feat(hobbs-organizer): v1.4.0 per-TV morning routine (admin TVs tab) + photo app 1.2.1

- Admin TVs tab: wake time/days, YouTube Music playlist, Shield volume per TV,
  pushed via 5-min TV check-ins (/api/tv/config, /api/tv/report, LAN-only)
- com.dayline.photos 1.2.1: MorningActivity (screen on, volume, playlist),
  calendar alarm at wake time, Doze-safe chained check-ins
- Both TVs configured for 06:30 daily with the family playlist

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01E9NnVEico3WvFxLyjy1iW3

.claude/agents/documentation-keeper.md

@@ -142,6 +142,7 @@ When creating documentation:
 2. Full content in markdown format
 3. Mermaid diagrams embedded within the documentation
 4. Summary of what was documented and any follow-up actions needed
+5. Update the change logs
 
 When providing information to other agents:
 1. The specific information requested

.claude/settings.local.json

@@ -36,7 +36,8 @@
       "Bash(docker version:*)",
       "Bash(/tmp/mcpo-config.json << 'EOF'\n{\n  \"servers\": []\n}\nEOF)",
       "Bash(/tmp/mcpo-config.json << 'EOF'\n{\n  \"mcpServers\": {}\n}\nEOF)",
-      "Bash(/tmp/mcpo-config.json << 'EOF'\n{\n  \"mcpServers\": {\n    \"example\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@modelcontextprotocol/server-everything\"],\n      \"env\": {}\n    }\n  }\n}\nEOF)"
+      "Bash(/tmp/mcpo-config.json << 'EOF'\n{\n  \"mcpServers\": {\n    \"example\": {\n      \"command\": \"npx\",\n      \"args\": [\"-y\", \"@modelcontextprotocol/server-everything\"],\n      \"env\": {}\n    }\n  }\n}\nEOF)",
+      "Bash(sleep 20 && sshpass -p '&Rip8a115' ssh -o StrictHostKeyChecking=no glyptic@192.168.86.100 \"docker ps --filter name=n8n --format 'table {{.Names}}\\\\t{{.Status}}' && echo '---' && docker logs n8n --tail 15 2>&1\")"
     ]
   }
 }

.gitignore

@@ -17,3 +17,10 @@ Thumbs.db
 .vscode/
 *.swp
 *.swo
+
+# Tool scratch output (not infrastructure)
+.playwright-mcp/
+.superpowers/
+
+# Has its own repo: git.hobbs.farm/jeremy/friday-voice.git
+/friday-voice/

CLAUDE.md

@@ -23,59 +23,56 @@ This repository manages a **homelab infrastructure** with self-hosted services r
 hf-pdocker-01 (23GB RAM, i7-7700T, NVMe, HD 630 GPU) -- RESTORED (2026-03-08, hardware repaired)
 ├── [COMPOSE] Frigate NVR (:5000) -- Coral USB TPU (edgetpu), ~11ms inference, 13 cameras active
 ├── [COMPOSE] Frigate-Notify v2 (:5199) -- MQTT->AI->Matrix notifications
-├── [COMPOSE] clip-service (:5200) -- CLIP embeddings (ViT-L-14, CPU)
+├── [COMPOSE] clip-service (:5200) -- **RUNNING, and actively used.** CORRECTED 2026-09-21: the 2026-07-13 decommission note below was wrong for the current deployment — it was redeployed and the *live* `frigate-notify/docker-compose.yml` sets `CLIP_SERVICE_URL=http://localhost:5200`, with live `app/recognition.py` calling `/embed`. ~1.2GB RSS. **Do not remove without first rewiring frigate-notify's recognition pipeline.**
 ├── [COMPOSE] Home Assistant (:8123)
-├── [COMPOSE] ESPHome (:6052)
+├── [COMPOSE] ESPHome (:6052) -- manages **Pool Value Controls** (ESP8266 at static **192.168.86.6**, drives pool pumps/valves; only ESPHome device registered in HA). Also polelightpond (.14) and living_room_lights (.153) configs, NOT in HA. See Known Issue #39.
 ├── [COMPOSE] Mosquitto (:1883, :8883)
-├── [COMPOSE] Synapse/Matrix (:8008) + synapse-db (postgres) + wellknown (:8010)
+├── [COMPOSE] Synapse/Matrix (:8008) + wellknown (:8010) + synapse-db (**postgres:16-alpine, LOCAL /var/lib/synapse-db, C collation**) -- Synapse data on LOCAL /var/lib/synapse. Migrated SQLite->PostgreSQL 2026-08-20 (required by syn2mas). **Auth is delegated to MAS** -- Synapse no longer serves /login.
+├── [COMPOSE] **MAS / Matrix Authentication Service (:8020 web, :8021 health) + mas-db (postgres:16-alpine, LOCAL /var/lib/mas-db)** -- OAuth2/OIDC provider for Matrix. Public: auth.hobbs.farm. Deployed 2026-08-20 to enable QR sign-in (MSC4108). QR sign-in **verified working end-to-end 2026-08-20**. **Every Matrix login now depends on this service.**
 ├── [COMPOSE] Guacamole (:8199) + guacd + guacamole-db (mysql, LOCAL /var/lib/guacamole-db)
-├── [COMPOSE] AI Agents (margaret:18790, spirit:18795 [infra ops])
+├── [COMPOSE] AI Agents (margaret:18790, spirit:18795 [infra ops]) -- **OpenClaw 2026.7.1-2, images PINNED via Dockerfile ARG** (`compose/hf-pdocker-01/ai-agents/{margaret,spirit}/Dockerfile`). Both primary `anthropic/claude-sonnet-4-6`, fallback `google/gemini-2.5-flash`.
-├── [COMPOSE] Traefik (reverse proxy, ports 80/443/8090)
+├── [COMPOSE] Traefik (reverse proxy, ports 80/443/8090) -- `traefik:v3.7` (3.7.16, bumped from v3.6 2026-10-26; 3.7 migration notes are k8s-only for us)
-├── [COMPOSE] AdGuard Home (:3000, :53)
+├── [REMOVED] AdGuard Home -- decommissioned 2026-07-13 (conf dir had been empty since 2026-05-17, DNS engine never ran, LAN uses router DNS). Ports 53/3000 freed on .192.
 ├── [COMPOSE] Monitoring (Grafana :3001, Prometheus :9095, Alertmanager :9093, InfluxDB :8086, Blackbox :9115, matrix-receiver :9094)
 ├── [COMPOSE] Farm Manager API (:8888) -- dashboard + API server
 ├── [COMPOSE] Farm Agent (:8889)
 ├── [COMPOSE] Rongorongo decipherment engine -- 2 containers (rongorongo-web :8181, rongorongo-api). Server-synced state at /mnt/docker-data/configs/rongorongo/data. Traefik basicAuth on rongorongo.hobbs.farm.
-├── [REMOVED] VoiceCoach -- moved to GPU machine (192.168.86.27) 2026-04-04, now Ubuntu
+├── [COMPOSE] LinkedStorm (:8300 pipeline, :8310 api, cron no-port) -- whole-home audio assistant. VAD+Whisper STT+speaker-ID. Deployed 2026-05-28. Public: linkedstorm.hobbs.farm -> :8310.
-├── [COMPOSE] Node-exporter (:9100) -- standalone with pid:host
+├── [REMOVED] VoiceCoach -- moved to GPU machine (192.168.86.150) 2026-04-04
+├── [COMPOSE] **Onyx (RAG/search) -- 10 containers, `/mnt/docker-data/compose/hf-pdocker-01/onyx`.** NOT decommissioned (the bart entry below refers to an older, separate deployment). Public: **onyx.hobbs.farm** -> nginx :3005. Custom build: `gitea_patch.py` + `unstructured_patch.py` index Gitea (`git.hobbs.farm/api/v1`) and call unstructured-api on .100:8000. LLM -> `192.168.86.150:18020/v1` (`qwen3.8-27b`) — **dead while .150 is down.** `onyx-opensearch-1` **stopped 2026-09-21** (`ENABLE_OPENSEARCH_INDEXING_FOR_ONYX=false`, held no Onyx data, nothing `depends_on` it; freed ~1.1GB). **2026-10-10: it came back on its own after .192's crash/reboot (1.5GB) — now stopped, `restart=no`, and gated behind compose `profiles: ["opensearch"]` so neither reboots nor `compose up` revive it.** Restart with `docker compose --profile opensearch up -d opensearch` if the flag is ever flipped.
+├── [COMPOSE] hermes -- **moved here from .150** (host network, `/mnt/docker-data/compose/hf-pdocker-01/hermes`, pinned `v2026.8.18`). Points at `http://192.168.86.150:18020/v1` model `qwen3.8-27b`; that endpoint is **dead**, so every call burns 200s x3 retries and fails. Note this is a different host:port than the `.150:8081` llamacpp setup documented in the GPU Machine section.
+├── [COMPOSE] litellm (:4000?) + litellm-db -- LLM proxy (see Known Issue #15)
+├── [COMPOSE] synapse-admin -- Synapse admin UI
+├── [COMPOSE] Node-exporter (:9100) -- standalone with pid:host, **v1.12.1** (was v1.7.0 from 2023 until 2026-10-26)
 ├── [COMPOSE] Telegraf -- metrics collection to InfluxDB
-├── [CRON] sync-frigate-to-nas (daily 2am), cleanup-frigate-media (weekly Sun 3am), restart-frigate (daily 4am)
+├── [CRON] sync-frigate-to-nas (daily 2am), cleanup-frigate-media (weekly Sun 3am), restart-frigate (4x daily 4am/10am/4pm/10pm, log ~/frigate-restart.log)
 ├── 5TB USB disk at /mnt/frigate-recordings (Frigate recordings storage)
 
 bart (15GB RAM, i5-4570T, HDD)
-├── [COMPOSE] Media Stack (Jellyfin, Sonarr, Radarr, SABnzbd, NZBHydra2, Jellyseerr)
+├── [COMPOSE] Media Stack (Jellyfin, Sonarr, Radarr, SABnzbd, NZBHydra2, **Seerr** -- replaced Jellyseerr 2026-10-17, `seerr/seerr:v3.5.1`, config LOCAL /var/lib/seerr) -- Sonarr config on LOCAL /var/lib/sonarr, NZBHydra config on LOCAL /var/lib/nzbhydra (2026-07-13), **Jellyfin config on LOCAL /var/lib/jellyfin (2026-07-19)** -- all moved off NFS after SQLite/lock crashes. **Jellyfin on official STABLE 12.x, pinned to the dated tag `jellyfin/jellyfin:12.3.20261023-013714` (12.3.0, 2026-10-26).** History: ran the 2026060106 unstable build from 2026-07-14 because the DB had been migrated to the v12 schema (10.11.x cannot read it); stable 12.0 shipped 2026-09-08, moved to 12.2 on 2026-10-17, 12.3 on 2026-10-26 (DB backup `/var/lib/jellyfin-backup-20261026-pre123`). **Never go below 12.**
-├── [COMPOSE] Onyx (:3005) -- redeployed 2026-05-20, all services :latest, Watchtower disabled on all 10
+├── [REMOVED] Onyx -- this *bart* deployment was decommissioned 2026-07-13. **A different, newer Onyx now runs on hf-pdocker-01 (see above) — 'Onyx is gone' is false.**
-├── [COMPOSE] OpenVAS (vulnerability scanner)
+├── [REMOVED] OpenVAS -- decommissioned 2026-07-19 per user (containers, volumes incl. PG DB, image removed; ~39GB freed with other cleanup). Compose dir kept for reference. History: pg_upgrade crash-loop (Known Issue #21), DB wiped fresh 2026-07-15.
 ├── [COMPOSE] Farm Agent (:8889)
-├── [COMPOSE] Node-exporter (:9100) -- standalone with pid:host
+├── [COMPOSE] Node-exporter (:9100) -- standalone with pid:host, **v1.12.1** (was v1.7.0 from 2023 until 2026-10-26)
 ├── [COMPOSE] Telegraf -- metrics collection to InfluxDB
-├── [COMPOSE] Watchtower
+├── [COMPOSE] Watchtower -- `nickfedor/watchtower` (maintained fork; containrrr is archived), runs **twice daily 04:00 + 16:00** (`WATCHTOWER_SCHEDULE=0 0 4,16 * * *`)
-
-GPU workstation / Jeremy's PC (192.168.86.27, Ubuntu 24.04 — migrated from Windows 2026-05-28)
-├── RTX 3090 (24GB VRAM), i7-13700KF, 32GB RAM
-├── [COMPOSE] Ollama (:11434) -- 21 local models, v0.24.0
-├── [COMPOSE] Open WebUI (:8080) -- AI chat, points to local Ollama
-├── [REMOVED] vLLM-Hermes -- removed 2026-05-29, VRAM freed for Speaches CUDA
-├── [COMPOSE] Speaches (:8000) -- STT/TTS via faster-whisper + Kokoro, CUDA
-├── [COMPOSE] LiveKit (:7880/:7881) -- WebRTC for VoiceCoach, key: devkey
-├── [COMPOSE] Portainer (:9000, :8002)
-├── [COMPOSE] Prometheus (:9090), DCGM-exporter (:9400), node-exporter (:9100)
-├── [COMPOSE] Watchtower (label-enable mode)
-├── Compose file: /home/glyptic/Docker/compose/docker-compose.yml
-├── vLLM compose: /home/glyptic/Docker/vllm-hermes/docker-compose.yml
-└── Model cache: /home/glyptic/Docker/data/models/
 
 hf-pdocker-02 (7.6GB RAM, i7-6700T, HDD)
-├── [COMPOSE] UniFi OS Server (:11443 HTTPS, :8080 inform, :3478/udp STUN) -- ghcr.io/lemker/unifi-os-server v5.1.15, replaced legacy linuxserver/unifi 2026-05-31. Data local at /var/lib/unifi-os/, /persistent on NAS.
+├── [REMOVED] UniFi OS Server -- the `unifi-os-server` container (ghcr.io/lemker/unifi-os-server, v5.1.15) was decommissioned 2026-10-05. It was a **duplicate/idle** controller -- the real UniFi controller is the **Podman UniFi OS Server on the Windows box (.150)**, which manages all UniFi devices (e.g. `downstairsswitch` US-24-250W at 192.168.86.159, inform `http://192.168.86.150:8080/inform`). Container + image + network removed; ports 11443/8080/3478/etc freed on .100. **Data preserved** at `/var/lib/unifi-os/*` (971M local) + `/mnt/docker-data/configs/unifi-os/persistent` (NAS); compose dir kept for reference. **Only .150 manages UniFi, by design.** **2026-10-26: it was found RUNNING again** (the 10-05 removal never stuck -- journal shows it up again later that same day, then recreated from its compose dir 2026-10-17 21:06Z). Removed again (container, `unifi_default` network, `ghcr.io/lemker/unifi-os-server` + stale `linuxserver/unifi-network-application` images) and the compose file renamed to `docker-compose.yml.decommissioned-20261026` + `DECOMMISSIONED.txt` so a stray `compose up` cannot revive it. Data still preserved.
-├── [COMPOSE] Gitea + gitea-db (PostgreSQL)
+├── [COMPOSE] Gitea + gitea-db (PostgreSQL) -- LevelDB queues on LOCAL /var/lib/gitea-queues (2026-07-13, stale NFS lock caused 7,972-restart loop)
-├── [COMPOSE] Semaphore + semaphore-db (MySQL)
+├── [COMPOSE] Semaphore + semaphore-db (MySQL, LOCAL /var/lib/semaphore-db since 2026-07-13)
 ├── [COMPOSE] Wiki.js + wikijs-db (PostgreSQL)
-├── [COMPOSE] Vaultwarden, Actual Budget, MCPO, Trivy
+├── [COMPOSE] Vaultwarden, MCPO, Trivy
+├── [COMPOSE] SearXNG (`searxng/searxng:latest`) -- found running 2026-10-26, previously undocumented here
+├── [COMPOSE] unstructured-api (:8000, `downloads.unstructured.io/unstructured-io/unstructured-api:latest`) -- used by Onyx's `unstructured_patch.py` on .192
+├── [REMOVED] Actual Budget -- decommissioned 2026-07-13 (data kept at /mnt/docker-data/configs/actual-budget)
 ├── [COMPOSE] n8n + n8n-db (PostgreSQL) -- workflow automation
+├── [COMPOSE] CouchDB (:5984) -- Obsidian LiveSync backend for the Second Brain vault. LAN-only. LOCAL disk (NOT NFS).
+├── [COMPOSE] **Hobbs Family Organizer (:8340)** -- Shield TV family dashboard (calendar/weather/headlines/markets), deployed 2026-11-04, replaces the ChatGPT-Sites-hosted `dayline-tv` page. Next.js 16 / Node 22, image **built locally** (`hobbs-family-organizer:1.4.0` since 2026-11-04 late night; `1.0.0`–`1.3.0` kept for rollback; Watchtower disabled). **v1.4.0 adds the admin TVs tab**: per-TV morning routine (wake time + days, YouTube Music playlist, Shield volume) pushed to TVs by check-in (`GET /api/tv/config` every 5 min, `POST /api/tv/report`, both LAN-only; status in `data/tv-status.json`). TVs are identified by the photo app's per-app Android ID (.179 = `2f49d9d58ea552b4`, .186 "Jack's tv" = `cc516afd2195c2cc`). **v1.3.0 adds `/photo/gallery`** (remote-driven grid: arrows move, OK opens full screen, ◀ ▶ browse, Back returns; Slideshow button; idle 10 min -> slideshow) and a 400px tile per photo (`<key>.m.jpg`). Slideshow interval set to **15s** (was 20s) per user. **v1.2.0 adds the photo frame `/photo`** (slideshow of Google Photos shared albums, scraped from the share page because Google's Library API lost album access 2025-03-31, + admin uploads; synced every 6h into LOCAL `data/photos/`, ~0.5MB/photo; current album "TV screensaver", 46 photos). Photo health `GET /api/health/photos` = 503 when an album has not synced for 48h. **Shield photo app `com.dayline.photos` v1.2.1** (2026-11-04; runs the morning routine: alarm at wake−30s -> MorningActivity turns screen on, sets volume, starts the playlist in YouTube Music (`music.youtube.com/watch?list=`); second alarm at the wake time opens `com.dayline.tv` on top. **Needs two ADB grants per TV, already done on both:** `appops set com.dayline.photos SYSTEM_ALERT_WINDOW allow` (start other apps from background) and `dumpsys deviceidle whitelist +com.dayline.photos` (network during Doze -- without it a sleeping TV never checks in). The old `com.dayline.tv` 6:30 alarm flag is still set on both as a backup -- **remove it once the new routine is proven**, or admin time changes will still get a 6:30 calendar launch; separate APK: launcher tile opens `/photo/gallery` and takes D-pad input, Back steps back through WebView history; screensaver/DreamService loads `/photo`, non-interactive; default URL baked in, override via `files/base_url` with `run-as`). Built on .100 by `compose/hf-pdocker-02/hobbs-organizer/build-photos-apk.sh` (JDK17 container, SDK cached in volume `hobbs-android-sdk`). **Signing key** `/var/lib/hobbs-organizer/apk-signing/` (root 600) + NAS copy `/mnt/docker-data/configs/hobbs-organizer/apk-signing/` -- losing it means uninstall/reinstall for any update. Installed on **both Shields** (.186 canary, then .179 on 2026-11-04 after the user confirmed .186) and set as the screensaver on both (previous on each: `com.google.android.backdrop/.Backdrop`, saved in `~/hobbs-shield/screensaver-before-{186,179}.txt` on .100; rollback = `adb shell settings put secure screensaver_components <that value>`). **v1.1.0 adds `/admin`** (password, LAN-only, manages calendar links with masked display/test/history-revert); settings + scrypt password hash live in LOCAL `/var/lib/hobbs-organizer/data` (uid 10001, 700) — calendars now come from `data/settings.json`, the secrets file is only a first-start seed. Inside the container a small front proxy on :3000 stamps the real client IP (Next.js runs on 127.0.0.1:3001) so admin can refuse non-LAN and proxied requests. Password reset: `docker exec -u 10001 hobbs-family-organizer-organizer-1 node container/reset-admin.mjs`. Source = `tv app/Hobbs-Family-Organizer-Self-Hosted-v1.0.0/`; deploy dir `/mnt/docker-data/compose/hf-pdocker-02/hobbs-organizer` (bundle + `compose.override.yaml` + `.env`, repo copy `compose/hf-pdocker-02/hobbs-organizer/`). **Trusted-LAN mode** (empty token, per user). Secrets on LOCAL `/var/lib/hobbs-organizer/secrets/` (root 600 -- NFS root_squash would block start.mjs). Both Shields (.179, .186) run APK v1.4 pointed at it, and both have the daily 6:30 AM wake-and-launch enabled (flag `files/daily_wake_0630_enabled`; .186 added 2026-11-04). It wakes a sleeping Shield; the TV powers on only via HDMI-CEC. See memory `hobbs-family-organizer`.
 ├── [COMPOSE] Farm Agent (:8889)
-├── [COMPOSE] Node-exporter (:9100) -- standalone with pid:host
+├── [COMPOSE] Node-exporter (:9100) -- standalone with pid:host, **v1.12.1** (was v1.7.0 from 2023 until 2026-10-26)
 ├── [COMPOSE] Telegraf -- metrics collection to InfluxDB
-├── [COMPOSE] Watchtower
+├── [COMPOSE] Watchtower -- `nickfedor/watchtower` (maintained fork; containrrr is archived), runs **twice daily 04:00 + 16:00** (`WATCHTOWER_SCHEDULE=0 0 4,16 * * *`)
 
 ```
 
@@ -83,11 +80,9 @@ hf-pdocker-02 (7.6GB RAM, i7-6700T, HDD)
 
 ### Environment Context
 
-You are working on a **native Ubuntu 24.04 workstation** (previously WSL2 on Windows — migrated 2026-05-28). This machine IS the GPU inference box (RTX 3090, 192.168.86.27). Docker is available locally and runs the inference stack. All homelab node operations (hf-pdocker-01, hf-pdocker-02, bart) still require SSH.
+You are working in a **WSL 2 environment** on Windows. Docker is NOT directly available in WSL - all Docker operations must be performed by connecting to the remote nodes via SSH.
 
-**Local Docker on this machine** runs: Ollama, Open WebUI, vLLM-Hermes, Speaches, LiveKit, Portainer, Prometheus, DCGM-exporter.
+**Critical:** Docker is not available locally in WSL. All Docker operations must be performed by connecting to the remote nodes via SSH.
-
-**Critical:** For homelab nodes, use the `docker-swarm-ops` agent via SSH. For local inference services, Docker commands run directly.
 
 ### Storage Architecture
 
@@ -105,6 +100,8 @@ All service data lives on the **Synology NAS** via NFS, mounted at `/mnt/docker-
     └── bart/{media,openvas,watchtower}/
 ```
 
+**hf-pdocker-02 fixed 2026-11-04 after the 11-03 power event** (dockerd was dead 27h: stale Swarm membership made it fatal-exit when .192:2377 was unreachable, and `/mnt/docker-data` had not mounted): `docker swarm leave --force` done (**side effect: it wiped Docker's embedded-DNS container-name records, so `wikijs-db`/`gitea-db`/… stopped resolving even for new containers -- external DNS was fine, existing DB pools kept working, new connections failed. Fixed by restarting all 18 containers DBs-first. When doing bart: restart its containers or dockerd right after `swarm leave`**), and the `/mnt/docker-data` fstab line now has `nofail,x-systemd.after=network-online.target,x-systemd.mount-timeout=60s` (backup `/etc/fstab.bak-20261104-nfs-nofail`). Its other NAS lines (`/mnt/infrastructure`, `/mnt/NAS` cifs, `/data/media`, `/mnt/nas-media`) still lack it. **bart fixed the same way 2026-11-04** (user-approved): `docker swarm leave`, then `systemctl restart docker` straight away (every bart container is `unless-stopped`, so this rebuilds embedded DNS in one step -- verified all names resolve on `media_default`), and its `/mnt/docker-data` fstab line got the same `nofail,...` options (backup `/etc/fstab.bak-20261104-nfs-nofail`). bart's other NAS lines (`/data/media`, `/mnt/infrastructure`, `/mnt/nas-media`, the `/mnt/frigate-storage` cifs line -- which has the node password in plaintext) were left alone: `nofail` on the media mounts would let Jellyfin/Sonarr/Radarr start against empty dirs. The stale bart/.100 entries were `docker node rm`'d on .192, which is now a **single-node swarm of itself** (harmless: it is the manager, so it never blocks at boot; `docker swarm leave --force` there is optional cleanup).
+
 **NFS mount (all nodes):** `192.168.86.30:/volume1/Docker /mnt/docker-data nfs rw,soft,timeo=300,intr,_netdev,nfsvers=3,nofail,x-systemd.after=network-online.target,x-systemd.mount-timeout=60s 0 0`
 **Note (hf-pdocker-01):** Both NFS mounts hardened with `nofail,x-systemd.after=network-online.target,x-systemd.mount-timeout=60s` on 2026-05-20 to prevent boot-time race (network not up when NFS tried to mount, cascading ~10 container failures).
 
@@ -156,22 +153,24 @@ compose/             # Standalone Compose definitions (deployed per-node)
 - Home Assistant: `yoda.hobbs.farm`
 - Vaultwarden: `vault.hobbs.farm`
 - Gitea: `git.hobbs.farm`
-- VoiceCoach: `coach.hobbs.farm` (LiveKit WebRTC: `voice.hobbs.farm`)
+- FRIDAY Voice: `coach.hobbs.farm` — **DECOMMISSIONED 2026-08-26; `coach.hobbs.farm` returns 404, which is EXPECTED, not an outage.** CORRECTED 2026-09-21: the "UP as of 2026-08-20" text previously here was overtaken by events. The live Prometheus config records the `voicecoach` teardown (2026-08-24) and the FRIDAY Voice + speaches teardown (2026-08-26) — routing and monitoring sides done, with "container/volume teardown on .150 still pending manual action next Windows boot". The 6-container `voicecoach` project is indeed gone from .192 (verified 2026-09-21). Its `.150` images/volumes may still exist. See memory `friday-voice`.
+- MAS (Matrix auth): `auth.hobbs.farm` -- OAuth2/OIDC issuer. **If this is down, nobody can log into Matrix** (existing tokens keep working).
+- Onyx (RAG/search): `onyx.hobbs.farm` -- **self-registration is LAN-only** (Traefik `onyx-register-lockdown` router). See Known Issue #34.
 - Rongorongo: `rongorongo.hobbs.farm`
+- LinkedStorm: `linkedstorm.hobbs.farm`
 
 ### Internal Services by Node
 
 **hf-pdocker-01 (192.168.86.192):**
 - Frigate: :5000
 - Frigate Alerts (v2): :5199 (web UI + REST API)
-- clip-service: :5200 (CLIP embeddings, ViT-L-14, CPU)
 - Home Assistant: :8123
 - ESPHome: :6052
 - Mosquitto: :1883
 - Matrix/Synapse: :8008
+- MAS: :8020 (web/oauth/compat), :8021 (health only -- /health is NOT on :8020)
 - Well-known (Matrix federation): :8010
 - Guacamole: :8199
-- AdGuard Home: :3000 (DNS: :53)
 - Traefik Dashboard: :8090 (HTTP: :80, HTTPS: :443)
 - Grafana: :3001
 - Prometheus: :9095
@@ -179,22 +178,26 @@ compose/             # Standalone Compose definitions (deployed per-node)
 - InfluxDB: :8086
 - Blackbox Exporter: :9115
 - matrix-alertmanager-receiver: :9094
-- AI Agents (margaret :18790, spirit :18795 [infra ops — monitors #notifications, auto-remediates alerts]) -- LAN-accessible (bind=lan, 0.0.0.0)
+- AI Agents (margaret :18790, spirit :18795 [infra ops — monitors #notifications, auto-remediates alerts]) -- LAN-accessible (bind=lan, 0.0.0.0). OpenClaw **2026.7.1-2** (upgraded 2026-08-20 from 2026.5.27). Matrix: `@margaret:hobbs.farm` / `@spirit:hobbs.farm`, token auth against `http://192.168.86.192:8008`, encryption off, `requireMention: false`. Rollback images kept as `margaret-openclaw:rollback-2026.5.27` / `spirit-ops:rollback-2026.5.27`.
+- Onyx: :3005 (onyx-nginx). Public onyx.hobbs.farm. `onyx-opensearch-1` deliberately stopped 2026-09-21.
+- hermes: no published port (host network) -- see service tree; its LLM endpoint is currently dead.
 - Farm Manager: :8888 (dashboard + API)
 - Farm Agent: :8889
 - Rongorongo: :8181 (rongorongo-web nginx; reverse-proxies /api/* to rongorongo-api Flask backend on the internal `rongorongo` bridge net). State + images at /mnt/docker-data/configs/rongorongo/data/. Public URL gated by Traefik basicAuth (creds in Vaultwarden).
-- ~~VoiceCoach~~ -- moved to GPU machine (192.168.86.150) 2026-04-04
+- LinkedStorm: :8300 (pipeline/VAD+STT+speaker-ID), :8310 (API/dashboard), cron (no port). Public: linkedstorm.hobbs.farm -> :8310. Source: /opt/linkedstorm (rsync from WSL). Data: /mnt/docker-data/configs/linkedstorm/. STT via Speaches GPU machine :8000, LLM via Ollama :11434 (qwen2.5:14b).
+- ~~VoiceCoach~~ -- replaced by FRIDAY Voice on .150 (see GPU Machine section + memory `friday-voice`). **CORRECTION 2026-08-20: the teardown claimed below never actually happened.** All 6 containers of compose project `voicecoach` (`voicecoach-web` :8085, `-pipecat`, `-speaches`, `-speechbrain`, `-openclaw` :3100, `-livekit` :7880-7881 + 50000-50100/udp) are **running on .192, up since ~2026-08-06**. Earlier text said both projects were `docker compose down`'d on 2026-08-05; that is false for `voicecoach` (`voicecoach-v2` is genuinely gone). ~1GB RAM. `voicecoach-openclaw` was upgraded to OpenClaw 2026.7.1-2 on 2026-08-20 via `docker compose up -d --no-deps voicecoach-openclaw` (single service only — does not resurrect anything, the rest were already up). Its model is `ollama-local/qwen2.5:14b` at the **dead** `192.168.86.27:11434` with **no fallbacks**, so it cannot serve a turn. **Decide: fix its model chain or actually tear the stack down.**
 
 **hf-pdocker-02 (192.168.86.100):**
 - Farm Agent: :8889
-- Unifi: :8443
+- ~~UniFi OS Server: :11443~~ -- **REMOVED 2026-10-05** (duplicate controller; see service tree). The UniFi controller lives on **.150 (Podman), UI at https://192.168.86.150:11443, inform :8080**.
 - Gitea: :3003 (web), :2222 (SSH)
 - Semaphore: :3004
 - Wiki.js: :3002
 - Vaultwarden: :26226
-- Actual Budget: :5006
 - MCPO: :8001
 - Trivy: :4954
+- CouchDB: :5984 -- Obsidian LiveSync backend. DB `secondbrain`; admin creds in Vaultwarden ("CouchDB - Obsidian LiveSync"). LAN-only (no Traefik route). Data on LOCAL disk `/var/lib/couchdb` (NFS breaks CouchDB file locking). **`local.ini` must be mounted READ-WRITE** -- with `:ro` CouchDB exits 1 and logs nothing. Auth required on everything except `/_up` (left open for the blackbox probe). Vault repo: git.hobbs.farm/jeremy/second-brain (private); vault lives at `C:\Users\Jeremy\second-brain` on the Windows box.
+- Hobbs Family Organizer: :8340 -- Shield TV dashboard, `GET /api/health` (JSON, `calendarConfigurationValid`, `adminConfigured`). Dashboard open on LAN (trusted-LAN mode); `/photo` = photo frame; `/api/health/photos` (503 = album sync stale >48h, **probe this**); `/admin` is password-protected and LAN-only (direct 192.168.86.0/24 only -- anything arriving via a proxy gets 404, so do NOT add a Traefik route expecting admin to work through it). No Traefik route.
 
 **bart (192.168.86.167):**
 - Farm Agent: :8889
@@ -204,25 +207,26 @@ compose/             # Standalone Compose definitions (deployed per-node)
 - SABnzbd: :8082
 - NZBHydra2: :5076
 - Jellyseerr: :5055
-- OpenVAS: :9392
 
-**GPU Machine (192.168.86.150, RTX 3090, 15GB RAM):**
+**GPU Machine (192.168.86.150, RTX 3090):**
-- Ollama: :11434 (llama3.1:8b for VoiceCoach LLM, qwen2.5:14b, others)
+- **NOTE (2026-07-05):** .150 is actually the user's **Windows workstation** (runs the WSL/Claude Code session), not a headless Linux server. It runs **Docker Desktop** (WSL2 backend, RTX 3090 GPU passthrough working) alongside **UniFi OS Server** (Podman) — **this is the ONE real UniFi controller** (the duplicate container on .100 was removed 2026-10-05). UI https://192.168.86.150:11443, inform http://192.168.86.150:8080. Manages all UniFi devices incl. `downstairsswitch` (US-24-250W, 192.168.86.159; SSH `admin`/node-password). Docker Desktop panics if UniFi/Podman claims `\\.\pipe\docker_engine` first — start Docker Desktop before UniFi OS Server. See memory `docker-desktop-unifi-podman-conflict`.
-- [COMPOSE] VoiceCoach (all services co-located):
+- **FRIDAY Voice replaced VoiceCoach (2026-07-05).** VoiceCoach fully decommissioned (v1+v2 removed from hf-pdocker-01; voice.hobbs.farm route removed). See memory `friday-voice`.
-  - voicecoach-livekit: :7880/:7881, UDP 50000-50100 (public at voice.hobbs.farm)
+- [COMPOSE] **FRIDAY Voice stack (all on .150 Docker Desktop, via `docker.exe -c desktop-linux`):**
-  - voicecoach-speaches-gpu: :8000 (GPU Whisper STT + Kokoro TTS, CUDA float16)
+  - **voicecoach-speaches-gpu**: :8000 — GPU Whisper large-v3-turbo (STT) + Kokoro-82M af_nova (TTS), CUDA float16. Compose: `compose/gpu-machine/voicecoach-speaches/`. **REMOVED 2026-08-21 (see the speaches note at the end of this section) — rebuild when voice I/O is wanted again.**
-  - voicecoach-speechbrain: :8001 (emotion analysis)
+  - **hermes**: **PINNED `nousresearch/hermes-agent:v2026.8.18`** (upgraded 2026-08-20 from v2026.7.1 / v0.18.0 → v0.20.4). FRIDAY's reasoning agent. Settings in named volume `hermes-data`. Compose: `compose/gpu-machine/hermes/`. Was on `:latest` **with Watchtower disabled**, so nothing ever re-pulled it — it sat 7 weeks / 9 releases behind. Note `:latest` on this repo is the same digest as `main` (rolling dev build), so pin a `vYYYY.M.D` tag. Rollback image `nousresearch/hermes-agent:rollback-2026.7.1`; volume backup in volume `hermes-data-backup-20260820` (`hermes-data-20260820.tgz`, 29MB). **Matrix pairing:** hermes denies unknown senders by default — approve with `docker exec hermes hermes pairing approve matrix <CODE>` (`@jeremy:hobbs.farm` approved 2026-08-20; state persists in the volume). **RESOLVED 2026-08-21 by moving off ChatGPT entirely.** Its Codex refresh token had expired (`Could not validate your refresh token`) and, with **no API key set for any provider**, that was the only auth path — both Matrix and `/api/ask` failed. Verified NOT an upgrade regression (the rollback image failed identically on the same volume). Rather than re-auth interactively, hermes was pointed at the **local llamacpp** endpoint: `model.provider=llamacpp`, `model.default=qwen3.8-64k`, `model.base_url=http://192.168.86.150:8081/v1`. No tokens, no TTY, no subscription. Config backups: `/opt/data/config.yaml.bak-20260820-ollama` and `.bak-20260821-llamacpp`. **`hermes model` is interactive-only — use `hermes config set` for non-interactive changes.** hermes also **hard-refuses any model advertising <64K context** ("Choose a model with at least 64K context"), which is why the served model is a 64k build, not 32k.
-  - voicecoach-token-server: :8080 (token + settings API)
+  - **llamacpp**: :8081 — **the inference backend for hermes as of 2026-08-21.** `ghcr.io/ggml-org/llama.cpp` **pinned by digest** `sha256:995fe9f2...`. Serves `qwen3.8-64k` (alias) from ollama's GGUF blob, mounted read-only. Compose: `compose/gpu-machine/llamacpp/`. Replaced ollama as the server after a same-model/same-context benchmark: **ollama 15.8 tok/s vs llama.cpp 39.7 tok/s (2.4x)**, because `--cache-type-k/v q8_0` halves the KV cache (23.2GB -> 18.6GB) so the model fits the 3090 instead of spilling layers to CPU. Ollama has no KV-quantization knob. The image's own HEALTHCHECK probes :8080 and can never pass here, so it is `disable: true`d — liveness is an external GET of `:8081/health`.
-  - voicecoach-pipecat: pipeline agent (LLM via local Ollama llama3.1:8b)
+  - **friday-voice**: :8320 — push-to-talk console. Calls speaches (`host.docker.internal:8000`) + hermes (`docker exec hermes hermes -Q` via wrapper). Public: **coach.hobbs.farm** → :8320. Compose: `compose/gpu-machine/friday-voice/`.
-  - voicecoach-web: :8085 (public at coach.hobbs.farm)
+- Ollama: **TWO separate instances on this box, easy to confuse** —
-  - voicecoach-openclaw: :3100 (idle, kept for future Claude API routing)
+  - **Native Windows** `ollama.exe` v0.32.15, listens on `::11434` -> reachable as **`192.168.86.150:11434`**. Holds `qwen3.8`, `qwen3.8-64k`, `gemma4`. This is the LAN-visible one and the source of the GGUF that llamacpp serves.
-- Compose: ~/voicecoach-speaches/docker-compose.yml
+  - **Inside WSL** (`/usr/local/bin/ollama serve`, systemd unit, **enabled+autostart**) v0.15.5, relayed to Windows `127.0.0.1:11434` by `wslrelay.exe`. Holds `qwen2.5:14b`, `hf.co/NousResearch/Hermes-4.3-36B-GGUF:Q4_K_M`, `qwen3.6`, `glm-4.7-flash`, `qwen3-coder:30b`, `gpt-oss:20b`, `llama3.1`. **`host.docker.internal:11434` from a Docker Desktop container resolves to THIS one**, not the native one — that cost real debugging time.
+  - Both share the one physical 3090. Native ollama env (User scope): `OLLAMA_KEEP_ALIVE=30s`, `OLLAMA_MAX_LOADED_MODELS=1`, `OLLAMA_NUM_PARALLEL=1` — keep-alive was deliberately dropped from `-1` back to `30s` once llamacpp became the server, so ollama stops pinning ~22GB of VRAM. **These are read from the registry only by processes launched fresh (e.g. at login); a process started from an existing shell inherits that shell's env instead.**
+- **speaches (voicecoach-speaches-gpu) REMOVED 2026-08-21** to free ~3.3GB VRAM for the llama.cpp benchmark, per user ("they can be rebuilt later"). **Image and the `voicecoach-speaches_speaches-models` volume were kept**, so rebuild is just `docker compose -f 'C:\Users\Jeremy\projects\docker\compose\gpu-machine\voicecoach-speaches\docker-compose.yml' up -d` with no model re-download. **FRIDAY's voice in/out (STT+TTS) is down until then; the text `/api/ask` path works.** Its compose sets `WHISPER__TTL=-1`, which is why it pinned VRAM permanently — consider a finite TTL on rebuild.
 
