forked from phoenix-oss/llama-stack-mirror
c8f740353b
# What does this PR do? Enable mypy pydantic plugin. Since the project heavily relies on pydantic models, it's probably wise to enable the plugin to avoid some potential spurious violation warnings the further we expand mypy coverage for the code base. It should be generally risk-free to enable the plugin for the repo. Some info on what plugin brings to the table: https://docs.pydantic.dev/latest/integrations/mypy/#mypy-plugin-capabilities Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
312 lines
12 KiB
TOML
312 lines
12 KiB
TOML
[build-system]
|
|
requires = ["setuptools>=61.0"]
|
|
build-backend = "setuptools.build_meta"
|
|
|
|
[project]
|
|
name = "llama_stack"
|
|
version = "0.1.8"
|
|
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",
|
|
"jinja2>=3.1.6",
|
|
"jsonschema",
|
|
"llama-stack-client>=0.1.8",
|
|
"prompt-toolkit",
|
|
"python-dotenv",
|
|
"pydantic>=2",
|
|
"requests",
|
|
"rich",
|
|
"setuptools",
|
|
"termcolor",
|
|
"tiktoken",
|
|
"pillow",
|
|
]
|
|
|
|
[project.optional-dependencies]
|
|
dev = [
|
|
"pytest",
|
|
"pytest-asyncio",
|
|
"pytest-cov",
|
|
"pytest-html",
|
|
"nbval", # For notebook testing
|
|
"black",
|
|
"ruff",
|
|
"types-requests",
|
|
"types-setuptools",
|
|
"pre-commit",
|
|
"uvicorn",
|
|
"fastapi",
|
|
"ruamel.yaml", # needed for openapi generator
|
|
]
|
|
# These are the dependencies required for running unit tests.
|
|
unit = ["sqlite-vec", "openai", "aiosqlite", "aiohttp", "pypdf", "chardet", "qdrant-client"]
|
|
# These are the core dependencies required for running integration tests. They are shared across all
|
|
# providers. If a provider requires additional dependencies, please add them to your environment
|
|
# separately. If you are using "uv" to execute your tests, you can use the "--with" flag to specify extra
|
|
# dependencies.
|
|
test = [
|
|
"openai",
|
|
"aiosqlite",
|
|
"aiohttp",
|
|
"torch>=2.6.0",
|
|
"torchvision>=0.21.0",
|
|
"opentelemetry-sdk",
|
|
"opentelemetry-exporter-otlp-proto-http",
|
|
"chardet",
|
|
"pypdf",
|
|
"mcp",
|
|
"datasets",
|
|
"autoevals",
|
|
]
|
|
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>=3.1.6"]
|
|
|
|
[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",
|
|
"./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
|
|
"DTZ", # datetime rules
|
|
]
|
|
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
|
|
]
|
|
|
|
# Ignore the following errors for the following files
|
|
[tool.ruff.lint.per-file-ignores]
|
|
"tests/**/*.py" = ["DTZ"] # Ignore datetime rules for tests
|
|
|
|
[tool.mypy]
|
|
mypy_path = ["llama_stack"]
|
|
packages = ["llama_stack"]
|
|
plugins = ['pydantic.mypy']
|
|
disable_error_code = []
|
|
warn_return_any = true
|
|
# # honor excludes by not following there through imports
|
|
follow_imports = "silent"
