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Sébastien Han 2025-06-20 10:17:23 +02:00
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83
.github/workflows/providers-build.yml vendored
View file

@ -42,11 +42,11 @@ jobs:
build:
needs: generate-matrix
runs-on: ubuntu-latest
strategy:
matrix:
template: ${{ fromJson(needs.generate-matrix.outputs.templates) }}
image-type: [venv, container]
fail-fast: false # We want to run all jobs even if some fail
# strategy:
# matrix:
# template: ${{ fromJson(needs.generate-matrix.outputs.templates) }}
# image-type: [venv, container]
# fail-fast: false # We want to run all jobs even if some fail
steps:
- name: Checkout repository
@ -57,44 +57,53 @@ jobs:
with:
install-ollama: false
- name: Print dependencies in the image
if: matrix.image-type == 'venv'
# - name: Print dependencies in the image
# if: matrix.image-type == 'venv'
# run: |
# uv pip list
# - name: Run Llama Stack Build - VENV
# if: matrix.image-type == 'venv'
# run: |
# uv sync --no-default-groups --extra ${{ matrix.template }}
- name: Run Llama Stack Build - VENV - meta-reference-gpu-distro
# if: matrix.image-type == 'venv'
run: |
uv pip list
uv sync --no-default-groups --extra meta-reference-gpu-distro
- name: Run Llama Stack Build - VENV
if: matrix.image-type == 'venv'
run: |
uv sync --no-default-groups --extra ${{ matrix.template }}
- name: Setup tmate session
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3
# TODO
- name: Run Llama Stack Build - CONTAINER
if: matrix.image-type == 'container'
run: |
# TODO: use llama_stack/templates/Containerfile when we have a new release!
cat << 'EOF' > Containerfile
FROM registry.access.redhat.com/ubi9
WORKDIR /app
ARG TEMPLATE
# # TODO
# - name: Run Llama Stack Build - CONTAINER
# if: matrix.image-type == 'container'
# run: |
# # TODO: use llama_stack/templates/Containerfile when we have a new release!
# cat << 'EOF' > Containerfile
# FROM registry.access.redhat.com/ubi9
# WORKDIR /app
# ARG TEMPLATE
RUN dnf -y update \
&& dnf install -y python3.11 python3.11-pip python3.11-wheel python3.11-setuptools python3.11-devel gcc make \
&& ln -s /bin/pip3.11 /bin/pip \
&& ln -s /bin/python3.11 /bin/python \
&& dnf clean all
# RUN dnf -y update \
# && dnf install -y python3.11 python3.11-pip python3.11-wheel python3.11-setuptools python3.11-devel gcc make \
# && ln -s /bin/pip3.11 /bin/pip \
# && ln -s /bin/python3.11 /bin/python \
# && dnf clean all
RUN mkdir -p /.llama/providers.d /.cache
COPY . /app/llama-stack
RUN cd llama-stack && pip install --no-cache .[${TEMPLATE}]
RUN chmod -R g+rw /app /.llama /.cache
ENTRYPOINT ["python", "-m", "llama_stack.distribution.server.server", "--config", "/app/llama-stack/templates/${TEMPLATE}/run.yaml"]
EOF
docker build --build-arg TEMPLATE=${{ matrix.template }} -f Containerfile -t ${{ matrix.template }} .
# RUN mkdir -p /.llama/providers.d /.cache
# COPY . /app/llama-stack
# RUN cd llama-stack && pip install --no-cache .[${TEMPLATE}]
# RUN chmod -R g+rw /app /.llama /.cache
# ENTRYPOINT ["python", "-m", "llama_stack.distribution.server.server", "--config", "/app/llama-stack/templates/${TEMPLATE}/run.yaml"]