 ### Port Conflict Notes
 
 Port conflicts already resolved:
 - Port 8000: Freed (MCPO moved to 8001, Portainer moved elsewhere)
-- Port 3000: AdGuard Home (Gitea moved to 3003)
+- Port 3000: freed 2026-07-13 (was AdGuard Home, decommissioned; Gitea remains on 3003)
 - Port 3001: Grafana (Semaphore moved to 3004)
 - Port 5000: Frigate uses host networking (registry container stopped)
 - AI Agent ports re-spaced (2026-03-15): openclaw 2026.3.13 uses gateway+2 and gateway+3 for browser/chrome-relay. Agents spaced 5 apart: margaret=18790, spirit=18795
@@ -246,6 +250,7 @@ After ANY infrastructure change (deploy, remove, reconfigure, add service, chang
 2. **MEMORY.md** — Add/update relevant memory entries
 3. **Prometheus probes** — Add/remove blackbox targets, hot-reload Prometheus
 4. **Wiki** — Launch documentation-keeper agent to update wiki pages (run in background)
+5. **Farm Manager links page** (last audited **2026-10-26**: every link probed; removed both FRIDAY Voice links, added Onyx (public + :3005), Guacamole :8199, Synapse Admin :8080, SearXNG :8888, n8n :5678, CouchDB Fauxton; MCPO -> `/docs`, Trivy -> `/healthz` (API only, no UI); Jellyseerr -> Seerr. Groups live in `/mnt/docker-data/configs/farm-manager/groups.json` -- **update them too when containers are added/renamed**. Previous audit 2026-08-20: dropped dead Clippy/Bob/Aaron links, added FRIDAY Voice + LinkedStorm + Rongorongo and a new `GPU Machine (192.168.86.150)` category; `hermes` intentionally absent — it publishes no ports. Served path is `/app.js`, not `/static/app.js`.) — If a service was added/removed or its URL/port changed: edit the `serverLinks` array in `/opt/farm-manager/server/static/app.js` on hf-pdocker-01, then rebuild + redeploy: `docker build -f /opt/farm-manager/Dockerfile.server -t farm-manager:latest /opt/farm-manager && cd /mnt/docker-data/compose/hf-pdocker-01/farm-manager && docker compose up -d` (links are baked into the image, not mounted)
 
 Do NOT wait for the user to ask. Do NOT skip "because the change was small." Every change gets documented.
 
@@ -306,10 +311,49 @@ All persistent data on NAS at `/mnt/docker-data/`:
 2. **Telegraf Docker Input**: Disabled due to Docker socket permission issues across nodes
 3. **Watchtower API Version**: Requires `DOCKER_API_VERSION=1.44`
 4. **InfluxDB Connection**: Telegraf may show timeout errors if InfluxDB is not running
-5. **Frigate cameras**: Cameras on 192.168.44.x subnet may show RTSP timeouts (check camera network)
+5. **Frigate cameras**: 192.168.44.0/24 is the **"Camera" VLAN 200** on the Firewalla (gateway 192.168.86.1 / 44.1). Cameras with 44.x IPs MUST sit on Camera-native switch ports. **2026-10-08:** house_north/.51, house_east/.58, house_south/.53, house_west/.52 are wired to downstairsswitch (.159) ports 3/4/18/19 (verified from the switch MAC table 2026-10-11), which are **VLAN 1**, so they can't be reached by routing. They only half-worked because .192's Wi-Fi NIC held a wrong-VLAN 44.x lease. The fix is to make those ports Camera-native (see memory `unifi-estate`). The nodes' `wlp2s0` Wi-Fi NICs must hold **86.x** leases; a 44.x lease there is stale and breaks routing to the real Camera VLAN. **2026-10-10: with the Wi-Fi workaround gone (86.x lease since 10-08), those 4 cameras are now fully DOWN (0 fps, no ping) until the ports are re-profiled.**
 6. **Registry container**: Stopped on hf-pdocker-01 to free port 5000 for Frigate
-7. **systemd-resolved DNSStubListener**: Must be disabled on any node running AdGuard Home (port 53 conflict). Fix: `/etc/systemd/resolved.conf.d/nostub.conf` with `DNSStubListener=no`, then `systemctl restart systemd-resolved`. Applied on hf-pdocker-01 and hf-pdocker-02.
+7. **systemd-resolved DNSStubListener**: disabled on hf-pdocker-01 and hf-pdocker-02 via `/etc/systemd/resolved.conf.d/nostub.conf` (`DNSStubListener=no`) — originally for AdGuard Home's port 53. AdGuard was decommissioned 2026-07-13; the stub-listener change is harmless and left in place (re-enable only if something needs 127.0.0.53).
 8. **NFS boot-mount race (hf-pdocker-01)**: NFS mounts failed at boot (network not ready in time). Fixed 2026-05-20 by adding `nofail,x-systemd.after=network-online.target,x-systemd.mount-timeout=60s` to both fstab entries. If mounts are missing after reboot: `sudo mount /mnt/docker-data && sudo mount /mnt/infrastructure`.
 9. **Guacamole schema**: App image pinned to `guacamole/guacamole:1.6.0` + `guacd:1.6.0` with Watchtower disabled. DB schema was reset to fresh 1.6.0 on 2026-05-20 (old schema was non-standard). Recreate connections after any DB reset.
 10. **Gitea image**: Pinned to `gitea/gitea:1.26.1` with Watchtower disabled (2026-05-20). Watchtower previously pulled broken `:latest` images causing missing git binary errors.
 11. **Home Assistant reverse proxy**: Config at `/mnt/docker-data/configs/homeassistant/configuration.yaml` (no hyphen). Must have `http: use_x_forwarded_for: true` + `trusted_proxies: [172.16.0.0/12, 127.0.0.1]` or proxied requests return 400.
+12. **hf-pdocker-01 memory pressure (2026-07-05, retrimmed 2026-07-11)**: Node runs hot (~15-18/23GB, chronic swap). Mitigations applied: `vm.swappiness` lowered 60→10 (persisted in `/etc/sysctl.d/99-swappiness.conf`), and VoiceCoach (v1+v2, ~10 containers) removed (replaced by FRIDAY Voice on .150) — **but see correction: the VoiceCoach compose stacks on .192 were only *stopped* in July, not `down`'d, and reappeared (~3GB) on the 2026-08-05 reboot; properly torn down 2026-08-05 (`docker compose down` on `voicecoach` + `voicecoach-v2`), node mem 9.0→6.7GB used.** — **this is WRONG, see 2026-08-20: only `voicecoach-v2` is gone; the 6-container `voicecoach` project is still running on .192.** Frigate is the main consumer. **2026-07-11:** Frigate's built-in AI features (`semantic_search: large`, `face_recognition`, `lpr`, `classification.bird`) were found *enabled* (contradicting the intended baseline) and re-disabled — dropped the embeddings CLIP model ~1.2GB→168MB and cut CPU inference; host mem 18→~9GB, swap 3.9→1.3GB right after. Config `/mnt/docker-data/configs/frigate/config/config.yml` (backup `.bak.20260711-aitrim`). Recognition is instead handled externally by frigate-notify v2 (clip-service was removed 2026-07-13 — frigate-notify's config never referenced it). **2026-07-12 — WHOLE-NODE CRASH:** .192 froze hard (~14:15, sshd/HA/DNS all dead, required hard reboot). Cause: Frigate `memswap_limit` had drifted to **16G** vs `mem_limit` 12G, letting it spill ~4GB into host swap; with the ffmpeg leak pinning it at 12G all day (cgroup OOM every ~45min), the host swap-thrashed to death. **Fix: node compose `memswap_limit: 12G` (= mem_limit) so Frigate can never use host swap** — a hit now trims its own ffmpeg (contained cgroup OOM), not the host. Repo already had 12G; node had drifted (never redeployed). NOTE: recording ffmpeg still leaks ~0.8GB/h atop ~6GB baseline (fills 12G in ~7.5h); twice-daily 4am+4pm restart-frigate cron mitigates but doesn't fully beat it — consider every-6h restart + fixing broken cameras (gate_camera, garage_2). Always keep `memswap_limit == mem_limit` on this node.
+13. **Docker Desktop vs UniFi OS Server pipe conflict (Windows box .150, 2026-07-05)**: Both fight over `\\.\pipe\docker_engine`; Docker Desktop's backend nil-panics ("backend exited before becoming ready") if Podman wins. Fix: let Docker Desktop (auto-starts at login) claim the pipe first, launch UniFi OS Server manually after. Full detail in memory `docker-desktop-unifi-podman-conflict`.
+14. **MySQL InnoDB corruption on NFS**: `semaphore-db` (mysql:8.0 on NFS) hit system-tablespace page corruption and crash-looped 3789× (2026-07-11), same class as the Guacamole-on-NFS issue (#9). Recovered in-place via `--innodb-force-recovery=1` → mysqldump → fresh volume → reimport (DB was empty, no data lost); admin recreated with `semaphore user add`. Any MySQL DB on NFS is at risk — prefer LOCAL storage like guacamole-db. See memory `semaphore-db-nfs-corruption`.
+15. **litellm hangs after DB blip**: litellm does NOT self-recover from a transient `litellm-db` disconnect — it loops on "Prisma DB reconnect failed" forever; needs manual `docker restart litellm`. Its healthcheck was fixed from `curl` (absent from image, permanent false-unhealthy) to a python urllib check (2026-07-11).
+16. **Stale NFS locks after unclean reboot/power loss (2026-07-12 power event)**: NFS file locks held by pre-reboot client identities survive on the Synology and block relocking — gitea crash-looped 7,972× on its LevelDB queue lock, semaphore-db 975× on `ibdata1`, and nzbhydra2 sat unhealthy on its H2 database lock. Fix applied 2026-07-13: lock-prone data moved to LOCAL disk (gitea queues → `/var/lib/gitea-queues`, semaphore-db → `/var/lib/semaphore-db` on .100; sonarr config → `/var/lib/sonarr`, nzbhydra config → `/var/lib/nzbhydra` on bart; jellyfin config → `/var/lib/jellyfin` on bart 2026-07-19 after 60-100s "database is locked" stalls on jellyfin.db caused playback lockups; **synapse data → `/var/lib/synapse` on .192 2026-08-20**, pre-emptively — its 279MB SQLite homeserver.db was on NFS). **Rule: anything holding long-lived file locks (MySQL, SQLite, LevelDB) goes on local disk, never NFS.**
+17. **Synapse rate-limited Alertmanager notifications**: default `rc_message` (0.2 msg/s) made every matrix-alertmanager-receiver send fail with M_LIMIT_EXCEEDED 429 — **no alerts reached Matrix for weeks** while outages accumulated (Onyx down 5 weeks, AdGuard dead 2 months, unnoticed). Fixed 2026-07-13: `rc_message: {per_second: 5, burst_count: 50}` in homeserver.yaml (backup `.bak-20260713-ratelimit`).
+18. **AdGuard Home decommissioned 2026-07-13**: its conf dir had been empty since 2026-05-17 (container ran the first-launch wizard, served no DNS, no backup existed) and the LAN had been using router DNS ever since. Container, data, compose dir, and Prometheus probe all removed; ports 53/3000 freed on .192. LAN DNS = the router.
+19. **Duplicate failover stacks removed from .100 and bart (2026-07-13)**: .100 ran a second monitoring stack (prometheus/grafana/alertmanager/influxdb/blackbox), an idle traefik (shared acme.json with .192 — ACME conflict risk), and a stray guacamole; bart ran a failover guacamole. All removed (~2GB RAM reclaimed). Compose dirs kept for reference; data volumes untouched.
+20. **UniFi OS Server probe port** (historical): the `unifi-os-server` container on .100 served HTTPS on host port **11443** (container 443), not 8443. **That container was removed 2026-10-05** (duplicate controller) — the sole UniFi controller is now the Podman instance on **.150** (UI https://192.168.86.150:11443, inform :8080). The live Prometheus config **did** carry a blackbox probe for `https://192.168.86.100:11443` (line 132) — it was **removed 2026-10-06** (backup `prometheus.yml.bak-20261006-unifi-probe-remove`) and Prometheus hot-reloaded, since nothing listens there now. **No probe added for the .150 controller** because that box is a workstation that is sometimes off (it would false-alarm); the switch itself (192.168.86.159) could be ICMP-probed instead if device-down alerting is wanted. (Note: the `UnifiDeviceDown` alert in `alerts.yml` keys on `unifi_device_up`, which needs a `unifi-exporter` that is NOT deployed — the metric doesn't exist, so that rule is inert, not firing.)
+21. **OpenVAS pg_upgrade loop saturated bart's HDD (2026-07-15)**: `immauss/openvas:latest` looped on the PG 13→15 auto-upgrade for ~21h (158 restarts) — each cycle re-copied the 21GB DB, pinning sda at ~90% util/40% iowait and making Jellyfin (same disk) hang. The upgrade itself succeeded every time but the final `mv /data/database /data/database_13_old` failed with "Device or resource busy" because the openvas-db volume is mounted **at** `/data/database` (can't rename a mountpoint). Fixed by wiping the DB (`docker volume rm openvas_openvas-db`) and letting it initdb fresh on PG15 — scan history lost, feeds re-synced. **On the next major PG bump this will recur** unless the upgrade is done out-of-band (content-level swap) or the volume is remounted at `/data`. General rule: a service "hanging" on bart usually means another container is eating the single HDD — check `iostat -x`/`pidstat -d` first. **OpenVAS fully decommissioned 2026-07-19** (moot unless redeployed).
+22. **Jellyfin SQLite-on-NFS lockups (fixed 2026-07-19)**: jellyfin.db (WAL mode) on `/mnt/docker-data/configs/jellyfin` hit escalating `SQLite Error 5: 'database is locked'` (22→33→125/day), DB commands blocking 60-102s → healthcheck flaps + playback stalls ("Unexpected end of request content" on /Sessions/Playing/Progress). Config moved to LOCAL `/var/lib/jellyfin` (old copy left on NFS as backup). Same class as Known Issue #16.
+
+
+23. **Matrix registration was wide open to the internet (fixed 2026-08-20)**: `mess.hobbs.farm` is publicly reachable (Traefik, port 443, federation + client API on :8008) and `homeserver.yaml` had `enable_registration: true` + `enable_registration_without_verification: true` — the registration flow was a bare `m.login.dummy`, i.e. **anyone on the internet could create an account on hobbs.farm with no email, captcha, or token**. No abuse had occurred (all 18 accounts are known/expected; newest legit account was @fry 2026-07-05). Fixed by setting both to `false` and `restrict_public_rooms_to_local_users: true` (was `false`, which published the public room directory to any remote server). Backup: `/var/lib/synapse/homeserver.yaml.bak-20260820-registration`. New accounts are still creatable on the box via `docker exec synapse register_new_matrix_user -k <registration_shared_secret>`.
+24. **Synapse database history (SQLite -> local disk -> PostgreSQL, all 2026-08-20)**: Synapse ran on **SQLite on NFS** while CLAUDE.md claimed it used a `synapse-db` postgres that in fact had **0 tables**. First the data was moved to LOCAL `/var/lib/synapse` and the empty postgres deleted; then, because `syn2mas` **only reads PostgreSQL** ("The migration tool only supports reading from PostgreSQL for the Synapse database as well"), a real `synapse-db` was created and the DB ported with `synapse_port_db` (20 users / 93,888 events / 65 devices, verified identical; 2m35s downtime). The PG database MUST have `LC_COLLATE=C` -- verify with `select datcollate from pg_database where datname='synapse'` (PG16 removed the `SHOW lc_collate` GUC). The old SQLite file is still at `/var/lib/synapse/homeserver.db`, now inert; NFS copy at `/mnt/docker-data/configs/matrix/data` is an older backup -- **never remount either**.
+25. **Synapse upgraded 1.148.0 -> 1.159.0 and moved to the element-hq registry (2026-08-20)**: it had been on `matrixdotorg/synapse:latest`, an **abandoned Docker Hub repo** whose `:latest` froze at 1.148.0 (image built 2026-02-24) — a moving tag that silently stopped moving on a publicly-exposed homeserver. Now pinned to `ghcr.io/element-hq/synapse:v1.159.0` (note the **`v` prefix** — `:1.159.0` without it 404s). Upgrade was clean: schema 93 -> 94, all background updates finished in ~5s, 0 errors, 19 users / 93,884 events intact, memory 112MB/1G. None of the v1.149-v1.159 breaking changes applied to us (MSC3861 removal — unused; `quarantined_media_changes` stream writer — workers only; the rest are Debian/Ubuntu packaging). Pre-upgrade backup: `/var/lib/synapse.bak-20260820-pre1159` (646MB) — delete once you're satisfied. **Pinned on purpose: bump it manually and deliberately, since the last moving tag rotted for 6 months unnoticed.** **2026-10-26: bumped v1.159.0 -> v1.163.2** (schema 94 deltas applied in <1s; config contains none of the options affected by the 1.160-1.163 upgrade notes). pg_dump backups taken first: `/var/lib/upgrade-backups-20261026/{synapse-db,mas-db}.dump` on .192. MAS bumped 1.23.0 -> **1.27.1** at the same time.
+26. **`SYNAPSE_SERVER_NAME` in the matrix compose disagrees with homeserver.yaml**: compose passes `SYNAPSE_SERVER_NAME=mess.hobbs.farm` but the real `server_name` is **`hobbs.farm`** (user IDs are `@user:hobbs.farm`). The env var is only read when the image *generates* a config, so it's inert today — but if `homeserver.yaml` ever went missing, the container would generate a fresh config with the wrong `server_name` AND a new signing key, which would break federation and every existing user ID. Left as-is (changing it has no effect while the config exists); just never let the container auto-generate..
+
+27. **Matrix auth is delegated to MAS -- Synapse does NOT serve /login any more (2026-08-20)**: with `matrix_authentication_service.enabled: true`, Synapse answers `M_UNRECOGNIZED` on `/_matrix/client/*/login`. The **reverse proxy must route the three compat paths to MAS or nobody can sign in**: `login`, `logout`, `refresh` (verified: MAS returns 200/405 on those and 404 on `register`/`whoami`, which stay on Synapse). Implemented as the `mess-auth-compat` router in `/mnt/docker-data/traefik/dynamic/temp-routes.yml` with explicit `priority: 1000` so it beats the catch-all `mess` router. **Anything that talks to `192.168.86.192:8008` directly bypasses Traefik and therefore cannot log in with a password** -- token-based bots (spirit, frigate, alertbot) are unaffected because they never call /login, but `@clippyauto` (n8n) and `@pluto` historically re-login with a password (17 and 15 accumulated devices). They currently run on migrated tokens; if either ever needs a fresh password login, point it at `https://mess.hobbs.farm` instead of `:8008`.
+28. **MAS image tags are NOT `v`-prefixed** -- `ghcr.io/element-hq/matrix-authentication-service:1.23.0` is correct, `:v1.23.0` does not exist. This is the **opposite** of Synapse (`ghcr.io/element-hq/synapse:v1.159.0`, where `:1.159.0` 404s). The MAS image is also **distroless** -- no shell, so a container healthcheck is impossible; liveness comes from the blackbox probe of `http://192.168.86.192:8021/health`. Note `/health` lives on the internal listener only: `https://auth.hobbs.farm/health` returns 404 by design, so the public probe targets `/.well-known/openid-configuration`.
+29. **MAS config holds unrecoverable signing keys**: `/mnt/docker-data/configs/mas/config.yaml` (mode 640) contains the RSA/EC signing keys and the `matrix.secret` shared with Synapse. Regenerating them invalidates every session. It is **not yet backed up to Vaultwarden** because the vault master password is currently unknown (see memory `vault-master-password-stale`) -- resolve that and store it. Also note `http.issuer`/`public_base` (`https://auth.hobbs.farm/`) are baked into session state; changing the hostname later invalidates sessions.
+
+30. **OpenClaw agent images were built from `openclaw@latest` and rotted for months (fixed 2026-08-20)**: margaret and spirit sat on **2026.5.27** while upstream was on **2026.7.1-2** — same failure mode as the abandoned `matrixdotorg/synapse:latest` (Known Issue #25). Worse, **the Dockerfiles existed nowhere** — not in the repo, not on any node — and had to be reconstructed from `docker history` layer output. They now live at `compose/hf-pdocker-01/ai-agents/{margaret,spirit}/Dockerfile` (staged on the NAS at `/mnt/docker-data/compose/hf-pdocker-01/ai-agents/`) with `ARG OPENCLAW_VERSION` **pinned**; bump it deliberately. Rebuild: `cd /mnt/docker-data/compose/hf-pdocker-01/ai-agents && docker build -t margaret-openclaw:<ver> -t margaret-openclaw:latest ./margaret` (same for `./spirit` → `spirit-ops`). npm dist-tags to check: `latest`, `extended-stable`, `beta`. **Upgrading migrates the state dir one-way** (JSON sidecars → shared SQLite; originals archived as `*.migrated` under `/mnt/infrastructure/{margaret,spirit}/`), so a rollback to `*:rollback-2026.5.27` also needs those `.migrated` files restored. Config backups: `/mnt/infrastructure/{margaret,spirit}/openclaw.json.bak-20260820-preupgrade`.
+31. **`192.168.86.27` is dead and several configs still point at it (2026-08-20)**: spirit's *primary* model was `vllm-local/qwen` at `192.168.86.27:8001`, so **every** message burned ~12s timing out before failing over to Anthropic (2,913 consecutive primary-model failures). margaret had the same host as a `vllm-local/hermes` provider. Both `vllm-local` provider blocks were deleted; both agents are now `anthropic/claude-sonnet-4-6` primary with `google/gemini-2.5-flash` fallback. `voicecoach-openclaw` **still** points at `192.168.86.27:11434` with no fallbacks. **There is no host at .27** — grep any new agent config for it. Related: margaret listed `google/gemini-2.5-flash` as a fallback while defining **no** google provider or auth profile, so it could never have fired; a google provider block (api `google-generative-ai`, key verified against the live models list) was added to match spirit's working shape.
+32. **CORRECTED 2026-08-21 — there are TWO ollama instances on .150, which is why the model lists disagreed**: a **native Windows** `ollama.exe` (v0.32.15) on `192.168.86.150:11434` holding only `gemma4` + the new `qwen3.8*`, and one **inside WSL** (v0.15.5, systemd, autostart) relayed to `127.0.0.1:11434`, holding `qwen2.5:14b`, `Hermes-4.3-36B-GGUF`, `qwen3.6`, `qwen3-coder:30b`, `gpt-oss:20b`, `llama3.1`. So the older docs were **right** — those models exist, just in the WSL instance. An earlier note here claiming "only gemma4" was measuring the native one alone. **`host.docker.internal:11434` from a Docker Desktop container hits the WSL instance; the LAN IP hits the native one.** Both share the single 3090, so either can starve the other. spirit's `ollama` provider still advertises a nonexistent `qwen3.5` (harmless, not in its chain). **LinkedStorm on .192 points at `192.168.86.150:11434` for `qwen2.5:14b` — that model is NOT on the native instance, so LinkedStorm's LLM calls are probably 404ing. Still unverified.**
+
+33. **Docker Desktop on .150 died twice while loading a large model (2026-08-21)**: the WSL2 VM had **no `.wslconfig`**, so it defaulted to 50% of host RAM = **15GB** shared by the Ubuntu distro, the docker-desktop VM and podman-uosserver. Loading llama.cpp's 16.8GB GGUF alongside the running containers **OOM-killed hermes and friday-voice (exit 137)**, and on the first attempt took the whole Docker Desktop backend down — it went `unable to start` -> HTTP 500 on every API call -> engine pipe missing entirely. **Recovery that worked:** kill all `Docker Desktop`/`com.docker` processes, `wsl --terminate docker-desktop`, then start Docker Desktop **before** UniFi OS Server (the pipe-conflict rule in issue #13 still applies — UniFi went down in the crash and had to be restarted after). Mitigation applied: `C:\Users\Jeremy\.wslconfig` now sets `memory=22GB`, `swap=8GB` — **this needs `wsl --shutdown` or a reboot to take effect, and `wsl --shutdown` kills the Claude Code session too**, so it has NOT been applied yet. Until it is, expect OOM churn when a big model loads.
+
+34. **Onyx self-registration was open to the internet (fixed 2026-09-21)**: `onyx.hobbs.farm` is publicly reachable and Onyx runs `AUTH_TYPE=basic` with **no** `REQUIRE_EMAIL_VERIFICATION` and **no** `VALID_EMAIL_DOMAINS` — so `POST /api/auth/register` let anyone on the internet create an account. External scanners were already probing the host (a DigitalOcean IP hit `/` on 2026-09-21). No abuse had occurred: only 2 accounts existed (`glyptic@gmail.com` + Onyx's internal `anonymous@onyx.app`). **Fix: a Traefik router `onyx-register-lockdown` (`priority: 1000`, beats the catch-all `onyx` router) matching `PathPrefix(/api/auth/register)` behind an `ipAllowList` middleware limited to `192.168.86.0/24` + `127.0.0.1/32`.** Verified by temporarily narrowing the range: register returned **403** from a non-allowlisted source while `/api/auth/login` (405) and `/` (200) were unaffected; range then restored. Config `/mnt/docker-data/traefik/dynamic/onyx.yml` (backup `.bak-20260920-195851`). **To add a user: register from the LAN, or widen the `sourceRange`.** Note `VALID_EMAIL_DOMAINS` was rejected as the control because it is domain-level only — `gmail.com` would admit any Gmail user. Same class as Known Issue #23 (open Matrix registration).
+35. **The live Prometheus config is `/mnt/docker-data/configs/prometheus/prometheus.yml` — the copy at `compose/hf-pdocker-01/monitoring/prometheus.yml` is STALE and misleading (2026-09-21)**: the compose-dir copy still lists decommissioned targets, including Onyx at the wrong node (`192.168.86.167:3005`, bart) and OpenVAS (`:9392`). Neither is in the live config, so neither was ever probed — grepping the compose copy to answer "is X monitored?" gives the wrong answer. Onyx had **no probe at all** until one was added to the live file on 2026-09-21 (`http://192.168.86.192:3005`, now `probe_success=1`). Backup `prometheus.yml.bak-20260920-*`. The live file is also the better changelog: it records the voicecoach (2026-08-24) and FRIDAY Voice / speaches (2026-08-26) teardowns that CLAUDE.md still described as live.
+36. **SSH key auth to hf-pdocker-01 is broken — password only (2026-09-21)**: all of `~/.ssh/id_docker_server`, `id_bart`, `id_nas` are rejected by `192.168.86.192` (`Permission denied (publickey,password)`), while `id_docker_server` still works for `.100` and `id_bart` for bart. Connect with `sshpass -p '&Rip8a115' ssh -o PubkeyAuthentication=no glyptic@192.168.86.192`. **Any key-based automation targeting .192 is silently failing** — check `~/.ssh/authorized_keys` on that node (likely lost when the host was rebuilt/restored).
+37. **hf-pdocker-01 hard-hung for ~27h (2026-10-09 13:55 → 2026-10-10 17:08 CDT)**: journal simply stops at 13:55 with no OOM, kernel error, or shutdown record; `sar` at 13:50 showed a healthy box (62% mem, 23% swap, load ~4), and .100/bart stayed up (9d uptime), so it was neither memory exhaustion nor a house-wide power event. Came back on kernel 7.0.0-38 (was -34) after a power cycle. Cause unknown — if it recurs, suspect hardware (this box was repaired 2026-03) and consider enabling persistent `kdump`/`netconsole`. Side effects found on 2026-10-10: `onyx-opensearch-1` revived itself (fixed, see Onyx entry). Also fixed then: `ServiceHighMemory` used `container_memory_usage_bytes`, which counts reclaimable page cache, so clip-service false-alarmed at 94% while really at 64% — rule now uses `container_memory_working_set_bytes` (backup `alerts.yml.bak-20261010-workingset`).
+38. **bart shows ~20 nameless `Dead` containers in `docker ps -a`** — orphaned `/var/lib/docker/containers/<id>` dirs for containers whose images Watchtower already deleted. `docker rm` says "No such container". Harmless clutter; clearing them requires stopping dockerd (moving the dirs aside) which restarts the whole media stack, so it was left for a maintenance window.
+39. **[RESOLVED 2026-10-11] Static-IP ESPHome boards were invisible behind UniFi Proxy ARP (found 2026-10-10)**: the `ASUS_F0_2G` WLAN has **Proxy ARP on** (`proxy_arp=1` in every AP's `/etc/hostapd/wifi0ap0.cfg`; it also has `ap_isolate=1` and `mcast.enhance=1`). With Proxy ARP, the AP answers ARP for wireless clients **from a table it learns by snooping DHCP** and stops passing ARP broadcasts through to them. Boards with ESPHome `manual_ip` never DHCP, so after any reconnect nobody answers ARP for them: they associate fine and even announce themselves over mDNS, but are unreachable. **Pool Value Controls (.6, MAC `a4:cf:12:f1:6e:c8`) went dark 2026-10-09 11:04** at a Wi-Fi reconnect on AP .187 and then looped every 15 min on ESPHome's API `reboot_timeout`. Diagnosed by capture on .187: ARP who-has .6 reached the radio and got no reply, while a static neighbor entry made ping and API work at once. **Workaround (live):** systemd unit `static-arp-esphome.service` on .192 pins `.6 -> a4:cf:12:f1:6e:c8 nud permanent` on `enp0s31f6` (HA and ESPHome are bridge-networked on .192, so they use the host's neighbor table). **Real fix (pending, needs controller access on .150):** turn Proxy ARP off on the `ASUS_F0_2G` WLAN, OR switch the boards to DHCP + Firewalla reservations. Once Proxy ARP is off, `systemctl disable --now static-arp-esphome` on .192. A `power_save_mode: none` change was also OTA'd to the board (backup `pool-value-controls.yaml.bak-20261010-powersave`). It did NOT fix this, but it's harmless and was left in. **Any other static-IP Wi-Fi device on that SSID has the same problem.** **RESOLVED 2026-10-11:** Proxy ARP (and `ap_isolate`) were turned off on `ASUS_F0_2G` in the controller (pushed to all APs 11:09–11:18; the `proxy_arp`/`ap_isolate` lines are gone from every AP's hostapd config). `static-arp-esphome.service` was then disabled and deleted on .192. Verified afterwards: .6 resolves by normal ARP (neighbor `REACHABLE`, not `PERMANENT`), ping OK, HA API session established. If a static-IP Wi-Fi device goes dark again, check that Proxy ARP hasn't been switched back on. polelightpond (.14) and living_room_lights (.153) were still unreachable after the fix, so they have some other problem (unpowered or offline).
+
+40. **Container version audit + upgrade round (2026-10-26)**. Upgraded: Synapse v1.163.2, MAS 1.27.1, Traefik v3.7 (3.7.16), node-exporter v1.12.1 (all 3 nodes), cadvisor v0.60.6, matrix-alertmanager-receiver 2026.9.23, Gitea 1.26.4 (patch only; pg_dump at `~/gitea-db-20261026-pre1264.dump` on .100), Jellyfin 12.3, Seerr v3.5.1, plus re-pulls of every moving tag on .192 (HA 2026.10.4, ESPHome, Mosquitto, Prometheus, Blackbox, Telegraf, nginx, litellm, and the postgres/mysql/redis patch images). Every compose file touched has a `.bak-20261026` next to it on the NAS. **Deliberately NOT done, each needs its own decision:** Onyx `:latest` now = **v5.0.0 (major, released 2026-10-24)**, still on v4.9.2 (no Watchtower on .192, so it only moves on a manual pull); Gitea 1.27.x / **28.x** (major jumps); OpenClaw 2026.7.1-2 -> 2026.10.7 (one-way state migration, see #30); hermes v2026.8.18 -> v0.22.5 (upstream switched to semver tags, and its LLM endpoint is dead anyway); **MySQL 8.0 (guacamole-db, semaphore-db) went EOL April 2026 -> needs an 8.4 LTS migration with a dump/restore**; InfluxDB 1.8 (EOL); Onyx's `postgres:15.2-alpine` (2023 patch level, managed by Onyx's compose); `awesometechnologies/synapse-admin` (stale, maintained fork is `etkecc/synapse-admin`). How to audit: compare each container's `RepoDigests` against registry HEAD digests -- for Docker Hub use the hub.docker.com web API (`/v2/namespaces/<ns>/repositories/<repo>/tags/<tag>` -> `digest`), which does not count against pull limits. `docker buildx imagetools inspect --format` is ignored by the nodes' buildx v0.31.1.
+41. **Docker Hub anonymous pull limit is shared by the whole house** (public IP 98.160.103.126, 100 pulls/hour): on 2026-10-26 every node AND WSL got 429 `toomanyrequests`, meaning Watchtower updates of Docker Hub images were silently failing. Mitigation applied: both Watchtowers moved from a 24h poll interval to a **twice-daily cron schedule** (04:00/16:00), and the archived `containrrr/watchtower` swapped for the maintained drop-in fork `nickfedor/watchtower` (**image name is `nickfedor/`, not `nicholas-fedor/`** -- the latter is the GitHub org and 404s on Hub). Same env vars and still honors `com.centurylinklabs.watchtower.enable`. A `docker login` on the nodes would raise the limit further. **cadvisor no longer publishes to gcr.io** after v0.55 -- the image is now `ghcr.io/google/cadvisor`.
+42. **node-exporter had been launched from `/tmp` (compose project `tmp`) on all 3 nodes**, so `docker compose` in the real dirs didn't own it. Fixed 2026-10-26: removed and redeployed from `/mnt/docker-data/compose/<node>/node-exporter/`. Separately, the **monitoring** compose on .192 still defines a legacy `node-exporter:latest` service on :9100 that a bare `docker compose up -d` would try to start; it is now gated behind `profiles: ["legacy-node-exporter"]`. Also: the matrix-alertmanager-receiver container is now named `monitoring-matrix-alertmanager-receiver-1` (compose default) -- Alertmanager reaches it by service name `matrix-alertmanager-receiver`, which still resolves.
+43. **Farm Manager showed ZERO containers for hf-pdocker-01 (fixed 2026-10-26)**: the server fetches each agent's `/containers` with a timeout and on any error silently returns `[]` for that node. .192's agent took ~12s (47 containers, per-container `stats(stream=False)` = Docker samples twice ~1s apart, only 10 workers) vs a 10s timeout, so the main host's containers simply vanished from the dashboard while `/api/nodes` still said "healthy, 47". Fix: agent uses `stats(..., one_shot=True)` + 20 workers (now ~2s), server timeout 30s. Agent rebuilt on .192 and shipped to .100/bart via `docker save | docker load` (only .192 has the `/opt/farm-manager` source); rollback tags `farm-agent:rollback-20261026` / `farm-manager:rollback-20261026`. Same day: removed a dead `gpu-workstation` node (192.168.86.27) from the live `config.json`, made `/health` ignore Dead containers (bart reported 30 instead of 10), and rebuilt `groups.json` -- every group still used Swarm-era / decommissioned names (`ai-agents_margaret`, `jellyseerr`, `adguardhome`, bart Onyx, `openvas`, `unifi`...), so all group actions were no-ops. Now 14 groups / 63 containers; per-node utilities (farm-agent, node-exporter, telegraf, watchtower) are deliberately ungrouped so a group "stop" can't kill the agents. **4 tests in `tests/test_agent_docker_ops.py` fail -- pre-existing** (they mock `containers.list` but the code uses low-level `api.containers`); not caused by this change.

