refactor(ai): remove semantic embedding cache + Qdrant vector store

Hapus seluruh fitur embedding/Qdrant (tidak dipakai lagi): - gateway: drop embeddingClient.ts, qdrantClient.ts, archiveEmbedder.ts dan tes qdrantEnsure.test.ts; moderationOrchestrator kembali ke exact-hash cache -> LLM (tanpa phase-2 semantic lookup); textCacheStore kehilangan findSimilarTextModeration / parseQdrantVerdict / isSemanticBandAccepted / upsertBareKeyToQdrant; cache-prune hanya menyapu Postgres. - backend: drop embed.ts + qdrant.ts, endpoint messages.semanticSearch dan schema/type terkait; kolom embedding dilepas dari schema text_analysis_cache. - frontend: hapus toggle EXACT/SEMANTIC, hook useSemanticSearch, API client + tipe SemanticSearchResult. - config: buang AI_LLM_EMBEDDING_* dan QDRANT_* (env + .env.example). - docs: ARCHITECTURE.md / AGENTS.md / README.md / diagram arsitektur disesuaikan (LLM caller - vision, cache = exact-hash saja). Verifikasi: tsc 0 (backend, gateway, frontend); bun test 135 pass + 37 pass, 0 fail; biome 0 error.
fix(ci): replace leftover pnpm reference in gateway nativeBuildInputs with bun (build failure)
2026-09-25 01:38:51 +07:00 · 2026-09-25 00:47:56 +07:00 · 2026-09-25 00:38:10 +07:00 · 2026-09-24 23:50:30 +07:00 · 2026-09-24 14:48:31 +00:00 · 2026-09-24 14:45:56 +00:00
87 changed files with 2496 additions and 11845 deletions
@@ -64,11 +64,6 @@ AI_LLM_API_KEY=                        # REQUIRED if AI_ANALYSIS_ENABLED=true. L
 AI_LLM_BASE_URL=http://100.121.180.82:20128/api/v1  # LLM API base URL (omniroute — OpenAI-compatible router on imrnes, Tailscale 100.121.180.82)
 AI_LLM_MODEL=text                       # LLM text model name (default: text)
 # AI_LLM_VISION_MODEL=                   # Vision model for image analysis (falls back to AI_LLM_MODEL)
-# AI_LLM_EMBEDDING_MODEL=                # Embedding model for semantic moderation cache (optional; enables near-duplicate text reuse to save LLM calls)
-# AI_LLM_EMBEDDING_MIN_SIMILARITY=0.97   # Min cosine similarity to reuse a cached verdict (default: 0.97)
-QDRANT_URL=http://100.121.180.82:6333        # Qdrant vector store for embeddings (semantic cache); when set, vectors are stored/searched in Qdrant instead of Postgres
-# QDRANT_COLLECTION=gmw_text_moderation  # Qdrant collection name (default: gmw_text_moderation)
-# QDRANT_API_KEY=                        # Qdrant API key (optional)
 AI_LLM_MAX_CONCURRENT=5                 # Max concurrent LLM API calls (default: 5)
 AI_LLM_IMAGE_MAX_DIMENSION=1024         # Max image dimension in pixels before resize (default: 1024)
 AI_LLM_TEXT_BATCH_SIZE=20               # Max messages per text-only moderation batch (default: 20)
@@ -32,29 +32,26 @@ jobs:
        with:
          node-version: 22

-      - name: Install pnpm
-        run: corepack enable && corepack prepare pnpm@11 --activate
+      - name: Setup Bun
+        uses: oven-sh/setup-bun@v2
+        with:
+          bun-version: 1.3.14

-      - name: Install deps (backend)
-        working-directory: services/backend
-        run: pnpm install --ignore-scripts --no-frozen-lockfile
-
-      - name: Typecheck + test (backend)
+      - name: Install deps + test (backend)
        working-directory: services/backend
        run: |
+          bun install --frozen-lockfile
          ./node_modules/.bin/tsc --noEmit
-          # e2e.test.ts requires a live backend (API_BASE) — run unit tests only
-          ./node_modules/.bin/vitest run --exclude "src/e2e.test.ts"
+          # src/e2e.test.ts requires a live backend (API_BASE) — unit tests
+          # live in tests/ and are excluded by the bun test dir.
+          bun test tests/

-      - name: Install deps (discord-gateway)
-        working-directory: services/discord-gateway
-        run: pnpm install --ignore-scripts --no-frozen-lockfile
-
-      - name: Typecheck + test (discord-gateway)
+      - name: Install deps + test (discord-gateway)
        working-directory: services/discord-gateway
        run: |
+          bun install --frozen-lockfile
          ./node_modules/.bin/tsc --noEmit
-          ./node_modules/.bin/vitest run
+          bun test tests/

      - name: Biome check (all services)
        run: |
@@ -6,12 +6,12 @@ GMW (Guild Moderation Watcher) is a Discord bot + web dashboard for AI-powered m

 ```bash
 # Per-service — cd into the service first
-pnpm install              # install deps (pnpm 11, not npm or bun)
-pnpm typecheck            # tsc --noEmit
-pnpm lint                 # biome check
-pnpm format               # biome format --write
-pnpm build                # gateway/backend: tsc + fix-imports.mjs; frontend: next build
-pnpm test                 # vitest run (gateway & backend only — frontend has no tests)
+bun install              # install deps (bun 1.3.14, not pnpm/npm)
+bun typecheck            # tsc --noEmit
+bun lint                 # biome check
+bun format               # biome format --write
+bun build                # gateway/backend: tsc + fix-imports.mjs; frontend: next build
+bun test                 # bun test tests/ (gateway & backend only — frontend has no tests)
 ```

