cleanup

md
test: fix WebSocket chat tests using async approach
2026-03-22 07:06:47 +00:00 · 2026-01-13 12:46:03 -05:00 · 2026-01-13 12:44:43 -05:00 · 2026-01-12 20:17:42 -05:00 · 2026-01-12 20:08:59 -05:00 · 2026-01-12 19:59:01 -05:00
116 changed files with 2458 additions and 5658 deletions
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,5 @@
 .DS_Store
 server/.env
-server/.env.production
 .env
 Caddyfile
 server/exportdanswer
--- a/.gitleaksignore
+++ b/.gitleaksignore
@@ -3,5 +3,3 @@ docs/docs/installation/auth-setup.md:curl-auth-header:250
 docs/docs/installation/daily-setup.md:curl-auth-header:277
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:74
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:83
-server/reflector/worker/process.py:generic-api-key:465
-server/reflector/worker/process.py:generic-api-key:594
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,76 +1,5 @@
 # Changelog

-## [0.33.0](https://github.com/Monadical-SAS/reflector/compare/v0.32.2...v0.33.0) (2026-02-05)
-
-
-### Features
-
-* Daily+hatchet default ([#846](https://github.com/Monadical-SAS/reflector/issues/846)) ([15ab2e3](https://github.com/Monadical-SAS/reflector/commit/15ab2e306eacf575494b4b5d2b2ad779d44a1c7f))
-
-
-### Bug Fixes
-
-* websocket tests ([#825](https://github.com/Monadical-SAS/reflector/issues/825)) ([1ce1c7a](https://github.com/Monadical-SAS/reflector/commit/1ce1c7a910b6c374115d2437b17f9d288ef094dc))
-
-## [0.32.2](https://github.com/Monadical-SAS/reflector/compare/v0.32.1...v0.32.2) (2026-02-03)
-
-
-### Bug Fixes
-
-* increase TIMEOUT_MEDIUM from 2m to 5m for LLM tasks ([#843](https://github.com/Monadical-SAS/reflector/issues/843)) ([4acde4b](https://github.com/Monadical-SAS/reflector/commit/4acde4b7fdef88cc02ca12cf38c9020b05ed96ac))
-* make caddy optional ([#841](https://github.com/Monadical-SAS/reflector/issues/841)) ([a2ed7d6](https://github.com/Monadical-SAS/reflector/commit/a2ed7d60d557b551a5b64e4dfd909b63a791d9fc))
-* use Daily API recording.duration as master source for transcript duration ([#844](https://github.com/Monadical-SAS/reflector/issues/844)) ([8707c66](https://github.com/Monadical-SAS/reflector/commit/8707c6694a80c939b6214bbc13331741f192e082))
-
-## [0.32.1](https://github.com/Monadical-SAS/reflector/compare/v0.32.0...v0.32.1) (2026-01-30)
-
-
-### Bug Fixes
-
-* daily multitrack pipeline finalze dependency fix ([23eb137](https://github.com/Monadical-SAS/reflector/commit/23eb1371cb9348c4b81eb12ad506b582f8a4799e))
-* match httpx pad with hatchet audio timeout ([c05d1f0](https://github.com/Monadical-SAS/reflector/commit/c05d1f03cd8369fc06efd455527e50246887efd0))
-
-## [0.32.0](https://github.com/Monadical-SAS/reflector/compare/v0.31.0...v0.32.0) (2026-01-30)
-
-
-### Features
-
-* modal padding ([#837](https://github.com/Monadical-SAS/reflector/issues/837)) ([7fde64e](https://github.com/Monadical-SAS/reflector/commit/7fde64e2529a1d37b0f7507c62d983a7bd0b5b89))
-
-## [0.31.0](https://github.com/Monadical-SAS/reflector/compare/v0.30.0...v0.31.0) (2026-01-23)
-
-
-### Features
-
-* mixdown optional ([#834](https://github.com/Monadical-SAS/reflector/issues/834)) ([fc3ef6c](https://github.com/Monadical-SAS/reflector/commit/fc3ef6c8933231c731fad84e7477a476a6220a5e))
-
-## [0.30.0](https://github.com/Monadical-SAS/reflector/compare/v0.29.0...v0.30.0) (2026-01-23)
-
-
-### Features
-
-* brady bunch ([#816](https://github.com/Monadical-SAS/reflector/issues/816)) ([6c175a1](https://github.com/Monadical-SAS/reflector/commit/6c175a11d8a3745095bfad06a4ad3ccdfd278433))
-
-## [0.29.0](https://github.com/Monadical-SAS/reflector/compare/v0.28.1...v0.29.0) (2026-01-21)
-
-
-### Features
-
-* set hatchet as default for multitracks ([#822](https://github.com/Monadical-SAS/reflector/issues/822)) ([c723752](https://github.com/Monadical-SAS/reflector/commit/c723752b7e15aa48a41ad22856f147a5517d3f46))
-
-## [0.28.1](https://github.com/Monadical-SAS/reflector/compare/v0.28.0...v0.28.1) (2026-01-21)
-
-
-### Bug Fixes
-
-* ics non-sync bugfix ([#823](https://github.com/Monadical-SAS/reflector/issues/823)) ([23d2bc2](https://github.com/Monadical-SAS/reflector/commit/23d2bc283d4d02187b250d2055103e0374ee93d6))
-
-## [0.28.0](https://github.com/Monadical-SAS/reflector/compare/v0.27.0...v0.28.0) (2026-01-20)
-
-
-### Features
-
-* worker affinity ([#819](https://github.com/Monadical-SAS/reflector/issues/819)) ([3b6540e](https://github.com/Monadical-SAS/reflector/commit/3b6540eae5b597449f98661bdf15483b77be3268))
-
 ## [0.27.0](https://github.com/Monadical-SAS/reflector/compare/v0.26.0...v0.27.0) (2025-12-26)


--- a/Caddyfile.example
+++ b/Caddyfile.example
@@ -1,8 +1,6 @@
-# Reflector Caddyfile (optional reverse proxy)
-# Use this only when you run Caddy via: docker compose -f docker-compose.prod.yml --profile caddy up -d
-# If Coolify, Traefik, or nginx already use ports 80/443, do NOT start Caddy; point your proxy at web:3000 and server:1250.
-#
-# Replace example.com with your actual domains. CORS is handled by the backend - Caddy just proxies.
+# Reflector Caddyfile
+# Replace example.com with your actual domains
+# CORS is handled by the backend - Caddy just proxies
 #
 # For environment variable substitution, set:
 #   FRONTEND_DOMAIN=app.example.com
--- a/docker-compose.prod.yml
+++ b/docker-compose.prod.yml
@@ -1,14 +1,9 @@
 # Production Docker Compose configuration
 # Usage: docker compose -f docker-compose.prod.yml up -d
 #
-# Caddy (reverse proxy on ports 80/443) is OPTIONAL and behind the "caddy" profile:
-# - With Caddy (self-hosted, you manage SSL): docker compose -f docker-compose.prod.yml --profile caddy up -d
-# - Without Caddy (Coolify/Traefik/nginx already on 80/443): docker compose -f docker-compose.prod.yml up -d
-#   Then point your proxy at web:3000 (frontend) and server:1250 (API).
-#
 # Prerequisites:
 # 1. Copy .env.example to .env and configure for both server/ and www/
-# 2. If using Caddy: copy Caddyfile.example to Caddyfile and edit your domains
+# 2. Copy Caddyfile.example to Caddyfile and edit with your domains
 # 3. Deploy Modal GPU functions (see gpu/modal_deployments/deploy-all.sh)

