pyproject.toml

# SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

[project]
name = "ai-dynamo"
version = "0.2.0"
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 = [
    "pytest>=8.3.4",
    "bentoml==1.4.8",
    "types-psutil==7.0.0.20250218",
    "kubernetes==32.0.1",
    "ai-dynamo-runtime==0.2.0",
    "fastapi==0.115.6",
    "distro",
    "typer",
    "circus>=0.17.0",
    "sglang[all]==0.4.6.post2"
]

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]
all = [
    "ai-dynamo-vllm~=0.8.4",
    "nixl",
]

vllm = [
    "ai-dynamo-vllm~=0.8.4"
]

[project.scripts]
dynamo = "dynamo.sdk.cli.cli:cli"
dynamo-run = "dynamo.sdk.cli.run_executable:dynamo_run"
llmctl = "dynamo.sdk.cli.run_executable:llmctl"
http = "dynamo.sdk.cli.run_executable:http"
metrics = "dynamo.sdk.cli.run_executable:metrics"
mock_worker = "dynamo.sdk.cli.run_executable:mock_worker"

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

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

# This section is for including the binaries in the wheel package
# but doesn't make them executable scripts in the venv bin directory

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

[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"]

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

# NOTE
# We ignore model.py explcitly here to avoid mypy errors with duplicate modules
# pytest overrides the default mypy exclude configuration and so we exclude here as well
# Ignore mypy check for api-store component from Dynamo Deploy. Mypy analysis will fail since this package (and its dependencies) are not installed.
addopts = [
    "-ra",
    "--showlocals",
    "--strict-markers",
    "--strict-config",
    "--mypy",
    "--ignore-glob=*model.py",
    "--ignore-glob=*_inc.py",
    "--ignore-glob=deploy/cloud/api-store/*",
    # FIXME: Get relative/generic blob paths to work here
]
xfail_strict = true
log_cli_level = "INFO"
filterwarnings = [
    "error",
    "ignore:.*cuda*:DeprecationWarning", # Need this to avoid deprecation warnings from CUDA in tensorrt_llm.
    "ignore:.*pkg_resources.*:DeprecationWarning",
    "ignore:.*multipart.*:PendingDeprecationWarning"
]


# NOTE: Can also manually mark tests with @pytest.mark.asyncio
asyncio_mode = "auto"
markers = [
    "pre_merge: marks tests to run before merging",
    "nightly: marks tests to run nightly",
    "weekly: marks tests to run weekly",
    "gpu: marks tests to run on GPU"
]

# 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"]

[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.*", "bentoml.*", "fs.*", "_bentoml_sdk.*"]
follow_imports = "skip"
ignore_missing_imports = true