Two-layer fix for forwarded messages showing as empty/clean:
Layer 1 (messageMetadata.ts): getReferencedMessageContent() now falls
back to message.messageSnapshots Collection when channel.messages.cache
lookup fails. Discord stores forward content in message_snapshots API
field, not in message.content.
Layer 2 (moderationBuilders.ts): buildReferenceXml() now parses msg.
metadata JSON to extract reference.content when DB getMessageById()
fails (cross-server forwards not in local DB).
Previously: forward messages captured with empty parentContent →
LLM saw no reference text → '99% confidence, pesan kosong'.
Now: forward content flows through capture → metadata → analysis.
- Previously: text+media message went ONLY to media array → text waited for vision
- Now: text part goes to text batch (immediate LLM analysis), media parallel
- DB update is idempotent — second write to same message_id overwrites
- User sees text moderation results instantly, media follows when ready
- text-only and media analysis now run concurrently via Promise.all
- text no longer blocks on media download + vision analysis
- each path independently saves to DB when its own results are ready
- same batch still uses single context fetch + attachment lookup
- Remove shouldSearchContent() trigger gate — search runs on all messages
- extractSearchQueries() now extracts from ANY message, not just trigger-matched
- Redis cache (24h TTL) prevents redundant searches for same query
- initSearxngCache() lazy-connects via config.REDIS_URL
- Cache miss→API, hit→skip — fire-and-forget writes
- Both text batch + media path simplified
- Remove hardcoded hentai title lists (Boku no Pico, Euphoria, etc.) from prompt
- Remove hardcoded SARA examples from prompt (Kitabonia, etc.)
- Prompt now tells LLM to use <web_searches> as evidence instead of hardcoded knowledge
- Evidence priority: searxng > web_content > media_analysis > internal model
- Code-side triggers in searxngSearch.ts still filter which messages to search
- LLM makes final decision based on search results, not static lists
- Video frame extraction via ffmpeg (4 key frames per video → vision LLM)
- Video display in FE MessageCard with HTML5 <video> player
- Reply/forward/crosspost indicator in FE + pipeline in DG/BE
- Fix: missing sanitizeAiContent + escapeXml in media path (prompt injection)
- Optimize: text-only batch results saved to DB immediately, no longer wait for media analysis
- BE mapper/schema/repo: add reference fields (is_reply, is_forward, etc.)
- userProfileLearner.ts: filter query to only clean messages (eq ai_status='clean')
to prevent profile contamination from flagged content. Also select channel_id
to group messages by channel in prompt, enabling channel-aware personality
summarization (user may behave differently across channels).
- llmModerationClient.ts (runSimpleTextFallback): inject user profile into
both the classify prompt and the reason prompt, so even the last-resort
fallback path has personality/memory context instead of being blind.
Migration SQL file existed but was never registered in _journal.json,
so Drizzle skipped it. Every voice recording insert failed with:
PG code 42703: column "transcription" does not exist
Co-Authored-By: Claude <noreply@anthropic.com>
Drizzle wraps PG errors — the previous log only showed the formatted query
text. Now extracts code, detail, schema, table, constraint, severity from
the error envelope and from .cause to make the actual Postgres error visible.
Co-Authored-By: Claude <noreply@anthropic.com>
Redis root cause: VoiceHandler passed redisPub to transmitter.start(),
which called .subscribe() on it — permanently converting the publish
connection to subscriber mode. Every subsequent command reply and status
update failed.
Fixes:
1. Transmitter now creates its own Redis client via new IORedis()
2. Mutual exclusion gate serialises start/stop to prevent null-deref races
3. PassThrough drain listeners cleaned up to stop MaxListenersExceeded
4. FFmpeg SIGTERM flagged as expected exit (no more false level-50 errors)
5. Voice recording repo captures PG error code/detail for diagnostics
Co-Authored-By: Claude <noreply@anthropic.com>
- Expand IMPHNEN domain rule to cover wildcard (*.imphnen.*)
- Trim redundant SARA examples from TEXT_ONLY_MODE (save ~950 tokens)
- Add debugging logs for channel culture injection into prompt
- Sync flag validation set with missing flags: potential_evasion, unclear_context
Co-Authored-By: Claude <noreply@anthropic.com>
- Add explicit system rule that IMPHNEN is the project's own name, not religion
- Rename 'Imphnemia 11:17' example to 'Kitabonia 11:17' to avoid name collision
- Ensures mentioning/promoting the project URL is not flagged as SARA
Co-Authored-By: Claude <noreply@anthropic.com>
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>
asepharyana