 services:
@@ -89,8 +84,6 @@ services:
      retries: 3

  caddy:
-    profiles:
-      - caddy
    image: caddy:2-alpine
    restart: unless-stopped
    ports:
--- a/docker-compose.standalone.yml
+++ b/docker-compose.standalone.yml
@@ -1,219 +0,0 @@
-# Self-contained standalone compose for fully local deployment (no external dependencies).
-# Usage: docker compose -f docker-compose.standalone.yml up -d
-#
-# On Linux with NVIDIA GPU, also pass: --profile ollama-gpu
-# On Linux without GPU:                --profile ollama-cpu
-# On Mac: Ollama runs natively (Metal GPU) — no profile needed, services here unused.
-
-services:
-  server:
-    build:
-      context: server
-    ports:
-      - "1250:1250"
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    volumes:
-      - ./server/:/app/
-      - /app/.venv
-    env_file:
-      - ./server/.env
-    environment:
-      ENTRYPOINT: server
-      # Docker DNS names instead of localhost
-      DATABASE_URL: postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
-      REDIS_HOST: redis
-      CELERY_BROKER_URL: redis://redis:6379/1
-      CELERY_RESULT_BACKEND: redis://redis:6379/1
-      # Standalone doesn't run Hatchet
-      HATCHET_CLIENT_SERVER_URL: ""
-      HATCHET_CLIENT_HOST_PORT: ""
-      # Self-hosted transcription/diarization via CPU service
-      TRANSCRIPT_BACKEND: modal
-      TRANSCRIPT_URL: http://cpu:8000
-      TRANSCRIPT_MODAL_API_KEY: local
-      DIARIZATION_BACKEND: modal
-      DIARIZATION_URL: http://cpu:8000
-    depends_on:
-      postgres:
-        condition: service_healthy
-      redis:
-        condition: service_started
-
-  worker:
-    build:
-      context: server
-    volumes:
-      - ./server/:/app/
-      - /app/.venv
-    env_file:
-      - ./server/.env
-    environment:
-      ENTRYPOINT: worker
-      HATCHET_CLIENT_SERVER_URL: ""
-      HATCHET_CLIENT_HOST_PORT: ""
-      TRANSCRIPT_BACKEND: modal
-      TRANSCRIPT_URL: http://cpu:8000
-      TRANSCRIPT_MODAL_API_KEY: local
-      DIARIZATION_BACKEND: modal
-      DIARIZATION_URL: http://cpu:8000
-    depends_on:
-      redis:
-        condition: service_started
-
-  beat:
-    build:
-      context: server
-    volumes:
-      - ./server/:/app/
-      - /app/.venv
-    env_file:
-      - ./server/.env
-    environment:
-      ENTRYPOINT: beat
-    depends_on:
-      redis:
-        condition: service_started
-
-  redis:
-    image: redis:7.2
-    ports:
-      - 6379:6379
-
-  postgres:
-    image: postgres:17
-    command: postgres -c 'max_connections=200'
-    ports:
-      - 5432:5432
-    environment:
-      POSTGRES_USER: reflector
-      POSTGRES_PASSWORD: reflector
-      POSTGRES_DB: reflector
-    volumes:
-      - ./data/postgres:/var/lib/postgresql/data
-    healthcheck:
-      test: ["CMD-SHELL", "pg_isready -d reflector -U reflector"]
-      interval: 5s
-      timeout: 5s
-      retries: 10
-      start_period: 15s
-
-  web:
-    image: reflector-frontend-standalone
-    build:
-      context: ./www
-    ports:
-      - "3000:3000"
-    command: ["node", "server.js"]
-    environment:
-      NODE_ENV: production
-      # Browser-facing URLs (host-accessible ports)
-      API_URL: http://localhost:1250
-      WEBSOCKET_URL: ws://localhost:1250
-      SITE_URL: http://localhost:3000
-      # Server-side URLs (docker-network internal)
-      SERVER_API_URL: http://server:1250
-      KV_URL: redis://redis:6379
-      KV_USE_TLS: "false"
-      # Standalone: no external auth provider
-      FEATURE_REQUIRE_LOGIN: "false"
-      NEXTAUTH_URL: http://localhost:3000
-      NEXTAUTH_SECRET: standalone-local-secret
-      # Nullify partial auth vars inherited from base env_file
-      AUTHENTIK_ISSUER: ""
-      AUTHENTIK_REFRESH_TOKEN_URL: ""
-
-  garage:
-    image: dxflrs/garage:v1.1.0
-    ports:
-      - "3900:3900"   # S3 API
-      - "3903:3903"   # Admin API
-    volumes:
-      - garage_data:/var/lib/garage/data
-      - garage_meta:/var/lib/garage/meta
-      - ./data/garage.toml:/etc/garage.toml:ro
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "/garage", "stats"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-      start_period: 5s
-
-  cpu:
-    build:
-      context: ./gpu/self_hosted
-      dockerfile: Dockerfile.cpu
-    ports:
-      - "8100:8000"
-    volumes:
-      - gpu_cache:/root/.cache
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8000/docs"]
-      interval: 15s
-      timeout: 5s
-      retries: 10
-      start_period: 120s
-
-  gpu-nvidia:
-    build:
-      context: ./gpu/self_hosted
-    profiles: ["gpu-nvidia"]
-    volumes:
-      - gpu_cache:/root/.cache
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: all
-              capabilities: [gpu]
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:8000/docs"]
-      interval: 15s
-      timeout: 5s
-      retries: 10
-      start_period: 120s
-
-  ollama:
-    image: ollama/ollama:latest
-    profiles: ["ollama-gpu"]
-    ports:
-      - "11434:11434"
-    volumes:
-      - ollama_data:/root/.ollama
-    deploy:
-      resources:
-        reservations:
-          devices:
-            - driver: nvidia
-              count: all
-              capabilities: [gpu]
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:11434/api/tags"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-
-  ollama-cpu:
-    image: ollama/ollama:latest
-    profiles: ["ollama-cpu"]
-    ports:
-      - "11434:11434"
-    volumes:
-      - ollama_data:/root/.ollama
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:11434/api/tags"]
-      interval: 10s
-      timeout: 5s
-      retries: 5
-
-volumes:
-  garage_data:
-  garage_meta:
-  ollama_data:
-  gpu_cache:
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -2,7 +2,8 @@ services:
  server:
    build:
      context: server
-    network_mode: host
+    ports:
+      - 1250:1250
    volumes:
      - ./server/:/app/
      - /app/.venv
@@ -10,12 +11,6 @@ services:
      - ./server/.env
    environment:
      ENTRYPOINT: server
-      DATABASE_URL: postgresql+asyncpg://reflector:reflector@localhost:5432/reflector
-      REDIS_HOST: localhost
-      CELERY_BROKER_URL: redis://localhost:6379/1
-      CELERY_RESULT_BACKEND: redis://localhost:6379/1
-      HATCHET_CLIENT_SERVER_URL: http://localhost:8889
-      HATCHET_CLIENT_HOST_PORT: localhost:7078

  worker:
    build:
@@ -27,11 +22,6 @@ services:
      - ./server/.env
    environment:
      ENTRYPOINT: worker
-      HATCHET_CLIENT_SERVER_URL: http://hatchet:8888
-      HATCHET_CLIENT_HOST_PORT: hatchet:7077
-    depends_on:
-      redis:
-        condition: service_started

  beat:
    build:
@@ -43,11 +33,8 @@ services:
      - ./server/.env
    environment:
      ENTRYPOINT: beat
-    depends_on:
-      redis:
-        condition: service_started

