Ashwin Bharambe 199f859eec feat(vllm): periodically refresh models (#2823) ... 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.		2025-07-18 15:53:09 -07:00
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__init__.py	chore: remove nested imports (#2515)	2025-06-26 08:01:05 +05:30
event_logger.py	pre-commit lint	2024-09-28 16:04:41 -07:00
inference.py	feat(vllm): periodically refresh models (#2823)	2025-07-18 15:53:09 -07:00