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Providers

Meta

The Meta API uses the OpenAI-compatible Responses API (POST /v1/responses) for the Muse Spark reasoning models. OpenClaw provides Meta as an official external plugin.

Property Value
Provider id meta
Plugin @openclaw/meta-provider
Auth env var MODEL_API_KEY
Onboarding flag --auth-choice meta-api-key
Direct CLI flag --meta-api-key <key>
API Responses API (openai-responses)
Base URL https://api.meta.ai/v1
Default model meta/muse-spark-1.1
OpenClaw reasoning default high (reasoning.effort)

Getting started

  • Install the plugin

    bash
    openclaw plugins install @openclaw/meta-provideropenclaw gateway restart

  • Set the API key

    Onboarding
    openclaw onboard --auth-choice meta-api-key
    Direct flag
    openclaw onboard --non-interactive --accept-risk --skip-health \--auth-choice meta-api-key \--meta-api-key "$MODEL_API_KEY"
    Env only
    export MODEL_API_KEY=<key>

  • Verify models are available

    bash
    openclaw models list --provider meta

    Lists the static Muse Spark catalog entries. If MODEL_API_KEY is unresolved, openclaw models status --json reports the missing credential under auth.unusableProfiles.

    • Non-interactive setup

    bash
    openclaw onboard --non-interactive --accept-risk --skip-health \  --mode local \  --auth-choice meta-api-key \  --meta-api-key "$MODEL_API_KEY"

    Built-in catalog

    Prices and data-use terms come from Meta's pricing and rate limits documentation.

    Model ref Name OpenClaw input Reasoning Context window Input / cached input / output per 1M tokens
    meta/muse-spark-1.1 Muse Spark 1.1 text, image yes 1,048,576 $1.25 / $0.15 / $4.25
    meta/muse-spark-1.2 Muse Spark 1.2 text, image yes 1,048,576 $1.25 / $0.15 / $4.25
    meta/muse-spark-1.2-contributor Muse Spark 1.2 Contributor text, image yes 1,048,576 $0.10 / $0.002 / $0.20

    Capabilities:

    • Text and image input through OpenClaw
    • Tool calling and streaming
    • Reasoning effort: minimal, low, medium, high, xhigh (OpenClaw default: high)
    • Stateless encrypted reasoning replay (store: false, include: ["reasoning.encrypted_content"])

    Meta's model catalog lists text, image, video, audio, and PDF input for these models. OpenClaw's model catalog directly represents text and image input only; the other upstream modalities are not model-manifest input values.

    OpenClaw explicitly selects high when no thinking level is configured. This is an OpenClaw default, not Meta's omitted-parameter behavior: Meta's reasoning documentation says that when reasoning.effort is omitted, the model reasons at a model-determined level.

    Manual config

    json5
    {  env: { vars: { MODEL_API_KEY: "<key>" } },  agents: {    defaults: {      model: { primary: "meta/muse-spark-1.1" },      models: {        "meta/muse-spark-1.1": { alias: "Muse Spark 1.1" },      },    },  },}

    Smoke test

    bash
    export MODEL_API_KEY=<key>pnpm test:live -- extensions/meta/meta.live.test.ts

    The live suite exercises enabled Meta cases against POST /v1/responses.

    Model providers

    Choosing providers, model refs, and failover behavior.
    Thinking modes

    Reasoning effort levels for Muse Spark.
    Configuration reference

    Agent defaults and model configuration.
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