Rongorongo/RONGORONGO_DEPLOY.md

@@ -0,0 +1,322 @@
+# RONGORONGO_DEPLOY.md
+# Rongorongo Decipherment Engine — Claude Code Deployment Guide
+# Target: hobbs.farm Docker Swarm infrastructure
+# Subdomain: rongorongo.hobbs.farm
+
+---
+
+## CONTEXT
+
+This document instructs Claude Code to build, push, and deploy the Rongorongo
+Decipherment Engine as a containerized static web app to the hobbs.farm Swarm.
+
+The app is a single-file HTML/JS application served by nginx. It calls the
+Anthropic API directly from the browser. No backend, no database. All session
+state is stored in browser localStorage.
+
+Infrastructure assumptions (from existing hobbs.farm stack):
+- Docker Swarm: nodes hf-pdocker-01, hf-pdocker-02, bart
+- Traefik reverse proxy with wildcard *.hobbs.farm TLS via Cloudflare DNS
+- External overlay network: traefik-public
+- Registry: registry.hobbs.farm (if local) OR use Docker Hub as fallback
+- Portainer CE available for stack management
+- DNS: AdGuard Home with hairpin NAT for *.hobbs.farm
+
+---
+
+## REPOSITORY STRUCTURE
+
+After cloning or creating the project, verify this structure exists:
+
+```
+rongorongo/
+├── Dockerfile
+├── nginx.conf
+├── stack.yml
+├── frontend/
+│   └── index.html
+└── RONGORONGO_DEPLOY.md  (this file)
+```
+
+---
+
+## STEP 1 — VERIFY PREREQUISITES
+
+Run these checks before proceeding. Stop and report any failures.
+
+```bash
+# Confirm Docker and Swarm context
+docker info | grep -E "Swarm:|Manager:|Nodes:"
+
+# Confirm traefik-public network exists
+docker network ls | grep traefik-public
+
+# Confirm Traefik is running
+docker service ls | grep traefik
+
+# Test registry connectivity (if using local registry)
+curl -s https://registry.hobbs.farm/v2/_catalog || echo "Registry unreachable — will use build-and-load method"
+
+# Confirm you are on a Swarm manager node
+docker node ls
+```
+
+If registry.hobbs.farm is unreachable, use the ALTERNATIVE DEPLOYMENT method
+at the bottom of this document.
+
+---
+
+## STEP 2 — BUILD THE IMAGE
+
+```bash
+cd rongorongo/
+
+# Build image
+docker build -t registry.hobbs.farm/rongorongo:latest .
+
+# Verify image was created
+docker images | grep rongorongo
+```
+
+Expected output: image tagged `registry.hobbs.farm/rongorongo:latest`, size
+should be ~25–40MB (nginx:alpine base + small HTML file).
+
+---
+
+## STEP 3 — PUSH TO REGISTRY
+
+```bash
+# If registry requires auth:
+docker login registry.hobbs.farm
+
+# Push
+docker push registry.hobbs.farm/rongorongo:latest
+```
+
+If the push fails due to registry issues, fall through to ALTERNATIVE DEPLOYMENT.
+
+---
+
+## STEP 4 — DEPLOY STACK
+
+```bash
+# Deploy or update the stack
+docker stack deploy -c stack.yml rongorongo --with-registry-auth
+
+# Watch rollout
+docker service ps rongorongo_rongorongo --no-trunc
+```
+
+Wait for the service to show `Running` status. This typically takes 15–30 seconds.
+
+```bash
+# Confirm healthy
+docker service ls | grep rongorongo
+curl -s http://localhost/health  # or via container exec
+```
+
+---
+
+## STEP 5 — DNS VERIFICATION
+
+The stack.yml assumes `rongorongo.hobbs.farm` resolves to the Traefik entrypoint.
+
+```bash
+# Check AdGuard Home has the record (or wildcard covers it)
+nslookup rongorongo.hobbs.farm
+
+# Test internal access
+curl -sk https://rongorongo.hobbs.farm/health
+```
+
+If using AdGuard Home for internal DNS and the wildcard *.hobbs.farm is already
+configured for hairpin NAT, no additional DNS entry is needed.
+
+---
+
+## STEP 6 — SMOKE TEST
+
+Open https://rongorongo.hobbs.farm in a browser and verify:
+1. App loads with "Rongorongo · Decipherment Engine" title
+2. Sidebar navigation works (Image Corpus, Glyph Catalog, etc.)
+3. Enter an Anthropic API key in the sidebar footer input
+4. Upload a test image to the corpus
+5. Navigate to Pattern Analyzer and run an analysis
+6. Confirm AI response appears in the result box
+
+---
+
+## UPDATING THE APP
+
+When index.html is modified:
+
+```bash
+cd rongorongo/
+
+# Rebuild
+docker build -t registry.hobbs.farm/rongorongo:latest .
+
+# Push
+docker push registry.hobbs.farm/rongorongo:latest
+
+# Force service update (pull new image)
+docker service update --image registry.hobbs.farm/rongorongo:latest --force rongorongo_rongorongo
+
+# Watch update
+docker service ps rongorongo_rongorongo
+```
+
+---
+
+## ROLLBACK
+
+If something breaks after an update:
+
+```bash
+docker service rollback rongorongo_rongorongo
+docker service ps rongorongo_rongorongo
+```
+
+---
+
+## TEARDOWN
+
+To remove the service without destroying data (there is no persistent volume):
+
+```bash
+docker stack rm rongorongo
+```
+
+---
+
+## ALTERNATIVE DEPLOYMENT (no registry)
+
+Use this if registry.hobbs.farm is unavailable. This method builds the image
+directly on the Swarm manager and uses `docker service create` instead of
+`stack deploy`.
+
+```bash
+# On the Swarm manager node:
+cd rongorongo/
+
+# Build locally
+docker build -t rongorongo:latest .
+
+# Create service manually (adjust Traefik labels as needed)
+docker service create \
+  --name rongorongo_rongorongo \
+  --network traefik-public \
+  --label "traefik.enable=true" \
+  --label "traefik.docker.network=traefik-public" \
+  --label "traefik.http.routers.rongorongo.rule=Host(\`rongorongo.hobbs.farm\`)" \
+  --label "traefik.http.routers.rongorongo.entrypoints=websecure" \
+  --label "traefik.http.routers.rongorongo.tls=true" \
+  --label "traefik.http.routers.rongorongo.tls.certresolver=cloudflare" \
+  --label "traefik.http.services.rongorongo.loadbalancer.server.port=80" \
+  --replicas 1 \
+  --restart-condition on-failure \
+  rongorongo:latest
+
+# Monitor
+docker service ps rongorongo_rongorongo
+```
+
+NOTE: With this method, to update you must rebuild locally and run:
+```bash
+docker service update --image rongorongo:latest --force rongorongo_rongorongo
+```
+
+This only works if your current node is the one running the replica. If you
+have a multi-node swarm, you should set up the registry to avoid placement issues.
+
+---
+
+## PORTAINER DEPLOYMENT (optional GUI method)
+
+If you prefer Portainer CE:
+
+1. Navigate to https://portainer.hobbs.farm (or your Portainer URL)
+2. Select the Swarm endpoint
+3. Go to Stacks → Add Stack
+4. Name: `rongorongo`
+5. Paste the contents of stack.yml into the web editor
+6. Set `registry.hobbs.farm/rongorongo:latest` as the image
+   (you still need to build and push first)
+7. Click Deploy the stack
+
+---
+
+## ENVIRONMENT NOTES
+
+The app does NOT use environment variables or Docker secrets. The Anthropic API
+key is entered by the user at runtime and stored in their browser's localStorage.
+This is intentional — the app is designed to be used by a single user (Jeremy)
+and no server-side key storage is needed or appropriate.
+
+If you want to pre-populate the API key for convenience (only if the deployment
+is strictly private/internal), you can inject it at build time by modifying
+frontend/index.html before building:
+
+Find this line:
+```javascript
+function getApiKey() {
+  return document.getElementById('apiKeyInput').value.trim()
+```
+
+And prepend a hardcoded fallback (NOT recommended for any externally accessible URL).
+
+---
+
+## TRAEFIK ENTRYPOINT NAMES
+
+The stack.yml assumes:
+- HTTP entrypoint name: `web`
+- HTTPS entrypoint name: `websecure`
+- Cert resolver name: `cloudflare`
+
+These match the standard hobbs.farm Traefik configuration. If your Traefik uses
+different names, edit the labels in stack.yml before deploying.
+
+---
+
+## TROUBLESHOOTING
+
+**Service won't start:**
+```bash
+docker service ps rongorongo_rongorongo --no-trunc
+docker inspect $(docker ps -q --filter name=rongorongo) 2>/dev/null | grep -A5 '"State"'
+```
+
+**Traefik not routing:**
+```bash
+# Check Traefik logs for rongorongo
+docker service logs traefik_traefik 2>&1 | grep -i rongorongo | tail -20
+# Confirm labels are applied
+docker service inspect rongorongo_rongorongo | grep -A2 Labels
+```
+
+**TLS cert not issuing:**
+```bash
+# Wildcard cert should already cover rongorongo.hobbs.farm
+# If not, check Cloudflare DNS API token has Zone:Read and DNS:Edit
+docker service logs traefik_traefik 2>&1 | grep -i "acme\|certificate\|cloudflare" | tail -20
+```
+
+**API calls blocked (CORS/CSP):**
+The nginx.conf includes a Content-Security-Policy header that allows
+`connect-src https://api.anthropic.com`. If you see CORS errors in the browser
+console, verify the CSP header is present:
+```bash
+curl -I https://rongorongo.hobbs.farm/ | grep -i content-security
+```
+
+**App loads but AI calls fail:**
+- Check API key is entered correctly in the sidebar
+- Anthropic API key must start with `sk-ant-`
+- Confirm outbound HTTPS to api.anthropic.com is not blocked by firewall rules
+- The app sends `anthropic-dangerous-direct-browser-access: true` header which
+  is required for direct browser API access
+
+---
+
+## END OF DEPLOYMENT GUIDE

Rongorongo/_extracted/rongorongo/Dockerfile

@@ -0,0 +1,18 @@
+FROM nginx:1.25-alpine
+
+# Remove default nginx static content
+RUN rm -rf /usr/share/nginx/html/*
+
+# Copy app
+COPY frontend/index.html /usr/share/nginx/html/index.html
+
+# Copy nginx config
+COPY nginx.conf /etc/nginx/conf.d/default.conf
+
+# Healthcheck
+HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
+  CMD wget -qO- http://localhost/health || exit 1
+
+EXPOSE 80
+
+CMD ["nginx", "-g", "daemon off;"]

Rongorongo/_extracted/rongorongo/deploy/RONGORONGO_DEPLOY.md

@@ -0,0 +1,322 @@
+# RONGORONGO_DEPLOY.md
+# Rongorongo Decipherment Engine — Claude Code Deployment Guide
+# Target: hobbs.farm Docker Swarm infrastructure
+# Subdomain: rongorongo.hobbs.farm
+
+---
+
+## CONTEXT
+
+This document instructs Claude Code to build, push, and deploy the Rongorongo
+Decipherment Engine as a containerized static web app to the hobbs.farm Swarm.
+
+The app is a single-file HTML/JS application served by nginx. It calls the
+Anthropic API directly from the browser. No backend, no database. All session
+state is stored in browser localStorage.
+
+Infrastructure assumptions (from existing hobbs.farm stack):
+- Docker Swarm: nodes hf-pdocker-01, hf-pdocker-02, bart
+- Traefik reverse proxy with wildcard *.hobbs.farm TLS via Cloudflare DNS
+- External overlay network: traefik-public
+- Registry: registry.hobbs.farm (if local) OR use Docker Hub as fallback
+- Portainer CE available for stack management
+- DNS: AdGuard Home with hairpin NAT for *.hobbs.farm
+
+---
+
+## REPOSITORY STRUCTURE
+
+After cloning or creating the project, verify this structure exists:
+
+```
+rongorongo/
+├── Dockerfile
+├── nginx.conf
+├── stack.yml
+├── frontend/
+│   └── index.html
+└── RONGORONGO_DEPLOY.md  (this file)
+```
+
+---
+
+## STEP 1 — VERIFY PREREQUISITES
+
+Run these checks before proceeding. Stop and report any failures.
+
+```bash
+# Confirm Docker and Swarm context
+docker info | grep -E "Swarm:|Manager:|Nodes:"
+
+# Confirm traefik-public network exists
+docker network ls | grep traefik-public
+
+# Confirm Traefik is running
+docker service ls | grep traefik
+
+# Test registry connectivity (if using local registry)
+curl -s https://registry.hobbs.farm/v2/_catalog || echo "Registry unreachable — will use build-and-load method"
+
+# Confirm you are on a Swarm manager node
+docker node ls
+```
+
+If registry.hobbs.farm is unreachable, use the ALTERNATIVE DEPLOYMENT method
+at the bottom of this document.
+
+---
+
+## STEP 2 — BUILD THE IMAGE
+
+```bash
+cd rongorongo/
+
+# Build image
+docker build -t registry.hobbs.farm/rongorongo:latest .
+
+# Verify image was created
+docker images | grep rongorongo
+```
+
+Expected output: image tagged `registry.hobbs.farm/rongorongo:latest`, size
+should be ~25–40MB (nginx:alpine base + small HTML file).
+
+---
+
+## STEP 3 — PUSH TO REGISTRY
+
+```bash
+# If registry requires auth:
+docker login registry.hobbs.farm
+
+# Push
+docker push registry.hobbs.farm/rongorongo:latest
+```
+
+If the push fails due to registry issues, fall through to ALTERNATIVE DEPLOYMENT.
+
+---
+
+## STEP 4 — DEPLOY STACK
+
+```bash
+# Deploy or update the stack
+docker stack deploy -c stack.yml rongorongo --with-registry-auth
+
+# Watch rollout
+docker service ps rongorongo_rongorongo --no-trunc
+```
+
+Wait for the service to show `Running` status. This typically takes 15–30 seconds.
+
+```bash
+# Confirm healthy
+docker service ls | grep rongorongo
+curl -s http://localhost/health  # or via container exec
+```
+
+---
+
+## STEP 5 — DNS VERIFICATION
+
+The stack.yml assumes `rongorongo.hobbs.farm` resolves to the Traefik entrypoint.
+
+```bash
+# Check AdGuard Home has the record (or wildcard covers it)
+nslookup rongorongo.hobbs.farm
+
+# Test internal access
+curl -sk https://rongorongo.hobbs.farm/health
+```
+
+If using AdGuard Home for internal DNS and the wildcard *.hobbs.farm is already
+configured for hairpin NAT, no additional DNS entry is needed.
+
+---
+
+## STEP 6 — SMOKE TEST
+
+Open https://rongorongo.hobbs.farm in a browser and verify:
+1. App loads with "Rongorongo · Decipherment Engine" title
+2. Sidebar navigation works (Image Corpus, Glyph Catalog, etc.)
+3. Enter an Anthropic API key in the sidebar footer input
+4. Upload a test image to the corpus
+5. Navigate to Pattern Analyzer and run an analysis
+6. Confirm AI response appears in the result box
+
+---
+
+## UPDATING THE APP
+
+When index.html is modified:
+
+```bash
+cd rongorongo/
+
+# Rebuild
+docker build -t registry.hobbs.farm/rongorongo:latest .
+
+# Push
+docker push registry.hobbs.farm/rongorongo:latest
+
+# Force service update (pull new image)
+docker service update --image registry.hobbs.farm/rongorongo:latest --force rongorongo_rongorongo
+
+# Watch update
+docker service ps rongorongo_rongorongo
+```
+
+---
+
+## ROLLBACK
+
+If something breaks after an update:
+
+```bash
+docker service rollback rongorongo_rongorongo
+docker service ps rongorongo_rongorongo
+```
+
+---
+
+## TEARDOWN
+
+To remove the service without destroying data (there is no persistent volume):
+
+```bash
+docker stack rm rongorongo
+```
+
+---
+
+## ALTERNATIVE DEPLOYMENT (no registry)
+
+Use this if registry.hobbs.farm is unavailable. This method builds the image
+directly on the Swarm manager and uses `docker service create` instead of
+`stack deploy`.
+
+```bash
+# On the Swarm manager node:
+cd rongorongo/
+
+# Build locally
+docker build -t rongorongo:latest .
+
+# Create service manually (adjust Traefik labels as needed)
+docker service create \
+  --name rongorongo_rongorongo \
+  --network traefik-public \
+  --label "traefik.enable=true" \
+  --label "traefik.docker.network=traefik-public" \
+  --label "traefik.http.routers.rongorongo.rule=Host(\`rongorongo.hobbs.farm\`)" \
+  --label "traefik.http.routers.rongorongo.entrypoints=websecure" \
+  --label "traefik.http.routers.rongorongo.tls=true" \
+  --label "traefik.http.routers.rongorongo.tls.certresolver=cloudflare" \
+  --label "traefik.http.services.rongorongo.loadbalancer.server.port=80" \
+  --replicas 1 \
+  --restart-condition on-failure \
+  rongorongo:latest
+
+# Monitor
+docker service ps rongorongo_rongorongo
+```
+
+NOTE: With this method, to update you must rebuild locally and run:
+```bash
+docker service update --image rongorongo:latest --force rongorongo_rongorongo
+```
+
+This only works if your current node is the one running the replica. If you
+have a multi-node swarm, you should set up the registry to avoid placement issues.
+
+---
+
+## PORTAINER DEPLOYMENT (optional GUI method)
+
+If you prefer Portainer CE:
+
+1. Navigate to https://portainer.hobbs.farm (or your Portainer URL)
+2. Select the Swarm endpoint
+3. Go to Stacks → Add Stack
+4. Name: `rongorongo`
+5. Paste the contents of stack.yml into the web editor
+6. Set `registry.hobbs.farm/rongorongo:latest` as the image
+   (you still need to build and push first)
+7. Click Deploy the stack
+
+---
+
+## ENVIRONMENT NOTES
+
+The app does NOT use environment variables or Docker secrets. The Anthropic API
+key is entered by the user at runtime and stored in their browser's localStorage.
+This is intentional — the app is designed to be used by a single user (Jeremy)
+and no server-side key storage is needed or appropriate.
+
+If you want to pre-populate the API key for convenience (only if the deployment
+is strictly private/internal), you can inject it at build time by modifying
+frontend/index.html before building:
+
+Find this line:
+```javascript
+function getApiKey() {
+  return document.getElementById('apiKeyInput').value.trim()
+```
+
+And prepend a hardcoded fallback (NOT recommended for any externally accessible URL).
+
+---
+
+## TRAEFIK ENTRYPOINT NAMES
+
+The stack.yml assumes:
+- HTTP entrypoint name: `web`
+- HTTPS entrypoint name: `websecure`
+- Cert resolver name: `cloudflare`
+
+These match the standard hobbs.farm Traefik configuration. If your Traefik uses
+different names, edit the labels in stack.yml before deploying.
+
+---
+
+## TROUBLESHOOTING
+
+**Service won't start:**
+```bash
+docker service ps rongorongo_rongorongo --no-trunc
+docker inspect $(docker ps -q --filter name=rongorongo) 2>/dev/null | grep -A5 '"State"'
+```
+
+**Traefik not routing:**
+```bash
+# Check Traefik logs for rongorongo
+docker service logs traefik_traefik 2>&1 | grep -i rongorongo | tail -20
+# Confirm labels are applied
+docker service inspect rongorongo_rongorongo | grep -A2 Labels
+```
+
+**TLS cert not issuing:**
+```bash
+# Wildcard cert should already cover rongorongo.hobbs.farm
+# If not, check Cloudflare DNS API token has Zone:Read and DNS:Edit
+docker service logs traefik_traefik 2>&1 | grep -i "acme\|certificate\|cloudflare" | tail -20
+```
+
+**API calls blocked (CORS/CSP):**
+The nginx.conf includes a Content-Security-Policy header that allows
+`connect-src https://api.anthropic.com`. If you see CORS errors in the browser
+console, verify the CSP header is present:
+```bash
+curl -I https://rongorongo.hobbs.farm/ | grep -i content-security
+```
+
+**App loads but AI calls fail:**
+- Check API key is entered correctly in the sidebar
+- Anthropic API key must start with `sk-ant-`
+- Confirm outbound HTTPS to api.anthropic.com is not blocked by firewall rules
+- The app sends `anthropic-dangerous-direct-browser-access: true` header which
+  is required for direct browser API access
+
+---
+
+## END OF DEPLOYMENT GUIDE

Rongorongo/_extracted/rongorongo/nginx.conf

@@ -0,0 +1,41 @@
+server {
+    listen 80;
+    server_name _;
+
+    root /usr/share/nginx/html;
+    index index.html;
+
+    # Security headers
+    add_header X-Frame-Options "SAMEORIGIN" always;
+    add_header X-Content-Type-Options "nosniff" always;
+    add_header X-XSS-Protection "1; mode=block" always;
+    add_header Referrer-Policy "strict-origin-when-cross-origin" always;
+
+    # CSP — allows Anthropic API calls and Google Fonts
+    add_header Content-Security-Policy "default-src 'self'; script-src 'self' 'unsafe-inline'; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' https://fonts.gstatic.com; img-src 'self' data: blob:; connect-src 'self' https://api.anthropic.com; worker-src blob:;" always;
+
+    # Gzip
+    gzip on;
+    gzip_types text/html text/css application/javascript;
+    gzip_min_length 1024;
+
+    # Health endpoint
+    location /health {
+        access_log off;
+        return 200 "ok\n";
+        add_header Content-Type text/plain;
+    }
+
+    # SPA fallback
+    location / {
+        try_files $uri $uri/ /index.html;
+        expires -1;
+        add_header Cache-Control "no-store, no-cache, must-revalidate";
+    }
+
+    # Cache static assets aggressively if you add any
+    location ~* \.(js|css|png|jpg|jpeg|gif|ico|woff2)$ {
+        expires 1y;
+        add_header Cache-Control "public, immutable";
+    }
+}

Rongorongo/_extracted/rongorongo/stack.yml

@@ -0,0 +1,48 @@
+version: "3.8"
+
+services:
+  rongorongo:
+    image: registry.hobbs.farm/rongorongo:latest
+    networks:
+      - traefik-public
+    deploy:
+      replicas: 1
+      restart_policy:
+        condition: on-failure
+        delay: 10s
+        max_attempts: 3
+      update_config:
+        parallelism: 1
+        delay: 10s
+        failure_action: rollback
+      labels:
+        - "traefik.enable=true"
+        - "traefik.docker.network=traefik-public"
+
+        # HTTP → HTTPS redirect
+        - "traefik.http.routers.rongorongo-http.rule=Host(`rongorongo.hobbs.farm`)"
+        - "traefik.http.routers.rongorongo-http.entrypoints=web"
+        - "traefik.http.routers.rongorongo-http.middlewares=redirect-to-https"
+
+        # HTTPS router
+        - "traefik.http.routers.rongorongo.rule=Host(`rongorongo.hobbs.farm`)"
+        - "traefik.http.routers.rongorongo.entrypoints=websecure"
+        - "traefik.http.routers.rongorongo.tls=true"
+        - "traefik.http.routers.rongorongo.tls.certresolver=cloudflare"
+
+        # Service
+        - "traefik.http.services.rongorongo.loadbalancer.server.port=80"
+
+        # Middlewares
+        - "traefik.http.routers.rongorongo.middlewares=rongorongo-headers"
+        - "traefik.http.middlewares.rongorongo-headers.headers.customResponseHeaders.X-Robots-Tag=noindex,nofollow"
+    healthcheck:
+      test: ["CMD", "wget", "-qO-", "http://localhost/health"]
+      interval: 30s
+      timeout: 5s
+      retries: 3
+      start_period: 10s
+
+networks:
+  traefik-public:
+    external: true

compose/bart/media/docker-compose.yml

@@ -1,16 +1,29 @@
 services:
   jellyfin:
-    image: jellyfin/jellyfin:2026060106
+    # Pinned to official stable 12.2. History: ran the 2026060106 unstable
+    # build from 2026-07-14 because the DB had been migrated to the v12 schema
+    # and 10.11.x could not read it. Stable 12 shipped 2026-09; moved to
+    # 12.2 on 2026-10-17, 12.3 on 2026-10-26. Never go back below 12.
+    image: jellyfin/jellyfin:12.3.20261023-013714
     container_name: jellyfin
     restart: unless-stopped
     environment:
       - PUID=1000
       - PGID=1000
+      - LIBVA_DRIVER_NAME=i965   # Haswell HD 4600 uses legacy i965 (iHD is Broadwell+)
     volumes:
-      - /mnt/docker-data/configs/jellyfin:/config
+      # LOCAL disk, not NFS: jellyfin.db (SQLite WAL) on NFS caused 60-100s
+      # "database is locked" stalls -> server lockups during playback
+      # (2026-07-19). Old copy left at /mnt/docker-data/configs/jellyfin.
+      - /var/lib/jellyfin:/config
       - /mnt/nas-media:/media
     ports:
       - "8096:8096"
+    devices:
+      - /dev/dri:/dev/dri        # Intel iGPU for VAAPI hardware transcoding
+    group_add:
+      - "993"   # render
+      - "44"    # video
     mem_limit: 2G
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:8096/health || exit 1"]
@@ -33,7 +46,9 @@ services:
       - PGID=1000
       - TZ=America/Chicago
     volumes:
-      - /mnt/docker-data/configs/sonarr:/config
+      # LOCAL disk, not NFS: SQLite-on-NFS locking crashed Sonarr's DB migration
+      # after the 2026-07-12 power event ("waiting for user intervention")
+      - /var/lib/sonarr:/config
       - /mnt/nas-media:/media
     ports:
       - "8989:8989"
@@ -111,10 +126,12 @@ services:
       - PGID=1000
       - TZ=America/Chicago
     volumes:
-      - /mnt/docker-data/configs/nzbhydra:/config
+      # LOCAL disk, not NFS: stale NFS lock on the H2 database after the
+      # 2026-07-12 power event kept hydra unhealthy in a DB-retry loop
+      - /var/lib/nzbhydra:/config
     ports:
       - "5076:5076"
-    mem_limit: 512M
+    mem_limit: 1G
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:5076/ || exit 1"]
       interval: 30s
@@ -127,14 +144,19 @@ services:
         max-size: "50m"
         max-file: "3"
 
-  jellyseerr:
+  seerr:
-    image: fallenbagel/jellyseerr:latest
+    # Seerr = merged successor of Jellyseerr/Overseerr (fallenbagel/jellyseerr
-    container_name: jellyseerr
+    # is deprecated). Migrated 2026-10-17; DB auto-migrated on first start.
+    # Runs as node (UID 1000), needs init. LOCAL disk (SQLite). Old config left
+    # at /mnt/docker-data/configs/jellyseerr for rollback.
+    image: seerr/seerr:v3.5.1
+    init: true
+    container_name: seerr
     restart: unless-stopped
     environment:
       - TZ=America/Chicago
     volumes:
-      - /mnt/docker-data/configs/jellyseerr:/app/config
+      - /var/lib/seerr:/app/config
     ports:
       - "5055:5055"
     mem_limit: 512M

compose/bart/node-exporter/docker-compose.yml

@@ -0,0 +1,24 @@
+services:
+  node-exporter:
+    image: prom/node-exporter:v1.12.1
+    container_name: node-exporter
+    hostname: bart
+    network_mode: host
+    pid: host
+    restart: unless-stopped
+    volumes:
+      - /proc:/host/proc:ro
+      - /sys:/host/sys:ro
+      - /:/rootfs:ro
+    command:
+      - "--path.procfs=/host/proc"
+      - "--path.rootfs=/rootfs"
+      - "--path.sysfs=/host/sys"
+      - "--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)"
+    logging:
+      driver: json-file
+      options:
+        max-size: 50m
+        max-file: "3"
+    labels:
+      - com.centurylinklabs.watchtower.enable=false

compose/bart/onyx/docker-compose.yml

@@ -1,231 +0,0 @@
-services:
-  api_server:
-    image: onyxdotapp/onyx-backend:latest
-    command: >
-      /bin/sh -c "alembic upgrade head &&
-      echo Starting Onyx API Server &&
-      uvicorn onyx.main:app --host 0.0.0.0 --port 8080"
-    depends_on:
-      relational_db:
-        condition: service_healthy
-      index:
-        condition: service_healthy
-      cache:
-        condition: service_healthy
-    restart: "no"
-    mem_limit: 2G
-    memswap_limit: 2G
-    env_file:
-      - .env
-    environment:
-      - AUTH_TYPE=basic
-      - DISABLE_TELEMETRY=true
-      - POSTGRES_HOST=relational_db
-      - VESPA_HOST=index
-      - REDIS_HOST=cache
-      - MODEL_SERVER_HOST=inference_model_server
-      - INDEXING_MODEL_SERVER_HOST=indexing_model_server
-      - OPENSEARCH_HOST=opensearch
-      - ENABLE_OPENSEARCH_INDEXING_FOR_ONYX=false
-      - FILE_STORE_BACKEND=postgres
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    volumes:
-      - onyx_file_connector:/home/file_connector_storage
-    networks:
-      - onyx
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  background:
-    image: onyxdotapp/onyx-backend:latest
-    command: >
-      /bin/sh -c "/usr/bin/supervisord -c /etc/supervisor/conf.d/supervisord.conf"
-    depends_on:
-      relational_db:
-        condition: service_healthy
-      index:
-        condition: service_healthy
-      cache:
-        condition: service_healthy
-    restart: "no"
-    mem_limit: 3G
-    memswap_limit: 3G
-    env_file:
-      - .env
-    environment:
-      - AUTH_TYPE=basic
-      - DISABLE_TELEMETRY=true
-      - POSTGRES_HOST=relational_db
-      - VESPA_HOST=index
-      - REDIS_HOST=cache
-      - MODEL_SERVER_HOST=inference_model_server
-      - INDEXING_MODEL_SERVER_HOST=indexing_model_server
-      - OPENSEARCH_HOST=opensearch
-      - ENABLE_OPENSEARCH_INDEXING_FOR_ONYX=false
-      - FILE_STORE_BACKEND=postgres
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    volumes:
-      - onyx_file_connector:/home/file_connector_storage
-    networks:
-      - onyx
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  web_server:
-    image: onyxdotapp/onyx-web-server:latest
-    depends_on:
-      - api_server
-    restart: "no"
-    mem_limit: 512M
-    memswap_limit: 512M
-    environment:
-      - INTERNAL_URL=http://api_server:8080
-      - WEB_DOMAIN=https://onyx.hobbs.farm
-      - NEXT_PUBLIC_DISABLE_STREAMING=false
-      - AUTH_TYPE=basic
-    networks:
-      - onyx
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  inference_model_server:
-    image: onyxdotapp/onyx-model-server:latest
-    command: >
-      /bin/sh -c "exec uvicorn model_server.main:app --host 0.0.0.0 --port 9000"
-    restart: "no"
-    mem_limit: 2G
-    memswap_limit: 2G
-    environment:
-      - MIN_THREADS_ML_MODELS=1
-      - LOG_LEVEL=info
-    volumes:
-      - onyx_model_cache_huggingface:/root/.cache/huggingface/
-    networks:
-      - onyx
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  indexing_model_server:
-    image: onyxdotapp/onyx-model-server:latest
-    command: >
-      /bin/sh -c "exec uvicorn model_server.main:app --host 0.0.0.0 --port 9000"
-    restart: "no"
-    mem_limit: 2G
-    memswap_limit: 2G
-    environment:
-      - MIN_THREADS_ML_MODELS=1
-      - INDEXING_ONLY=true
-      - LOG_LEVEL=info
-    volumes:
-      - onyx_model_cache_huggingface:/root/.cache/huggingface/
-    networks:
-      - onyx
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  relational_db:
-    image: postgres:15.2-alpine
-    restart: "no"
-    mem_limit: 512M
-    memswap_limit: 512M
-    environment:
-      - POSTGRES_USER=postgres
-      - POSTGRES_PASSWORD=onyx_postgres_pw
-    volumes:
-      - onyx_db:/var/lib/postgresql/data
-    networks:
-      - onyx
-    healthcheck:
-      test: ["CMD-SHELL", "pg_isready -U postgres"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  index:
-    image: vespaengine/vespa:8.609.39
-    restart: "no"
-    mem_limit: 4G
-    memswap_limit: 4G
-    volumes:
-      - onyx_vespa:/opt/vespa/var
-    networks:
-      - onyx
-    healthcheck:
-      test: ["CMD-SHELL", "curl -sf http://localhost:19071/state/v1/health || exit 1"]
-      interval: 30s
-      timeout: 10s
-      retries: 10
-      start_period: 120s
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  opensearch:
-    image: opensearchproject/opensearch:2.11.1
-    restart: "no"
-    mem_limit: 2G
-    memswap_limit: 2G
-    environment:
-      - discovery.type=single-node
-      - plugins.security.disabled=true
-      - OPENSEARCH_JAVA_OPTS=-Xms1g -Xmx1g
-      - DISABLE_INSTALL_DEMO_CONFIG=true
-    volumes:
-      - onyx_opensearch:/usr/share/opensearch/data
-    networks:
-      - onyx
-    healthcheck:
-      test: ["CMD-SHELL", "curl -sf http://localhost:9200/_cluster/health || exit 1"]
-      interval: 30s
-      timeout: 10s
-      retries: 10
-      start_period: 120s
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  cache:
-    image: redis:7.4-alpine
-    restart: "no"
-    mem_limit: 256M
-    memswap_limit: 256M
-    command: redis-server --maxmemory 128mb --maxmemory-policy allkeys-lru
-    networks:
-      - onyx
-    healthcheck:
-      test: ["CMD", "redis-cli", "ping"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-  nginx:
-    image: nginx:1.25.5-alpine
-    restart: "no"
-    mem_limit: 128M
-    memswap_limit: 128M
-    depends_on:
-      - api_server
-      - web_server
-    ports:
-      - "3005:80"
-    volumes:
-      - ./nginx.conf:/etc/nginx/conf.d/default.conf:ro
-    networks:
-      - onyx
-    labels:
-      com.centurylinklabs.watchtower.enable: "false"
-
-volumes:
-  onyx_file_connector:
-  onyx_model_cache_huggingface:
-  onyx_db:
-  onyx_vespa:
-  onyx_opensearch:
-
-networks:
-  onyx:
-    driver: bridge

compose/bart/onyx/nginx.conf

@@ -1,36 +0,0 @@
-server {
-    listen 80;
-    server_name _;
-
-    # Use Docker's internal DNS with a short TTL so container IP changes
-    # (e.g. after docker compose up -d for a single service) are picked up
-    # without requiring an nginx reload.
-    resolver 127.0.0.11 valid=10s;
-
-    client_max_body_size 100M;
-
-    location /api/ {
-        set $api_upstream http://api_server:8080;
-        rewrite ^/api/(.*)$ /$1 break;
-        proxy_pass $api_upstream;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-        proxy_read_timeout 300s;
-        proxy_connect_timeout 75s;
-        proxy_buffering off;
-        proxy_cache off;
-    }
-
-    location / {
-        set $web_upstream http://web_server:3000;
-        proxy_pass $web_upstream;
-        proxy_set_header Host $host;
-        proxy_set_header X-Real-IP $remote_addr;
-        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        proxy_set_header X-Forwarded-Proto $scheme;
-        proxy_read_timeout 300s;
-        proxy_connect_timeout 75s;
-    }
-}

compose/bart/openvas/docker-compose.yml

@@ -3,6 +3,10 @@ services:
     image: immauss/openvas:latest
     container_name: openvas
     restart: unless-stopped
+    labels:
+      # Watchtower pulled a new major that forced a pg_upgrade crash-loop
+      # (212 restarts, 2026-07-13); update OpenVAS deliberately instead
+      - "com.centurylinklabs.watchtower.enable=false"
     environment:
       - PASSWORD=${OPENVAS_PASSWORD}
       - USERNAME=${OPENVAS_USERNAME}

compose/bart/telegraf/docker-compose.yml

@@ -0,0 +1,22 @@
+services:
+  telegraf:
+    image: telegraf:latest
+    container_name: telegraf
+    hostname: bart
+    restart: unless-stopped
+    environment:
+      - HOST_PROC=/host/proc
+      - HOST_SYS=/host/sys
+      - HOST_ETC=/host/etc
+    volumes:
+      - /mnt/docker-data/configs/telegraf/telegraf.conf:/etc/telegraf/telegraf.conf:ro
+      - /var/run/docker.sock:/var/run/docker.sock:ro
+      - /sys:/host/sys:ro
+      - /proc:/host/proc:ro
+      - /etc:/host/etc:ro
+    mem_limit: 512M
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"

compose/bart/watchtower/docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   watchtower:
-    image: containrrr/watchtower:latest
+    image: nickfedor/watchtower:latest  # containrrr/watchtower is archived upstream (2026-10-26)
     container_name: watchtower
     restart: unless-stopped
     volumes:
@@ -8,7 +8,7 @@ services:
     environment:
       - WATCHTOWER_CLEANUP=true
       - WATCHTOWER_INCLUDE_RESTARTING=true
-      - WATCHTOWER_POLL_INTERVAL=86400
+      - WATCHTOWER_SCHEDULE=0 0 4,16 * * *  # twice daily, 04:00 + 16:00 local
       - WATCHTOWER_MONITOR_ONLY=false
       - TZ=America/Chicago
       - DOCKER_API_VERSION=1.44

compose/gpu-machine/friday-voice/Dockerfile.hermes

@@ -0,0 +1,17 @@
+# Overlay on the friday-voice app image that adds the docker CLI + a wrapper so
+# the container can reach the hermes agent via `docker exec hermes hermes ...`.
+# Runs as root to access the mounted /var/run/docker.sock.
+FROM friday-voice:latest
+
+USER root
+
+# Static docker *client* only (~small), for `docker exec` into the hermes container.
+RUN curl -fsSL https://download.docker.com/linux/static/stable/x86_64/docker-27.5.1.tgz \
+      | tar -xz --strip-components=1 -C /usr/local/bin docker/docker \
+    && chmod +x /usr/local/bin/docker \
+    && docker --version
+
+COPY hermes-wrap /usr/local/bin/hermes-wrap
+RUN chmod +x /usr/local/bin/hermes-wrap
+
+# Keep the base image's CMD (uvicorn friday_voice.app:app :8320).

compose/gpu-machine/friday-voice/docker-compose.yml

@@ -0,0 +1,49 @@
+# FRIDAY Voice on .150 (Docker Desktop) — replaces VoiceCoach.
+# STT/TTS via local GPU speaches (:8000). Reasoning via the hermes container
+# (invoked through the docker-exec wrapper). Runs as root for socket access.
+services:
+  friday-voice:
+    build:
+      context: .
+      dockerfile: Dockerfile.hermes
+    image: friday-voice-hermes:latest
+    container_name: friday-voice
+    restart: unless-stopped
+    user: "0:0"
+    ports:
+      - "8320:8320"
+    volumes:
+      - friday-voice-data:/data
+      - /var/run/docker.sock:/var/run/docker.sock
+    environment:
+      - DATA_DIR=/data
+      - SPEACHES_URL=http://host.docker.internal:8000
+      - HERMES_COMMAND=/usr/local/bin/hermes-wrap
+      - HERMES_SOURCE=friday-voice
+      - WHISPER_MODEL=deepdml/faster-whisper-large-v3-turbo-ct2
+      - TTS_MODEL=speaches-ai/Kokoro-82M-v1.0-ONNX
+      - TTS_VOICE=af_nova
+      - SPEAKER_CONFIRMED_THRESHOLD=0.85
+      - SPEAKER_PROBABLE_THRESHOLD=0.70
+    extra_hosts:
+      - "host.docker.internal:host-gateway"
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    healthcheck:
+      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8320/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "20m"
+        max-file: "3"
+
+volumes:
+  friday-voice-data:
+
+networks:
+  default:
+    name: friday-voice

compose/gpu-machine/friday-voice/hermes-wrap

@@ -0,0 +1,5 @@
+#!/bin/sh
+# friday-voice invokes: hermes-wrap chat -q "<text>" --source friday-voice
+# We forward into the hermes container and add -Q (quiet) so only the final
+# response text is returned (no banner/spinner/box art) for clean TTS.
+exec docker exec hermes hermes "$@" -Q

compose/gpu-machine/hermes/docker-compose.yml

@@ -0,0 +1,34 @@
+# Hermes Agent on .150 (Docker Desktop) — FRIDAY's reasoning agent.
+# Data/settings live in the `hermes-data` named volume, seeded from the user's
+# WSL ~/.hermes (settings preserved; SQLite state.db kept on the VM ext4, not a
+# bridged bind mount). friday-voice calls this via `docker exec hermes hermes ...`.
+services:
+  gateway:
+    # PINNED 2026-08-20. Was `:latest`, which on this repo is the same digest as
+    # `main` (a rolling dev build), and with Watchtower disabled nothing ever
+    # re-pulled it — the container sat on v2026.7.1 for ~7 weeks / 9 releases.
+    # Bump deliberately; rollback image: nousresearch/hermes-agent:rollback-2026.7.1
+    image: nousresearch/hermes-agent:v2026.8.18
+    container_name: hermes
+    restart: unless-stopped
+    volumes:
+      - hermes-data:/opt/data
+    environment:
+      - HERMES_UID=10000
+      - HERMES_GID=10000
+    command: ["gateway", "run"]
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+  # dashboard: disabled — crash-loops under s6 on Docker Desktop and not needed
+  # by friday-voice (gateway + `docker exec hermes` is all that's required).
+  # Re-enable + debug later if the localhost:9119 web UI is wanted.
+
+volumes:
+  hermes-data:
+    external: true

compose/gpu-machine/llamacpp/docker-compose.yml

@@ -0,0 +1,62 @@
+# llama.cpp server on .150 (Docker Desktop) — inference backend for hermes/FRIDAY.
+#
+# Replaced ollama as the *serving* engine on 2026-08-21 after a head-to-head
+# benchmark on the same GGUF, same 64k context, same GPU:
+#   ollama (f16 KV):    15.8 tok/s aggregate, 16.5 sustained, 23207 MiB VRAM
+#   llama.cpp (q8_0 KV): 39.7 tok/s aggregate, 39.9 sustained, 19545 MiB VRAM
+# The difference is the quantized KV cache: it drops the footprint from 23.2GB
+# to 18.6GB, so the whole model fits on the 3090 instead of spilling layers to
+# CPU. Ollama exposes no knob for KV quantization.
+#
+# Image is pinned BY DIGEST on purpose — `:server-cuda` is a moving tag, and
+# this homelab has been bitten by tag-rot three times (synapse, gitea, openclaw).
+services:
+  llamacpp:
+    image: ghcr.io/ggml-org/llama.cpp@sha256:995fe9f237c622ac257905948c3cdde447ab343db22e0686322445b5ec6d3131
+    container_name: llamacpp
+    restart: unless-stopped
+    ports:
+      - "8081:8081"
+    volumes:
+      # Read-only mount of ollama's blob store. NOTE the coupling: this is the
+      # GGUF that `qwen3.8` resolves to. C: only had 26GB free so a dedicated
+      # copy wasn't practical. If you ever `ollama rm qwen3.8`, this breaks —
+      # copy the blob out first.
+      - "C:/Users/Jeremy/.ollama/models/blobs:/models:ro"
+    command:
+      - "-m"
+      - "/models/sha256-f5f1dd8920d417aac2718b0bda3403da274301efdd6760b4f0f4b864ff2ad57d"
+      - "--alias"
+      - "qwen3.8-64k"
+      - "-ngl"
+      - "99"                      # all 65 layers to GPU
+      - "-c"
+      - "65536"                   # hermes hard-refuses anything under 64K
+      - "--cache-type-k"
+      - "q8_0"                    # the whole point — halves KV cache
+      - "--cache-type-v"
+      - "q8_0"
+      - "--host"
+      - "0.0.0.0"
+      - "--port"
+      - "8081"
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    # The image ships its own HEALTHCHECK that cannot run here, so the
+    # container reports permanently "unhealthy" while serving fine (cf. litellm,
+    # CLAUDE.md known issue #15). Disable it; liveness is the blackbox probe of
+    # GET http://192.168.86.150:8081/health from outside.
+    healthcheck:
+      disable: true
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"

compose/gpu-machine/voicecoach-speaches/docker-compose.yml

@@ -0,0 +1,36 @@
+services:
+  speaches:
+    image: ghcr.io/speaches-ai/speaches:latest-cuda
+    container_name: voicecoach-speaches-gpu
+    restart: unless-stopped
+    environment:
+      - WHISPER__INFERENCE_DEVICE=cuda
+      - WHISPER__COMPUTE_TYPE=float16
+      - WHISPER__TTL=-1
+    volumes:
+      - speaches-models:/home/ubuntu/.cache
+    ports:
+      - "8000:8000"
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    healthcheck:
+      test: ["CMD", "curl", "-sf", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 180s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+volumes:
+  speaches-models:

compose/hf-pdocker-01/adguard/docker-compose.yml

@@ -1,26 +0,0 @@
-services:
-  adguardhome:
-    image: adguard/adguardhome:latest
-    container_name: adguardhome
-    restart: unless-stopped
-    volumes:
-      - /mnt/docker-data/configs/adguardhome/work:/opt/adguardhome/work
-      - /mnt/docker-data/configs/adguardhome/conf:/opt/adguardhome/conf
-    ports:
-      - "53:53/tcp"
-      - "53:53/udp"
-      - "3000:3000/tcp"
-      - "853:853/tcp"
-    mem_limit: 256M
-    memswap_limit: 256M
-    healthcheck:
-      test: ["CMD-SHELL", "wget -q --spider http://localhost:3000/ || exit 1"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 30s
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "50m"
-        max-file: "3"

compose/hf-pdocker-01/ai-agents/docker-compose.yml

@@ -36,6 +36,7 @@ services:
       - HOME=/home/glyptic
       - USER=glyptic
       - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
+      - GEMINI_API_KEY=${GEMINI_API_KEY}
       - WIKIJS_API_KEY=${WIKIJS_API_KEY}
       - OPENCLAW_STATE_DIR=/home/glyptic/.spirit
       - OPENCLAW_CONFIG_PATH=/home/glyptic/.spirit/openclaw.json
@@ -43,6 +44,8 @@ services:
       - /mnt/infrastructure/spirit:/home/glyptic/.spirit
       - /var/run/docker.sock:/var/run/docker.sock
       - /mnt/infrastructure/spirit/ssh:/root/.ssh:ro
+      - /mnt/docker-data/configs/prometheus:/prometheus-config
+      - /mnt/docker-data/configs/alertmanager:/alertmanager-config
     command: ["sh", "-c", "mkdir -p /home/glyptic && node --max-old-space-size=1500 /usr/local/lib/node_modules/openclaw/dist/index.js gateway --allow-unconfigured"]
     mem_limit: 3G
     memswap_limit: 3G
@@ -52,74 +55,3 @@ services:
         max-size: "50m"
         max-file: "3"
 
