message_updated broadcasts only {id, edited_content, edited_at} (+ reset
ai_* fields), but the frontend replaced the whole cached record, wiping
username/content/channel_id/created_at -> blank cards and the
'the channel_id of undefined' crash on /messages. Merge partials over the
existing record (list + detail), make list-patching channel-filter aware,
show edited content/badge, and fix the message_updated WS type.
Also broadcast type:'edited' + ai reset in message_updated so the live UI
matches the DB update.
packages/shared dihapus (5802d02), modul pindah ke src/shared/. Update
import placeholder.test.ts (gateway + backend) ke path lokal + aktifkan
tests/ di backend vitest config dengan alias @. Sebelumnya vitest run
gateway selalu gagal; sekarang 60+36 tests pass.
Audit lanjutan: 6x 'LLM API request failed: Request was aborted' per jam.
Root cause: 9router/omniroute SELALU balas SSE (data: chunks) walau request
tanpa stream:true — SDK OpenAI non-stream menunggu FULL body sebelum parse,
jadi batch moderasi besar yang upstream-nya lambat kena timeout 30-60s dan
di-abort. llmClient sudah punya agregasi streaming (chunks → ChatCompletion).
Fix: stream:true di llmCaller (moderasi batch/individual), llmVision,
cultureLearner, userProfileLearner. Verified: SDK stream test 806ms vs
sebelumnya abort. Caller lain (recovery worker dll) lewat llmCaller sama.
Audit log produksi (sejak deploy13:38) menemukan 3 isu:
1. mediaDownloader.ts spawn /usr/bin/ffprobe + /usr/bin/ffmpeg (path keras) —
ENOENT di Nix karena binary cuma di ffmpeg-headless closure. Pakai
PATH-resolved ('ffprobe'/'ffmpeg') seperti voice-recording module
(ffmpegProcess.ts/transmitter.ts) — 5 media warning hilang.
2. individualFallbackProcessor log error 'Success' di level50 tiap fallback
BERHASIL (logModerationError dengan new Error('Success')) — ganti
logger.info dengan verdict yang sama; error log cuma untuk error asli.
3. moderationResponseParser: strip frasa penutup generik ('Tidak ada
indikasi pelanggaran.') yang masih sering dikeluarkan LLM walau prompt
melarang (277/1486 analisis mengandung frasa, termasuk hari ini).
sanitizeGenericCleanCloser hanya mencocok frasa di AKHIR, teks substantif
tetap utuh. Unit test: 6/6 pass.
Migration 0011 (add voice_recordings.transcription) when=1781388000000
lebih kecil dari 0010 (1781390000000) yang sudah ter-apply — drizzle
skip diam-diam (folderMillis <= max(created_at)), kolom transcription
tidak pernah dibuat. Recording OGG sukses tapi INSERT voice_recordings
gagal 42703 di produksi.
Fix: when=1785600000000 (> max applied 1785551832190) + apply manual
ALTER TABLE + insert row __drizzle_migrations dengan hash file yang
sama (c368acb0...) supaya gateway restart berikutnya skip (idempotent).
pnpm 11.17 mengabaikan field pnpm.onlyBuiltDependencies di package.json.
Native deps voice (@discordjs/opus, @lng2004/node-datachannel, zeromq, dll)
tidak pernah kebangun di Nix store karena flake pnpmInstall pakai
--ignore-scripts dan pnpm rebuild tanpa approval. Hasil: receiver/rekaman/
GoLive diam-diam tanpa decoder/encoder native.
pnpm approve-builds --all menulis allowBuilds:true per package di
pnpm-workspace.yaml (harus tracked — flake source cuma ikut file git).
node-crc tetap gagal build (MSRV cargo:: check) tapi tidak pernah
di-import di source — harmless.
/api/chat/history 500 (relation "chatbot_messages" does not exist):
codebase di-rename mascot->chatbot (977a6f9) tapi tabel DB tidak
pernah di-migrate — backend SELECT dari chatbot_messages, DB masih
mascot_chat_messages dengan kolom mascot_response.
