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inferrs serves local models behind an OpenAI-compatible /v1 API. OpenClaw talks to it through the generic openai-completions adapter.
PropertyValue
Provider idinferrs (custom; configure under models.providers.inferrs)
Pluginnone — not a bundled OpenClaw provider plugin
Auth env varnone required; any value works if your inferrs server has no auth
APIOpenAI-compatible (openai-completions)
Suggested base URLhttp://127.0.0.1:8080/v1 (or wherever your inferrs server listens)
inferrs is a custom self-hosted OpenAI-compatible backend, not a dedicated OpenClaw provider plugin: you configure it under models.providers.inferrs instead of picking an onboarding auth choice. For a bundled plugin with auto-discovery, see SGLang or vLLM.

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Getting started

1

Start inferrs with a model

inferrs serve google/gemma-4-E2B-it \
  --host 127.0.0.1 \
  --port 8080 \
  --device metal
2

Verify the server is reachable

curl http://127.0.0.1:8080/health
curl http://127.0.0.1:8080/v1/models
3

Add an OpenClaw provider entry

Add an explicit provider entry and point your default model at it. See the config example below.

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Full config example

Gemma 4 on a local inferrs server: 
{
  agents: {
    defaults: {
      model: { primary: "inferrs/google/gemma-4-E2B-it" },
      models: {
        "inferrs/google/gemma-4-E2B-it": {
          alias: "Gemma 4 (inferrs)",
        },
      },
    },
  },
  models: {
    mode: "merge",
    providers: {
      inferrs: {
        baseUrl: "http://127.0.0.1:8080/v1",
        apiKey: "inferrs-local",
        api: "openai-completions",
        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,
            },
          },
        ],
      },
    },
  },
}

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On-demand startup

OpenClaw can start inferrs itself only when an inferrs/... model is selected. Add localService to the same provider entry: 
{
  models: {
    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,
            },
          },
        ],
      },
    },
  },
}
command must be an absolute path. Run which inferrs on the Gateway host and use that path. Full field reference: Local model services.

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Advanced configuration

Some inferrs Chat Completions routes accept only string messages[].content, not structured content-part arrays.
If OpenClaw runs fail with:
messages[1].content: invalid type: sequence, expected a string
set compat.requiresStringContent: true in the model entry. OpenClaw then flattens pure text content parts into plain strings before sending the request.
Some inferrs + Gemma combinations accept small direct /v1/chat/completions requests but fail on full OpenClaw agent-runtime turns. Try disabling the tool schema surface first:
compat: {
  requiresStringContent: true,
  supportsTools: false
}
That reduces prompt pressure on stricter local backends. If tiny direct requests still work but normal OpenClaw agent turns keep crashing inside inferrs, treat it as an upstream model/server limitation rather than an OpenClaw transport issue.
Test both layers once configured:
curl http://127.0.0.1:8080/v1/chat/completions \
  -H 'content-type: application/json' \
  -d '{"model":"google/gemma-4-E2B-it","messages":[{"role":"user","content":"What is 2 + 2?"}],"stream":false}'

openclaw infer model run \
  --model inferrs/google/gemma-4-E2B-it \
  --prompt "What is 2 + 2? Reply with one short sentence." \
  --json
If the first command works but the second fails, see Troubleshooting below.
Because inferrs uses the generic openai-completions adapter (not openai-responses), native-OpenAI-only request shaping never applies: no service_tier, no Responses store, no prompt-cache hints, and no OpenAI reasoning-compat payload shaping get sent.

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Troubleshooting

inferrs is not running, not reachable, or not bound to the host/port you configured. Confirm the server is started and listening on that address.
Set compat.requiresStringContent: true in the model entry (see above).
Set compat.supportsTools: false to disable the tool schema surface (see the Gemma caveat above).
If schema errors are gone but inferrs still crashes on larger agent turns, treat it as an upstream inferrs or model limitation. Reduce prompt pressure or switch backend/model.
For general help, see Troubleshooting and FAQ.

Local models

Running OpenClaw against local model servers.

Local model services

Starting local model servers on demand for configured providers.

Gateway troubleshooting

Debugging local OpenAI-compatible backends that pass probes but fail agent runs.

Model selection

Overview of all providers, model refs, and failover behavior.