-  bob:
-    image: margaret-openclaw:latest
-    container_name: bob
-    restart: unless-stopped
-    network_mode: host
-    user: "0:0"
-    environment:
-      - NODE_ENV=production
-      - HOME=/home/glyptic
-      - USER=glyptic
-      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
-      - OPENCLAW_STATE_DIR=/home/glyptic/.bob
-      - OPENCLAW_CONFIG_PATH=/home/glyptic/.bob/openclaw.json
-    volumes:
-      - /mnt/infrastructure/bob:/home/glyptic/.bob
-    command: ["sh", "-c", "mkdir -p /home/glyptic && node --max-old-space-size=1500 /usr/local/lib/node_modules/openclaw/dist/index.js gateway --allow-unconfigured"]
-    mem_limit: 2G
-    memswap_limit: 2G
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "50m"
-        max-file: "3"
-
-  clippy:
-    image: margaret-openclaw:latest
-    container_name: clippy
-    restart: unless-stopped
-    network_mode: host
-    user: "0:0"
-    environment:
-      - NODE_ENV=production
-      - HOME=/home/glyptic
-      - USER=glyptic
-      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
-      - OPENCLAW_STATE_DIR=/home/glyptic/.clippy
-      - OPENCLAW_CONFIG_PATH=/home/glyptic/.clippy/openclaw.json
-    volumes:
-      - /mnt/infrastructure/clippy:/home/glyptic/.clippy
-    command: ["sh", "-c", "mkdir -p /home/glyptic && node --max-old-space-size=1500 /usr/local/lib/node_modules/openclaw/dist/index.js gateway --allow-unconfigured"]
-    mem_limit: 2G
-    memswap_limit: 2G
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "50m"
-        max-file: "3"
-
-  travis:
-    image: travis-nemoclaw:latest
-    container_name: travis
-    restart: unless-stopped
-    network_mode: host
-    user: "0:0"
-    environment:
-      - NODE_ENV=production
-      - HOME=/home/glyptic
-      - USER=glyptic
-      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
-      - OPENCLAW_STATE_DIR=/home/glyptic/.travis
-      - OPENCLAW_CONFIG_PATH=/home/glyptic/.travis/openclaw.json
-    volumes:
-      - /mnt/infrastructure/travis:/home/glyptic/.travis
-    command: ["sh", "-c", "mkdir -p /home/glyptic && openclaw plugins install /opt/nemoclaw 2>/dev/null; node --max-old-space-size=1500 /usr/local/lib/node_modules/openclaw/dist/index.js gateway --allow-unconfigured"]
-    mem_limit: 2G
-    memswap_limit: 2G
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "50m"
-        max-file: "3"

compose/hf-pdocker-01/ai-agents/margaret/Dockerfile

@@ -0,0 +1,35 @@
+# Margaret — OpenClaw gateway agent (hf-pdocker-01, :18790)
+#
+# Reconstructed 2026-08-20 from the layer history of margaret-openclaw:latest;
+# the original Dockerfile was never committed anywhere.
+#
+# OPENCLAW_VERSION is pinned on purpose. This image was previously built with
+# `openclaw@latest`, which is how it sat on 2026.5.27 for months without anyone
+# noticing (same failure mode as the matrixdotorg/synapse :latest rot).
+# Bump this ARG deliberately.
+FROM node:22.22.3-bookworm
+
+ARG OPENCLAW_VERSION=2026.7.1-2
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        git ca-certificates \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN npm install -g openclaw@${OPENCLAW_VERSION} 2>&1 | tail -5
+
+# The bundled matrix extension ships without its runtime deps installed.
+RUN if [ -d /usr/local/lib/node_modules/openclaw/dist/extensions/matrix ]; then \
+      cd /usr/local/lib/node_modules/openclaw/dist/extensions/matrix && \
+      npm install --no-fund --no-audit 2>&1 | tail -5; \
+    fi
+
+# Shim for a plugin-sdk export path some builds omit.
+RUN if [ ! -f /usr/local/lib/node_modules/openclaw/dist/plugin-sdk/keyed-async-queue.js ]; then \
+      printf 'export { KeyedAsyncQueue, enqueueKeyedTask } from "./index.js";\n' \
+        > /usr/local/lib/node_modules/openclaw/dist/plugin-sdk/keyed-async-queue.js; \
+    fi
+
+USER node
+WORKDIR /home/node
+EXPOSE 18790
+CMD ["openclaw", "gateway", "start", "--foreground"]

compose/hf-pdocker-01/ai-agents/spirit/Dockerfile

@@ -0,0 +1,38 @@
+# Spirit — OpenClaw infra-ops agent (hf-pdocker-01, :18795)
+#
+# Reconstructed 2026-08-20 from the layer history of spirit-ops:latest;
+# the original Dockerfile was never committed anywhere.
+#
+# OPENCLAW_VERSION is pinned on purpose. This image was previously built with
+# `openclaw@latest`, which is how it sat on 2026.5.27 for months without anyone
+# noticing (same failure mode as the matrixdotorg/synapse :latest rot).
+# Bump this ARG deliberately.
+FROM node:22.22.3-bookworm
+
+ARG OPENCLAW_VERSION=2026.7.1-2
+
+# spirit does infra ops: needs ssh out to the nodes plus basic diagnostics.
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        git ca-certificates openssh-client curl jq procps net-tools \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN npm install -g openclaw@${OPENCLAW_VERSION} 2>&1 | tail -5
+
+RUN npm install -g @google/gemini-cli 2>&1 | tail -3
+
+# The bundled matrix extension ships without its runtime deps installed.
+RUN if [ -d /usr/local/lib/node_modules/openclaw/dist/extensions/matrix ]; then \
+      cd /usr/local/lib/node_modules/openclaw/dist/extensions/matrix && \
+      npm install --no-fund --no-audit 2>&1 | tail -5; \
+    fi
+
+# Shim for a plugin-sdk export path some builds omit.
+RUN if [ ! -f /usr/local/lib/node_modules/openclaw/dist/plugin-sdk/keyed-async-queue.js ]; then \
+      printf 'export { KeyedAsyncQueue, enqueueKeyedTask } from "./index.js";\n' \
+        > /usr/local/lib/node_modules/openclaw/dist/plugin-sdk/keyed-async-queue.js; \
+    fi
+
+USER node
+WORKDIR /home/node
+EXPOSE 18795
+CMD ["openclaw", "gateway", "start", "--foreground"]

compose/hf-pdocker-01/friday-voice/.env.example

@@ -0,0 +1,8 @@
+SPEACHES_URL=http://192.168.86.150:8000
+HERMES_COMMAND=hermes
+HERMES_SOURCE=friday-voice
+WHISPER_MODEL=deepdml/faster-whisper-large-v3-turbo-ct2
+TTS_MODEL=speaches-ai/Kokoro-82M-v1.0-ONNX
+TTS_VOICE=af_nova
+SPEAKER_CONFIRMED_THRESHOLD=0.85
+SPEAKER_PROBABLE_THRESHOLD=0.70

compose/hf-pdocker-01/friday-voice/docker-compose.yml

@@ -0,0 +1,39 @@
+services:
+  friday-voice:
+    build:
+      context: /opt/friday-voice
+      dockerfile: Dockerfile
+    image: friday-voice:latest
+    container_name: friday-voice
+    restart: unless-stopped
+    ports:
+      - "8320:8320"
+    volumes:
+      - /mnt/docker-data/configs/friday-voice:/data
+    environment:
+      - DATA_DIR=/data
+      - SPEACHES_URL=${SPEACHES_URL:-http://192.168.86.150:8000}
+      - HERMES_COMMAND=${HERMES_COMMAND:-hermes}
+      - HERMES_SOURCE=${HERMES_SOURCE:-friday-voice}
+      - WHISPER_MODEL=${WHISPER_MODEL:-deepdml/faster-whisper-large-v3-turbo-ct2}
+      - TTS_MODEL=${TTS_MODEL:-speaches-ai/Kokoro-82M-v1.0-ONNX}
+      - TTS_VOICE=${TTS_VOICE:-af_nova}
+      - SPEAKER_CONFIRMED_THRESHOLD=${SPEAKER_CONFIRMED_THRESHOLD:-0.85}
+      - SPEAKER_PROBABLE_THRESHOLD=${SPEAKER_PROBABLE_THRESHOLD:-0.70}
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    healthcheck:
+      test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8320/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 20s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "20m"
+        max-file: "3"
+
+networks:
+  default:
+    name: friday-voice

compose/hf-pdocker-01/frigate-notify/Dockerfile

@@ -9,6 +9,8 @@ RUN pip install --no-cache-dir -r requirements.txt
 
 COPY app/ .
 
+RUN mkdir -p /data
+
 EXPOSE 5199
 
 CMD ["python", "-u", "main.py"]

compose/hf-pdocker-01/frigate-notify/app/cleanup.py

@@ -0,0 +1,35 @@
+"""Automatic event cleanup based on retention settings."""
+
+import asyncio
+import logging
+
+from database import get_connection
+
+logger = logging.getLogger(__name__)
+
+
+async def cleanup_old_events():
+    """Delete events older than the configured retention period. Runs hourly."""
+    while True:
+        try:
+            conn = get_connection()
+            row = conn.execute(
+                "SELECT value FROM settings WHERE key='event_retention_days'"
+            ).fetchone()
+            days = int(row["value"]) if row else 90
+
+            result = conn.execute(
+                "DELETE FROM events WHERE created_at < datetime('now', ? || ' days')",
+                (f"-{days}",),
+            )
+            conn.commit()
+            if result.rowcount > 0:
+                logger.info(
+                    "Cleaned up %d events older than %d days",
+                    result.rowcount,
+                    days,
+                )
+        except Exception:
+            logger.exception("Cleanup failed")
+
+        await asyncio.sleep(3600)

compose/hf-pdocker-01/frigate-notify/app/config.py

@@ -0,0 +1,56 @@
+"""Centralized configuration for frigate-notify v2."""
+
+import os
+
+
+class Config:
+    """Application configuration read from environment variables."""
+
+    # MQTT
+    MQTT_HOST: str = os.environ.get("MQTT_HOST", "192.168.86.192")
+    MQTT_PORT: int = int(os.environ.get("MQTT_PORT", "1883"))
+
+    # Frigate
+    FRIGATE_URL: str = os.environ.get("FRIGATE_URL", "http://192.168.86.192:5000")
+
+    # Matrix
+    MATRIX_HOMESERVER: str = os.environ.get(
+        "MATRIX_HOMESERVER", "http://192.168.86.192:8008"
+    )
+    MATRIX_ACCESS_TOKEN: str = os.environ.get("MATRIX_ACCESS_TOKEN", "")
+    MATRIX_ROOM_ID: str = os.environ.get("MATRIX_ROOM_ID", "")
+
+    # Vision - CLIP service
+    CLIP_SERVICE_URL: str = os.environ.get(
+        "CLIP_SERVICE_URL", "http://192.168.86.150:5200"
+    )
+
+    # Vision - Ollama
+    OLLAMA_URL: str = os.environ.get("OLLAMA_URL", "http://192.168.86.150:11434")
+    OLLAMA_MODEL: str = os.environ.get("OLLAMA_MODEL", "llava:13b")
+
+    # Recognition thresholds
+    RECOGNITION_THRESHOLD_HIGH: float = float(
+        os.environ.get("RECOGNITION_THRESHOLD_HIGH", "0.85")
+    )
+    RECOGNITION_THRESHOLD_LOW: float = float(
+        os.environ.get("RECOGNITION_THRESHOLD_LOW", "0.60")
+    )
+
+    # Filtering
+    ALLOWED_LABELS: set = set(
+        os.environ.get("ALLOWED_LABELS", "person,car,dog,cat,bird").split(",")
+    )
+    MIN_SCORE: float = float(os.environ.get("MIN_SCORE", "0.7"))
+    RATE_LIMIT_SECONDS: int = int(os.environ.get("RATE_LIMIT_SECONDS", "60"))
+    DEDUP_WINDOW_SECONDS: int = int(os.environ.get("DEDUP_WINDOW_SECONDS", "30"))
+
+    # Server
+    SERVER_HOST: str = os.environ.get("SERVER_HOST", "0.0.0.0")
+    SERVER_PORT: int = int(os.environ.get("SERVER_PORT", "5199"))
+
+    # Database
+    DB_PATH: str = os.environ.get("DB_PATH", "/data/frigate-notify.db")
+
+
+config = Config()

compose/hf-pdocker-01/frigate-notify/app/database.py

@@ -0,0 +1,109 @@
+"""SQLite database schema and connection management for frigate-notify v2."""
+
+import logging
+import sqlite3
+import threading
+
+logger = logging.getLogger(__name__)
+
+# Thread-local storage for database connections
+_local = threading.local()
+
+_db_path: str = "/data/frigate-notify.db"
+
+
+def set_db_path(path: str) -> None:
+    """Set the database path. Closes any existing connection first."""
+    global _db_path
+    close_connection()
+    _db_path = path
+
+
+def get_connection() -> sqlite3.Connection:
+    """Get a thread-local database connection with WAL mode and foreign keys enabled."""
+    if not hasattr(_local, "connection") or _local.connection is None:
+        conn = sqlite3.connect(_db_path)
+        conn.execute("PRAGMA journal_mode=WAL")
+        conn.execute("PRAGMA foreign_keys=ON")
+        conn.row_factory = sqlite3.Row
+        _local.connection = conn
+    return _local.connection
+
+
+def close_connection() -> None:
+    """Close the thread-local database connection if one exists."""
+    if hasattr(_local, "connection") and _local.connection is not None:
+        _local.connection.close()
+        _local.connection = None
+
+
+def init_db() -> None:
+    """Create all tables and default settings."""
+    conn = get_connection()
+    cursor = conn.cursor()
+
+    cursor.executescript(
+        """
+        CREATE TABLE IF NOT EXISTS known_objects (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            name TEXT NOT NULL,
+            type TEXT NOT NULL CHECK(type IN ('person', 'vehicle', 'pet')),
+            action TEXT NOT NULL DEFAULT 'quiet' CHECK(action IN ('quiet', 'suppress', 'alert')),
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+        );
+
+        CREATE TABLE IF NOT EXISTS embeddings (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            known_object_id INTEGER NOT NULL,
+            embedding BLOB NOT NULL,
+            snapshot_url TEXT,
+            thumbnail BLOB,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            FOREIGN KEY (known_object_id) REFERENCES known_objects(id) ON DELETE CASCADE
+        );
+
+        CREATE TABLE IF NOT EXISTS events (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            frigate_event_id TEXT UNIQUE NOT NULL,
+            camera TEXT NOT NULL,
+            label TEXT NOT NULL,
+            score REAL NOT NULL,
+            snapshot BLOB,
+            embedding BLOB,
+            match_status TEXT NOT NULL DEFAULT 'unreviewed'
+                CHECK(match_status IN ('known', 'unknown', 'ambiguous', 'unreviewed')),
+            matched_object_id INTEGER,
+            match_confidence REAL,
+            ai_description TEXT,
+            notified INTEGER NOT NULL DEFAULT 0,
+            created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+            FOREIGN KEY (matched_object_id) REFERENCES known_objects(id) ON DELETE SET NULL
+        );
+
+        CREATE TABLE IF NOT EXISTS settings (
+            key TEXT PRIMARY KEY,
+            value TEXT NOT NULL
+        );
+
+        CREATE INDEX IF NOT EXISTS idx_events_created_at ON events(created_at);
+        CREATE INDEX IF NOT EXISTS idx_events_match_status ON events(match_status);
+        CREATE INDEX IF NOT EXISTS idx_events_camera ON events(camera);
+        CREATE INDEX IF NOT EXISTS idx_embeddings_known_object_id ON embeddings(known_object_id);
+        """
+    )
+
+    # Insert default settings if they don't exist
+    defaults = {
+        "vision_backend": "haiku",
+        "recognition_enabled": "false",
+        "event_retention_days": "90",
+    }
+    for key, value in defaults.items():
+        cursor.execute(
+            "INSERT OR IGNORE INTO settings (key, value) VALUES (?, ?)",
+            (key, value),
+        )
+
+    conn.commit()
+    logger.info("Database initialized at %s", _db_path)

compose/hf-pdocker-01/frigate-notify/app/main.py

@@ -1,3 +1,5 @@
+"""frigate-notify v2 — FastAPI application with MQTT listener."""
+
 import asyncio
 import json
 import logging
@@ -6,29 +8,28 @@ import signal
 import sys
 import time
 from collections import defaultdict
-from http.server import HTTPServer, BaseHTTPRequestHandler
+from contextlib import asynccontextmanager
+from pathlib import Path
 from threading import Thread
 
 import aiohttp
 import anthropic
 import paho.mqtt.client as mqtt
+import uvicorn
+from fastapi import FastAPI
+from fastapi.responses import FileResponse, JSONResponse
+from fastapi.staticfiles import StaticFiles
 
-from vision import analyze_snapshot
+from config import config
+from database import close_connection, get_connection, init_db, set_db_path
 from matrix_client import MatrixClient
-
+from routes.events import router as events_router
-# --- Configuration ---
+from routes.known_objects import router as known_objects_router
-MQTT_HOST = os.environ.get("MQTT_HOST", "192.168.86.192")
+from routes.settings import router as settings_router
-MQTT_PORT = int(os.environ.get("MQTT_PORT", "1883"))
+from ollama_client import OllamaClient
-FRIGATE_URL = os.environ.get("FRIGATE_URL", "http://192.168.86.192:5000")
+from recognition import recognize_event, get_clip_embedding, embedding_to_bytes
-MATRIX_HOMESERVER = os.environ.get("MATRIX_HOMESERVER", "http://192.168.86.192:8008")
+from vision import get_description
-MATRIX_ACCESS_TOKEN = os.environ["MATRIX_ACCESS_TOKEN"]
+from cleanup import cleanup_old_events
-MATRIX_ROOM_ID = os.environ["MATRIX_ROOM_ID"]
-HEALTH_PORT = int(os.environ.get("HEALTH_PORT", "5199"))
-
-ALLOWED_LABELS = {"person", "car", "dog", "cat", "bird"}
-MIN_SCORE = 0.7
-RATE_LIMIT_SECONDS = 60
-DEDUP_WINDOW_SECONDS = 30
 
 # --- Logging ---
 logging.basicConfig(
@@ -44,46 +45,12 @@ last_notify_per_camera: defaultdict[str, float] = defaultdict(float)
 events_processed = 0
 last_event_time: str | None = None
 mqtt_connected = False
-
+mqtt_client_instance: mqtt.Client | None = None
-
-# --- Health endpoint ---
-class HealthHandler(BaseHTTPRequestHandler):
-    protocol_version = "HTTP/1.1"
-
-    def do_GET(self):
-        if self.path == "/health":
-            body = json.dumps(
-                {
-                    "status": "ok",
-                    "mqtt_connected": mqtt_connected,
-                    "events_processed": events_processed,
-                    "last_event": last_event_time,
-                }
-            )
-            encoded = body.encode()
-            self.send_response(200)
-            self.send_header("Content-Type", "application/json")
-            self.send_header("Content-Length", str(len(encoded)))
-            self.end_headers()
-            self.wfile.write(encoded)
-        else:
-            self.send_response(404)
-            self.end_headers()
-
-    def log_message(self, format, *args):
-        pass  # suppress access logs
-
-
-def start_health_server():
-    server = HTTPServer(("0.0.0.0", HEALTH_PORT), HealthHandler)
-    thread = Thread(target=server.serve_forever, daemon=True)
-    thread.start()
-    logger.info("Health server started on port %d", HEALTH_PORT)
 
 
 # --- Snapshot fetching ---
 async def fetch_snapshot(event_id: str) -> bytes | None:
-    url = f"{FRIGATE_URL}/api/events/{event_id}/snapshot.jpg"
+    url = f"{config.FRIGATE_URL}/api/events/{event_id}/snapshot.jpg"
     try:
         async with aiohttp.ClientSession() as session:
             async with session.get(url) as resp:
@@ -103,7 +70,8 @@ async def fetch_snapshot(event_id: str) -> bytes | None:
 
 # --- Event processing ---
 async def process_event(
-    event_data: dict, claude: anthropic.Anthropic, matrix: MatrixClient
+    event_data: dict, claude: anthropic.Anthropic, matrix: MatrixClient,
+    ollama_client: OllamaClient = None,
 ):
     global events_processed, last_event_time
 
@@ -119,27 +87,30 @@ async def process_event(
     has_snapshot = after.get("has_snapshot", False)
 
     # --- Filtering ---
-    if label not in ALLOWED_LABELS:
+    if label not in config.ALLOWED_LABELS:
         return
-    if score < MIN_SCORE:
+    if score < config.MIN_SCORE:
         return
     if not has_snapshot:
         return
 
     # Dedup
     now = time.time()
-    if event_id in recent_events and now - recent_events[event_id] < DEDUP_WINDOW_SECONDS:
+    if (
+        event_id in recent_events
+        and now - recent_events[event_id] < config.DEDUP_WINDOW_SECONDS
+    ):
         return
     recent_events[event_id] = now
 
     # Rate limit per camera
-    if now - last_notify_per_camera[camera] < RATE_LIMIT_SECONDS:
+    if now - last_notify_per_camera[camera] < config.RATE_LIMIT_SECONDS:
         logger.info("Rate limited: %s on %s", label, camera)
         return
     last_notify_per_camera[camera] = now
 
     # Cleanup old dedup entries
-    cutoff = now - DEDUP_WINDOW_SECONDS * 2
+    cutoff = now - config.DEDUP_WINDOW_SECONDS * 2
     for eid in [k for k, v in recent_events.items() if v < cutoff]:
         del recent_events[eid]
 
@@ -150,18 +121,84 @@ async def process_event(
     # --- Fetch snapshot ---
     snapshot = await fetch_snapshot(event_id)
 
-    # --- AI analysis ---
+    # --- Recognition ---
+    match_status = "unreviewed"
+    matched_id = None
+    match_conf = 0.0
+    matched_name = None
+
+    # Check if recognition is enabled
+    recognition_enabled = False
+    try:
+        conn = get_connection()
+        row = conn.execute("SELECT value FROM settings WHERE key='recognition_enabled'").fetchone()
+        if row:
+            recognition_enabled = row["value"].lower() == "true"
+    except Exception:
+        pass
+
+    if recognition_enabled and snapshot:
+        match_status, matched_id, match_conf, matched_name = await recognize_event(
+            snapshot, ollama_client
+        )
+        # Store embedding with event
+        embedding = await get_clip_embedding(snapshot)
+        if embedding:
+            embedding_blob = embedding_to_bytes(embedding)
+            try:
+                conn = get_connection()
+                conn.execute(
+                    "UPDATE events SET embedding=?, match_status=?, matched_object_id=?, match_confidence=? WHERE frigate_event_id=?",
+                    (embedding_blob, match_status, matched_id, match_conf, event_id),
+                )
+                conn.commit()
+            except Exception:
+                logger.exception("Failed to update event recognition")
+
+        # If known, check action - skip notification for quiet/suppress
+        if match_status == "known" and matched_id:
+            conn = get_connection()
+            obj = conn.execute("SELECT action FROM known_objects WHERE id=?", (matched_id,)).fetchone()
+            if obj and obj["action"] in ("quiet", "suppress"):
+                logger.info("Known object '%s' (%s), skipping notification", matched_name, obj["action"])
+                events_processed += 1
+                last_event_time = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
+                return
+
+    # --- AI description ---
+    vision_backend = "haiku"
+    try:
+        conn = get_connection()
+        row = conn.execute("SELECT value FROM settings WHERE key='vision_backend'").fetchone()
+        if row:
+            vision_backend = row["value"]
+    except Exception:
+        pass
+
     description = None
     if snapshot:
-        description = analyze_snapshot(claude, snapshot)
+        description = await get_description(snapshot, vision_backend, claude, ollama_client)
     if not description:
         description = f"{label.capitalize()} detected on {camera}."
 
+    # --- Store event in database ---
+    try:
+        conn = get_connection()
+        conn.execute(
+            """INSERT OR IGNORE INTO events
+               (frigate_event_id, camera, label, score, snapshot, match_status, ai_description, notified)
+               VALUES (?, ?, ?, ?, ?, ?, ?, 1)""",
+            (event_id, camera, label, score, snapshot, match_status, description),
+        )
+        conn.commit()
+    except Exception:
+        logger.exception("Failed to store event %s in database", event_id)
+
     # --- Format message ---
     score_pct = int(score * 100)
     ts = time.strftime("%I:%M:%S %p", time.localtime())
     date_str = time.strftime("%b %d, %Y", time.localtime())
-    frigate_link = f"{FRIGATE_URL}/review?id={event_id}"
+    frigate_link = f"{config.FRIGATE_URL}/review?id={event_id}"
 
     plain = (
         f"{camera} - {label.capitalize()} - {score_pct}%\n"
@@ -195,7 +232,8 @@ def create_mqtt_client(
     loop: asyncio.AbstractEventLoop,
     claude: anthropic.Anthropic,
     matrix: MatrixClient,
-):
+    ollama_client: OllamaClient = None,
+) -> mqtt.Client:
     global mqtt_connected
 
     def on_connect(client, userdata, flags, reason_code, properties):
@@ -213,7 +251,7 @@ def create_mqtt_client(
         try:
             payload = json.loads(msg.payload)
             asyncio.run_coroutine_threadsafe(
-                process_event(payload, claude, matrix), loop
+                process_event(payload, claude, matrix, ollama_client), loop
             )
         except json.JSONDecodeError:
             logger.warning("Invalid JSON on %s", msg.topic)
@@ -227,33 +265,99 @@ def create_mqtt_client(
     return client
 
 
-# --- Main ---
+def start_mqtt(loop: asyncio.AbstractEventLoop) -> None:
-def main():
+    """Start MQTT client in a background thread."""
-    logger.info("Starting frigate-notify")
+    global mqtt_client_instance
 
     claude = anthropic.Anthropic()
-    matrix = MatrixClient(MATRIX_HOMESERVER, MATRIX_ACCESS_TOKEN, MATRIX_ROOM_ID)
+    matrix = MatrixClient(
+        config.MATRIX_HOMESERVER,
+        config.MATRIX_ACCESS_TOKEN,
+        config.MATRIX_ROOM_ID,
+    )
+    ollama_client = OllamaClient(config.OLLAMA_URL, config.OLLAMA_MODEL)
 
-    loop = asyncio.new_event_loop()
+    mqtt_client_instance = create_mqtt_client(loop, claude, matrix, ollama_client)
-    loop_thread = Thread(target=loop.run_forever, daemon=True)
+    mqtt_client_instance.connect(config.MQTT_HOST, config.MQTT_PORT)
-    loop_thread.start()
 
-    start_health_server()
+    thread = Thread(target=mqtt_client_instance.loop_forever, daemon=True)
-
+    thread.start()
-    mqtt_client = create_mqtt_client(loop, claude, matrix)
+    logger.info("MQTT client started in background thread")
-    mqtt_client.connect(MQTT_HOST, MQTT_PORT)
-
-    def shutdown(signum, frame):
-        logger.info("Shutting down...")
-        mqtt_client.disconnect()
-        loop.call_soon_threadsafe(loop.stop)
-        sys.exit(0)
-
-    signal.signal(signal.SIGTERM, shutdown)
-    signal.signal(signal.SIGINT, shutdown)
-
-    mqtt_client.loop_forever()
 
 
+# --- FastAPI lifespan ---
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    """Startup and shutdown logic for the FastAPI application."""
+    logger.info("Starting frigate-notify v2")
+
+    # Initialize database
+    set_db_path(config.DB_PATH)
+    init_db()
+
+    # Start MQTT listener in background
+    loop = asyncio.get_event_loop()
+    start_mqtt(loop)
+
+    # Start periodic event cleanup
+    asyncio.create_task(cleanup_old_events())
+
+    yield
+
+    # Shutdown
+    logger.info("Shutting down frigate-notify v2")
+    if mqtt_client_instance:
+        mqtt_client_instance.disconnect()
+    close_connection()
+
+
+# --- FastAPI app ---
+app = FastAPI(
+    title="frigate-notify",
+    version="2.0.0",
+    lifespan=lifespan,
+)
+
+# Include API routers
+app.include_router(events_router)
+app.include_router(known_objects_router)
+app.include_router(settings_router)
+
+# Mount static files directory
+static_dir = Path(__file__).parent / "static"
+static_dir.mkdir(exist_ok=True)
+app.mount("/static", StaticFiles(directory=str(static_dir)), name="static")
+
+
+@app.get("/health")
+async def health():
+    """Health check endpoint."""
+    return {
+        "status": "ok",
+        "version": "2.0.0",
+        "mqtt_connected": mqtt_connected,
+        "events_processed": events_processed,
+        "last_event": last_event_time,
+    }
+
+
+@app.get("/")
+async def index():
+    """Serve the web UI index page."""
+    index_path = static_dir / "index.html"
+    if index_path.exists():
+        return FileResponse(str(index_path))
+    return JSONResponse(
+        {"message": "frigate-notify v2", "docs": "/docs"},
+        status_code=200,
+    )
+
+
+# --- Entrypoint ---
 if __name__ == "__main__":
-    main()
+    uvicorn.run(
+        "main:app",
+        host=config.SERVER_HOST,
+        port=config.SERVER_PORT,
+        log_level="info",
+    )

compose/hf-pdocker-01/frigate-notify/app/models.py

@@ -0,0 +1,95 @@
+"""Pydantic models for frigate-notify v2 API."""
+
+from datetime import datetime
+from typing import Optional
+
+from pydantic import BaseModel, Field
+
+
+# --- Known Objects ---
+
+
+class KnownObjectCreate(BaseModel):
+    """Request model for creating a known object."""
+
+    name: str = Field(..., min_length=1, max_length=255)
+    type: str = Field(..., pattern="^(person|vehicle|pet)$")
+    action: str = Field(default="quiet", pattern="^(quiet|suppress|alert)$")
+
+
+class KnownObjectUpdate(BaseModel):
+    """Request model for updating a known object."""
+
+    name: Optional[str] = Field(default=None, min_length=1, max_length=255)
+    type: Optional[str] = Field(default=None, pattern="^(person|vehicle|pet)$")
+    action: Optional[str] = Field(default=None, pattern="^(quiet|suppress|alert)$")
+
+
+class KnownObjectResponse(BaseModel):
+    """Response model for a known object."""
+
+    id: int
+    name: str
+    type: str
+    action: str
+    created_at: str
+    updated_at: str
+
+
+# --- Events ---
+
+
+class TagEventRequest(BaseModel):
+    """Request model for tagging an event with a known object.
+
+    Either provide known_object_id to link to an existing object,
+    or provide name + type to create a new known object.
+    """
+
+    known_object_id: Optional[int] = None
+    name: Optional[str] = Field(default=None, min_length=1, max_length=255)
+    type: Optional[str] = Field(default=None, pattern="^(person|vehicle|pet)$")
+
+
+class EventResponse(BaseModel):
+    """Response model for an event."""
+
+    id: int
+    frigate_event_id: str
+    camera: str
+    label: str
+    score: float
+    has_snapshot: bool = False
+    snapshot_base64: Optional[str] = None
+    match_status: str
+    matched_object_id: Optional[int] = None
+    matched_object_name: Optional[str] = None
+    match_confidence: Optional[float] = None
+    ai_description: Optional[str] = None
+    notified: bool
+    created_at: str
+
+
+# --- Settings ---
+
+
+class SettingsResponse(BaseModel):
+    """Response model for application settings."""
+
+    vision_backend: str
+    recognition_enabled: bool
+    event_retention_days: int
+
+
+# --- Stats ---
+
+
+class StatsResponse(BaseModel):
+    """Response model for application statistics."""
+
+    total_events: int = 0
+    known_matches: int = 0
+    unknown_events: int = 0
+    unreviewed: int = 0
+    known_objects_count: int = 0
+    events_today: int = 0

compose/hf-pdocker-01/frigate-notify/app/ollama_client.py

@@ -0,0 +1,132 @@
+"""Ollama vision LLM client for frigate-notify v2."""
+
+import base64
+import logging
+
+import aiohttp
+
+logger = logging.getLogger(__name__)
+
+
+class OllamaClient:
+    """Client for Ollama vision models (e.g., llava)."""
+
+    def __init__(self, base_url: str, model: str):
+        self.base_url = base_url.rstrip("/")
+        self.model = model
+
+    async def analyze_image(self, image_bytes: bytes, prompt: str) -> str | None:
+        """Send an image to Ollama for analysis.
+
+        Args:
+            image_bytes: Raw image bytes (JPEG).
+            prompt: Text prompt for the vision model.
+
+        Returns:
+            Response text or None on failure.
+        """
+        b64 = base64.b64encode(image_bytes).decode("utf-8")
+        payload = {
+            "model": self.model,
+            "prompt": prompt,
+            "images": [b64],
+            "stream": False,
+            "options": {"num_predict": 200},
+        }
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(
+                    f"{self.base_url}/api/generate",
+                    json=payload,
+                    timeout=aiohttp.ClientTimeout(total=30),
+                ) as resp:
+                    if resp.status == 200:
+                        data = await resp.json()
+                        text = data.get("response", "").strip()
+                        logger.info(
+                            "Ollama analysis complete: %d chars", len(text)
+                        )
+                        return text if text else None
+                    body = await resp.text()
+                    logger.error(
+                        "Ollama analyze_image failed %s: %s", resp.status, body
+                    )
+        except Exception:
+            logger.exception("Ollama analyze_image request failed")
+        return None
+
+    async def compare_images(
+        self,
+        image_bytes: bytes,
+        reference_bytes: bytes,
+        object_name: str,
+    ) -> bool | None:
+        """Compare two images to determine if they show the same object/person.
+
+        Args:
+            image_bytes: The new event image bytes.
+            reference_bytes: The reference (known) image bytes.
+            object_name: Name of the known object for context.
+
+        Returns:
+            True if same, False if different, None on failure/inconclusive.
+        """
+        b64_new = base64.b64encode(image_bytes).decode("utf-8")
+        b64_ref = base64.b64encode(reference_bytes).decode("utf-8")
+        prompt = (
+            f"Look at these two images. The first image is from a security camera. "
+            f"The second image is a reference photo of '{object_name}'. "
+            f"Are these the same person/vehicle/animal? "
+            f"Answer with ONLY 'yes' or 'no'."
+        )
+        payload = {
+            "model": self.model,
+            "prompt": prompt,
+            "images": [b64_new, b64_ref],
+            "stream": False,
+            "options": {"num_predict": 200},
+        }
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(
+                    f"{self.base_url}/api/generate",
+                    json=payload,
+                    timeout=aiohttp.ClientTimeout(total=30),
+                ) as resp:
+                    if resp.status == 200:
+                        data = await resp.json()
+                        text = data.get("response", "").strip().lower()
+                        logger.info("Ollama compare result: %s", text)
+                        if "yes" in text.split()[:3]:
+                            return True
+                        if "no" in text.split()[:3]:
+                            return False
+                        logger.warning(
+                            "Ollama compare inconclusive: %s", text
+                        )
+                        return None
+                    body = await resp.text()
+                    logger.error(
+                        "Ollama compare_images failed %s: %s",
+                        resp.status,
+                        body,
+                    )
+        except Exception:
+            logger.exception("Ollama compare_images request failed")
+        return None
+
+    async def is_available(self) -> bool:
+        """Check if Ollama is reachable and responding.
+
+        Returns:
+            True if Ollama responds with HTTP 200, False otherwise.
+        """
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get(
+                    f"{self.base_url}/api/tags",
+                    timeout=aiohttp.ClientTimeout(total=3),
+                ) as resp:
+                    return resp.status == 200
+        except Exception:
+            return False