|
|
# Note: some entries are directories, not files. This is because mypy doesn't
|
|
# respect __init__.py excludes, so the only way to suppress these right now is
|
|
# to exclude the entire directory.
|
|
exclude = [
|
|
# As we fix more and more of these, we should remove them from the list
|
|
"^llama_stack/apis/agents/agents\\.py$",
|
|
"^llama_stack/apis/batch_inference/batch_inference\\.py$",
|
|
"^llama_stack/apis/benchmarks/benchmarks\\.py$",
|
|
"^llama_stack/apis/common/content_types\\.py$",
|
|
"^llama_stack/apis/common/training_types\\.py$",
|
|
"^llama_stack/apis/datasetio/datasetio\\.py$",
|
|
"^llama_stack/apis/datasets/datasets\\.py$",
|
|
"^llama_stack/apis/eval/eval\\.py$",
|
|
"^llama_stack/apis/files/files\\.py$",
|
|
"^llama_stack/apis/inference/inference\\.py$",
|
|
"^llama_stack/apis/inspect/inspect\\.py$",
|
|
"^llama_stack/apis/models/models\\.py$",
|
|
"^llama_stack/apis/post_training/post_training\\.py$",
|
|
"^llama_stack/apis/providers/providers\\.py$",
|
|
"^llama_stack/apis/resource\\.py$",
|
|
"^llama_stack/apis/safety/safety\\.py$",
|
|
"^llama_stack/apis/scoring/scoring\\.py$",
|
|
"^llama_stack/apis/scoring_functions/scoring_functions\\.py$",
|
|
"^llama_stack/apis/shields/shields\\.py$",
|
|
"^llama_stack/apis/synthetic_data_generation/synthetic_data_generation\\.py$",
|
|
"^llama_stack/apis/telemetry/telemetry\\.py$",
|
|
"^llama_stack/apis/tools/rag_tool\\.py$",
|
|
"^llama_stack/apis/tools/tools\\.py$",
|
|
"^llama_stack/apis/vector_dbs/vector_dbs\\.py$",
|
|
"^llama_stack/apis/vector_io/vector_io\\.py$",
|
|
"^llama_stack/cli/download\\.py$",
|
|
"^llama_stack/cli/llama\\.py$",
|
|
"^llama_stack/cli/stack/_build\\.py$",
|
|
"^llama_stack/cli/stack/list_providers\\.py$",
|
|
"^llama_stack/distribution/build\\.py$",
|
|
"^llama_stack/distribution/client\\.py$",
|
|
"^llama_stack/distribution/configure\\.py$",
|
|
"^llama_stack/distribution/library_client\\.py$",
|
|
"^llama_stack/distribution/request_headers\\.py$",
|
|
"^llama_stack/distribution/routers/",
|
|
"^llama_stack/distribution/server/endpoints\\.py$",
|
|
"^llama_stack/distribution/server/server\\.py$",
|
|
"^llama_stack/distribution/stack\\.py$",
|
|
"^llama_stack/distribution/store/registry\\.py$",
|
|
"^llama_stack/distribution/ui/page/playground/chat\\.py$",
|
|
"^llama_stack/distribution/utils/exec\\.py$",
|
|
"^llama_stack/distribution/utils/prompt_for_config\\.py$",
|
|
"^llama_stack/models/llama/datatypes\\.py$",
|
|
"^llama_stack/models/llama/llama3/chat_format\\.py$",
|
|
"^llama_stack/models/llama/llama3/interface\\.py$",
|
|
"^llama_stack/models/llama/llama3/prompt_templates/system_prompts\\.py$",
|
|
"^llama_stack/models/llama/llama3/tokenizer\\.py$",
|
|
"^llama_stack/models/llama/llama3/tool_utils\\.py$",
|
|
"^llama_stack/models/llama/llama3_3/prompts\\.py$",
|
|
"^llama_stack/models/llama/sku_list\\.py$",
|
|
"^llama_stack/providers/datatypes\\.py$",
|
|
"^llama_stack/providers/inline/agents/meta_reference/",
|
|
"^llama_stack/providers/inline/agents/meta_reference/agent_instance\\.py$",
|
|
"^llama_stack/providers/inline/agents/meta_reference/agents\\.py$",
|
|
"^llama_stack/providers/inline/agents/meta_reference/safety\\.py$",
|
|
"^llama_stack/providers/inline/datasetio/localfs/",
|
|
"^llama_stack/providers/inline/eval/meta_reference/eval\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/config\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/inference\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/llama3/generation\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/llama3/multimodal/model\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/parallel_utils\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/quantization/fp8_impls\\.py$",
|
|
"^llama_stack/providers/inline/inference/meta_reference/quantization/loader\\.py$",
|
|
"^llama_stack/providers/inline/inference/sentence_transformers/sentence_transformers\\.py$",
|
|
"^llama_stack/providers/inline/inference/vllm/",
|
|
"^llama_stack/providers/inline/post_training/common/validator\\.py$",
|
|
"^llama_stack/providers/inline/post_training/torchtune/post_training\\.py$",
|
|
"^llama_stack/providers/inline/safety/code_scanner/",
|
|
"^llama_stack/providers/inline/safety/llama_guard/",
