Commit Graph
15 Commits
Author SHA1 Message Date
asepharyana 0dff7770a1 perf(ai-moderation): speed up analysis queue (ramai + sepi)
- Parallelize per-user reputation/profile fetches in textBatchProcessor
  (was a serial ~2N DB/Redis round-trip loop per sub-batch; now Promise.all
  over unique users). Cuts per-batch latency, biggest win on small/quiet
  batches.
- Make the LLM concurrency semaphore dynamic (cached per config value) instead
  of frozen at import time, so AI_LLM_MAX_CONCURRENT is tunable without code
  change and reflects current config.
- Bump AI_LLM_MAX_CONCURRENT default 5 -> 8 (gemini-flash-lite is cheap; helps
  throughput when busy).
- Lower AI_ANALYSIS_DEBOUNCE_MS 500 -> 250 (snappier first-message analysis
  when quiet).
- Lower AI_ANALYSIS_RECOVERY_INTERVAL_MS 15000 -> 10000 (stuck/errored
  messages re-analyze sooner).

tsc, biome, vitest (129) all clean.
2026-08-16 18:51:13 +07:00
asepharyanaandClaude Opus 5 (Nous Research) d8552a9fb8 feat(ai): make standalone image/vision analysis timeout explicit (1 min)
The standalone image analysis path (analyzeSingleMediaImage → llmVision →
llmChat) previously had no request-level timeout of its own — it silently
inherited the shared OpenAI client default (60s), and AI_LLM_MEDIA_ANALYSIS_
TIMEOUT_MS only governed the text+media *batch*, not a single vision call.

- Add AI_LLM_VISION_ANALYSIS_TIMEOUT_MS (default 60000) to config.
- llmChat now accepts an optional per-request `timeout` in LlmCallOpts,
  forwarded to the OpenAI request options (falls back to the 60s client
  default when omitted).
- llmVision passes config.AI_LLM_VISION_ANALYSIS_TIMEOUT_MS, so a single
  image/sticker/emoji analysis gets a guaranteed 1-minute budget and is
  independently tunable from the text path.

Verified: tsc + biome green, 129 gateway tests pass.

Co-Authored-By: Claude Opus 5 (Nous Research)
2026-08-16 10:47:24 +07:00
asepharyanaandClaude Opus 5 d2e97ae11d audit(gateway): fix dead /metrics endpoint, raise OOM-prone MemoryMax, trim DB pool
- gateway-metrics: collectors now run per scrape so Prometheus sees real
  data (process memory/uptime + live AI-analysis pipeline gauges) instead
  of an always-empty stub. bootstrap registers the pipeline collectors.
- systemd: MemoryMax 512M -> 1G (live RSS ~500MiB, peak 508MiB; 512M left
  ~2% headroom and risked an OOM-kill restart; host has 8GB free).
- config: POSTGRES_POOL_MIN 2 -> 0 so main + 4 Piscina worker threads don't
  hold ~10 permanently-open idle pg connections against PgBouncer.
- docs: rewrite stale ARCHITECTURE.md / MODULE_STRUCTURE.md (winston ->
  pino, removed mock-crc/indonesianTextNormalizer, renamed
  aiAnalysisWorker/llmModerationClient).