-  hatchet-worker-cpu:
+  hatchet-worker:
    build:
      context: server
    volumes:
@@ -56,24 +43,7 @@ services:
    env_file:
      - ./server/.env
    environment:
-      ENTRYPOINT: hatchet-worker-cpu
-      HATCHET_CLIENT_SERVER_URL: http://hatchet:8888
-      HATCHET_CLIENT_HOST_PORT: hatchet:7077
-    depends_on:
-      hatchet:
-        condition: service_healthy
-  hatchet-worker-llm:
-    build:
-      context: server
-    volumes:
-      - ./server/:/app/
-      - /app/.venv
-    env_file:
-      - ./server/.env
-    environment:
-      ENTRYPOINT: hatchet-worker-llm
-      HATCHET_CLIENT_SERVER_URL: http://hatchet:8888
-      HATCHET_CLIENT_HOST_PORT: hatchet:7077
+      ENTRYPOINT: hatchet-worker
    depends_on:
      hatchet:
        condition: service_healthy
@@ -92,16 +62,10 @@ services:
    volumes:
      - ./www:/app/
      - /app/node_modules
-      - next_cache:/app/.next
    env_file:
      - ./www/.env.local
    environment:
      - NODE_ENV=development
-      - SERVER_API_URL=http://host.docker.internal:1250
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    depends_on:
-      - server

  postgres:
    image: postgres:17
@@ -117,14 +81,13 @@ services:
      - ./server/docker/init-hatchet-db.sql:/docker-entrypoint-initdb.d/init-hatchet-db.sql:ro
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -d reflector -U reflector"]
-      interval: 5s
-      timeout: 5s
-      retries: 10
-      start_period: 15s
+      interval: 10s
+      timeout: 10s
+      retries: 5
+      start_period: 10s

  hatchet:
    image: ghcr.io/hatchet-dev/hatchet/hatchet-lite:latest
-    restart: on-failure
    ports:
      - "8889:8888"
      - "7078:7077"
@@ -132,7 +95,7 @@ services:
      postgres:
        condition: service_healthy
    environment:
-      DATABASE_URL: "postgresql://reflector:reflector@postgres:5432/hatchet?sslmode=disable&connect_timeout=30"
+      DATABASE_URL: "postgresql://reflector:reflector@postgres:5432/hatchet?sslmode=disable"
      SERVER_AUTH_COOKIE_DOMAIN: localhost
      SERVER_AUTH_COOKIE_INSECURE: "t"
      SERVER_GRPC_BIND_ADDRESS: "0.0.0.0"
@@ -152,5 +115,6 @@ services:
      retries: 5
      start_period: 30s

-volumes:
-  next_cache:
+networks:
+  default:
+    attachable: true
--- a/docs/docs/installation/docker-setup.md
+++ b/docs/docs/installation/docker-setup.md
@@ -11,15 +11,15 @@ This page documents the Docker Compose configuration for Reflector. For the comp

 The `docker-compose.prod.yml` includes these services:

-| Service    | Image                             | Purpose                                                                     |
-| ---------- | --------------------------------- | --------------------------------------------------------------------------- |
-| `web`      | `monadicalsas/reflector-frontend` | Next.js frontend                                                            |
-| `server`   | `monadicalsas/reflector-backend`  | FastAPI backend                                                             |
-| `worker`   | `monadicalsas/reflector-backend`  | Celery worker for background tasks                                          |
-| `beat`     | `monadicalsas/reflector-backend`  | Celery beat scheduler                                                       |
-| `redis`    | `redis:7.2-alpine`                | Message broker and cache                                                    |
-| `postgres` | `postgres:17-alpine`              | Primary database                                                            |
-| `caddy`    | `caddy:2-alpine`                  | Reverse proxy with auto-SSL (optional; see [Caddy profile](#caddy-profile)) |
+| Service | Image | Purpose |
+|---------|-------|---------|
+| `web` | `monadicalsas/reflector-frontend` | Next.js frontend |
+| `server` | `monadicalsas/reflector-backend` | FastAPI backend |
+| `worker` | `monadicalsas/reflector-backend` | Celery worker for background tasks |
+| `beat` | `monadicalsas/reflector-backend` | Celery beat scheduler |
+| `redis` | `redis:7.2-alpine` | Message broker and cache |
+| `postgres` | `postgres:17-alpine` | Primary database |
+| `caddy` | `caddy:2-alpine` | Reverse proxy with auto-SSL |

 ## Environment Files

@@ -30,7 +30,6 @@ Reflector uses two separate environment files:
 Used by: `server`, `worker`, `beat`

 Key variables:
-
 ```env
 # Database connection
 DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
@@ -55,7 +54,6 @@ TRANSCRIPT_MODAL_API_KEY=...
 Used by: `web`

 Key variables:
-
 ```env
 # Domain configuration
 SITE_URL=https://app.example.com
@@ -72,42 +70,26 @@ Note: `API_URL` is used client-side (browser), `SERVER_API_URL` is used server-s

 ## Volumes

-| Volume          | Purpose                       |
-| --------------- | ----------------------------- |
-| `redis_data`    | Redis persistence             |
-| `postgres_data` | PostgreSQL data               |
-| `server_data`   | Uploaded files, local storage |
-| `caddy_data`    | SSL certificates              |
-| `caddy_config`  | Caddy configuration           |
+| Volume | Purpose |
+|--------|---------|
+| `redis_data` | Redis persistence |
+| `postgres_data` | PostgreSQL data |
+| `server_data` | Uploaded files, local storage |
+| `caddy_data` | SSL certificates |
+| `caddy_config` | Caddy configuration |

 ## Network

 All services share the default network. The network is marked `attachable: true` to allow external containers (like Authentik) to join.

-## Caddy profile
-
-Caddy (ports 80 and 443) is **optional** and behind the `caddy` profile so it does not conflict with an existing reverse proxy (e.g. Coolify, Traefik, nginx).
-
- **With Caddy** (you want Reflector to handle SSL):
-  `docker compose -f docker-compose.prod.yml --profile caddy up -d`
- **Without Caddy** (Coolify or another proxy already on 80/443):
-  `docker compose -f docker-compose.prod.yml up -d`
-  Then configure your proxy to send traffic to `web:3000` (frontend) and `server:1250` (API).
-
 ## Common Commands

 ### Start all services
-
 ```bash
-# Without Caddy (e.g. when using Coolify)
 docker compose -f docker-compose.prod.yml up -d
-
-# With Caddy as reverse proxy
-docker compose -f docker-compose.prod.yml --profile caddy up -d
 ```

 ### View logs
-
 ```bash
 # All services
 docker compose -f docker-compose.prod.yml logs -f
@@ -117,7 +99,6 @@ docker compose -f docker-compose.prod.yml logs server --tail 50
 ```

 ### Restart a service
-
 ```bash
 # Quick restart (doesn't reload .env changes)
 docker compose -f docker-compose.prod.yml restart server
@@ -127,32 +108,27 @@ docker compose -f docker-compose.prod.yml up -d server
 ```

 ### Run database migrations
-
 ```bash
 docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
 ```

 ### Access database
-
 ```bash
 docker compose -f docker-compose.prod.yml exec postgres psql -U reflector
 ```

 ### Pull latest images
-
 ```bash
 docker compose -f docker-compose.prod.yml pull
 docker compose -f docker-compose.prod.yml up -d
 ```

 ### Stop all services
-
 ```bash
 docker compose -f docker-compose.prod.yml down
 ```

 ### Full reset (WARNING: deletes data)
-
 ```bash
 docker compose -f docker-compose.prod.yml down -v
 ```
@@ -211,7 +187,6 @@ The Caddyfile supports environment variable substitution:
 Set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables, or edit the file directly.