# EOF
# docker build --build-arg TEMPLATE=${{ matrix.template }} -f Containerfile -t ${{ matrix.template }} .
- name: Print dependencies in the image
if: matrix.image-type == 'venv'
run: |
uv pip list
# - name: Print dependencies in the image
# if: matrix.image-type == 'venv'
# run: |
# uv pip list
build-single-provider:
runs-on: ubuntu-latest

41
pyproject.toml
View file

@ -1,5 +1,5 @@
[build-system]
requires = ["setuptools>=80.0"]
requires = ["setuptools>=80.0", "numpy"]
build-backend = "setuptools.build_meta"
[project]
@ -26,7 +26,7 @@ dependencies = [
"fire",
"httpx",
"huggingface-hub",
"jinja2>=3.1.6",
"jinja2<=3.1.4",
"jsonschema",
"llama-stack-client>=0.2.11",
"openai>=1.66",
@ -911,7 +911,10 @@ watsonx = [
"uvicorn",
]
cpu = ["torch"]
gpu = ["torch"]
meta-reference-gpu-distro = ["llama_stack[meta-reference-gpu,gpu]"]
[dependency-groups]
dev = [
@ -944,7 +947,7 @@ unit = [
"sqlalchemy",
"sqlalchemy[asyncio]>=2.0.41",
"blobfile",
"faiss-cpu"
"faiss-cpu",
]
# 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
@ -983,7 +986,7 @@ docs = [
"linkify",
"sphinxcontrib.openapi",
]
codegen = ["rich", "pydantic", "jinja2>=3.1.6", "tomlkit"]
codegen = ["rich", "pydantic", "tomlkit"]
[project.urls]
Homepage = "https://github.com/meta-llama/llama-stack"
@ -996,14 +999,32 @@ install-wheel-from-presigned = "llama_stack.cli.scripts.run:install_wheel_from_p
where = ["."]
include = ["llama_stack", "llama_stack.*"]
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true
# [[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.uv]
# Needed when building on macOS
conflicts = [[{ extra = "cpu" }, { extra = "gpu" }]]
[tool.uv.sources]
torch = [{ index = "pytorch-cpu" }]
torchvision = [{ index = "pytorch-cpu" }]
torch = [
{ index = "torch-cpu", extra = "cpu" },
{ index = "torch-gpu", extra = "gpu" },
]
[[tool.uv.index]]
name = "torch-cpu"
url = "https://download.pytorch.org/whl/cpu"
[[tool.uv.index]]
name = "torch-gpu"
url = "https://download.pytorch.org/whl/cu124"
[[tool.uv.dependency-metadata]]
name = "sentence-transformers"

280
uv.lock generated
View file

@ -672,10 +672,9 @@ wheels = [
[[package]]
name = "colorama"
version = "0.4.6"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/d8/53/6f443c9a4a8358a93a6792e2acffb9d9d5cb0a5cfd8802644b7b1c9a02e4/colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44", size = 27697, upload-time = "2022-10-25T02:36:22.414Z" }
source = { registry = "https://download.pytorch.org/whl/cpu" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
{ url = "https://download.pytorch.org/whl/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6" },
]
[[package]]
@ -2438,6 +2437,10 @@ ci-tests = [
{ name = "tree-sitter" },
{ name = "uvicorn" },
]
cpu = [
{ name = "torch", version = "2.6.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
{ name = "torch", version = "2.6.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
]
dell = [
{ name = "aiohttp" },
{ name = "aiosqlite" },
@ -2532,6 +2535,10 @@ fireworks = [
{ name = "tree-sitter" },
{ name = "uvicorn" },
]
gpu = [
{ name = "torch", version = "2.6.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
{ name = "torch", version = "2.6.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
]
groq = [
{ name = "aiosqlite" },
{ name = "autoevals" },
@ -2759,6 +2766,57 @@ meta-reference-gpu = [
{ name = "uvicorn" },
{ name = "zmq" },
]
meta-reference-gpu-distro = [
{ name = "accelerate" },
{ name = "aiosqlite" },
{ name = "autoevals" },
{ name = "chardet" },
{ name = "chromadb-client" },
{ name = "datasets" },
{ name = "emoji" },
{ name = "fairscale" },
{ name = "faiss-cpu" },
{ name = "fastapi" },
{ name = "fbgemm-gpu-genai" },
{ name = "fire" },
{ name = "httpx" },
{ name = "langdetect" },
{ name = "lm-format-enforcer" },
{ name = "matplotlib" },
{ name = "mcp" },
{ name = "nltk" },
{ name = "numpy" },
{ name = "openai" },
{ name = "opentelemetry-exporter-otlp-proto-http", version = "1.26.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'darwin'" },
{ name = "opentelemetry-exporter-otlp-proto-http", version = "1.30.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform == 'darwin'" },
{ name = "opentelemetry-sdk", version = "1.26.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'darwin'" },
