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[build-system]

# Should be mirrored in requirements/build/cuda.txt

requires = [

"cmake>=3.26.1",

"ninja",

"packaging>=24.2",

"setuptools>=77.0.3,<81.0.0",

"setuptools-scm>=8.0",

"setuptools-rust>=1.9.0",

"torch == 2.14.0",

"wheel",

"jinja2",

]

build-backend = "setuptools.build_meta"

[project]

name = "vllm"

authors = [{name = "vLLM Team"}]

license = "Apache-2.0"

license-files = ["LICENSE"]

readme = "README.md"

description = "A high-throughput and memory-efficient inference and serving engine for LLMs"

classifiers = [

"Programming Language :: Python :: 3.11",

"Programming Language :: Python :: 3.12",

"Programming Language :: Python :: 3.13",

"Programming Language :: Python :: 3.14",

"Intended Audience :: Developers",

"Intended Audience :: Information Technology",

"Intended Audience :: Science/Research",

"Topic :: Scientific/Engineering :: Artificial Intelligence",

"Topic :: Scientific/Engineering :: Information Analysis",

]

requires-python = ">=3.11,<3.15"

dynamic = [ "version", "dependencies", "optional-dependencies"]

[project.urls]

Homepage="https://github.com/vllm-project/vllm"

Documentation="https://docs.vllm.ai/en/latest/"

Slack="https://slack.vllm.ai/"

[project.scripts]

vllm = "vllm.entrypoints.cli.main:main"

[project.entry-points."vllm.general_plugins"]

lora_filesystem_resolver = "vllm.plugins.lora_resolvers.filesystem_resolver:register_filesystem_resolver"

lora_hf_hub_resolver = "vllm.plugins.lora_resolvers.hf_hub_resolver:register_hf_hub_resolver"

[tool.setuptools_scm]

# no extra settings needed, presence enables setuptools-scm

[tool.setuptools.packages.find]

where = ["."]

include = ["vllm*"]

[tool.ruff.lint.per-file-ignores]

# `vllm` is the only installed package; everything else is standalone scripts

"!vllm/**" = ["INP"]

"vllm/third_party/**" = ["ALL"]

"vllm/version.py" = ["F401"]

"vllm/_version.py" = ["ALL"]

# test args are mostly pytest fixtures, which don't benefit from descriptions

"tests/**" = ["D417"]

[tool.ruff.lint]

select = [

# pydocstyle

"D",

# pycodestyle

"E",

# Pyflakes

"F",

# pyupgrade

"UP",

# flake8-bugbear

"B",

# flake8-implicit-str-concat

"ISC",

# flake8-simplify

"SIM",

# isort

"I",

# flake8-logging-format

"G",

# flake8-no-pep420

"INP",

]

ignore = [

# don't enforce that everything has a docstring

"D100", "D101", "D102", "D103", "D104", "D105", "D106", "D107",

# unwanted pydocstyle rules

"D205", "D209", "D301", "D400", "D401", "D404", "D415",

# incompatible pydocstyle pairs; pin the half `ruff` already picks

"D203", "D213",

# star imports

"F405", "F403",

# lambda expression assignment

"E731",

# zip without `strict=`

"B905",

# Loop control variable not used within loop body

"B007",

# f-string format

"UP032",

# `StrEnum` changes `str()` and `format()` output of members

"UP042",

]

[tool.ruff.lint.pydocstyle]

ignore-var-parameters = true

[tool.ruff.format]

docstring-code-format = true

[tool.mypy]

plugins = ['pydantic.mypy']

ignore_missing_imports = true

check_untyped_defs = true

follow_imports = "silent"

[[tool.mypy.overrides]]

module = "tests.*"

disable_error_code = ["arg-type", "assignment"]

enable_error_code = ["method-assign"]

[tool.pytest.ini_options]

markers = [

"slow_test",

"skip_global_cleanup",

"core_model: enable this model test in each PR instead of only nightly",

"hybrid_model: models that contain mamba layers (including pure SSM and hybrid architectures)",

"cpu_model: enable this model test in CPU tests",

"cpu_test: mark test as CPU-only test",

"split: run this test as part of a split",

"distributed: run this test only in distributed GPU tests",

"optional: optional tests that are automatically skipped, include --optional to run them",

]

[tool.coverage.run]