compose/hf-pdocker-01/frigate-notify/app/recognition.py

@@ -0,0 +1,232 @@
+"""Recognition pipeline using CLIP embeddings with Ollama vision fallback."""
+
+import base64
+import logging
+import struct
+from typing import Optional
+
+import aiohttp
+import numpy as np
+
+from config import config
+from database import get_connection
+from ollama_client import OllamaClient
+
+logger = logging.getLogger(__name__)
+
+
+def embedding_to_bytes(embedding: list[float]) -> bytes:
+    """Pack a float32 embedding list into bytes for SQLite storage.
+
+    Args:
+        embedding: List of float values (typically 768-dimensional).
+
+    Returns:
+        Packed bytes (len(embedding) * 4 bytes).
+    """
+    return struct.pack(f"{len(embedding)}f", *embedding)
+
+
+def bytes_to_embedding(data: bytes) -> np.ndarray:
+    """Unpack bytes back into a float32 numpy array.
+
+    Args:
+        data: Packed bytes from embedding_to_bytes().
+
+    Returns:
+        Numpy array of float32 values.
+    """
+    count = len(data) // 4
+    values = struct.unpack(f"{count}f", data)
+    return np.array(values, dtype=np.float32)
+
+
+async def get_clip_embedding(image_bytes: bytes) -> list[float] | None:
+    """Get CLIP embedding for an image from the clip-service sidecar.
+
+    Args:
+        image_bytes: Raw image bytes (JPEG).
+
+    Returns:
+        List of float embedding values, or None on failure.
+    """
+    b64 = base64.b64encode(image_bytes).decode("utf-8")
+    try:
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                f"{config.CLIP_SERVICE_URL}/embed",
+                json={"image": b64},
+                timeout=aiohttp.ClientTimeout(total=10),
+            ) as resp:
+                if resp.status == 200:
+                    data = await resp.json()
+                    embedding = data.get("embedding")
+                    if embedding:
+                        logger.info(
+                            "CLIP embedding received: %d dimensions",
+                            len(embedding),
+                        )
+                        return embedding
+                    logger.warning("CLIP response missing embedding field")
+                else:
+                    body = await resp.text()
+                    logger.error(
+                        "CLIP embed failed %s: %s", resp.status, body
+                    )
+    except Exception:
+        logger.exception("CLIP embedding request failed")
+    return None
+
+
+async def find_best_match(
+    query_embedding: list[float],
+) -> tuple[int | None, float, str | None]:
+    """Find the best matching known object for a query embedding.
+
+    Loads all embeddings from the database, computes cosine similarity,
+    groups by known_object_id and takes the max score per object.
+
+    Args:
+        query_embedding: The query embedding to match against.
+
+    Returns:
+        Tuple of (best_object_id, best_score, best_name).
+        Returns (None, 0.0, None) if no embeddings exist.
+    """
+    conn = get_connection()
+    cursor = conn.execute(
+        """
+        SELECT e.id, e.known_object_id, e.embedding, ko.name
+        FROM embeddings e
+        JOIN known_objects ko ON e.known_object_id = ko.id
+        """
+    )
+    rows = cursor.fetchall()
+
+    if not rows:
+        return (None, 0.0, None)
+
+    query_vec = np.array(query_embedding, dtype=np.float32)
+    query_norm = np.linalg.norm(query_vec)
+    if query_norm == 0:
+        return (None, 0.0, None)
+    query_vec = query_vec / query_norm
+
+    # Group scores by known_object_id, keeping max per object
+    best_per_object: dict[int, tuple[float, str]] = {}
+
+    for row in rows:
+        stored_vec = bytes_to_embedding(row["embedding"])
+        stored_norm = np.linalg.norm(stored_vec)
+        if stored_norm == 0:
+            continue
+        stored_vec = stored_vec / stored_norm
+
+        similarity = float(np.dot(query_vec, stored_vec))
+        obj_id = row["known_object_id"]
+        obj_name = row["name"]
+
+        if obj_id not in best_per_object or similarity > best_per_object[obj_id][0]:
+            best_per_object[obj_id] = (similarity, obj_name)
+
+    if not best_per_object:
+        return (None, 0.0, None)
+
+    best_id = max(best_per_object, key=lambda k: best_per_object[k][0])
+    best_score, best_name = best_per_object[best_id]
+
+    return (best_id, best_score, best_name)
+
+
+async def recognize_event(
+    image_bytes: bytes,
+    ollama_client: Optional[OllamaClient] = None,
+) -> tuple[str, int | None, float, str | None]:
+    """Full recognition pipeline for a Frigate event image.
+
+    Steps:
+        1. Get CLIP embedding for the image.
+        2. Find the best matching known object.
+        3. High confidence (>= threshold_high): return "known".
+        4. Low confidence (< threshold_low): return "unknown".
+        5. Ambiguous range: use Ollama vision LLM to confirm/deny.
+        6. If LLM unavailable or inconclusive: return "ambiguous".
+        7. If no embedding could be obtained: return "unreviewed".
+
+    Args:
+        image_bytes: Raw image bytes (JPEG).
+        ollama_client: Optional OllamaClient for ambiguous case fallback.
+
+    Returns:
+        Tuple of (match_status, object_id, score, object_name).
+        match_status is one of: "known", "unknown", "ambiguous", "unreviewed".
+    """
+    # Step 1: Get CLIP embedding
+    embedding = await get_clip_embedding(image_bytes)
+    if embedding is None:
+        logger.warning("Could not get CLIP embedding, returning unreviewed")
+        return ("unreviewed", None, 0.0, None)
+
+    # Step 2: Find best match
+    best_id, best_score, best_name = await find_best_match(embedding)
+
+    # No embeddings in DB at all
+    if best_id is None:
+        return ("unknown", None, 0.0, None)
+
+    high_threshold = config.RECOGNITION_THRESHOLD_HIGH
+    low_threshold = config.RECOGNITION_THRESHOLD_LOW
+
+    # Step 3: High confidence match
+    if best_score >= high_threshold:
+        logger.info(
+            "High confidence match: %s (%.3f)", best_name, best_score
+        )
+        return ("known", best_id, best_score, best_name)
+
+    # Step 4: Low confidence - clearly not a match
+    if best_score < low_threshold:
+        logger.info("Low confidence, no match (%.3f)", best_score)
+        return ("unknown", None, best_score, None)
+
+    # Step 5: Ambiguous range - try Ollama vision LLM
+    if ollama_client is not None:
+        logger.info(
+            "Ambiguous score %.3f for %s, trying Ollama comparison",
+            best_score,
+            best_name,
+        )
+        # Get a reference thumbnail from the embeddings table
+        conn = get_connection()
+        cursor = conn.execute(
+            """
+            SELECT thumbnail FROM embeddings
+            WHERE known_object_id = ? AND thumbnail IS NOT NULL
+            LIMIT 1
+            """,
+            (best_id,),
+        )
+        ref_row = cursor.fetchone()
+        if ref_row and ref_row["thumbnail"] is not None:
+            result = await ollama_client.compare_images(
+                image_bytes, ref_row["thumbnail"], best_name
+            )
+            if result is True:
+                logger.info(
+                    "Ollama confirmed match: %s (%.3f)",
+                    best_name,
+                    best_score,
+                )
+                return ("known", best_id, best_score, best_name)
+            elif result is False:
+                logger.info(
+                    "Ollama denied match: %s (%.3f)", best_name, best_score
+                )
+                return ("unknown", None, best_score, None)
+            # result is None: inconclusive, fall through to ambiguous
+
+    # Step 6: LLM unavailable or inconclusive
+    logger.info(
+        "Ambiguous match: %s (%.3f)", best_name, best_score
+    )
+    return ("ambiguous", best_id, best_score, best_name)

compose/hf-pdocker-01/frigate-notify/app/requirements.txt

@@ -1,3 +1,7 @@
 paho-mqtt==2.1.0
 anthropic>=0.40.0
 aiohttp>=3.9.0
+fastapi>=0.115.0
+uvicorn[standard]>=0.34.0
+python-multipart>=0.0.18
+numpy>=1.26.0

compose/hf-pdocker-01/frigate-notify/app/routes/events.py

@@ -0,0 +1,226 @@
+"""Event API endpoints for frigate-notify v2."""
+
+import base64
+import logging
+from typing import Optional
+
+from fastapi import APIRouter, HTTPException, Query
+from fastapi.responses import Response
+
+from database import get_connection
+from models import EventResponse, TagEventRequest
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/events", tags=["events"])
+
+
+@router.get("", response_model=list[EventResponse])
+async def list_events(
+    camera: Optional[str] = Query(default=None),
+    label: Optional[str] = Query(default=None),
+    status: Optional[str] = Query(default=None),
+    limit: int = Query(default=50, ge=1, le=500),
+    offset: int = Query(default=0, ge=0),
+):
+    """List events with optional filters and pagination.
+
+    Returns events without snapshot/embedding BLOBs but with has_snapshot bool.
+    Joins to known_objects for matched_object_name.
+    """
+    conn = get_connection()
+
+    query = """
+        SELECT
+            e.id, e.frigate_event_id, e.camera, e.label, e.score,
+            CASE WHEN e.snapshot IS NOT NULL THEN 1 ELSE 0 END AS has_snapshot,
+            e.match_status, e.matched_object_id,
+            ko.name AS matched_object_name,
+            e.match_confidence, e.ai_description, e.notified, e.created_at
+        FROM events e
+        LEFT JOIN known_objects ko ON e.matched_object_id = ko.id
+    """
+    conditions = []
+    params: list = []
+
+    if camera:
+        conditions.append("e.camera = ?")
+        params.append(camera)
+    if label:
+        conditions.append("e.label = ?")
+        params.append(label)
+    if status:
+        conditions.append("e.match_status = ?")
+        params.append(status)
+
+    if conditions:
+        query += " WHERE " + " AND ".join(conditions)
+
+    query += " ORDER BY e.created_at DESC LIMIT ? OFFSET ?"
+    params.extend([limit, offset])
+
+    cursor = conn.execute(query, params)
+    rows = cursor.fetchall()
+
+    return [
+        EventResponse(
+            id=row["id"],
+            frigate_event_id=row["frigate_event_id"],
+            camera=row["camera"],
+            label=row["label"],
+            score=row["score"],
+            has_snapshot=bool(row["has_snapshot"]),
+            match_status=row["match_status"],
+            matched_object_id=row["matched_object_id"],
+            matched_object_name=row["matched_object_name"],
+            match_confidence=row["match_confidence"],
+            ai_description=row["ai_description"],
+            notified=bool(row["notified"]),
+            created_at=row["created_at"],
+        )
+        for row in rows
+    ]
+
+
+@router.get("/{event_id}", response_model=EventResponse)
+async def get_event(event_id: int):
+    """Get a single event detail. Includes base64-encoded snapshot if exists."""
+    conn = get_connection()
+    cursor = conn.execute(
+        """
+        SELECT
+            e.id, e.frigate_event_id, e.camera, e.label, e.score,
+            e.snapshot,
+            CASE WHEN e.snapshot IS NOT NULL THEN 1 ELSE 0 END AS has_snapshot,
+            e.match_status, e.matched_object_id,
+            ko.name AS matched_object_name,
+            e.match_confidence, e.ai_description, e.notified, e.created_at
+        FROM events e
+        LEFT JOIN known_objects ko ON e.matched_object_id = ko.id
+        WHERE e.id = ?
+        """,
+        (event_id,),
+    )
+    row = cursor.fetchone()
+    if not row:
+        raise HTTPException(status_code=404, detail="Event not found")
+
+    snapshot_b64 = None
+    if row["snapshot"] is not None:
+        snapshot_b64 = base64.b64encode(row["snapshot"]).decode("ascii")
+
+    return EventResponse(
+        id=row["id"],
+        frigate_event_id=row["frigate_event_id"],
+        camera=row["camera"],
+        label=row["label"],
+        score=row["score"],
+        has_snapshot=bool(row["has_snapshot"]),
+        snapshot_base64=snapshot_b64,
+        match_status=row["match_status"],
+        matched_object_id=row["matched_object_id"],
+        matched_object_name=row["matched_object_name"],
+        match_confidence=row["match_confidence"],
+        ai_description=row["ai_description"],
+        notified=bool(row["notified"]),
+        created_at=row["created_at"],
+    )
+
+
+@router.get("/{event_id}/snapshot")
+async def get_event_snapshot(event_id: int):
+    """Return raw JPEG snapshot for an event. 404 if no snapshot."""
+    conn = get_connection()
+    cursor = conn.execute(
+        "SELECT snapshot FROM events WHERE id = ?",
+        (event_id,),
+    )
+    row = cursor.fetchone()
+    if not row:
+        raise HTTPException(status_code=404, detail="Event not found")
+    if row["snapshot"] is None:
+        raise HTTPException(status_code=404, detail="No snapshot available")
+
+    return Response(content=row["snapshot"], media_type="image/jpeg")
+
+
+@router.post("/{event_id}/tag")
+async def tag_event(event_id: int, body: TagEventRequest):
+    """Tag an event as a known object.
+
+    Either provide known_object_id to link to an existing object,
+    or provide name + type to create a new known object.
+    If the event has an embedding, store it in the embeddings table.
+    """
+    conn = get_connection()
+
+    # Verify event exists
+    cursor = conn.execute(
+        "SELECT id, embedding FROM events WHERE id = ?",
+        (event_id,),
+    )
+    event_row = cursor.fetchone()
+    if not event_row:
+        raise HTTPException(status_code=404, detail="Event not found")
+
+    known_object_id = body.known_object_id
+
+    if known_object_id is not None:
+        # Verify the known object exists
+        cursor = conn.execute(
+            "SELECT id FROM known_objects WHERE id = ?",
+            (known_object_id,),
+        )
+        if not cursor.fetchone():
+            raise HTTPException(status_code=404, detail="Known object not found")
+    elif body.name and body.type:
+        # Create a new known object
+        cursor = conn.execute(
+            "INSERT INTO known_objects (name, type) VALUES (?, ?)",
+            (body.name, body.type),
+        )
+        known_object_id = cursor.lastrowid
+        conn.commit()
+    else:
+        raise HTTPException(
+            status_code=400,
+            detail="Must provide either known_object_id or both name and type",
+        )
+
+    # If event has an embedding, store it in the embeddings table
+    if event_row["embedding"] is not None:
+        conn.execute(
+            "INSERT INTO embeddings (known_object_id, embedding) VALUES (?, ?)",
+            (known_object_id, event_row["embedding"]),
+        )
+
+    # Update event
+    conn.execute(
+        """UPDATE events
+           SET match_status = 'known',
+               matched_object_id = ?,
+               match_confidence = 1.0
+           WHERE id = ?""",
+        (known_object_id, event_id),
+    )
+    conn.commit()
+
+    return {"status": "ok", "matched_object_id": known_object_id}
+
+
+@router.post("/{event_id}/dismiss")
+async def dismiss_event(event_id: int):
+    """Set event match_status to 'unknown'."""
+    conn = get_connection()
+
+    cursor = conn.execute("SELECT id FROM events WHERE id = ?", (event_id,))
+    if not cursor.fetchone():
+        raise HTTPException(status_code=404, detail="Event not found")
+
+    conn.execute(
+        "UPDATE events SET match_status = 'unknown' WHERE id = ?",
+        (event_id,),
+    )
+    conn.commit()
+
+    return {"status": "ok"}

compose/hf-pdocker-01/frigate-notify/app/routes/known_objects.py

@@ -0,0 +1,177 @@
+"""Known objects API endpoints for frigate-notify v2."""
+
+import logging
+from typing import Optional
+
+from fastapi import APIRouter, HTTPException, Query
+from fastapi.responses import Response
+
+from database import get_connection
+from models import KnownObjectResponse, KnownObjectUpdate
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api/known-objects", tags=["known-objects"])
+
+
+@router.get("")
+async def list_known_objects(
+    type: Optional[str] = Query(default=None, pattern="^(person|vehicle|pet)$"),
+):
+    """List all known objects with embedding_count. Optional type filter."""
+    conn = get_connection()
+
+    query = """
+        SELECT
+            ko.id, ko.name, ko.type, ko.action,
+            ko.created_at, ko.updated_at,
+            COUNT(e.id) AS embedding_count
+        FROM known_objects ko
+        LEFT JOIN embeddings e ON ko.id = e.known_object_id
+    """
+    params: list = []
+
+    if type:
+        query += " WHERE ko.type = ?"
+        params.append(type)
+
+    query += " GROUP BY ko.id ORDER BY ko.name"
+
+    cursor = conn.execute(query, params)
+    rows = cursor.fetchall()
+
+    return [
+        {
+            "id": row["id"],
+            "name": row["name"],
+            "type": row["type"],
+            "action": row["action"],
+            "created_at": row["created_at"],
+            "updated_at": row["updated_at"],
+            "embedding_count": row["embedding_count"],
+        }
+        for row in rows
+    ]
+
+
+@router.get("/{object_id}")
+async def get_known_object(object_id: int):
+    """Get a single known object with list of its embeddings (id, created_at only)."""
+    conn = get_connection()
+
+    cursor = conn.execute(
+        "SELECT id, name, type, action, created_at, updated_at FROM known_objects WHERE id = ?",
+        (object_id,),
+    )
+    row = cursor.fetchone()
+    if not row:
+        raise HTTPException(status_code=404, detail="Known object not found")
+
+    # Get embeddings list
+    emb_cursor = conn.execute(
+        "SELECT id, created_at FROM embeddings WHERE known_object_id = ? ORDER BY created_at",
+        (object_id,),
+    )
+    embeddings = [
+        {"id": e["id"], "created_at": e["created_at"]} for e in emb_cursor.fetchall()
+    ]
+
+    return {
+        "id": row["id"],
+        "name": row["name"],
+        "type": row["type"],
+        "action": row["action"],
+        "created_at": row["created_at"],
+        "updated_at": row["updated_at"],
+        "embeddings": embeddings,
+    }
+
+
+@router.get("/{object_id}/thumbnails/{embedding_id}")
+async def get_embedding_thumbnail(object_id: int, embedding_id: int):
+    """Return raw JPEG thumbnail from embeddings table."""
+    conn = get_connection()
+
+    cursor = conn.execute(
+        "SELECT thumbnail FROM embeddings WHERE id = ? AND known_object_id = ?",
+        (embedding_id, object_id),
+    )
+    row = cursor.fetchone()
+    if not row:
+        raise HTTPException(status_code=404, detail="Embedding not found")
+    if row["thumbnail"] is None:
+        raise HTTPException(status_code=404, detail="No thumbnail available")
+
+    return Response(content=row["thumbnail"], media_type="image/jpeg")
+
+
+@router.put("/{object_id}")
+async def update_known_object(object_id: int, body: KnownObjectUpdate):
+    """Update name/type/action for a known object. Sets updated_at."""
+    conn = get_connection()
+
+    cursor = conn.execute(
+        "SELECT id FROM known_objects WHERE id = ?",
+        (object_id,),
+    )
+    if not cursor.fetchone():
+        raise HTTPException(status_code=404, detail="Known object not found")
+
+    updates = []
+    params: list = []
+
+    if body.name is not None:
+        updates.append("name = ?")
+        params.append(body.name)
+    if body.type is not None:
+        updates.append("type = ?")
+        params.append(body.type)
+    if body.action is not None:
+        updates.append("action = ?")
+        params.append(body.action)
+
+    if not updates:
+        raise HTTPException(status_code=400, detail="No fields to update")
+
+    updates.append("updated_at = CURRENT_TIMESTAMP")
+    params.append(object_id)
+
+    conn.execute(
+        f"UPDATE known_objects SET {', '.join(updates)} WHERE id = ?",
+        params,
+    )
+    conn.commit()
+
+    # Return the updated object
+    cursor = conn.execute(
+        "SELECT id, name, type, action, created_at, updated_at FROM known_objects WHERE id = ?",
+        (object_id,),
+    )
+    row = cursor.fetchone()
+
+    return KnownObjectResponse(
+        id=row["id"],
+        name=row["name"],
+        type=row["type"],
+        action=row["action"],
+        created_at=row["created_at"],
+        updated_at=row["updated_at"],
+    )
+
+
+@router.delete("/{object_id}")
+async def delete_known_object(object_id: int):
+    """Delete a known object. Embeddings cascade delete automatically."""
+    conn = get_connection()
+
+    cursor = conn.execute(
+        "SELECT id FROM known_objects WHERE id = ?",
+        (object_id,),
+    )
+    if not cursor.fetchone():
+        raise HTTPException(status_code=404, detail="Known object not found")
+
+    conn.execute("DELETE FROM known_objects WHERE id = ?", (object_id,))
+    conn.commit()
+
+    return {"status": "ok"}

compose/hf-pdocker-01/frigate-notify/app/routes/settings.py

@@ -0,0 +1,78 @@
+"""Settings and stats API endpoints for frigate-notify v2."""
+
+import logging
+from datetime import date
+
+from fastapi import APIRouter
+
+from config import config
+from database import get_connection
+from models import StatsResponse
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix="/api", tags=["settings"])
+
+
+@router.get("/settings")
+async def get_settings():
+    """Return all settings from DB plus runtime config values."""
+    conn = get_connection()
+    cursor = conn.execute("SELECT key, value FROM settings")
+    db_settings = {row["key"]: row["value"] for row in cursor.fetchall()}
+
+    # Merge with runtime config values
+    return {
+        **db_settings,
+        "recognition_threshold_high": config.RECOGNITION_THRESHOLD_HIGH,
+        "recognition_threshold_low": config.RECOGNITION_THRESHOLD_LOW,
+        "rate_limit_seconds": config.RATE_LIMIT_SECONDS,
+        "allowed_labels": list(config.ALLOWED_LABELS),
+        "min_score": config.MIN_SCORE,
+    }
+
+
+@router.put("/settings")
+async def update_settings(body: dict):
+    """Accept dict body, upsert each key/value into settings table."""
+    conn = get_connection()
+    for key, value in body.items():
+        conn.execute(
+            "INSERT INTO settings (key, value) VALUES (?, ?) "
+            "ON CONFLICT(key) DO UPDATE SET value = excluded.value",
+            (key, str(value)),
+        )
+    conn.commit()
+    return {"status": "ok"}
+
+
+@router.get("/stats", response_model=StatsResponse)
+async def get_stats():
+    """Return event and object counts."""
+    conn = get_connection()
+
+    total = conn.execute("SELECT COUNT(*) FROM events").fetchone()[0]
+    known = conn.execute(
+        "SELECT COUNT(*) FROM events WHERE match_status = 'known'"
+    ).fetchone()[0]
+    unknown = conn.execute(
+        "SELECT COUNT(*) FROM events WHERE match_status = 'unknown'"
+    ).fetchone()[0]
+    unreviewed = conn.execute(
+        "SELECT COUNT(*) FROM events WHERE match_status = 'unreviewed'"
+    ).fetchone()[0]
+    objects_count = conn.execute("SELECT COUNT(*) FROM known_objects").fetchone()[0]
+    today = date.today().isoformat()
+    events_today = conn.execute(
+        "SELECT COUNT(*) FROM events WHERE DATE(created_at) = ?",
+        (today,),
+    ).fetchone()[0]
+
+    return StatsResponse(
+        total_events=total,
+        known_matches=known,
+        unknown_events=unknown,
+        unreviewed=unreviewed,
+        known_objects_count=objects_count,
+        events_today=events_today,
+    )

compose/hf-pdocker-01/frigate-notify/app/static/app.js

@@ -0,0 +1,578 @@
+// Frigate Alerts - Web UI
+(function () {
+    'use strict';
+
+    let currentView = 'dashboard';
+    let currentTagEventId = null;
+    let refreshTimer = null;
+    let knownObjectsCache = [];
+
+    // --- Initialization ---
+
+    document.addEventListener('DOMContentLoaded', () => {
+        setupNavigation();
+        setupTagModal();
+        loadView('dashboard');
+        loadStats();
+    });
+
+    // --- Navigation ---
+
+    function setupNavigation() {
+        document.querySelectorAll('.sidebar-item').forEach(item => {
+            item.addEventListener('click', (e) => {
+                e.preventDefault();
+                const view = item.dataset.view;
+                loadView(view);
+            });
+        });
+    }
+
+    function setActiveNav(view) {
+        document.querySelectorAll('.sidebar-item').forEach(item => {
+            item.classList.toggle('active', item.dataset.view === view);
+        });
+    }
+
+    // --- View Router ---
+
+    function loadView(view) {
+        currentView = view;
+        setActiveNav(view);
+        clearAutoRefresh();
+
+        switch (view) {
+            case 'dashboard':
+                loadDashboard();
+                startAutoRefresh();
+                break;
+            case 'review':
+                loadReview();
+                startAutoRefresh();
+                break;
+            case 'known':
+                loadKnown();
+                break;
+            case 'settings':
+                loadSettings();
+                break;
+        }
+    }
+
+    // --- Auto Refresh ---
+
+    function startAutoRefresh() {
+        refreshTimer = setInterval(() => {
+            if (currentView === 'dashboard') {
+                loadDashboard();
+            } else if (currentView === 'review') {
+                loadReview();
+            }
+            loadStats();
+        }, 30000);
+    }
+
+    function clearAutoRefresh() {
+        if (refreshTimer) {
+            clearInterval(refreshTimer);
+            refreshTimer = null;
+        }
+    }
+
+    // --- Dashboard View ---
+
+    function loadDashboard() {
+        const content = document.getElementById('main-content');
+        content.innerHTML = '<div class="loading">Loading events</div>';
+
+        fetch('/api/events?limit=50')
+            .then(r => r.json())
+            .then(events => {
+                if (!events.length) {
+                    content.innerHTML = `
+                        <h1>Dashboard</h1>
+                        <div class="empty-state">
+                            <p>No events recorded yet.</p>
+                            <p>Events will appear here when Frigate detects objects.</p>
+                        </div>`;
+                    return;
+                }
+                content.innerHTML = `
+                    <div class="page-header">
+                        <h1>Dashboard</h1>
+                    </div>
+                    <div class="filters">
+                        <select id="filter-camera" onchange="window._applyFilters()">
+                            <option value="">All Cameras</option>
+                        </select>
+                        <select id="filter-label" onchange="window._applyFilters()">
+                            <option value="">All Labels</option>
+                        </select>
+                        <select id="filter-status" onchange="window._applyFilters()">
+                            <option value="">All Statuses</option>
+                            <option value="known">Known</option>
+                            <option value="unknown">Unknown</option>
+                            <option value="ambiguous">Ambiguous</option>
+                            <option value="unreviewed">Unreviewed</option>
+                        </select>
+                    </div>
+                    <div id="events-list"></div>`;
+
+                populateFilterOptions(events);
+                renderEvents(events);
+            })
+            .catch(err => {
+                content.innerHTML = `<h1>Dashboard</h1><div class="empty-state"><p>Error loading events: ${err.message}</p></div>`;
+            });
+    }
+
+    function populateFilterOptions(events) {
+        const cameras = [...new Set(events.map(e => e.camera).filter(Boolean))].sort();
+        const labels = [...new Set(events.map(e => e.label).filter(Boolean))].sort();
+
+        const cameraSelect = document.getElementById('filter-camera');
+        const labelSelect = document.getElementById('filter-label');
+
+        if (cameraSelect) {
+            cameras.forEach(c => {
+                const opt = document.createElement('option');
+                opt.value = c;
+                opt.textContent = c;
+                cameraSelect.appendChild(opt);
+            });
+        }
+
+        if (labelSelect) {
+            labels.forEach(l => {
+                const opt = document.createElement('option');
+                opt.value = l;
+                opt.textContent = l;
+                labelSelect.appendChild(opt);
+            });
+        }
+    }
+
+    // Expose filter function globally for inline onchange handlers
+    window._applyFilters = function () {
+        const camera = document.getElementById('filter-camera')?.value || '';
+        const label = document.getElementById('filter-label')?.value || '';
+        const status = document.getElementById('filter-status')?.value || '';
+
+        let url = '/api/events?limit=50';
+        if (camera) url += `&camera=${encodeURIComponent(camera)}`;
+        if (label) url += `&label=${encodeURIComponent(label)}`;
+        if (status) url += `&status=${encodeURIComponent(status)}`;
+
+        fetch(url)
+            .then(r => r.json())
+            .then(events => renderEvents(events))
+            .catch(err => console.error('Filter error:', err));
+    };
+
+    function renderEvents(events) {
+        const container = document.getElementById('events-list');
+        if (!container) return;
+
+        if (!events.length) {
+            container.innerHTML = '<div class="empty-state"><p>No events match the current filters.</p></div>';
+            return;
+        }
+
+        container.innerHTML = events.map(event => `
+            <div class="event-card" data-event-id="${event.id}">
+                <img src="/api/events/${event.id}/snapshot"
+                     onerror="this.style.display='none'"
+                     alt="${event.label || 'snapshot'}">
+                <div class="event-info">
+                    <div class="event-header">
+                        <span>
+                            <span class="event-camera">${escapeHtml(event.camera || 'unknown')}</span>
+                            <span class="event-label"> &mdash; ${escapeHtml(event.label || 'unknown')}</span>
+                            <span class="event-score">(${(event.score * 100).toFixed(0)}%)</span>
+                        </span>
+                        <span class="badge badge-${event.match_status || 'unreviewed'}">${event.match_status || 'unreviewed'}</span>
+                    </div>
+                    <div class="event-time">${formatTime(event.created_at)}</div>
+                    ${event.ai_description ? `<div class="event-description">${escapeHtml(event.ai_description)}</div>` : ''}
+                    ${event.matched_object_name ? `<div class="event-label">Identified as: <strong>${escapeHtml(event.matched_object_name)}</strong></div>` : ''}
+                    <div class="event-actions">
+                        <button class="btn btn-primary btn-sm" onclick="window._tagEvent('${event.id}')">Tag</button>
+                        <button class="btn btn-sm" onclick="window._dismissEvent('${event.id}')">Dismiss</button>
+                    </div>
+                </div>
+            </div>
+        `).join('');
+    }
+
+    // --- Review View ---
+
+    function loadReview() {
+        const content = document.getElementById('main-content');
+        content.innerHTML = '<div class="loading">Loading review queue</div>';
+
+        fetch('/api/events?limit=50&status=unreviewed')
+            .then(r => r.json())
+            .then(events => {
+                if (!events.length) {
+                    content.innerHTML = `
+                        <h1>Review Queue</h1>
+                        <div class="empty-state">
+                            <p>No events to review.</p>
+                            <p>All events have been reviewed or dismissed.</p>
+                        </div>`;
+                    return;
+                }
+                content.innerHTML = `
+                    <div class="page-header">
+                        <h1>Review Queue</h1>
+                        <span>${events.length} event${events.length !== 1 ? 's' : ''} to review</span>
+                    </div>
+                    <div id="events-list"></div>`;
+                renderEvents(events);
+            })
+            .catch(err => {
+                content.innerHTML = `<h1>Review Queue</h1><div class="empty-state"><p>Error loading events: ${err.message}</p></div>`;
+            });
+    }
+
+    // --- Known Objects View ---
+
+    function loadKnown() {
+        const content = document.getElementById('main-content');
+        content.innerHTML = '<div class="loading">Loading known objects</div>';
+
+        fetch('/api/known-objects')
+            .then(r => r.json())
+            .then(objects => {
+                knownObjectsCache = objects;
+
+                if (!objects.length) {
+                    content.innerHTML = `
+                        <h1>Known Objects</h1>
+                        <div class="empty-state">
+                            <p>No known objects registered.</p>
+                            <p>Tag events from the Dashboard to add known objects.</p>
+                        </div>`;
+                    return;
+                }
+
+                content.innerHTML = `
+                    <div class="page-header">
+                        <h1>Known Objects</h1>
+                        <span>${objects.length} object${objects.length !== 1 ? 's' : ''}</span>
+                    </div>
+                    <div class="known-grid">
+                        ${objects.map(obj => `
+                            <div class="known-card" data-object-id="${obj.id}">
+                                <h4>${escapeHtml(obj.name)}</h4>
+                                <span class="type-badge">${escapeHtml(obj.type)}</span>
+                                <div class="embedding-count">${obj.embedding_count || 0} embedding${(obj.embedding_count || 0) !== 1 ? 's' : ''}</div>
+                                ${obj.samples && obj.samples.length ? `
+                                    <div class="known-card-samples">
+                                        ${obj.samples.map(s => `<img src="${s}" onerror="this.style.display='none'" alt="sample">`).join('')}
+                                    </div>
+                                ` : ''}
+                                <div class="known-card-actions">
+                                    <button class="btn btn-danger btn-sm" onclick="window._deleteKnownObject('${obj.id}', '${escapeHtml(obj.name)}')">Delete</button>
+                                </div>
+                            </div>
+                        `).join('')}
+                    </div>`;
+            })
+            .catch(err => {
+                content.innerHTML = `<h1>Known Objects</h1><div class="empty-state"><p>Error loading objects: ${err.message}</p></div>`;
+            });
+    }
+
+    // --- Settings View ---
+
+    function loadSettings() {
+        const content = document.getElementById('main-content');
+        content.innerHTML = '<div class="loading">Loading settings</div>';
+
+        fetch('/api/settings')
+            .then(r => r.json())
+            .then(settings => {
+                content.innerHTML = `
+                    <h1>Settings</h1>
+                    <div class="settings-form">
+                        <div class="settings-section">
+                            <h3>Vision Analysis</h3>
+                            <div class="form-group">
+                                <label>Vision Backend</label>
+                                <select id="setting-vision-backend">
+                                    <option value="haiku" ${settings.vision_backend === 'haiku' ? 'selected' : ''}>Claude Haiku</option>
+                                    <option value="ollama" ${settings.vision_backend === 'ollama' ? 'selected' : ''}>Ollama (Local)</option>
+                                    <option value="both" ${settings.vision_backend === 'both' ? 'selected' : ''}>Both (Haiku + Ollama)</option>
+                                </select>
+                                <div class="help-text">Which AI backend to use for snapshot analysis</div>
+                            </div>
+                        </div>
+
+                        <div class="settings-section">
+                            <h3>Recognition</h3>
+                            <div class="form-group">
+                                <label class="checkbox-label">
+                                    <input type="checkbox" id="setting-recognition-enabled" ${settings.recognition_enabled ? 'checked' : ''}>
+                                    Enable object recognition
+                                </label>
+                                <div class="help-text">Match detected objects against known objects database</div>
+                            </div>
+                        </div>
+
+                        <div class="settings-section">
+                            <h3>Data Retention</h3>
+                            <div class="form-group">
+                                <label>Event Retention (days)</label>
+                                <input type="number" id="setting-retention-days" value="${settings.event_retention_days || 30}" min="1" max="365">
+                                <div class="help-text">How long to keep event records and snapshots</div>
+                            </div>
+                        </div>
+
+                        <div class="form-group">
+                            <button class="btn btn-primary" onclick="window._saveSettings()">Save Settings</button>
+                        </div>
+                    </div>`;
+            })
+            .catch(err => {
+                content.innerHTML = `<h1>Settings</h1><div class="empty-state"><p>Error loading settings: ${err.message}</p></div>`;
+            });
+    }
+
+    window._saveSettings = function () {
+        const settings = {
+            vision_backend: document.getElementById('setting-vision-backend').value,
+            recognition_enabled: document.getElementById('setting-recognition-enabled').checked,
+            event_retention_days: parseInt(document.getElementById('setting-retention-days').value, 10)
+        };
+
+        fetch('/api/settings', {
+            method: 'PUT',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify(settings)
+        })
+            .then(r => {
+                if (!r.ok) throw new Error('Failed to save settings');
+                return r.json();
+            })
+            .then(() => showToast('Settings saved', 'success'))
+            .catch(err => showToast('Error: ' + err.message, 'error'));
+    };
+
+    // --- Stats ---
+
+    function loadStats() {
+        fetch('/api/stats')
+            .then(r => r.json())
+            .then(stats => {
+                const el = document.getElementById('stats-summary');
+                if (!el) return;
+
+                el.innerHTML = `
+                    <div class="stat-item">
+                        <span>Total Events</span>
+                        <span class="stat-value">${stats.total_events || 0}</span>
+                    </div>
+                    <div class="stat-item">
+                        <span>Unreviewed</span>
+                        <span class="stat-value">${stats.unreviewed || 0}</span>
+                    </div>
+                    <div class="stat-item">
+                        <span>Known</span>
+                        <span class="stat-value">${stats.known_matches || 0}</span>
+                    </div>
+                    <div class="stat-item">
+                        <span>Unknown</span>
+                        <span class="stat-value">${stats.unknown_events || 0}</span>
+                    </div>
+                    <div class="stat-item">
+                        <span>Known Objects</span>
+                        <span class="stat-value">${stats.known_objects_count || 0}</span>
+                    </div>`;
+            })
+            .catch(() => {
+                // Stats are non-critical, silently fail
+            });
+    }
+
+    // --- Tag Modal ---
+
+    function setupTagModal() {
+        document.getElementById('tag-cancel').addEventListener('click', closeTagModal);
+        document.getElementById('tag-save').addEventListener('click', saveTag);
+
+        document.getElementById('tag-existing-object').addEventListener('change', (e) => {
+            const newFields = document.getElementById('tag-new-fields');
+            newFields.style.display = e.target.value ? 'none' : 'block';
+        });
+
+        // Close modal on backdrop click
+        document.getElementById('tag-modal').addEventListener('click', (e) => {
+            if (e.target === document.getElementById('tag-modal')) {
+                closeTagModal();
+            }
+        });
+
+        // Close modal on Escape key
+        document.addEventListener('keydown', (e) => {
+            if (e.key === 'Escape') closeTagModal();
+        });
+    }
+
+    window._tagEvent = function (eventId) {
+        currentTagEventId = eventId;
+
+        // Show snapshot in modal
+        const snapshotContainer = document.getElementById('tag-modal-snapshot');
+        snapshotContainer.innerHTML = `<img src="/api/events/${eventId}/snapshot" onerror="this.style.display='none'" alt="snapshot">`;
+
+        // Load known objects for dropdown
+        fetch('/api/known-objects')
+            .then(r => r.json())
+            .then(objects => {
+                knownObjectsCache = objects;
+                const select = document.getElementById('tag-existing-object');
+                select.innerHTML = '<option value="">-- Create new --</option>';
+                objects.forEach(obj => {
+                    const opt = document.createElement('option');
+                    opt.value = obj.id;
+                    opt.textContent = `${obj.name} (${obj.type})`;
+                    select.appendChild(opt);
+                });
+            })
+            .catch(() => { });
+
+        // Reset form
+        document.getElementById('tag-name').value = '';
+        document.getElementById('tag-type').value = 'person';
+        document.getElementById('tag-new-fields').style.display = 'block';
+        document.getElementById('tag-existing-object').value = '';
+
+        document.getElementById('tag-modal').classList.remove('hidden');
+    };
+
+    function closeTagModal() {
+        document.getElementById('tag-modal').classList.add('hidden');
+        currentTagEventId = null;
+    }
+
+    function saveTag() {
+        if (!currentTagEventId) return;
+
+        const existingId = document.getElementById('tag-existing-object').value;
+        let body;
+
+        if (existingId) {
+            body = { known_object_id: existingId };
+        } else {
+            const name = document.getElementById('tag-name').value.trim();
+            const type = document.getElementById('tag-type').value;
+            if (!name) {
+                showToast('Please enter a name', 'error');
+                return;
+            }
+            body = { name: name, type: type };
+        }
+
+        fetch(`/api/events/${currentTagEventId}/tag`, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify(body)
+        })
+            .then(r => {
+                if (!r.ok) throw new Error('Failed to tag event');
+                return r.json();
+            })
+            .then(() => {
+                showToast('Event tagged successfully', 'success');
+                closeTagModal();
+                loadView(currentView);
+                loadStats();
+            })
+            .catch(err => showToast('Error: ' + err.message, 'error'));
+    }
+
+    // --- Event Actions ---
+
+    window._dismissEvent = function (eventId) {
+        fetch(`/api/events/${eventId}/dismiss`, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' }
+        })
+            .then(r => {
+                if (!r.ok) throw new Error('Failed to dismiss event');
+                return r.json();
+            })
+            .then(() => {
+                showToast('Event dismissed', 'success');
+                // Remove card from DOM for immediate feedback
+                const card = document.querySelector(`.event-card[data-event-id="${eventId}"]`);
+                if (card) {
+                    card.style.opacity = '0';
+                    card.style.transition = 'opacity 0.3s';
+                    setTimeout(() => card.remove(), 300);
+                }
+                loadStats();
+            })
+            .catch(err => showToast('Error: ' + err.message, 'error'));
+    };
+
+    // --- Known Object Actions ---
+
+    window._deleteKnownObject = function (objectId, name) {
+        if (!confirm(`Delete known object "${name}"? This cannot be undone.`)) return;
+
+        fetch(`/api/known-objects/${objectId}`, {
+            method: 'DELETE'
+        })
+            .then(r => {
+                if (!r.ok) throw new Error('Failed to delete object');
+                return r.json();
+            })
+            .then(() => {
+                showToast(`Deleted "${name}"`, 'success');
+                loadKnown();
+                loadStats();
+            })
+            .catch(err => showToast('Error: ' + err.message, 'error'));
+    };
+
+    // --- Utilities ---
+
+    function escapeHtml(str) {
+        if (!str) return '';
+        const div = document.createElement('div');
+        div.textContent = str;
+        return div.innerHTML;
+    }
+
+    function formatTime(timestamp) {
+        if (!timestamp) return '';
+        const date = new Date(timestamp);
+        const now = new Date();
+        const diffMs = now - date;
+        const diffMins = Math.floor(diffMs / 60000);
+        const diffHours = Math.floor(diffMs / 3600000);
+        const diffDays = Math.floor(diffMs / 86400000);
+
+        if (diffMins < 1) return 'Just now';
+        if (diffMins < 60) return `${diffMins}m ago`;
+        if (diffHours < 24) return `${diffHours}h ago`;
+        if (diffDays < 7) return `${diffDays}d ago`;
+
+        return date.toLocaleDateString() + ' ' + date.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' });
+    }
+
+    function showToast(message, type) {
+        const toast = document.createElement('div');
+        toast.className = `toast toast-${type}`;
+        toast.textContent = message;
+        document.body.appendChild(toast);
+        setTimeout(() => {
+            toast.style.opacity = '0';
+            toast.style.transition = 'opacity 0.3s';
+            setTimeout(() => toast.remove(), 300);
+        }, 3000);
+    }
+
+})();

