Local model services

models.providers.<id>.localService lets RemoteClaw start a provider-owned local model server on demand. It is provider-level config: when the selected model belongs to that provider, RemoteClaw 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, RemoteClaw probes healthUrl.
3. If the probe succeeds, RemoteClaw uses the existing server.
4. If the probe fails, RemoteClaw starts command with args.
5. RemoteClaw polls readiness until readyTimeoutMs expires.
6. The model request is sent through the normal provider transport.
7. If RemoteClaw started the process and idleStopMs is positive, the process is stopped after the last in-flight request has been idle for that long.

RemoteClaw does not install launchd, systemd, Docker, or a daemon for this. The server is a child process of the RemoteClaw 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 RemoteClaw process environment.
• healthUrl: readiness URL. If omitted, RemoteClaw 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 RemoteClaw-started processes. 0 or omitted keeps the process alive until RemoteClaw 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 RemoteClaw.

ds4 example

For the full setup, context sizing guidance, and verification commands, see ds4.

{
  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: [],
      },
    },
  },
}

Operational notes

• One RemoteClaw process manages the child it started. Another RemoteClaw 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 RemoteClaw through the inferrs OpenAI-compatible local server.