 ### Reload Caddy after changes
-
 ```bash
 docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile
 ```
--- a/docs/docs/installation/overview.md
+++ b/docs/docs/installation/overview.md
@@ -26,7 +26,7 @@ flowchart LR

 Before starting, you need:

- **Production server** - 4+ cores, 8GB+ RAM, public IP
+- **Production server** -  4+ cores, 8GB+ RAM, public IP
 - **Two domain names** - e.g., `app.example.com` (frontend) and `api.example.com` (backend)
 - **GPU processing** - Choose one:
  - Modal.com account, OR
@@ -60,17 +60,16 @@ Type: A    Name: api    Value: <your-server-ip>

 Reflector requires GPU processing for transcription and speaker diarization. Choose one option:

-|              | **Modal.com (Cloud)**             | **Self-Hosted GPU**          |
-| ------------ | --------------------------------- | ---------------------------- |
+| | **Modal.com (Cloud)** | **Self-Hosted GPU** |
+|---|---|---|
 | **Best for** | No GPU hardware, zero maintenance | Own GPU server, full control |
-| **Pricing**  | Pay-per-use                       | Fixed infrastructure cost    |
+| **Pricing** | Pay-per-use | Fixed infrastructure cost |

 ### Option A: Modal.com (Serverless Cloud GPU)

 #### Accept HuggingFace Licenses

 Visit both pages and click "Accept":
-
 - https://huggingface.co/pyannote/speaker-diarization-3.1
 - https://huggingface.co/pyannote/segmentation-3.0

@@ -180,7 +179,6 @@ Save these credentials - you'll need them in the next step.
 ## Configure Environment

 Reflector has two env files:
-
 - `server/.env` - Backend configuration
 - `www/.env` - Frontend configuration

@@ -192,7 +190,6 @@ nano server/.env
 ```

 **Required settings:**
-
 ```env
 # Database (defaults work with docker-compose.prod.yml)
 DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
@@ -252,7 +249,6 @@ nano www/.env
 ```

 **Required settings:**
-
 ```env
 # Your domains
 SITE_URL=https://app.example.com
@@ -270,11 +266,7 @@ FEATURE_REQUIRE_LOGIN=false

 ---

-## Reverse proxy (Caddy or existing)
-
-**If Coolify, Traefik, or nginx already use ports 80/443** (e.g. Coolify on your host): skip Caddy. Start the stack without the Caddy profile (see [Start Services](#start-services) below), then point your proxy at `web:3000` (frontend) and `server:1250` (API).
-
-**If you want Reflector to provide the reverse proxy and SSL:**
+## Configure Caddy

 ```bash
 cp Caddyfile.example Caddyfile
@@ -297,18 +289,10 @@ Replace `example.com` with your domains. The `{$VAR:default}` syntax uses Caddy'

 ## Start Services

-**Without Caddy** (e.g. Coolify already on 80/443):
-
 ```bash
 docker compose -f docker-compose.prod.yml up -d
 ```

-**With Caddy** (Reflector handles SSL):
-
-```bash
-docker compose -f docker-compose.prod.yml --profile caddy up -d
-```
-
 Wait for containers to start (first run may take 1-2 minutes to pull images and initialize).

 ---
@@ -316,21 +300,18 @@ Wait for containers to start (first run may take 1-2 minutes to pull images and
 ## Verify Deployment

 ### Check services
-
 ```bash
 docker compose -f docker-compose.prod.yml ps
 # All should show "Up"
 ```

 ### Test API
-
 ```bash
 curl https://api.example.com/health
 # Should return: {"status":"healthy"}
 ```

 ### Test Frontend
-
 - Visit https://app.example.com
 - You should see the Reflector interface
 - Try uploading an audio file to test transcription
@@ -346,7 +327,6 @@ By default, Reflector is open (no login required). **Authentication is required
 See [Authentication Setup](./auth-setup) for full Authentik OAuth configuration.

 Quick summary:
-
 1. Deploy Authentik on your server
 2. Create OAuth provider in Authentik
 3. Extract public key for JWT verification
@@ -378,7 +358,6 @@ DAILYCO_STORAGE_AWS_ROLE_ARN=<arn:aws:iam::ACCOUNT:role/DailyCo>
 ```

 Reload env and restart:
-
 ```bash
 docker compose -f docker-compose.prod.yml up -d server worker
 ```
@@ -388,43 +367,35 @@ docker compose -f docker-compose.prod.yml up -d server worker
 ## Troubleshooting

 ### Check logs for errors
-
 ```bash
 docker compose -f docker-compose.prod.yml logs server --tail 20
 docker compose -f docker-compose.prod.yml logs worker --tail 20
 ```

 ### Services won't start
-
 ```bash
 docker compose -f docker-compose.prod.yml logs
 ```

 ### CORS errors in browser
-
 - Verify `CORS_ORIGIN` in `server/.env` matches your frontend domain exactly (including `https://`)
 - Reload env: `docker compose -f docker-compose.prod.yml up -d server`

-### SSL certificate errors (when using Caddy)
-
+### SSL certificate errors
 - Caddy auto-provisions Let's Encrypt certificates
- Ensure ports 80 and 443 are open and not used by another proxy
+- Ensure ports 80 and 443 are open
 - Check: `docker compose -f docker-compose.prod.yml logs caddy`
- If port 80 is already in use (e.g. by Coolify), run without Caddy: `docker compose -f docker-compose.prod.yml up -d` and use your existing proxy

 ### Transcription not working
-
 - Check Modal dashboard: https://modal.com/apps
 - Verify URLs in `server/.env` match deployed functions
 - Check worker logs: `docker compose -f docker-compose.prod.yml logs worker`

 ### "Login required" but auth not configured
-
 - Set `FEATURE_REQUIRE_LOGIN=false` in `www/.env`
 - Rebuild frontend: `docker compose -f docker-compose.prod.yml up -d --force-recreate web`