Verified: tsc clean, 129 vitest pass, biome clean on changed files.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-08-16 08:41:54 +07:00
asepharyana 9ae26b8ec9 refactor(llm): unify vision routing with text moderation and remove dedicated endpoint 2026-08-15 21:05:06 +07:00
asepharyana 7ebee7559d feat(llm): add disableThinking option for faster LLM analysis and update config 2026-08-15 20:52:53 +07:00
asepharyana 66c33a2657 feat(message-capture): add bot exclusion logic for message capture 2026-08-15 20:35:51 +07:00
asepharyana bcb563ea7f feat(vision): route multimodal analysis to dedicated NVIDIA direct endpoint
- config: add AI_LLM_VISION_BASE_URL + AI_LLM_VISION_API_KEY (separate from text router)
- llmClient: llmVision() now calls dedicated vision endpoint when configured
  (axios POST to integrate.api.nvidia.com, model nvidia/nemotron-3-nano-omni-30b-a3b-reasoning,
  reasoning_budget 16384, non-stream), falls back to router combo otherwise
- keeps text/moderation on omniroute, vision on NVIDIA direct
2026-08-15 14:31:53 +07:00
asepharyana d9f5592e6e feat(glossary): persist resolved definitions in Postgres + harden live SearXNG lookups
- Add term_glossary_cache table + migration 0014: resolved definitions are
  stored permanently (definitions rarely change); misses stay ephemeral in
  Redis/LRU with 1h TTL so transient failures get retried
- Lookup flow: LRU -> Redis -> Postgres (permanent) -> live SearXNG; DB hits
  re-warm the fast caches; stale Redis miss sentinels no longer shadow DB
- Rate-limit-aware live lookups: concurrency 2 + stagger, retry once on empty
  results, strict definition filter (Wikipedia preferred, rejects
  disambiguation/ads/translate-homepages)
- Make SEARXNG_BASE_URL configurable via env (default unchanged)
2026-08-12 14:22:22 +07:00
asepharyana f70a92880e feat(glossary): implement term glossary for LLM moderation with caching and extraction logic 2026-08-12 13:44:52 +07:00
asepharyana 185d81f0e0 feat(ai-moderation): reset offensive nickname instead of deleting message
When the ONLY violation is offensive_username (message content clean):
- Message is NOT deleted (nickname-only violation bypasses auto-delete)
- Member's server nickname is reset to default username via
  setNickname(null) (Discord shows the global username again)
- Action 'reset_nickname' logged to moderation_actions; cooldown
  10min per guild:user (LRU) so repeated messages by same member
  don't hammer the Discord PATCH
- Config: AUTO_NICKNAME_RESET_ENABLED / AUTO_NICKNAME_RESET_COOLDOWN_MS
2026-08-10 11:48:27 +07:00
asepharyana 4049ab4201 feat(ai-moderation): rich context + link media vision analysis
- Conversation context recency gates (GAP_MS/MAX_AGE_MS): drop stale
  messages before silence gaps; cold_start anchor + flow descriptor
  tells LLM whether conversation is ongoing or restarted
- [location] block: channel name, thread name, nsfw/age flags from
  captured metadata (thread names instead of bare IDs)
- Link media -> multimodal: text-batch URL fetches that resolve to
  images now run vision analysis (bounded 15s) and switch prompt to
  mixed mode; <web_content> gains og:title for page context
- pnpm-workspace.yaml: approve sharp build script (unblocks install)
2026-08-10 11:26:26 +07:00
Developer 6df4f306dd refactor: remove unused text analysis module and integrate Qdrant enhancements
Build & Deploy (Nix) / build-and-deploy (backend) (push) Successful in 2m30s
Build & Deploy (Nix) / build-and-deploy (discord-gateway) (push) Successful in 3m7s
Build & Deploy (Nix) / build-and-deploy (proxy) (push) Successful in 3m20s
- 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.
2026-07-31 23:09:00 +07:00
Developer fc475dfbb7 feat(automod): store semantic cache embeddings in Qdrant
Build & Deploy (Nix) / build-and-deploy (backend) (push) Successful in 3m7s
Build & Deploy (Nix) / build-and-deploy (discord-gateway) (push) Successful in 2m21s
Build & Deploy (Nix) / build-and-deploy (proxy) (push) Successful in 2m33s
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.
2026-07-31 21:30:43 +07:00
Developer 1249ae81d8 perf(automod): compress prompts ~40% + semantic cache via AI_LLM_EMBEDDING_MODEL
Build & Deploy (Nix) / build-and-deploy (backend) (push) Successful in 3m4s
Build & Deploy (Nix) / build-and-deploy (discord-gateway) (push) Successful in 2m29s
Build & Deploy (Nix) / build-and-deploy (proxy) (push) Successful in 2m33s
Prompt overhaul (token-frugal, same quality):
- rules.ts 28KB -> 10.3KB: every normative rule kept (safe lists, SARA
  6 kategori, LGBT/Israel zero tolerance, anti-evasion, decision tree,
  evasi hierarchy, image rules) with duplicated phrasing removed
- examples.ts 24.7KB -> 20KB: all 31 teaching examples kept; analysis
  strings shortened, redundant categories/policy_version dropped from
  example outputs (both optional in the response schema)
- output.ts 13.8KB -> 6.8KB: compressed schema + personality + format
  rules; CRITICAL bans on generic analysis and reply-context requirement
  retained
- system.ts: MEDIA_INSTRUCTIONS compressed, key rules kept

Semantic moderation cache (AI_LLM_EMBEDDING_MODEL):
- New embeddingClient.ts: OpenAI-compatible embeddings + cosine
  similarity; degrades gracefully when model/key unset
- textCacheStore: stores embedding JSON per verdict, findSimilarTextModeration
  reuses near-duplicate verdicts (min 0.97 cosine, processing locks skipped)
- moderationOrchestrator: after exact-hash miss, embed text-only targets
  and reuse stored verdict for near-duplicates -> skips expensive chat
  completion for spam variants; fresh verdicts written back with embedding
- Config: AI_LLM_EMBEDDING_MODEL / MIN_SIMILARITY (0.97) / MAX_CANDIDATES (30)
- Migration 0012: ADD COLUMN embedding to text_analysis_cache (idempotent)
- .env.example documents the new vars
2026-07-31 19:37:53 +07:00
Developer dcd13482c2 refactor: break monorepo into 3 standalone services (gateway, backend, frontend)
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
2026-07-30 11:50:48 +07:00