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199f859eec
Just like #2805 but for vLLM. We also make VLLM_URL env variable optional (not required) -- if not specified, the provider silently sits idle and yells eventually if someone tries to call a completion on it. This is done so as to allow this provider to be present in the `starter` distribution. ## Test Plan Set up vLLM, copy the starter template and set `{ refresh_models: true, refresh_models_interval: 10 }` for the vllm provider and then run: ``` ENABLE_VLLM=vllm VLLM_URL=http://localhost:8000/v1 \ uv run llama stack run --image-type venv /tmp/starter.yaml ``` Verify that `llama-stack-client models list` brings up the model correctly from vLLM. |
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| .. | ||
| __init__.py | ||
| benchmarks.py | ||
| common.py | ||
| datasets.py | ||
| models.py | ||
| scoring_functions.py | ||
| shields.py | ||
| toolgroups.py | ||
| vector_dbs.py | ||