# Track the installed vllm package (this is what actually gets imported during tests)

# Use wildcard pattern to match the installed location

source = ["vllm", "*/dist-packages/vllm", "*/site-packages/vllm"]

omit = [

"*/tests/*",

"*/test_*",

"*/__pycache__/*",

"*/build/*",

"*/dist/*",

"*/vllm.egg-info/*",

"*/third_party/*",

"*/examples/*",

"*/benchmarks/*",

"*/docs/*",

]

[tool.coverage.paths]

# Map all possible vllm locations to a canonical "vllm" path

# This ensures coverage.combine properly merges data from different test runs

source = [

"vllm",

"/vllm-workspace/src/vllm",

"/vllm-workspace/vllm",

"*/site-packages/vllm",

"*/dist-packages/vllm",

]

[tool.coverage.report]

exclude_lines = [

'pragma: no cover',

'def __repr__',

'if self.debug:',

'if settings.DEBUG',

'raise AssertionError',

'raise NotImplementedError',

'if 0:',

'if __name__ == .__main__.:',

'class .*\bProtocol\):',

'@(abc\.)?abstractmethod',

]

[tool.coverage.html]

directory = "htmlcov"

[tool.coverage.xml]

output = "coverage.xml"

[tool.ty.src]

respect-ignore-files = true

[tool.ty.environment]

python = "./.venv"

[tool.typos.files]

# these files may be written in non english words

extend-exclude = ["tests/models/fixtures/*", "tests/prompts/*", "tests/tokenizers_/*",

"tests/lora/data/*", "build/*",

"examples/pooling/token_embed/*", "tests/models/language/pooling/*",

"vllm/third_party/*", "vllm/entrypoints/serve/instrumentator/static/*",

"tests/entrypoints/speech_to_text/transcription/test_transcription_validation.py",

"docs/governance/process.md", "docs/community/reviewers.md", "docs/assets/contributing/vllm_bench_serve_timeline.html",

"tests/v1/engine/test_fast_incdec_prefix_err.py", ".git/*", "csrc/cpu/sgl-kernels/*",

"rust/src/chat/src/renderer/deepseek_v32/fixtures/*", "rust/src/parser/**",

"rust/src/text/src/output/decoded.rs",

"rust/src/tokenizer/src/incremental.rs",

"recipes/models/*"]

ignore-hidden = false

[tool.typos.default]

extend-ignore-identifiers-re = [".*[Uu][Ee][0-9][Mm][0-9].*"]

[tool.typos.default.extend-identifiers]

a63ede7 = "a63ede7"

bbc5b7ede = "bbc5b7ede"

NOOPs = "NOOPs"

nin_shortcut = "nin_shortcut"

cudaDevAttrMaxSharedMemoryPerBlockOptin = "cudaDevAttrMaxSharedMemoryPerBlockOptin"

sharedMemPerBlockOptin = "sharedMemPerBlockOptin"

depthwise_seperable_out_channel = "depthwise_seperable_out_channel"

pard_token = "pard_token"

ptd_token_id = "ptd_token_id"

ser_de = "ser_de"

shared_memory_per_block_optin = "shared_memory_per_block_optin"

FoPE = "FoPE"

k_ot = "k_ot"

view_seperator = "view_seperator"

inverse_std_variences = "inverse_std_variences"

[tool.typos.default.extend-words]

MoNE = "MoNE"

mone = "mone"

Hel = "Hel"

wether = "wether"

iy = "iy"

indx = "indx"

# intel cpu features

tme = "tme"

dout = "dout"

Pn = "Pn"

arange = "arange"

thw = "thw"

# temporal position ids (parallels hpos/wpos in vision RoPE)

tpos = "tpos"

subtile = "subtile"

HSA = "HSA"

setp = "setp"

CPY = "CPY"

thr = "thr"

Thr = "Thr"

PARD = "PARD"

pard = "pard"

AKS = "AKS"

ba = "ba"

fo = "fo"

nd = "nd"

eles = "eles"

datas = "datas"

ser = "ser"

ure = "ure"

VALU = "VALU"

# Walsh-Hadamard Transform

wht = "wht"

WHT = "WHT"

# Huawei Compute Architecture for Neural Networks

CANN = "CANN"

[tool.uv]

no-build-isolation-package = ["torch"]

# vLLM depends on oss-harmony, a fork that ships the same `openai_harmony`

# module without downloading tiktoken vocabularies at runtime. Installing

# openai-harmony alongside it silently overwrites those files, so keep it out

# of every resolution; gpt-oss pulls it in transitively.

exclude-dependencies = ["openai-harmony"]