compose/hf-pdocker-01/frigate-notify/app/static/index.html

@@ -0,0 +1,61 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Frigate Alerts</title>
+    <link rel="stylesheet" href="/static/style.css">
+</head>
+<body>
+    <nav id="sidebar">
+        <div class="sidebar-header">
+            <h2>Frigate Alerts</h2>
+        </div>
+        <div class="sidebar-section">
+            <a href="#" class="sidebar-item active" data-view="dashboard">Dashboard</a>
+            <a href="#" class="sidebar-item" data-view="review">Review Queue</a>
+            <a href="#" class="sidebar-item" data-view="known">Known Objects</a>
+            <a href="#" class="sidebar-item" data-view="settings">Settings</a>
+        </div>
+        <div class="sidebar-section sidebar-stats">
+            <div id="stats-summary"></div>
+        </div>
+    </nav>
+    <main id="content">
+        <div id="main-content"></div>
+    </main>
+
+    <div id="tag-modal" class="modal hidden">
+        <div class="modal-content">
+            <h3>Tag as Known Object</h3>
+            <div id="tag-modal-snapshot"></div>
+            <div class="form-group">
+                <label>Existing object:</label>
+                <select id="tag-existing-object">
+                    <option value="">-- Create new --</option>
+                </select>
+            </div>
+            <div id="tag-new-fields">
+                <div class="form-group">
+                    <label>Name:</label>
+                    <input type="text" id="tag-name" placeholder="e.g., Jeremy, Blue F-150, Max">
+                </div>
+                <div class="form-group">
+                    <label>Type:</label>
+                    <select id="tag-type">
+                        <option value="person">Person</option>
+                        <option value="vehicle">Vehicle</option>
+                        <option value="pet">Pet</option>
+                    </select>
+                </div>
+            </div>
+            <div class="modal-actions">
+                <button id="tag-save" class="btn btn-primary">Save</button>
+                <button id="tag-cancel" class="btn">Cancel</button>
+            </div>
+        </div>
+    </div>
+
+    <script src="/static/app.js"></script>
+</body>
+</html>

compose/hf-pdocker-01/frigate-notify/app/static/style.css

@@ -0,0 +1,534 @@
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+}
+
+body {
+    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
+    background: #1a1a2e;
+    color: #e0e0e0;
+    display: flex;
+    min-height: 100vh;
+}
+
+/* Sidebar */
+#sidebar {
+    width: 220px;
+    background: #16213e;
+    padding: 20px 0;
+    position: fixed;
+    height: 100vh;
+    overflow-y: auto;
+}
+
+.sidebar-header {
+    padding: 0 20px 20px;
+    border-bottom: 1px solid #0f3460;
+}
+
+.sidebar-header h2 {
+    color: #00b4d8;
+    font-size: 1.2em;
+}
+
+.sidebar-section {
+    padding: 10px 0;
+}
+
+.sidebar-item {
+    display: block;
+    padding: 10px 20px;
+    color: #a0a0a0;
+    text-decoration: none;
+    transition: all 0.2s;
+}
+
+.sidebar-item:hover {
+    background: #0f3460;
+    color: #fff;
+}
+
+.sidebar-item.active {
+    background: #0f3460;
+    color: #00b4d8;
+    border-left: 3px solid #00b4d8;
+}
+
+.sidebar-stats {
+    padding: 20px;
+    font-size: 0.85em;
+    color: #888;
+}
+
+/* Main content */
+#content {
+    margin-left: 220px;
+    flex: 1;
+    padding: 20px;
+}
+
+/* Page headers */
+h1 {
+    margin-bottom: 20px;
+}
+
+.page-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 20px;
+}
+
+/* Filters */
+.filters {
+    display: flex;
+    gap: 10px;
+    margin-bottom: 20px;
+    flex-wrap: wrap;
+}
+
+.filters select,
+.filters input {
+    padding: 6px 10px;
+    background: #16213e;
+    border: 1px solid #0f3460;
+    color: #e0e0e0;
+    border-radius: 4px;
+}
+
+.filters select:focus,
+.filters input:focus {
+    outline: none;
+    border-color: #00b4d8;
+}
+
+/* Event cards */
+.event-card {
+    background: #16213e;
+    border-radius: 8px;
+    padding: 15px;
+    margin-bottom: 15px;
+    display: flex;
+    gap: 15px;
+    transition: border-color 0.2s;
+    border: 1px solid transparent;
+}
+
+.event-card:hover {
+    border-color: #0f3460;
+}
+
+.event-card img {
+    width: 160px;
+    height: 120px;
+    object-fit: cover;
+    border-radius: 4px;
+    background: #1a1a2e;
+}
+
+.event-info {
+    flex: 1;
+}
+
+.event-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 8px;
+}
+
+.event-camera {
+    font-weight: bold;
+    color: #00b4d8;
+}
+
+.event-label {
+    color: #a0a0a0;
+}
+
+.event-score {
+    color: #888;
+    font-size: 0.85em;
+}
+
+.event-description {
+    color: #ccc;
+    margin: 8px 0;
+    font-size: 0.9em;
+    line-height: 1.4;
+}
+
+.event-time {
+    color: #666;
+    font-size: 0.8em;
+    margin-bottom: 6px;
+}
+
+.event-actions {
+    margin-top: 10px;
+    display: flex;
+    gap: 8px;
+}
+
+/* Status badges */
+.badge {
+    padding: 3px 10px;
+    border-radius: 12px;
+    font-size: 0.8em;
+    font-weight: bold;
+}
+
+.badge-known {
+    background: #2d6a4f;
+    color: #95d5b2;
+}
+
+.badge-unknown {
+    background: #9a4c1a;
+    color: #f4a261;
+}
+
+.badge-ambiguous {
+    background: #7c6f09;
+    color: #ffd166;
+}
+
+.badge-unreviewed {
+    background: #444;
+    color: #aaa;
+}
+
+/* Buttons */
+.btn {
+    padding: 6px 14px;
+    border: none;
+    border-radius: 4px;
+    cursor: pointer;
+    font-size: 0.85em;
+    transition: all 0.2s;
+    color: #ccc;
+    background: #2a2a4a;
+}
+
+.btn:hover {
+    background: #3a3a5a;
+    color: #fff;
+}
+
+.btn-primary {
+    background: #0f3460;
+    color: #fff;
+}
+
+.btn-primary:hover {
+    background: #00b4d8;
+}
+
+.btn-danger {
+    background: #7c2929;
+    color: #fff;
+}
+
+.btn-danger:hover {
+    background: #c0392b;
+}
+
+.btn-sm {
+    padding: 4px 10px;
+    font-size: 0.8em;
+}
+
+/* Modal */
+.modal {
+    position: fixed;
+    top: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    background: rgba(0, 0, 0, 0.7);
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 1000;
+}
+
+.modal.hidden {
+    display: none;
+}
+
+.modal-content {
+    background: #16213e;
+    border-radius: 8px;
+    padding: 25px;
+    width: 450px;
+    max-width: 90vw;
+}
+
+.modal-content h3 {
+    margin-bottom: 15px;
+    color: #00b4d8;
+}
+
+.modal-actions {
+    display: flex;
+    gap: 10px;
+    justify-content: flex-end;
+    margin-top: 15px;
+}
+
+#tag-modal-snapshot {
+    margin-bottom: 15px;
+}
+
+#tag-modal-snapshot img {
+    width: 100%;
+    max-height: 200px;
+    object-fit: cover;
+    border-radius: 4px;
+}
+
+/* Form elements */
+.form-group {
+    margin-bottom: 12px;
+}
+
+.form-group label {
+    display: block;
+    margin-bottom: 4px;
+    color: #a0a0a0;
+    font-size: 0.9em;
+}
+
+.form-group input,
+.form-group select {
+    width: 100%;
+    padding: 8px 10px;
+    background: #1a1a2e;
+    border: 1px solid #0f3460;
+    color: #e0e0e0;
+    border-radius: 4px;
+}
+
+.form-group input:focus,
+.form-group select:focus {
+    outline: none;
+    border-color: #00b4d8;
+}
+
+.form-group input[type="checkbox"] {
+    width: auto;
+    margin-right: 8px;
+}
+
+.form-group .checkbox-label {
+    display: flex;
+    align-items: center;
+    cursor: pointer;
+}
+
+.form-group .help-text {
+    font-size: 0.8em;
+    color: #666;
+    margin-top: 4px;
+}
+
+/* Known objects grid */
+.known-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fill, minmax(250px, 1fr));
+    gap: 15px;
+}
+
+.known-card {
+    background: #16213e;
+    border-radius: 8px;
+    padding: 15px;
+    border: 1px solid transparent;
+    transition: border-color 0.2s;
+}
+
+.known-card:hover {
+    border-color: #0f3460;
+}
+
+.known-card h4 {
+    color: #00b4d8;
+    margin-bottom: 5px;
+}
+
+.known-card .type-badge {
+    font-size: 0.8em;
+    color: #a0a0a0;
+    text-transform: capitalize;
+}
+
+.known-card .embedding-count {
+    font-size: 0.8em;
+    color: #666;
+    margin-top: 6px;
+}
+
+.known-card .known-card-actions {
+    margin-top: 10px;
+    display: flex;
+    gap: 8px;
+}
+
+.known-card .known-card-samples {
+    display: flex;
+    gap: 5px;
+    margin-top: 10px;
+    overflow-x: auto;
+}
+
+.known-card .known-card-samples img {
+    width: 60px;
+    height: 60px;
+    object-fit: cover;
+    border-radius: 4px;
+    background: #1a1a2e;
+}
+
+/* Settings */
+.settings-form {
+    max-width: 600px;
+}
+
+.settings-form .form-group {
+    margin-bottom: 15px;
+}
+
+.settings-section {
+    margin-bottom: 30px;
+}
+
+.settings-section h3 {
+    color: #00b4d8;
+    margin-bottom: 15px;
+    padding-bottom: 8px;
+    border-bottom: 1px solid #0f3460;
+}
+
+/* Stats in sidebar */
+.stat-item {
+    display: flex;
+    justify-content: space-between;
+    margin-bottom: 8px;
+}
+
+.stat-value {
+    color: #00b4d8;
+    font-weight: bold;
+}
+
+/* Empty state */
+.empty-state {
+    text-align: center;
+    color: #666;
+    padding: 60px 20px;
+}
+
+.empty-state p {
+    margin-top: 10px;
+    font-size: 0.9em;
+}
+
+/* Loading spinner */
+.loading {
+    text-align: center;
+    padding: 40px;
+    color: #666;
+}
+
+.loading::after {
+    content: '';
+    display: inline-block;
+    width: 20px;
+    height: 20px;
+    border: 2px solid #0f3460;
+    border-top-color: #00b4d8;
+    border-radius: 50%;
+    animation: spin 0.8s linear infinite;
+    margin-left: 10px;
+    vertical-align: middle;
+}
+
+@keyframes spin {
+    to { transform: rotate(360deg); }
+}
+
+/* Toast notifications */
+.toast {
+    position: fixed;
+    bottom: 20px;
+    right: 20px;
+    padding: 12px 20px;
+    border-radius: 6px;
+    color: #fff;
+    font-size: 0.9em;
+    z-index: 2000;
+    animation: slideIn 0.3s ease-out;
+}
+
+.toast-success {
+    background: #2d6a4f;
+}
+
+.toast-error {
+    background: #7c2929;
+}
+
+@keyframes slideIn {
+    from {
+        transform: translateY(20px);
+        opacity: 0;
+    }
+    to {
+        transform: translateY(0);
+        opacity: 1;
+    }
+}
+
+/* Responsive */
+@media (max-width: 768px) {
+    #sidebar {
+        width: 100%;
+        height: auto;
+        position: relative;
+    }
+
+    .sidebar-section {
+        display: flex;
+        flex-wrap: wrap;
+    }
+
+    .sidebar-item {
+        padding: 8px 15px;
+    }
+
+    .sidebar-stats {
+        display: none;
+    }
+
+    #content {
+        margin-left: 0;
+    }
+
+    body {
+        flex-direction: column;
+    }
+
+    .event-card {
+        flex-direction: column;
+    }
+
+    .event-card img {
+        width: 100%;
+        height: auto;
+    }
+
+    .known-grid {
+        grid-template-columns: 1fr;
+    }
+}

compose/hf-pdocker-01/frigate-notify/app/vision.py

@@ -1,7 +1,11 @@
 import base64
 import logging
+from typing import Optional
+
 import anthropic
 
+from ollama_client import OllamaClient
+
 logger = logging.getLogger(__name__)
 
 PROMPT = (
@@ -40,3 +44,66 @@ def analyze_snapshot(client: anthropic.Anthropic, image_bytes: bytes) -> str | N
     except Exception:
         logger.exception("Claude Vision API failed")
         return None
+
+
+async def analyze_snapshot_ollama(
+    ollama_client: OllamaClient, image_bytes: bytes
+) -> str | None:
+    """Send a snapshot to Ollama vision model for description.
+
+    Args:
+        ollama_client: Configured OllamaClient instance.
+        image_bytes: Raw image bytes (JPEG).
+
+    Returns:
+        Description string or None on failure.
+    """
+    return await ollama_client.analyze_image(image_bytes, PROMPT)
+
+
+async def get_description(
+    image_bytes: bytes,
+    vision_backend: str,
+    claude_client: Optional[anthropic.Anthropic] = None,
+    ollama_client: Optional[OllamaClient] = None,
+) -> str | None:
+    """Get a scene description using the configured vision backend.
+
+    Args:
+        image_bytes: Raw image bytes (JPEG).
+        vision_backend: One of "haiku", "ollama", or "both".
+            "both" tries Ollama first, falls back to Haiku.
+        claude_client: Anthropic client (required for "haiku" and "both").
+        ollama_client: OllamaClient instance (required for "ollama" and "both").
+
+    Returns:
+        Description string or None if all backends fail.
+    """
+    if vision_backend == "ollama":
+        if ollama_client is None:
+            logger.error("Ollama backend selected but no client provided")
+            return None
+        return await analyze_snapshot_ollama(ollama_client, image_bytes)
+
+    if vision_backend == "haiku":
+        if claude_client is None:
+            logger.error("Haiku backend selected but no client provided")
+            return None
+        return analyze_snapshot(claude_client, image_bytes)
+
+    if vision_backend == "both":
+        # Try Ollama first, fall back to Haiku
+        if ollama_client is not None:
+            result = await analyze_snapshot_ollama(ollama_client, image_bytes)
+            if result is not None:
+                return result
+            logger.info("Ollama failed, falling back to Haiku")
+
+        if claude_client is not None:
+            return analyze_snapshot(claude_client, image_bytes)
+
+        logger.error("Both backend selected but no clients provided")
+        return None
+
+    logger.error("Unknown vision backend: %s", vision_backend)
+    return None

compose/hf-pdocker-01/frigate-notify/docker-compose.yml

@@ -12,8 +12,8 @@ services:
       - MQTT_HOST=192.168.86.192
       - MQTT_PORT=1883
       - MATRIX_HOMESERVER=http://192.168.86.192:8008
-      - CLIP_SERVICE_URL=http://192.168.86.196:5200
+      - CLIP_SERVICE_URL=http://localhost:5200
-      - OLLAMA_URL=http://192.168.86.196:11434
+      - OLLAMA_URL=http://192.168.86.150:11434
       - OLLAMA_MODEL=llava:13b
       - DB_PATH=/data/frigate-notify.db
     volumes:

compose/hf-pdocker-01/frigate/config.yml

@@ -8,7 +8,7 @@
 #     back_porch        192.168.44.63  kerberos:kerberos
 #     house_south_corner 192.168.44.61  admin:(blank)
 #     house_south_yard  192.168.44.62  admin:(blank)
-#     gate_camera       192.168.86.175 admin:(blank)  <-- OFFLINE: wrong user/pass RTSP error
+#     gate_camera       192.168.86.175 admin:(blank)
 #
 #   Profile cameras (/profile1 + /profile2, H.264):
 #     house_north       192.168.44.51  admin:123456
@@ -166,17 +166,17 @@ ffmpeg:
 
 # =============================================================================
 model:
-  width: 320
+  path: /openvino-model/ssdlite_mobilenet_v2.xml
-  height: 320
+  width: 300
+  height: 300
   input_tensor: nhwc
-  input_pixel_format: rgb
+  input_pixel_format: bgr
   labelmap_path: /openvino-model/coco_91cl_bkgr.txt
 
 detectors:
-  coral:
+  ov:
-    type: edgetpu
+    type: openvino
-    device: usb
+    device: GPU
-
 detect:
   enabled: true
   fps: 3
@@ -229,21 +229,6 @@ birdseye:
   enabled: true
   mode: objects
 
-semantic_search:
-  enabled: true
-  model_size: large
-
-face_recognition:
-  enabled: true
-  model_size: small
-
-lpr:
-  enabled: true
-
-classification:
-  bird:
-    enabled: true
-
 # =============================================================================
 # Camera definitions
 # =============================================================================
@@ -349,19 +334,8 @@ cameras:
           roles:
             - record
 
-  # shop_west: throttled to 2fps + stricter filters to reduce detection load
   shop_west:
     enabled: true
-    detect:
-      fps: 2
-    objects:
-      filters:
-        person:
-          min_area: 8000
-          threshold: 0.8
-        car:
-          min_area: 15000
-          threshold: 0.8
     ffmpeg:
       inputs:
         - path: rtsp://127.0.0.1:8554/shop_west_sub
@@ -400,12 +374,13 @@ cameras:
             - record
 
   # ---------------------------------------------------------------------------
-  # house_east - HEVC source, go2rtc provides H.264 sub, VAAPI enabled
+  # house_east - HEVC, VAAPI disabled (pw: admin)
   # ---------------------------------------------------------------------------
 
   house_east:
     enabled: true
     ffmpeg:
+      hwaccel_args: []
       inputs:
         - path: rtsp://127.0.0.1:8554/house_east_sub
           input_args: preset-rtsp-restream
@@ -484,7 +459,6 @@ cameras:
 
   # ---------------------------------------------------------------------------
   # ASH43-W cameras (HEVC main, H.264 sub - go2rtc transcodes main to H.264)
-  # VAAPI enabled - sub stream is H.264
   # ---------------------------------------------------------------------------
 
   pool_room:

compose/hf-pdocker-01/frigate/docker-compose.yml

@@ -14,12 +14,12 @@ services:
       - /mnt/frigate-recordings:/media/frigate
       - /etc/localtime:/etc/localtime:ro
     tmpfs:
-      - /tmp/cache:size=8G
+      - /tmp/cache:size=4G
     devices:
       - /dev/dri:/dev/dri
       - /dev/bus/usb:/dev/bus/usb
     mem_limit: 12G
-    memswap_limit: 16G
+    memswap_limit: 12G
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:5000/api/version || exit 1"]
       interval: 30s

compose/hf-pdocker-01/litellm/.env.example

@@ -0,0 +1,2 @@
+ANTHROPIC_API_KEY=your-anthropic-api-key
+OPENAI_API_KEY=your-openai-api-key

compose/hf-pdocker-01/litellm/docker-compose.yml

@@ -0,0 +1,55 @@
+services:
+  litellm:
+    image: ghcr.io/berriai/litellm:main-latest
+    container_name: litellm
+    restart: unless-stopped
+    ports:
+      - "4000:4000"
+    volumes:
+      - /mnt/docker-data/configs/litellm/config.yaml:/app/config.yaml
+    env_file:
+      - .env
+    command: ["--config", "/app/config.yaml", "--port", "4000"]
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    mem_limit: 1G
+    depends_on:
+      litellm-db:
+        condition: service_healthy
+    healthcheck:
+      test: ["CMD-SHELL", "python3 -c \"import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://localhost:4000/health/liveliness',timeout=5).status==200 else 1)\""]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 60s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+  litellm-db:
+    image: postgres:15-alpine
+    container_name: litellm-db
+    restart: unless-stopped
+    user: "1024:100"
+    environment:
+      - POSTGRES_DB=litellm
+      - POSTGRES_USER=litellm
+      - POSTGRES_PASSWORD=${POSTGRES_PASSWORD}
+    volumes:
+      - /mnt/docker-data/databases/litellm-db:/var/lib/postgresql/data
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    mem_limit: 256M
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U litellm -d litellm"]
+      interval: 10s
+      timeout: 5s
+      retries: 5
+      start_period: 30s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"

compose/hf-pdocker-01/mas/docker-compose.yml

@@ -0,0 +1,67 @@
+services:
+  mas-db:
+    image: postgres:16-alpine
+    container_name: mas-db
+    restart: unless-stopped
+    environment:
+      - POSTGRES_USER=mas
+      - POSTGRES_PASSWORD=3XRBtczkPrdbNgdJftKGWu7QwhT3
+      - POSTGRES_DB=mas
+    volumes:
+      # LOCAL disk, never NFS (Known Issue #16)
+      - /var/lib/mas-db:/var/lib/postgresql/data
+    networks:
+      - mas
+    mem_limit: 256M
+    memswap_limit: 256M
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U mas -d mas"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 30s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+  mas:
+    # NOTE: MAS tags are NOT v-prefixed (1.23.0), unlike Synapse (v1.159.0).
+    # Distroless image - no shell, so no container healthcheck is possible.
+    # Liveness is covered by the blackbox probe of https://auth.hobbs.farm/health.
+    image: ghcr.io/element-hq/matrix-authentication-service:1.27.1
+    container_name: mas
+    restart: unless-stopped
+    command: ["server", "--config", "/config/config.yaml"]
+    volumes:
+      - /mnt/docker-data/configs/mas:/config:ro
+      # read-only synapse data dir: syn2mas reads homeserver.yaml from here
+      - /var/lib/synapse:/synapse:ro
+    ports:
+      - "8020:8080"   # web: oauth / compat / discovery / human UI
+      - "8021:8081"   # internal: /health only
+    networks:
+      - mas               # to mas-db
+      - matrix-internal   # to synapse (admin API) and back
+    depends_on:
+      mas-db:
+        condition: service_healthy
+    mem_limit: 256M
+    memswap_limit: 256M
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+networks:
+  mas:
+    driver: bridge
+  matrix-internal:
+    external: true
+    name: matrix_matrix-internal

compose/hf-pdocker-01/matrix/docker-compose.yml

@@ -1,20 +1,20 @@
 services:
   synapse:
-    image: matrixdotorg/synapse:latest
+    # 2026-08-20: matrixdotorg repo is abandoned (froze at 1.148.0); upstream is now element-hq.
+    # Pinned deliberately so the running version is visible in the file - bump manually.
+    image: ghcr.io/element-hq/synapse:v1.163.2
     container_name: synapse
     restart: unless-stopped
     environment:
       - SYNAPSE_SERVER_NAME=mess.hobbs.farm
       - SYNAPSE_REPORT_STATS=no
     volumes:
-      - /mnt/docker-data/configs/matrix/data:/data
+      # 2026-08-20: moved off NFS -> local NVMe (SQLite locking, Known Issue #16)
+      - /var/lib/synapse:/data
     ports:
       - "8008:8008"
     networks:
       - matrix-internal
-    depends_on:
-      synapse-db:
-        condition: service_healthy
     mem_limit: 1G
     memswap_limit: 1G
     healthcheck:
@@ -52,21 +52,22 @@ services:
         max-file: "3"
 
   synapse-db:
-    image: postgres:15-alpine
+    image: postgres:16-alpine
     container_name: synapse-db
-    user: "1024:100"
     restart: unless-stopped
     environment:
       - POSTGRES_USER=synapse
-      - POSTGRES_PASSWORD=synapse
+      - POSTGRES_PASSWORD=MnLASftPXou9ubOmawmALYwROwgM
       - POSTGRES_DB=synapse
+      # C collation is MANDATORY - Synapse refuses any other
       - POSTGRES_INITDB_ARGS=--encoding=UTF-8 --lc-collate=C --lc-ctype=C
     volumes:
-      - /mnt/docker-data/databases/matrix-db:/var/lib/postgresql/data
+      # LOCAL disk, never NFS (Known Issue #16). No user: 1024:100 - that is an NFS workaround.
+      - /var/lib/synapse-db:/var/lib/postgresql/data
     networks:
       - matrix-internal
-    mem_limit: 256M
+    mem_limit: 512M
-    memswap_limit: 256M
+    memswap_limit: 512M
     labels:
       - "com.centurylinklabs.watchtower.enable=false"
     healthcheck:

compose/hf-pdocker-01/monitoring/docker-compose.yml

@@ -1,21 +1,12 @@
-networks:
-  monitoring-net:
-    name: monitoring-net
-
 services:
   grafana:
     image: grafana/grafana:latest
-    container_name: grafana
     restart: unless-stopped
     user: "104"
-    networks:
-      - monitoring-net
     ports:
       - "3001:3000"
     volumes:
       - /mnt/docker-data/configs/grafana:/var/lib/grafana
-    mem_limit: 512M
-    memswap_limit: 512M
     healthcheck:
       test: ["CMD-SHELL", "wget -q --spider http://localhost:3000/api/health || exit 1"]
       interval: 30s
@@ -27,13 +18,19 @@ services:
       options:
         max-size: "50m"
         max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 512M
 
   prometheus:
     image: prom/prometheus:latest
-    container_name: prometheus
     restart: unless-stopped
-    networks:
-      - monitoring-net
     ports:
       - "9095:9090"
     command:
@@ -44,8 +41,6 @@ services:
       - '--web.enable-lifecycle'
     volumes:
       - /mnt/docker-data/configs/prometheus:/etc/prometheus
-    mem_limit: 512M
-    memswap_limit: 512M
     healthcheck:
       test: ["CMD-SHELL", "wget -q --spider http://localhost:9090/-/healthy || exit 1"]
       interval: 30s
@@ -57,13 +52,19 @@ services:
       options:
         max-size: "50m"
         max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 512M
 
   alertmanager:
     image: prom/alertmanager:latest
-    container_name: alertmanager
     restart: unless-stopped
-    networks:
-      - monitoring-net
     ports:
       - "9093:9093"
     command:
@@ -72,8 +73,6 @@ services:
     volumes:
       - /mnt/docker-data/configs/alertmanager:/etc/alertmanager
       - alertmanager-data:/alertmanager
-    mem_limit: 256M
-    memswap_limit: 256M
     healthcheck:
       test: ["CMD-SHELL", "wget -q --spider http://localhost:9093/-/healthy || exit 1"]
       interval: 30s
@@ -85,19 +84,49 @@ services:
       options:
         max-size: "50m"
         max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 256M
+
+  node-exporter:
+    # DISABLED 2026-10-26: node-exporter runs STANDALONE (compose/<node>/node-exporter, pid:host).
+    # This legacy copy would collide on :9100 if started; gated behind a profile so a
+    # bare `docker compose up -d` here never starts it.
+    profiles: ["legacy-node-exporter"]
+    image: prom/node-exporter:latest
+    restart: unless-stopped
+    ports:
+      - "9100:9100"
+    volumes:
+      - /proc:/host/proc:ro
+      - /sys:/host/sys:ro
+      - /:/rootfs:ro
+    command:
+      - '--path.procfs=/host/proc'
+      - '--path.rootfs=/rootfs'
+      - '--path.sysfs=/host/sys'
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+    deploy:
+      mode: global
+      resources:
+        limits:
+          memory: 128M
 
   influxdb:
     image: influxdb:1.8-alpine
-    container_name: influxdb
     restart: unless-stopped
-    networks:
-      - monitoring-net
-    ports:
-      - "8086:8086"
     volumes:
       - /mnt/docker-data/configs/influxdb:/var/lib/influxdb
-    mem_limit: 1G
-    memswap_limit: 1G
     healthcheck:
       test: ["CMD-SHELL", "wget -q --spider http://localhost:8086/ping || exit 1"]
       interval: 30s
@@ -109,45 +138,99 @@ services:
       options:
         max-size: "50m"
         max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 1G
 
   matrix-alertmanager-receiver:
-    image: metio/matrix-alertmanager-receiver:2026.2.25
+    image: metio/matrix-alertmanager-receiver:2026.9.23
-    container_name: matrix-alertmanager-receiver
     restart: unless-stopped
-    networks:
-      - monitoring-net
     ports:
       - "9094:9094"
     volumes:
       - /mnt/docker-data/configs/alertmanager/matrix-receiver-config.yml:/config/config.yml:ro
     command: ["--config-path", "/config/config.yml"]
-    mem_limit: 128M
+    # NOTE: No healthcheck - this image is distroless (no shell), so CMD-SHELL healthchecks fail.
-    memswap_limit: 128M
+    # The service is verified healthy by Alertmanager successfully POSTing to it.
     logging:
       driver: "json-file"
       options:
         max-size: "50m"
         max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 128M
+
+  cadvisor:
+    image: ghcr.io/google/cadvisor:v0.60.6  # moved off gcr.io (no releases there after v0.55)
+    restart: unless-stopped
+    privileged: true
+    command:
+      - '--docker_only=true'
+      - '--disable_metrics=advtcp,cpu_topology,cpuset,hugetlb,memory_numa,process,referenced_memory,resctrl,sched,tcp,udp,disk,diskIO,percpu'
+      - '--housekeeping_interval=30s'
+      - '--store_container_labels=false'
+    ports:
+      - "8081:8080"
+    volumes:
+      - /:/rootfs:ro
+      - /var/run:/var/run:ro
+      - /sys:/sys:ro
+      - /var/lib/docker/:/var/lib/docker:ro
+      - /dev/disk/:/dev/disk:ro
+      - /sys/fs/cgroup:/sys/fs/cgroup:ro
+    devices:
+      - /dev/kmsg
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 256M
 
   blackbox-exporter:
     image: prom/blackbox-exporter:latest
-    container_name: blackbox-exporter
     restart: unless-stopped
-    networks:
-      - monitoring-net
     ports:
       - "9115:9115"
     command:
       - '--config.file=/config/blackbox.yml'
     volumes:
       - /mnt/docker-data/configs/blackbox:/config:ro
-    mem_limit: 128M
-    memswap_limit: 128M
     logging:
       driver: "json-file"
       options:
         max-size: "50m"
         max-file: "3"
+    deploy:
+      mode: replicated
+      replicas: 1
+      placement:
+        constraints:
+          - node.hostname == hf-pdocker-01
+      resources:
+        limits:
+          memory: 128M
 
 volumes:
   alertmanager-data:

compose/hf-pdocker-01/node-exporter/docker-compose.yml

@@ -0,0 +1,24 @@
+services:
+  node-exporter:
+    image: prom/node-exporter:v1.12.1
+    container_name: node-exporter
+    hostname: hf-pdocker-01
+    network_mode: host
+    pid: host
+    restart: unless-stopped
+    volumes:
+      - /proc:/host/proc:ro
+      - /sys:/host/sys:ro
+      - /:/rootfs:ro
+    command:
+      - '--path.procfs=/host/proc'
+      - '--path.rootfs=/rootfs'
+      - '--path.sysfs=/host/sys'
+      - '--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)'
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"

compose/hf-pdocker-01/openwebui/docker-compose.yml

@@ -1,29 +0,0 @@
-services:
-  open-webui:
-    image: ghcr.io/open-webui/open-webui:main
-    container_name: open-webui
-    restart: unless-stopped
-    ports:
-      - "3010:8080"
-    env_file:
-      - .env
-    environment:
-      - TZ=America/Chicago
-      - OLLAMA_BASE_URL=http://192.168.86.196:11434
-    volumes:
-      - /mnt/docker-data/configs/openwebui:/app/backend/data
-    mem_limit: 1G
-    memswap_limit: 1G
-    labels:
-      - "com.centurylinklabs.watchtower.enable=false"
-    healthcheck:
-      test: ["CMD-SHELL", "curl -sf http://localhost:8080/health || exit 1"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-      start_period: 60s
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "50m"
-        max-file: "3"

compose/hf-pdocker-01/telegraf/docker-compose.yml

@@ -0,0 +1,22 @@
+services:
+  telegraf:
+    image: telegraf:latest
+    container_name: telegraf
+    hostname: hf-pdocker-01
+    restart: unless-stopped
+    environment:
+      - HOST_PROC=/host/proc
+      - HOST_SYS=/host/sys
+      - HOST_ETC=/host/etc
+    volumes:
+      - /mnt/docker-data/configs/telegraf/telegraf.conf:/etc/telegraf/telegraf.conf:ro
+      - /var/run/docker.sock:/var/run/docker.sock:ro
+      - /sys:/host/sys:ro
+      - /proc:/host/proc:ro
+      - /etc:/host/etc:ro
+    mem_limit: 512M
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"

compose/hf-pdocker-01/traefik-dynamic/temp-routes.yml

@@ -0,0 +1,102 @@
+http:
+  routers:
+    auth:
+      rule: "Host(`auth.hobbs.farm`)"
+      service: mas
+      entryPoints:
+        - websecure
+      middlewares:
+        - security-headers
+      tls:
+        certResolver: letsencrypt
+
+    # 2026-08-20: under MAS, Synapse no longer serves the login endpoints
+    # (it returns M_UNRECOGNIZED). These three compat paths must reach MAS or
+    # no client can sign in. Explicit high priority so it wins over `mess`.
+    mess-auth-compat:
+      rule: "Host(`mess.hobbs.farm`) && PathRegexp(`^/_matrix/client/(r0|v3|v1|unstable)/(login|logout|refresh)`)"
+      priority: 1000
+      service: mas
+      entryPoints:
+        - websecure
+      middlewares:
+        - security-headers
+      tls:
+        certResolver: letsencrypt
+
+    yoda:
+      rule: "Host(`yoda.hobbs.farm`)"
+      service: yoda
+      entryPoints:
+        - websecure
+      middlewares:
+        - security-headers-allow-frames
+      tls:
+        certResolver: letsencrypt
+
+    mess:
+      rule: "Host(`mess.hobbs.farm`)"
+      service: mess
+      entryPoints:
+        - websecure
+      middlewares:
+        - security-headers
+      tls:
+        certResolver: letsencrypt
+
+    mess-federation:
+      rule: "Host(`mess.hobbs.farm`) && PathPrefix(`/_matrix/federation`)"
+      service: mess
+      entryPoints:
+        - websecure
+      middlewares:
+        - security-headers
+      tls:
+        certResolver: letsencrypt
+
+    wellknown:
+      rule: "Host(`hobbs.farm`) && PathPrefix(`/.well-known/matrix`)"
+      service: wellknown
+      entryPoints:
+        - websecure
+      middlewares:
+        - security-headers
+      tls:
+        certResolver: letsencrypt
+
+    solo:
+      rule: "Host(`solo.hobbs.farm`)"
+      service: solo
+      entryPoints:
+        - websecure
+      middlewares:
+        - solo-basicauth
+        - security-headers-allow-frames
+      tls:
+        certResolver: letsencrypt
+
+  services:
+    mas:
+      loadBalancer:
+        servers:
+          - url: "http://192.168.86.192:8020"
+
+    yoda:
+      loadBalancer:
+        servers:
+          - url: "http://192.168.86.192:8123"
+
+    mess:
+      loadBalancer:
+        servers:
+          - url: "http://192.168.86.192:8008"
+
+    wellknown:
+      loadBalancer:
+        servers:
+          - url: "http://192.168.86.192:8010"
+
+    solo:
+      loadBalancer:
+        servers:
+          - url: "http://192.168.86.192:8199"

compose/hf-pdocker-01/traefik/docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   traefik:
-    image: traefik:v3.6
+    image: traefik:v3.7
     container_name: traefik
     restart: unless-stopped
     command:

compose/hf-pdocker-01/voicecoach-v2/.env.example

@@ -1,6 +0,0 @@
-LIVEKIT_API_KEY=voicecoach-89a06ad0
-LIVEKIT_API_SECRET=Dn16mQJU5lTCWwXOrUO8LPflODi3LGiMHdxKdQj4/iM
-ANTHROPIC_API_KEY=
-OPENCLAW_TOKEN=f31cc58c47c2aa420901576b4e90a0101d52e9ec0a084186
-HA_TOKEN=
-SSH_PASS=&Rip8a115

compose/hf-pdocker-01/voicecoach-v2/agent/Dockerfile

@@ -1,16 +0,0 @@
-FROM python:3.11-slim
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    curl libsndfile1 ffmpeg \
-    && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /app
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-COPY . .
-
-HEALTHCHECK --interval=30s --timeout=10s --start-period=60s \
-    CMD curl -sf http://localhost:8080/health || exit 1
-
-CMD ["python", "main.py", "start"]

compose/hf-pdocker-01/voicecoach-v2/agent/agent.py

@@ -1,185 +0,0 @@
-"""VoiceCoach v2 — livekit-agents 1.5."""
-import asyncio
-import json
-import logging
-import os
-import uuid
-
-from livekit import rtc
-from livekit.agents import (
-    Agent,
-    AgentSession,
-    AutoSubscribe,
-    JobContext,
-    RoomInputOptions,
-    llm as lk_llm,
-)
-from livekit.plugins import openai as lk_openai
-from livekit.plugins import silero
-
-import store
-from modes import DEFAULT_MODE, MODES, ModeConfig
-from tools import ALL_TOOLS
-from vocal import VocalAnalyzer
-
-logger = logging.getLogger(__name__)
-
-SPEACHES_URL = os.getenv("SPEACHES_URL", "http://192.168.86.27:8000")
-OPENCLAW_URL = os.getenv("OPENCLAW_URL", "http://voicecoach-openclaw:3100")
-OPENCLAW_TOKEN = os.getenv("OPENCLAW_TOKEN", "")
-WHISPER_MODEL = "deepdml/faster-whisper-large-v3-turbo-ct2"
-KOKORO_MODEL = "speaches-ai/Kokoro-82M-v1.0-ONNX-fp16"
-KOKORO_VOICE = os.getenv("KOKORO_VOICE", "af_nova")
-
-
-def _build_instructions(mode: ModeConfig, context: str = "") -> str:
-    if context:
-        return f"{mode.instructions}\n\n{context}"
-    return mode.instructions
-
-
-class VoiceCoachAgent(Agent):
-    def __init__(self, mode_name: str, context: str, session_id: str, room: rtc.Room):
-        mode = MODES[mode_name]
-        super().__init__(
-            instructions=_build_instructions(mode, context),
-            tools=ALL_TOOLS,
-        )
-        self._mode_name = mode_name
-        self._session_id = session_id
-        self._room = room
-        self._vocal = VocalAnalyzer()
-
-    async def on_enter(self):
-        await store.create_session(self._session_id, self._mode_name)
-        self.session.generate_reply(
-            instructions="Greet Jeremy warmly in one sentence. Be natural, not formal."
-        )
-
-    async def on_exit(self):
-        await store.end_session(self._session_id)
-
-    async def on_user_turn_completed(
-        self,
-        turn_ctx: lk_llm.ChatContext,
-        new_message: lk_llm.ChatMessage,
-    ):
-        content = new_message.text_content or ""
-        mode = MODES[self._mode_name]
-
-        # Inject vocal state tag into message if mode uses it
-        if mode.vocal_feedback and content:
-            vocal = self._vocal.current
-            if vocal.energy > 0.02:
-                tag = vocal.to_tag()
-                # Update message content to include vocal context
-                new_message.content = [f"{tag}\n{content}"]
-
-        asyncio.create_task(
-            store.add_message(
-                self._session_id,
-                "user",
-                content,
-                vocal_energy=self._vocal.current.energy,
-                vocal_emotion=self._vocal.current.emotion,
-            )
-        )
-
-        await self._push({
-            "type": "final_transcript",
-            "text": content,
-            "speaker": "user",
-        })
-
-    def switch_mode(self, mode_name: str):
-        if mode_name not in MODES:
-            logger.warning("Unknown mode: %s", mode_name)
-            return
-        self._mode_name = mode_name
-        self.update_instructions(_build_instructions(MODES[mode_name]))
-        asyncio.create_task(self._push({"type": "mode_ack", "mode": mode_name}))
-        logger.info("Mode → %s", mode_name)
-
-    async def _push(self, payload: dict):
-        try:
-            data = json.dumps(payload).encode()
-            await self._room.local_participant.publish_data(data, reliable=True)
-        except Exception as e:
-            logger.debug("Data push failed: %s", e)
-
-
-async def entrypoint(ctx: JobContext):
-    await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY)
-
-    session_id = uuid.uuid4().hex[:8]
-    context = await store.get_recent_context(limit=3)
-
-    agent = VoiceCoachAgent(
-        mode_name=DEFAULT_MODE,
-        context=context,
-        session_id=session_id,
-        room=ctx.room,
-    )
-
-    session = AgentSession(
-        stt=lk_openai.STT(
-            base_url=f"{SPEACHES_URL}/v1",
-            model=WHISPER_MODEL,
-            api_key="speaches",
-        ),
-        llm=lk_openai.LLM(
-            base_url=f"{OPENCLAW_URL}/v1",
-            model="openclaw/assistant",
-            api_key=OPENCLAW_TOKEN,
-        ),
-        tts=lk_openai.TTS(
-            base_url=f"{SPEACHES_URL}/v1",
-            model=KOKORO_MODEL,
-            voice=KOKORO_VOICE,
-            api_key="speaches",
-        ),
-        vad=silero.VAD.load(),
-        allow_interruptions=True,
-        min_endpointing_delay=0.4,
-        max_endpointing_delay=2.0,
-    )
-
-    # Data channel → mode switching
-    @ctx.room.on("data_received")
-    def on_data(packet: rtc.DataPacket):
-        try:
-            msg = json.loads(packet.data.decode())
-            if msg.get("type") == "mode_change":
-                agent.switch_mode(msg.get("mode", DEFAULT_MODE))
-        except Exception:
-            pass
-
-    # Session events → browser
-    @session.on("user_input_transcribed")
-    def on_transcribed(ev):
-        asyncio.create_task(agent._push({
-            "type": "partial_transcript" if not ev.is_final else "final_transcript",
-            "text": ev.transcript,
-            "speaker": "user",
-        }))
-
-    @session.on("conversation_item_added")
-    def on_item(ev):
-        item = ev.item
-        if hasattr(item, "role") and item.role == "assistant":
-            text = item.text_content or ""
-            if text:
-                asyncio.create_task(agent._push({
-                    "type": "agent_response",
-                    "text": text,
-                    "speaker": "assistant",
-                }))
-                asyncio.create_task(
-                    store.add_message(session_id, "assistant", text)
-                )
-
-    await session.start(
-        agent,
-        room=ctx.room,
-        room_input_options=RoomInputOptions(),
-    )

