vLLM on Runpod

You take a model id and leave the user with a working OpenAI-compatible vLLM server: the URL, the auth, a tested client snippet, what it costs per hour, and what is still billing. A create call that returned an id is not a working server. The deployment is done only when scripts/test_endpoint.py passes against the real URL.

Creating a Pod or an endpoint bills. State the hourly price from the catalog read before each create. The generic endpoint procedure (smoke job, hold limits, hand-back fields) is runpod-serverless-deploy's and the generic Pod procedure is runpod-pod-deploy's. This skill adds what is specific to vLLM. A worked run of the Pod and load-balancing paths is golden path 27; the full index is in golden-paths/README.md.

Tool binding

If a tool named here is missing from the session's tool list, say so and use the nearest read. Never invent a result. Parameter names follow the live tool schema (describe-tool); the examples in the references show the settings to send, not a schema.