pyproject.toml

# SPDX-FileCopyrightText: Copyright (c) 2024-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

[project]
name = "ai-dynamo"
version = "1.0.0"
description = "Distributed Inference Framework"
readme = "README.md"
authors = [
    { name = "NVIDIA Inc.", email = "sw-dl-dynamo@nvidia.com" },
]
license = { text = "Apache-2.0" }
license-files = ["LICENSE"]
requires-python = ">=3.10"
dependencies = [
    "ai-dynamo-runtime==1.0.0",
    "transformers>=4.56.0",
    "kubernetes>=32.0.1,<33.0.0",
    "prometheus_client>=0.23.1,<1.0",
    "msgspec>=0.19.0",
    "pyzmq>=26.0.0",
    "msgpack==1.1.2",
]

classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Information Technology",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Operating System :: POSIX :: Linux",
]
keywords = ["llm", "genai", "inference", "nvidia", "distributed", "dynamo"]

[project.urls]
Repository = "https://github.com/ai-dynamo/dynamo.git"

[project.optional-dependencies]
trtllm =[
    "uvloop",
    "tensorrt-llm==1.3.0rc8",
]

vllm = [
    "uvloop",
    "nixl[cu12]<=0.10.1",
    "vllm[flashinfer,runai,otel]==0.17.1",
    # vllm-omni 0.16.0 is now on PyPI; install only future rc builds from source in container builds
    # (see container/deps/vllm/install_vllm.sh). pip install ai-dynamo[vllm] will
    # not include vllm-omni — install it separately from source if needed.
    "vllm-omni==0.16.0",
    "blake3>=1.0.0,<2.0.0",
]

sglang = [
    "uvloop",
    "sglang[diffusion]==0.5.9",
    "nixl[cu12]<=0.10.1",
    "cupy-cuda12x>=13.0.0",
]

[project.entry-points.pytest11]
vllm_tests = "dynamo.vllm.tests.conftest"
trtllm_tests = "dynamo.trtllm.tests.conftest"
sglang_tests = "dynamo.sglang.tests.conftest"

[dependency-groups]
docs = [
    # Core Sphinx
    "sphinx>=8.1",
    "nvidia-sphinx-theme>=0.0.8",
    # Sphinx extensions
    "ablog>=0.11",
    "sphinx-copybutton>=0.5",
    "sphinx-design>=0.6",
    "sphinx-prompt>=1.9",
    "sphinx-sitemap>=2.6",
    "sphinx-tabs>=3.4",
    "sphinx-book-theme>=1.1",
    "sphinxcontrib-mermaid>=1.0",
    "sphinxcontrib-bibtex>=2.6",
    "sphinx-reredirects>=1.0.0",
    # Markdown and notebook support
    "myst-parser>=4.0",
    "myst-nb>=1.2",
    "nbsphinx>=0.9",
]

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

[tool.hatch.build.hooks.custom]
path = "hatch_build.py"

[tool.hatch.build.targets.wheel]
packages = [
    "components/src/dynamo",
]

[tool.hatch.metadata]
allow-direct-references = true

[tool.codespell]
# note: pre-commit passes explicit lists of files here, which this skip file list doesn't override -
# this is only to allow you to run codespell interactively
# this also overrides the grpc_generated folder, since it is generated

# Ignore data files and auto-generated files
skip = "./.git,./.github,./lib/llm/tests/data,*.lock,*.sum"

# ignore allowed words used in code
ignore-words-list = "afterall,ser,ende"
# use the 'clear' dictionary for unambiguous spelling mistakes
builtin = "clear"
# use custom dictionary in addition to the built-in one
dictionary = "./codespell.txt"
# disable warnings about binary files and wrong encoding
quiet-level = 3

[tool.isort]
profile = "black"
use_parentheses = true
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
ensure_newline_before_comments = true
line_length = 88
balanced_wrapping = true
indent = "    "
skip = ["build"]
known_first_party = ["dynamo", "deploy"]
# isort may confuse what is 1st or 3rd library. e.g.
# when dynamo/vllm/omni/xx.py import vllm, local isort may treat this `vllm` as first
# party heuristically. This causes local sort differs from GitHub sort and pre-commit
# failure. To mitigate 1) one can install 3rd party lib so that isort is aware of it,
# 2) hardcode 3rd party lib here, 3) add "# isort: skip_file" to problematic files
# as the last resort.
known_third_party = ["vllm", "tensorrt_llm", "sglang", "aiconfigurator"]