 ### Database migrations or connectivity issues
-
 Migrations run automatically on server startup. To check database connectivity or debug migration failures:

 ```bash
@@ -437,3 +408,4 @@ docker compose -f docker-compose.prod.yml exec server uv run python -c "from ref
 # Manually run migrations (if needed)
 docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
 ```
+
--- a/docs/docs/installation/setup-standalone.md
+++ b/docs/docs/installation/setup-standalone.md
@@ -1,214 +0,0 @@
---
-sidebar_position: 2
-title: Standalone Local Setup
---
-
-# Standalone Local Setup
-
-**The goal**: a clueless user clones the repo, runs one script, and has a working Reflector instance locally. No cloud accounts, no API keys, no manual env file editing.
-
-```bash
-git clone https://github.com/monadical-sas/reflector.git
-cd reflector
-./scripts/setup-standalone.sh
-```
-
-The script is idempotent — safe to re-run at any time. It detects what's already set up and skips completed steps.
-
-## Prerequisites
-
- Docker / OrbStack / Docker Desktop (any)
- Mac (Apple Silicon) or Linux
- 16GB+ RAM (32GB recommended for 14B LLM models)
- **Mac only**: [Ollama](https://ollama.com/download) installed (`brew install ollama`)
-
-## What the script does
-
-### 1. LLM inference via Ollama
-
-**Mac**: starts Ollama natively (Metal GPU acceleration). Pulls the LLM model. Docker containers reach it via `host.docker.internal:11434`.
-
-**Linux**: starts containerized Ollama via `docker-compose.standalone.yml` profile (`ollama-gpu` with NVIDIA, `ollama-cpu` without). Pulls model inside the container.
-
-### 2. Environment files
-
-Generates `server/.env` and `www/.env.local` with standalone defaults:
-
-**`server/.env`** — key settings:
-
-| Variable | Value | Why |
-|----------|-------|-----|
-| `DATABASE_URL` | `postgresql+asyncpg://...@postgres:5432/reflector` | Docker-internal hostname |
-| `REDIS_HOST` | `redis` | Docker-internal hostname |
-| `CELERY_BROKER_URL` | `redis://redis:6379/1` | Docker-internal hostname |
-| `AUTH_BACKEND` | `none` | No Authentik in standalone |
-| `TRANSCRIPT_BACKEND` | `modal` | HTTP API to self-hosted CPU service |
-| `TRANSCRIPT_URL` | `http://cpu:8000` | Docker-internal CPU service |
-| `DIARIZATION_BACKEND` | `modal` | HTTP API to self-hosted CPU service |
-| `DIARIZATION_URL` | `http://cpu:8000` | Docker-internal CPU service |
-| `TRANSLATION_BACKEND` | `passthrough` | No Modal |
-| `LLM_URL` | `http://host.docker.internal:11434/v1` (Mac) | Ollama endpoint |
-
-**`www/.env.local`** — key settings:
-
-| Variable | Value |
-|----------|-------|
-| `API_URL` | `http://localhost:1250` |
-| `SERVER_API_URL` | `http://server:1250` |
-| `WEBSOCKET_URL` | `ws://localhost:1250` |
-| `FEATURE_REQUIRE_LOGIN` | `false` |
-| `NEXTAUTH_SECRET` | `standalone-dev-secret-not-for-production` |
-
-If env files already exist (including symlinks from worktree setup), the script resolves symlinks and ensures all standalone-critical vars are set. Existing vars not related to standalone are preserved.
-
-### 3. Object storage (Garage)
-
-Standalone uses [Garage](https://garagehq.deuxfleurs.fr/) — a lightweight S3-compatible object store running in Docker. The setup script starts Garage, initializes the layout, creates a bucket and access key, and writes the credentials to `server/.env`.
-
-**`server/.env`** — storage settings added by the script:
-
-| Variable | Value | Why |
-|----------|-------|-----|
-| `TRANSCRIPT_STORAGE_BACKEND` | `aws` | Uses the S3-compatible storage driver |
-| `TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL` | `http://garage:3900` | Docker-internal Garage S3 API |
-| `TRANSCRIPT_STORAGE_AWS_BUCKET_NAME` | `reflector-media` | Created by the script |
-| `TRANSCRIPT_STORAGE_AWS_REGION` | `garage` | Must match Garage config |
-| `TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID` | *(auto-generated)* | Created by `garage key create` |
-| `TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY` | *(auto-generated)* | Created by `garage key create` |
-
-The `TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL` setting enables S3-compatible backends. When set, the storage driver uses path-style addressing and routes all requests to the custom endpoint. When unset (production AWS), behavior is unchanged.
-
-Garage config template lives at `scripts/garage.toml`. The setup script generates `data/garage.toml` (gitignored) with a random RPC secret and mounts it read-only into the container. Single-node, `replication_factor=1`.
-
-> **Note**: Presigned URLs embed the Garage Docker hostname (`http://garage:3900`). This is fine — the server proxies S3 responses to the browser. Modal GPU workers cannot reach internal Garage, but standalone doesn't use Modal.
-
-### 4. Transcription and diarization
-
-Standalone runs the self-hosted ML service (`gpu/self_hosted/`) in a CPU-only Docker container named `cpu`. This is the same FastAPI service used for Modal.com GPU deployments, but built with `Dockerfile.cpu` (no NVIDIA CUDA dependencies). The compose service is named `cpu` (not `gpu`) to make clear it runs without GPU acceleration; the source code lives in `gpu/self_hosted/` because it's shared with the GPU deployment.
-
-The `modal` backend name is reused — it just means "HTTP API client". Setting `TRANSCRIPT_URL` / `DIARIZATION_URL` to `http://cpu:8000` routes requests to the local container instead of Modal.com.
-
-On first start, the service downloads pyannote speaker diarization models (~1GB) from a public S3 bundle. Models are cached in a Docker volume (`gpu_cache`) so subsequent starts are fast. No HuggingFace token or API key needed.
-
-> **Performance**: CPU-only transcription and diarization work but are slow (~15 min for a 3 min file). For faster processing on Linux with NVIDIA GPU, use `--profile gpu-nvidia` instead (see `docker-compose.standalone.yml`).
-
-### 5. Docker services
-
-```bash
-docker compose up -d postgres redis garage cpu server worker beat web
-```
-
-All services start in a single command. Garage and `cpu` are already started by earlier steps but included for idempotency. No Hatchet in standalone mode — LLM processing (summaries, topics, titles) runs via Celery tasks.
-
-### 6. Database migrations
-
-Run automatically by the `server` container on startup (`runserver.sh` calls `alembic upgrade head`). No manual step needed.
-
-### 7. Health check
-
-Verifies:
- CPU service responds (transcription + diarization ready)
- Server responds at `http://localhost:1250/health`
- Frontend serves at `http://localhost:3000`
- LLM endpoint reachable from inside containers
-
-## Services
-
-| Service | Port | Purpose |
-|---------|------|---------|
-| `server` | 1250 | FastAPI backend (runs migrations on start) |
-| `web` | 3000 | Next.js frontend |
-| `postgres` | 5432 | PostgreSQL database |
-| `redis` | 6379 | Cache + Celery broker |
-| `garage` | 3900, 3903 | S3-compatible object storage (S3 API + admin API) |
-| `cpu` | — | Self-hosted transcription + diarization (CPU-only) |
-| `worker` | — | Celery worker (live pipeline post-processing) |
-| `beat` | — | Celery beat (scheduled tasks) |
-
-## Testing programmatically
-
-After the setup script completes, verify the full pipeline (upload, transcription, diarization, LLM summary) via the API:
-
-```bash
-# 1. Create a transcript
-TRANSCRIPT_ID=$(curl -s -X POST 'http://localhost:1250/v1/transcripts' \
-  -H 'Content-Type: application/json' \
-  -d '{"name":"test-upload"}' | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
-echo "Created: $TRANSCRIPT_ID"
-
-# 2. Upload an audio file (single-chunk upload)
-curl -s "http://localhost:1250/v1/transcripts/${TRANSCRIPT_ID}/record/upload?chunk_number=0&total_chunks=1" \
-  -X POST -F "chunk=@/path/to/audio.mp3"
-
-# 3. Poll until processing completes (status: ended or error)
-while true; do
-  STATUS=$(curl -s "http://localhost:1250/v1/transcripts/${TRANSCRIPT_ID}" \
-    | python3 -c "import sys,json; print(json.load(sys.stdin)['status'])")
-  echo "Status: $STATUS"
-  case "$STATUS" in ended|error) break;; esac
-  sleep 10
-done
-
-# 4. Check the result
-curl -s "http://localhost:1250/v1/transcripts/${TRANSCRIPT_ID}" | python3 -m json.tool
-```
-
-Expected result: status `ended`, auto-generated `title`, `short_summary`, `long_summary`, and `transcript` text with `Speaker 0` / `Speaker 1` labels.
-
-CPU-only processing is slow (~15 min for a 3 min audio file). Diarization finishes in ~3 min, transcription takes the rest.
-
-## Troubleshooting
-
-### Port conflicts (most common issue)
-
-If the frontend or backend behaves unexpectedly (e.g., env vars seem ignored, changes don't take effect), **check for port conflicts first**:
-
-```bash
-# Check what's listening on key ports
-lsof -i :3000   # frontend
-lsof -i :1250   # backend
-lsof -i :5432   # postgres
-lsof -i :3900   # Garage S3 API
-lsof -i :6379   # Redis
-
-# Kill stale processes on a port
-lsof -ti :3000 | xargs kill
-```
-
-Common causes:
- A stale `next dev` or `pnpm dev` process from another terminal/worktree
- Another Docker Compose project (different worktree) with containers on the same ports — the setup script only manages its own project; containers from other projects must be stopped manually (`docker ps` to find them, `docker stop` to kill them)
-
-The setup script checks ports 3000, 1250, 5432, 6379, 3900, 3903 for conflicts before starting services. It ignores OrbStack/Docker Desktop port forwarding processes (which always bind these ports but are not real conflicts).
-
-### OrbStack false port-conflict warnings (Mac)
-
-If you use OrbStack as your Docker runtime, `lsof` will show OrbStack binding ports like 3000, 1250, etc. even when no containers are running. This is OrbStack's port forwarding mechanism — not a real conflict. The setup script filters these out automatically.
-
-### Re-enabling authentication
-
-Standalone runs without authentication (`FEATURE_REQUIRE_LOGIN=false`, `AUTH_BACKEND=none`). To re-enable:
-
-1. In `www/.env.local`: set `FEATURE_REQUIRE_LOGIN=true`, uncomment `AUTHENTIK_ISSUER` and `AUTHENTIK_REFRESH_TOKEN_URL`
-2. In `server/.env`: set `AUTH_BACKEND=authentik` (or your backend), configure `AUTH_JWT_AUDIENCE`
-3. Restart: `docker compose -f docker-compose.standalone.yml up -d --force-recreate web server`
-
-## What's NOT covered
-
-These require external accounts and infrastructure that can't be scripted:
-
- **Live meeting rooms** — requires Daily.co account, S3 bucket, IAM roles
- **Authentication** — requires Authentik deployment and OAuth configuration
- **Hatchet workflows** — requires separate Hatchet setup for multitrack processing
- **Production deployment** — see [Deployment Guide](./overview)
-
-## Current status
-
-All steps implemented. The setup script handles everything end-to-end:
-
- Step 1 (Ollama/LLM) — implemented
- Step 2 (environment files) — implemented
- Step 3 (object storage / Garage) — implemented
- Step 4 (transcription/diarization) — implemented (self-hosted GPU service)
- Steps 5-7 (Docker, migrations, health) — implemented
- **Unified script**: `scripts/setup-standalone.sh`
--- a/gpu/modal_deployments/deploy-all.sh
+++ b/gpu/modal_deployments/deploy-all.sh
@@ -131,15 +131,6 @@ if [ -z "$DIARIZER_URL" ]; then
 fi
 echo "  -> $DIARIZER_URL"