{ name = "opentelemetry-sdk", version = "1.30.0", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform == 'darwin'" },
{ name = "pandas" },
{ name = "pillow" },
{ name = "psycopg2-binary" },
{ name = "pymongo" },
{ name = "pypdf" },
{ name = "pythainlp" },
{ name = "redis" },
{ name = "requests", version = "2.32.2", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and sys_platform == 'darwin') or (python_full_version >= '3.12' and sys_platform == 'linux') or (platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
{ name = "requests", version = "2.32.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.12' and platform_machine == 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.12' and sys_platform == 'darwin')" },
{ name = "scikit-learn" },
{ name = "scipy" },
{ name = "sentence-transformers" },
{ name = "sentencepiece" },
{ name = "sqlalchemy", extra = ["asyncio"] },
{ name = "torch", version = "2.6.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
{ name = "torch", version = "2.6.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
{ name = "torchao" },
{ name = "torchvision", version = "0.21.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
{ name = "torchvision", version = "0.21.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
{ name = "tqdm" },
{ name = "transformers", version = "4.50.3", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform == 'darwin'" },
{ name = "transformers", version = "4.52.4", source = { registry = "https://pypi.org/simple" }, marker = "sys_platform != 'darwin'" },
{ name = "tree-sitter" },
{ name = "uvicorn" },
{ name = "zmq" },
]
nvidia = [
{ name = "aiohttp" },
{ name = "aiosqlite" },
@ -3629,6 +3687,7 @@ requires-dist = [
{ name = "litellm", marker = "extra == 'open-benchmark'" },
{ name = "litellm", marker = "extra == 'sambanova'" },
{ name = "litellm", marker = "extra == 'starter'" },
{ name = "llama-stack", extras = ["meta-reference-gpu", "gpu"], marker = "extra == 'meta-reference-gpu-distro'" },
{ name = "llama-stack-client", specifier = ">=0.2.11" },
{ name = "llama-stack-client", marker = "extra == 'ui'", specifier = ">=0.2.11" },
{ name = "lm-format-enforcer", marker = "extra == 'meta-reference-gpu'" },
@ -4084,40 +4143,42 @@ requires-dist = [
{ name = "together", marker = "extra == 'open-benchmark'" },
{ name = "together", marker = "extra == 'starter'" },
{ name = "together", marker = "extra == 'together'" },
{ name = "torch", marker = "extra == 'cerebras'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'ci-tests'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'dell'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'fireworks'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'hf-serverless'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'llama-api'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'meta-reference-gpu'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'ollama'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'passthrough'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'postgres-demo'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'remote-vllm'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'sambanova'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'starter'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'tgi'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'together'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'vllm-gpu'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'watsonx'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", marker = "extra == 'cerebras'" },
{ name = "torch", marker = "extra == 'ci-tests'" },
{ name = "torch", marker = "extra == 'cpu'" },
{ name = "torch", marker = "extra == 'dell'" },
{ name = "torch", marker = "extra == 'fireworks'" },
{ name = "torch", marker = "extra == 'gpu'" },
{ name = "torch", marker = "extra == 'hf-serverless'" },
{ name = "torch", marker = "extra == 'llama-api'" },
{ name = "torch", marker = "extra == 'meta-reference-gpu'" },
{ name = "torch", marker = "extra == 'ollama'" },
{ name = "torch", marker = "extra == 'passthrough'" },
{ name = "torch", marker = "extra == 'postgres-demo'" },
{ name = "torch", marker = "extra == 'remote-vllm'" },
{ name = "torch", marker = "extra == 'sambanova'" },
{ name = "torch", marker = "extra == 'starter'" },