[tool.pytest.ini_options]
minversion = "8.0"
tmp_path_retention_policy = "failed"

# NOTE
# We ignore model.py explicitly here to avoid mypy errors with duplicate modules
# pytest overrides the default mypy exclude configuration and so we exclude here as well
addopts = [
    "-ra",
    "--showlocals",
    "--strict-markers",
    "--strict-config",
    "--ignore-glob=*model.py",
    "--ignore-glob=*vllm_integration*",
    "--ignore-glob=*trtllm_integration*",
    "--ignore-glob=*kvbm/python/kvbm*",
    "--ignore-glob=*_inc.py",
    "--ignore-glob=*/llm/tensorrtllm*",
    "--ignore-glob=docs/*",
    "--ignore-glob=components/src/dynamo/sglang/request_handlers/*",
    "--ignore-glob=components/src/dynamo/sglang/multimodal_utils/*",
    "--ignore-glob=components/src/dynamo/vllm/multimodal_utils/*",
    "--ignore-glob=examples/backends/sglang/slurm_jobs/*",
    # FIXME: Get relative/generic blob paths to work here
]
xfail_strict = true
log_cli_level = "INFO"
filterwarnings = [
    "error",
    # CUDA deprecation warnings from tensorrt_llm
    "ignore:.*cuda*:DeprecationWarning",
    # protobuf C extension warning
    "ignore:.*PyType_Spec.*custom tp_new.*:DeprecationWarning",
    # unclosed socket/event loop warnings
    "ignore:.*unclosed.*socket.*:ResourceWarning",
    "ignore:.*unclosed event loop.*:ResourceWarning",
    # unraisable exception warnings
    "ignore:.*Exception ignored in.*:pytest.PytestUnraisableExceptionWarning",
    # pynvml deprecation, temporary until upstream migrates to nvidia-ml-py
    "ignore:The pynvml package is deprecated.*:FutureWarning",
    # Dynamo's own KV events deprecation warning
    "ignore:Automatic KV events configuration is deprecated.*:FutureWarning",
    # Python 3.12 SWIG extension warning from third-party tokenizer deps
    "ignore:builtin type (SwigPyPacked|SwigPyObject|swigvarlink) has no __module__ attribute:DeprecationWarning",
    # Pydantic V2 deprecation warnings from TRTLLM dependencies
    "ignore:Support for class-based `config`.*:pydantic.warnings.PydanticDeprecatedSince20",
    "ignore:Using extra keyword arguments on `Field`.*:pydantic.warnings.PydanticDeprecatedSince20",
    "ignore:The `schema` method is deprecated.*:pydantic.warnings.PydanticDeprecatedSince20",
    # Pydantic field shadowing in tensorrt_llm.serve.openai_protocol.ResponseFormat
    'ignore:Field name "schema" in "ResponseFormat" shadows an attribute in parent:UserWarning',
    # pytest-benchmark automatically disables when xdist is active
    "ignore:.*Benchmarks are automatically disabled.*:pytest_benchmark.logger.PytestBenchmarkWarning",
    # torchao invalid escape sequences in docstrings at import time
    "ignore:.*invalid escape sequence.*:SyntaxWarning",
    # torchao import path changes (https://github.com/pytorch/ao/issues/2752)
    "ignore:Importing.*torchao\\.dtypes.*:DeprecationWarning",
    # Triton CPU fallback warning on CPU-only runners
    "ignore:Triton is not supported on current platform.*:UserWarning",
    # torch.jit.script_method deprecation from torch.utils.mkldnn
    "ignore:.*torch\\.jit\\.script_method.*is deprecated.*:DeprecationWarning",
    # nvidia-modelopt warning about transformers version (transitive dep from TRT-LLM)
    "ignore:transformers version .* is incompatible with nvidia-modelopt.*:UserWarning",
    # SGLang quantization warnings on CPU-only runners
    "ignore:Only CUDA, HIP and XPU support AWQ currently.*:UserWarning",
    "ignore:Only CUDA support GGUF quantization currently.*:UserWarning",
]