-echo ""
-echo "Deploying padding (CPU audio processing via Modal SDK)..."
-modal deploy reflector_padding.py
-if [ $? -ne 0 ]; then
-    echo "Error: Failed to deploy padding. Check Modal dashboard for details."
-    exit 1
-fi
-echo "  -> reflector-padding.pad_track (Modal SDK function)"
-
 # --- Output Configuration ---
 echo ""
 echo "=========================================="
@@ -156,6 +147,4 @@ echo ""
 echo "DIARIZATION_BACKEND=modal"
 echo "DIARIZATION_URL=$DIARIZER_URL"
 echo "DIARIZATION_MODAL_API_KEY=$API_KEY"
-echo ""
-echo "# Padding uses Modal SDK (requires MODAL_TOKEN_ID/SECRET in worker containers)"
 echo "# --- End Modal Configuration ---"
--- a/gpu/modal_deployments/reflector_padding.py
+++ b/gpu/modal_deployments/reflector_padding.py
@@ -1,277 +0,0 @@
-"""
-Reflector GPU backend - audio padding
-======================================
-
-CPU-intensive audio padding service for adding silence to audio tracks.
-Uses PyAV filter graph (adelay) for precise track synchronization.
-
-IMPORTANT: This padding logic is duplicated from server/reflector/utils/audio_padding.py
-for Modal deployment isolation (Modal can't import from server/reflector/). If you modify
-the PyAV filter graph or padding algorithm, you MUST update both:
-  - gpu/modal_deployments/reflector_padding.py (this file)
-  - server/reflector/utils/audio_padding.py
-
-Constants duplicated from server/reflector/utils/audio_constants.py for same reason.
-"""
-
-import os
-import tempfile
-from fractions import Fraction
-import math
-import asyncio
-
-import modal
-
-S3_TIMEOUT = 60 # happens 2 times
-PADDING_TIMEOUT = 600 + (S3_TIMEOUT * 2)
-SCALEDOWN_WINDOW = 60  # The maximum duration (in seconds) that individual containers can remain idle when scaling down.
-DISCONNECT_CHECK_INTERVAL = 2  # Check for client disconnect
-
-
-app = modal.App("reflector-padding")
-
-# CPU-based image
-image = (
-    modal.Image.debian_slim(python_version="3.12")
-    .apt_install("ffmpeg")  # Required by PyAV
-    .pip_install(
-        "av==13.1.0",  # PyAV for audio processing
-        "requests==2.32.3",  # HTTP for presigned URL downloads/uploads
-        "fastapi==0.115.12",  # API framework
-    )
-)
-
-# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
-OPUS_STANDARD_SAMPLE_RATE = 48000
-# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
-OPUS_DEFAULT_BIT_RATE = 128000
-
-
-@app.function(
-    cpu=2.0,
-    timeout=PADDING_TIMEOUT,
-    scaledown_window=SCALEDOWN_WINDOW,
-    image=image,
-)
-@modal.asgi_app()
-def web():
-    from fastapi import FastAPI, Request, HTTPException
-    from pydantic import BaseModel
-
-    class PaddingRequest(BaseModel):
-        track_url: str
-        output_url: str
-        start_time_seconds: float
-        track_index: int
-
-    class PaddingResponse(BaseModel):
-        size: int
-        cancelled: bool = False
-
-    web_app = FastAPI()
-
-    @web_app.post("/pad")
-    async def pad_track_endpoint(request: Request, req: PaddingRequest) -> PaddingResponse:
-        """Modal web endpoint for padding audio tracks with disconnect detection.
-        """
-        import logging
-
-        logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
-        logger = logging.getLogger(__name__)
-
-        if not req.track_url:
-            raise HTTPException(status_code=400, detail="track_url cannot be empty")
-        if not req.output_url:
-            raise HTTPException(status_code=400, detail="output_url cannot be empty")
-        if req.start_time_seconds <= 0:
-            raise HTTPException(status_code=400, detail=f"start_time_seconds must be positive, got {req.start_time_seconds}")
-        if req.start_time_seconds > 18000:
-            raise HTTPException(status_code=400, detail=f"start_time_seconds exceeds maximum 18000s (5 hours)")
-
-        logger.info(f"Padding request: track {req.track_index}, delay={req.start_time_seconds}s")
-
-        # Thread-safe cancellation flag shared between async disconnect checker and blocking thread
-        import threading
-        cancelled = threading.Event()
-
-        async def check_disconnect():
-            """Background task to check for client disconnect every 2 seconds."""
-            while not cancelled.is_set():
-                await asyncio.sleep(DISCONNECT_CHECK_INTERVAL)
-                if await request.is_disconnected():
-                    logger.warning("Client disconnected, setting cancellation flag")
-                    cancelled.set()
-                    break
-
-        # Start disconnect checker in background
-        disconnect_task = asyncio.create_task(check_disconnect())
-
-        try:
-            result = await asyncio.get_event_loop().run_in_executor(
-                None, _pad_track_blocking, req, cancelled, logger
-            )
-            return PaddingResponse(**result)
-        finally:
-            cancelled.set()
-            disconnect_task.cancel()
-            try:
-                await disconnect_task
-            except asyncio.CancelledError:
-                pass
-
-    def _pad_track_blocking(req, cancelled, logger) -> dict:
-        """Blocking CPU-bound padding work with periodic cancellation checks.
-
-        Args:
-            cancelled: threading.Event for thread-safe cancellation signaling
-        """
-        import av
-        import requests
-        from av.audio.resampler import AudioResampler
-        import time
-
-        temp_dir = tempfile.mkdtemp()
-        input_path = None
-        output_path = None
-        last_check = time.time()
-
-        try:
-            logger.info("Downloading track for padding")
-            response = requests.get(req.track_url, stream=True, timeout=S3_TIMEOUT)
-            response.raise_for_status()
-
-            input_path = os.path.join(temp_dir, "track.webm")
-            total_bytes = 0
-            chunk_count = 0
-            with open(input_path, "wb") as f:
-                for chunk in response.iter_content(chunk_size=8192):
-                    if chunk:
-                        f.write(chunk)
-                        total_bytes += len(chunk)
-                        chunk_count += 1
-
-                        # Check for cancellation every arbitrary amount of chunks
-                        if chunk_count % 12 == 0:
-                            now = time.time()
-                            if now - last_check >= DISCONNECT_CHECK_INTERVAL:
-                                if cancelled.is_set():
-                                    logger.info("Cancelled during download, exiting early")
-                                    return {"size": 0, "cancelled": True}
-                                last_check = now
-            logger.info(f"Track downloaded: {total_bytes} bytes")
-
-            if cancelled.is_set():
-                logger.info("Cancelled after download, exiting early")
-                return {"size": 0, "cancelled": True}
-
-            # Apply padding using PyAV
-            output_path = os.path.join(temp_dir, "padded.webm")
-            delay_ms = math.floor(req.start_time_seconds * 1000)
-            logger.info(f"Padding track {req.track_index} with {delay_ms}ms delay using PyAV")
-
-            in_container = av.open(input_path)
-            in_stream = next((s for s in in_container.streams if s.type == "audio"), None)
-            if in_stream is None:
-                raise ValueError("No audio stream in input")
-
-            with av.open(output_path, "w", format="webm") as out_container:
-                out_stream = out_container.add_stream("libopus", rate=OPUS_STANDARD_SAMPLE_RATE)
-                out_stream.bit_rate = OPUS_DEFAULT_BIT_RATE
-                graph = av.filter.Graph()
-
-                abuf_args = (
-                    f"time_base=1/{OPUS_STANDARD_SAMPLE_RATE}:"
-                    f"sample_rate={OPUS_STANDARD_SAMPLE_RATE}:"
-                    f"sample_fmt=s16:"
-                    f"channel_layout=stereo"
-                )
-                src = graph.add("abuffer", args=abuf_args, name="src")
-                aresample_f = graph.add("aresample", args="async=1", name="ares")
-                delays_arg = f"{delay_ms}|{delay_ms}"
-                adelay_f = graph.add("adelay", args=f"delays={delays_arg}:all=1", name="delay")
-                sink = graph.add("abuffersink", name="sink")
-
-                src.link_to(aresample_f)
-                aresample_f.link_to(adelay_f)
-                adelay_f.link_to(sink)
-                graph.configure()
-
-                resampler = AudioResampler(
-                    format="s16", layout="stereo", rate=OPUS_STANDARD_SAMPLE_RATE
-                )
-
-                for frame in in_container.decode(in_stream):
-                    # Check for cancellation periodically
-                    now = time.time()
-                    if now - last_check >= DISCONNECT_CHECK_INTERVAL:
-                        if cancelled.is_set():
-                            logger.info("Cancelled during processing, exiting early")
-                            in_container.close()
-                            return {"size": 0, "cancelled": True}
-                        last_check = now
-
-                    out_frames = resampler.resample(frame) or []
-                    for rframe in out_frames:
-                        rframe.sample_rate = OPUS_STANDARD_SAMPLE_RATE
-                        rframe.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
-                        src.push(rframe)
-
-                        while True:
-                            try:
-                                f_out = sink.pull()
-                            except Exception:
-                                break
-                            f_out.sample_rate = OPUS_STANDARD_SAMPLE_RATE
-                            f_out.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
-                            for packet in out_stream.encode(f_out):
-                                out_container.mux(packet)
-
-                # Flush filter graph
-                src.push(None)
-                while True:
-                    try:
-                        f_out = sink.pull()
-                    except Exception:
-                        break
-                    f_out.sample_rate = OPUS_STANDARD_SAMPLE_RATE
-                    f_out.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
-                    for packet in out_stream.encode(f_out):
-                        out_container.mux(packet)
-
-                # Flush encoder
-                for packet in out_stream.encode(None):
-                    out_container.mux(packet)
-
-            in_container.close()
-
-            file_size = os.path.getsize(output_path)
-            logger.info(f"Padding complete: {file_size} bytes")
-
-            logger.info("Uploading padded track to S3")
-
-            with open(output_path, "rb") as f:
-                upload_response = requests.put(req.output_url, data=f, timeout=S3_TIMEOUT)
-
-            upload_response.raise_for_status()
-            logger.info(f"Upload complete: {file_size} bytes")
-
-            return {"size": file_size}
-
-        finally:
-            if input_path and os.path.exists(input_path):
-                try:
-                    os.unlink(input_path)
-                except Exception as e:
-                    logger.warning(f"Failed to cleanup input file: {e}")
-            if output_path and os.path.exists(output_path):
-                try:
-                    os.unlink(output_path)
-                except Exception as e:
-                    logger.warning(f"Failed to cleanup output file: {e}")
-            try:
-                os.rmdir(temp_dir)
-            except Exception as e:
-                logger.warning(f"Failed to cleanup temp directory: {e}")
-
-    return web_app
-
--- a/gpu/self_hosted/Dockerfile
+++ b/gpu/self_hosted/Dockerfile
@@ -4,31 +4,27 @@ ENV PYTHONUNBUFFERED=1 \
    UV_LINK_MODE=copy \
    UV_NO_CACHE=1

