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vLLM

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

CoderClaw 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.

  1. 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
  1. Opt in (any value works if no auth is configured):
Terminal window
export VLLM_API_KEY="vllm-local"
  1. Select a model (replace with one of your vLLM model IDs):
{
agents: {
defaults: {
model: { primary: "vllm/your-model-id" },
},
},
}

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

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,
},
],
},
},
},
}
  • Check the server is reachable:
Terminal window
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.