 No monorepo-level scripts exist. Run each command from inside the service directory.
@@ -40,18 +40,19 @@ services/
 │
 └── frontend/          Next.js 16 App Router, React 19, Tailwind v4 (:4017).
    ├── src/
-    │   ├── app/            Pages — route groups under (dashboard)/
+    │   ├── src/            Pages — route groups under (dashboard)/
    │   ├── components/     UI components (primitives, shell, charts, etc.)
    │   ├── hooks/          React hooks
    │   └── lib/            API clients, types, utils, WebSocket, audio
-    └── pnpm-workspace.yaml  Build-script approvals (sharp only)
-```
+    ```

-## Conventions
+    ## Conventions

-### Package manager & runtime
+    ### Package manager & runtime

- **pnpm** (v11), not npm or bun. Lockfiles are committed. Node ≥ 22.
+    - **bun** (v1.3.14), package manager + test runner. Lockfiles (`bun.lock`) are committed. Node 22 is still used at runtime for the tsc-built `dist/` (via `fix-imports.mjs`), plus bun for dev/install/test. Bun is NOT the production runtime for gateway/backend — the Nix wrapper execs `node dist/index.js` — so native modules resolve against the Node ABI (e.g. `@discordjs/opus` prebuilds for node-v127).
+    - ESM throughout (`"type": "module"` in all package.json files).
+    - Test runner: **bun test** (`bun test tests/`). The old vitest configs are replaced by `bunfig.toml` `[test] preload = ["./tests/setup-env.ts"]` — note bun 1.3.14 **ignores `[test] env`**, so env vars for tests go in the preload file. Bun's jest-compat layer aliases most vitest APIs (`vi.fn`→`jest.fn`, `vi.useFakeTimers`→`jest.useFakeTimers`, `vi.spyOn`→`spyOn`, `vi.mock`→`mock.module`), but there is no `vi.waitFor` or `jest` global — use the small `waitForCompat` helper in `teLine truncated
 - ESM throughout (`"type": "module"` in all package.json files).

 ### Import style
@@ -14,7 +14,7 @@
    { "id": "gateway", "type": "backend", "label": "discord-gateway", "sublabel": "selfbot :4016", "pos": [260, 240], "size": [140, 60], "tag": "discord.js-selfbot-v13" },
    { "id": "backend", "type": "backend", "label": "gmw-backend", "sublabel": "Express · oRPC · WS :4001", "pos": [640, 240], "size": [140, 60], "tag": "Drizzle ORM" },
    { "id": "proxy", "type": "cloud", "label": "nginx proxy", "sublabel": "reverse proxy :4009", "pos": [960, 240], "size": [140, 60], "tag": "nginx" },
-    { "id": "ai", "type": "backend", "label": "AI Moderation", "sublabel": "LLM caller · embeddings", "pos": [260, 400], "size": [140, 60] },
+    { "id": "ai", "type": "backend", "label": "AI Moderation", "sublabel": "LLM caller · vision", "pos": [260, 400], "size": [140, 60] },
    { "id": "frontend", "type": "frontend", "label": "gmw-frontend", "sublabel": "Next.js 16 SSR :4017", "pos": [960, 400], "size": [140, 60], "tag": "React 19 · Tailwind v4" },
    { "id": "llm", "type": "cloud", "label": "9router LLM", "sublabel": "text + vision API", "pos": [260, 540], "size": [140, 60], "tag": "AI_LLM_BASE_URL" },
    { "id": "browser", "type": "external", "label": "Dashboard Users", "sublabel": "browser · partysocket", "pos": [960, 540], "size": [140, 60] }
@@ -35,9 +35,11 @@

        # ---- Shared build tools ----
        nodejs = pkgs.nodejs_22;
-        pnpm = pkgs.pnpm.override { nodejs = nodejs; };
+        # Bun for deps/install (replaces pnpm); keeps nodejs for the tsc +
+        # fix-imports.mjs build path (Bun's own bundler is not used for dist).
+        bun = pkgs.bun;

-        pnpmInstall = ''
+        bunInstall = ''
          export HOME=$TMPDIR/home
          export npm_config_cache=$TMPDIR/npm-cache
          mkdir -p $npm_config_cache
@@ -48,15 +50,9 @@
          export GIT_SSL_CAINFO=${pkgs.cacert}/etc/ssl/certs/ca-bundle.crt
          export NIX_SSL_CERT_FILE=${pkgs.cacert}/etc/ssl/certs/ca-bundle.crt

-          # pnpm uses node-gyp for native addons — provide build tools (kept for
-          # the rare case a prebuilt is unavailable and it falls back to compile).
-          export CPPFLAGS="-I${pkgs.lib.getDev pkgs.openssl}/include"
-          export LDFLAGS="-L${pkgs.lib.getLib pkgs.openssl}/lib"
-
-          pnpm install --no-frozen-lockfile --ignore-scripts 2>&1
-
-          # Build native addons that need compilation
-          pnpm rebuild 2>&1 || true
+          # Build native addons (bun install runs postinstall scripts for
+          # @discordjs/opus / sharp unless trustedDependencies restricts).
+          bun install 2>&1
        '';

        # Shrink the shipped node_modules to production deps only. The full
@@ -74,28 +70,15 @@
        # Must run AFTER tsc (typescript is a devDep) and after native builds.
        pruneProd = ''
          echo "=== Pruning devDependencies (production-only node_modules) ==="
-          pnpm list --prod --depth 999 --parseable 2>/dev/null \
-            | grep -o '\.pnpm/[^/]*' | sort -u > $TMPDIR/prod-pnms.txt
-          ( cd node_modules/.pnpm \
-              && for d in */; do \
-                   d="''${d%/}"; \
-                   [ "$d" = "node_modules" ] && continue; \
-                   grep -qF ".pnpm/$d" $TMPDIR/prod-pnms.txt || rm -rf "$d"; \
-                 done ) || true
-          # Drop runtime-dead packages that still land in the prod graph:
-          #   - `@types/*` (pure TypeScript declarations) get pulled in as
-          #     REAL dependencies by type-aware deps (discord-api-types ->
-          #     @types/node, pg-protocol -> @types/pg, ...) even though nothing
-          #     ever `require`s them at runtime. Safe to strip.
-          #   - `opusscript` is only a pure-JS fallback Opus engine that
-          #     prism-media's loader uses IF `@discordjs/opus` (native, always
-          #     present/prebuilt) fails to load. Since the native engine loads,
-          #     opusscript is never executed — dead weight pulled in via
-          #     discord.js-selfbot-v13's dependency. Strip it too.
-          ( cd node_modules/.pnpm && rm -rf @types+* opusscript@* 2>/dev/null ) || true
-          # Drop symlinks whose .pnpm target was pruned (top-level, scoped dirs,
-          # hoist, .bin — any depth). Mirrors stdenv's noBrokenSymlinks check,
-          # which would otherwise fail the fixupPhase.
+          # bun install's layout: node_modules/<pkg> for prod deps; devDeps are
+          # also present during build (needed for tsc). Keep only what the prod
+          # graph needs: simplest robust approach is `bun install --production`
+          # semantics — but bun keeps the same flat layout; since the Nix build
+          # already ran `bun install` (full, scripts on), prune dev-only top
+          # entries that were only pulled by devDeps (typescript, biome, vitest,
+          # drizzle-kit, tsx, @types/*).
+          find node_modules -maxdepth 2 -type d \( -name 'typescript' -o -name '@biomejs' -o -name 'vitest' -o -name 'drizzle-kit' -o -name 'tsx' -o -name 'esbuild' \) -prune -exec rm -rf {} + 2>/dev/null || true
+          rm -rf node_modules/.bin/tsc node_modules/.bin/vitest node_modules/.bin/biome node_modules/.bin/drizzle-kit 2>/dev/null || true
          find node_modules -type l ! -exec test -e {} \; -delete 2>/dev/null || true
          du -sh node_modules
        '';
@@ -107,11 +90,11 @@

          src = ./services/backend;

-          nativeBuildInputs = [ nodejs pnpm pkgs.python3 pkgs.gnumake pkgs.gcc pkgs.cacert ];
+          nativeBuildInputs = [ nodejs bun pkgs.python3 pkgs.gnumake pkgs.gcc pkgs.cacert ];

-          buildPhase = pnpmInstall + ''
+          buildPhase = bunInstall + ''
            echo "=== Compiling TypeScript ==="
-            npx tsc 2>&1
+            ./node_modules/.bin/tsc 2>&1
            echo "=== Fixing @/ path aliases + extensionless relative imports for node ESM ==="
            node scripts/fix-imports.mjs
            echo "=== Build complete ==="
@@ -149,7 +132,7 @@ WRAPPER
          # libvips download), so no cmake or rust toolchain is needed.
          # python3/gnumake/gcc stay as node-gyp fallback for @discordjs/opus.
          nativeBuildInputs = [
-            nodejs pnpm
+            nodejs bun
            pkgs.python3 pkgs.gnumake pkgs.gcc
            pkgs.pkg-config
            pkgs.openssl
@@ -177,22 +160,11 @@ WRAPPER
          # neither needed nor wanted here. Skip it entirely.
          dontFixup = true;

-          buildPhase = pnpmInstall + ''
-            echo "=== Building native voice deps ==="
-            # pnpm rebuild aborts on the first failing package and runs scripts
-            # from the wrong cwd — build each native dep explicitly with its own
-            # install script. Each failure is tolerated (|| true); the packages
-            # @discordjs/opus ships prebuilt binaries for Node 22 (ABI node-v127,
-            # linux-x64-glibc-2.35) — node-pre-gyp downloads the prebuilt .node
-            # instead of compiling C++ from source. With build_from_source unset
-            # (above), `pnpm rebuild` runs the package's own install script which
-            # fetches the matching prebuilt; it only falls back to a source build
-            # if the download fails. This keeps voice working without a per-build
-            # native compile.
+          buildPhase = bunInstall + ''
            echo "=== Rebuilding @discordjs/opus (prebuilt download) ==="
-            pnpm rebuild @discordjs/opus 2>&1 || true
+            bun pm rebuild @discordjs/opus 2>&1 || true
            echo "=== Compiling TypeScript ===="
-            npx tsc 2>&1
+            ./node_modules/.bin/tsc 2>&1
            echo "=== Fixing @/ path aliases + extensionless relative imports for node ESM ==="
            node scripts/fix-imports.mjs
            echo "=== Build complete ==="
@@ -228,13 +200,13 @@ WRAPPER

          src = frontendSrc;

-          nativeBuildInputs = [ nodejs pnpm pkgs.gnumake pkgs.gcc pkgs.cacert ];
+          nativeBuildInputs = [ nodejs bun pkgs.gnumake pkgs.gcc pkgs.cacert ];

-          buildPhase = pnpmInstall + ''
+          buildPhase = bunInstall + ''
            echo "=== Building Next.js SSR (standalone) ==="
            export NEXT_TELEMETRY_DISABLED=1
            export GMW_BACKEND_URL=http://127.0.0.1:4001
-            npx next build 2>&1
+            ./node_modules/.bin/next build 2>&1
          '';

          installPhase = ''
@@ -312,13 +284,13 @@ WRAPPER

        devShells.default = pkgs.mkShell {
          buildInputs = [
-            nodejs pnpm
+            nodejs bun
            pkgs.python3 pkgs.gnumake pkgs.gcc
            pkgs.rustc pkgs.cargo
            pkgs.ffmpeg-headless
          ];
          shellHook = ''
-            echo "GMW dev shell ready — node $(node --version), pnpm $(pnpm --version)"
+            echo "GMW dev shell ready — node $(node --version), bun $(bun --version)"
          '';
        };
      });
@@ -60,7 +60,7 @@ src/
 | moderation | Moderation actions & metrics | `ai_moderations`, `moderation_actions` |
 | media | Media file management | `media_attachments` |
 | dashboard | Stats aggregation | Various (read-only) |
-| knowledge | Semantic search | Qdrant vector DB |
+| knowledge | Channel cultures & glossary browser | `channel_cultures`, `term_glossary_cache` |
 | chatbot | AI chatbot with tools | `chatbot_history` |
 | health | Health checks + metrics | Various |
 | analysis | Text analysis cache | `text_analysis_cache` |
@@ -0,0 +1,460 @@
+{
+  "lockfileVersion": 1,
+  "configVersion": 1,
+  "workspaces": {
+    "": {
+      "name": "discord-moderation-backend",
+      "dependencies": {
+        "@orpc/server": "1.15.3",
+        "axios": "^1.20.0",
+        "dotenv": "^18.0.1",
+        "drizzle-orm": "^0.45.3",
+        "express": "^5.2.1",
+        "helmet": "^8.1.0",
+        "ioredis": "^6.0.0",
+        "pg": "^8.23.0",
+        "pino": "^10.3.1",
+        "prom-client": "^15.1.3",
+        "ws": "^8.21.3",
+        "zod": "^4.6.5",
+      },
+      "devDependencies": {
+        "@biomejs/biome": "^2.5.14",
+        "@types/bun": "latest",
+        "@types/express": "^5.0.6",
+        "@types/node": "^26.6.2",
+        "@types/pg": "^8.23.1",
+        "@types/ws": "^8.18.1",
+        "tsx": "^4.23.15",
+        "typescript": "^7.0.2",
+      },
+    },
+  },
+  "packages": {
+    "@biomejs/biome": ["@biomejs/biome@2.5.14", "", { "optionalDependencies": { "@biomejs/cli-darwin-arm64": "2.5.14", "@biomejs/cli-darwin-x64": "2.5.14", "@biomejs/cli-linux-arm64": "2.5.14", "@biomejs/cli-linux-arm64-musl": "2.5.14", "@biomejs/cli-linux-x64": "2.5.14", "@biomejs/cli-linux-x64-musl": "2.5.14", "@biomejs/cli-win32-arm64": "2.5.14", "@biomejs/cli-win32-x64": "2.5.14" }, "bin": { "biome": "bin/biome" } }, "sha512-0FabLIjd4M/dm8VFI86RMaLLdgepzbdfiAL2R8cr7V81OYYrP1w7Z73KfAwPK5h9SrLine truncated
+
+    "@biomejs/cli-darwin-arm64": ["@biomejs/cli-darwin-arm64@2.5.14", "", { "os": "darwin", "cpu": "arm64" }, "sha512-UnzaXO65L4tsZimFITFP2M121GyhDcWFrT3pL5ZJ5U4XcS/0L5VHYytVohdCf/gnDUFHgl2I9xnt5bV/J1kxHQ=="],
+
+    "@biomejs/cli-darwin-x64": ["@biomejs/cli-darwin-x64@2.5.14", "", { "os": "darwin", "cpu": "x64" }, "sha512-kiy8qA16K93J7uvFfWi4LgjqDpnRKyePAna6A0Y4jxyUga35SYpIZ2cNWlhy0lsfgqRenCpfymnJWEZ6mgpRgA=="],
+
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+
+    "@biomejs/cli-linux-arm64-musl": ["@biomejs/cli-linux-arm64-musl@2.5.14", "", { "os": "linux", "cpu": "arm64" }, "sha512-SJ9PrZkBnnH9dHJDnxk34vKs0GB2dbsioaft6/hPhWJ7AHpwYH83Isnhj0FSRpFkGgpVfJ1lds23ApB2czUDLQ=="],
+
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+
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+
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+    "on-finished": ["on-finished@2.4.1", "", { "dependencies": { "ee-first": "1.1.1" } }, "sha512-oVlzkg3ENAhCk2zdv7IJwd/QUD4z2RxRwpkcGY8psCVcCYZNq4wYnVWALHM+brtuJjePWiYF/ClmuDr8Ch5+kg=="],
+
+    "once": ["once@1.4.0", "", { "dependencies": { "wrappy": "1.0.2" } }, "sha512-lNaJgI+2Q5URQBkccEKHTQOPaXdUxnZZElQTZY0MFUAuaEqe1E+Nyvgdz/aIyNi6Z9MzO5dv1H8n58/GELp3+w=="],
+
+    "openapi-types": ["openapi-types@12.1.3", "", {}, "sha512-N4YtSYJqghVu4iek2ZUvcN/0aqH1kRDuNqzcycDxhOUpg7GdvLa2F3DgS6yBNhInhv2r/6I0Flkn7CqL8+nIcw=="],
+
+    "parseurl": ["parseurl@1.3.3", "", {}, "sha512-CiyeOxFT/JZyN5m0z9PfXw4SCBJ6Sygz1Dpl0wqjlhDEGGBP1GnsUVEL0p63hoG1fcj3fHynXi9NYO4nWOL+qQ=="],
+
+    "path-to-regexp": ["path-to-regexp@8.4.2", "", {}, "sha512-qRcuIdP69NPm4qbACK+aDogI5CBDMi1jKe0ry5rSQJz8JVLsC7jV8XpiJjGRLLol3N+R5ihGYcrPLTno6pAdBA=="],
+
+    "pg": ["pg@8.23.0", "", { "dependencies": { "pg-connection-string": "2.14.0", "pg-pool": "3.14.0", "pg-protocol": "1.16.0", "pg-types": "2.2.0", "pgpass": "1.0.5" }, "optionalDependencies": { "pg-cloudflare": "1.4.0" } }, "sha512-Ip2EQCngowJLGOfCwkFhPXU7/ljlhn6Rxlmy4XYfL2Y+vyRM59+8uR2xqRWKdYmbXmxCFOAmKxBuSUCdF34qLg=="],
+
+    "pg-cloudflare": ["pg-cloudflare@1.4.0", "", {}, "sha512-Vo7z/6rrQYxpNRylp4Tlob2elzbh+N/MOQbxFVWCxS7oEx6jF53GTJFxK2WWpKuBRkmiin4Mt+xofFDjx09R0A=="],
+
+    "pg-connection-string": ["pg-connection-string@2.14.0", "", {}, "sha512-XwWDGcLRGCXAR8F/AM5bG7Q+A3Wm2s6QeEjlOKZLlH3UYcguiqCWKyWXVag5TLTIjR7oOJUY8kcADaZgWPyLeg=="],
+
+    "pg-int8": ["pg-int8@1.0.1", "", {}, "sha512-WCtabS6t3c8SkpDBUlb1kjOs7l66xsGdKpIPZsg4wR+B3+u9UAum2odSsF9tnvxg80h4ZxLWMy4pRjOsFIqQpw=="],
+
+    "pg-pool": ["pg-pool@3.14.0", "", { "peerDependencies": { "pg": "8.23.0" } }, "sha512-gKtPkFdQPU3DksooVLi9LsjZxrsBUZIpa+7aVx+LV5pNh0KzP4Zleud2po+ConrxbuXGBJ6Hfer6hdgpIBpBaw=="],
+
+    "pg-protocol": ["pg-protocol@1.16.0", "", {}, "sha512-sILXutLVjCLjcDuOmvhX5e2Z4cS5qG/6Bu3VkpFwdf/633ElGLpEh9bgmuI5I4sqKqkifQiGyiCcx1HdtrK7tg=="],
+
+    "pg-types": ["pg-types@2.2.0", "", { "dependencies": { "pg-int8": "1.0.1", "postgres-array": "2.0.0", "postgres-bytea": "1.0.1", "postgres-date": "1.0.7", "postgres-interval": "1.2.0" } }, "sha512-qTAAlrEsl8s4OiEQY69wDvcMIdQN6wdz5ojQiOy6YRMuynxenON0O5oCpJI6lshc6scgAY8qvJ2On/p+CXY0GA=="],
+
+    "pgpass": ["pgpass@1.0.5", "", { "dependencies": { "split2": "4.2.0" } }, "sha512-FdW9r/jQZhSeohs1Z3sI1yxFQNFvMcnmfuj4WBMUTxOrAyLMaTcE1aAMBiTlbMNaXvBCQuVi0R7hd8udDSP7ug=="],
+
+    "pino": ["pino@10.3.1", "", { "dependencies": { "@pinojs/redact": "0.4.0", "atomic-sleep": "1.0.0", "on-exit-leak-free": "2.1.2", "pino-abstract-transport": "3.0.0", "pino-std-serializers": "7.1.0", "process-warning": "5.1.0", "quick-format-unescaped": "4.0.4", "real-require": "0.2.0", "safe-stable-stringify": "2.5.0", "sonic-boom": "4.2.1", "thread-stream": "4.2.0" }, "bin": { "pino": "bin.js" } }, "sha512-r34yH/GlQpKZbU1BvFFqOjhISRo1MNx1tWYsYvmj6KIRHSPMT2+yHOEb1SG6NMvRoHRF0a07kCOox/9yakl1Line truncated
+
+    "pino-abstract-transport": ["pino-abstract-transport@3.0.0", "", { "dependencies": { "split2": "4.2.0" } }, "sha512-wlfUczU+n7Hy/Ha5j9a/gZNy7We5+cXp8YL+X+PG8S0KXxw7n/JXA3c46Y0zQznIJ83URJiwy7Lh56WLokNuxg=="],
+
+    "pino-std-serializers": ["pino-std-serializers@7.1.0", "", {}, "sha512-BndPH67/JxGExRgiX1dX0w1FvZck5Wa4aal9198SrRhZjH3GxKQUKIBnYJTdj2HDN3UQAS06HlfcSbQj2OHmaw=="],
+
+    "postgres-array": ["postgres-array@2.0.0", "", {}, "sha512-VpZrUqU5A69eQyW2c5CA1jtLecCsN2U/bD6VilrFDWq5+5UIEVO7nazS3TEcHf1zuPYO/sqGvUvW62g86RXZuA=="],
+
+    "postgres-bytea": ["postgres-bytea@1.0.1", "", {}, "sha512-5+5HqXnsZPE65IJZSMkZtURARZelel2oXUEO8rH83VS/hxH5vv1uHquPg5wZs8yMAfdv971IU+kcPUczi7NVBQ=="],
+
+    "postgres-date": ["postgres-date@1.0.7", "", {}, "sha512-suDmjLVQg78nMK2UZ454hAG+OAW+HQPZ6n++TNDUX+L0+uUlLywnoxJKDou51Zm+zTCjrCl0Nq6J9C5hP9vK/Q=="],
+
+    "postgres-interval": ["postgres-interval@1.2.0", "", { "dependencies": { "xtend": "4.0.2" } }, "sha512-9ZhXKM/rw350N1ovuWHbGxnGh/SNJ4cnxHiM0rxE4VN41wsg8P8zWn9hv/buK00RP4WvlOyr/RBDiptyxVbkZQ=="],
+
+    "process-warning": ["process-warning@5.1.0", "", {}, "sha512-jQSaVHsPgtyw60e1rQ/A+/ArPEj/S8pS/vFnyGa/gYFXrKk/6RuDkoqVDQ5NI5MmS01698ltlAk0NoDBNLujRw=="],
+
+    "prom-client": ["prom-client@15.1.3", "", { "dependencies": { "@opentelemetry/api": "1.9.1", "tdigest": "0.1.2" } }, "sha512-6ZiOBfCywsD4k1BN9IX0uZhF+tJkV8q8llP64G5Hajs4JOeVLPCwpPVcpXy3BwYiUGgyJzsJJQeOIv7+hDSq8g=="],
+
+    "proxy-addr": ["proxy-addr@2.0.7", "", { "dependencies": { "forwarded": "0.2.0", "ipaddr.js": "1.9.1" } }, "sha512-llQsMLSUDUPT44jdrU/O37qlnifitDP+ZwrmmZcoSKyLKvtZxpyV0n2/bD/N4tBAAZ/gJEdZU7KMraoK1+XYAg=="],
+
+    "proxy-from-env": ["proxy-from-env@2.1.0", "", {}, "sha512-cJ+oHTW1VAEa8cJslgmUZrc+sjRKgAKl3Zyse6+PV38hZe/V6Z14TbCuXcan9F9ghlz4QrFr2c92TNF82UkYHA=="],
+
+    "qs": ["qs@6.15.3", "", { "dependencies": { "es-define-property": "1.0.1", "side-channel": "1.1.1" } }, "sha512-O9gl3zCl5h5blw1KGUzQKhA5oUXSl8rwUIM5o0S3nCXMliSvy5Dzx7/DJcI+SwgICv+IneSZwhBh1oSyEHA71A=="],
+
+    "quick-format-unescaped": ["quick-format-unescaped@4.0.4", "", {}, "sha512-tYC1Q1hgyRuHgloV/YXs2w15unPVh8qfu/qCTfhTYamaw7fyhumKa2yGpdSo87vY32rIclj+4fWYQXUMs9EHvg=="],
+
+    "radash": ["radash@12.1.1", "", {}, "sha512-h36JMxKRqrAxVD8201FrCpyeNuUY9Y5zZwujr20fFO77tpUtGa6EZzfKw/3WaiBX95fq7+MpsuMLNdSnORAwSA=="],
+
+    "range-parser": ["range-parser@1.3.0", "", {}, "sha512-hek2mFQpPuI4E1BBKrSto+BU3e3x4xuarsbiwr3+lf7p44juvFMV0XFWQAP3xUyqXA4RrXLIoaSUGbSt056ZMw=="],
+
+    "raw-body": ["raw-body@3.0.2", "", { "dependencies": { "bytes": "3.1.2", "http-errors": "2.0.1", "iconv-lite": "0.7.3", "unpipe": "1.0.0" } }, "sha512-K5zQjDllxWkf7Z5xJdV0/B0WTNqx6vxG70zJE4N0kBs4LovmEYWJzQGxC9bS9RAKu3bgM40lrd5zoLJ12MQ5BA=="],
+
+    "real-require": ["real-require@0.2.0", "", {}, "sha512-57frrGM/OCTLqLOAh0mhVA9VBMHd+9U7Zb2THMGdBUoZVOtGbJzjxsYGDJ3A9AYYCP4hn6y1TVbaOfzWtm5GFg=="],
+
+    "redis-errors": ["redis-errors@1.2.0", "", {}, "sha512-1qny3OExCf0UvUV/5wpYKf2YwPcOqXzkwKKSmKHiE6ZMQs5heeE/c8eXK+PNllPvmjgAbfnsbpkGZWy8cBpn9w=="],
+
+    "router": ["router@2.2.0", "", { "dependencies": { "debug": "4.4.3", "depd": "2.0.0", "is-promise": "4.0.0", "parseurl": "1.3.3", "path-to-regexp": "8.4.2" } }, "sha512-nLTrUKm2UyiL7rlhapu/Zl45FwNgkZGaCpZbIHajDYgwlJCOzLSk+cIPAnsEqV955GjILJnKbdQC1nVPz+gAYQ=="],
+
+    "safe-stable-stringify": ["safe-stable-stringify@2.5.0", "", {}, "sha512-b3rppTKm9T+PsVCBEOUR46GWI7fdOs00VKZ1+9c1EWDaDMvjQc6tUwuFyIprgGgTcWoVHSKrU8H31ZHA2e0RHA=="],
+
+    "safer-buffer": ["safer-buffer@2.1.2", "", {}, "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="],
+
+    "send": ["send@1.2.1", "", { "dependencies": { "debug": "4.4.3", "encodeurl": "2.0.0", "escape-html": "1.0.3", "etag": "1.8.1", "fresh": "2.0.0", "http-errors": "2.0.1", "mime-types": "3.0.2", "ms": "2.1.3", "on-finished": "2.4.1", "range-parser": "1.3.0", "statuses": "2.0.2" } }, "sha512-1gnZf7DFcoIcajTjTwjwuDjzuz4PPcY2StKPlsGAQ1+YH20IRVrBaXSWmdjowTJ6u8Rc01PoYOGHXfP1mYcZNQ=="],
+
+    "serve-static": ["serve-static@2.2.1", "", { "dependencies": { "encodeurl": "2.0.0", "escape-html": "1.0.3", "parseurl": "1.3.3", "send": "1.2.1" } }, "sha512-xRXBn0pPqQTVQiC8wyQrKs2MOlX24zQ0POGaj0kultvoOCstBQM5yvOhAVSUwOMjQtTvsPWoNCHfPGwaaQJhTw=="],
+
+    "setprototypeof": ["setprototypeof@1.2.0", "", {}, "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw=="],
+
+    "side-channel": ["side-channel@1.1.1", "", { "dependencies": { "es-errors": "1.3.0", "object-inspect": "1.13.4", "side-channel-list": "1.0.1", "side-channel-map": "1.0.1", "side-channel-weakmap": "1.0.2" } }, "sha512-6x6dK6zJdpTzF4sQeNYxwtvBzf6Eg4GtlesS94HOvTudUeyK2WXAaIfmDgsyslYrRBeFIlsi54AYsFGUuhmvrQ=="],
+
+    "side-channel-list": ["side-channel-list@1.0.1", "", { "dependencies": { "es-errors": "1.3.0", "object-inspect": "1.13.4" } }, "sha512-mjn/0bi/oUURjc5Xl7IaWi/OJJJumuoJFQJfDDyO46+hBWsfaVM65TBHq2eoZBhzl9EchxOijpkbRC8SVBQU0w=="],
+
+    "side-channel-map": ["side-channel-map@1.0.1", "", { "dependencies": { "call-bound": "1.0.4", "es-errors": "1.3.0", "get-intrinsic": "1.3.0", "object-inspect": "1.13.4" } }, "sha512-VCjCNfgMsby3tTdo02nbjtM/ewra6jPHmpThenkTYh8pG9ucZ/1P8So4u4FGBek/BjpOVsDCMoLA/iuBKIFXRA=="],
+
+    "side-channel-weakmap": ["side-channel-weakmap@1.0.2", "", { "dependencies": { "call-bound": "1.0.4", "es-errors": "1.3.0", "get-intrinsic": "1.3.0", "object-inspect": "1.13.4", "side-channel-map": "1.0.1" } }, "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A=="],
+
+    "sonic-boom": ["sonic-boom@4.2.1", "", { "dependencies": { "atomic-sleep": "1.0.0" } }, "sha512-w6AxtubXa2wTXAUsZMMWERrsIRAdrK0Sc+FUytWvYAhBJLyuI4llrMIC1DtlNSdI99EI86KZum2MMq3EAZlF9Q=="],
+
+    "split2": ["split2@4.2.0", "", {}, "sha512-UcjcJOWknrNkF6PLX83qcHM6KHgVKNkV62Y8a5uYDVv9ydGQVwAHMKqHdJje1VTWpljG0WYpCDhrCdAOYH4TWg=="],
+
+    "standard-as-callback": ["standard-as-callback@2.1.0", "", {}, "sha512-qoRRSyROncaz1z0mvYqIE4lCd9p2R90i6GxW3uZv5ucSu8tU7B5HXUP1gG8pVZsYNVaXjk8ClXHPttLyxAL48A=="],
+
+    "statuses": ["statuses@2.0.2", "", {}, "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw=="],
+
+    "tagged-tag": ["tagged-tag@1.0.0", "", {}, "sha512-yEFYrVhod+hdNyx7g5Bnkkb0G6si8HJurOoOEgC8B/O0uXLHlaey/65KRv6cuWBNhBgHKAROVpc7QyYqE5gFng=="],
+
+    "tdigest": ["tdigest@0.1.2", "", { "dependencies": { "bintrees": "1.0.2" } }, "sha512-+G0LLgjjo9BZX2MfdvPfH+MKLCrxlXSYec5DaPYP1fe6Iyhf0/fSmJ0bFiZ1F8BT6cGXl2LpltQptzjXKWEkKA=="],
+
+    "thread-stream": ["thread-stream@4.2.0", "", { "dependencies": { "real-require": "1.0.0" } }, "sha512-e2zZ96wSChazBsbENf/Pcm/4swHt2cEKQ92rhUjkL9GCKiTDJIaTBenjE/m9DXi0QBmTMDkFDdOomUy20A1tDQ=="],
+
+    "toidentifier": ["toidentifier@1.0.1", "", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],
+
+    "tsx": ["tsx@4.23.15", "", { "dependencies": { "esbuild": "0.28.2" }, "optionalDependencies": { "fsevents": "2.3.3" }, "bin": { "tsx": "dist/cli.mjs" } }, "sha512-Yiex1Ovn8z2xPpOWckIiysV1SSyRMY9BkLF++q0yKiDxCqRhosKfMg3janKkiLBwZ5c/YryloKwGZcrEmtwxKw=="],
+
+    "type-fest": ["type-fest@5.10.0", "", { "dependencies": { "tagged-tag": "1.0.0" } }, "sha512-NoSdpq/WEiAg5sjmBkmV/hfxv6HJH4NqPNrqjtSO5CwRmpsDfaf4begxW34KdJykH/l1yHtwBWQkCRdoXO8mPA=="],
+
+    "type-is": ["type-is@2.1.0", "", { "dependencies": { "content-type": "2.0.0", "media-typer": "1.1.1", "mime-types": "3.0.2" } }, "sha512-faYHw0anBbc/kWF3zFTEnxSFOAGUX9GFbOBthvDdLsIlEoWOFOtS0zgCiQYwIskL9iGXZL3kAXD8OoZ4GmMATA=="],
+
+    "typescript": ["typescript@7.0.2", "", { "optionalDependencies": { "@typescript/typescript-aix-ppc64": "7.0.2", "@typescript/typescript-darwin-arm64": "7.0.2", "@typescript/typescript-darwin-x64": "7.0.2", "@typescript/typescript-freebsd-arm64": "7.0.2", "@typescript/typescript-freebsd-x64": "7.0.2", "@typescript/typescript-linux-arm": "7.0.2", "@typescript/typescript-linux-arm64": "7.0.2", "@typescript/typescript-linux-loong64": "7.0.2", "@typescript/typescript-linux-mips64el": "7.0.2", "@Line truncated
+
+    "undici-types": ["undici-types@8.9.0", "", {}, "sha512-KTDyRTYX8sWmKXAikPHHSyc63CRPETMctyjKFupcC6OBLXT3xsN0e9aF7m+mIXutFWpUXuedtowG7iLOzp0kQg=="],
+
+    "unpipe": ["unpipe@1.0.0", "", {}, "sha512-pjy2bYhSsufwWlKwPc+l3cN7+wuJlK6uz0YdJEOlQDbl6jo/YlPi4mb8agUkVC8BF7V8NuzeyPNqRksA3hztKQ=="],
+
+    "vary": ["vary@1.1.2", "", {}, "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg=="],
+
+    "wrappy": ["wrappy@1.0.2", "", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
+
+    "ws": ["ws@8.21.3", "", {}, "sha512-201TZ/kPWxoPr/OKWjquZR1SWKXcvxdH+e1xrx89b3YbmzLMFCLfnaG1HFIgWzJOEWZ7MvpK++odZufgYR50Rw=="],
+
+    "xtend": ["xtend@4.0.2", "", {}, "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ=="],
+
+    "zod": ["zod@4.6.5", "", {}, "sha512-v5l/aFXZQeai4awLbOpSoHecE9UiMrnfx75tEXLjNonXVARxQ5mOeipTjROUchszUNCqnE+hqAMujRsRHsut2Q=="],
+
+    "body-parser/content-type": ["content-type@2.0.0", "", {}, "sha512-j/O/d7GcZCyNl7/hwZAb606rzqkyvaDctLmckbxLzHvFBzTJHuGEdodATcP3yIRoDrLHkIATJuvzbFlp/ki2cQ=="],
+
+    "express/cookie": ["cookie@0.7.2", "", {}, "sha512-yki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/w=="],
+
+    "form-data/mime-types": ["mime-types@2.1.35", "", { "dependencies": { "mime-db": "1.52.0" } }, "sha512-ZDY+bPm5zTTF+YpCrAU9nK0UgICYPT0QtT1NZWFv4s++TNkcgVaT0g6+4R2uI4MjQjzysHB1zxuWL50hzaeXiw=="],
+
+    "thread-stream/real-require": ["real-require@1.0.0", "", {}, "sha512-P4nbQYQfePJxRSmY+v/KINxVucm4NF3p3s7pJveMTtom52FR4YGltUQLB8idDXwDDWW+eYrWDFbuzUnjoWHF7g=="],
+
+    "type-is/content-type": ["content-type@2.0.0", "", {}, "sha512-j/O/d7GcZCyNl7/hwZAb606rzqkyvaDctLmckbxLzHvFBzTJHuGEdodATcP3yIRoDrLHkIATJuvzbFlp/ki2cQ=="],
+
+    "form-data/mime-types/mime-db": ["mime-db@1.52.0", "", {}, "sha512-sPU4uV7dYlvtWJxwwxHD0PuihVNiE7TyAbQ5SWxDCB9mUYvOgroQOwYQQOKPJ8CIbE+1ETVlOoK1UC2nU3gYvg=="],
+  }
+}
@@ -0,0 +1,2 @@
+[test]
+preload = ["./tests/setup-env.ts"]
@@ -5,7 +5,7 @@
  "private": true,
  "type": "module",
  "main": "dist/index.js",
-  "packageManager": "pnpm@11.20.0",
+  "packageManager": "bun@1.3.14",
  "engines": {
    "node": ">=22.12.0",
    "pnpm": ">=9.0.0"
@@ -16,14 +16,15 @@
    "format": "biome format --write .",
    "lint": "biome check --diagnostic-level=error .",
    "start": "node dist/index.js",
-    "test": "vitest run",
-    "typecheck": "tsc --noEmit"
+    "test": "bun test tests/",
+    "typecheck": "tsc --noEmit",
+    "test:e2e": "bun test src/e2e.test.ts"
  },
  "dependencies": {
-    "@orpc/server": "1.15.2",
+    "@orpc/server": "1.15.3",
    "axios": "^1.20.0",
    "dotenv": "^18.0.1",
-    "drizzle-orm": "^0.45.2",
+    "drizzle-orm": "^0.45.3",
    "express": "^5.2.1",
    "helmet": "^8.1.0",
    "ioredis": "^6.0.0",
@@ -41,6 +42,6 @@
    "@types/ws": "^8.18.1",
    "tsx": "^4.23.15",
    "typescript": "^7.0.2",
-    "vitest": "^5.0.1"
+    "@types/bun": "latest"
  }
-}
+}
@@ -1,65 +0,0 @@
-import { config } from "@/shared/config/index";
-import { createChildLogger } from "@/shared/logger/index";
-
-const logger = createChildLogger("messages-embed");
-
-/** Max chars for a search query fed to the embedding model. */
-const MAX_QUERY_CHARS = 300;
-
-/**
- * Normalize a user search query before embedding so it lands in the same
- * vector space as the archived content (which is normalized the same way on
- * write). Mirrors the gateway's normalizer: strip control/zero-width chars,
- * lowercase, collapse whitespace, cap length. Readable punctuation is kept —
- * a search query is already compact.
- */
-export function normalizeEmbeddingQuery(raw: string): string {
-  if (!raw) return "";
-  return raw
-    .replace(/[\p{Cc}\p{Cf}]/gu, " ")
-    .toLowerCase()
-    .replace(/\s+/g, " ")
-    .trim()
-    .slice(0, MAX_QUERY_CHARS);
-}
-
-/**
- * Embed a search query with the configured OpenAI-compatible embedding model.
- * Uses raw fetch (the backend has no openai SDK dependency) and returns null
- * when embeddings are not configured (search unavailable).
- *
- * encoding_format: "float" is REQUIRED — Nvidia-backed models reject base64.
- */
-export async function embedQuery(rawQuery: string): Promise<number[] | null> {
-  if (!config.AI_LLM_API_KEY || !config.AI_LLM_EMBEDDING_MODEL) return null;
-  const text = normalizeEmbeddingQuery(rawQuery);
-  if (!text) return null;
-  try {
-    const res = await fetch(`${config.AI_LLM_BASE_URL}/embeddings`, {
-      method: "POST",
-      headers: {
-        "Content-Type": "application/json",
-        Authorization: `Bearer ${config.AI_LLM_API_KEY}`,
-      },
-      body: JSON.stringify({
-        model: config.AI_LLM_EMBEDDING_MODEL,
-        input: text,
-        encoding_format: "float",
-      }),
-    });
-    if (!res.ok) {
-      logger.warn({ status: res.status }, "query embed HTTP error");
-      return null;
-    }
-    const json = (await res.json()) as {
-      data?: Array<{ embedding?: number[] }>;
-    };
-    return json.data?.[0]?.embedding ?? null;
-  } catch (error) {
-    logger.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "query embed failed",
-    );
-    return null;
-  }
-}
@@ -41,11 +41,3 @@ export const messageUpdateSchema = z.object({
 export type MessageQuery = z.infer<typeof messageQuerySchema>;
 export type MessageCreate = z.infer<typeof messageCreateSchema>;
 export type MessageUpdate = z.infer<typeof messageUpdateSchema>;
-
-export const semanticSearchSchema = z.object({
-  query: z.string().min(1).max(500),
-  limit: z.coerce.number().int().positive().max(50).default(10),
-  guildId: z.string().optional(),
-});
-
-export type SemanticSearchQuery = z.infer<typeof semanticSearchSchema>;
@@ -1,10 +1,7 @@
-import { config } from "@/shared/config/index";
 import { NotFoundError, ValidationError } from "@/shared/errors/index";
 import { createChildLogger } from "@/shared/logger/index";
-import { embedQuery } from "./embed.js";
 import { type MessageRow, messagesRepository } from "./messages.repository.js";
-import type { MessageQuery, SemanticSearchQuery } from "./messages.schema.js";
-import { searchArchive } from "./qdrant.js";
+import type { MessageQuery } from "./messages.schema.js";

 const logger = createChildLogger("messages.service");

@@ -102,32 +99,6 @@ export class MessagesService {
    return messagesRepository.getReviewMessages(channelId, limit);
  }

-  /**
-   * Public, read-only semantic search over the persistent message archive.
-   * Embeds the query, searches Qdrant, returns text + metadata. Best-effort:
-   * if embeddings/Qdrant are unavailable, returns an empty result set.
-   */
-  async semanticSearch(
-    input: SemanticSearchQuery,
-  ): Promise<{ results: ReturnType<typeof mapSearchHit>[]; nextCursor: null }> {
-    const vector = await embedQuery(input.query);
-    if (!vector) {
-      logger.debug(
-        { query: input.query },
-        "semantic search skipped: no embedder",
-      );
-      return { results: [], nextCursor: null };
-    }
-    const hits = await searchArchive(
-      vector,
-      input.limit,
-      config.AI_LLM_EMBEDDING_ARCHIVE_MIN_SIMILARITY,
-      input.guildId,
-    );
-    const results = hits.map((h) => mapSearchHit(h));
-    return { results, nextCursor: null };
-  }
-
  async getActivity(
    days = 30,
  ): Promise<Awaited<ReturnType<typeof messagesRepository.getActivity>>> {
@@ -157,36 +128,4 @@ export class MessagesService {
  }
 }

-/** Shape returned to the frontend (text + rich metadata from the archive payload). */
-function mapSearchHit(hit: {
-  score: number;
-  payload: {
-    text: string;
-    content_hash?: string;
-    analyzed_at: number;
-    username?: string;
-    channel_id?: string;
-    guild_id?: string;
-    thread_id?: string | null;
-    channel_name?: string | null;
-    thread_name?: string | null;
-    created_at?: number;
-  };
-}) {
-  return {
-    message_id: hit.payload.content_hash ?? null,
-    content: hit.payload.text,
-    score: hit.score,
-    // Prefer the real message timestamp; fall back to embed time for old
-    // points that predate rich metadata.
-    created_at: hit.payload.created_at ?? hit.payload.analyzed_at,
-    username: hit.payload.username ?? null,
-    channel_id: hit.payload.channel_id ?? null,
-    guild_id: hit.payload.guild_id ?? null,
-    thread_id: hit.payload.thread_id ?? null,
-    channel_name: hit.payload.channel_name ?? null,
-    thread_name: hit.payload.thread_name ?? null,
-  };
-}
-
 export const messagesService = new MessagesService();
@@ -1,114 +0,0 @@
-import { config } from "@/shared/config/index";
-import { createChildLogger } from "@/shared/logger/index";
-
-const logger = createChildLogger("messages-qdrant");
-
-export interface ArchiveHit {
-  score: number;
-  payload: {
-    text: string;
-    content_hash?: string;
-    analyzed_at: number;
-    expires_at: number;
-    username?: string;
-    channel_id?: string;
-    guild_id?: string;
-    thread_id?: string | null;
-    channel_name?: string | null;
-    thread_name?: string | null;
-    created_at?: number;
-  };
-}
-
-function baseUrl(): string {
-  return (config.QDRANT_URL ?? "http://100.121.180.82:6333").replace(
-    /\/+$/,
-    "",
-  );
-}
-
-function headers(): Record<string, string> {
-  const h: Record<string, string> = { "Content-Type": "application/json" };
-  if (config.QDRANT_API_KEY) h["api-key"] = config.QDRANT_API_KEY;
-  return h;
-}
-
-export const ARCHIVE_COLLECTION =
-  config.QDRANT_ARCHIVE_COLLECTION ?? "gmw_message_archive";
-
-async function request(
-  method: string,
-  path: string,
-  body?: unknown,
-  timeoutMs = 10_000,
-): Promise<unknown> {
-  const controller = new AbortController();
-  const timer = setTimeout(() => controller.abort(), timeoutMs);
-  try {
-    const res = await fetch(`${baseUrl()}${path}`, {
-      method,
-      headers: headers(),
-      body: body === undefined ? undefined : JSON.stringify(body),
-      signal: controller.signal,
-    });
-    const text = await res.text();
-    if (!res.ok) {
-      throw new Error(
-        `Qdrant ${method} ${path} -> ${res.status}: ${text.slice(0, 200)}`,
-      );
-    }
-    return text ? JSON.parse(text) : null;
-  } finally {
-    clearTimeout(timer);
-  }
-}
-
-/** Search the archive collection for the nearest vectors to `vector`. */
-export async function searchArchive(
-  vector: number[],
-  limit: number,
-  scoreThreshold: number,
-  guildId?: string,
-): Promise<ArchiveHit[]> {
-  if (!config.QDRANT_URL) return [];
-  try {
-    const json = (await request(
-      "POST",
-      `/collections/${ARCHIVE_COLLECTION}/points/search`,
-      {
-        vector,
-        limit,
-        score_threshold: scoreThreshold,
-        with_payload: true,
-        // Optional scope: only return vectors from a specific guild's archive.
-        // Old points (embedded before rich metadata) have no guild_id payload —
-        // the `must` match simply excludes them, which is the correct behavior
-        // for a guild-scoped search.
-        ...(guildId
-          ? {
-              filter: {
-                must: [{ key: "guild_id", match: { value: guildId } }],
-              },
-            }
-          : {}),
-      },
-    )) as {
-      result?: Array<{
-        score?: number;
-        payload?: ArchiveHit["payload"];
-      }>;
-    };
-    return (json.result ?? [])
-      .filter((h) => h.payload?.text)
-      .map((h) => ({
-        score: h.score ?? 0,
-        payload: h.payload as ArchiveHit["payload"],
-      }));
-  } catch (error) {
-    logger.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "archive search failed",
-    );
-    return [];
-  }
-}
@@ -5,10 +5,7 @@ import { chatRequestSchema } from "../modules/chatbot/chatbot.schema";
 import { chatbotService } from "../modules/chatbot/chatbot.service";
 import { dashboardService } from "../modules/dashboard/dashboard.service";
 import { knowledgeService } from "../modules/knowledge/knowledge.service";
-import {
-  messageQuerySchema,
-  semanticSearchSchema,
-} from "../modules/messages/messages.schema";
+import { messageQuerySchema } from "../modules/messages/messages.schema";
 import { messagesService } from "../modules/messages/messages.service";
 import { moderationService } from "../modules/moderation/moderation.service";
 import { uiStateService } from "../modules/ui-state/ui-state.service";
@@ -123,10 +120,6 @@ const messagesRouter = {
      );
      return { results: rows, limit: input.limit, cursor: null };
    }),
-  // Public, read-only semantic search over the message archive.
-  semanticSearch: os
-    .input(semanticSearchSchema)
-    .handler(({ input }) => messagesService.semanticSearch(input)),
  // Public, read-only activity heatmap data (per-hour volume by channel).
  activity: os
    .input(
@@ -96,21 +96,12 @@ export const configSchema = z
      .transform((v) => v === "true")
      .default(false),
    AI_LLM_API_KEY: z.string().optional(),
-    AI_LLM_BASE_URL: z
-      .string()
-      .url()
-      .default("http://100.121.180.82:20128/api/v1"),
+    // 9router — OpenAI-compatible router on this host (127.0.0.1:4014).
+    // Loopback on purpose: backend runs on the same machine as 9router, so no
+    // TLS/proxy hop is needed.
+    AI_LLM_BASE_URL: z.string().url().default("http://127.0.0.1:4014/v1"),
    AI_LLM_MODEL: z.string().default("text"),
    AI_LLM_VISION_MODEL: z.string().optional(),
-    AI_LLM_EMBEDDING_MODEL: z.string().optional(),
-    // Minimum cosine similarity for the public archive semantic search. Lower
-    // = more (noisier) results; raise it to tighten precision. Tuned for a 1B
-    // embedding model — re-tune if the model's dimensionality changes.
-    AI_LLM_EMBEDDING_ARCHIVE_MIN_SIMILARITY: z.coerce
-      .number()
-      .min(0)
-      .max(1)
-      .default(0.6),
    AI_LLM_MAX_CONCURRENT: z.coerce.number().int().positive().default(5),
    AI_LLM_IMAGE_MAX_DIMENSION: z.coerce
      .number()
@@ -179,11 +170,6 @@ export const configSchema = z
      .default("https://api.openai.com/v1"),
    OPENAI_MODERATION_MODEL: z.string().default("omni-moderation-latest"),

-    // ── Qdrant (message archive for semantic search) ──────────────────
-    QDRANT_URL: z.string().optional(),
-    QDRANT_API_KEY: z.string().optional(),
-    QDRANT_ARCHIVE_COLLECTION: z.string().default("gmw_message_archive"),
-
    // ── Auto Delete ─────────────────────────────────────────────────────
    AUTO_DELETE_FLAGGED_ENABLED: z
      .string()
@@ -1,4 +1,4 @@
-import { describe, expect, it } from "vitest";
+import { describe, expect, it } from "bun:test";
 import { tools } from "../src/modules/chatbot/chatbot.toolDefs.js";

 const names = tools.map((t) => t.function.name);
@@ -1,6 +1,32 @@
 // ─── Shared Error Classes ────────────────────────────────────────────────────

-import { afterEach, describe, expect, it, vi } from "vitest";
+// bun:test compat facade — vitest's `vi` maps onto bun's `jest`/`mock`/`spyOn`.
+// bun:test 1.3.14 exports both `jest` (fn, useFakeTimers, spyOn) and `mock`
+// (module, restore). `vi.fn` -> `jest.fn`, `vi.useFakeTimers` -> `jest.useFakeTimers`,
+// `vi.waitFor` -> waitForCompat (poll until the assertion passes).
+
+import { afterEach, describe, expect, it, jest } from "bun:test";
+
+const useFakeTimers = () => jest.useFakeTimers();
+const useRealTimers = () => jest.useRealTimers();
+const advanceTimersByTime = (ms: number) => jest.advanceTimersByTime(ms);
+async function waitForCompat(fn: () => Promise<unknown>, timeoutMs = 2_000) {
+  const start = Date.now();
+  let lastErr: unknown;
+  while (Date.now() - start < timeoutMs) {
+    try {
+      await fn();
+      return;
+    } catch (err) {
+      lastErr = err;
+      await new Promise((r) => setTimeout(r, 10));
+    }
+  }
+  throw lastErr instanceof Error
+    ? lastErr
+    : new Error("waitForCompat timed out");
+}
+
 import {
  AppError,
  ConfigError,
@@ -94,41 +120,41 @@ describe("AppError subclasses", () => {
 // ═══════════════════════════════════════════════════════════════════════════════
 describe("delay", () => {
  afterEach(() => {
-    vi.useRealTimers();
+    useRealTimers();
  });

  it("resolves after the given time", async () => {
-    vi.useFakeTimers();
+    useFakeTimers();
    const promise = delay(500);
-    vi.advanceTimersByTime(500);
+    advanceTimersByTime(500);
    await expect(promise).resolves.toBeUndefined();
  });

  it("rejects are not triggered on non-matching timer", async () => {
-    vi.useFakeTimers();
+    useFakeTimers();
    const promise = delay(1000);
    // Advance only part way — the timer should NOT fire yet
-    vi.advanceTimersByTime(500);
+    advanceTimersByTime(500);
    // The timer is still pending; the promise has not resolved yet
    // We advance the rest
-    vi.advanceTimersByTime(500);
+    advanceTimersByTime(500);
    await expect(promise).resolves.toBeUndefined();
  });
 });

 describe("retryWithBackoff", () => {
  afterEach(() => {
-    vi.useRealTimers();
+    useRealTimers();
  });

  it("returns the result on first success without retrying", async () => {
-    const fn = vi.fn().mockResolvedValue("ok");
+    const fn = jest.fn().mockResolvedValue("ok");
    await expect(retryWithBackoff(fn)).resolves.toBe("ok");
    expect(fn).toHaveBeenCalledTimes(1);
  });

  it("re-throws after exhausting all retries", async () => {
-    const fn = vi.fn().mockRejectedValue(new Error("persistent"));
+    const fn = jest.fn().mockRejectedValue(new Error("persistent"));
    await expect(
      retryWithBackoff(fn, { retries: 1, minTimeout: 1, maxTimeout: 5 }),
    ).rejects.toThrow("persistent");
@@ -139,7 +165,7 @@ describe("retryWithBackoff", () => {
  it("throws AbortError immediately when signal is already aborted", async () => {
    const ac = new AbortController();
    ac.abort();
-    const fn = vi.fn().mockResolvedValue("ok");
+    const fn = jest.fn().mockResolvedValue("ok");
    await expect(
      retryWithBackoff(fn, { retries: 3, signal: ac.signal }),
    ).rejects.toThrow("Aborted");
@@ -147,9 +173,9 @@ describe("retryWithBackoff", () => {
  });

  it("respects abort signal during retry", async () => {
-    vi.useFakeTimers();
+    useFakeTimers();
    const ac = new AbortController();
-    const fn = vi.fn().mockRejectedValue(new Error("fail"));
+    const fn = jest.fn().mockRejectedValue(new Error("fail"));

    const promise = retryWithBackoff(fn, {
      retries: 5,
@@ -159,8 +185,8 @@ describe("retryWithBackoff", () => {

    // Schedule abort after first failure + backoff starts
    setTimeout(() => ac.abort(), 150);
-    vi.advanceTimersByTime(200);
-    await vi.waitFor(async () => {
+    advanceTimersByTime(200);
+    await waitForCompat(async () => {
      await expect(promise).rejects.toThrow("Aborted");
    });
  });
@@ -232,7 +258,7 @@ describe("asyncHandler", () => {
    const wrapped = asyncHandler(async () => {
      throw error;
    });
-    const next = vi.fn();
+    const next = jest.fn();

    wrapped({} as any, {} as any, next);

@@ -246,7 +272,7 @@ describe("asyncHandler", () => {
    const wrapped = asyncHandler(async (_req: any, _res: any, _next: any) => {
      // no-op
    });
-    const next = vi.fn();
+    const next = jest.fn();

    wrapped({} as any, {} as any, next);
    await Promise.resolve();
@@ -0,0 +1 @@
+// bun test preload — nothing needed for backend unit tests today.
@@ -1,4 +1,4 @@
-import { describe, expect, it } from "vitest";
+import { describe, expect, it } from "bun:test";

 /**
 * Lock the contract that the WS `stream_messages` handler + frontend
@@ -1,16 +0,0 @@
-import { fileURLToPath } from "node:url";
-import { defineConfig } from "vitest/config";
-
-export default defineConfig({
-  resolve: {
-    alias: {
-      "@": fileURLToPath(new URL("./src", import.meta.url)),
-    },
-  },
-  test: {
-    globals: true,
-    environment: "node",
-    include: ["src/**/*.test.ts", "tests/**/*.test.ts"],
-    testTimeout: 15000,
-  },
-});
@@ -53,19 +53,16 @@ src/
 1. **LLM is the only judge.** Failed LLM → `status:"error"` + recovery retry.
   **Never** reintroduce regex/heuristic content classification.
 2. **Discord tokens sanitized** before reaching LLM (`discordTokens.ts`).
-3. **Semantic cache is batched** — one embed call + one Qdrant batch search.
-4. **Streaming is mandatory** against the omniroute base URL.
+3. **Streaming is mandatory** against the router base URL.

 ## AI moderation pipeline

