.1.12+musa.2",

"torch==2.11.0.post1+musa5.2.0",

"torch-c-dlpack-ext==0.1.5",

"torch_musa==2.11.0.post1+musa5.2.0",

"torchada>=0.1.90",

"torchaudio==2.11.0+musa5.2.0",

"torchvision==0.26.0.post1+musa5.2.0",

"triton==3.2.0",

]

diffusion_musa = [

"cache-dit==1.1.8",

"runai_model_streamer>=0.15.5",

"sglang[diffusion_common]",

"st_attn==0.0.7",

"vsa==0.0.4",

]

# https://docs.sglang.io/hardware-platforms/apple_metal

srt_mps = [

"mlx>=0.32.4",

"mlx-lm",

"sglang[runtime_common]",

"torch==2.13.0",

"torchaudio==2.11.0",

"torchcodec==0.15.0",

"torchvision==0.28.0",

]

diffusion_mps = [

"addict==2.4.0",

"av==16.1.0",

"cache-dit==1.2.3",

"cloudpickle==3.1.2",

"remote-pdb==2.1.0",

"scikit-image==0.25.2",

"sglang[diffusion_common]",

"trimesh>=4.0.0",

"xatlas",

]

test = [

"accelerate",

"pymupdf",

"expecttest",

"gguf",

"jsonlines",

"matplotlib",

"pandas",

"peft>=0.18.0,<0.19.0", # Pin to <0.19.0 due to torchao incompatibility

"pytest",

"sentence_transformers",

"sgl-eval==0.1.2",

"tabulate",

]

all_hip = ["sglang[diffusion_hip]", "sglang[srt_hip]", "sglang[tracing]"]

all_hip_rocm724 = ["sglang[diffusion_hip]", "sglang[srt_hip_rocm724]", "sglang[tracing]"]

all_hip_rocm101 = ["sglang[diffusion_hip]", "sglang[srt_hip_rocm101]", "sglang[tracing]"]

all_hpu = ["sglang[srt_hpu]"]

all_sail = ["sglang[srt_sail]"]

all_musa = ["sglang[diffusion_musa]", "sglang[srt_musa]"]

all_mps = ["sglang[diffusion_mps]", "sglang[srt_mps]"]

dev_hip = ["sglang[all_hip]", "sglang[test]"]

dev_hip_rocm724 = ["sglang[all_hip_rocm724]", "sglang[test]"]

dev_hip_rocm101 = ["sglang[all_hip_rocm101]", "sglang[test]"]

dev_hpu = ["sglang[all_hpu]", "sglang[test]"]

dev_sail = ["sglang[all_sail]", "sglang[test]"]

dev_musa = ["sglang[all_musa]", "sglang[test]"]

dev_mps = ["sglang[all_mps]", "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"

# Rust extension modules are auto-discovered by setup.py from the cargo

# workspace in ../rust; this allowlist restricts which of them this platform

# builds (case-insensitive substrings of the target module). grpc is

# intentionally omitted here (it needs proto/tonic); ROCm only builds mm.

# NOTE: setup.py reads this with a line regex, not a TOML parser — keep the

# assignment on a single line.

[tool.sglang]

rust-extensions = ["multimodal"]

[tool.setuptools.package-data]

"sglang" = [

"srt/**/*",

"kernels/**/*"

]

[tool.setuptools.exclude-package-data]

# .claude/skills is a directory symlink; setuptools build_py cannot copy it.

"sglang.multimodal_gen" = [".claude/*"]

[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 = ["python3", "scripts/release/get_version_tag.py"]

# Allow editable installs even when .git metadata is not available.

fallback_version = "0.0.0.dev0"