{ name = "torch", marker = "extra == 'tgi'" },
{ name = "torch", marker = "extra == 'together'" },
{ name = "torch", marker = "extra == 'vllm-gpu'" },
{ name = "torch", marker = "extra == 'watsonx'" },
{ name = "torchao", marker = "extra == 'meta-reference-gpu'", specifier = "==0.8.0" },
{ name = "torchvision", marker = "extra == 'cerebras'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'ci-tests'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'dell'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'fireworks'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'hf-serverless'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'llama-api'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'meta-reference-gpu'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'passthrough'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'postgres-demo'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'remote-vllm'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'sambanova'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'starter'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'tgi'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'together'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'vllm-gpu'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'watsonx'", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", marker = "extra == 'cerebras'" },
{ name = "torchvision", marker = "extra == 'ci-tests'" },
{ name = "torchvision", marker = "extra == 'dell'" },
{ name = "torchvision", marker = "extra == 'fireworks'" },
{ name = "torchvision", marker = "extra == 'hf-serverless'" },
{ name = "torchvision", marker = "extra == 'llama-api'" },
{ name = "torchvision", marker = "extra == 'meta-reference-gpu'" },
{ name = "torchvision", marker = "extra == 'passthrough'" },
{ name = "torchvision", marker = "extra == 'postgres-demo'" },
{ name = "torchvision", marker = "extra == 'remote-vllm'" },
{ name = "torchvision", marker = "extra == 'sambanova'" },
{ name = "torchvision", marker = "extra == 'starter'" },
{ name = "torchvision", marker = "extra == 'tgi'" },
{ name = "torchvision", marker = "extra == 'together'" },
{ name = "torchvision", marker = "extra == 'vllm-gpu'" },
{ name = "torchvision", marker = "extra == 'watsonx'" },
{ name = "tqdm", marker = "extra == 'bedrock'" },
{ name = "tqdm", marker = "extra == 'cerebras'" },
{ name = "tqdm", marker = "extra == 'ci-tests'" },
@ -4207,7 +4268,7 @@ requires-dist = [
{ name = "vllm", marker = "sys_platform == 'linux' and extra == 'vllm-gpu'" },
{ name = "zmq", marker = "extra == 'meta-reference-gpu'" },
]
provides-extras = ["ui", "bedrock", "cerebras", "ci-tests", "dell", "fireworks", "groq", "hf-endpoint", "hf-serverless", "llama-api", "meta-reference-gpu", "nvidia", "ollama", "open-benchmark", "passthrough", "postgres-demo", "remote-vllm", "sambanova", "starter", "tgi", "together", "vllm-gpu", "watsonx"]
provides-extras = ["ui", "bedrock", "cerebras", "ci-tests", "dell", "fireworks", "groq", "hf-endpoint", "hf-serverless", "llama-api", "meta-reference-gpu", "nvidia", "ollama", "open-benchmark", "passthrough", "postgres-demo", "remote-vllm", "sambanova", "starter", "tgi", "together", "vllm-gpu", "watsonx", "cpu", "gpu", "meta-reference-gpu-distro"]
[package.metadata.requires-dev]
codegen = [
@ -4261,8 +4322,8 @@ test = [
{ name = "pypdf" },
{ name = "sqlalchemy" },
{ name = "sqlalchemy", extras = ["asyncio"], specifier = ">=2.0.41" },
{ name = "torch", specifier = ">=2.6.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torchvision", specifier = ">=0.21.0", index = "https://download.pytorch.org/whl/cpu" },
{ name = "torch", specifier = ">=2.6.0" },
{ name = "torchvision", specifier = ">=0.21.0" },
{ name = "transformers" },
]
unit = [
@ -4430,49 +4491,9 @@ wheels = [
[[package]]
name = "markupsafe"
version = "3.0.2"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/b2/97/5d42485e71dfc078108a86d6de8fa46db44a1a9295e89c5d6d4a06e23a62/markupsafe-3.0.2.tar.gz", hash = "sha256:ee55d3edf80167e48ea11a923c7386f4669df67d7994554387f84e7d8b0a2bf0", size = 20537, upload-time = "2024-10-18T15:21:54.129Z" }
source = { registry = "https://download.pytorch.org/whl/cpu" }
wheels = [
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