# NOTE: Can also manually mark tests with @pytest.mark.asyncio
asyncio_mode = "auto"
markers = [
    "pre_merge: marks tests to run before merging",
    "post_merge: marks tests to run after merge",
    "parallel: marks tests that can run in parallel with pytest-xdist",
    "nightly: marks tests to run nightly",
    "weekly: marks tests to run weekly",
    "release: marks tests to run on release pipelines",
    "gpu_0: marks tests that don't require GPU",
    "gpu_1: marks tests to run on GPU",
    "gpu_2: marks tests to run on 2GPUs",
    "gpu_4: marks tests to run on 4GPUs",
    "gpu_8: marks tests to run on 8GPUs",
    "max_vram_gib(N): peak VRAM in GiB (with 10% safety). Filter with --max-vram-gib=N",
    "e2e: marks tests as end-to-end tests",
    "integration: marks tests as integration tests",
    "unit: marks tests as unit tests",
    "stress: marks tests as stress tests",
    "performance: marks tests as performance tests",
    "benchmark: marks tests as benchmark tests",
    "vllm: marks tests as requiring vllm",
    "trtllm: marks tests as requiring trtllm",
    "sglang: marks tests as requiring sglang",
    "lmcache: marks tests as requiring lmcache",
    "multimodal: marks tests as multimodal (image/video) tests",
    "slow: marks tests as known to be slow",
    "h100: marks tests to run on H100",
    "aiconfigurator: marks e2e tests that cover aiconfigurator functionality",
    "router: marks tests for router component",
    "planner: marks tests for planner component",
    "kvbm: marks tests for KV behavior and model determinism",
    "kvbm_concurrency: marks concurrency stress tests for KVBM (runs separately)",
    "model: model id used by a test or parameter",
    "custom_build: marks tests that require custom builds or special setup (e.g., MoE models)",
    "k8s: marks tests as requiring Kubernetes",
    "fault_tolerance: marks tests as fault tolerance tests",
    "deploy: marks tests as deployment tests",
    # Built-in markers
    "skip: skip this test",
    "skipif: skip if condition is true",
    "xfail: expected failure",
    "usefixtures: use fixtures",
    "parametrize: parameterized test",
    "filterwarnings: filter warnings",
    "asyncio: asyncio test marker",
    # Third-party plugin markers
    "timeout: test timeout in seconds (pytest-timeout plugin)",
]

# Linting/formatting
[tool.ruff]
# Same as Black.
line-length = 88
indent-width = 4

[tool.ruff.lint.extend-per-file-ignores]
"icp/tests/**/test_*.py" = ["F811", "F401"]
"*_inc.py" = ["F821"]

# This is IDE (e.g. Cursor's default Python language server)
# Configure it so that developers can use "go-to-definition", "hover types" and other
# features.
[tool.basedpyright]
extraPaths = ["components/src", "lib/bindings/python/src"]
# This is for external dependencies.
venvPath = "."
venv = ".venv"

[tool.mypy]

# --disable-error-code: WAR large set of errors due to mypy not being run
#   previously. We can slowly enable sets of errors to fix over time.
# disable_error_code = []

# --explicit-package-bases: WAR errors about duplicate module names used
#   throughout the llm examples. For example, the common module in
#   tensorrt_llm and vllm are both named common.
explicit_package_bases = true

# --ignore-missing-imports: WAR too many errors when developing outside
#   of container environment with PYTHONPATH set and packages installed.
#   NOTE: Can possibly move mypy from pre-commit to a github action run only in
#   a container with the expected environment and PYTHONPATH setup.
ignore_missing_imports = true

check_untyped_defs = true

[[tool.mypy.overrides]]
# Skip mypy analysis on internal dependencies of vllm
module = ["vllm.*"]
follow_imports = "skip"
ignore_missing_imports = true

[[tool.mypy.overrides]]
# WAR mypy 1.18.x crash with numpy 1.26.x stubs:
# "Should never get here in normal mode, got TypeAlias:numpy.float64 instead of TypeInfo"
module = ["numpy", "numpy.*"]
follow_imports = "skip"

[tool.sphinx]

# extra-content-head
extra_content_head = [
   '''
   <script src="https://assets.adobedtm.com/5d4962a43b79/c1061d2c5e7b/launch-191c2462b890.min.js" ></script>
   ''',
]

#extra-content-footer
extra_content_footer = [
   '''
   <script type="text/javascript">if (typeof _satellite !== "undefined") {_satellite.pageBottom();}</script>
   ''',
]