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prototype: use pyproject and uv to build distribution

Browse source 
Goals:

* remove the need of a custom tool to install a collection of python
  packages AKA `llama stack build`
* use the power of 'uv', which was designed to manage dependencies
* `llama stack build` can "probably" go away and be replaced with uv

Howto, with the pyproject, you can install an Ollama distribution in a
virtual env like so:

```
uv venv --python 3.10 ollama-distro
source ollama-distro/bin/activate
uv sync --extra ollama
llama stack run llama_stack/templates/ollama/run.yaml
```

Caveats:

* external provider, we could still use a build file or add
the known external providers to the pyproject?
* growth of the uv.lock?

We create a requirements.txt for convenience as some users are most
familiar with this format than looking at pyproject.

Signed-off-by: Sébastien Han <seb@redhat.com>
This commit is contained in:
Sébastien Han 2025-05-27 20:31:57 +02:00
parent 6832e8a658
commit b6ebbe1bc0
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13 changed files with 5579 additions and 679 deletions
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869
pyproject.toml
View file

@ -1,5 +1,5 @@
[build-system]
requires = ["setuptools>=61.0"]
requires = ["setuptools>=80.0"]
build-backend = "setuptools.build_meta"
[project]
@ -53,6 +53,866 @@ ui = [
"streamlit-option-menu",
]
#################
# DISTRIBUTIONS #
#################
bedrock = [
"aiosqlite",
"autoevals",
"boto3",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"sqlalchemy[asyncio]",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
cerebras = [
"aiosqlite",
"autoevals",
"cerebras_cloud_sdk",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
ci-tests = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"fastapi",
"fire",
"fireworks-ai",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"sqlite-vec",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
dell = [
"aiohttp",
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"huggingface_hub",
"langdetect",
"matplotlib",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
fireworks = [
"aiosqlite",
"asyncpg",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"fireworks-ai",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
groq = [
"aiosqlite",
"autoevals",
"chardet",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"litellm",
"matplotlib",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"sqlalchemy[asyncio]",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
hf-endpoint = [
"aiohttp",
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"huggingface_hub",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"sqlalchemy[asyncio]",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
hf-serverless = [
"aiohttp",
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"huggingface_hub",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
llama_api = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"fastapi",
"fire",
"httpx",
"langdetect",
"litellm",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"sqlite-vec",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
meta-reference-gpu = [
"accelerate",
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"fairscale",
"faiss-cpu",
"fastapi",
"fbgemm-gpu-genai==1.1.2",
"fire",
"httpx",
"langdetect",
"lm-format-enforcer",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchao==0.8.0",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
"zmq",
]
nvidia = [
"aiohttp",
"aiosqlite",
"chardet",
"datasets",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"matplotlib",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"sqlalchemy[asyncio]",
"tqdm",
"transformers",
"uvicorn",
]
ollama = [
"aiohttp",
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"ollama",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"peft",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"tqdm",
"transformers",
"tree_sitter",
"trl",
"uvicorn",
]
open-benchmark = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"fastapi",
"fire",
"httpx",
"langdetect",
"litellm",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentencepiece",
"sqlalchemy[asyncio]",
"sqlite-vec",
"together",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
passthrough = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
postgres-demo = [
"aiosqlite",
"asyncpg",
"chardet",
"chromadb-client",
"fastapi",
"fire",
"httpx",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"uvicorn",
]
remote-vllm = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
sambanova = [
"aiosqlite",
"chardet",
"chromadb-client",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"litellm",
"matplotlib",
"mcp",
"nltk",
"numpy",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"uvicorn",
]
starter = [
"aiohttp",
"aiosqlite",
"asyncpg",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"fastapi",
"fire",
"fireworks-ai",
"httpx",
"langdetect",
"litellm",
"matplotlib",
"mcp",
"nltk",
"numpy",
"ollama",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"sqlite-vec",
"together",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
tgi = [
"aiohttp",
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"huggingface_hub",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
together = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"together",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
vllm-gpu = [
"aiosqlite",
"autoevals",
"chardet",
"chromadb-client",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
"vllm; sys_platform == 'linux'",
]
watsonx = [
"aiosqlite",
"autoevals",
"chardet",
"datasets",
"emoji",
"faiss-cpu",
"fastapi",
"fire",
"httpx",
"ibm_watson_machine_learning",
"langdetect",
"matplotlib",
"mcp",
"nltk",
"numpy",
"openai",
"opentelemetry-exporter-otlp-proto-http",
"opentelemetry-sdk",
"pandas",
"pillow",
"psycopg2-binary",
"pymongo",
"pypdf",
"pythainlp",
"redis",
"requests",
"scikit-learn",
"scipy",
"sentence-transformers",
"sentencepiece",
"sqlalchemy[asyncio]",
"torch",
"torchvision",
"tqdm",
"transformers",
"tree_sitter",
"uvicorn",
]
[dependency-groups]
dev = [
"pytest",
@ -123,7 +983,7 @@ docs = [
"linkify",
"sphinxcontrib.openapi",
]
codegen = ["rich", "pydantic", "jinja2>=3.1.6"]
codegen = ["rich", "pydantic", "jinja2>=3.1.6", "tomlkit"]
[project.urls]
Homepage = "https://github.com/meta-llama/llama-stack"
@ -145,6 +1005,11 @@ explicit = true
torch = [{ index = "pytorch-cpu" }]
torchvision = [{ index = "pytorch-cpu" }]
[[tool.uv.dependency-metadata]]
name = "sentence-transformers"
requires-dist = [
] # This instructs UV to not install any dependencies for this package (torch is installed by default)
[tool.ruff]
line-length = 120
exclude = [