MythEclipse
e5fa2b3f30
feat(ai-moderation): personality-rich user/channel profiling & memory-aware analysis
...
- moderationPrompt.ts: Add PERSONALITY & MEMORY section instructing LLM to
use user_profile and channel_culture in analysis, with 3 new few-shot
examples (normal profile use, deviation detection, don't overfit)
- userProfileLearner.ts: Richer personality summary prompt — asks for
communication style, passion topics, unique habits/signature traits,
social dynamics, and writes in warm observer prose
- cultureLearner.ts: Richer channel culture summary — asks for 'vibe',
inside jokes, social norms, dynamics. Writes in anthropologist style
2026-06-21 19:11:11 +07:00
MythEclipse and Claude
30f8d7cce3
feat: replace corrections/tuner with dashboard module
...
Replace the corrections/adaptive-prompt-tuner feature with a new
dashboard module providing server stats and user profile overview.
Backend:
- Add dashboard module (routes, service, repository) with stats + user list + user detail endpoints
- Remove corrections module entirely
- Wire dashboard router in app.ts
Frontend:
- Add dashboard feature (DashboardStats, UserSummaryList, UserProfileDetail components + useDashboard hook)
- Remove tuner feature (CorrectionStats, CorrectionHistory, SubmitCorrection, useCorrections)
- Update API client from corrections → dashboard types/fns
- Rename tab 'tuner' → 'dashboard'
- Update MobileTabBar, Header, Sidebar links
Tests:
- Expand backend placeholder test with dashboard assertions
- Expand discord-gateway placeholder test with config/channel assertions
AI moderation:
- llmModerationClient: improve status/reply detection, expand safety categories, fix timer reset
- userProfileLearner: fix isReply refinement
- userProfileStore: add pending cache check
- messageMetadata: add crosspost type mapping
- migrate.ts: improve partial-index safety in schema push
Co-Authored-By: Claude <noreply@anthropic.com >
2026-06-13 11:24:42 +07:00
MythEclipse and Claude
fbc2184c6e
feat(ai-moderation): add user profile self-learning system
...
Add user_profiles table, store, and background learner worker
that summarizes user communication style, topics, and personality.
- New user_profiles table (user_id PK, guild_id, profile_summary, last_analyzed_at)
- userProfileStore.ts — CRUD (get/update) following channelCultureStore pattern
- userProfileLearner.ts — background worker: queries 100 recent msgs per user,
calls LLM for personality summary, updates every 12h
- Inject <user_profile> XML tag per-message in moderation prompt
- Start worker alongside cultureLearner in aiAnalyzer.ts
- Migration 0008 for user_profiles table
Co-Authored-By: Claude <noreply@anthropic.com >
2026-06-12 20:11:34 +07:00
MythEclipse