- Migration 0013 (idempotent): ALTER TABLE mascot_chat_messages RENAME
TO chatbot_messages, RENAME COLUMN mascot_response -> bot_response,
RENAME INDEX -> idx_chatbot_messages_user_created; journal when >
max(created_at) di __drizzle_migrations (0012)
- Diterapkan live via psql; riwayat chat lama tetap ada
- Verifikasi: GET /api/chat/history 200 + data, POST /api/chat 200
+ tersimpan (total history 1 -> 2)
QoL lanjutan dari fix60084b3: content pesan mentah masih nampilin
snowflake (<@&roleid>, <@userid>, <:emoji:id>) di log moderasi dan
prompt LLM. Sekarang dirender ke nama yang bisa dibaca:
- Gateway capture: metadata menyimpan mentionedRoles + mentionedUsers
(id+name) dari message.mentions, disimpan ke metadata JSON
- renderDiscordMentions(): <@&id> -> @RoleName, <@id> -> @Username,
<:name:id> -> :name:, fallback @role/@user — dipakai di
conversationContext (konteks LLM) dan moderationBuilders
(getAnalysisContent) sehingga LLM lihat nama role/user beneran,
bukan placeholder generik
- Frontend renderMessageContent() (mirror gateway) dipasang di semua
tempat nampilin content: message-card, message-detail(-view),
search-overlay, search-panel, users/channels section, live-stream,
mod-queue, review list; sticker-only message tetap [Sticker: name],
pesan teks+sticker kini ikut nampilin nama sticker
- tsc --noEmit PASS di gateway & frontend; renderDiscordMentions
diverifikasi manual (6 kasus: role/user/emoji/unknown/plain)
- Deleted the text analysis prompt constants and helpers as they are no longer needed.
- Added batch search functionality for Qdrant to optimize vector searches.
- Implemented methods for deleting expired Qdrant points and invalidating cache based on content hash.
- Updated text batch processor to use new timeout configurations and modified content building for moderation prompts.
- Enhanced text cache store to support new Qdrant integration and improved cache invalidation logic.
- Introduced a new user reputation model with a more nuanced trust scoring system, including penalties and rewards for user behavior.
- Added unit tests for the new trust model to ensure correctness of penalty and trust gain calculations.
- Updated configuration schema to reflect new timeout settings and removed deprecated OpenAI moderation keys.
New qdrantClient.ts (zero-dep fetch REST): ensure collection with cosine
distance (auto-recreate on vector-size change), upsert point w/ verdict
payload, search w/ expires_at filter + score threshold.
textCacheStore: when QDRANT_URL set, embeddings are upserted to Qdrant
(primary) and searched there first; Postgres embedding column remains as
legacy fallback for pre-Qdrant rows. Config: QDRANT_URL/COLLECTION/API_KEY.
QDRANT_URL already in repo .env; added to VPS env + GATEWAY_ENV secret.
Drizzle 0.45 migrate() runs only migrations with folderMillis > the
latest created_at in __drizzle_migrations. Hand-written when was
1781580000000 (June 16) < stored 1781672400000 (June 17), so 0012 was
silently skipped and the embedding column never created. Bumped when to
now; migrator will apply it on next deploy.
OpenAI SDK v6 defaults to encoding_format=base64; llama-nemotron-embed
(Nvidia-backed) returns 400 'do not support base64'. Semantic cache was
silently disabled in prod. encoding_format: 'float' fixes it.
TS compiled this fine, but the JS spec forbids mixing || and ??
without explicit parens; Node threw 'Unexpected token ??' at startup,
crash-looping gmw-discord-gateway (restart counter 250). Wrap the
fallback chain in parens so the expression is valid.
Root cause: ai-analysis-worker read llmResult.explanation and
llmResult.toxicityScore — fields the LLM pipeline never produces
(canonical AnalysisResult uses analysis/score). Every message fell back
to the bare template "Tidak ada indikasi pelanggaran." and the stored
score was always 0.
- Map analysis/score correctly; fallback now quotes the message content
- Prompt: ban generic analysis phrasing, require reply context
- LLM context: include replied-to message content (metadata.reference)
so the model can explain what the user is replying to
- Frontend: show thread/channel names from metadata instead of raw IDs
(message card, detail views, search overlay); detail panel now
displays the ai_analysis text
- Auto-delete log/DM include the descriptive analysis as the reason
Delete fastClassifier.ts (manual regex patterns for phone/email/IP/crypto/
spam/toxicity) and simpleFallback.ts. These hardcoded patterns were the
source of false positives (Discord emoji snowflakes matched phone_number,
URL digits matched phone, etc.) and produced heuristic verdicts whenever
the LLM failed.
New flow: Message → LLM (with conversation context, media evidence, user
reputation) → verdict. On LLM failure the message is marked 'error' and
retried by the recovery worker — no heuristic verdicts, ever.