-# patch until nvidia updates the sha1 repo
-ADD sequoia.config /etc/crypto-policies/back-ends/sequoia.config
-
 WORKDIR /tmp
-RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
- --mount=type=cache,target=/var/lib/apt,sharing=locked \
- apt-get update \
+RUN apt-get update \
 && apt-get install -y \
    ffmpeg \
    curl \
    ca-certificates \
    gnupg \
-    wget
+    wget \
+ && apt-get clean
 # Add NVIDIA CUDA repo for Debian 12 (bookworm) and install cuDNN 9 for CUDA 12
 ADD https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb /cuda-keyring.deb
-RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
- --mount=type=cache,target=/var/lib/apt,sharing=locked \
- dpkg -i /cuda-keyring.deb \
+RUN dpkg -i /cuda-keyring.deb \
 && rm /cuda-keyring.deb \
 && apt-get update \
 && apt-get install -y --no-install-recommends \
    cuda-cudart-12-6 \
    libcublas-12-6 \
    libcudnn9-cuda-12 \
-    libcudnn9-dev-cuda-12
+    libcudnn9-dev-cuda-12 \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
 ADD https://astral.sh/uv/install.sh /uv-installer.sh
 RUN sh /uv-installer.sh && rm /uv-installer.sh
 ENV PATH="/root/.local/bin/:$PATH"
@@ -43,13 +39,6 @@ COPY ./app /app/app
 COPY ./main.py /app/
 COPY ./runserver.sh /app/

-# prevent uv failing with too many open files on big cpus
-ENV UV_CONCURRENT_INSTALLS=16
-
-# first install
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --compile-bytecode --locked
-
 EXPOSE 8000