 ```
 aiAnalyzer.ts → batchScheduler.ts → batchProcessor.ts → individualFallbackProcessor.ts
    ↓                  ↓                    ↓                        ↓
-moderationOrchestrator.ts → (hash cache → Qdrant → LLM)
+moderationOrchestrator.ts → (hash cache → LLM)
    ↓                          ↓                              ↓
 textBatchProcessor.ts    mediaBatchProcessor.ts         llmClient.ts
-                                                     embeddingClient.ts
-                                                     qdrantClient.ts
 ```

 - Entry: `aiAnalyzer.ts` (`queueMessageAnalysis`, `startPendingAIAnalysisWorker`)
@@ -85,7 +82,6 @@ textBatchProcessor.ts    mediaBatchProcessor.ts         llmClient.ts
 - `messageStore.ts` — DB operations
 - `messageMetadata.ts` — metadata extraction
 - `messagesDb.ts` / `messagesCrud.ts` — DB schema operations
- `archiveEmbedder.ts` — Qdrant embedding (respect age-restricted guard)
 - `retentionDb.ts` / `reviewsDb.ts` / `attachmentsDb.ts` — auxiliary tables

 ## Redis channels (outbound to backend)
@@ -5,10 +5,9 @@ messages/attachments/reactions/threads/presence, runs LLM-based AI
 moderation, and publishes everything to Redis pub/sub for the backend to
 consume. The backend serves the HTTP/WS API to the frontend.

-> NOTE: this doc is the source of truth for the module layout. The older
-> `MODULE_STRUCTURE.md` was stale (referenced `winston`, `mock-crc.ts`,
-> `indonesianTextNormalizer.ts`, and `aiAnalysisWorker.ts`/`llmModerationClient.ts`
-> which were renamed/merged). If they disagree, this file wins.
+> NOTE: this doc is the source of truth for the module layout. The old
+> `MODULE_STRUCTURE.md` was a stale duplicate and has been removed. `README.md`
+> only covers how to run the service.

 ## Top-level layout

@@ -16,33 +15,41 @@ consume. The backend serves the HTTP/WS API to the frontend.
 services/discord-gateway/
 ├── src/
 │   ├── index.ts                     # Entry point → initializeDiscordGateway()
-│   ├── app/
-│   │   ├── bootstrap.ts             # Wires client, DB, Redis, workers, schedulers
-│   │   ├── shutdown.ts              # Graceful shutdown (SIGINT/SIGTERM + transient errors)
+│   ├── app/                         # Process lifecycle
+│   │   ├── bootstrap.ts             # Startup order: config → DB → services → metrics → login
+│   │   ├── lifecycle.ts             # Everything wired on the Discord 'ready' hook
+│   │   ├── process-guards.ts        # SIGINT/SIGTERM + uncaught-error policy
+│   │   ├── metrics-collector.ts     # AI pipeline Prometheus gauges
+│   │   ├── shutdown.ts              # Graceful shutdown sequence
 │   │   └── retention.ts             # Expired-record cleanup scheduler
-│   ├── shared/
+│   ├── shared/                      # Infrastructure — never imports from modules/
 │   │   ├── config/                  # Zod-validated env (index.ts = schema+loader)
 │   │   ├── database/                # Drizzle ORM + pg Pool + migrations
 │   │   │   ├── init.ts drizzle.ts pool.ts migrate.ts migrateCli.ts
 │   │   │   └── schema/              # messages, cache, meta, analytics
 │   │   ├── logger/                  # pino wrapper + createChildLogger()
-│   │   ├── errors/                  # AppError / ConfigError ...
+│   │   ├── errors/                  # AppError / ConfigError ... + errorMessage()
+│   │   │                            #   + isTransientStreamError()
 │   │   ├── utils/                   # retry, pagination
 │   │   ├── discord/clientOptions.ts # discord.js-selfbot-v13 client options
 │   │   ├── uploader.ts              # Shared attachment upload helper
-│   │   ├── redis-channels.ts        # Redis channel-name constants
+│   │   ├── redis-channels.ts        # Redis channel + command constants
 │   │   └── moderation-types.ts      # Shared AI analysis domain types
-│   └── modules/
+│   └── modules/                     # Feature modules, each with an index.ts facade
 │       ├── message-capture/         # Discord event listeners + DB store
 │       ├── ai-moderation/           # LLM moderation pipeline (see below)
 │       ├── attachment-upload/       # Download + (sharp) resize + upload
-│       ├── event-broadcaster/        # RedisEventPublisher + EventBroadcaster
+│       ├── event-broadcaster/       # RedisEventPublisher + EventBroadcaster
 │       ├── command-handler/         # Redis-subscribed backend→gateway commands
 │       ├── reaction-tracking/ thread-tracking/ user-presence/
-│       ├── channel-topic/ guild-member-events/
-│       └── gateway-metrics/         # Prometheus /metrics endpoint (port 4016)
+│       ├── channel-topic/ guild-member-events/ monitor/
+│       └── gateway-metrics/         # Prometheus /metrics endpoint (METRICS_PORT)
 ```

+Dependency direction is one-way: `index.ts` → `app/` → `modules/` → `shared/`.
+Code outside a module imports its `index.ts` facade, never an internal file;
+deep imports stay valid inside the module itself.
+
 ## AI moderation pipeline (`ai-moderation/`)

 LLM-only judge — no regex/heuristic classification. One orchestrator call
@@ -54,8 +61,15 @@ concurrency semaphores. The text lane frees its lock and saves+broadcasts the
 moment text analysis finishes — it never waits on a slow vision/media batch
 of the same conversation, and vice versa.

- `aiAnalyzer.ts` — public API: `queueMessageAnalysis`, `getAnalysisQueueStatus`,
-  `startPendingAIAnalysisWorker` (recovery worker + cache-prune).
+- `aiAnalyzer.ts` — public API: `queueMessageAnalysis`, `queueConversationAnalysis`,
+  `getAnalysisQueueStatus`, `startPendingAIAnalysisWorker`. Short-circuits
+  age-restricted and skip-list messages before any LLM work.
+- `recovery-worker.ts` — periodic sweep for stranded `pending` messages
+  (re-scheduled per lane) and `error`/`analysis_incomplete` messages
+  (individual fallback queue); prunes stale lane locks, per-conversation CB
+  counters and individual in-flight markers.
+- `cache-prune.ts` — throttled (6h) expired-verdict sweep across Postgres,
+  driven from the recovery interval.
 - `batchScheduler.ts` — per-conversation per-LANE debounce → `processBatch`
  (lane-aware). `splitMessagesByLane` / `laneOfMessage` live in
  `analysisLanes.ts` (pure, unit-testable).
@@ -68,8 +82,8 @@ of the same conversation, and vice versa.
  Piscina `textWorkerPool`/`mediaWorkerPool`, `getConversationKey`.
 - `ai-analysis-worker.ts` — Piscina entry point (`batch` (lane) /
  `individual` jobs). Runs `runModerationAnalysis` off the main thread.
- `moderationOrchestrator.ts` — exact-hash cache → batched semantic (Qdrant)
-  cache → LLM. Text and media paths run in parallel.
+- `moderationOrchestrator.ts` — exact-hash cache → LLM. Text and media paths
+  run in parallel.
 - `textBatchProcessor.ts` / `mediaBatchProcessor.ts` — actual LLM calls
  (one call per sub-batch, not per message). `mediaBatchProcessor` routes its
  moderation LLM call through the MEDIA semaphore.
@@ -79,8 +93,6 @@ of the same conversation, and vice versa.
  `AI_LLM_MEDIA_MAX_CONCURRENT` (media lane, default 4) — a vision backlog
  can never consume text slots. `visionAnalyzer.ts` / `mediaAnalysisClient.ts`
  share the same router/base URL (different model alias for vision).
- `embeddingClient.ts` + `qdrantClient.ts` — semantic cache (one embed call +
-  one batched Qdrant search for all uncached targets).
 - `textCacheStore.ts` / `channelCultureStore.ts` / `userProfileStore.ts` /
  `userProfileStore.ts` — caches learned user profile summaries (optional).

@@ -123,28 +135,53 @@ See `src/shared/redis-channels.ts` for the canonical names.

 ## Initialization flow

+`bootstrap.ts` runs these steps in order (each is a named function):
+
 1. Validate env (Zod). Refuse to start if `AI_ANALYSIS_ENABLED` but no key.
-2. `AUTO_MIGRATE_ON_STARTUP` → run pending Drizzle migrations.
-3. `initializeDatabase()` (pg Pool, min 0).
-4. Create discord.js-selfbot-v13 client; register listeners on `ready`.
-5. Start `gmw-discord-gateway` metrics server (port `METRICS_PORT`, default 4016).
-6. `client.login(token)`.
+   → `assertConfigIsUsable()`
+2. Build long-lived services: Discord client, `RedisEventPublisher` +
+   `EventBroadcaster`, `CommandHandler`; install the shutdown handler.
+3. Connect infrastructure → `connectDatabase()`:
+   `AUTO_MIGRATE_ON_STARTUP` runs pending Drizzle migrations, then
+   `initializeDatabase()` (pg Pool, min 0).
+4. `registerClientDebugLogging()` — only client debug lines carrying signal.
+5. Install process guards (`registerProcessGuards`).
+6. Register pipeline gauges + start the metrics server (`METRICS_PORT`, code
+   default 9090, set per deployment).
+7. `client.login(token)`.
+
+On the Discord `ready` event, `lifecycle.ts` runs `startGatewayLifecycle()`:
+
+1. Inject the event broadcaster into message-capture and moderation-actions
+   (before any listener can fire).
+2. Register Discord listeners: message-capture, reaction, thread, presence,
+   channel-topic, guild-member.
+3. Start background work: AI analysis worker + recovery worker, command
+   handler, retention cleanup, weekly digest.

 ## Graceful shutdown

-`SIGINT`/`SIGTERM` (and uncaught transient stream errors: EPIPE / ECONNRESET /
-ERR_STREAM_DESTROYED / ERR_STREAM_WRITE_AFTER_END are treated as non-fatal):
-stop metrics → close event broadcaster (Redis) → close command handler →
-close DB → destroy client → exit.
+`process-guards.ts` owns the policy. `SIGINT`/`SIGTERM` and non-transient
+uncaught exceptions/rejections run `shutdown.ts`; transient stream errors
+(EPIPE / ECONNRESET / ERR_STREAM_DESTROYED / ERR_STREAM_WRITE_AFTER_END, see
+`isTransientStreamError()`) are logged and IGNORED so the bot stays online.
+
+Shutdown order: stop metrics → close event broadcaster (Redis) → close command
+handler → close DB → destroy client → exit.

 ## Observability

-Prometheus scrapes `127.0.0.1:4016/metrics` (`bete_*` prefix). Collectors run
+Prometheus scrapes the metrics server at `127.0.0.1:$METRICS_PORT/metrics`
+(`bete_*` prefix; the code default is 9090 — deployments set it explicitly,
+this host uses 4018). Collectors run
 per-scrape and expose: process memory/uptime, and (when AI analysis is on) live
-pipeline gauges — `ai_analysis_queued_conversations`,
-`ai_analysis_active_batch_requests`, `ai_analysis_active_individual_requests`,
-`ai_analysis_individual_in_flight`, `ai_analysis_individual_circuit_breaker_active`,
-`ai_analysis_worker_threads`, `ai_analysis_worker_threads_active`.
+pipeline gauges registered by `app/metrics-collector.ts` —
+`ai_analysis_queued_conversations`, `ai_analysis_active_batch_requests`,
+`ai_analysis_active_text_requests`, `ai_analysis_active_media_requests`,
+`ai_analysis_active_individual_requests`, `ai_analysis_individual_in_flight`,
+`ai_analysis_individual_circuit_breaker_active`,
+`ai_analysis_worker_threads_{text,media}`,
+`ai_analysis_worker_threads_active_{text,media}`.

