moltbot/docs/gateway/local-model-services.md

summary, read_when, title

summary	read_when	title
Start local model servers on demand before OpenClaw model requests	You want OpenClaw to start a local model server only when its model is selected You run ds4, inferrs, vLLM, llama.cpp, MLX, or another OpenAI-compatible local server You need to control cold start, readiness, and idle shutdown for local providers	Local model services

models.providers.<id>.localService lets OpenClaw start a provider-owned local model server on demand. It is provider-level config: when the selected model belongs to that provider, OpenClaw probes the service, starts the process if the endpoint is down, waits for readiness, then sends the model request.

Use it for local servers that are expensive to keep running all day, or for manual setups where model selection should be enough to bring the backend up.

How it works

1. A model request resolves to a configured provider.
2. If that provider has localService, OpenClaw probes healthUrl.
3. If the probe succeeds, OpenClaw uses the existing server.
4. If the probe fails, OpenClaw starts command with args.
5. OpenClaw polls readiness until readyTimeoutMs expires.
6. The model request is sent through the normal provider transport.
7. If OpenClaw started the process and idleStopMs is positive, the process is stopped after the last in-flight request has been idle for that long.

OpenClaw does not install launchd, systemd, Docker, or a daemon for this. The server is a child process of the OpenClaw process that first needed it.

Config shape

{
  models: {
    providers: {
      local: {
        baseUrl: "http://127.0.0.1:8000/v1",
        apiKey: "local-model",
        api: "openai-completions",
        timeoutSeconds: 300,
        localService: {
          command: "/absolute/path/to/server",
          args: ["--host", "127.0.0.1", "--port", "8000"],
          cwd: "/absolute/path/to/working-dir",
          env: { LOCAL_MODEL_CACHE: "/absolute/path/to/cache" },
          healthUrl: "http://127.0.0.1:8000/v1/models",
          readyTimeoutMs: 180000,
          idleStopMs: 0,
        },
        models: [
          {
            id: "my-local-model",
            name: "My Local Model",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 131072,
            maxTokens: 8192,
          },
        ],
      },
    },
  },
}

Fields

• command: absolute executable path. Shell lookup is not used.
• args: process arguments. No shell expansion, pipes, globbing, or quoting rules are applied.
• cwd: optional working directory for the process.
• env: optional environment variables merged over the OpenClaw process environment.
• healthUrl: readiness URL. If omitted, OpenClaw appends /models to baseUrl, so http://127.0.0.1:8000/v1 becomes http://127.0.0.1:8000/v1/models.
• readyTimeoutMs: startup readiness deadline. Default: 120000.
• idleStopMs: idle shutdown delay for OpenClaw-started processes. 0 or omitted keeps the process alive until OpenClaw exits.

Inferrs example

Inferrs is a custom OpenAI-compatible /v1 backend, so the same local service API works with the inferrs provider entry.

{
  agents: {
    defaults: {
      model: { primary: "inferrs/google/gemma-4-E2B-it" },
    },
  },
  models: {
    mode: "merge",
    providers: {
      inferrs: {
        baseUrl: "http://127.0.0.1:8080/v1",
        apiKey: "inferrs-local",
        api: "openai-completions",
        timeoutSeconds: 300,
        localService: {
          command: "/opt/homebrew/bin/inferrs",
          args: [
            "serve",
            "google/gemma-4-E2B-it",
            "--host",
            "127.0.0.1",
            "--port",
            "8080",
            "--device",
            "metal",
          ],
          healthUrl: "http://127.0.0.1:8080/v1/models",
          readyTimeoutMs: 180000,
          idleStopMs: 0,
        },
        models: [
          {
            id: "google/gemma-4-E2B-it",
            name: "Gemma 4 E2B (inferrs)",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 131072,
            maxTokens: 4096,
            compat: {
              requiresStringContent: true,
            },
          },
        ],
      },
    },
  },
}

Replace command with the result of which inferrs on the machine running OpenClaw.

ds4 example

{
  models: {
    providers: {
      ds4: {
        baseUrl: "http://127.0.0.1:18000/v1",
        apiKey: "ds4-local",
        api: "openai-completions",
        timeoutSeconds: 300,
        localService: {
          command: "/Users/you/Projects/oss/ds4/ds4-server",
          args: [
            "--model",
            "/Users/you/Projects/oss/ds4/ds4flash.gguf",
            "--host",
            "127.0.0.1",
            "--port",
            "18000",
            "--ctx",
            "393216",
          ],
          cwd: "/Users/you/Projects/oss/ds4",
          healthUrl: "http://127.0.0.1:18000/v1/models",
          readyTimeoutMs: 300000,
          idleStopMs: 0,
        },
        models: [],
      },
    },
  },
}

Operational notes

• One OpenClaw process manages the child it started. Another OpenClaw process that sees the same health URL already live will reuse it without adopting it.
• Startup is serialized per provider command and argument set, so concurrent requests do not spawn duplicate servers for the same config.
• Active streaming responses hold a lease; idle shutdown waits until response body handling is complete.
• Use timeoutSeconds on slow local providers so cold starts and long generations do not hit the default model request timeout.
• Use an explicit healthUrl if your server exposes readiness somewhere other than /v1/models.

Related

Local model setup, provider choices, and safety guidance. Run OpenClaw through the inferrs OpenAI-compatible local server.