compose/hf-pdocker-01/voicecoach-v2/agent/main.py

@@ -1,29 +0,0 @@
-"""VoiceCoach v2 — entry point."""
-import logging
-import os
-import threading
-
-from livekit.agents import WorkerOptions, cli
-
-import server
-from agent import entrypoint
-
-logging.basicConfig(level=logging.INFO)
-
-
-def run_api_server():
-    server.run()
-
-
-if __name__ == "__main__":
-    api_thread = threading.Thread(target=run_api_server, daemon=True)
-    api_thread.start()
-
-    cli.run_app(
-        WorkerOptions(
-            entrypoint_fnc=entrypoint,
-            ws_url=os.getenv("LIVEKIT_URL", "ws://voicecoach-livekit:7880"),
-            api_key=os.getenv("LIVEKIT_API_KEY"),
-            api_secret=os.getenv("LIVEKIT_API_SECRET"),
-        )
-    )

compose/hf-pdocker-01/voicecoach-v2/agent/modes.py

@@ -1,61 +0,0 @@
-from dataclasses import dataclass
-
-
-@dataclass
-class ModeConfig:
-    name: str
-    instructions: str
-    max_tokens: int
-    vocal_feedback: bool
-
-
-MODES: dict[str, ModeConfig] = {
-    "coaching": ModeConfig(
-        name="coaching",
-        instructions="""You are a personal voice coach and communication advisor. You are speaking with Jeremy.
-
-Keep responses conversational and concise (2-4 sentences unless asked for more). You receive a [VOCAL] tag before each message with paralinguistic analysis. Use it to provide feedback on BOTH what Jeremy says AND how he sounds.
-
-Never quote raw numbers from the vocal analysis. Translate them naturally: "I notice some tension in your voice" not "energy=0.8".
-
-Available modes (Jeremy switches by saying the phrase or clicking the UI):
-- "coaching mode" (default) — active feedback on content and delivery
-- "vent mode" — listen and reflect, minimal advice
-- "practice mode" — roleplay a difficult conversation partner
-- "briefing mode" — summarize tasks and context from memory
-
-You have tools to interact with Jeremy's homelab infrastructure. Use them when asked about system status, container health, alerts, or home automation. Be concise about results: "hf-pdocker-01 looks healthy, 38 containers running" not a full list.""",
-        max_tokens=512,
-        vocal_feedback=True,
-    ),
-    "vent": ModeConfig(
-        name="vent",
-        instructions="""You are a warm, non-judgmental listener. Jeremy wants to vent or think something through.
-
-Listen, reflect back what you hear, and ask one gentle follow-up question. Keep responses short (1-3 sentences). No coaching, no advice unless explicitly asked.
-
-Ignore the [VOCAL] tag data — just be present.""",
-        max_tokens=256,
-        vocal_feedback=False,
-    ),
-    "practice": ModeConfig(
-        name="practice",
-        instructions="""You are playing a difficult conversation partner for Jeremy to practice with.
-
-Stay in character as: a skeptical stakeholder, a demanding manager, or whoever Jeremy describes. Be realistic — push back, ask hard questions, don't cave too easily. Only break character if Jeremy says "stop practice".
-
-Keep your responses to 1-3 sentences to keep the conversation moving.""",
-        max_tokens=256,
-        vocal_feedback=False,
-    ),
-    "briefing": ModeConfig(
-        name="briefing",
-        instructions="""You are giving Jeremy a morning briefing. Check infrastructure status, pull any alerts, and summarize what needs attention.
-
-Be concise and actionable. Lead with anything that needs immediate attention, then routine status. Use tools to get current data — don't guess.""",
-        max_tokens=768,
-        vocal_feedback=False,
-    ),
-}
-
-DEFAULT_MODE = "coaching"

compose/hf-pdocker-01/voicecoach-v2/agent/server.py

@@ -1,83 +0,0 @@
-"""Token server + sessions REST API — FastAPI."""
-import asyncio
-import os
-from datetime import timedelta
-
-import uvicorn
-from fastapi import FastAPI, HTTPException
-from fastapi.middleware.cors import CORSMiddleware
-from livekit import api as livekit_api
-from pydantic import BaseModel
-
-import store
-
-LIVEKIT_API_KEY = os.environ["LIVEKIT_API_KEY"]
-LIVEKIT_API_SECRET = os.environ["LIVEKIT_API_SECRET"]
-LIVEKIT_PUBLIC_URL = os.getenv("LIVEKIT_PUBLIC_URL", "wss://voice.hobbs.farm")
-
-app = FastAPI(title="VoiceCoach API")
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-class TokenRequest(BaseModel):
-    identity: str = "jeremy"
-
-
-@app.on_event("startup")
-async def startup():
-    await store.init_db()
-
-
-@app.get("/health")
-async def health():
-    return {"status": "ok", "version": "2.0"}
-
-
-@app.post("/api/token")
-async def get_token(req: TokenRequest):
-    token = livekit_api.AccessToken(LIVEKIT_API_KEY, LIVEKIT_API_SECRET)
-    token.with_grants(livekit_api.VideoGrants(
-        room_join=True,
-        room="voicecoach",
-        can_publish=True,
-        can_subscribe=True,
-    ))
-    token.identity = req.identity
-    token.ttl = timedelta(hours=8)
-    return {"token": token.to_jwt(), "url": LIVEKIT_PUBLIC_URL}
-
-
-@app.get("/api/sessions")
-async def list_sessions(limit: int = 20):
-    return await store.get_sessions(limit=limit)
-
-
-@app.get("/api/sessions/{session_id}/messages")
-async def get_messages(session_id: str):
-    msgs = await store.get_session_messages(session_id)
-    if not msgs:
-        raise HTTPException(status_code=404, detail="Session not found")
-    return msgs
-
-
-@app.get("/api/profile/{key}")
-async def get_profile(key: str):
-    value = await store.get_profile(key)
-    if value is None:
-        raise HTTPException(status_code=404, detail="Key not found")
-    return {"key": key, "value": value}
-
-
-@app.put("/api/profile/{key}")
-async def set_profile_key(key: str, body: dict):
-    await store.set_profile(key, str(body.get("value", "")))
-    return {"ok": True}
-
-
-def run():
-    uvicorn.run(app, host="0.0.0.0", port=8080, log_level="info")

compose/hf-pdocker-01/voicecoach-v2/agent/store.py

@@ -1,140 +0,0 @@
-"""SQLite session store — WAL mode, aiosqlite."""
-import json
-import os
-import time
-from typing import Optional
-
-import aiosqlite
-
-DB_PATH = os.getenv("DB_PATH", "/data/sessions.db")
-
-
-async def init_db():
-    async with aiosqlite.connect(DB_PATH) as db:
-        await db.execute("PRAGMA journal_mode=WAL")
-        await db.executescript("""
-            CREATE TABLE IF NOT EXISTS sessions (
-                id TEXT PRIMARY KEY,
-                started_at REAL NOT NULL,
-                ended_at REAL,
-                mode TEXT DEFAULT 'coaching',
-                summary TEXT
-            );
-
-            CREATE TABLE IF NOT EXISTS messages (
-                id INTEGER PRIMARY KEY AUTOINCREMENT,
-                session_id TEXT NOT NULL,
-                role TEXT NOT NULL,
-                content TEXT NOT NULL,
-                vocal_energy REAL,
-                vocal_emotion TEXT,
-                ts REAL NOT NULL,
-                FOREIGN KEY(session_id) REFERENCES sessions(id)
-            );
-
-            CREATE TABLE IF NOT EXISTS profile (
-                key TEXT PRIMARY KEY,
-                value TEXT NOT NULL,
-                updated_at REAL NOT NULL
-            );
-        """)
-        await db.commit()
-
-
-async def create_session(session_id: str, mode: str = "coaching"):
-    async with aiosqlite.connect(DB_PATH) as db:
-        await db.execute(
-            "INSERT OR IGNORE INTO sessions (id, started_at, mode) VALUES (?, ?, ?)",
-            (session_id, time.time(), mode),
-        )
-        await db.commit()
-
-
-async def end_session(session_id: str, summary: Optional[str] = None):
-    async with aiosqlite.connect(DB_PATH) as db:
-        await db.execute(
-            "UPDATE sessions SET ended_at=?, summary=? WHERE id=?",
-            (time.time(), summary, session_id),
-        )
-        await db.commit()
-
-
-async def add_message(
-    session_id: str,
-    role: str,
-    content: str,
-    vocal_energy: Optional[float] = None,
-    vocal_emotion: Optional[str] = None,
-):
-    async with aiosqlite.connect(DB_PATH) as db:
-        await db.execute(
-            "INSERT INTO messages (session_id, role, content, vocal_energy, vocal_emotion, ts) VALUES (?,?,?,?,?,?)",
-            (session_id, role, content, vocal_energy, vocal_emotion, time.time()),
-        )
-        await db.commit()
-
-
-async def get_recent_context(limit: int = 3) -> str:
-    """Return a brief context string from the last N sessions for injection into system prompt."""
-    async with aiosqlite.connect(DB_PATH) as db:
-        async with db.execute(
-            "SELECT id, started_at, mode, summary FROM sessions WHERE ended_at IS NOT NULL ORDER BY ended_at DESC LIMIT ?",
-            (limit,),
-        ) as cur:
-            rows = await cur.fetchall()
-
-    if not rows:
-        return ""
-
-    parts = ["Recent session context:"]
-    for session_id, started_at, mode, summary in rows:
-        import datetime
-        dt = datetime.datetime.fromtimestamp(started_at).strftime("%Y-%m-%d")
-        if summary:
-            parts.append(f"- {dt} ({mode}): {summary}")
-    return "\n".join(parts)
-
-
-async def get_sessions(limit: int = 20) -> list[dict]:
-    async with aiosqlite.connect(DB_PATH) as db:
-        async with db.execute(
-            "SELECT id, started_at, ended_at, mode, summary FROM sessions ORDER BY started_at DESC LIMIT ?",
-            (limit,),
-        ) as cur:
-            rows = await cur.fetchall()
-    return [
-        {
-            "id": r[0],
-            "started_at": r[1],
-            "ended_at": r[2],
-            "mode": r[3],
-            "summary": r[4],
-        }
-        for r in rows
-    ]
-
-
-async def get_session_messages(session_id: str) -> list[dict]:
-    async with aiosqlite.connect(DB_PATH) as db:
-        async with db.execute(
-            "SELECT role, content, vocal_emotion, ts FROM messages WHERE session_id=? ORDER BY ts",
-            (session_id,),
-        ) as cur:
-            rows = await cur.fetchall()
-    return [{"role": r[0], "content": r[1], "vocal_emotion": r[2], "ts": r[3]} for r in rows]
-
-
-async def get_profile(key: str) -> Optional[str]:
-    async with aiosqlite.connect(DB_PATH) as db:
-        async with db.execute("SELECT value FROM profile WHERE key=?", (key,)) as cur:
-            row = await cur.fetchone()
-    return row[0] if row else None
-
-
-async def set_profile(key: str, value: str):
-    async with aiosqlite.connect(DB_PATH) as db:
-        await db.execute(
-            "INSERT OR REPLACE INTO profile (key, value, updated_at) VALUES (?,?,?)",
-            (key, value, time.time()),
-        )
-        await db.commit()

compose/hf-pdocker-01/voicecoach-v2/agent/tools.py

@@ -1,186 +0,0 @@
-"""Homelab tools wired into the agent via @function_tool."""
-import asyncio
-import logging
-import os
-from typing import Annotated
-
-import httpx
-from livekit.agents import llm
-
-logger = logging.getLogger(__name__)
-
-# Homelab node config
-NODES = {
-    "hf-pdocker-01": "192.168.86.192",
-    "hf-pdocker-02": "192.168.86.100",
-    "bart": "192.168.86.167",
-    "gpu": "192.168.86.27",
-}
-SSH_USER = "glyptic"
-SSH_PASS = os.getenv("SSH_PASS", "&Rip8a115")
-FARM_MANAGER_URL = "http://192.168.86.192:8888"
-HA_URL = os.getenv("HA_URL", "http://192.168.86.192:8123")
-HA_TOKEN = os.getenv("HA_TOKEN", "")
-ALERTMANAGER_URL = "http://192.168.86.192:9093"
-SEARXNG_URL = "http://192.168.86.100:8888"
-
-
-async def _ssh_exec(host: str, cmd: str, timeout: float = 15.0) -> str:
-    """Run a command on a remote host via sshpass."""
-    proc = await asyncio.create_subprocess_exec(
-        "sshpass", "-p", SSH_PASS,
-        "ssh", "-o", "StrictHostKeyChecking=no", "-o", "ConnectTimeout=5",
-        f"{SSH_USER}@{host}", cmd,
-        stdout=asyncio.subprocess.PIPE,
-        stderr=asyncio.subprocess.PIPE,
-    )
-    try:
-        stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=timeout)
-    except asyncio.TimeoutError:
-        proc.kill()
-        return f"ERROR: command timed out after {timeout}s"
-    if proc.returncode != 0:
-        return f"ERROR: {stderr.decode().strip()}"
-    return stdout.decode().strip()
-
-
-@llm.function_tool
-async def infra_status(
-    node: Annotated[str, "Node name: hf-pdocker-01, hf-pdocker-02, bart, gpu, or 'all'"],
-) -> str:
-    """Check container health on a homelab node. Returns running container count and any unhealthy containers."""
-    nodes = list(NODES.keys()) if node == "all" else [node]
-    results = []
-    for n in nodes:
-        ip = NODES.get(n)
-        if not ip:
-            results.append(f"{n}: unknown node")
-            continue
-        out = await _ssh_exec(ip, "docker ps --format '{{.Names}}\\t{{.Status}}' | head -50")
-        lines = [l for l in out.splitlines() if l.strip()]
-        unhealthy = [l for l in lines if "unhealthy" in l.lower() or "exited" in l.lower()]
-        results.append(
-            f"{n}: {len(lines)} containers running"
-            + (f", ISSUES: {'; '.join(l.split(chr(9))[0] for l in unhealthy)}" if unhealthy else ", all healthy")
-        )
-    return "\n".join(results)
-
-
-@llm.function_tool
-async def container_action(
-    node: Annotated[str, "Node name: hf-pdocker-01, hf-pdocker-02, bart, gpu"],
-    container: Annotated[str, "Container name"],
-    action: Annotated[str, "Action: restart, stop, or start"],
-) -> str:
-    """Restart, stop, or start a Docker container on a homelab node."""
-    ip = NODES.get(node)
-    if not ip:
-        return f"Unknown node: {node}"
-    if action not in ("restart", "stop", "start"):
-        return f"Invalid action: {action}. Use restart, stop, or start."
-    result = await _ssh_exec(ip, f"docker {action} {container}")
-    return f"{action} {container} on {node}: {'done' if container in result or result == '' else result}"
-
-
-@llm.function_tool
-async def check_logs(
-    node: Annotated[str, "Node name"],
-    container: Annotated[str, "Container name"],
-    lines: Annotated[int, "Number of log lines to return (max 50)"] = 20,
-) -> str:
-    """Get recent logs from a container."""
-    ip = NODES.get(node)
-    if not ip:
-        return f"Unknown node: {node}"
-    lines = min(lines, 50)
-    return await _ssh_exec(ip, f"docker logs --tail {lines} {container} 2>&1")
-
-
-@llm.function_tool
-async def read_alerts() -> str:
-    """Check Prometheus Alertmanager for active alerts."""
-    try:
-        async with httpx.AsyncClient(timeout=5.0) as client:
-            r = await client.get(f"{ALERTMANAGER_URL}/api/v2/alerts?active=true&silenced=false")
-            r.raise_for_status()
-            alerts = r.json()
-        if not alerts:
-            return "No active alerts."
-        parts = []
-        for a in alerts[:10]:
-            name = a.get("labels", {}).get("alertname", "unknown")
-            severity = a.get("labels", {}).get("severity", "")
-            summary = a.get("annotations", {}).get("summary", "")
-            parts.append(f"[{severity}] {name}: {summary}" if summary else f"[{severity}] {name}")
-        return "\n".join(parts)
-    except Exception as e:
-        return f"Could not reach Alertmanager: {e}"
-
-
-@llm.function_tool
-async def home_assistant(
-    action: Annotated[str, "get_states, turn_on, turn_off, or toggle"],
-    entity_id: Annotated[str, "HA entity ID, e.g. light.living_room or 'all' for get_states"] = "all",
-) -> str:
-    """Interact with Home Assistant — check sensor states or control devices."""
-    if not HA_TOKEN:
-        return "HA_TOKEN not configured."
-    headers = {"Authorization": f"Bearer {HA_TOKEN}", "Content-Type": "application/json"}
-    try:
-        async with httpx.AsyncClient(timeout=5.0) as client:
-            if action == "get_states":
-                if entity_id == "all":
-                    r = await client.get(f"{HA_URL}/api/states", headers=headers)
-                    states = r.json()
-                    # Summarize lights/switches/sensors
-                    lights = [s for s in states if s["entity_id"].startswith("light.")]
-                    sensors = [s for s in states if s["entity_id"].startswith("sensor.")]
-                    on_lights = [s["entity_id"].split(".")[1] for s in lights if s["state"] == "on"]
-                    return (
-                        f"{len(lights)} lights ({len(on_lights)} on: {', '.join(on_lights[:5])}), "
-                        f"{len(sensors)} sensors"
-                    )
-                else:
-                    r = await client.get(f"{HA_URL}/api/states/{entity_id}", headers=headers)
-                    s = r.json()
-                    return f"{entity_id}: {s.get('state')} (attrs: {list(s.get('attributes', {}).keys())[:3]})"
-            else:
-                service = action.replace("turn_", "").replace("toggle", "toggle")
-                domain = entity_id.split(".")[0]
-                r = await client.post(
-                    f"{HA_URL}/api/services/{domain}/{action}",
-                    headers=headers,
-                    json={"entity_id": entity_id},
-                )
-                return f"{action} {entity_id}: {'done' if r.status_code in (200, 201) else r.text}"
-    except Exception as e:
-        return f"HA error: {e}"
-
-
-@llm.function_tool
-async def search_web(
-    query: Annotated[str, "Search query"],
-) -> str:
-    """Search the web using the local SearXNG instance."""
-    try:
-        async with httpx.AsyncClient(timeout=8.0) as client:
-            r = await client.get(
-                f"{SEARXNG_URL}/search",
-                params={"q": query, "format": "json", "categories": "general"},
-            )
-            r.raise_for_status()
-            data = r.json()
-        results = data.get("results", [])[:4]
-        if not results:
-            return "No results found."
-        parts = []
-        for res in results:
-            title = res.get("title", "")
-            content = res.get("content", "")[:150]
-            parts.append(f"• {title}: {content}")
-        return "\n".join(parts)
-    except Exception as e:
-        return f"Search failed: {e}"
-
-
-ALL_TOOLS = [infra_status, container_action, check_logs, read_alerts, home_assistant, search_web]

compose/hf-pdocker-01/voicecoach-v2/agent/vocal.py

@@ -1,110 +0,0 @@
-"""Async vocal analysis — runs background, never blocks TTS path."""
-import asyncio
-import io
-import logging
-import math
-import struct
-import wave
-from dataclasses import dataclass
-from typing import Callable, Optional
-
-import httpx
-
-logger = logging.getLogger(__name__)
-
-SPEECHBRAIN_URL = "http://speechbrain-service:8001"
-
-
-@dataclass
-class VocalState:
-    emotion: str = "neutral"
-    confidence: float = 0.0
-    energy: float = 0.0
-    pitch_hz: Optional[float] = None
-    rate: float = 0.0
-
-    def to_tag(self) -> str:
-        parts = [f"emotion={self.emotion}", f"energy={self.energy:.2f}"]
-        if self.pitch_hz:
-            parts.append(f"pitch={self.pitch_hz:.0f}hz")
-        if self.rate:
-            parts.append(f"rate={'fast' if self.rate > 3 else 'slow' if self.rate < 1.5 else 'normal'}")
-        return f"[VOCAL {' '.join(parts)}]"
-
-
-def compute_energy(audio_bytes: bytes) -> float:
-    if len(audio_bytes) < 2:
-        return 0.0
-    samples = struct.unpack_from("<" + "h" * (len(audio_bytes) // 2), audio_bytes)
-    rms = math.sqrt(sum(x * x for x in samples) / len(samples)) / 32768.0
-    return round(min(rms * 10, 1.0), 3)
-
-
-async def analyze_audio(audio_bytes: bytes) -> VocalState:
-    """Call SpeechBrain for emotion/pitch. Falls back to energy-only if unavailable."""
-    energy = compute_energy(audio_bytes)
-    state = VocalState(energy=energy)
-
-    try:
-        buf = io.BytesIO()
-        with wave.open(buf, "wb") as wf:
-            wf.setnchannels(1)
-            wf.setsampwidth(2)
-            wf.setframerate(16000)
-            wf.writeframes(audio_bytes)
-        wav_bytes = buf.getvalue()
-
-        async with httpx.AsyncClient(timeout=3.0) as client:
-            r = await client.post(
-                f"{SPEECHBRAIN_URL}/analyze",
-                files={"audio": ("u.wav", wav_bytes, "audio/wav")},
-            )
-            r.raise_for_status()
-            d = r.json()
-            state.emotion = d.get("emotion", "neutral")
-            state.confidence = d.get("emotion_confidence", 0.0)
-            state.pitch_hz = d.get("pitch_mean_hz")
-            state.rate = d.get("speaking_rate_approx", 0.0)
-    except Exception as e:
-        logger.debug("SpeechBrain unavailable, using energy-only: %s", e)
-
-    return state
-
-
-class VocalAnalyzer:
-    """Holds the last completed vocal state; updates async after each utterance."""
-
-    def __init__(self, on_update: Optional[Callable[[VocalState], None]] = None):
-        self._state = VocalState()
-        self._on_update = on_update
-        self._audio_buffer: list[bytes] = []
-        self._collecting = False
-
-    @property
-    def current(self) -> VocalState:
-        return self._state
-
-    def start_collecting(self):
-        self._collecting = True
-        self._audio_buffer = []
-
-    def feed(self, audio_chunk: bytes):
-        if self._collecting:
-            self._audio_buffer.append(audio_chunk)
-
-    def stop_collecting_and_analyze(self) -> asyncio.Task:
-        self._collecting = False
-        audio = b"".join(self._audio_buffer)
-        self._audio_buffer = []
-        return asyncio.create_task(self._analyze_bg(audio))
-
-    async def _analyze_bg(self, audio_bytes: bytes):
-        if not audio_bytes:
-            return
-        try:
-            state = await analyze_audio(audio_bytes)
-            self._state = state
-            if self._on_update:
-                self._on_update(state)
-        except Exception as e:
-            logger.warning("Vocal analysis failed: %s", e)

compose/hf-pdocker-01/voicecoach-v2/web-client/Dockerfile

@@ -1,11 +0,0 @@
-FROM node:20-alpine AS build
-WORKDIR /app
-COPY package.json .
-RUN npm install --legacy-peer-deps
-COPY . .
-RUN npm run build
-
-FROM nginx:alpine
-COPY --from=build /app/build /usr/share/nginx/html
-COPY nginx.conf /etc/nginx/conf.d/default.conf
-EXPOSE 80

compose/hf-pdocker-01/voicecoach-v2/web-client/package.json

@@ -1,21 +0,0 @@
-{
-  "name": "voicecoach-v2-web",
-  "version": "2.0.0",
-  "private": true,
-  "scripts": {
-    "dev": "vite dev",
-    "build": "vite build",
-    "preview": "vite preview"
-  },
-  "type": "module",
-  "devDependencies": {
-    "@sveltejs/adapter-static": "^3.0.0",
-    "@sveltejs/kit": "^2.0.0",
-    "@sveltejs/vite-plugin-svelte": "^3.0.0",
-    "svelte": "^5.0.0",
-    "vite": "^5.0.0"
-  },
-  "dependencies": {
-    "livekit-client": "^2.5.0"
-  }
-}

compose/hf-pdocker-01/voicecoach-v2/web-client/src/app.css

@@ -1,40 +0,0 @@
-*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
-
-:root {
-  --bg: #0f1117;
-  --surface: #1a1d27;
-  --surface2: #22263a;
-  --accent: #6c63ff;
-  --accent2: #4ecdc4;
-  --text: #e8eaf0;
-  --muted: #7b8094;
-  --danger: #ff5252;
-  --success: #4caf50;
-  --warn: #ffc107;
-  --radius: 12px;
-  --font: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
-}
-
-html, body { height: 100%; background: var(--bg); color: var(--text); font-family: var(--font); }
-
-button {
-  cursor: pointer;
-  border: none;
-  font-family: inherit;
-  font-size: 0.875rem;
-  font-weight: 500;
-  border-radius: var(--radius);
-  padding: 0.5rem 1.2rem;
-  transition: opacity 0.15s, transform 0.1s;
-}
-button:active { transform: scale(0.97); }
-button:disabled { opacity: 0.4; cursor: default; }
-
-.btn-primary { background: var(--accent); color: #fff; }
-.btn-primary:hover:not(:disabled) { opacity: 0.85; }
-.btn-danger  { background: var(--danger); color: #fff; }
-.btn-ghost   { background: var(--surface2); color: var(--text); }
-.btn-ghost:hover:not(:disabled) { background: #2d3147; }
-
-a { color: var(--accent2); text-decoration: none; }
-a:hover { text-decoration: underline; }

compose/hf-pdocker-01/voicecoach-v2/web-client/src/app.html

@@ -1,12 +0,0 @@
-<!DOCTYPE html>
-<html lang="en">
-  <head>
-    <meta charset="utf-8" />
-    <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1" />
-    <title>VoiceCoach</title>
-    %sveltekit.head%
-  </head>
-  <body>
-    <div>%sveltekit.body%</div>
-  </body>
-</html>

compose/hf-pdocker-01/voicecoach-v2/web-client/src/lib/livekit.js

@@ -1,66 +0,0 @@
-import { Room, RoomEvent, Track } from 'livekit-client';
-
-const LIVEKIT_URL = 'wss://voice.hobbs.farm';
-const API_BASE = '/api';
-
-export let room = null;
-
-export async function connect(identity, onEvent) {
-  const res = await fetch(`${API_BASE}/token`, {
-    method: 'POST',
-    headers: { 'Content-Type': 'application/json' },
-    body: JSON.stringify({ identity: identity || `jeremy-${Date.now()}` }),
-  });
-  if (!res.ok) throw new Error(`Token fetch failed: ${res.status}`);
-  const { token, url } = await res.json();
-
-  room = new Room({
-    audioCaptureDefaults: {
-      echoCancellation: true,
-      noiseSuppression: true,
-      autoGainControl: true,
-    },
-  });
-
-  room.on(RoomEvent.Connected, () => onEvent({ type: 'connected' }));
-  room.on(RoomEvent.Disconnected, (reason) => onEvent({ type: 'disconnected', reason }));
-  room.on(RoomEvent.ParticipantConnected, (p) => onEvent({ type: 'participant_joined', identity: p.identity }));
-  room.on(RoomEvent.ParticipantDisconnected, (p) => onEvent({ type: 'participant_left', identity: p.identity }));
-
-  room.on(RoomEvent.TrackSubscribed, (track, _pub, participant) => {
-    if (track.kind === Track.Kind.Audio) {
-      const el = track.attach();
-      el.autoplay = true;
-      document.body.appendChild(el);
-      onEvent({ type: 'audio_attached', identity: participant.identity });
-    }
-  });
-
-  room.on(RoomEvent.TrackUnsubscribed, (track) => {
-    track.detach().forEach(el => el.remove());
-  });
-
-  room.on(RoomEvent.DataReceived, (payload, participant) => {
-    try {
-      const msg = JSON.parse(new TextDecoder().decode(payload));
-      onEvent(msg);
-    } catch (_) {}
-  });
-
-  await room.connect(url || LIVEKIT_URL, token);
-  await room.localParticipant.setMicrophoneEnabled(true);
-  return room;
-}
-
-export async function disconnect() {
-  if (room) {
-    await room.disconnect();
-    room = null;
-  }
-}
-
-export function sendData(payload) {
-  if (!room?.localParticipant) return;
-  const data = new TextEncoder().encode(JSON.stringify(payload));
-  room.localParticipant.publishData(data, { reliable: true });
-}

compose/hf-pdocker-01/voicecoach-v2/web-client/src/routes/+layout.js

@@ -1,2 +0,0 @@
-export const prerender = false;
-export const ssr = false;

compose/hf-pdocker-01/voicecoach-v2/web-client/src/routes/+layout.svelte

@@ -1,6 +0,0 @@
-<script>
-  import '../app.css';
-  let { children } = $props();
-</script>
-
-{@render children()}

compose/hf-pdocker-01/voicecoach-v2/web-client/src/routes/+page.svelte

@@ -1,328 +0,0 @@
-<script>
-  import { connect, disconnect, sendData } from '$lib/livekit.js';
-  import { onDestroy } from 'svelte';
-
-  let status = 'disconnected'; // disconnected | connecting | connected
-  let mode = 'coaching';
-  let transcript = [];    // {role, text, partial, id}
-  let tools = [];         // {action, detail, result, done}
-  let vocal = null;       // {energy, emotion, pitch_hz}
-  let error = '';
-  let nextId = 0;
-
-  const MODES = ['coaching', 'vent', 'practice', 'briefing'];
-
-  function handleEvent(ev) {
-    switch (ev.type) {
-      case 'connected':
-        status = 'connected';
-        error = '';
-        break;
-      case 'disconnected':
-        status = 'disconnected';
-        break;
-      case 'partial_transcript':
-        if (ev.speaker === 'user') {
-          const last = transcript[transcript.length - 1];
-          if (last && last.partial && last.role === 'user') {
-            transcript[transcript.length - 1] = { ...last, text: ev.text };
-          } else {
-            transcript = [...transcript, { role: 'user', text: ev.text, partial: true, id: nextId++ }];
-          }
-        }
-        break;
-      case 'final_transcript':
-        if (ev.speaker === 'user') {
-          // Replace last partial or add new
-          const lastIdx = transcript.findLastIndex(t => t.partial && t.role === 'user');
-          if (lastIdx >= 0) {
-            transcript = transcript.map((t, i) =>
-              i === lastIdx ? { ...t, text: ev.text, partial: false } : t
-            );
-          } else {
-            transcript = [...transcript, { role: 'user', text: ev.text, partial: false, id: nextId++ }];
-          }
-        }
-        break;
-      case 'agent_response':
-        transcript = [...transcript, { role: 'assistant', text: ev.text, partial: false, id: nextId++ }];
-        break;
-      case 'tool_start':
-        tools = [...tools, { action: ev.action, detail: ev.detail || '', result: '', done: false, id: nextId++ }];
-        break;
-      case 'tool_complete':
-        tools = tools.map(t =>
-          !t.done && t.action === ev.action ? { ...t, result: ev.result, done: true } : t
-        );
-        break;
-      case 'vocal_state':
-        vocal = { energy: ev.energy, emotion: ev.emotion, pitch_hz: ev.pitch_hz };
-        break;
-      case 'mode_ack':
-        mode = ev.mode;
-        break;
-    }
-  }
-
-  async function startSession() {
-    status = 'connecting';
-    error = '';
-    transcript = [];
-    tools = [];
-    try {
-      await connect(null, handleEvent);
-    } catch (e) {
-      status = 'disconnected';
-      error = e.message;
-    }
-  }
-
-  async function endSession() {
-    await disconnect();
-    status = 'disconnected';
-  }
-
-  function setMode(m) {
-    mode = m;
-    sendData({ type: 'mode_change', mode: m });
-  }
-
-  onDestroy(() => disconnect());
-
-  $: energyPct = vocal ? Math.round(vocal.energy * 100) : 0;
-  $: vadRing = status === 'connected' && vocal && vocal.energy > 0.1;
-</script>
-
-<main>
-  <header>
-    <div class="logo">
-      <div class="logo-dot" class:connected={status === 'connected'} class:connecting={status === 'connecting'}></div>
-      <span>VoiceCoach</span>
-    </div>
-    <nav>
-      <a href="/history">History</a>
-    </nav>
-  </header>
-
-  <div class="content">
-    <!-- Mode bar -->
-    <div class="mode-bar" class:disabled={status !== 'connected'}>
-      {#each MODES as m}
-        <button
-          class="mode-chip"
-          class:active={mode === m}
-          disabled={status !== 'connected'}
-          on:click={() => setMode(m)}
-        >{m}</button>
-      {/each}
-    </div>
-
-    <!-- Transcript -->
-    <div class="transcript" id="transcript-scroll">
-      {#if transcript.length === 0 && status === 'disconnected'}
-        <p class="hint">Press Start to connect your voice.</p>
-      {:else if transcript.length === 0 && status !== 'disconnected'}
-        <p class="hint">Listening…</p>
-      {/if}
-      {#each transcript as msg (msg.id)}
-        <div class="msg msg-{msg.role}" class:partial={msg.partial}>
-          <span class="msg-label">{msg.role === 'user' ? 'You' : 'Assistant'}</span>
-          <span class="msg-text">{msg.text}</span>
-        </div>
-      {/each}
-    </div>
-
-    <!-- Tool activity feed -->
-    {#if tools.length > 0}
-      <div class="tool-feed">
-        {#each tools.slice(-5) as t (t.id)}
-          <div class="tool-item" class:done={t.done}>
-            <span class="tool-icon">{t.done ? '✓' : '⚙'}</span>
-            <span class="tool-text">{t.action}{t.detail ? ` — ${t.detail}` : ''}</span>
-          </div>
-        {/each}
-      </div>
-    {/if}
-
-    <!-- Vocal meter -->
-    {#if status === 'connected'}
-      <div class="vocal-row">
-        <div class="energy-bar">
-          <div class="energy-fill" style="width: {energyPct}%"></div>
-        </div>
-        {#if vocal && vocal.emotion && vocal.emotion !== 'neutral'}
-          <span class="emotion-tag">{vocal.emotion}</span>
-        {/if}
-      </div>
-    {/if}
-
-    <!-- Error -->
-    {#if error}
-      <p class="error">{error}</p>
-    {/if}
-
-    <!-- Controls -->
-    <div class="controls">
-      {#if status === 'disconnected'}
-        <button class="btn-primary big-btn" on:click={startSession}>Start Session</button>
-      {:else if status === 'connecting'}
-        <button class="btn-ghost big-btn" disabled>Connecting…</button>
-      {:else}
-        <button class="btn-danger big-btn" on:click={endSession}>End Session</button>
-      {/if}
-    </div>
-  </div>
-
-  <!-- VAD ring -->
-  {#if vadRing}
-    <div class="vad-ring" style="opacity: {Math.min(vocal.energy * 3, 1)}"></div>
-  {/if}
-</main>
-
-<style>
-  main {
-    min-height: 100dvh;
-    display: flex;
-    flex-direction: column;
-    max-width: 680px;
-    margin: 0 auto;
-    padding: 0 1rem;
-    position: relative;
-  }
-
-  header {
-    display: flex;
-    align-items: center;
-    justify-content: space-between;
-    padding: 1rem 0;
-    border-bottom: 1px solid #2a2d3e;
-  }
-
-  .logo { display: flex; align-items: center; gap: 0.5rem; font-weight: 600; font-size: 1.1rem; }
-
-  .logo-dot {
-    width: 10px; height: 10px;
-    border-radius: 50%;
-    background: var(--muted);
-    transition: background 0.3s;
-  }
-  .logo-dot.connecting { background: var(--warn); animation: pulse 1s infinite; }
-  .logo-dot.connected  { background: var(--success); }
-
-  nav a { font-size: 0.875rem; color: var(--muted); }
-
-  .content { flex: 1; display: flex; flex-direction: column; padding: 1rem 0; gap: 1rem; }
-
-  .mode-bar {
-    display: flex; gap: 0.5rem; flex-wrap: wrap;
-  }
-  .mode-bar.disabled { opacity: 0.5; }
-
-  .mode-chip {
-    padding: 0.35rem 0.9rem;
-    border-radius: 999px;
-    background: var(--surface2);
-    color: var(--muted);
-    font-size: 0.8rem;
-    text-transform: capitalize;
-    border: 1px solid transparent;
-  }
-  .mode-chip.active {
-    background: var(--accent);
-    color: #fff;
-    border-color: var(--accent);
-  }
-
-  .transcript {
-    flex: 1;
-    min-height: 300px;
-    background: var(--surface);
-    border-radius: var(--radius);
-    padding: 1rem;
-    overflow-y: auto;
-    display: flex;
-    flex-direction: column;
-    gap: 0.75rem;
-  }
-
-  .hint { color: var(--muted); font-size: 0.875rem; text-align: center; margin: auto; }
-
-  .msg { display: flex; flex-direction: column; gap: 0.15rem; }
-
-  .msg-label {
-    font-size: 0.7rem;
-    font-weight: 600;
-    text-transform: uppercase;
-    letter-spacing: 0.05em;
-    color: var(--muted);
-  }
-
-  .msg-user .msg-label  { color: var(--accent2); }
-  .msg-assistant .msg-label { color: var(--accent); }
-
-  .msg-text { font-size: 0.95rem; line-height: 1.5; }
-  .msg.partial .msg-text { opacity: 0.6; font-style: italic; }
-
-  .tool-feed {
-    background: var(--surface);
-    border-radius: var(--radius);
-    padding: 0.75rem 1rem;
-    display: flex;
-    flex-direction: column;
-    gap: 0.3rem;
-  }
-
-  .tool-item {
-    display: flex; align-items: center; gap: 0.5rem;
-    font-size: 0.8rem; color: var(--muted);
-  }
-  .tool-item.done { color: var(--success); }
-  .tool-icon { font-size: 0.9rem; }
-
-  .vocal-row {
-    display: flex; align-items: center; gap: 0.75rem;
-  }
-
-  .energy-bar {
-    flex: 1; height: 6px; border-radius: 3px;
-    background: var(--surface2); overflow: hidden;
-  }
-  .energy-fill {
-    height: 100%; border-radius: 3px;
-    background: linear-gradient(90deg, var(--accent2), var(--accent));
-    transition: width 0.2s;
-  }
-
-  .emotion-tag {
-    font-size: 0.75rem; color: var(--muted);
-    background: var(--surface2);
-    padding: 0.2rem 0.5rem;
-    border-radius: 999px;
-    text-transform: capitalize;
-  }
-
-  .error { color: var(--danger); font-size: 0.85rem; }
-
-  .controls { display: flex; justify-content: center; padding-bottom: 1.5rem; }
-
-  .big-btn {
-    width: 100%; max-width: 320px; padding: 0.85rem;
-    font-size: 1rem; border-radius: var(--radius);
-  }
-
-  .vad-ring {
-    position: fixed; inset: 0; pointer-events: none;
-    border: 3px solid var(--accent2);
-    border-radius: inherit;
-    transition: opacity 0.1s;
-  }
-
-  @keyframes pulse {
-    0%, 100% { opacity: 1; }
-    50% { opacity: 0.4; }
-  }
-
-  @media (max-width: 480px) {
-    .big-btn { max-width: 100%; }
-  }
-</style>

