Local Model Services On-Demand

models.providers.<id>.localService launches a provider-owned local model server on demand. When a model or embedding request selects that provider, OpenClaw checks the health endpoint, starts the process if it is down, waits for it to become ready, then forwards the request. Use this to avoid keeping expensive local servers running all day.

How it works

A model or embedding request resolves to a configured provider.
If that provider has localService, OpenClaw probes healthUrl.
On a successful probe, OpenClaw uses the already-running server.
On a failed probe, OpenClaw spawns command with args.
OpenClaw polls the health endpoint until readyTimeoutMs expires.
The request goes through the normal model or embedding transport.
If OpenClaw started the process and idleStopMs is set, it stops the process after the last in-flight request has been idle that long.

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

Startup is serialized per configured provider and command/argument/env set, so concurrent chat and embedding requests for the same service do not spawn duplicate servers. Each request holds its own lease until response handling completes, so idle shutdown waits for every in-flight model and embedding request. Configured provider aliases remain distinct: two aliases can point at different GPU hosts without collapsing onto the same Ollama, LM Studio, or OpenAI-compatible adapter id.

If another OpenClaw process already has a healthy server at the same healthUrl, this process reuses it without adopting it (each process only manages the child it personally started). Startup and exit logs include bounded, redacted child-output tails plus timing and exit details; configured environment values are never emitted.

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,
          },
        ],
      },
    },
  },
}

Set timeoutSeconds on the provider entry (not localService) so slow cold starts and long generations do not hit the default model request timeout. Set an explicit healthUrl whenever your server exposes readiness somewhere other than /models on the base URL.

Fields

Field	Required	Description
`command`	yes	Absolute executable path. No shell PATH lookup.
`args`	no	Process arguments. No shell expansion, pipes, globbing, or quoting.
`cwd`	no	Working directory for the process.
`env`	no	Environment variables merged over the OpenClaw process environment.
`healthUrl`	no	Readiness URL. Defaults to `baseUrl` with `/models` appended (`http://127.0.0.1:8000/v1` becomes `http://127.0.0.1:8000/v1/models`).
`readyTimeoutMs`	no	Startup readiness deadline. Default: `120000`.
`idleStopMs`	no	Idle shutdown delay for an OpenClaw-started process. `0` or omitted keeps it alive until OpenClaw exits.

Inferrs example

Inferrs is a custom OpenAI-compatible /v1 backend, so the same localService API works with an 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. Full inferrs setup: Inferrs.

ds4 example

{
  models: {
    providers: {
      ds4: {
        baseUrl: "http://127.0.0.1:18000/v1",
        apiKey: "ds4-local",
        api: "openai-completions",
        timeoutSeconds: 300,
        localService: {
          command: "<DS4_DIR>/ds4-server",
          args: [
            "--model",
            "<DS4_DIR>/ds4flash.gguf",
            "--host",
            "127.0.0.1",
            "--port",
            "18000",
            "--ctx",
            "32768",
            "--tokens",
            "128",
          ],
          cwd: "<DS4_DIR>",
          healthUrl: "http://127.0.0.1:18000/v1/models",
          readyTimeoutMs: 300000,
          idleStopMs: 0,
        },
        models: [],
      },
    },
  },
}

Full setup, context sizing, and verification commands: ds4.

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