llama-stack-mirror/pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "llama_stack"
version = "0.1.4"
authors = [{ name = "Meta Llama", email = "llama-oss@meta.com" }]
description = "Llama Stack"
readme = "README.md"
requires-python = ">=3.10"
license = { "text" = "MIT" }
classifiers = [
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Operating System :: OS Independent",
    "Intended Audience :: Developers",
    "Intended Audience :: Information Technology",
    "Intended Audience :: Science/Research",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Scientific/Engineering :: Information Analysis",
]
dependencies = [
    "blobfile",
    "fire",
    "httpx",
    "huggingface-hub",
    "jsonschema",
    "llama-stack-client>=0.1.4",
    "prompt-toolkit",
    "python-dotenv",
    "pydantic>=2",
    "requests",
    "rich",
    "setuptools",
    "termcolor",
]

[project.optional-dependencies]
dev = [
    "pytest",
    "pytest-asyncio",
    "pytest-html",
    "nbval",            # For notebook testing
    "black",
    "ruff",
    "types-requests",
    "types-setuptools",
    "pre-commit",
    "uvicorn",
    "fastapi",
    "ruamel.yaml",      # needed for openapi generator
]
test = [
    "openai",
    "aiosqlite",
    "ollama",
    "torch>=2.6.0",
    "fairscale>=0.4.13",
    "torchvision>=0.21.0",
    "lm-format-enforcer>=0.10.9",
    "groq",
    "opentelemetry-sdk",
    "opentelemetry-exporter-otlp-proto-http",
]
docs = [
    "sphinx-autobuild",
    "myst-parser",
    "sphinx-rtd-theme",
    "sphinx-copybutton",
    "sphinx-tabs",
    "sphinx-design",
    "sphinxcontrib.redoc",
    "sphinxcontrib.video",
    "sphinxcontrib.mermaid",
    "tomli",
]
codegen = [
    "rich",
    "pydantic",
    "jinja2",
]

[project.urls]
Homepage = "https://github.com/meta-llama/llama-stack"

[project.scripts]
llama = "llama_stack.cli.llama:main"
install-wheel-from-presigned = "llama_stack.cli.scripts.run:install_wheel_from_presigned"

[tool.setuptools]
packages = { find = {} }
license-files = []

[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.sources]
torch = [{ index = "pytorch-cpu" }]
torchvision = [{ index = "pytorch-cpu" }]

[tool.ruff]
line-length = 120
exclude = [
    "./.git",
    "./docs/*",
    "./build",
    "./scripts",
    "./venv",
    "*.pyi",
    ".pre-commit-config.yaml",
    "*.md",
    ".flake8",
]

[tool.ruff.lint]
select = [
    "B",  # flake8-bugbear
    "B9", # flake8-bugbear subset
    "C",  # comprehensions
    "E",  # pycodestyle
    "F",  # Pyflakes
    "N",  # Naming
    "W",  # Warnings
    "I",  # isort
]
ignore = [
    # The following ignores are desired by the project maintainers.
    "E402", # Module level import not at top of file
    "E501", # Line too long
    "F405", # Maybe undefined or defined from star import
    "C408", # Ignored because we like the dict keyword argument syntax
    "N812", # Ignored because import torch.nn.functional as F is PyTorch convention

    # These are the additional ones we started ignoring after moving to ruff. We should look into each one of them later.
    "C901", # Complexity of the function is too high
    # these ignores are from flake8-bugbear; please fix!
    "B008",
]

[tool.mypy]
mypy_path = ["llama_stack"]
packages = ["llama_stack"]
disable_error_code = []
warn_return_any = true
# # honor excludes by not following there through imports
follow_imports = "silent"
exclude = [
    # As we fix more and more of these, we should remove them from the list
    "llama_stack/providers",
    "llama_stack/distribution",
    "llama_stack/apis",
    "llama_stack/cli",
    "llama_stack/models",
    "llama_stack/strong_typing",
    "llama_stack/templates",
]

[[tool.mypy.overrides]]
# packages that lack typing annotations, do not have stubs, or are unavailable.
module = ["llama_models.*", "yaml", "fire"]
ignore_missing_imports = true