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engineofperplexity/openclaw-meta-bridge
openclaw-meta-bridge is a machine learning model from engineofperplexity. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
FastAPI sidecar for Meta Page and Messenger workflows. It normalizes Meta webhooks, stores inbound events and drafts, exposes approval-gated tools, and keeps public sends behind explicit human approval.
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Updated May 29, 2026
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From the Hugging Face model README
FastAPI sidecar for Meta Page and Messenger workflows. It normalizes Meta webhooks, stores inbound events and drafts, exposes approval-gated tools, and keeps public sends behind explicit human approval.
Copy .env.example to .env and fill in real values. Keep .env private.
Page contexts are configured with META_PAGE_CONTEXTS, then per-page env vars:
META_PAGE_CONTEXTS=healthcare,civic
META_PAGE_ID_HEALTHCARE=...
META_PAGE_TOKEN_HEALTHCARE=...
META_PAGE_NAME_HEALTHCARE="Example Health Services"
The public repo intentionally uses generic sample contexts. Rename contexts and risk rules for your own deployment.
python3 -m venv .venv
. .venv/bin/activate
pip install -r requirements.txt
pytest
uvicorn app.main:app --reload --port 8090
.env, database files, webhook payload archives, logs, Page tokens, Page IDs from private deployments, or screenshots containing private conversations.approved_by; validation-only mode is available for dry runs.