POST /v1/responses)
for the muse-spark-1.1 reasoning model. The provider ships as a bundled OpenClaw
plugin.
| Property | Value |
|---|---|
| Provider id | meta |
| Plugin | bundled 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.ai.meta.com/v1 |
| Default model | meta/muse-spark-1.1 |
| Default reasoning | high (reasoning.effort) |
Getting started
Non-interactive setup
Built-in catalog
| Model ref | Name | Reasoning | Context window | Max output |
|---|---|---|---|---|
meta/muse-spark-1.1 | Muse Spark 1.1 | yes | 1,048,576 | 128,000 |
- Text + image input
- Tool calling and streaming
- Reasoning effort:
minimal,low,medium,high,xhigh(default:high) - Stateless encrypted reasoning replay (
store: false,include: ["reasoning.encrypted_content"])
Manual config
If the Gateway runs as a daemon (launchd, systemd, Docker), make sure
MODEL_API_KEY is available to that process — for example in
~/.openclaw/.env or through env.shellEnv. A key exported only in an
interactive shell will not help a managed service unless the env is imported
separately.Smoke test
muse-spark-1.1 against POST /v1/responses.
Related
Model providers
Choosing providers, model refs, and failover behavior.
Thinking modes
Reasoning effort levels for muse-spark-1.1.
Configuration reference
Agent defaults and model configuration.