|
|
"^llama_stack/providers/inline/safety/prompt_guard/",
|
|
"^llama_stack/providers/inline/scoring/basic/",
|
|
"^llama_stack/providers/inline/scoring/braintrust/",
|
|
"^llama_stack/providers/inline/scoring/llm_as_judge/",
|
|
"^llama_stack/providers/remote/agents/sample/",
|
|
"^llama_stack/providers/remote/datasetio/huggingface/",
|
|
"^llama_stack/providers/remote/inference/anthropic/",
|
|
"^llama_stack/providers/remote/inference/bedrock/",
|
|
"^llama_stack/providers/remote/inference/cerebras/",
|
|
"^llama_stack/providers/remote/inference/databricks/",
|
|
"^llama_stack/providers/remote/inference/fireworks/",
|
|
"^llama_stack/providers/remote/inference/gemini/",
|
|
"^llama_stack/providers/remote/inference/groq/",
|
|
"^llama_stack/providers/remote/inference/nvidia/",
|
|
"^llama_stack/providers/remote/inference/ollama/",
|
|
"^llama_stack/providers/remote/inference/openai/",
|
|
"^llama_stack/providers/remote/inference/passthrough/",
|
|
"^llama_stack/providers/remote/inference/runpod/",
|
|
"^llama_stack/providers/remote/inference/sambanova/",
|
|
"^llama_stack/providers/remote/inference/sample/",
|
|
"^llama_stack/providers/remote/inference/tgi/",
|
|
"^llama_stack/providers/remote/inference/together/",
|
|
"^llama_stack/providers/remote/inference/vllm/",
|
|
"^llama_stack/providers/remote/safety/bedrock/",
|
|
"^llama_stack/providers/remote/safety/nvidia/",
|
|
"^llama_stack/providers/remote/safety/sample/",
|
|
"^llama_stack/providers/remote/tool_runtime/bing_search/",
|
|
"^llama_stack/providers/remote/tool_runtime/brave_search/",
|
|
"^llama_stack/providers/remote/tool_runtime/model_context_protocol/",
|
|
"^llama_stack/providers/remote/tool_runtime/tavily_search/",
|
|
"^llama_stack/providers/remote/tool_runtime/wolfram_alpha/",
|
|
"^llama_stack/providers/remote/post_training/nvidia/",
|
|
"^llama_stack/providers/remote/vector_io/chroma/",
|
|
"^llama_stack/providers/remote/vector_io/milvus/",
|
|
"^llama_stack/providers/remote/vector_io/pgvector/",
|
|
"^llama_stack/providers/remote/vector_io/qdrant/",
|
|
"^llama_stack/providers/remote/vector_io/sample/",
|
|
"^llama_stack/providers/remote/vector_io/weaviate/",
|
|
"^llama_stack/providers/tests/conftest\\.py$",
|
|
"^llama_stack/providers/utils/bedrock/client\\.py$",
|
|
"^llama_stack/providers/utils/bedrock/refreshable_boto_session\\.py$",
|
|
"^llama_stack/providers/utils/inference/embedding_mixin\\.py$",
|
|
"^llama_stack/providers/utils/inference/litellm_openai_mixin\\.py$",
|
|
"^llama_stack/providers/utils/inference/model_registry\\.py$",
|
|
"^llama_stack/providers/utils/inference/openai_compat\\.py$",
|
|
"^llama_stack/providers/utils/inference/prompt_adapter\\.py$",
|
|
"^llama_stack/providers/utils/kvstore/config\\.py$",
|
|
"^llama_stack/providers/utils/kvstore/kvstore\\.py$",
|
|
"^llama_stack/providers/utils/kvstore/mongodb/mongodb\\.py$",
|
|
"^llama_stack/providers/utils/kvstore/postgres/postgres\\.py$",
|
|
"^llama_stack/providers/utils/kvstore/redis/redis\\.py$",
|
|
"^llama_stack/providers/utils/kvstore/sqlite/sqlite\\.py$",
|
|
"^llama_stack/providers/utils/memory/vector_store\\.py$",
|
|
"^llama_stack/providers/utils/scoring/aggregation_utils\\.py$",
|
|
"^llama_stack/providers/utils/scoring/base_scoring_fn\\.py$",
|
|
"^llama_stack/providers/utils/telemetry/dataset_mixin\\.py$",
|
|
"^llama_stack/providers/utils/telemetry/trace_protocol\\.py$",
|
|
"^llama_stack/providers/utils/telemetry/tracing\\.py$",
|
|
"^llama_stack/strong_typing/auxiliary\\.py$",
|
|
"^llama_stack/strong_typing/deserializer\\.py$",
|
|
"^llama_stack/strong_typing/inspection\\.py$",
|
|
"^llama_stack/strong_typing/schema\\.py$",
|
|
"^llama_stack/strong_typing/serializer\\.py$",
|
|
"^llama_stack/templates/dev/dev\\.py$",
|
|
"^llama_stack/templates/groq/groq\\.py$",
|
|
"^llama_stack/templates/sambanova/sambanova\\.py$",
|
|
"^llama_stack/templates/template\\.py$",
|
|
]
|
|
|
|
[[tool.mypy.overrides]]
|
|
# packages that lack typing annotations, do not have stubs, or are unavailable.
|
|
module = ["yaml", "fire"]
|
|
ignore_missing_imports = true
|
|
|
|
[tool.pydantic-mypy]
|
|
init_forbid_extra = true
|
|
init_typed = true
|
|
warn_required_dynamic_aliases = true
|