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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> |
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| .. | ||
| __init__.py | ||
| agents.py | ||
| datasetio.py | ||
| eval.py | ||
| files.py | ||
| inference.py | ||
| post_training.py | ||
| safety.py | ||
| scoring.py | ||
| telemetry.py | ||
| tool_runtime.py | ||
| vector_io.py | ||