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:

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

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

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.