vLLM¶

vLLM can serve open-source (and some custom) models via an OpenAI-compatible HTTP API. OpenClaw can connect to vLLM using the openai-completions API.

OpenClaw can also auto-discover available models from vLLM when you opt in with VLLM_API_KEY (any value works if your server doesn’t enforce auth) and you do not define an explicit models.providers.vllm entry.

Quick start¶

Start vLLM with an OpenAI-compatible server.

Your base URL should expose /v1 endpoints (e.g. /v1/models, /v1/chat/completions). vLLM commonly runs on:

http://127.0.0.1:8000/v1
Opt in (any value works if no auth is configured):

export VLLM_API_KEY="vllm-local"

Select a model (replace with one of your vLLM model IDs):

{
  agents: {
    defaults: {
      model: { primary: "vllm/your-model-id" },
    },
  },
}

Model discovery (implicit provider)¶

When VLLM_API_KEY is set (or an auth profile exists) and you do not define models.providers.vllm, OpenClaw will query:

GET http://127.0.0.1:8000/v1/models

…and convert the returned IDs into model entries.

If you set models.providers.vllm explicitly, auto-discovery is skipped and you must define models manually.

Explicit configuration (manual models)¶

Use explicit config when:

vLLM runs on a different host/port.
You want to pin contextWindow/maxTokens values.
Your server requires a real API key (or you want to control headers).

{
  models: {
    providers: {
      vllm: {
        baseUrl: "http://127.0.0.1:8000/v1",
        apiKey: "${VLLM_API_KEY}",
        api: "openai-completions",
        models: [
          {
            id: "your-model-id",
            name: "Local vLLM Model",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 128000,
            maxTokens: 8192,
          },
        ],
      },
    },
  },
}

Troubleshooting¶

Check the server is reachable:

curl http://127.0.0.1:8000/v1/models

If requests fail with auth errors, set a real VLLM_API_KEY that matches your server configuration, or configure the provider explicitly under models.providers.vllm.