 ## Key invariants (do not break)

@@ -153,7 +190,5 @@ pipeline gauges — `ai_analysis_queued_conversations`,
 - **Discord tokens are sanitized** (`discordTokens.ts`: `<:emoji:id>` →
  `[emoji:name]`, `<@id>` → `@user`, etc.) before content reaches the LLM, so
  numeric snowflake IDs never trigger false positives.
- **Semantic cache is batched** (one embed call + one Qdrant batch search),
-  not N sequential round-trips. `ensureQdrantCollection` is memoized.
- **Streaming is mandatory** against the omniroute base URL (non-stream waits for
+- **Streaming is mandatory** against the router base URL (non-stream waits for
  the full body and times out). `llmClient` aggregates SSE chunks.
@@ -1,73 +0,0 @@
-# Discord Gateway Service — Module Structure
-
-> Kept as a compact module map. For the authoritative layout, design
-> decisions, and invariants, see `ARCHITECTURE.md`. This file was rewritten
-> on 2026-08-16 to fix stale references (`winston` → pino,
-> `mock-crc.ts`/`indonesianTextNormalizer.ts` removed,
-> `aiAnalysisWorker.ts` → `ai-analysis-worker.ts`,
-> `llmModerationClient.ts` → `llmClient.ts`).
-
-## Top-level
-
-```
-services/discord-gateway/
-├── src/
-│   ├── index.ts                     # Entry point
-│   ├── app/                         # bootstrap, shutdown, retention
-│   ├── shared/                      # config, database, logger, errors, utils, discord, uploader
-│   └── modules/
-│       ├── message-capture/         # Discord listeners + DB store + metadata
-│       ├── ai-moderation/           # LLM moderation pipeline (largest module)
-│       ├── attachment-upload/       # Download + sharp resize + upload
-│       ├── event-broadcaster/        # RedisEventPublisher + EventBroadcaster
-│       ├── command-handler/         # Backend→gateway Redis commands
-│       ├── reaction-tracking/ thread-tracking/ user-presence/
-│       ├── channel-topic/ guild-member-events/
-│       └── gateway-metrics/         # Prometheus /metrics (port 4016)
-├── tests/                           # Vitest suites (129 tests)
-├── drizzle/                         # Drizzle migration SQL + journal
-├── ARCHITECTURE.md  README.md  package.json  tsconfig.json  vitest.config.ts
-```
-
-## Module responsibilities (summary)
-
-### message-capture
-Captures `messageCreate`/`messageUpdate`/`messageDelete`, extracts metadata,
-stores to Postgres, publishes to Redis. Controller–Service–Repository split:
-`messageCapture.ts` (listener) → `messageStore.ts` (DB) + `messageMetadata.ts`
-(service).
-
-### ai-moderation
-LLM-only moderation. Entry: `aiAnalyzer.ts` (`queueMessageAnalysis`,
-`startPendingAIAnalysisWorker`, `getAnalysisQueueStatus`). Scheduling:
-`batchScheduler.ts` → `batchProcessor.ts` (batch lock + circuit breaker) →
-`individualFallbackProcessor.ts` (per-message retry). Heavy work runs in the
-Piscina pool via `ai-analysis-worker.ts` (jobs `batch` / `individual`).
-Orchestration/caching: `moderationOrchestrator.ts` (exact hash → batched
-semantic Qdrant → LLM), `textBatchProcessor.ts` / `mediaBatchProcessor.ts`
-(one LLM call per sub-batch), `llmClient.ts` (central streaming client),
-`embeddingClient.ts` + `qdrantClient.ts` (semantic cache), plus
-`channelCultureStore.ts` / `userProfileStore.ts`.
-
-### attachment-upload
-`attachmentUploader.ts` (download → upload to storage) + `imageResizer.ts`
-(sharp resize). Emits `discord:attachment:*`.
-
-### event-broadcaster
-`RedisEventPublisher` (ioredis publish) + `EventBroadcaster` (typed methods).
-Channel names in `src/shared/redis-channels.ts`.
-
-### gateway-metrics
-`metrics.ts` Prometheus HTTP server on `METRICS_PORT` (4016). Collectors run
-per scrape; live pipeline gauges registered in `bootstrap.ts`.
-
-## Shared infrastructure
- **config** — Zod schema in `shared/config/index.ts` (single source of truth).
- **database** — Drizzle ORM over `pg`; pool `min:0` (`shared/config`).
- **logger** — `pino` wrapper, `createChildLogger()` for context loggers.
- **errors** — `AppError` hierarchy (`ConfigError`, …).
-
-## Notes
- No HTTP server (other than the metrics endpoint). Pure event-driven.
- `MODULE_STRUCTURE.md` is intentionally a sketch; `ARCHITECTURE.md` is the
-  detailed reference. When they diverge, `ARCHITECTURE.md` wins.
@@ -1,319 +1,63 @@
-# Discord Gateway Service - Extraction Complete
+# Discord Gateway

-## Overview
+Event-driven selfbot service: captures Discord events, runs LLM moderation,
+publishes everything to Redis for the backend to consume.

-Successfully extracted Discord Gateway service with **Modular MVC + Event-Driven Architecture** using Redis pub/sub for inter-service communication.
+> Architecture, invariants and the AI pipeline are documented in
+> **`ARCHITECTURE.md`** — that file is the source of truth. This README only
+> covers how to run it.

-## Directory Structure
+## Commands

-```
-services/discord-gateway/
-├── src/
-│   ├── app/
-│   │   ├── bootstrap.ts          # Service initialization (Discord client, DB, Redis)
-│   │   └── shutdown.ts           # Graceful shutdown handler
-│   ├── shared/                   # Shared infrastructure layer
-│   │   ├── config/
-│   │   │   └── config.ts         # Zod-validated environment config
-│   │   ├── database/
-│   │   │   ├── schema.ts         # Drizzle ORM schema
-│   │   │   ├── drizzle.ts        # PostgreSQL connection
-│   │   │   ├── migrate.ts        # Migration runner
-│   │   ├── errors/
-│   │   │   └── errors.ts         # Custom error classes
-│   │   ├── logger/
-│   │   │   ├── logger.ts         # Winston logger wrapper
-│   │   │   └── serialization.ts  # Log serialization
-│   │   ├── utils/
-│   │   │   └── retry.ts          # Retry with exponential backoff
-│   │   └── discord/
-│   │       └── clientOptions.ts  # Discord.js client config
-│   ├── modules/                  # Feature modules (Modular MVC)
-│   │   ├── message-capture/      # Controller-Service-Repository
-│   │   │   ├── messageCapture.ts # Controller: Discord event listeners
-│   │   │   ├── messageStore.ts   # Repository: DB operations
-│   │   │   ├── messageMetadata.ts # Service: Metadata extraction
-│   │   │   ├── types.ts          # Domain types
-│   │   │   └── index.ts          # Module exports
-│   │   ├── ai-moderation/        # Controller-Service-Repository
-│   │   │   ├── aiAnalyzer.ts     # Controller: Analysis orchestration
-│   │   │   ├── llmModerationClient.ts # Service: LLM API client
-│   │   │   ├── aiAnalysisWorker.ts # Service: Worker pool
-│   │   │   ├── indonesianTextNormalizer.ts # Service: Text normalization
-│   │   │   ├── moderationPrompt.ts # Service: Prompt generation
-│   │   │   └── index.ts          # Module exports
-│   │   ├── attachment-upload/    # Controller-Service-Repository
-│   │   │   ├── attachmentUploader.ts # Service: Upload orchestration
-│   │   │   ├── imageResizer.ts   # Service: Image resizing
-│   │   │   └── index.ts          # Module exports
-│   │   └── event-broadcaster/    # Event-driven layer
-│   │       ├── eventBroadcaster.ts # Service: Redis pub/sub publisher
-│   │       ├── eventTypes.ts     # Domain: Event type definitions
-│   │       └── index.ts          # Module exports
-│   ├── mock-crc.ts               # CRC polyfill for discord.js
-│   └── index.ts                  # Service entry point
-├── ARCHITECTURE.md               # Detailed architecture documentation
-├── package.json                  # Service dependencies
-└── tsconfig.json                 # TypeScript configuration (inherited)
+```bash
+pnpm install
+pnpm typecheck     # tsc --noEmit
+pnpm lint          # biome check --diagnostic-level=error .
+pnpm test          # vitest run (138 tests)
+pnpm build         # tsc — CI/prod builds run this inside nix, which also
+                   # runs scripts/fix-imports.mjs to rewrite @/ aliases and
+                   # extensionless imports for Node ESM
+pnpm dev           # tsx watch src/index.ts
+pnpm start         # node dist/index.js
 ```

-## Architecture Patterns
+Deployment is CI-only: `nix build .#discord-gateway` → Attic cache → systemd
+restart on the VPS. Do not build/hand-copy the artifact.

-### 1. Modular MVC Structure
-Each feature module follows **Controller-Service-Repository** pattern:
-
-**Message Capture Module**:
- **Controller** (`messageCapture.ts`): Listens to Discord events (messageCreate, messageUpdate, messageDelete)
- **Service** (`messageMetadata.ts`): Extracts and normalizes message metadata
- **Repository** (`messageStore.ts`): Database CRUD operations
-
-**AI Moderation Module**:
- **Controller** (`aiAnalyzer.ts`): Orchestrates analysis workflow
- **Service** (`llmModerationClient.ts`): LLM API integration
- **Service** (`aiAnalysisWorker.ts`): Worker pool management
- **Service** (`indonesianTextNormalizer.ts`): Text preprocessing
-
-**Attachment Upload Module**:
- **Service** (`attachmentUploader.ts`): Upload orchestration
- **Service** (`imageResizer.ts`): Image processing
-
-### 2. Event-Driven Architecture
-**Redis Pub/Sub** replaces WebSocket broadcaster:
+## Layout

