Reviewers were asked to include or exclude learning trajectories while
only seeing metadata — credit class, confidence, status. The decisions
and their redacted context turns were already captured and stored, but
no endpoint returned them, so the evidence was unreachable from the UI.
Add GET /api/learning/trajectories/:id and an expandable row on the
learning page that fetches on demand.
Also widen SentMessageSchema to accept matrixEventId, imageOutcomeCredit
and imageOutcomeAt. The learning loop added these to SentMessageRecord
and they flow out of /api/messages, but the strict contract rejected
them, breaking the dashboard.
Enable generation with shadow mode off so eligible examples reach reply
prompts.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Stopping the bot previously halted conversation syncing too. On the
multi-account path the run-flag check sat above both the reply-sync and
response-check branches, so a stop left only MediaSyncService's coarse
30-minute chat refresh. The legacy single-account path did the opposite
and kept syncing while stopped — one boolean meaning two things.
Replace the boolean with an explicit three-way mode:
running — discover, screen, send, automate replies
scan — refresh chats, detect replies, check responses; send nothing
and discover nothing; actionable replies surface as backlog
stopped — everything halts, including background media sync
scan differs from browser.dryRun, which still discovers and pays for AI
screening before suppressing the send.
The mode persists in runtime_state.bot_mode; a migration backfills it
from bot_running, and rows written by an older build still read
correctly. Both loops now gate on the mode, the account runtime loop
reconciles background media sync on transitions only, and the dashboard
and agent API expose all three states.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
jjbrunton