forked from phoenix-oss/llama-stack-mirror
cca9bd6cc3
# What does this PR do? Removed local execution option from the remote Qdrant provider and introduced an explicit inline provider for the embedded execution. Updated the ollama template to include this option: this part can be reverted in case we don't want to have two default `vector_io` providers. (Closes #1082) ## Test Plan Build and run an ollama distro: ```bash llama stack build --template ollama --image-type conda llama stack run --image-type conda ollama ``` Run one of the sample ingestionapplicatinos like [rag_with_vector_db.py](https://github.com/meta-llama/llama-stack-apps/blob/main/examples/agents/rag_with_vector_db.py), but replace this line: ```py selected_vector_provider = vector_providers[0] ``` with the following, to use the `qdrant` provider: ```py selected_vector_provider = vector_providers[1] ``` After running the test code, verify the timestamp of the Qdrant store: ```bash % ls -ltr ~/.llama/distributions/ollama/qdrant.db/collection/test_vector_db_* total 784 -rw-r--r--@ 1 dmartino staff 401408 Feb 26 10:07 storage.sqlite ``` [//]: # (## Documentation) --------- Signed-off-by: Daniele Martinoli <dmartino@redhat.com> Co-authored-by: Francisco Arceo <farceo@redhat.com>
319 lines
13 KiB
TOML
319 lines
13 KiB
TOML
[build-system]
|
|
requires = ["setuptools>=61.0"]
|
|
build-backend = "setuptools.build_meta"
|
|
|
|
[project]
|
|
name = "llama_stack"
|
|
version = "0.1.7"
|
|
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>=0.1.7",
|
|
"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", "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",
|
|
"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
|
|
"I", # isort
|
|
"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"]
|
|
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$",
|
|
"^llama_stack/providers/inline/post_training/torchtune/common/checkpointer\\.py$",
|
|
"^llama_stack/providers/inline/post_training/torchtune/common/utils\\.py$",
|
|
"^llama_stack/providers/inline/post_training/torchtune/datasets/sft\\.py$",
|
|
"^llama_stack/providers/inline/post_training/torchtune/recipes/lora_finetuning_single_device\\.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/inline/telemetry/meta_reference/console_span_processor\\.py$",
|
|
"^llama_stack/providers/inline/telemetry/meta_reference/telemetry\\.py$",
|
|
"^llama_stack/providers/inline/telemetry/sample/",
|
|
"^llama_stack/providers/inline/tool_runtime/code_interpreter/",
|
|
"^llama_stack/providers/inline/tool_runtime/rag/",
|
|
"^llama_stack/providers/inline/vector_io/chroma/",
|
|
"^llama_stack/providers/inline/vector_io/faiss/",
|
|
"^llama_stack/providers/inline/vector_io/milvus/",
|
|
"^llama_stack/providers/inline/vector_io/qdrant/",
|
|
"^llama_stack/providers/inline/vector_io/sqlite_vec/",
|
|
"^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/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
|