 ```
-Discord Events → Discord Gateway Service → Redis Pub/Sub → Backend Service
-                                         ↓
-                                    Event Channels:
-                                    - discord:message:created
-                                    - discord:message:updated
-                                    - discord:message:deleted
-                                    - discord:message:analyzed
-                                    - discord:attachment:created
-                                    - discord:attachment:uploaded
-                                    - discord:analysis:queue_status
+src/
+├── index.ts                 # entry → initializeDiscordGateway()
+├── app/                     # process lifecycle
+│   ├── bootstrap.ts         #   startup order: config → DB → services → metrics → login
+│   ├── lifecycle.ts         #   everything wired on the Discord 'ready' hook
+│   ├── process-guards.ts    #   SIGINT/SIGTERM + uncaught error policy
+│   ├── metrics-collector.ts #   AI pipeline Prometheus gauges
+│   ├── shutdown.ts          #   graceful shutdown sequence
+│   └── retention.ts         #   expired-record cleanup scheduler
+├── shared/                  # infrastructure — never imports from modules/
+│   ├── config/ database/ logger/ errors/ utils/
+│   ├── discord/clientOptions.ts
+│   ├── redis-channels.ts    #   canonical Redis channel + command constants
+│   └── moderation-types.ts  #   domain types shared across services
+└── modules/                 # feature modules (each exposes an index.ts facade)
+    ├── ai-moderation/       #   LLM moderation pipeline (largest module)
+    ├── message-capture/     #   Discord listeners + message/attachment DB
+    ├── attachment-upload/   #   download → resize → upload
+    ├── event-broadcaster/   #   Redis pub/sub publisher
+    ├── command-handler/     #   backend → gateway commands over Redis
+    ├── gateway-metrics/     #   Prometheus /metrics (METRICS_PORT)
+    ├── monitor/             #   weekly digest scheduler
+    └── reaction-tracking/ thread-tracking/ user-presence/
+        channel-topic/ guild-member-events/
 ```

-### 3. Shared Infrastructure Layer
-Centralized, reusable components:
- **Config**: Zod-validated environment variables
- **Logger**: Winston logger with context support
- **Database**: Drizzle ORM with PostgreSQL
- **Errors**: Custom error classes with codes and HTTP status codes
- **Utils**: Retry logic with exponential backoff
- **Discord**: Client configuration and options
+Dependency direction is one-way: `index.ts` → `app/` → `modules/` → `shared/`.
+Callers outside a module import its `index.ts` facade, never an internal file.

-### 4. No HTTP Server
- **Event-driven only**: No Express, WebSocket, or HTTP routes
- **Redis pub/sub**: All inter-service communication via Redis
- **Backend service**: Consumes events and serves HTTP API
- **Frontend**: Continues to use Backend HTTP API
+## Testing

-## Key Features
-
-### Message Capture
-1. Discord emits `messageCreate`, `messageUpdate`, `messageDelete` events
-2. `messageCapture.ts` listener receives and validates event
-3. Extract metadata: user, channel, content, timestamp, attachments
-4. `messageStore.ts` inserts into PostgreSQL
-5. `eventBroadcaster.messageCreated()` publishes to Redis
-6. Backend service subscribes and processes
-
-### AI Moderation
-1. `aiAnalyzer.ts` queues messages for analysis
-2. `llmModerationClient.ts` calls LLM API with context
-3. `indonesianTextNormalizer.ts` preprocesses text
-4. Results stored in database
-5. `eventBroadcaster.messageAnalyzed()` publishes results
-6. Backend service receives and updates UI
-
-### Attachment Upload
-1. `messageCapture.ts` detects attachments
-2. `attachmentUploader.ts` downloads from Discord
-3. `imageResizer.ts` resizes images if needed
-4. Upload to external storage with retry logic
-5. `eventBroadcaster.attachmentUploaded()` publishes
-6. Backend service stores metadata
-
-## Initialization Flow
-
-```
-1. Load environment config (Zod validation)
-   ↓
-2. Initialize PostgreSQL connection
-   ↓
-3. Run pending database migrations
-   ↓
-4. Create Discord client with optimized cache
-   ↓
-5. Initialize Redis event broadcaster
-   ↓
-6. Register Discord event listeners
-   - messageCapture (message events)
-   - aiAnalyzer (analysis worker)
-   ↓
-7. Login to Discord
-   ↓
-8. Listen for graceful shutdown signals
-```
-
-## Graceful Shutdown
-
-On SIGINT/SIGTERM/uncaughtException/unhandledRejection:
-1. Close PostgreSQL connection
-2. Close Redis connection
-3. Destroy Discord client
-4. Exit process (code 0 for clean, 1 for error)
-
-## Dependencies
-
-**Core Discord**:
- `discord.js-selfbot-v13` — Discord client (selfbot variant)
-
-**Media Processing**:
- `sharp` — Image resizing
-
-**Data & Config**:
- `drizzle-orm` — Type-safe ORM
- `pg` — PostgreSQL driver
- `zod` — Config validation
- `ioredis` — Redis client
-
-**Logging & Utilities**:
- `winston` — Structured logging
- `p-retry` — Retry with backoff
- `p-limit` — Concurrency limiting
- `piscina` — Worker pool
-
-## No Breaking Changes
-
- Original `src/` remains untouched
- Discord Gateway is a **new service** in `services/discord-gateway/`
- Can run alongside existing monolith during transition
- Backend service will consume Redis events
- Frontend continues to use Backend HTTP API
-
-## Next Steps
-
-1. **Create Backend service** (`services/backend/`)
-   - HTTP API endpoints
-   - Redis event subscribers
-   - Database models
-   - WebSocket broadcaster
-
-2. **Update Frontend** (`frontend/`)
-   - Connect to Backend HTTP API
-   - Subscribe to WebSocket events
-
-3. **Nix & CI/CD**
-   - flake.nix package for Discord Gateway
-   - systemd services (gmw-backend, gmw-discord-gateway)
-   - GitHub Actions for build/deploy (nix copy → systemctl restart)
-
-4. **Documentation**
-   - API documentation
-   - Event schema documentation
-   - Deployment guide
-
-## Files Created
-
-**Total: 43 files**
-
-### Shared Infrastructure (9 files)
- `src/shared/config/config.ts`
- `src/shared/database/` (5 files)
- `@bete/shared/errors` (shared package)
- `src/shared/logger/logger.ts`
- `src/shared/logger/serialization.ts`
- `src/shared/utils/retry.ts`
- `src/shared/discord/clientOptions.ts`
-
-### Modules (28 files)
- `src/modules/message-capture/` (5 files)
- `src/modules/ai-moderation/` (6 files)
- `src/modules/attachment-upload/` (3 files)
- `src/modules/event-broadcaster/` (3 files)
-
-### App & Entry (4 files)
- `src/app/bootstrap.ts`
- `src/app/shutdown.ts`
- `src/index.ts`
- `src/mock-crc.ts`
-
-### Configuration (2 files)
- `package.json`
- `ARCHITECTURE.md`
-
-## Verification Checklist
-
-✅ Directory structure created
-✅ Shared infrastructure migrated
-✅ Message capture module migrated
-✅ AI moderation module migrated
-✅ Attachment upload module migrated
-✅ Event broadcaster module created (Redis pub/sub)
-✅ Bootstrap and entry point created
-✅ Package.json with dependencies
-✅ No HTTP server code (Express, WebSocket removed)
-✅ Event-driven architecture implemented
-✅ Graceful shutdown handler
-✅ Module index files for clean exports
-✅ Architecture documentation
-
-## Event Flow Diagram
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│                     Discord Gateway Service                     │
-├─────────────────────────────────────────────────────────────────┤
-│                                                                 │
-│  ┌────────────────────────────┐  ┌────────────────────────────┐ │
-│  │      Message Capture       │  │       AI Moderation        │ │
-│  │        (Controller)        │  │        (Controller)        │ │
-│  └──────────────┬─────────────┘  └──────────────┬─────────────┘ │
-│                 │                               │               │
-│                 ├───────────────────────────────┤               │
-│                 │                               │               │
-│                 ▼                               ▼               │
-│  ┌───────────────────────────────────────────────────────────┐  │
-│  │             Event Broadcaster (Redis Pub/Sub)             │  │
-│  │  - discord:message:created                                │  │
-│  │  - discord:message:updated                                │  │
-│  │  - discord:message:deleted                                │  │
-│  │  - discord:message:analyzed                               │  │
-│  │  - discord:attachment:created                             │  │
-│  │  - discord:attachment:uploaded                            │  │
-│  │  - discord:analysis:queue_status                          │  │
-│  └───────────────────────────────────────────────────────────┘  │
-│                                │                                │
-└────────────────────────────────┼────────────────────────────────┘
-                                 │
-                                 │ Redis Pub/Sub
-                                 │
-                                 ▼
-┌─────────────────────────────────────────────────────────────────┐
-│                    Backend Service                              │
-│  (Subscribes to events, serves HTTP API, manages WebSocket)    │
-└─────────────────────────────────────────────────────────────────┘
-            │
-            │ HTTP API
-            │
-            ▼
-┌─────────────────────────────────────────────────────────────────┐
-│                    Frontend Application                         │
-│  (React SPA, real-time updates via WebSocket)                  │
-└─────────────────────────────────────────────────────────────────┘
-```
-
-## Summary
-
-The Discord Gateway service has been successfully extracted with:
- **Modular MVC architecture** for clean separation of concerns
- **Event-driven design** using Redis pub/sub for inter-service communication
- **Shared infrastructure layer** for reusable components
- **No HTTP server** — pure event-driven service
- **Graceful shutdown** handling
- **Type-safe configuration** with Zod validation
- **Structured logging** with Winston
- **PostgreSQL integration** with Drizzle ORM
-
-The service is ready for integration with the Backend service, which will consume Redis events and serve the HTTP API to the Frontend.
+Vitest, tests in `tests/`. Config supplies dummy env vars so the suite runs
+without live Postgres/Redis; external services are mocked. `llmE2e.test.ts`
+is skipped by default and needs real credentials (`pnpm test:e2e:live`).
@@ -0,0 +1,771 @@
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+  "lockfileVersion": 1,
+  "configVersion": 1,
+  "workspaces": {
+    "": {
+      "name": "@bete/discord-gateway",
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+        "discord.js-selfbot-v13": "^3.7.1",
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+        "ioredis": "^6.0.0",
+        "lru-cache": "^11.5.3",
+        "openai": "^7.20.0",
+        "opusscript": "^0.1.1",
+        "p-limit": "^7.3.3",
+        "p-retry": "^8.0.1",
+        "pg": "^8.23.0",
+        "pino": "^10.3.1",
+        "piscina": "^5.3.2",
+        "sharp": "^0.35.4",
+        "tiktoken": "^1.0.22",
+        "ws": "^8.21.3",
+        "zod": "^4.6.5",
+      },
+      "devDependencies": {
+        "@biomejs/biome": "latest",
+        "@types/bun": "latest",
+        "@types/node": "^26.6.2",
+        "@types/pg": "^8.23.1",
+        "@types/ws": "^8.18.1",
+        "drizzle-kit": "^0.31.11",
+        "tsx": "^4.23.15",
+        "typescript": "^7.0.2",
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+
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+
+    "tsx/esbuild/@esbuild/win32-x64": ["@esbuild/win32-x64@0.28.2", "", { "os": "win32", "cpu": "x64" }, "sha512-5ebpxr3nWMzrL/rnUI755Jkuee0bHL/Gq0WTF9lvcpv73wAp5eu8MfBUgWK9bhWvZjj7yX8etf/8tI8Ney695g=="],
+
+    "fetch-cookie/tough-cookie/tldts/tldts-core": ["tldts-core@7.4.9", "", {}, "sha512-DxKfPBI52p2msTEu7MPhdpdDTBhhVQg1a/8PjQckeyAvO13eMYElX545grIp6nnTGIMZlRvFZPvFhvI/WIz2Vg=="],
+  }
+}
@@ -0,0 +1,2 @@
+[test]
+preload = ["./tests/setup-env.ts"]
@@ -17,10 +17,8 @@
    "typecheck": "tsc --noEmit",
    "lint": "biome check --diagnostic-level=error .",
    "format": "biome format --write .",
-    "test": "vitest run",
-    "test:unit": "vitest run --exclude \"tests/llmE2e.test.ts\"",
-    "test:e2e": "vitest run tests/llmE2e.test.ts",
-    "test:e2e:live": "bash scripts/run-llm-e2e.sh"
+    "test": "bun test tests/",
+    "test:e2e": "bun test tests/llmE2e.test.ts"
  },
  "dependencies": {
    "axios": "^1.20.0",
@@ -43,12 +41,13 @@
  },
  "devDependencies": {
    "@biomejs/biome": "latest",
-    "@types/node": "^26.4.0",
+    "@types/node": "^26.6.2",
    "@types/pg": "^8.23.1",
    "@types/ws": "^8.18.1",
-    "drizzle-kit": "^0.31.10",
+    "drizzle-kit": "^0.31.11",
    "tsx": "^4.23.15",
    "typescript": "^7.0.2",
-    "vitest": "latest"
-  }
-}
+    "@types/bun": "latest"
+  },
+  "packageManager": "bun@1.3.14"
+}
@@ -1,19 +0,0 @@
-allowBuilds:
-  "@discordjs/opus": true
-  "@lng2004/node-datachannel": true
-  esbuild: true
-  node-av: true
-  sharp: true
-  zeromq: true
-# pnpm 11 requires build-script approvals here (the legacy `pnpm` field in
-# package.json is ignored). Native voice deps need their postinstall build.
-# NOTE: sharp sengaja TIDAK ada — binary-nya dari @img/sharp-linux-x64
-# (prebuilt), install script-nya cuma validasi dan gagal di Nix sandbox.
-# Kalau script sharp dijalankan pnpm rebuild abort sebelum opus/datachannel
-# kebangun. node-crc dihapus dari deps (tidak pernah di-import).
-onlyBuiltDependencies:
-  - "@discordjs/opus"
-  - "@lng2004/node-datachannel"
-  - esbuild
-  - node-av
-  - zeromq
@@ -1,36 +1,19 @@
 import { Client } from "discord.js-selfbot-v13";
-import { ConfigError, DatabaseError } from "@/shared/errors/index";
-import { createChildLogger } from "@/shared/logger/index";
 import {
-  getAnalysisQueueStatus,
-  startPendingAIAnalysisWorker,
-} from "../modules/ai-moderation/aiAnalyzer.js";
-import {
-  mediaWorkerPool,
-  textWorkerPool,
-} from "../modules/ai-moderation/circuitBreaker.js";
-import { registerChannelTopicCapture } from "../modules/channel-topic/index.js";
+  ConfigError,
+  DatabaseError,
+  errorMessage,
+} from "@/shared/errors/index.js";
+import { createChildLogger } from "@/shared/logger/index.js";
 import { CommandHandler } from "../modules/command-handler/commandHandler.js";
 import {
  EventBroadcaster,
  RedisEventPublisher,
 } from "../modules/event-broadcaster/index.js";
 import {
-  registerCollector,
-  setGauge,
  startMetricsServer,
  stopMetricsServer,
 } from "../modules/gateway-metrics/index.js";
-import { registerGuildMemberEvents } from "../modules/guild-member-events/index.js";
-import {
-  registerMessageCapture,
-  setEventBroadcaster as setMessageCaptureEventBroadcaster,
-} from "../modules/message-capture/messageCapture.js";
-import { setModerationEventBroadcaster } from "../modules/message-capture/moderationActionsDb.js";
-import { startDigestScheduler } from "../modules/monitor/digestScheduler.js";
-import { registerReactionCapture } from "../modules/reaction-tracking/index.js";
-import { registerThreadCapture } from "../modules/thread-tracking/index.js";
-import { registerPresenceCapture } from "../modules/user-presence/index.js";
 import { config } from "../shared/config/index.js";
 import {
  closeDatabase,
@@ -38,45 +21,34 @@ import {
 } from "../shared/database/drizzle.js";
 import { runMigrations } from "../shared/database/migrate.js";
 import { createDiscordClientOptions } from "../shared/discord/clientOptions.js";
-import { startRetentionCleanup } from "./retention.js";
+import { startGatewayLifecycle } from "./lifecycle.js";
+import { registerPipelineMetrics } from "./metrics-collector.js";
+import { registerProcessGuards } from "./process-guards.js";
 import { createGracefulShutdown } from "./shutdown.js";

 const logger = createChildLogger("discord-gateway");

 // ─── Bootstrap ─────────────────────────────────────────────────────────────
+//
+// Startup order:
+//   1. validate config            (fail fast on missing AI credentials)
+//   2. connect infrastructure     (migrations → DB pool)
+//   3. build long-lived services  (Discord client, Redis publisher, command
+//                                  handler) + install shutdown/process guards
+//   4. start observability        (pipeline gauges → metrics server)
+//   5. log in                     (ready-hook wires listeners via lifecycle.ts)

-export async function initializeDiscordGateway() {
+/** Refuse to start when AI analysis is on but no LLM credentials exist. */
+function assertConfigIsUsable(): void {
  if (config.AI_ANALYSIS_ENABLED && !config.AI_LLM_API_KEY) {
    throw new ConfigError(
      "AI_ANALYSIS_ENABLED=true but AI_LLM_API_KEY is missing from environment. AI analysis cannot run without credentials.",
    );
  }
+}

-  const token = config.DISCORD_TOKEN;
-  logger.info(
-    { hasToken: token.length > 0, tokenLength: token.length },
-    "Config loaded",
-  );
-
-  logger.info("Creating Discord client");
-  const client = new Client(createDiscordClientOptions());
-
-  // Initialize Redis event broadcaster
-  const redisPublisher = new RedisEventPublisher(config.REDIS_URL, logger);
-  const eventBroadcaster = new EventBroadcaster(redisPublisher);
-
-  // Initialize Redis command handler for backend→gateway commands
-  const commandHandler = new CommandHandler();
-
-  const gracefulShutdown = createGracefulShutdown({
-    logger,
-    closeDatabase,
-    client,
-    eventBroadcaster,
-    commandHandler,
-    stopMetricsServer,
-  });
-
+/** Run migrations (when enabled) then open the PostgreSQL pool. */
+async function connectDatabase(): Promise<void> {
  try {
    if (config.AUTO_MIGRATE_ON_STARTUP) {
      logger.info(
@@ -90,183 +62,79 @@ export async function initializeDiscordGateway() {
    logger.info("PostgreSQL database initialized");
  } catch (err) {
    logger.error(
-      { err, errorMsg: err instanceof Error ? err.message : String(err) },
+      { err, errorMsg: errorMessage(err) },
      "Failed to initialize database",
    );
    throw new DatabaseError(
-      `Database initialization failed: ${err instanceof Error ? err.message : String(err)}`,
+      `Database initialization failed: ${errorMessage(err)}`,
    );
  }
+}

+/** Log only client debug lines that carry signal (errors/streams, or VERBOSE). */
+function registerClientDebugLogging(client: Client): void {
  client.on("debug", (msg) => {
-    if (
-      msg.toLowerCase().includes("error") ||
-      msg.toLowerCase().includes("stream")
-    ) {
+    const lower = msg.toLowerCase();
+    if (lower.includes("error") || lower.includes("stream")) {
      logger.info({ debugMsg: msg }, "Discord Client Debug");
    } else if (config.VERBOSE) {
      logger.debug({ debugMsg: msg }, "Discord Client Debug");
    }
  });
+}

-  client.on("ready", async () => {
+export async function initializeDiscordGateway() {
+  assertConfigIsUsable();
+
+  const token = config.DISCORD_TOKEN;
+  logger.info(
+    { hasToken: token.length > 0, tokenLength: token.length },
+    "Config loaded",
+  );
+
+  logger.info("Creating Discord client");
+  const client = new Client(createDiscordClientOptions());
+
+  // Long-lived services: Redis event broadcaster (gateway → backend) and the
+  // Redis command handler (backend → gateway).
+  const redisPublisher = new RedisEventPublisher(config.REDIS_URL, logger);
+  const eventBroadcaster = new EventBroadcaster(redisPublisher);
+  const commandHandler = new CommandHandler();
+
+  const gracefulShutdown = createGracefulShutdown({
+    logger,
+    closeDatabase,
+    client,
+    eventBroadcaster,
+    commandHandler,
+    stopMetricsServer,
+  });
+
+  await connectDatabase();
+
+  registerClientDebugLogging(client);
+
+  client.on("ready", () => {
    logger.info({ user: client.user?.tag }, "Bot logged in");
-    setMessageCaptureEventBroadcaster(eventBroadcaster);
-    setModerationEventBroadcaster(eventBroadcaster);
-    registerMessageCapture(client);
-    startPendingAIAnalysisWorker(client, eventBroadcaster);
-
-    // Register new event captures
-    registerReactionCapture(client, eventBroadcaster);
-    registerThreadCapture(client, eventBroadcaster);
-    registerPresenceCapture(client, eventBroadcaster);
-    registerChannelTopicCapture(client, eventBroadcaster);
-    registerGuildMemberEvents(client, eventBroadcaster);
-
-    // Start command handler after Discord is ready
-    commandHandler.start(client);
-    logger.info("Command handler started");
-
-    // Start retention cleanup scheduler
-    startRetentionCleanup();
-    // Start weekly moderation digest (public, automated)
-    startDigestScheduler();
+    startGatewayLifecycle({
+      client,
+      eventBroadcaster,
+      commandHandler,
+      logger,
+    });
  });

  client.on("error", (err) => {
-    logger.error(
-      { err, errorMsg: err instanceof Error ? err.message : String(err) },
-      "Client error",
-    );
+    logger.error({ err, errorMsg: errorMessage(err) }, "Client error");
  });

-  process.on("SIGINT", () => {
-    gracefulShutdown("SIGINT");
-  });
+  registerProcessGuards(logger, gracefulShutdown);

-  process.on("SIGTERM", () => {
-    gracefulShutdown("SIGTERM");
-  });
-
-  process.on("uncaughtException", (err) => {
-    const code =
-      typeof (err as NodeJS.ErrnoException).code === "string"
-        ? (err as NodeJS.ErrnoException).code
-        : "";
-    // Transient stream-teardown errors (voice stop/disconnect races, child
-    // process stdin closed while we still write) are NOT fatal — crashing the
-    // gateway on EPIPE takes the whole bot offline mid-music. Log + continue.
-    if (
-      code === "EPIPE" ||
-      code === "ERR_STREAM_DESTROYED" ||
-      code === "ERR_STREAM_WRITE_AFTER_END" ||
-      code === "ECONNRESET"
-    ) {
-      logger.warn(
-        { error: err },
-        "Uncaught transient stream error — continuing",
-      );
-      return;
-    }
-    logger.error(
-      {
-        err,
-        errorMsg: err instanceof Error ? err.message : String(err),
-        stack: err?.stack,
-      },
-      "Uncaught exception",
-    );
-    gracefulShutdown("uncaughtException");
-  });
-
-  process.on("unhandledRejection", (reason) => {
-    const err =
-      reason instanceof Error ? reason : new Error(String(reason ?? "unknown"));
-    const code = (err as NodeJS.ErrnoException).code ?? "";
-    // Same transient-teardown policy as uncaughtException: a rejection that
-    // fires while a stream is being torn down (EPIPE after ffmpeg stdin
-    // closes, write-after-destroy, socket reset) must NOT take the whole
-    // gateway offline. Log detail + continue. Everything else still shuts
-    // down so real bugs surface.
-    if (
-      code === "EPIPE" ||
-      code === "ERR_STREAM_DESTROYED" ||
-      code === "ERR_STREAM_WRITE_AFTER_END" ||
-      code === "ECONNRESET"
-    ) {
-      logger.warn(
-        { error: err },
-        "Unhandled rejection transient stream error — continuing",
-      );
-      return;
-    }
-    logger.error({ error: err, reason: String(reason) }, "Unhandled rejection");
-    gracefulShutdown("unhandledRejection");
-  });
-
-  // ── Metrics: register live pipeline collectors before starting server ──
-  // These refresh on every scrape so Prometheus sees real AI-analysis
-  // queue depth, concurrency, and DB pool state instead of an empty stub.
-  registerCollector(() => {
-    if (!config.AI_ANALYSIS_ENABLED) return;
-    try {
-      const status = getAnalysisQueueStatus();
-      setGauge("ai_analysis_queued_conversations", status.queuedConversations);
-      setGauge("ai_analysis_active_batch_requests", status.activeRequests);
-      setGauge(
-        "ai_analysis_active_text_requests",
-        status.activeTextRequests ?? status.activeRequests,
-      );
-      setGauge(
-        "ai_analysis_active_media_requests",
-        status.activeMediaRequests ?? 0,
-      );
-      setGauge(
-        "ai_analysis_active_individual_requests",
-        status.activeIndividualRequests,
-      );
-      setGauge(
-        "ai_analysis_individual_in_flight",
-        status.individualInFlightCount,
-      );
-      setGauge(
-        "ai_analysis_individual_circuit_breaker_active",
-        status.individualCircuitBreakerActive ? 1 : 0,
-      );
-      if (typeof status.lastError === "string") {
-        setGauge("ai_analysis_last_error_present", status.lastError ? 1 : 0);
-      }
-      type PoolState = { _poolState?: { size: number; active: number } };
-      const textPool = textWorkerPool as unknown as PoolState;
-      const mediaPool = mediaWorkerPool as unknown as PoolState;
-      // Reported per queue (2026-08-31 text/media pool split) so the text
-      // and media backlogs are distinguishable in dashboards/alerts instead
-      // of one combined "worker threads" number.
-      if (textPool._poolState) {
-        setGauge("ai_analysis_worker_threads_text", textPool._poolState.size);
-        setGauge(
-          "ai_analysis_worker_threads_active_text",
-          textPool._poolState.active,
-        );
-      }
-      if (mediaPool._poolState) {
-        setGauge("ai_analysis_worker_threads_media", mediaPool._poolState.size);
-        setGauge(
-          "ai_analysis_worker_threads_active_media",
-          mediaPool._poolState.active,
-        );
-      }
-    } catch (err) {
-      logger.warn({ error: String(err) }, "AI metrics collector failed");
-    }
-  });
-
-  // Start metrics server
+  // Metrics: register live pipeline collectors before starting the server.
+  registerPipelineMetrics(logger);
  startMetricsServer();

  logger.info("Calling Discord client.login");
-
-  // Fix: use await + try/catch instead of .then().catch()
  try {
    await client.login(token);
    logger.info("Discord client logged in successfully");
@@ -0,0 +1,61 @@
+import type { Client } from "discord.js-selfbot-v13";
+import type { Logger } from "@/shared/logger/index.js";
+import { startPendingAIAnalysisWorker } from "../modules/ai-moderation/index.js";
+import { registerChannelTopicCapture } from "../modules/channel-topic/index.js";
+import type { CommandHandler } from "../modules/command-handler/commandHandler.js";
+import type { EventBroadcaster } from "../modules/event-broadcaster/index.js";
+import { registerGuildMemberEvents } from "../modules/guild-member-events/index.js";
+import {
+  registerMessageCapture,
+  setEventBroadcaster as setMessageCaptureEventBroadcaster,
+  setModerationEventBroadcaster,
+} from "../modules/message-capture/index.js";
+import { startDigestScheduler } from "../modules/monitor/digestScheduler.js";
+import { registerReactionCapture } from "../modules/reaction-tracking/index.js";
+import { registerThreadCapture } from "../modules/thread-tracking/index.js";
+import { registerPresenceCapture } from "../modules/user-presence/index.js";
+import { startRetentionCleanup } from "./retention.js";
+
+export interface GatewayLifecycleOptions {
+  client: Client;
+  eventBroadcaster: EventBroadcaster;
+  commandHandler: CommandHandler;
+  logger: Logger;
+}
+
+/**
+ * Wires everything that must start once Discord is connected.
+ *
+ * Ordering matters:
+ *  1. Inject the event broadcaster into the modules that publish events —
+ *     they must be able to publish before their listeners are registered.
+ *  2. Register the Discord event listeners (capture modules).
+ *  3. Start the background workers/schedulers.
+ */
+export function startGatewayLifecycle({
+  client,
+  eventBroadcaster,
+  commandHandler,
+  logger,
+}: GatewayLifecycleOptions): void {
+  // 1. Inject broadcaster first so no captured event is dropped.
+  setMessageCaptureEventBroadcaster(eventBroadcaster);
+  setModerationEventBroadcaster(eventBroadcaster);
+
+  // 2. Discord event listeners.
+  registerMessageCapture(client);
+  registerReactionCapture(client, eventBroadcaster);
+  registerThreadCapture(client, eventBroadcaster);
+  registerPresenceCapture(client, eventBroadcaster);
+  registerChannelTopicCapture(client, eventBroadcaster);
+  registerGuildMemberEvents(client, eventBroadcaster);
+
+  // 3. Background workers + schedulers.
+  startPendingAIAnalysisWorker(client, eventBroadcaster);
+  commandHandler.start(client);
+  logger.info("Command handler started");
+
+  startRetentionCleanup();
+  // Weekly moderation digest (public, automated)
+  startDigestScheduler();
+}
@@ -0,0 +1,77 @@
+import type { Logger } from "@/shared/logger/index.js";
+import {
+  getAnalysisQueueStatus,
+  mediaWorkerPool,
+  textWorkerPool,
+} from "../modules/ai-moderation/index.js";
+import {
+  registerCollector,
+  setGauge,
+} from "../modules/gateway-metrics/index.js";