Discord markdown tokens (custom emoji/mentions/timestamps) are normalized
to readable placeholders ([emoji:name], @user, @role, #channel, [time])
before reaching the LLM via discordTokens.ts.
Custom emoji (<:name:id>), user/role/channel mentions and timestamps embed
long numeric snowflakes that tripped the phone_number / personal_info /
ip_address_sharing patterns — e.g. <:mambotongue:1463255254220148939> was
flagged as phone_number. Strip Discord markdown tokens before pattern
matching and require phone matches to not sit inside a longer digit run.
Build & Deploy / build-and-push (backend) (push) Failing after 35s
Build & Deploy / build-and-push (discord-gateway) (push) Failing after 25s
Build & Deploy / build-and-push (proxy) (push) Failing after 25s
- Remove pnpm workspace, moon repo, and all monorepo tooling
- Delete packages/shared/, embed shared code directly into each service
- Copy packages/shared/src/* -> services/backend/src/shared/ and services/discord-gateway/src/shared/
- Replace all @bete/shared imports with @/shared/ path alias
- Remove @bete/shared workspace dependency from both services
- Update root package.json scripts from --filter to --prefix
- Rewrite Dockerfiles to build each service standalone
- Clean up biome.json, .gitignore, remove root drizzle.config.ts
Build & Deploy / build-and-push (backend) (push) Successful in 25s
Build & Deploy / build-and-push (proxy) (push) Successful in 3m46s
Build & Deploy / build-and-push (discord-gateway) (push) Failing after 4m42s
- Cast llmResult through unknown to handle type mismatch between
shared AnalysisResult and layer-specific local type
- Exclude src/**/archive/** from tsconfig to prevent dead code errors
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Build & Deploy / build-and-push (discord-gateway) (push) Failing after 28s
Build & Deploy / build-and-push (backend) (push) Successful in 1m46s
Build & Deploy / build-and-push (proxy) (push) Successful in 1m37s
\U escapes are not valid in JavaScript/TypeScript regex literals.
Use new RegExp() constructor to avoid TS parser issues.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Full frontend redesign with glassmorphic dark theme, floating top nav,
Live2D mascot, split-pane messages, and Ops Center dashboard.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com
Build & Deploy / build-and-push (discord-gateway) (push) Failing after 2m22s
Build & Deploy / build-and-push (backend) (push) Failing after 3m22s
Build & Deploy / build-and-push (proxy) (push) Successful in 1m36s
Build & Deploy / deploy (push) Skipped
- Consolidate all DB schema definitions into packages/shared as single source of truth
- Migrate backend from raw SQL to Drizzle ORM across all modules
- Extract frontend inline UI into separate component files
- Refactor discord-gateway circuitBreaker into conversationState + moderationState
- Convert messageStore to Proxy singleton pattern
- Add validateBody/validateQuery middleware + Zod schemas for API endpoints
- Modernize Docker builds with multi-stage + pnpm deploy
- Migrate CI/CD from deployment to image-based pipeline
- Remove 60+ unused/dead files (~15K lines)
- Update color scheme from sky-blue to teal-cyan
- Move DB connection management to @bete/shared/database
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Implemented AppHeader component with theme toggle and connection status.
- Created AppSidebar component for navigation with connection status indicator.
- Added MobileNav component for mobile navigation with responsive design.
- Introduced shared components: DetailStat, EmptyState, ErrorState, LoadingSkeleton, and StatCard for consistent UI.
- Developed hooks for async data fetching: useAsync, useConfig, useDashboard, useGuilds, useMedia, useMessages, useRecordings, and useVoice.
- Added chatbot API functions for sending messages and managing chat history.
- Added new dependencies for Next.js and lucide-react in pnpm-workspace.yaml.
- Refactored DashboardPage component to improve readability and error handling.
- Enhanced Header component to display error status with an alert icon.
- Updated MobileTabBar and Sidebar components to use a centralized tabs definition.
- Improved ChannelsView in dashboard-panel to handle channel fetching more cleanly.
- Fixed ActiveSpeaker type to use camelCase for userId.
- Updated MessagesPanel to handle guildId checks more gracefully.
- Adjusted API calls in dashboard and messages to align with backend expectations.
- Refined type definitions across various interfaces for consistency and clarity.
- Fix noImplicitAnyLet: add type to let match variable
- Fix noAssignInExpressions: use matchAll() + for-of instead of while
- Suppress useExhaustiveDependencies in mascot scroll effect
- Suppress useSemanticElements for message card click handler
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
asepharyana