6 Commits

Include renames

Author	SHA1	Message	Date
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 ... - 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 ... 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 ... 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) ... - 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