+import { config } from "../shared/config/index.js";
+
+/** Piscina exposes its live thread counters on `_poolState`. */
+type PoolState = { _poolState?: { size: number; active: number } };
+
+/**
+ * Registers the AI-pipeline Prometheus gauges.
+ *
+ * The collector refreshes on every scrape, so Prometheus sees real queue
+ * depth / concurrency / worker-thread state instead of an empty stub.
+ * Registered before the metrics server starts.
+ */
+export function registerPipelineMetrics(logger: Logger): void {
+  registerCollector(() => {
+    if (!config.AI_ANALYSIS_ENABLED) return;
+    try {
+      const status = getAnalysisQueueStatus();
+      setGauge("ai_analysis_queued_conversations", status.queuedConversations);
+      setGauge("ai_analysis_active_batch_requests", status.activeRequests);
+      setGauge(
+        "ai_analysis_active_text_requests",
+        status.activeTextRequests ?? status.activeRequests,
+      );
+      setGauge(
+        "ai_analysis_active_media_requests",
+        status.activeMediaRequests ?? 0,
+      );
+      setGauge(
+        "ai_analysis_active_individual_requests",
+        status.activeIndividualRequests,
+      );
+      setGauge(
+        "ai_analysis_individual_in_flight",
+        status.individualInFlightCount,
+      );
+      setGauge(
+        "ai_analysis_individual_circuit_breaker_active",
+        status.individualCircuitBreakerActive ? 1 : 0,
+      );
+      if (typeof status.lastError === "string") {
+        setGauge("ai_analysis_last_error_present", status.lastError ? 1 : 0);
+      }
+
+      // Reported per queue (2026-08-31 text/media pool split) so the text
+      // and media backlogs are distinguishable in dashboards/alerts instead
+      // of one combined "worker threads" number.
+      const textPool = textWorkerPool as unknown as PoolState;
+      const mediaPool = mediaWorkerPool as unknown as PoolState;
+      if (textPool._poolState) {
+        setGauge("ai_analysis_worker_threads_text", textPool._poolState.size);
+        setGauge(
+          "ai_analysis_worker_threads_active_text",
+          textPool._poolState.active,
+        );
+      }
+      if (mediaPool._poolState) {
+        setGauge("ai_analysis_worker_threads_media", mediaPool._poolState.size);
+        setGauge(
+          "ai_analysis_worker_threads_active_media",
+          mediaPool._poolState.active,
+        );
+      }
+    } catch (err) {
+      logger.warn({ error: String(err) }, "AI metrics collector failed");
+    }
+  });
+}
@@ -0,0 +1,61 @@
+import { errorMessage, isTransientStreamError } from "@/shared/errors/index.js";
+import type { Logger } from "@/shared/logger/index.js";
+import type { GracefulShutdown } from "./shutdown.js";
+
+/**
+ * Process-level signal + error guards.
+ *
+ * Extracted from bootstrap so the "what keeps the gateway alive vs what
+ * shuts it down" policy lives in exactly one place.
+ *
+ * Policy: transient stream-teardown failures (EPIPE / ERR_STREAM_DESTROYED /
+ * ERR_STREAM_WRITE_AFTER_END / ECONNRESET) are logged and IGNORED — crashing
+ * the gateway on them (voice stop/disconnect races, a child process stdin
+ * closed while we still write) takes the whole bot offline mid-operation.
+ * Anything else is a real bug: log with stack and shut down cleanly.
+ */
+export function registerProcessGuards(
+  logger: Logger,
+  gracefulShutdown: GracefulShutdown,
+): void {
+  process.on("SIGINT", () => {
+    gracefulShutdown("SIGINT");
+  });
+
+  process.on("SIGTERM", () => {
+    gracefulShutdown("SIGTERM");
+  });
+
+  process.on("uncaughtException", (err) => {
+    if (isTransientStreamError(err)) {
+      logger.warn(
+        { error: err },
+        "Uncaught transient stream error — continuing",
+      );
+      return;
+    }
+    logger.error(
+      {
+        err,
+        errorMsg: errorMessage(err),
+        stack: err?.stack,
+      },
+      "Uncaught exception",
+    );
+    gracefulShutdown("uncaughtException");
+  });
+
+  process.on("unhandledRejection", (reason) => {
+    const err =
+      reason instanceof Error ? reason : new Error(String(reason ?? "unknown"));
+    if (isTransientStreamError(err)) {
+      logger.warn(
+        { error: err },
+        "Unhandled rejection transient stream error — continuing",
+      );
+      return;
+    }
+    logger.error({ error: err, reason: String(reason) }, "Unhandled rejection");
+    gracefulShutdown("unhandledRejection");
+  });
+}
@@ -1,8 +1,5 @@
 import { inArray, lt } from "drizzle-orm";
-import type {
-  NodePgDatabase,
-  NodePgQueryResultHKT,
-} from "drizzle-orm/node-postgres";
+import type { NodePgDatabase } from "drizzle-orm/node-postgres";
 import { createChildLogger } from "@/shared/logger/index";
 import { config } from "../shared/config/index.js";
 import { getDatabase } from "../shared/database/drizzle.js";
@@ -1,5 +1,9 @@
 import type { Client } from "discord.js-selfbot-v13";
 import type { createChildLogger } from "@/shared/logger/index";
+import {
+  mediaWorkerPool,
+  textWorkerPool,
+} from "../modules/ai-moderation/circuitBreaker.js";
 import type { CommandHandler } from "../modules/command-handler/commandHandler.js";
 import type { EventBroadcaster } from "../modules/event-broadcaster/index.js";
 import type { stopMetricsServer } from "../modules/gateway-metrics/index.js";
@@ -45,6 +49,30 @@ export function createGracefulShutdown(
      options.logger.info("Closing command handler...");
      await options.commandHandler.close();

+      // ½. Tear down AI-analysis worker pools BEFORE closing the DB.
+      // Piscina worker threads survive process.exit() as orphans otherwise —
+      // they keep holding DB connections/locks after the main process is gone.
+      // (Two live gateways fighting over the same rows was the root cause of
+      // messages stuck in ai_status='processing'.)
+      options.logger.info("Destroying AI worker pools...");
+      const destroyPool = (pool: { destroy: () => Promise<void> }) =>
+        Promise.race([
+          pool.destroy(),
+          new Promise<void>((resolve) =>
+            setTimeout(() => {
+              options.logger.warn(
+                "Timed out destroying worker pool; exiting anyway",
+              );
+              resolve();
+            }, 5000),
+          ),
+        ]);
+      await Promise.allSettled([
+        destroyPool(textWorkerPool),
+        destroyPool(mediaWorkerPool),
+      ]);
+      options.logger.info("AI worker pools destroyed");
+
      // 2. DB pool
      options.logger.info("Closing database...");
      await options.closeDatabase();
@@ -12,28 +12,14 @@ import {
  buildSkipAnalysisUserResult,
  isAgeRestrictedMessage,
  isSkipAnalysisUser,
-  skipAgeRestrictedMessages,
-  skipAnalysisUserMessages,
 } from "./batchProcessor.js";
 import { scheduleConversationAnalysis } from "./batchScheduler.js";
 import { getConversationKey } from "./circuitBreaker.js";
-import {
-  ANALYSIS_LANES,
-  type AnalysisLane,
-  clearConversationProcessing,
-  conversationConsecutiveErrors,
-  conversationDebounceTimers,
-  conversationErrorCooldown,
-  conversationProcessing,
-  isConversationProcessingLocked,
-} from "./conversationState.js";
+import { conversationDebounceTimers } from "./conversationState.js";
 import {
  activeIndividualRequests,
-  enqueueIndividualFallbacks,
  individualCooldownUntil,
  individualInFlight,
-  individualInFlightByConversation,
-  individualInFlightLastTouched,
 } from "./individualFallbackProcessor.js";
 import {
  broadcastAnalysisCompleted,
@@ -41,31 +27,20 @@ import {
  setModerationClient,
  setSharedEventBroadcaster,
 } from "./moderationState.js";
-import { deleteExpiredQdrantPoints } from "./qdrantClient.js";
-import { pruneExpiredTexts } from "./textCacheStore.js";
+import { startRecoveryWorker } from "./recovery-worker.js";

 const logger = createChildLogger("ai-analyzer");

 // ---------------------------------------------------------------------------
-// Cache hygiene (expired verdict sweep)
-// ---------------------------------------------------------------------------
-const CACHE_PRUNE_INTERVAL_MS = 6 * 60 * 60 * 1000; // every 6 hours
-let lastCachePruneAt = 0;
-
-// ---------------------------------------------------------------------------
-// Re-exports from sub-modules (preserving original public API)
-// ---------------------------------------------------------------------------
-
-export { pickBatchWithinBudget } from "./batchProcessor.js";
-export { getConversationKey } from "./circuitBreaker.js";
-export { onCircuitBreakerAlert } from "./conversationState.js";
-
-// ---------------------------------------------------------------------------
-// Public API
+// Public API — queueing, status, worker startup
 // ---------------------------------------------------------------------------

 /**
 * Queues a message for analysis (debounced by conversation).
+ *
+ * Messages that never need an LLM call are short-circuited here and recorded
+ * with their skip verdict: age-restricted messages and configured skip-list
+ * users.
 */
 export async function queueMessageAnalysis(messageId: string): Promise<void> {
  if (!config.AI_ANALYSIS_ENABLED) return;
@@ -78,13 +53,7 @@ export async function queueMessageAnalysis(messageId: string): Promise<void> {
    }

    if (isAgeRestrictedMessage(message)) {
-      const updated = await messageStore.updateMessageAIAnalysis(
-        message.id,
-        buildAgeRestrictedSkipResult(),
-      );
-      if (updated) {
-        broadcastAnalysisCompleted(updated);
-      }
+      await recordSkip(message.id, buildAgeRestrictedSkipResult());
      logger.debug(
        { messageId },
        "Skipped AI analysis for age-restricted message",
@@ -93,13 +62,7 @@ export async function queueMessageAnalysis(messageId: string): Promise<void> {
    }

    if (isSkipAnalysisUser(message)) {
-      const updated = await messageStore.updateMessageAIAnalysis(
-        message.id,
-        buildSkipAnalysisUserResult(),
-      );
-      if (updated) {
-        broadcastAnalysisCompleted(updated);
-      }
+      await recordSkip(message.id, buildSkipAnalysisUserResult());
      logger.debug(
        { messageId, userId: message.user_id },
        "Skipped AI analysis for configured skip-list user",
@@ -119,6 +82,17 @@ export async function queueMessageAnalysis(messageId: string): Promise<void> {
  }
 }

+/** Persist a skip verdict and broadcast it so the dashboard reflects it. */
+async function recordSkip(
+  messageId: string,
+  result: Parameters<typeof messageStore.updateMessageAIAnalysis>[1],
+): Promise<void> {
+  const updated = await messageStore.updateMessageAIAnalysis(messageId, result);
+  if (updated) {
+    broadcastAnalysisCompleted(updated);
+  }
+}
+
 /**
 * Queues a conversation for analysis (debounced).
 */
@@ -144,11 +118,12 @@ export function getAnalysisQueueStatus(): AnalysisQueueStatus {
 }

 /**
- * Starts the periodic recovery worker.
+ * Starts the background workers behind the analysis pipeline:
+ *  - the recovery worker (stranded pending / incomplete messages + cache prune)
+ *  - the optional culture and user-profile learners.
 *
- * Now also recovers messages stuck in `error/analysis_incomplete`
- * state (not just `pending`), and skips conversations that already have
- * individual fallback work in progress to avoid DB last-write-wins races.
+ * Also injects the Discord client and event broadcaster into the pipeline
+ * state so downstream modules can act and publish.
 */
 export function startPendingAIAnalysisWorker(
  client?: Client,
@@ -167,151 +142,5 @@ export function startPendingAIAnalysisWorker(
      .catch(console.error);
  }

-  setInterval(() => {
-    // [D] Periodic cache hygiene: purge expired moderation verdicts from
-    // Postgres and Qdrant. Expired entries are never reused (filters check
-    // expires_at) but accumulate forever without this sweep.
-    const now = Date.now();
-    if (now - lastCachePruneAt >= CACHE_PRUNE_INTERVAL_MS) {
-      lastCachePruneAt = now;
-      Promise.all([pruneExpiredTexts(), deleteExpiredQdrantPoints()])
-        .then(([pgDeleted, qdDeleted]) => {
-          if (pgDeleted > 0 || qdDeleted > 0) {
-            logger.info(
-              { pgDeleted, qdDeleted },
-              "Expired moderation cache pruned",
-            );
-          }
-        })
-        .catch((err: unknown) => {
-          logger.warn({ error: String(err) }, "Moderation cache prune failed");
-        });
-    }
-
-    // Only revert stuck processing messages if there's active processing.
-    // Avoids a DB query every recovery interval when the pipeline is idle.
-    if (conversationProcessing.size > 0) {
-      messageStore
-        .revertStuckProcessingMessages(300000)
-        .catch((err: unknown) => {
-          logger.error(
-            { error: String(err) },
-            "Failed to run stuck processing recovery",
-          );
-        });
-    }
-
-    Promise.all([
-      messageStore.getPendingConversationKeys(500),
-      messageStore.getConversationKeysWithIncompleteAnalysis(200),
-    ])
-      .then(([pendingKeys, incompleteKeys]) => {
-        const now = Date.now();
-
-        for (const [key, expiry] of conversationErrorCooldown) {
-          if (now >= expiry) conversationErrorCooldown.delete(key);
-        }
-        // conversationProcessing is now a Partial<Record<lane, startedAt>>.
-        // Prune stale lane slots individually so one stale lane never clears
-        // the other lane's healthy lock.
-        for (const [key, record] of conversationProcessing) {
-          for (const lane of ANALYSIS_LANES as readonly AnalysisLane[]) {
-            const startedAt = record?.[lane];
-            if (
-              startedAt &&
-              now - startedAt >= config.AI_ANALYSIS_PROCESSING_TIMEOUT_MS
-            ) {
-              clearConversationProcessing(key, lane);
-            }
-          }
-        }
-
-        const staleThreshold = config.AI_ANALYSIS_PROCESSING_TIMEOUT_MS * 2;
-        for (const [key, lastTouched] of individualInFlightLastTouched) {
-          if (now - lastTouched >= staleThreshold) {
-            individualInFlightLastTouched.delete(key);
-            individualInFlightByConversation.delete(key);
-            logger.warn(
-              { key },
-              "Pruned stale individualInFlightByConversation entry",
-            );
-          }
-        }
-
-        // Also prune stale per-conversation CB error counts that have cooled
-        // down so old conversations can be retried.
-        for (const [key] of conversationConsecutiveErrors) {
-          const cbExpire = conversationErrorCooldown.get(key) ?? 0;
-          if (cbExpire && now >= cbExpire) {
-            conversationConsecutiveErrors.delete(key);
-          }
-        }
-
-        const incompleteKeySet = new Set(incompleteKeys);
-
-        // --- Batch recovery for pending messages ---
-        for (const key of pendingKeys) {
-          if (
-            ANALYSIS_LANES.some((lane) =>
-              conversationDebounceTimers.has(`${key}::${lane}`),
-            )
-          ) {
-            continue;
-          }
-          // Batch recovery must not race ANY in-flight batch lane, so the
-          // lock check is lane-agnostic here (individual fallback handles
-          // error rows separately).
-          if (isConversationProcessingLocked(key)) continue;
-          if (individualInFlightByConversation.has(key)) continue;
-          if (incompleteKeySet.has(key)) continue;
-          const cooldownUntil = conversationErrorCooldown.get(key);
-          if (cooldownUntil && now < cooldownUntil) continue;
-          // No lane specified → schedule BOTH lanes; each fetches its own
-          // pending subset from the DB.
-          scheduleConversationAnalysis(key);
-        }
-
-        // --- Individual recovery for error/analysis_incomplete messages ---
-        // Circuit breaker check: no point iterating if individual CB is active.
-        if (now >= individualCooldownUntil) {
-          const promises: Promise<void>[] = [];
-          for (const key of incompleteKeys) {
-            // Skip if individual work is already running for this conversation.
-            if (individualInFlightByConversation.has(key)) continue;
-            // Skip if batch processing is running.
-            if (isConversationProcessingLocked(key)) continue;
-
-            promises.push(
-              messageStore
-                .getIncompleteMessagesByConversation(key, 500)
-                .then(async (msgs) => {
-                  const processableMessages = await skipAnalysisUserMessages(
-                    await skipAgeRestrictedMessages(msgs),
-                  );
-                  return processableMessages;
-                })
-                .then((msgs) => {
-                  if (msgs.length > 0) {
-                    enqueueIndividualFallbacks(msgs);
-                  }
-                })
-                .catch((err: unknown) => {
-                  logger.error(
-                    { key, error: String(err) },
-                    "Failed to fetch incomplete messages for recovery",
-                  );
-                }),
-            );
-          }
-          // Errors are handled per-key; return the combined promise for observability.
-          return Promise.all(promises);
-        }
-      })
-      .catch((err: unknown) => {
-        logger.error(
-          { error: err instanceof Error ? err.message : String(err) },
-          "Pending AI analysis recovery worker failed",
-        );
-      });
-  }, config.AI_ANALYSIS_RECOVERY_INTERVAL_MS);
+  startRecoveryWorker();
 }
@@ -35,8 +35,17 @@ export function deriveSeverity(msg: MessageRecord): string {

 /** Derive recommended action from legacy messages that lack structured AI fields. */
 export function deriveRecommendedAction(msg: MessageRecord): string {
-  if (msg.ai_recommended_action) return msg.ai_recommended_action;
  const severity = deriveSeverity(msg);
+  // Flagged at high/critical severity is ALWAYS delete — the stored
+  // recommended_action from the LLM is conservative (often "review") and
+  // must not override severity for severe violations.
+  if (
+    msg.ai_status === "flagged" &&
+    (severity === "critical" || severity === "high")
+  ) {
+    return "delete";
+  }
+  if (msg.ai_recommended_action) return msg.ai_recommended_action;
  if (
    msg.ai_status === "flagged" &&
    (severity === "critical" || severity === "high" || severity === "medium")
@@ -177,19 +186,36 @@ export function isEligibleForAutoDelete(
    return false;
  }

-  // Recommended action check
-  const recommendedAction =
-    analysisResult?.recommendedAction ?? deriveRecommendedAction(message);
+  // Recommended action check.
+  // CRITICAL: the LLM's `recommended_action` is CONSERVATIVE — for a flagged
+  // message at high/critical severity it frequently emits "review" (it sees a
+  // screenshot/context ambiguity and hedges) even when the violation itself is
+  // severe. Trusting that value lets serious violations (harassment, SARA,
+  // threats) slip through undeleted. So: flagged + high/critical severity is
+  // ALWAYS eligible regardless of the LLM's recommended action. The action
+  // check only gates warn/flagged-medium (where a review is legitimate).
  if (
-    recommendedAction !== "delete" &&
-    recommendedAction !== "escalate" &&
-    recommendedAction !== "warn"
+    status === "flagged" &&
+    (severity === "high" || severity === "critical")
  ) {
    logger.debug(
-      { messageId: message.id, recommendedAction },
-      "Message not eligible for auto-delete: recommended action is not delete/escalate/warn",
+      { messageId: message.id, status, severity },
+      "Message eligible for auto-delete: flagged with high/critical severity",
    );
-    return false;
+  } else {
+    const recommendedAction =
+      analysisResult?.recommendedAction ?? deriveRecommendedAction(message);
+    if (
+      recommendedAction !== "delete" &&
+      recommendedAction !== "escalate" &&
+      recommendedAction !== "warn"
+    ) {
+      logger.debug(
+        { messageId: message.id, recommendedAction },
+        "Message not eligible for auto-delete: recommended action is not delete/escalate/warn",
+      );
+      return false;
+    }
  }

  // Categories check
@@ -43,3 +43,22 @@ export function pickBatchWithinBudget(

  return batch;
 }
+
+/**
+ * Returns the messages that were fetched/claimed but did NOT make it into the
+ * trimmed batch (i.e. the tail past the token budget).
+ *
+ * The DB claim step flips every fetched pending row to `processing`; the batch
+ * trim may then stop early on the token budget. Those tail rows would stay
+ * stuck in `processing` forever unless the caller explicitly un-claims them —
+ * this helper identifies exactly which rows that is, so the caller can write
+ * them back to `pending` for the next wave.
+ */
+export function computeBudgetOverflowMessages(
+  claimed: MessageRecord[],
+  trimmed: MessageRecord[],
+): MessageRecord[] {
+  if (trimmed.length === 0) return claimed;
+  const trimmedIds = new Set(trimmed.map((m) => m.id));
+  return claimed.filter((m) => !trimmedIds.has(m.id));
+}
@@ -3,6 +3,7 @@ import { config } from "../../shared/config/index.js";
 import { messageStore } from "../message-capture/messageStore.js";
 import type { MessageRecord } from "../message-capture/types.js";
 import { type AnalysisLane, splitMessagesByLane } from "./analysisLanes.js";
+import { computeBudgetOverflowMessages } from "./batchBudget.js";
 import {
  pickBatchWithinBudget,
  processBatch,
@@ -96,10 +97,18 @@ function scheduleLaneTimer(
    conversationDebounceTimers.delete(tKey);

    if (isConversationProcessingLocked(conversationKey, lane)) {
+      logger.warn(
+        { conversationKey, lane, tKey },
+        "scheduleLaneTimer: lane locked, skipping dispatch",
+      );
      return;
    }
    const processingStartedAt = Date.now();
    setConversationProcessing(conversationKey, lane, processingStartedAt);
+    logger.debug(
+      { conversationKey, lane, processingStartedAt },
+      "scheduleLaneTimer: lock acquired, dispatching batch fetch",
+    );

    messageStore
      .getPendingMessagesByConversation(
@@ -147,6 +156,60 @@ function scheduleLaneTimer(
          );
        }

+        // Un-claim messages that did NOT make it into the trimmed batch.
+        // getPendingMessagesByConversation() flips EVERY fetched pending row
+        // to `processing`; pickBatchWithinBudget() may then stop early on the
+        // token budget, leaving the tail rows stuck in `processing` forever
+        // (recovery only reverts rows older than 120s, and these keep getting
+        // re-claimed each wave). Return them to `pending` so the next wave
+        // picks them up instead of leaking processing slots.
+        const unclaimed = computeBudgetOverflowMessages(
+          processableMessages,
+          trimmed,
+        );
+        if (unclaimed.length > 0) {
+          const unclaimedRows = await messageStore
+            .updateMessagesAIAnalysisBulk(
+              unclaimed.map((msg) => ({
+                messageId: msg.id,
+                result: {
+                  status: "pending",
+                  flags: null,
+                  score: null,
+                  analysis: null,
+                  categories: null,
+                  severity: null,
+                  confidence: null,
+                  recommendedAction: null,
+                  analyzedAt: null,
+                  error: null,
+                },
+              })),
+            )
+            .catch((err: unknown) => {
+              logger.error(
+                {
+                  conversationKey,
+                  lane,
+                  count: unclaimed.length,
+                  error: err instanceof Error ? err.message : String(err),
+                },
+                "Failed to un-claim budget-overflow messages back to pending",
+              );
+              return null;
+            });
+          if (unclaimedRows) {
+            logger.debug(
+              {
+                conversationKey,
+                lane,
+                unclaimedCount: unclaimed.length,
+              },
+              "Returned budget-overflow messages to pending for next wave",
+            );
+          }
+        }
+
        // processBatch releases THIS lane's lock the moment its worker job
        // finishes and re-schedules the same lane — independent of the other
        // lane's (possibly much slower) media batch.
@@ -0,0 +1,36 @@
+import { createChildLogger } from "@/shared/logger/index";
+import { pruneExpiredTexts } from "./textCacheStore.js";
+
+const logger = createChildLogger("cache-prune");
+
+/** Expired-verdict sweep cadence. */
+const CACHE_PRUNE_INTERVAL_MS = 6 * 60 * 60 * 1000; // every 6 hours
+
+let lastCachePruneAt = 0;
+
+/**
+ * Cache hygiene: purge expired moderation verdicts from Postgres.
+ *
+ * Expired entries are never reused (read filters check `expires_at`) but they
+ * accumulate forever without a sweep. Called from the recovery interval; the
+ * 6-hour throttle keeps it to one sweep per window.
+ */
+export function runCachePruneIfDue(now: number = Date.now()): void {
+  if (now - lastCachePruneAt < CACHE_PRUNE_INTERVAL_MS) return;
+  lastCachePruneAt = now;
+
+  Promise.resolve(pruneExpiredTexts())
+    .then((pgDeleted) => {
+      if (pgDeleted > 0) {
+        logger.info({ pgDeleted }, "Expired moderation cache pruned");
+      }
+    })
+    .catch((err: unknown) => {
+      logger.warn({ error: String(err) }, "Moderation cache prune failed");
+    });
+}
+
+/** Reset the throttle window (tests). */
+export function resetCachePruneState(): void {
+  lastCachePruneAt = 0;
+}
@@ -1,200 +0,0 @@
-/**
- * embeddingClient.ts
- *
- * OpenAI-compatible embeddings helper used by the semantic moderation
- * cache. When AI_LLM_EMBEDDING_MODEL is configured, near-duplicate
- * messages can reuse a stored verdict (cosine similarity) instead of
- * paying for a full chat-completion call — the main cost-saver.
- *
- * Every function degrades gracefully: if the embedding model is not
- * configured or the API fails, callers fall back to the exact-hash cache
- * and then the LLM, so moderation quality is never reduced.
- */
-
-import OpenAI from "openai";
-
-import { createChildLogger } from "@/shared/logger/index";
-import { config } from "../../shared/config/index.js";
-import { cleanContent } from "./textSignals.js";
-
-const log = createChildLogger("embedding-client");
-
-// ---------------------------------------------------------------------------
-// Text normalization (shared by moderation + archive embedding)
-// ---------------------------------------------------------------------------
-
-/**
- * Max characters fed to the embedding model for a single document. Embedding
- * models have a hard token ceiling; embedding past it throws / wastes tokens.
- * Content messages are truncated; search queries have their own (smaller) cap.
- */
-export const EMBEDDING_MAX_CHARS = 1200;
-export const EMBEDDING_MAX_QUERY_CHARS = 300;
-
-/**
- * Normalize free-form Discord text before embedding.
- *
- * Raw messages are full of signal-hostile noise: @mentions, channels, custom
- * emoji, URLs, markdown and control chars. Embedding that noise directly
- * dilutes the vector (sentences that differ only in an @mention or a link
- * land far apart) and inflates token cost. The same cleanup is applied to the
- * user's search query so archived vectors and the query share one space.
- *
- * - `cleanContent` (from textSignals) strips URLs/@mentions/emoji/markdown and
- *   collapses whitespace — good for embeddings, not just term extraction.
- * - Control characters / zero-width joiners are removed (Discord pastes these).
- * - Lowercase is applied so "Discord" and "discord" embed identically (embed
- *   models are case-sensitive; this measurably improves near-duplicate recall).
- *
- * Falls back to the raw input if normalization empties a string (e.g. a
- * message that was only a URL) so index alignment is preserved by callers.
- */
-export function normalizeEmbeddingText(raw: string, maxChars: number): string {
-  if (!raw) return "";
-  const cleaned = cleanContent(
-    raw.replace(/[\p{Cc}\p{Cf}]/gu, " ").toLowerCase(),
-  );
-  if (!cleaned) return raw.slice(0, maxChars); // preserve original if stripped
-  return cleaned.slice(0, maxChars);
-}
-
-/** Normalize a single embedded document/message. */
-export function normalizeEmbeddingContent(raw: string): string {
-  return normalizeEmbeddingText(raw, EMBEDDING_MAX_CHARS);
-}
-
-/** Normalize a user-provided search query before embedding it. */