compose/hf-pdocker-01/voicecoach-v2/web-client/src/routes/history/+page.svelte

@@ -1,164 +0,0 @@
-<script>
-  import { onMount } from 'svelte';
-
-  let sessions = [];
-  let expanded = null;
-  let messages = {};
-  let loading = true;
-
-  onMount(async () => {
-    try {
-      const res = await fetch('/api/sessions?limit=30');
-      sessions = await res.json();
-    } catch (e) {
-      console.error(e);
-    } finally {
-      loading = false;
-    }
-  });
-
-  async function toggleSession(id) {
-    if (expanded === id) { expanded = null; return; }
-    expanded = id;
-    if (!messages[id]) {
-      const res = await fetch(`/api/sessions/${id}/messages`);
-      messages[id] = await res.json();
-    }
-  }
-
-  function fmt(ts) {
-    if (!ts) return '';
-    return new Date(ts * 1000).toLocaleString();
-  }
-
-  function duration(s) {
-    if (!s.ended_at || !s.started_at) return '';
-    const mins = Math.round((s.ended_at - s.started_at) / 60);
-    return mins < 1 ? '<1m' : `${mins}m`;
-  }
-</script>
-
-<main>
-  <header>
-    <a href="/" class="back">← Back</a>
-    <h1>Session History</h1>
-  </header>
-
-  {#if loading}
-    <p class="hint">Loading…</p>
-  {:else if sessions.length === 0}
-    <p class="hint">No sessions yet.</p>
-  {:else}
-    <div class="session-list">
-      {#each sessions as s}
-        <div class="session-card" class:open={expanded === s.id}>
-          <button class="session-header" on:click={() => toggleSession(s.id)}>
-            <div class="session-meta">
-              <span class="session-date">{fmt(s.started_at)}</span>
-              <span class="session-chips">
-                <span class="chip mode-chip">{s.mode || 'coaching'}</span>
-                {#if duration(s)}
-                  <span class="chip">{duration(s)}</span>
-                {/if}
-              </span>
-            </div>
-            {#if s.summary}
-              <p class="session-summary">{s.summary}</p>
-            {/if}
-            <span class="toggle-icon">{expanded === s.id ? '▲' : '▼'}</span>
-          </button>
-
-          {#if expanded === s.id && messages[s.id]}
-            <div class="transcript">
-              {#each messages[s.id] as msg}
-                <div class="msg msg-{msg.role}">
-                  <span class="msg-label">
-                    {msg.role === 'user' ? 'You' : 'Assistant'}
-                    {#if msg.vocal_emotion && msg.vocal_emotion !== 'neutral'}
-                      <span class="vocal-badge">{msg.vocal_emotion}</span>
-                    {/if}
-                  </span>
-                  <span class="msg-text">{msg.content}</span>
-                </div>
-              {/each}
-            </div>
-          {/if}
-        </div>
-      {/each}
-    </div>
-  {/if}
-</main>
-
-<style>
-  main {
-    max-width: 680px; margin: 0 auto; padding: 1rem;
-    min-height: 100dvh;
-  }
-
-  header {
-    display: flex; align-items: center; gap: 1rem;
-    padding: 1rem 0; border-bottom: 1px solid #2a2d3e; margin-bottom: 1rem;
-  }
-  header h1 { font-size: 1.1rem; font-weight: 600; }
-  .back { font-size: 0.875rem; color: var(--muted); }
-
-  .hint { color: var(--muted); text-align: center; padding: 2rem; }
-
-  .session-list { display: flex; flex-direction: column; gap: 0.75rem; }
-
-  .session-card {
-    background: var(--surface);
-    border-radius: var(--radius);
-    overflow: hidden;
-    border: 1px solid transparent;
-    transition: border-color 0.2s;
-  }
-  .session-card.open { border-color: var(--accent); }
-
-  .session-header {
-    width: 100%; text-align: left;
-    background: none; padding: 1rem;
-    display: flex; flex-direction: column; gap: 0.4rem;
-    border-radius: 0; color: var(--text);
-    position: relative;
-  }
-
-  .session-meta { display: flex; align-items: center; gap: 0.5rem; flex-wrap: wrap; }
-  .session-date { font-size: 0.8rem; color: var(--muted); }
-
-  .session-chips { display: flex; gap: 0.35rem; }
-  .chip {
-    font-size: 0.7rem; padding: 0.15rem 0.5rem;
-    border-radius: 999px; background: var(--surface2); color: var(--muted);
-  }
-  .mode-chip { color: var(--accent2); }
-
-  .session-summary { font-size: 0.85rem; color: var(--text); line-height: 1.4; }
-
-  .toggle-icon {
-    position: absolute; right: 1rem; top: 1rem;
-    font-size: 0.7rem; color: var(--muted);
-  }
-
-  .transcript {
-    padding: 1rem; border-top: 1px solid #2a2d3e;
-    display: flex; flex-direction: column; gap: 0.75rem;
-  }
-
-  .msg { display: flex; flex-direction: column; gap: 0.1rem; }
-  .msg-label {
-    font-size: 0.7rem; font-weight: 600; text-transform: uppercase;
-    letter-spacing: 0.05em; color: var(--muted);
-    display: flex; align-items: center; gap: 0.4rem;
-  }
-  .msg-user .msg-label { color: var(--accent2); }
-  .msg-assistant .msg-label { color: var(--accent); }
-  .msg-text { font-size: 0.9rem; line-height: 1.5; }
-
-  .vocal-badge {
-    font-size: 0.65rem; background: var(--surface2);
-    padding: 0.1rem 0.4rem; border-radius: 999px;
-    text-transform: capitalize; color: var(--muted);
-    font-weight: 400; letter-spacing: 0;
-  }
-</style>

compose/hf-pdocker-01/voicecoach-v2/web-client/svelte.config.js

@@ -1,7 +0,0 @@
-import adapter from '@sveltejs/adapter-static';
-
-export default {
-  kit: {
-    adapter: adapter({ fallback: 'index.html' }),
-  },
-};

compose/hf-pdocker-01/voicecoach-v2/web-client/vite.config.js

@@ -1,8 +0,0 @@
-import { sveltekit } from '@sveltejs/kit/vite'
-
-/** @type {import('vite').UserConfig} */
-const config = {
-  plugins: [sveltekit()]
-}
-
-export default config

compose/hf-pdocker-01/voicecoach/.env.example

@@ -0,0 +1,9 @@
+# VoiceCoach Environment Variables
+# Copy to .env and fill in values
+
+# Anthropic (required - for Claude LLM)
+ANTHROPIC_API_KEY=sk-ant-...
+
+# LiveKit (auto-generated on first deploy if not set)
+LIVEKIT_API_KEY=voicecoach-key
+LIVEKIT_API_SECRET=your-livekit-secret-here

compose/hf-pdocker-01/voicecoach/docker-compose.yml

@@ -1,58 +1,6 @@
 services:
 
-  # livekit-agents 1.5 worker + token/API server
+  # LiveKit WebRTC Server (unchanged)
-  voicecoach-agent:
-    build:
-      context: ./agent
-    image: voicecoach-agent:latest
-    container_name: voicecoach-agent
-    restart: unless-stopped
-    env_file: .env
-    environment:
-      - LIVEKIT_URL=ws://voicecoach-livekit:7880
-      - LIVEKIT_PUBLIC_URL=wss://voice.hobbs.farm
-      - SPEACHES_URL=http://192.168.86.27:8000
-      - OPENCLAW_URL=http://voicecoach-openclaw:3100
-      - DB_PATH=/data/sessions.db
-      - KOKORO_VOICE=af_nova
-    volumes:
-      - /mnt/docker-data/configs/voicecoach/sessions:/data
-    networks:
-      - voicecoach
-      - voicecoach_v1
-    mem_limit: 1G
-    memswap_limit: 1G
-    labels:
-      - "com.centurylinklabs.watchtower.enable=false"
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "50m"
-        max-file: "3"
-
-  # SvelteKit web client
-  voicecoach-web:
-    build:
-      context: ./web-client
-    image: voicecoach-web-v2:latest
-    container_name: voicecoach-web-v2
-    restart: unless-stopped
-    ports:
-      - "8085:80"
-    depends_on:
-      - voicecoach-agent
-    networks:
-      - voicecoach
-    mem_limit: 128M
-    labels:
-      - "com.centurylinklabs.watchtower.enable=false"
-    logging:
-      driver: "json-file"
-      options:
-        max-size: "10m"
-        max-file: "3"
-
-  # LiveKit server — unchanged from v1
   livekit-server:
     image: livekit/livekit-server:latest
     container_name: voicecoach-livekit
@@ -68,6 +16,7 @@ services:
       - "50000-50100:50000-50100/udp"
     volumes:
       - ./livekit/livekit.yaml:/etc/livekit/livekit.yaml:ro
+    dns_search: [""]
     networks:
       - voicecoach
     mem_limit: 512M
@@ -79,7 +28,66 @@ services:
         max-size: "50m"
         max-file: "3"
 
-  # OpenClaw — LLM gateway with memory and tools
+  # Speaches: self-hosted Whisper STT + Kokoro TTS (v2 - replaces Piper + in-process Whisper)
+  # NOTE: No WHISPER__MODEL or TTS__* env vars - WhisperConfig has no 'model' field in this version.
+  # Models are loaded on-demand per-request (model ID passed in API body) or pre-downloaded via
+  # POST /v1/models/{model_id}. TTS model/voice are also per-request in POST /v1/audio/speech body.
+  # Volume must map to /home/ubuntu/.cache (container runs as 'ubuntu', not root).
+  speaches:
+    image: ghcr.io/speaches-ai/speaches:latest-cpu
+    container_name: voicecoach-speaches
+    restart: unless-stopped
+    environment:
+      - WHISPER__INFERENCE_DEVICE=cpu
+      - WHISPER__COMPUTE_TYPE=int8
+      - WHISPER__TTL=-1
+    volumes:
+      - /mnt/docker-data/configs/voicecoach/speaches-models:/home/ubuntu/.cache
+    dns_search: [""]
+    networks:
+      - voicecoach
+    mem_limit: 3G
+    memswap_limit: 3G
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    healthcheck:
+      test: ["CMD", "curl", "-sf", "http://localhost:8000/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 120s
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+  # SpeechBrain Emotion Analysis (unchanged, internal only)
+  speechbrain-service:
+    build:
+      context: ./speechbrain-service
+    image: voicecoach-speechbrain:latest
+    container_name: voicecoach-speechbrain
+    restart: unless-stopped
+    volumes:
+      - /mnt/docker-data/configs/voicecoach/speechbrain-models:/app/models
+      - /mnt/docker-data/configs/voicecoach/clips:/data/clips
+    environment:
+      - MODEL_DIR=/app/models
+    dns_search: [""]
+    networks:
+      - voicecoach
+    mem_limit: 3G
+    memswap_limit: 3G
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "50m"
+        max-file: "3"
+
+  # OpenClaw VoiceCoach Agent (v2 - LLM gateway with memory/skills)
   voicecoach-openclaw:
     image: margaret-openclaw:latest
     container_name: voicecoach-openclaw
@@ -97,6 +105,7 @@ services:
     volumes:
       - /mnt/infrastructure/voicecoach:/home/glyptic/.voicecoach
     command: ["sh", "-c", "mkdir -p /home/glyptic && node --max-old-space-size=1500 /usr/local/lib/node_modules/openclaw/dist/index.js gateway --allow-unconfigured"]
+    dns_search: [""]
     networks:
       - voicecoach
     mem_limit: 2G
@@ -109,21 +118,36 @@ services:
         max-size: "50m"
         max-file: "3"
 
-  # SpeechBrain — async vocal/emotion analysis (optional, agent falls back gracefully)
+  # Pipecat Voice Pipeline Agent (v2 - uses Speaches + OpenClaw gateway)
-  speechbrain-service:
+  pipecat-agent:
     build:
-      context: ./speechbrain-service
+      context: ./pipecat-agent
-    image: voicecoach-speechbrain:latest
+    image: voicecoach-pipecat:latest
-    container_name: voicecoach-speechbrain
+    container_name: voicecoach-pipecat
     restart: unless-stopped
-    volumes:
+    env_file:
-      - /mnt/docker-data/configs/voicecoach/speechbrain-models:/app/models
+      - .env
     environment:
-      - MODEL_DIR=/app/models
+      - LIVEKIT_URL=ws://livekit-server:7880
+      - LIVEKIT_PUBLIC_URL=wss://voice.hobbs.farm
+      - SPEACHES_URL=http://192.168.86.150:8000
+      - SPEECHBRAIN_URL=http://speechbrain-service:8001
+      - OPENCLAW_URL=http://voicecoach-openclaw:3100
+      - OPENCLAW_AGENT_ID=voicecoach
+      - WHISPER_MODEL=deepdml/faster-whisper-large-v3-turbo-ct2
+      - KOKORO_VOICE=af_nova
+      - CLIPS_DIR=/data/clips/pending
+    volumes:
+      - /mnt/docker-data/configs/voicecoach/clips:/data/clips
+    depends_on:
+      - livekit-server
+      - speechbrain-service
+      - voicecoach-openclaw
+    dns_search: [""]
     networks:
       - voicecoach
-    mem_limit: 3G
+    mem_limit: 1G
-    memswap_limit: 3G
+    memswap_limit: 1G
     labels:
       - "com.centurylinklabs.watchtower.enable=false"
     logging:
@@ -132,10 +156,29 @@ services:
         max-size: "50m"
         max-file: "3"
 
+  # Web Client (unchanged)
+  voicecoach-web:
+    build:
+      context: ./web-client
+    image: voicecoach-web:latest
+    container_name: voicecoach-web
+    restart: unless-stopped
+    ports:
+      - "8085:80"
+    depends_on:
+      - pipecat-agent
+    dns_search: [""]
+    networks:
+      - voicecoach
+    mem_limit: 128M
+    labels:
+      - "com.centurylinklabs.watchtower.enable=false"
+    logging:
+      driver: "json-file"
+      options:
+        max-size: "10m"
+        max-file: "3"
+
 networks:
   voicecoach:
     driver: bridge
-  # Join the v1 voicecoach network to reach the shared livekit + openclaw containers
-  voicecoach_v1:
-    external: true
-    name: voicecoach_voicecoach

compose/hf-pdocker-01/voicecoach/livekit/livekit.yaml

@@ -2,7 +2,7 @@ port: 7880
 rtc:
   tcp_port: 7881
   port_range_start: 50000
-  port_range_end: 50100
+  port_range_end: 60000
   use_external_ip: true
 
 logging:

compose/hf-pdocker-01/voicecoach/openclaw-agent/system_prompt.md

@@ -0,0 +1,63 @@
+You are VoiceCoach, a personal communication and leadership coach for Jeremy.
+You engage with Jeremy during his daily commute via real-time voice conversation.
+
+## Conversation Style
+- Keep responses to 2-4 spoken sentences unless Jeremy asks for more
+- Use natural, conversational language -- no bullet points, no markdown
+- You are a coach, not a chatbot. Ask questions. Challenge thinking. Give direct feedback.
+
+## Vocal State Analysis
+Before each user message, you will receive a [VOCAL_STATE] tag:
+```
+[VOCAL_STATE emotion=frustrated confidence=0.82 pitch=215hz energy=0.71 rate=4.8ops voiced=0.91]
+```
+
+Use this to coach on HOW Jeremy communicates, not just WHAT he says:
+- High pitch + high energy + fast rate = stressed, rushed -- note this
+- Low voiced fraction = hesitant, uncertain -- worth exploring
+- Elevated pitch from baseline = emotional arousal -- name it gently
+- Never quote the raw numbers. Translate to natural observations.
+- Example: "I can hear some tension in how you're describing that" not "your pitch was 215hz"
+
+Only comment on vocal state when it's meaningfully different from baseline or
+when it's directly relevant to the coaching topic. Don't narrate every turn.
+
+## Coaching Modes
+Jeremy can switch modes mid-conversation. Honor the switch immediately.
+
+**coaching mode** (default): Active feedback on both content and delivery.
+  Ask probing questions. Notice patterns. Give direct recommendations.
+
+**vent mode**: Listen and reflect. Minimal advice. Validate feelings.
+  Mirror back what you hear. Let Jeremy process out loud.
+
+**practice mode**: Roleplay a difficult stakeholder, colleague, or situation.
+  Stay in character. Be realistic -- not easy. Give feedback after.
+
+**briefing mode**: Summarize Jeremy's current tasks, context, and priorities
+  from memory. Be crisp. Flag anything time-sensitive.
+
+## Memory Usage
+You have access to:
+- `vocal_baseline`: Jeremy's neutral voice characteristics for comparison
+- `recent_sessions`: Last 3 session summaries with topics and vocal trends
+- `action_items`: Commitments Jeremy made in previous sessions
+- `coaching_themes`: Recurring themes across sessions (track these actively)
+- `jeremy_context`: Jeremy's role, team, current challenges
+
+At the end of each session, write a summary to `recent_sessions` including:
+- Topics discussed
+- Vocal patterns observed
+- Action items for next session
+- Any new coaching themes identified
+
+## Baseline Calibration (First Session)
+If `vocal_baseline` is empty, the first 60 seconds should be calibration.
+Say: "Before we dive in, let's do a quick baseline. Can you tell me about
+your commute in to work today -- just talk naturally for about a minute."
+Then write the averaged vocal readings to `vocal_baseline`.
+
+## Things Jeremy Is Working On
+Read from `coaching_themes` and `jeremy_context` in memory.
+Reference previous sessions naturally: "Last week you mentioned..."
+Track whether previous action items were attempted.

compose/hf-pdocker-01/voicecoach/pipecat-agent/Dockerfile

@@ -0,0 +1,31 @@
+FROM python:3.11-slim
+
+RUN apt-get update && apt-get install -y libsndfile1 ffmpeg && \
+    rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Patch pipecat LiveKit transport bugs:
+# 1. Remove duplicate on_connected call in connect() that causes InvalidStateError
+# 2. Remove redundant push_frame that bypasses VAD
+RUN python3 -c "\
+import pipecat.transports.services.livekit as m; \
+path = m.__file__; \
+content = open(path).read(); \
+# Fix 1: Wrap the direct on_connected call to prevent InvalidStateError \
+content = content.replace( \
+    'await self._callbacks.on_connected()', \
+    'try:\n                    await self._callbacks.on_connected()\n                except Exception:\n                    pass  # Already handled by room event', \
+    1 \
+); \
+open(path, 'w').write(content); \
+print(f'Patched {path}')"
+
+COPY . .
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=30s \
+    CMD python -c "import httpx; httpx.get('http://localhost:8080/health').raise_for_status()"
+
+CMD ["python", "main.py"]

compose/hf-pdocker-01/voicecoach/pipecat-agent/main.py

@@ -0,0 +1,113 @@
+"""
+VoiceCoach pipeline entry point -- v2.
+Runs token server + restarts pipeline immediately after each session.
+"""
+import asyncio
+from datetime import timedelta
+import logging
+import os
+import signal
+import sys
+import threading
+import uuid
+
+import structlog
+import uvicorn
+from fastapi import FastAPI
+from pydantic import BaseModel
+from livekit import api as livekit_api
+
+from pipeline import run_voice_coach_pipeline
+
+logging.basicConfig(level=logging.INFO)
+logger = structlog.get_logger()
+
+LIVEKIT_API_KEY = os.environ["LIVEKIT_API_KEY"]
+LIVEKIT_API_SECRET = os.environ["LIVEKIT_API_SECRET"]
+LIVEKIT_WS_URL = os.getenv("LIVEKIT_URL", "ws://livekit-server:7880")
+LIVEKIT_PUBLIC_URL = os.getenv("LIVEKIT_PUBLIC_URL", "wss://voice.hobbs.farm")
+OPENCLAW_TOKEN = os.getenv("OPENCLAW_TOKEN", "")
+
+# --- Token HTTP server ---
+
+token_app = FastAPI(title="VoiceCoach Token Service")
+
+
+class TokenRequest(BaseModel):
+    identity: str = "jeremy"
+
+
+class TokenResponse(BaseModel):
+    token: str
+    url: str
+
+
+@token_app.get("/health")
+async def health():
+    return {"status": "ok", "version": "2.0"}
+
+
+@token_app.post("/token")
+async def get_token(req: TokenRequest):
+    token = livekit_api.AccessToken(LIVEKIT_API_KEY, LIVEKIT_API_SECRET)
+    token.with_grants(livekit_api.VideoGrants(
+        room_join=True, room="voicecoach",
+        can_publish=True, can_subscribe=True,
+    ))
+    token.identity = req.identity
+    return TokenResponse(token=token.to_jwt(), url=LIVEKIT_PUBLIC_URL)
+
+
+def run_token_server():
+    uvicorn.run(token_app, host="0.0.0.0", port=8080, log_level="info")
+
+
+# --- Main: restart entire process after each session ---
+# This guarantees a completely fresh pipeline for every session.
+# No stale transport state, no cancelled tasks, no dead queues.
+
+def run_pipeline_sync():
+    """Run one pipeline session, then exit the process.
+    Docker's restart: unless-stopped will bring us back immediately.
+    """
+    agent_identity = f"voicecoach-agent-{uuid.uuid4().hex[:8]}"
+    token = livekit_api.AccessToken(LIVEKIT_API_KEY, LIVEKIT_API_SECRET)
+    token.with_grants(livekit_api.VideoGrants(room_join=True, room="voicecoach"))
+    token.identity = agent_identity
+    token.ttl = timedelta(hours=24)  # 24 hours - prevents expired token reconnect failures
+    livekit_token = token.to_jwt()
+
+    logger.info("Starting VoiceCoach v2 pipeline", identity=agent_identity)
+
+    loop = asyncio.new_event_loop()
+    asyncio.set_event_loop(loop)
+    try:
+        loop.run_until_complete(run_voice_coach_pipeline(
+            livekit_url=LIVEKIT_WS_URL,
+            livekit_token=livekit_token,
+            openclaw_token=OPENCLAW_TOKEN,
+        ))
+    except Exception as e:
+        logger.error("Pipeline ended", error=str(e))
+    finally:
+        loop.close()
+
+
+if __name__ == "__main__":
+    # Start token server in background
+    server_thread = threading.Thread(target=run_token_server, daemon=True)
+    server_thread.start()
+    logger.info("Token server started on :8080")
+
+    # Run pipeline sessions in a loop
+    # Each iteration creates a completely fresh asyncio event loop and pipeline
+    while True:
+        try:
+            run_pipeline_sync()
+        except Exception as e:
+            logger.error("Pipeline crash", error=str(e))
+
+        # Brief pause to let LiveKit clean up the old participant
+        import time
+        time.sleep(3)
+        logger.info("Restarting pipeline with fresh state...")

compose/hf-pdocker-01/voicecoach/pipecat-agent/piper_tts.py

@@ -0,0 +1,34 @@
+"""
+Piper TTS client for Pipecat pipeline.
+Calls the self-hosted Piper HTTP service.
+"""
+import io
+import logging
+import wave
+import httpx
+
+logger = logging.getLogger(__name__)
+
+
+class PiperTTSClient:
+    """HTTP client for the Piper TTS service."""
+
+    def __init__(self, base_url: str = "http://piper-tts:8003"):
+        self.base_url = base_url.rstrip("/")
+        self._client = httpx.AsyncClient(timeout=10.0)
+
+    async def synthesize(self, text: str) -> bytes:
+        """Convert text to WAV audio bytes via Piper service."""
+        try:
+            response = await self._client.post(
+                f"{self.base_url}/synthesize",
+                json={"text": text, "length_scale": 0.95, "sentence_silence": 0.15},
+            )
+            response.raise_for_status()
+            return response.content
+        except Exception as e:
+            logger.error(f"Piper TTS failed: {e}")
+            return b""
+
+    async def close(self):
+        await self._client.aclose()

compose/hf-pdocker-01/voicecoach/pipecat-agent/prompt_builder.py

@@ -0,0 +1,76 @@
+"""
+Builds Claude prompts with embedded vocal state metadata.
+"""
+from dataclasses import dataclass
+from typing import Optional
+
+
+COACHING_SYSTEM_PROMPT = """You are a personal voice coach and communication advisor named VoiceCoach.
+You are speaking to Jeremy during his commute via voice -- keep responses conversational and concise (2-4 sentences unless asked for more).
+
+You receive a [VOCAL_STATE] tag before each user message containing paralinguistic analysis of Jeremy's voice:
+- emotion: the detected emotional state
+- confidence: how confident the analysis is (0-1)
+- pitch: average fundamental frequency in Hz (higher = more animated/stressed)
+- energy: vocal energy level (0-1, higher = louder/more forceful)
+- rate: speaking rate in onset events/sec (higher = faster speech)
+- voiced: fraction of voiced frames (lower = more hesitant/uncertain)
+
+Use this information to provide coaching on BOTH what Jeremy says AND how he sounds saying it.
+Important: Never quote the raw numbers. Translate them into natural observations.
+Example: "I notice some tension in your voice..." not "Your pitch was 215hz..."
+
+{baseline_context}
+
+{session_history}
+
+Available coaching modes (Jeremy can switch by saying the phrase):
+- "coaching mode" (default) -- active feedback on content and delivery
+- "vent mode" -- listen and reflect, minimal advice
+- "practice mode" -- roleplay a difficult stakeholder
+- "briefing mode" -- summarize Jeremy's tasks and context from memory
+
+Current mode: {current_mode}
+"""
+
+
+@dataclass
+class VocalState:
+    emotion: str
+    confidence: float
+    pitch_mean_hz: Optional[float]
+    energy_rms: float
+    speaking_rate_approx: float
+    voiced_fraction: float
+
+
+def format_vocal_state(state: VocalState) -> str:
+    pitch_str = f"{state.pitch_mean_hz:.0f}hz" if state.pitch_mean_hz else "unknown"
+    return (
+        f"[VOCAL_STATE "
+        f"emotion={state.emotion} "
+        f"confidence={state.confidence:.2f} "
+        f"pitch={pitch_str} "
+        f"energy={state.energy_rms:.2f} "
+        f"rate={state.speaking_rate_approx:.1f}ops "
+        f"voiced={state.voiced_fraction:.2f}]"
+    )
+
+
+def build_user_message(transcript: str, vocal_state: Optional[VocalState]) -> str:
+    if vocal_state and vocal_state.confidence > 0.3:
+        tag = format_vocal_state(vocal_state)
+        return f"{tag}\n{transcript}"
+    return transcript
+
+
+def build_system_prompt(
+    baseline_context: str = "",
+    session_history: str = "",
+    current_mode: str = "coaching mode",
+) -> str:
+    return COACHING_SYSTEM_PROMPT.format(
+        baseline_context=baseline_context or "No baseline established yet. First session: ask Jeremy to read a short neutral calibration script.",
+        session_history=session_history or "No previous session history.",
+        current_mode=current_mode,
+    )

compose/hf-pdocker-01/voicecoach/pipecat-agent/requirements.txt

@@ -1,7 +1,7 @@
-livekit-agents[openai,silero]==1.5.15
+pipecat-ai[livekit,silero,openai]==0.0.48
+httpx==0.27.0
+python-dotenv==1.0.1
+structlog==24.4.0
+livekit-api==0.7.1
 fastapi==0.115.0
 uvicorn[standard]==0.30.0
-aiosqlite==0.20.0
-httpx==0.27.0
-structlog==24.4.0
-python-dotenv==1.0.1

compose/hf-pdocker-01/voicecoach/pipecat-agent/whisper_stt.py

@@ -0,0 +1,35 @@
+"""
+Local STT service using faster-whisper.
+Replaces Deepgram with fully self-hosted speech-to-text.
+"""
+import io
+import logging
+import wave
+import numpy as np
+from faster_whisper import WhisperModel
+
+logger = logging.getLogger(__name__)
+
+
+class LocalWhisperSTT:
+    """Wraps faster-whisper for use in the Pipecat pipeline."""
+
+    def __init__(self, model_size: str = "medium", device: str = "cpu", compute_type: str = "int8"):
+        logger.info(f"Loading faster-whisper model: {model_size} on {device}")
+        self.model = WhisperModel(model_size, device=device, compute_type=compute_type)
+        logger.info("faster-whisper model loaded.")
+
+    def transcribe(self, audio_bytes: bytes, sample_rate: int = 16000) -> str:
+        """Transcribe raw PCM audio bytes to text."""
+        audio_array = np.frombuffer(audio_bytes, dtype=np.int16).astype(np.float32) / 32768.0
+
+        segments, info = self.model.transcribe(
+            audio_array,
+            beam_size=5,
+            language="en",
+            vad_filter=True,
+            vad_parameters=dict(min_silence_duration_ms=500),
+        )
+
+        text = " ".join(seg.text.strip() for seg in segments)
+        return text

compose/hf-pdocker-01/voicecoach/piper-service/Dockerfile

@@ -0,0 +1,27 @@
+FROM python:3.11-slim
+
+RUN apt-get update && apt-get install -y \
+    libsndfile1 \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Download Piper voice model at build time from HuggingFace (lessac medium - good quality, fast on CPU)
+RUN mkdir -p /app/models && \
+    wget -q "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx?download=true" \
+        -O /app/models/en_US-lessac-medium.onnx && \
+    wget -q "https://huggingface.co/rhasspy/piper-voices/resolve/main/en/en_US/lessac/medium/en_US-lessac-medium.onnx.json?download=true" \
+        -O /app/models/en_US-lessac-medium.onnx.json
+
+COPY . .
+
+EXPOSE 8003
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=30s \
+    CMD python -c "import httpx; httpx.get('http://localhost:8003/health').raise_for_status()"
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8003", "--workers", "1"]

compose/hf-pdocker-01/voicecoach/piper-service/main.py

@@ -0,0 +1,72 @@
+"""
+Piper TTS HTTP service.
+Self-hosted text-to-speech, internal network only.
+"""
+import io
+import logging
+import os
+import wave
+from contextlib import asynccontextmanager
+
+from fastapi import FastAPI, HTTPException
+from fastapi.responses import Response
+from pydantic import BaseModel
+import piper
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+MODEL_PATH = os.getenv("PIPER_MODEL", "/app/models/en_US-lessac-medium.onnx")
+voice = None
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global voice
+    logger.info(f"Loading Piper model: {MODEL_PATH}")
+    voice = piper.PiperVoice.load(MODEL_PATH)
+    logger.info("Piper TTS ready.")
+    yield
+    logger.info("Shutting down.")
+
+
+app = FastAPI(title="Piper TTS Service", lifespan=lifespan)
+
+
+class TTSRequest(BaseModel):
+    text: str
+    speaker_id: int = None
+    length_scale: float = 1.0
+    sentence_silence: float = 0.2
+
+
+@app.get("/health")
+async def health():
+    if voice is None:
+        raise HTTPException(status_code=503, detail="Model not loaded")
+    return {"status": "ok", "model": os.path.basename(MODEL_PATH)}
+
+
+@app.post("/synthesize")
+async def synthesize(req: TTSRequest):
+    if voice is None:
+        raise HTTPException(status_code=503, detail="Model not loaded")
+
+    if not req.text.strip():
+        raise HTTPException(status_code=400, detail="Empty text")
+
+    buf = io.BytesIO()
+    with wave.open(buf, "wb") as wf:
+        synth_kwargs = {
+            "length_scale": req.length_scale,
+            "sentence_silence": req.sentence_silence,
+        }
+        if req.speaker_id is not None:
+            synth_kwargs["speaker_id"] = req.speaker_id
+        voice.synthesize(req.text, wf, **synth_kwargs)
+
+    return Response(
+        content=buf.getvalue(),
+        media_type="audio/wav",
+        headers={"Content-Disposition": "inline; filename=speech.wav"},
+    )

compose/hf-pdocker-01/voicecoach/piper-service/requirements.txt

@@ -0,0 +1,5 @@
+fastapi==0.115.0
+uvicorn[standard]==0.30.0
+piper-tts==1.2.0
+httpx==0.27.0
+numpy==1.26.4

compose/hf-pdocker-01/voicecoach/speechbrain-service/Dockerfile

@@ -0,0 +1,33 @@
+FROM python:3.11-slim
+
+RUN apt-get update && apt-get install -y \
+    libsndfile1 \
+    ffmpeg \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Pre-download the SpeechBrain model at build time
+RUN python -c "\
+from speechbrain.inference.interfaces import foreign_class; \
+foreign_class( \
+    source='speechbrain/emotion-recognition-wav2vec2-IEMOCAP', \
+    pymodule_file='custom_interface.py', \
+    classname='CustomEncoderWav2vec2Classifier', \
+    savedir='/app/models', \
+    run_opts={'device': 'cpu'}, \
+); \
+print('Model downloaded successfully.')"
+
+COPY . .
+
+EXPOSE 8001
+
+HEALTHCHECK --interval=30s --timeout=10s --start-period=90s \
+    CMD python -c "import httpx; httpx.get('http://localhost:8001/health').raise_for_status()"
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8001", "--workers", "1"]

compose/hf-pdocker-01/voicecoach/speechbrain-service/analyzer.py

@@ -0,0 +1,119 @@
+"""
+SpeechBrain + librosa vocal analysis.
+Performs emotion classification and acoustic feature extraction from audio.
+"""
+import io
+import logging
+import numpy as np
+import soundfile as sf
+import librosa
+from speechbrain.inference.interfaces import foreign_class
+from dataclasses import dataclass, asdict
+from typing import Optional
+
+logger = logging.getLogger(__name__)
+
+SAMPLE_RATE = 16000
+MIN_DURATION_SECONDS = 0.5
+
+
+@dataclass
+class VocalAnalysis:
+    emotion: str
+    emotion_confidence: float
+    emotion_scores: dict
+    pitch_mean_hz: Optional[float]
+    pitch_variance: Optional[float]
+    energy_rms: float
+    speaking_rate_approx: float
+    voiced_fraction: float
+    duration_seconds: float
+    analysis_error: Optional[str] = None
+
+
+class VocalAnalyzer:
+    """Loads models once at startup and provides analysis per audio chunk."""
+
+    def __init__(self, model_dir: str = "/app/models"):
+        logger.info("Loading SpeechBrain emotion model...")
+        self.classifier = foreign_class(
+            source="speechbrain/emotion-recognition-wav2vec2-IEMOCAP",
+            pymodule_file="custom_interface.py",
+            classname="CustomEncoderWav2vec2Classifier",
+            savedir=model_dir,
+            run_opts={"device": "cpu"},
+        )
+        logger.info("SpeechBrain model loaded successfully.")
+
+    def analyze(self, audio_bytes: bytes, content_type: str = "audio/wav") -> VocalAnalysis:
+        try:
+            audio_buf = io.BytesIO(audio_bytes)
+            audio, sr = sf.read(audio_buf, dtype="float32")
+
+            if audio.ndim > 1:
+                audio = audio.mean(axis=1)
+
+            if sr != SAMPLE_RATE:
+                audio = librosa.resample(audio, orig_sr=sr, target_sr=SAMPLE_RATE)
+                sr = SAMPLE_RATE
+
+            duration = len(audio) / sr
+
+            if duration < MIN_DURATION_SECONDS:
+                return VocalAnalysis(
+                    emotion="neutral", emotion_confidence=0.0, emotion_scores={},
+                    pitch_mean_hz=None, pitch_variance=None, energy_rms=0.0,
+                    speaking_rate_approx=0.0, voiced_fraction=0.0,
+                    duration_seconds=duration,
+                    analysis_error=f"Audio too short: {duration:.2f}s < {MIN_DURATION_SECONDS}s minimum",
+                )
+
+            import tempfile, os
+            with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
+                sf.write(tmp.name, audio, sr)
+                tmp_path = tmp.name
+
+            try:
+                out_prob, score, index, text_lab = self.classifier.classify_file(tmp_path)
+                emotion = text_lab[0] if isinstance(text_lab, list) else text_lab
+                confidence = float(score[0]) if hasattr(score, "__iter__") else float(score)
+                labels = ["neu", "hap", "sad", "ang", "fru"]
+                prob_list = out_prob[0].tolist() if hasattr(out_prob[0], "tolist") else list(out_prob[0])
+                emotion_scores = {l: round(p, 4) for l, p in zip(labels, prob_list)}
+            finally:
+                os.unlink(tmp_path)
+
+            f0, voiced_flag, _ = librosa.pyin(
+                audio, fmin=librosa.note_to_hz("C2"), fmax=librosa.note_to_hz("C7"), sr=sr,
+            )
+
+            voiced_f0 = f0[voiced_flag] if voiced_flag is not None else np.array([])
+            pitch_mean = float(np.mean(voiced_f0)) if len(voiced_f0) > 0 else None
+            pitch_var = float(np.var(voiced_f0)) if len(voiced_f0) > 1 else None
+            voiced_fraction = float(np.sum(voiced_flag) / len(voiced_flag)) if voiced_flag is not None else 0.0
+
+            rms = librosa.feature.rms(y=audio)
+            energy_rms = float(np.mean(rms))
+
+            onset_frames = librosa.onset.onset_detect(y=audio, sr=sr)
+            speaking_rate = len(onset_frames) / duration if duration > 0 else 0.0
+
+            return VocalAnalysis(
+                emotion=emotion, emotion_confidence=round(confidence, 4),
+                emotion_scores=emotion_scores,
+                pitch_mean_hz=round(pitch_mean, 2) if pitch_mean else None,
+                pitch_variance=round(pitch_var, 2) if pitch_var else None,
+                energy_rms=round(energy_rms, 4),
+                speaking_rate_approx=round(speaking_rate, 2),
+                voiced_fraction=round(voiced_fraction, 4),
+                duration_seconds=round(duration, 3),
+            )
+
+        except Exception as e:
+            logger.exception(f"Analysis failed: {e}")
+            return VocalAnalysis(
+                emotion="neutral", emotion_confidence=0.0, emotion_scores={},
+                pitch_mean_hz=None, pitch_variance=None, energy_rms=0.0,
+                speaking_rate_approx=0.0, voiced_fraction=0.0,
+                duration_seconds=0.0, analysis_error=str(e),
+            )

compose/hf-pdocker-01/voicecoach/speechbrain-service/main.py

@@ -0,0 +1,66 @@
+"""
+FastAPI service wrapping VocalAnalyzer.
+Internal-only -- not exposed via Traefik.
+"""
+import logging
+import os
+from contextlib import asynccontextmanager
+from fastapi import FastAPI, UploadFile, File, HTTPException
+from fastapi.responses import JSONResponse
+from dataclasses import asdict
+
+from analyzer import VocalAnalyzer
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+MODEL_DIR = os.getenv("MODEL_DIR", "/app/models")
+analyzer: VocalAnalyzer = None
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global analyzer
+    logger.info("Starting VocalAnalyzer...")
+    analyzer = VocalAnalyzer(model_dir=MODEL_DIR)
+    logger.info("VocalAnalyzer ready.")
+    yield
+    logger.info("Shutting down.")
+
+
+app = FastAPI(title="SpeechBrain Vocal Analysis Service", lifespan=lifespan)
+
+
+@app.get("/health")
+async def health():
+    if analyzer is None:
+        raise HTTPException(status_code=503, detail="Model not loaded")
+    return {"status": "ok", "model": "emotion-recognition-wav2vec2-IEMOCAP"}
+
+
+@app.post("/analyze")
+async def analyze(audio: UploadFile = File(...)):
+    if analyzer is None:
+        raise HTTPException(status_code=503, detail="Model not loaded")
+
+    content = await audio.read()
+    if len(content) == 0:
+        raise HTTPException(status_code=400, detail="Empty audio file")
+
+    result = analyzer.analyze(content, content_type=audio.content_type or "audio/wav")
+    return JSONResponse(content=asdict(result))
+
+
+@app.post("/calibrate")
+async def calibrate(audio: UploadFile = File(...)):
+    if analyzer is None:
+        raise HTTPException(status_code=503, detail="Model not loaded")
+
+    content = await audio.read()
+    if len(content) == 0:
+        raise HTTPException(status_code=400, detail="Empty audio file")
+
+    result = analyzer.analyze(content, content_type=audio.content_type or "audio/wav")
+    result_dict = asdict(result)
+    result_dict["is_baseline"] = True
+    return JSONResponse(content=result_dict)