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* fix(extensions): make indexed access explicit across channel plugins Transport-payload-safe burn-down: malformed Telegram/Discord/QQ/LINE and sibling channel input keeps existing skip paths; no synthesized fields, no new throws in delivery loops. Zalo escape sentinels preserve literal matches instead of undefined replacements. * fix(extensions): make indexed access explicit across provider and memory plugins Stream and model iteration, tool-block guards, capture guards, and sparse accumulators; singleton model reads carry named invariants. * fix(extensions): make indexed access explicit across tooling plugins, flip the extensions lane Remaining plugins (oc-path, qa-lab, browser, logbook, and siblings) plus the tsconfig.extensions.json flag flip. Cleanup: logbook sampleFrames NaN index at max=1, QA retry clamp at non-positive attempts, dead Canvas probe and OpenShell no-op slice removed, twitch test setup leak excluded from the prod lane. * refactor(plugin-sdk): expose expectDefined via a focused SDK subpath Extensions imported @openclaw/normalization-core directly, crossing the external-plugin packaging boundary (it only worked because the runtime builder bundles undeclared workspace helpers). expect-runtime joins the canonical entrypoints JSON, generated exports, API baseline, docs, and subpath contract test; all 78 extension imports now use the SDK seam. Two scanner-shaped locals renamed for review-bundle hygiene. * chore(plugin-sdk): raise surface budgets for the expect-runtime subpath One new entrypoint with one callable export, added intentionally as the packaging-honest seam for extension invariant helpers.
Meta provider
Bundled OpenClaw provider plugin for the Meta API — an OpenAI-compatible
Responses API endpoint (POST /v1/responses).
- Base URL:
https://api.meta.ai/v1 - Auth:
Authorization: Bearer $MODEL_API_KEY - Model:
muse-spark-1.1(reasoning model)- Context window: 1,048,576 tokens (input + output share the budget)
- Maximum output: 131,072 tokens
- Reasoning effort:
minimal | low | medium | high | xhigh(default:high) - Vision: image input in
usermessages - Tool calling + streaming
- Stateless encrypted reasoning replay (
store: false)
Usage
Set the API key and select the model:
export MODEL_API_KEY=<key>
// ~/.openclaw/openclaw.json
{
agents: {
defaults: {
model: { primary: "meta/muse-spark-1.1" },
},
},
}
Or run onboarding and choose Meta.
Thinking / reasoning
--thinking <level> and /think <level> map to Responses API reasoning.effort.
Default thinking level is high. off maps to minimal because Muse Spark does
not accept none.
Docs
See docs/providers/meta.md for setup, onboarding, and smoke tests.
Live test
export MODEL_API_KEY=<key>
pnpm test:live -- extensions/meta/meta.live.test.ts
Live tests call muse-spark-1.1 on /v1/responses.