-export function normalizeEmbeddingQuery(raw: string): string {
-  return normalizeEmbeddingText(raw, EMBEDDING_MAX_QUERY_CHARS);
-}
-
-// ---------------------------------------------------------------------------
-// Client (lazy singleton — same base URL as the chat client)
-// ---------------------------------------------------------------------------
-
-let openaiClient: OpenAI | null = null;
-
-function getClient(): OpenAI | null {
-  if (!config.AI_LLM_API_KEY || !config.AI_LLM_EMBEDDING_MODEL) return null;
-  if (!openaiClient) {
-    openaiClient = new OpenAI({
-      apiKey: config.AI_LLM_API_KEY,
-      baseURL: config.AI_LLM_BASE_URL,
-      // Embeddings are cheap and idempotent — a transient network blip should
-      // NOT silently disable the whole semantic cache for a batch. Let the SDK
-      // retry (2 retries, jittered) instead of failing open immediately.
-      maxRetries: 2,
-      timeout: 60_000,
-    });
-  }
-  return openaiClient;
-}
-
-/** True when the semantic cache is usable (key + model configured). */
-export function isEmbeddingEnabled(): boolean {
-  return Boolean(config.AI_LLM_API_KEY && config.AI_LLM_EMBEDDING_MODEL);
-}
-
-// ---------------------------------------------------------------------------
-// Embedding calls
-// ---------------------------------------------------------------------------
-
-/**
- * Embed a batch of texts with the configured model.
- * Returns null on any failure so callers can skip semantic lookup.
- *
- * Each input is normalized (noise stripped, lowercased, length-capped) before
- * embedding — see normalizeEmbeddingText. Index alignment with `texts` is
- * preserved: if a text normalizes to empty we embed the raw original so the
- * caller's `embeddings[i] ↔ texts[i]` mapping never shifts.
- */
-export async function embedTexts(texts: string[]): Promise<number[][] | null> {
-  if (!isEmbeddingEnabled()) return null;
-  if (texts.length === 0) return [];
-
-  const client = getClient();
-  if (!client) return null;
-
-  const normalized = texts.map((t) => normalizeEmbeddingContent(t));
-
-  try {
-    const response = await client.embeddings.create({
-      model: config.AI_LLM_EMBEDDING_MODEL as string,
-      input: normalized,
-      // OpenAI SDK v6 defaults to base64; Nvidia-backed embedding models
-      // (e.g. llama-nemotron-embed) reject it with 400. Always float.
-      encoding_format: "float",
-    });
-    // All vectors in one response must share the model's dimension. If they
-    // don't (shouldn't happen, but guards against a misconfigured/mismatched
-    // model), fail the batch rather than feed garbage to cosine + Qdrant.
-    const vectors = response.data.map((item) => item.embedding);
-    const firstLen = vectors[0]?.length ?? 0;
-    const consistent = vectors.every((v) => v.length === firstLen);
-    if (!consistent || firstLen === 0) {
-      log.error(
-        {
-          model: config.AI_LLM_EMBEDDING_MODEL,
-          dims: vectors.map((v) => v.length),
-        },
-        "Embedding response had inconsistent/empty dimensions — treating as failure",
-      );
-      return null;
-    }
-    return vectors;
-  } catch (error) {
-    log.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "Embedding request failed — semantic cache disabled for this call",
-    );
-    return null;
-  }
-}
-
-/** Embed a single text; returns null on failure. */
-export async function embedText(text: string): Promise<number[] | null> {
-  const vectors = await embedTexts([text]);
-  return vectors?.[0] ?? null;
-}
-
-// ---------------------------------------------------------------------------
-// Similarity
-// ---------------------------------------------------------------------------
-
-/** Cosine similarity between two equal-length vectors. */
-export function cosineSimilarity(a: number[], b: number[]): number {
-  if (a.length === 0 || a.length !== b.length) return 0;
-  let dot = 0;
-  let normA = 0;
-  let normB = 0;
-  for (let i = 0; i < a.length; i++) {
-    dot += a[i] * b[i];
-    normA += a[i] * a[i];
-    normB += b[i] * b[i];
-  }
-  if (normA === 0 || normB === 0) return 0;
-  return dot / (Math.sqrt(normA) * Math.sqrt(normB));
-}
-
-/**
- * Pick the best match above `minSimilarity`, or null.
- * Returns { index, similarity } relative to the candidates array.
- */
-export function findBestEmbeddingMatch(
-  vector: number[],
-  candidates: number[][],
-  minSimilarity: number,
-): { index: number; similarity: number } | null {
-  let bestIndex = -1;
-  let bestSimilarity = minSimilarity;
-  for (let i = 0; i < candidates.length; i++) {
-    const sim = cosineSimilarity(vector, candidates[i]);
-    if (sim > bestSimilarity) {
-      bestSimilarity = sim;
-      bestIndex = i;
-    }
-  }
-  return bestIndex >= 0
-    ? { index: bestIndex, similarity: bestSimilarity }
-    : null;
-}
@@ -0,0 +1,35 @@
+/**
+ * Public surface of the AI-moderation module.
+ *
+ * The module has ~50 internal files; callers outside it (app/, tests, other
+ * modules) should import from THIS barrel so internal files can be moved
+ * without touching call sites.
+ *
+ * Deep imports remain valid inside the module itself.
+ */
+
+export type {
+  AIRecommendedAction,
+  AISeverity,
+  AIStatus,
+  AnalysisQueueStatus,
+  AnalysisResult,
+} from "../../shared/moderation-types.js";
+// ── Entry API: queueing, status, recovery worker ──────────────────────────
+export {
+  getAnalysisQueueStatus,
+  queueConversationAnalysis,
+  queueMessageAnalysis,
+  startPendingAIAnalysisWorker,
+} from "./aiAnalyzer.js";
+// ── Worker pools (app/metrics-collector reads their live thread counters) ──
+export {
+  getConversationKey,
+  mediaWorkerPool,
+  textWorkerPool,
+} from "./circuitBreaker.js";
+// ── Pipeline state hooks the bootstrap injects into ───────────────────────
+export {
+  setModerationClient,
+  setSharedEventBroadcaster,
+} from "./moderationState.js";
@@ -92,7 +92,7 @@ export async function callModerationLLM(
            jsonResponse: { type: "json_object" },
            retries: 0,
            signal,
-            // Router (omniroute) always streams SSE even when the
+            // Router always streams SSE even when the
            // request omits `stream`. In non-stream mode the OpenAI SDK waits
            // for the FULL body before parsing, so slow/long upstream streams
            // hit the 30s/60s timeout and abort mid-generation. Streaming mode
@@ -131,7 +131,7 @@ type LLMResponseChunk = {
 * `delta.content`; falls back to reasoning fields so reasoning-only models
 * still produce usable aggregated text. Providers differ in the field name:
 * - DeepSeek-style / Cloudflare gemma → `delta.reasoning_content`
- * - mimo (via omniroute) streams reasoning in `delta.reasoning` +
+ * - mimo (via the router) streams reasoning in `delta.reasoning` +
 *   `delta.reasoning_details[].text` (content:"") — without these fallbacks
 *   vision aggregation came back empty ("Vision API null response").
 * Exported for unit tests.
@@ -267,7 +267,7 @@ export function buildLlmParams(
      reasoning: { enabled: false },
      // vLLM / Qwen / litellm
      chat_template_kwargs: { enable_thinking: false },
-      // Anthropic / Claude-format (omniroute exposes thinkingFormat
+      // Anthropic / Claude-format (router exposes thinkingFormat
      // "claude-adaptive" / "claude-budget" on its reasoning models)
      thinking: { type: "disabled" },
    } as Record<string, unknown>);
@@ -14,10 +14,12 @@ export {
  downloadAndExtractFrame,
  sniffImageMimeType,
 } from "./mediaDownloader.js";
+export type {
+  MessageImagePart,
+  PreparedMediaMessage,
+} from "./visionAnalyzer.js";
 export {
  analyzeSingleMediaImage,
  hasMediaContent,
-  MessageImagePart,
-  PreparedMediaMessage,
  prepareMediaMessage,
 } from "./visionAnalyzer.js";
@@ -16,25 +16,19 @@ import type {
  MessageRecord,
 } from "../message-capture/types.js";
 import { initCacheStore } from "./cacheStore.js";
-import { embedTexts, isEmbeddingEnabled } from "./embeddingClient.js";
 import { hasMediaContent } from "./mediaAnalysisClient.js";
 import { runMediaBatch } from "./mediaBatchProcessor.js";
-import { isQdrantConfigured, searchQdrantBatch } from "./qdrantClient.js";
 import { logCacheEvent } from "./responseLogger.js";
 import { runTextOnlyBatch } from "./textBatchProcessor.js";
 import {
  bumpTextModerationHitCounts,
  ERROR_ARTIFACT_FLAGS,
-  findSimilarTextModeration,
  getCachedTextModerations,
  isGloballyReusableCleanVerdict,
-  isSemanticBandAccepted,
  makeModerationContextKey,
  makeTextModerationCacheKey,
-  parseQdrantVerdict,
  type StoredModerationVerdict,
  setCachedTextModeration,
-  upsertBareKeyToQdrant,
 } from "./textCacheStore.js";

 const log = createChildLogger("moderationOrchestrator");
@@ -74,12 +68,9 @@ export interface ModerationOutput {
 * Runs LLM-based moderation analysis on messages.
 * Splits text-only vs media, runs both paths in parallel, applies caching.
 *
- * Cache strategy (two-phase, batched):
- *  1. Exact-hash lookups (no API) — key is content + conversation context
- *     (channel/thread) because LLM verdicts depend on context.
- *  2. Semantic near-duplicate lookup — ONE embeddings call for all uncached
- *     text targets, then ONE Qdrant batch search (index-aligned), instead of
- *     N sequential embed→search round-trips.
+ * Cache strategy: exact-hash lookups only (no API) — key is content +
+ * conversation context (channel/thread) because LLM verdicts depend on
+ * context. Every miss goes to the LLM.
 */
 export async function runModerationAnalysis(
  input: ModerationInput,
@@ -100,9 +91,6 @@ export async function runModerationAnalysis(
  const uncachedTargets: MessageRecord[] = [];
  // cacheKey → representative result for identical-content dedupe
  const hitByKey = new Map<string, AnalysisResult>();
-  // Embedding per exact cache key — computed once during lookup, reused
-  // when the fresh LLM verdict is written back to the semantic cache.
-  const embeddingsByKey = new Map<string, number[]>();

  interface ExactCandidate {
    target: MessageRecord;
@@ -251,142 +239,6 @@ export async function runModerationAnalysis(
  }
  incrementCounterBy("moderation_cache_misses", uncachedTargets.length);

-  // ── Phase 2: semantic cache — batched (one embed call + one Qdrant
-  //    batch search for ALL uncached text targets) ─────────────────────────
-  if (isEmbeddingEnabled()) {
-    const semanticCandidates = uncachedTargets
-      .map((t) => ({
-        target: t,
-        cacheKey: makeTextModerationCacheKey(
-          t.edited_content ?? t.content,
-          makeModerationContextKey(t),
-        ),
-      }))
-      .filter(({ target }) => {
-        const raw = (target.edited_content ?? target.content).trim();
-        if (raw.length < 5) return false;
-        if (hasMediaContent(target, attachments)) return false;
-        return !hitByKey.has(
-          makeTextModerationCacheKey(raw, makeModerationContextKey(target)),
-        );
-      });
-
-    if (semanticCandidates.length > 0) {
-      const texts = semanticCandidates.map(
-        ({ target }) => target.edited_content ?? target.content,
-      );
-      const embeddings = await embedTexts(texts);
-      if (embeddings && embeddings.length === texts.length) {
-        // index-aligned with semanticCandidates
-        for (let i = 0; i < semanticCandidates.length; i++) {
-          const { cacheKey } = semanticCandidates[i];
-          embeddingsByKey.set(cacheKey, embeddings[i]);
-        }
-
-        if (isQdrantConfigured()) {
-          // ONE batch search at the LOOSER threshold; per-hit re-classification
-          // enforces the strict band for actionable verdicts.
-          const batchHits = await searchQdrantBatch(
-            embeddings,
-            config.AI_LLM_EMBEDDING_MAX_CANDIDATES,
-            config.AI_LLM_EMBEDDING_MIN_SIMILARITY_CLEAN,
-          );
-          for (let i = 0; i < semanticCandidates.length; i++) {
-            const { target, cacheKey } = semanticCandidates[i];
-            const hits = batchHits[i] ?? [];
-            if (hits.length === 0) continue;
-            const verdict = parseQdrantVerdict(hits[0].payload, hits[0].score);
-            if (!verdict) continue;
-            if (!isSemanticBandAccepted(verdict, verdict.similarity)) continue;
-            log.debug(
-              {
-                messageId: target.id,
-                similarity: Number(verdict.similarity.toFixed(4)),
-                status: verdict.status,
-              },
-              "Semantic moderation cache hit — reusing stored verdict",
-            );
-            const hit: AnalysisResult = {
-              messageId: target.id,
-              status: verdict.status,
-              flags: verdict.flags,
-              score: verdict.score,
-              analysis: verdict.analysis,
-              categories: verdict.categories,
-              severity: verdict.severity as AnalysisResult["severity"],
-              confidence: verdict.confidence,
-              recommendedAction:
-                verdict.recommendedAction as AnalysisResult["recommendedAction"],
-              policyVersion: "semantic-cache-2026-07",
-              evidence: [],
-            };
-            cacheHits.push(hit);
-            hitByKey.set(cacheKey, hit);
-            servedCacheKeys.add(cacheKey); // bump hit_count for metrics
-            logCacheEvent("hit", cacheKey, "text");
-            incrementCounterBy("moderation_cache_hits", 1, {
-              type: "semantic-qdrant",
-            });
-          }
-        } else {
-          // Legacy Postgres fallback path (no Qdrant): per-candidate scan.
-          for (let i = 0; i < semanticCandidates.length; i++) {
-            const { target, cacheKey } = semanticCandidates[i];
-            const semantic = await findSimilarTextModeration(
-              embeddings[i],
-              config.AI_LLM_EMBEDDING_MIN_SIMILARITY_CLEAN,
-              config.AI_LLM_EMBEDDING_MAX_CANDIDATES,
-            );
-            if (!semantic) continue;
-            if (!isSemanticBandAccepted(semantic, semantic.similarity))
-              continue;
-            log.debug(
-              {
-                messageId: target.id,
-                similarity: Number(semantic.similarity.toFixed(4)),
-                status: semantic.status,
-              },
-              "Semantic moderation cache hit (PG fallback) — reusing stored verdict",
-            );
-            const hit: AnalysisResult = {
-              messageId: target.id,
-              status: semantic.status,
-              flags: semantic.flags,
-              score: semantic.score,
-              analysis: semantic.analysis,
-              categories: semantic.categories,
-              severity: semantic.severity as AnalysisResult["severity"],
-              confidence: semantic.confidence,
-              recommendedAction:
-                semantic.recommendedAction as AnalysisResult["recommendedAction"],
-              policyVersion: "semantic-cache-2026-07",
-              evidence: [],
-            };
-            cacheHits.push(hit);
-            hitByKey.set(cacheKey, hit);
-            servedCacheKeys.add(cacheKey); // bump hit_count for metrics
-            logCacheEvent("hit", cacheKey, "text");
-            incrementCounterBy("moderation_cache_hits", 1, {
-              type: "semantic-pg",
-            });
-          }
-        }
-
-        // Drop semantic hits from the LLM work queue.
-        for (let i = uncachedTargets.length - 1; i >= 0; i--) {
-          const t = uncachedTargets[i];
-          const key = makeTextModerationCacheKey(
-            t.edited_content ?? t.content,
-            makeModerationContextKey(t),
-          );
-          if (hitByKey.has(key)) {
-            uncachedTargets.splice(i, 1);
-          }
-        }
-      }
-    }
-  }
-
  if (cacheHits.length > 0) {
    // Metrics: one bulk UPDATE for every exact-cache key actually served.
    bumpTextModerationHitCounts(Array.from(servedCacheKeys));
@@ -466,11 +318,7 @@ export async function runModerationAnalysis(
      recommendedAction: result.recommendedAction ?? "none",
      status: result.status,
    };
-    setCachedTextModeration(
-      cacheKey,
-      stored,
-      embeddingsByKey.get(cacheKey),
-    ).catch((err: unknown) => {
+    setCachedTextModeration(cacheKey, stored).catch((err: unknown) => {
      log.warn({ cacheKey, error: String(err) }, "Cache write failed");
    });

@@ -479,13 +327,6 @@ export async function runModerationAnalysis(
    // under the context-free bare key so repeats in OTHER channels hit the
    // exact cache instead of paying a new LLM call. Same guard as the read
    // path — only non-actionable clean verdicts may cross channels.
-    //
-    // 2026-08-25 cache-hit fix: the bare key is ALSO upserted to Qdrant
-    // (via upsertBareKeyToQdrant) with the SAME embedding already computed
-    // at lookup time. Previously the bare key was only PG-written with
-    // embedding=null — bare clean verdicts were DB-only and invisible to
-    // searchQdrantBatch, capping the semantic hit-rate below the exact-cache
-    // hit-rate for cross-channel repeats.
    const bareKey = makeTextModerationCacheKey(rawContent);
    if (
      bareKey !== cacheKey &&
@@ -505,11 +346,7 @@ export async function runModerationAnalysis(
      )
    ) {
      globalBareKeysWritten.set(bareKey, true);
-      setCachedTextModeration(bareKey, stored, null).catch(() => {});
-      const bareEmbedding = embeddingsByKey.get(cacheKey);
-      if (bareEmbedding && bareEmbedding.length > 0) {
-        upsertBareKeyToQdrant(bareKey, stored, bareEmbedding).catch(() => {});
-      }
+      setCachedTextModeration(bareKey, stored).catch(() => {});
    }
  }

@@ -56,6 +56,8 @@ Wajib sebutkan ISI/KONTEN spesifik apa yang dibicarakan pengirim — bukan templ

 **CRITICAL — dilarang menulis analysis generik:** JANGAN PERNAH menulis "Pesan hanya berisi...", "Tidak ada indikasi pelanggaran", atau template seperti "Pengirim mengirimkan sebuah file GIF tanpa pelanggaran." Selalu sebutkan ISI/KONTEN spesifik, apa yang dibicarakan, apa yang terlihat.

+- **LINK yang gagal diambil (fetch_error=true):** JANGAN jadikan keberadaan link sebagai subjek analysis. <web_content url=... fetch_error="true"> = konten halaman tidak bisa diverifikasi (login wall / anti-bot / HTTP error). Analysis harus: (1) jelaskan apa yang pengirim lakukan/ekspresikan dari TEKS pesan + <conversation_context> (mis. "membagikan video lalu berekspresi 'Auuuu' — nada santai mengekspresikan kekaguman/kesenangan"), (2) jika teks juga minim dan konteks tidak jelas, AKUI dengaLine truncated
+
 - **BALASAN (reply):** jelaskan konteks balasannya (apa dibicarakan, siapa dibalas tanpa nama, bagaimana tanggapan pengirim).
 - Gunakan Media analysis untuk mendeskripsikan gambar. Analisis harus MEMBERI KONTEKS, bukan hanya status.`;

@@ -1,589 +0,0 @@
-/**
- * qdrantClient.ts
- *
- * Minimal Qdrant REST client (zero dependencies, fetch-based) used by the
- * semantic moderation cache. Embedding vectors + verdict payloads live in
- * Qdrant instead of the Postgres `embedding` column (legacy, kept for
- * backward-compatible fallback reads).
- *
- * All functions degrade gracefully: failures return null / empty results so
- * callers fall back to the LLM — moderation quality is never reduced.
- */
-
-import { createHash } from "node:crypto";
-
-import { createChildLogger } from "@/shared/logger/index";
-import { config } from "../../shared/config/index.js";
-
-const log = createChildLogger("qdrant");
-
-// ensureQdrantCollection performs a network round-trip (GET, possibly
-// DELETE+PUT). Running it on every upsert adds 1-3 HTTP calls per
-// moderation verdict, which under Qdrant load pushes the upsert past the
-// request timeout and aborts it ("This operation was aborted"). Memoise the
-// result so the collection is only verified once per process lifetime.
-let ensureCollectionPromise: Promise<boolean> | null = null;
-
-/** Reset the memoised ensure result (used by tests / config reload). */
-export function resetQdrantCollectionCache(): void {
-  ensureCollectionPromise = null;
-}
-
-export interface QdrantVerdictPayload {
-  text: string;
-  flags: string; // JSON string of the full moderation result
-  analyzed_at: number;
-  expires_at: number;
-  /** Bare content hash (16 hex chars) — enables content-based invalidation
-   *  regardless of the (context-scoped) point id. */
-  content_hash?: string;
-  // Archive metadata (archiveEmbedder writes these; moderation cache doesn't).
-  // Optional so the same payload shape serves both the moderation cache
-  // collection and the public message archive collection.
-  username?: string;
-  channel_id?: string;
-  guild_id?: string;
-  thread_id?: string | null;
-  channel_name?: string | null;
-  thread_name?: string | null;
-  created_at?: number;
-}
-
-function baseUrl(): string {
-  return (config.QDRANT_URL ?? "http://100.121.180.82:6333").replace(
-    /\/+$/,
-    "",
-  );
-}
-
-function collectionName(): string {
-  return config.QDRANT_COLLECTION ?? "gmw_text_moderation";
-}
-
-/** Persistent archive collection for semantic message search (no TTL). */
-export const ARCHIVE_COLLECTION =
-  config.QDRANT_ARCHIVE_COLLECTION ?? "gmw_message_archive";
-
-function headers(): Record<string, string> {
-  const h: Record<string, string> = {
-    "Content-Type": "application/json",
-  };
-  if (config.QDRANT_API_KEY) {
-    h["api-key"] = config.QDRANT_API_KEY;
-  }
-  return h;
-}
-
-async function request(
-  method: string,
-  path: string,
-  body?: unknown,
-  timeoutMs = 10_000,
-): Promise<unknown> {
-  const controller = new AbortController();
-  const timer = setTimeout(() => controller.abort(), timeoutMs);
-  try {
-    const res = await fetch(`${baseUrl()}${path}`, {
-      method,
-      headers: headers(),
-      body: body === undefined ? undefined : JSON.stringify(body),
-      signal: controller.signal,
-    });
-    const text = await res.text();
-    let json: unknown = null;
-    try {
-      json = text ? JSON.parse(text) : null;
-    } catch {
-      json = null;
-    }
-    if (!res.ok) {
-      throw new Error(
-        `Qdrant ${method} ${path} -> ${res.status}: ${text.slice(0, 200)}`,
-      );
-    }
-    return json;
-  } finally {
-    clearTimeout(timer);
-  }
-}
-
-/** True for transient errors worth retrying (408 timeout, ECONNRESET, aborts). */
-function isTransientQdrantError(error: unknown): boolean {
-  if (error instanceof Error && error.name === "AbortError") return true;
-  const msg = error instanceof Error ? error.message : String(error);
-  return (
-    msg.includes("-> 408") ||
-    msg.includes("aborted") ||
-    msg.includes("ECONNRESET") ||
-    msg.includes("ETIMEDOUT") ||
-    msg.includes("fetch failed")
-  );
-}
-
-/** Retry with exponential backoff around `request`, abort-aware. */
-async function requestWithRetry(
-  method: string,
-  path: string,
-  body?: unknown,
-  timeoutMs = 10_000,
-  attempts = 3,
-): Promise<unknown> {
-  let lastError: unknown;
-  for (let attempt = 0; attempt < attempts; attempt++) {
-    if (attempt > 0) {
-      // Exponential backoff: 500ms → 1s → 2s (jittered ±20%).
-      const base = 500 * 2 ** (attempt - 1);
-      const delayMs = base + Math.floor(Math.random() * base * 0.2);
-      await new Promise((resolve) => setTimeout(resolve, delayMs));
-    }
-    try {
-      return await request(method, path, body, timeoutMs);
-    } catch (error) {
-      lastError = error;
-      if (!isTransientQdrantError(error)) throw error;
-      log.debug(
-        {
-          error: error instanceof Error ? error.message : String(error),
-          attempt: attempt + 1,
-          method,
-          path,
-        },
-        "Qdrant transient error — retrying with backoff",
-      );
-    }
-  }
-  throw lastError;
-}
-
-/** Deterministic uint64 point id from the exact-hash cache key. */
-export function qdrantPointId(cacheKey: string): number {
-  const digest = createHash("sha256").update(cacheKey).digest();
-  // First 8 bytes as BigInt, then clamp into Qdrant's uint64 space.
-  const big = digest.readBigUInt64BE(0);
-  return Number(big & 0x7fffffffffffffffn);
-}
-
-/**
- * Ensure the collection exists with the right vector size. If the size
- * changed (embedding model swapped), recreate — stale vectors are useless
- * anyway and cosine scores would be meaningless across dimensions.
- */
-export async function ensureQdrantCollection(
-  vectorSize: number,
-): Promise<boolean> {
-  if (ensureCollectionPromise) return ensureCollectionPromise;
-  ensureCollectionPromise = (async () => {
-    try {
-      // 404 = collection doesn't exist yet → create it.
-      let existing: {
-        result?: { config?: { params?: { vectors?: { size?: number } } } };
-      } | null = null;
-      try {
-        existing = (await request(
-          "GET",
-          `/collections/${collectionName()}`,
-        )) as {
-          result?: { config?: { params?: { vectors?: { size?: number } } } };
-        };
-      } catch (error) {
-        if (!(error instanceof Error) || !error.message.includes("-> 404")) {
-          throw error;
-        }
-      }
-
-      const size = existing?.result?.config?.params?.vectors?.size;
-      if (size === vectorSize) return true;
-
-      if (size !== undefined && size !== vectorSize) {
-        log.warn(
-          { collection: collectionName(), oldSize: size, newSize: vectorSize },
-          "Qdrant collection vector size changed — recreating collection",
-        );
-        await request("DELETE", `/collections/${collectionName()}`);
-      }
-
-      await request("PUT", `/collections/${collectionName()}`, {
-        vectors: { size: vectorSize, distance: "Cosine" },
-      });
-      return true;
-    } catch (error) {
-      log.error(
-        {
-          error: error instanceof Error ? error.message : String(error),
-          collection: collectionName(),
-        },
-        "Failed to ensure Qdrant collection",
-      );
-      // The memoised promise is permanently sticky: once it rejects (e.g. a
-      // recreate aborted mid-way — DELETE done, PUT failed), every later call
-      // returns the same rejected promise and the collection is never
-      // re-created until process restart. Reset so the next call retries.
-      ensureCollectionPromise = null;
-      return false;
-    }
-  })();
-  return ensureCollectionPromise;
-}
-
-/** Upsert one embedding + verdict payload point. Returns false on failure. */
-export async function upsertQdrantPoint(
-  cacheKey: string,
-  vector: number[],
-  payload: QdrantVerdictPayload,
-): Promise<boolean> {
-  try {
-    if (!(await ensureQdrantCollection(vector.length))) return false;
-    await requestWithRetry(
-      "PUT",
-      `/collections/${collectionName()}/points`,
-      {
-        points: [{ id: qdrantPointId(cacheKey), vector, payload }],
-        wait: true,
-      },
-      30_000,
-      3,
-    );
-    return true;
-  } catch (error) {
-    log.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "Qdrant upsert failed — semantic entry skipped",
-    );
-    return false;
-  }
-}
-
-export interface QdrantSearchHit {
-  cacheKey: string;
-  score: number;
-  payload: QdrantVerdictPayload;
-}
-
-/**
- * Search the nearest stored vector. Returns hits sorted by score desc,
- * filtered to unexpired payloads. Empty array on failure.
- */
-export async function searchQdrant(
-  vector: number[],
-  limit: number,
-  scoreThreshold: number,
-): Promise<QdrantSearchHit[]> {
-  try {
-    const json = (await request(
-      "POST",
-      `/collections/${collectionName()}/points/search`,
-      {
-        vector,
-        limit,
-        score_threshold: scoreThreshold,
-        with_payload: true,
-        filter: {
-          must: [
-            {
-              key: "expires_at",
-              range: { gte: Date.now() },
-            },
-          ],
-        },
-      },
-    )) as {
-      result?: Array<{
-        id?: number;
-        score?: number;
-        payload?: QdrantVerdictPayload;
-      }>;
-    };
-
-    return (json.result ?? [])
-      .filter((hit) => hit.payload?.flags)
-      .map((hit) => ({
-        cacheKey: `qdrant:${hit.id ?? "?"}`,
-        score: hit.score ?? 0,
-        payload: hit.payload as QdrantVerdictPayload,
-      }));
-  } catch (error) {
-    log.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "Qdrant search failed — semantic cache skipped",
-    );
-    return [];
-  }
-}
-
-/**
- * Batch search: one HTTP round-trip for N vectors (Qdrant
- * `/points/search/batch`). Result is index-aligned with `vectors` — each
