ATOCore/openclaw-plugins/atocore-capture/README.md

# AtoCore Capture Plugin for OpenClaw

Minimal OpenClaw plugin that mirrors Claude Code's `capture_stop.py` behavior:

- watches user-triggered assistant turns
- uses OpenClaw's dispatch-stage message body (`before_dispatch.body`) for the human prompt, then pairs it with the actual outbound assistant message on `message_sending`
- POSTs `prompt` + `response` to `POST /interactions`
- sets `client="openclaw"`
- sets `reinforce=true`
- fails open on network or API errors

## Config

Optional plugin config:

```json
{
  "baseUrl": "http://dalidou:8100",
  "minPromptLength": 15,
  "maxResponseLength": 50000
}
```

If `baseUrl` is omitted, the plugin uses `ATOCORE_BASE_URL` or defaults to `http://dalidou:8100`.

## Notes

- Project detection is intentionally left empty for now. Unscoped capture is acceptable because AtoCore's extraction pipeline handles unscoped interactions.
- Prompt cleaning is done inside the plugin by reading OpenClaw's dispatch-stage message body instead of the raw prompt-build input.
- Turn pairing is done by caching the prompt on dispatch and posting only when OpenClaw emits the outbound assistant message, which is more reliable than pairing against raw model output events.
- Extraction is **not** part of the capture path. This plugin only records interactions and lets AtoCore reinforcement run automatically.
- The plugin captures only user-triggered turns, not heartbeats or system-only runs.