- * entry is the top hits for that vector (or [] on per-vector failure).
- * Used by the orchestrator to avoid N sequential embed→search round-trips.
- */
-export async function searchQdrantBatch(
-  vectors: number[][],
-  limit: number,
-  scoreThreshold: number,
-): Promise<QdrantSearchHit[][]> {
-  if (vectors.length === 0) return [];
-  try {
-    const json = (await request(
-      "POST",
-      `/collections/${collectionName()}/points/search/batch`,
-      {
-        searches: vectors.map((vector) => ({
-          vector,
-          limit,
-          score_threshold: scoreThreshold,
-          with_payload: true,
-          filter: {
-            must: [
-              {
-                key: "expires_at",
-                range: { gte: Date.now() },
-              },
-            ],
-          },
-        })),
-      },
-    )) as {
-      result?: Array<{
-        result?: Array<{
-          id?: number;
-          score?: number;
-          payload?: QdrantVerdictPayload;
-        }>;
-      }>;
-    };
-
-    return (json.result ?? []).map((entry) =>
-      (entry.result ?? [])
-        .filter((hit) => hit.payload?.flags)
-        .map((hit) => ({
-          cacheKey: `qdrant:${hit.id ?? "?"}`,
-          score: hit.score ?? 0,
-          payload: hit.payload as QdrantVerdictPayload,
-        })),
-    );
-  } catch (error) {
-    log.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "Qdrant batch search failed — semantic cache skipped",
-    );
-    return vectors.map(() => []);
-  }
-}
-
-/**
- * Delete expired verdict points from the collection. Best-effort: 404
- * (collection missing) and failures are swallowed — the periodic pruner
- * just retries next sweep.
- */
-export async function deleteExpiredQdrantPoints(): Promise<number> {
-  try {
-    const json = (await request(
-      "POST",
-      `/collections/${collectionName()}/points/delete`,
-      {
-        filter: {
-          must: [
-            {
-              key: "expires_at",
-              range: { lt: Date.now() },
-            },
-          ],
-        },
-      },
-    )) as { result?: { deleted?: number } | null };
-
-    return json.result?.deleted ?? 0;
-  } catch (error) {
-    if (error instanceof Error && error.message.includes("-> 404")) {
-      log.debug({}, "Qdrant collection absent — nothing to prune");
-    } else {
-      log.warn(
-        { error: error instanceof Error ? error.message : String(error) },
-        "Qdrant expired-point prune failed",
-      );
-    }
-    return 0;
-  }
-}
-
-/**
- * Delete the verdict point for an exact cache key (used by cache
- * invalidation when a moderator corrects a verdict).
- */
-export async function deleteQdrantPoint(cacheKey: string): Promise<boolean> {
-  try {
-    await request("POST", `/collections/${collectionName()}/points/delete`, {
-      points: [qdrantPointId(cacheKey)],
-    });
-    return true;
-  } catch (error) {
-    log.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "Qdrant point delete failed",
-    );
-    return false;
-  }
-}
-
-/**
- * Delete all verdict points whose payload carries a given bare content hash.
- * Used by cache invalidation for corrected verdicts — matches context-scoped
- * points that share the same content regardless of their point ids.
- */
-export async function deleteQdrantPointsByContentHash(
-  bareHash: string,
-): Promise<boolean> {
-  try {
-    await request("POST", `/collections/${collectionName()}/points/delete`, {
-      filter: {
-        must: [
-          {
-            key: "content_hash",
-            match: { value: bareHash },
-          },
-        ],
-      },
-    });
-    return true;
-  } catch (error) {
-    log.warn(
-      { error: error instanceof Error ? error.message : String(error) },
-      "Qdrant content-hash point delete failed",
-    );
-    return false;
-  }
-}
-
-/** True when Qdrant is configured (non-empty URL). */
-export function isQdrantConfigured(): boolean {
-  return Boolean(config.QDRANT_URL);
-}
-
-// ─── Archive variants (collection-aware, for persistent message search) ───
-// These mirror the cache functions but take an explicit collection name so the
-// semantic-search archive (gmw_message_archive) can live alongside the
-// TTL-bounded automod cache without disturbing it.
-
-/** Ensure an arbitrary collection exists with the right vector size. */
-export async function ensureQdrantCollectionV2(
-  name: string,
-  vectorSize: number,
-): Promise<boolean> {
-  try {
-    let existing: {
-      result?: { config?: { params?: { vectors?: { size?: number } } } };
-    } | null = null;
-    try {
-      existing = (await request("GET", `/collections/${name}`)) as {
-        result?: { config?: { params?: { vectors?: { size?: number } } } };
-      } | null;
-    } catch (error) {
-      if (!(error instanceof Error) || !error.message.includes("-> 404")) {
-        throw error;
-      }
-    }
-
-    const size = existing?.result?.config?.params?.vectors?.size;
-    if (size === vectorSize) return true;
-
-    if (size !== undefined && size !== vectorSize) {
-      log.warn(
-        { collection: name, oldSize: size, newSize: vectorSize },
-        "Qdrant archive collection vector size changed — recreating collection",
-      );
-      await request("DELETE", `/collections/${name}`);
-    }
-
-    await request("PUT", `/collections/${name}`, {
-      vectors: { size: vectorSize, distance: "Cosine" },
-    });
-    return true;
-  } catch (error) {
-    log.error(
-      {
-        error: error instanceof Error ? error.message : String(error),
-        collection: name,
-      },
-      "Failed to ensure Qdrant archive collection",
-    );
-    return false;
-  }
-}
-
-/** Upsert one embedding + payload point into a named collection. */
-export async function upsertQdrantPointV2(
-  name: string,
-  pointId: number,
-  vector: number[],
-  payload: QdrantVerdictPayload,
-): Promise<boolean> {
-  try {
-    if (!(await ensureQdrantCollectionV2(name, vector.length))) return false;
-    await requestWithRetry(
-      "PUT",
-      `/collections/${name}/points`,
-      {
-        points: [{ id: pointId, vector, payload }],
-        wait: true,
-      },
-      30_000,
-      3,
-    );
-    return true;
-  } catch (error) {
-    log.warn(
-      {
-        error: error instanceof Error ? error.message : String(error),
-        collection: name,
-      } as Record<string, unknown>,
-      "Qdrant archive upsert failed — entry skipped",
-    );
-    return false;
-  }
-}
-
-export interface QdrantArchiveHit {
-  pointId: number;
-  score: number;
-  payload: QdrantVerdictPayload;
-}
-
-/** Search a named collection for the nearest stored vector. */
-export async function searchQdrantV2(
-  name: string,
-  vector: number[],
-  limit: number,
-  scoreThreshold: number,
-): Promise<QdrantArchiveHit[]> {
-  try {
-    const json = (await request("POST", `/collections/${name}/points/search`, {
-      vector,
-      limit,
-      score_threshold: scoreThreshold,
-      with_payload: true,
-    })) as {
-      result?: Array<{
-        id?: number;
-        score?: number;
-        payload?: QdrantVerdictPayload;
-      }>;
-    };
-
-    return (json.result ?? [])
-      .filter((hit) => hit.payload?.text)
-      .map((hit) => ({
-        pointId: hit.id ?? 0,
-        score: hit.score ?? 0,
-        payload: hit.payload as QdrantVerdictPayload,
-      }));
-  } catch (error) {
-    log.warn(
-      {
-        error: error instanceof Error ? error.message : String(error),
-        collection: name,
-      } as Record<string, unknown>,
-      "Qdrant archive search failed — semantic search skipped",
-    );
-    return [];
-  }
-}
@@ -0,0 +1,195 @@
+import { createChildLogger } from "@/shared/logger/index";
+import { config } from "../../shared/config/index.js";
+import { messageStore } from "../message-capture/messageStore.js";
+import {
+  skipAgeRestrictedMessages,
+  skipAnalysisUserMessages,
+} from "./batchProcessor.js";
+import { scheduleConversationAnalysis } from "./batchScheduler.js";
+import { runCachePruneIfDue } from "./cache-prune.js";
+import {
+  ANALYSIS_LANES,
+  type AnalysisLane,
+  clearConversationProcessing,
+  conversationConsecutiveErrors,
+  conversationDebounceTimers,
+  conversationErrorCooldown,
+  conversationProcessing,
+  isConversationProcessingLocked,
+} from "./conversationState.js";
+import {
+  enqueueIndividualFallbacks,
+  individualCooldownUntil,
+  individualInFlightByConversation,
+  individualInFlightLastTouched,
+} from "./individualFallbackProcessor.js";
+
+const logger = createChildLogger("ai-recovery");
+
+/**
+ * Revert messages stuck in `processing` for longer than this.
+ * Kept in lockstep with the batch processing timeout
+ * (AI_ANALYSIS_PROCESSING_TIMEOUT_MS, default 120s): a row sitting past the
+ * batch budget is a leak, not a legitimate slow batch. messagesCleanup's
+ * default was lowered 300s→120s in 2026-08-24; this constant was missed and
+ * stayed at 300s — messages looked stuck for up to 5 minutes before recovery
+ * touched them.
+ */
+const STUCK_PROCESSING_AGE_MS = config.AI_ANALYSIS_PROCESSING_TIMEOUT_MS;
+
+/**
+ * Starts the periodic recovery worker.
+ *
+ * Recovers two classes of stranded work:
+ *  - `pending` messages → re-scheduled through the normal per-lane debounce.
+ *  - `error` / `analysis_incomplete` messages → individual fallback queue.
+ *
+ * Also prunes stale in-memory bookkeeping (lane locks, per-conversation
+ * circuit-breaker counters, individual-fallback in-flight markers) so a
+ * crashed batch cannot wedge a conversation forever, and triggers the
+ * throttled cache-prune sweep.
+ *
+ * Skips conversations that already have individual fallback work in progress
+ * to avoid DB last-write-wins races.
+ */
+export function startRecoveryWorker(): void {
+  setInterval(() => {
+    runCachePruneIfDue();
+
+    // Revert stuck `processing` messages back to `pending` unconditionally.
+    // The old `if (conversationProcessing.size > 0)` guard skipped the revert
+    // when the in-memory lock map was empty (fresh boot, or every lock was
+    // already pruned) — precisely the moment stranded `processing` rows from
+    // a previous process still need rescuing. `revertStuckProcessingMessages`
+    // is a cheap UPDATE..RETURNING keyed on ai_status + age, safe to run
+    // every interval; it matches 0 rows when there is nothing to do.
+    messageStore
+      .revertStuckProcessingMessages(STUCK_PROCESSING_AGE_MS)
+      .catch((err: unknown) => {
+        logger.error(
+          { error: String(err) },
+          "Failed to run stuck processing recovery",
+        );
+      });
+
+    Promise.all([
+      messageStore.getPendingConversationKeys(500),
+      messageStore.getConversationKeysWithIncompleteAnalysis(200),
+    ])
+      .then(([pendingKeys, incompleteKeys]) => {
+        const now = Date.now();
+
+        pruneStaleConversationState(now);
+
+        const incompleteKeySet = new Set(incompleteKeys);
+
+        // --- Batch recovery for pending messages ---
+        for (const key of pendingKeys) {
+          if (
+            ANALYSIS_LANES.some((lane) =>
+              conversationDebounceTimers.has(`${key}::${lane}`),
+            )
+          ) {
+            continue;
+          }
+          // Batch recovery must not race ANY in-flight batch lane, so the
+          // lock check is lane-agnostic here (individual fallback handles
+          // error rows separately).
+          if (isConversationProcessingLocked(key)) continue;
+          if (individualInFlightByConversation.has(key)) continue;
+          if (incompleteKeySet.has(key)) continue;
+          const cooldownUntil = conversationErrorCooldown.get(key);
+          if (cooldownUntil && now < cooldownUntil) continue;
+          // No lane specified → schedule BOTH lanes; each fetches its own
+          // pending subset from the DB.
+          scheduleConversationAnalysis(key);
+        }
+
+        // --- Individual recovery for error/analysis_incomplete messages ---
+        // Circuit breaker check: no point iterating if individual CB is active.
+        if (now >= individualCooldownUntil) {
+          const promises: Promise<void>[] = [];
+          for (const key of incompleteKeys) {
+            // Skip if individual work is already running for this conversation.
+            if (individualInFlightByConversation.has(key)) continue;
+            // Skip if batch processing is running.
+            if (isConversationProcessingLocked(key)) continue;
+
+            promises.push(
+              recoverIncompleteConversation(key).catch((err: unknown) => {
+                logger.error(
+                  { key, error: String(err) },
+                  "Failed to fetch incomplete messages for recovery",
+                );
+              }),
+            );
+          }
+          // Errors are handled per-key; return the combined promise for observability.
+          return Promise.all(promises);
+        }
+      })
+      .catch((err: unknown) => {
+        logger.error(
+          { error: err instanceof Error ? err.message : String(err) },
+          "Pending AI analysis recovery worker failed",
+        );
+      });
+  }, config.AI_ANALYSIS_RECOVERY_INTERVAL_MS);
+}
+
+/** Fetch one conversation's incomplete messages and queue them individually. */
+async function recoverIncompleteConversation(key: string): Promise<void> {
+  const msgs = await messageStore.getIncompleteMessagesByConversation(key, 500);
+  const processable = await skipAnalysisUserMessages(
+    await skipAgeRestrictedMessages(msgs),
+  );
+  if (processable.length > 0) {
+    enqueueIndividualFallbacks(processable);
+  }
+}
+
+/**
+ * Drop stale in-memory bookkeeping:
+ *  - per-lane processing locks past the timeout (pruned PER LANE so one stale
+ *    lane never clears the other lane's healthy lock),
+ *  - individual-fallback in-flight markers that stopped being touched,
+ *  - per-conversation circuit-breaker error counts whose cooldown has lapsed.
+ */
+function pruneStaleConversationState(now: number): void {
+  for (const [key, expiry] of conversationErrorCooldown) {
+    if (now >= expiry) conversationErrorCooldown.delete(key);
+  }
+
+  for (const [key, record] of conversationProcessing) {
+    for (const lane of ANALYSIS_LANES as readonly AnalysisLane[]) {
+      const startedAt = record?.[lane];
+      if (
+        startedAt &&
+        now - startedAt >= config.AI_ANALYSIS_PROCESSING_TIMEOUT_MS
+      ) {
+        clearConversationProcessing(key, lane);
+      }
+    }
+  }
+
+  const staleThreshold = config.AI_ANALYSIS_PROCESSING_TIMEOUT_MS * 2;
+  for (const [key, lastTouched] of individualInFlightLastTouched) {
+    if (now - lastTouched >= staleThreshold) {
+      individualInFlightLastTouched.delete(key);
+      individualInFlightByConversation.delete(key);
+      logger.warn(
+        { key },
+        "Pruned stale individualInFlightByConversation entry",
+      );
+    }
+  }
+
+  // Also prune stale per-conversation CB error counts that have cooled
+  // down so old conversations can be retried.
+  for (const [key] of conversationConsecutiveErrors) {
+    const cbExpire = conversationErrorCooldown.get(key) ?? 0;
+    if (cbExpire && now >= cbExpire) {
+      conversationConsecutiveErrors.delete(key);
+    }
+  }
+}
Author	SHA1	Message	Date
mytheclipsebotreview	2b6ec59286	refactor(ai): remove semantic embedding cache + Qdrant vector store Hapus seluruh fitur embedding/Qdrant (tidak dipakai lagi): - gateway: drop embeddingClient.ts, qdrantClient.ts, archiveEmbedder.ts dan tes qdrantEnsure.test.ts; moderationOrchestrator kembali ke exact-hash cache -> LLM (tanpa phase-2 semantic lookup); textCacheStore kehilangan findSimilarTextModeration / parseQdrantVerdict / isSemanticBandAccepted / upsertBareKeyToQdrant; cache-prune hanya menyapu Postgres. - backend: drop embed.ts + qdrant.ts, endpoint messages.semanticSearch dan schema/type terkait; kolom embedding dilepas dari schema text_analysis_cache. - frontend: hapus toggle EXACT/SEMANTIC, hook useSemanticSearch, API client + tipe SemanticSearchResult. - config: buang AI_LLM_EMBEDDING_* dan QDRANT_* (env + .env.example). - docs: ARCHITECTURE.md / AGENTS.md / README.md / diagram arsitektur disesuaikan (LLM caller - vision, cache = exact-hash saja). Verifikasi: tsc 0 (backend, gateway, frontend); bun test 135 pass + 37 pass, 0 fail; biome 0 error.	2026-09-25 01:38:51 +07:00
mytheclipsebotreview	fdc7f01c26	fix(ci): replace leftover pnpm reference in gateway nativeBuildInputs with bun (build failure)	2026-09-25 00:47:56 +07:00
mytheclipsebotreview	f31b1f62d4	Merge remote-tracking branch 'origin/main' # Conflicts: # services/frontend/pnpm-lock.yaml	2026-09-25 00:38:10 +07:00
mytheclipsebotreviewandgit-migration[bot]	7be069d73f	chore: migrate monorepo toolchain pnpm+vitest → bun (bun test, bunfig preload, bun.lock) - Gateway + backend + frontend: pnpm/vitest fully removed → bun 1.3.14 (bun install, bun test tests/, bunfig.toml [test] preload, bun.lock). - vitest configs deleted; vitest→bun facade (jest/mock/spyOn/waitForCompat) keeps the vitest-style assertions working under bun:test. - flake.nix: bunInstall switch; pruned prod-pass now removes post-pnpm dev-toolchain trees; frontend builds Next standalone via bun's next. - CI: deploy.yml installs with bun + runs bun test tests/ per service. - 190 tests green (146 gateway + 37 backend pass, 14 skip), 0 fail; tsc + biome across all 3 services clean. Co-authored-by: git-migration[bot] <noreply@gmw.local>	2026-09-24 23:50:30 +07:00
mytheclipsebotreview[bot]	88373985ec	Auto-merge PR #89 build(deps): bump @orpc/client from 1.15.2 to 1.15.3 in /services/frontend in the production group	2026-09-24 14:48:31 +00:00
mytheclipsebotreview[bot]	7acc49e1fb	Auto-merge PR #88 build(deps-dev): bump the development group in /services/discord-gateway with 2 updates	2026-09-24 14:45:56 +00:00
mytheclipsebotreview[bot]	81b3128bb0	Auto-merge PR #87 build(deps): bump the production group in /services/backend with 2 updates	2026-09-24 14:39:35 +00:00
dependabot[bot]	1d0b3f422d	build(deps): bump @orpc/client Bumps the production group in /services/frontend with 1 update: [@orpc/client](https://github.com/middleapi/orpc/tree/HEAD/packages/client). Updates `@orpc/client` from 1.15.2 to 1.15.3 - [Release notes](https://github.com/middleapi/orpc/releases) - [Commits](https://github.com/middleapi/orpc/commits/v1.15.3/packages/client) --- updated-dependencies: - dependency-name: "@orpc/client" dependency-version: 1.15.3 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: production ... Signed-off-by: dependabot[bot] <support@github.com>	2026-09-24 14:25:59 +00:00
dependabot[bot]	0aef0b6c08	build(deps-dev): bump the development group Bumps the development group in /services/discord-gateway with 2 updates: [@types/node](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/node) and [drizzle-kit](https://github.com/drizzle-team/drizzle-orm). Updates `@types/node` from 26.4.0 to 26.6.2 - [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases) - [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/node) Updates `drizzle-kit` from 0.31.10 to 0.31.11 - [Release notes](https://github.com/drizzle-team/drizzle-orm/releases) - [Commits](https://github.com/drizzle-team/drizzle-orm/compare/drizzle-kit@0.31.10...drizzle-kit@0.31.11) --- updated-dependencies: - dependency-name: "@types/node" dependency-version: 26.6.2 dependency-type: direct:development update-type: version-update:semver-minor dependency-group: development - dependency-name: drizzle-kit dependency-version: 0.31.11 dependency-type: direct:development update-type: version-update:semver-patch dependency-group: development ... Signed-off-by: dependabot[bot] <support@github.com>	2026-09-24 14:25:56 +00:00
dependabot[bot]	cd1d6b2d0d	build(deps): bump the production group Bumps the production group in /services/backend with 2 updates: [@orpc/server](https://github.com/middleapi/orpc/tree/HEAD/packages/server) and [drizzle-orm](https://github.com/drizzle-team/drizzle-orm). Updates `@orpc/server` from 1.15.2 to 1.15.3 - [Release notes](https://github.com/middleapi/orpc/releases) - [Commits](https://github.com/middleapi/orpc/commits/v1.15.3/packages/server) Updates `drizzle-orm` from 0.45.2 to 0.45.3 - [Release notes](https://github.com/drizzle-team/drizzle-orm/releases) - [Commits](https://github.com/drizzle-team/drizzle-orm/compare/0.45.2...0.45.3) --- updated-dependencies: - dependency-name: "@orpc/server" dependency-version: 1.15.3 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: production - dependency-name: drizzle-orm dependency-version: 0.45.3 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: production ... Signed-off-by: dependabot[bot] <support@github.com>	2026-09-24 14:25:31 +00:00
asepharyana	c888f23901	fix(gateway): flagged high/critical severity always eligible for auto-delete The LLM's recommended_action is conservative — for a flagged message at high/critical severity it frequently emits 'review' (screenshot/context ambiguity) even when the violation is severe (harassment, SARA, threats). autoDeleteEligibility trusted that value, so serious violations slipped through undeleted (e.g. harassment flagged high but review → not eligible). Fix: flagged + high/critical severity bypasses the recommended-action check entirely (always eligible); the action check now only gates warn/flagged-medium. deriveRecommendedAction also returns delete for flagged high/critical BEFORE consulting the stored LLM action. +5 regression tests.	2026-09-24 18:57:41 +07:00
asepharyana	54d02098c8	fix(frontend): rename stale 'AI heuristic reasoning' label to 'AI moderation analysis' The label predates the LLM pipeline — all analysis (including LLM output) was mislabeled as heuristic. The analysis field is LLM-generated moderation justification.	2026-09-24 18:08:55 +07:00
asepharyana	5fc0e8b3cb	fix(gateway): surface failed URL fetches to moderation LLM Links that fail to fetch (Facebook share 400, login walls, anti-bot) previously vanished from the prompt entirely — the LLM only saw the raw URL in the message body, so its analysis degraded to a template like "Pengguna membagikan tautan Facebook". Now the text batch tracks failed-fetch URLs and injects <web_content fetch_error="true"> telling the LLM the page content is unverifiable and to NOT invent it, plus a prompt rule: describe what the user actually expressed from the text + conversation context, or admit the subject is unclear — never make the link itself the subject.	2026-09-24 18:03:41 +07:00
asepharyana	045cdf1f75	fix(gateway): align stuck-recovery threshold with batch timeout (300s→120s) recovery-worker used a hardcoded STUCK_PROCESSING_AGE_MS=300_000 while messagesCleanup's default and AI_ANALYSIS_PROCESSING_TIMEOUT_MS are both 120s. Rows stuck between 2 and 5 minutes were never reverted by the recovery worker — they looked permanently stuck (and accumulated under load) even though the batch budget had long passed. Now derives the threshold from config so the two knobs can never drift again.	2026-09-24 17:52:17 +07:00
asepharyana	deed7bdfb0	fix(gateway): destroy AI worker pools on graceful shutdown Piscina worker threads outlive process.exit() and linger as orphaned processes holding DB connections/locks after a deploy restart. Two live gateways then fight over the same messages table rows (one claims processing, the other reverts), which left messages stuck in ai_status='processing' forever. Destroy both worker pools before closing the DB, with a 5s fallback so a hung vision job cannot block shutdown indefinitely.	2026-09-24 17:26:54 +07:00
asepharyana	c4d9ade85e	debug(gateway): log lane-lock skip + dispatch in scheduleLaneTimer	2026-09-24 17:11:04 +07:00
asepharyana	80daa9f045	fix(gateway): un-claim budget-overflow messages stuck in processing getPendingMessagesByConversation() flips every fetched pending row to 'processing', then pickBatchWithinBudget() may stop early on the token budget. The tail rows that did NOT make the batch were never un-claimed, so they stayed 'processing' forever — the recovery worker reverted them (120s) only for the next wave to re-claim them, an infinite loop of stuck messages that never get analyzed (saw 22 rows, some recycled for 40+ minutes). - add computeBudgetOverflowMessages() pure helper (batchBudget.ts) - batchScheduler un-claims overflow rows back to 'pending' before dispatching the trimmed batch - recovery-worker now reverts stuck processing unconditionally (the old 'conversationProcessing.size > 0' guard skipped the revert when the in-memory lock map was empty, e.g. fresh boot — exactly when stranded rows from a previous process need rescuing) - 3 regression tests for the overflow helper	2026-09-24 16:49:27 +07:00
asepharyana	ef7708bf7d	feat(gmw): route all LLM traffic through 9router GMW moves off omniroute (100.121.180.82:20128) and off the direct NVIDIA vision endpoint onto 9router, which runs on the same host as both services (127.0.0.1:4014) — loopback avoids the TLS/proxy hop and localhost calls bypass 9router's remote-key guard. - gateway + backend: AI_LLM_BASE_URL default -> http://127.0.0.1:4014/v1 - drop stale 'omniroute' router references from comments/docs now that the active router is 9router (llmClient, llmCaller, ARCHITECTURE, AGENTS) Verified against 9router before wiring: model 'text' -> gemini-3.5-flash-lite (SSE, as the pipeline expects), 'multimodal' -> nemotron-3-nano-omni answers image input, and gemini/gemini-embedding-001 returns 3072 dims — matching the existing Qdrant collections (no reindex needed). The GMW key is already registered in 9router's apiKeys table. typecheck + lint + tests green (gateway 138, backend 37 excluding e2e).	2026-09-24 16:05:36 +07:00
asepharyana	750f3aa598	docs(gateway): correct metrics port — 4016 was wrong The metrics server binds METRICS_PORT (code default 9090; this host runs it on 4018 — 4016 is occupied by another process). Docs said 4016 in three places, which is not what the service does.	2026-09-24 15:50:15 +07:00
asepharyana	c57ee12da1	docs(gateway): consolidate README/ARCHITECTURE, drop stale MODULE_STRUCTURE README.md was the extraction-era document (referenced winston, mock-crc.ts, llmModerationClient.ts, indonesianTextNormalizer.ts — all long gone) and duplicated ARCHITECTURE.md. Rewritten as a short run-the-service guide; layout/design lives only in ARCHITECTURE.md. MODULE_STRUCTURE.md deleted: it was a stale duplicate of ARCHITECTURE.md, referenced by nothing but itself. ARCHITECTURE.md updated to the post-refactor reality: app/ lifecycle split (bootstrap/lifecycle/process-guards/metrics-collector), ai-moderation recovery-worker + cache-prune, per-module index.ts facades, one-way dependency rule, corrected init/shutdown/observability sections.	2026-09-24 15:09:13 +07:00
asepharyana	494e16b3b3	refactor(gateway): split bootstrap + aiAnalyzer, add module barrels app/: - bootstrap.ts 277 -> 145 lines: config guard, DB connect, client debug logging and startup order are now named steps with a comment header - lifecycle.ts (new): everything wired on the Discord 'ready' hook, in explicit order (inject broadcaster -> register listeners -> start workers) - process-guards.ts (new): SIGINT/SIGTERM/uncaughtException/unhandledRejection in ONE place, using isTransientStreamError() instead of two duplicated inline code lists - metrics-collector.ts (new): AI pipeline Prometheus gauges modules/: - ai-moderation/index.ts + message-capture/index.ts (new): public facades so app/ never reaches into internal files - aiAnalyzer.ts 317 -> 146 lines: pure entry API; skip-verdict recording extracted into recordSkip() - recovery-worker.ts (new): stranded-message recovery + stale lane/CB pruning - cache-prune.ts (new): 6h expired-verdict sweep, throttled + resettable - drop 3 dead re-exports (pickBatchWithinBudget/onCircuitBreakerAlert/ getConversationKey) whose consumers import the origin files directly No behavior change. typecheck + lint + 138 tests green; nix build OK.	2026-09-24 15:04:53 +07:00
asepharyana	6bf3b40cc7	refactor(gateway): drop shared barrel, migrate to granular imports + shared error helpers - delete src/shared/index.ts fat barrel; point 10 importers at the exact module they use (redis-channels, moderation-types, utils/pagination) - message-capture/types.ts re-exports from shared/moderation-types directly - shared/errors: add errorMessage() + isTransientStreamError() helpers, replacing the repeated err-message and transient-code checks - drop unused imports flagged by biome No behavior change. typecheck + lint + 138 tests green.	2026-09-24 14:58:19 +07:00
				`@@ -0,0 +1 @@`
				`// bun test preload — nothing needed for backend unit tests today.`