 CMD ["sh", "/app/runserver.sh"]
--- a/gpu/self_hosted/Dockerfile.cpu
+++ b/gpu/self_hosted/Dockerfile.cpu
@@ -1,39 +0,0 @@
-FROM python:3.12-slim
-
-ENV PYTHONUNBUFFERED=1 \
-    UV_LINK_MODE=copy \
-    UV_NO_CACHE=1
-
-WORKDIR /tmp
-RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
- --mount=type=cache,target=/var/lib/apt,sharing=locked \
- apt-get update \
- && apt-get install -y \
-    ffmpeg \
-    curl \
-    ca-certificates \
-    gnupg \
-    wget
-ADD https://astral.sh/uv/install.sh /uv-installer.sh
-RUN sh /uv-installer.sh && rm /uv-installer.sh
-ENV PATH="/root/.local/bin/:$PATH"
-
-RUN mkdir -p /app
-WORKDIR /app
-COPY pyproject.toml uv.lock /app/
-
-
-COPY ./app /app/app
-COPY ./main.py /app/
-COPY ./runserver.sh /app/
-
-# prevent uv failing with too many open files on big cpus
-ENV UV_CONCURRENT_INSTALLS=16
-
-# first install
-RUN --mount=type=cache,target=/root/.cache/uv \
-    uv sync --compile-bytecode --locked
-
-EXPOSE 8000
-
-CMD ["sh", "/app/runserver.sh"]
--- a/gpu/self_hosted/app/auth.py
+++ b/gpu/self_hosted/app/auth.py
@@ -3,14 +3,14 @@ import os
 from fastapi import Depends, HTTPException, status
 from fastapi.security import OAuth2PasswordBearer

-oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token", auto_error=False)
+oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


-def apikey_auth(apikey: str | None = Depends(oauth2_scheme)):
+def apikey_auth(apikey: str = Depends(oauth2_scheme)):
    required_key = os.environ.get("REFLECTOR_GPU_APIKEY")
    if not required_key:
        return
-    if apikey and apikey == required_key:
+    if apikey == required_key:
        return
    raise HTTPException(
        status_code=status.HTTP_401_UNAUTHORIZED,
--- a/gpu/self_hosted/app/services/diarizer.py
+++ b/gpu/self_hosted/app/services/diarizer.py
@@ -1,65 +1,10 @@
-import logging
 import os
-import tarfile
 import threading
-from pathlib import Path
-from urllib.request import urlopen

 import torch
 import torchaudio
-import yaml
 from pyannote.audio import Pipeline

-logger = logging.getLogger(__name__)
-
-S3_BUNDLE_URL = "https://reflector-public.s3.us-east-1.amazonaws.com/pyannote-speaker-diarization-3.1.tar.gz"
-BUNDLE_CACHE_DIR = Path("/root/.cache/pyannote-bundle")
-
-
-def _ensure_model(cache_dir: Path) -> str:
-    """Download and extract S3 model bundle if not cached."""
-    model_dir = cache_dir / "pyannote-speaker-diarization-3.1"
-    config_path = model_dir / "config.yaml"
-
-    if config_path.exists():
-        logger.info("Using cached model bundle at %s", model_dir)
-        return str(model_dir)
-
-    cache_dir.mkdir(parents=True, exist_ok=True)
-    tarball_path = cache_dir / "model.tar.gz"
-
-    logger.info("Downloading model bundle from %s", S3_BUNDLE_URL)
-    with urlopen(S3_BUNDLE_URL) as response, open(tarball_path, "wb") as f:
-        while chunk := response.read(8192):
-            f.write(chunk)
-
-    logger.info("Extracting model bundle")
-    with tarfile.open(tarball_path, "r:gz") as tar:
-        tar.extractall(path=cache_dir, filter="data")
-    tarball_path.unlink()
-
-    _patch_config(model_dir, cache_dir)
-    return str(model_dir)
-
-
-def _patch_config(model_dir: Path, cache_dir: Path) -> None:
-    """Rewrite config.yaml to reference local pytorch_model.bin paths."""
-    config_path = model_dir / "config.yaml"
-    with open(config_path) as f:
-        config = yaml.safe_load(f)
-
-    config["pipeline"]["params"]["segmentation"] = str(
-        cache_dir / "pyannote-segmentation-3.0" / "pytorch_model.bin"
-    )
-    config["pipeline"]["params"]["embedding"] = str(
-        cache_dir / "pyannote-wespeaker-voxceleb-resnet34-LM" / "pytorch_model.bin"
-    )
-
-    with open(config_path, "w") as f:
-        yaml.dump(config, f)
-
-    logger.info("Patched config.yaml with local model paths")
-

 class PyannoteDiarizationService:
    def __init__(self):
@@ -69,20 +14,10 @@ class PyannoteDiarizationService:

    def load(self):
        self._device = "cuda" if torch.cuda.is_available() else "cpu"
-        hf_token = os.environ.get("HF_TOKEN")
-
-        if hf_token:
-            logger.info("Loading pyannote model from HuggingFace (HF_TOKEN set)")
-            self._pipeline = Pipeline.from_pretrained(
-                "pyannote/speaker-diarization-3.1",
-                use_auth_token=hf_token,
-            )
-        else:
-            logger.info("HF_TOKEN not set — loading model from S3 bundle")
-            model_path = _ensure_model(BUNDLE_CACHE_DIR)
-            config_path = Path(model_path) / "config.yaml"
-            self._pipeline = Pipeline.from_pretrained(str(config_path))
-
+        self._pipeline = Pipeline.from_pretrained(
+            "pyannote/speaker-diarization-3.1",
+            use_auth_token=os.environ.get("HF_TOKEN"),
+        )
        self._pipeline.to(torch.device(self._device))

    def diarize_file(self, file_path: str, timestamp: float = 0.0) -> dict:
--- a/gpu/self_hosted/sequoia.config
+++ b/gpu/self_hosted/sequoia.config
@@ -1,2 +0,0 @@
-[hash_algorithms]
-sha1 = "always"
--- a/scripts/garage.toml
+++ b/scripts/garage.toml
@@ -1,14 +0,0 @@
-metadata_dir = "/var/lib/garage/meta"
-data_dir = "/var/lib/garage/data"
-replication_factor = 1
-
-rpc_secret = "__GARAGE_RPC_SECRET__"
-rpc_bind_addr = "[::]:3901"
-
-[s3_api]
-api_bind_addr = "[::]:3900"
-s3_region = "garage"
-root_domain = ".s3.garage.localhost"
-
-[admin]
-api_bind_addr = "[::]:3903"
--- a/scripts/setup-standalone.sh
+++ b/scripts/setup-standalone.sh
@@ -1,544 +0,0 @@
-#!/usr/bin/env bash
-#
-# Standalone local development setup for Reflector.
-# Takes a fresh clone to a working instance — no cloud accounts, no API keys.
-#
-# Usage:
-#   ./scripts/setup-standalone.sh
-#
-# Idempotent — safe to re-run at any time.
-#
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ROOT_DIR="$(cd "$SCRIPT_DIR/.." && pwd)"
-
-SERVER_ENV="$ROOT_DIR/server/.env"
-WWW_ENV="$ROOT_DIR/www/.env.local"
-
-MODEL="${LLM_MODEL:-qwen2.5:14b}"
-OLLAMA_PORT="${OLLAMA_PORT:-11434}"
-
-OS="$(uname -s)"
-
-# --- Colors ---
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-CYAN='\033[0;36m'
-NC='\033[0m'
-
-info()  { echo -e "${CYAN}==>${NC} $*"; }
-ok()    { echo -e "${GREEN}  ✓${NC} $*"; }
-warn()  { echo -e "${YELLOW}  !${NC} $*"; }
-err()   { echo -e "${RED}  ✗${NC} $*" >&2; }
-
-# --- Helpers ---
-
-dump_diagnostics() {
-    local failed_svc="${1:-}"
-    echo ""
-    err "========== DIAGNOSTICS =========="
-
-    err "Container status:"
-    compose_cmd ps -a --format "table {{.Name}}\t{{.Status}}" 2>/dev/null || true
-    echo ""
-
-    # Show logs for any container that exited
-    local stopped
-    stopped=$(compose_cmd ps -a --format '{{.Name}}\t{{.Status}}' 2>/dev/null \
-        | grep -iv 'up\|running' | awk -F'\t' '{print $1}' || true)
-    for c in $stopped; do
-        err "--- Logs for $c (exited/unhealthy) ---"
-        docker logs --tail 30 "$c" 2>&1 || true
-        echo ""
-    done
-
-    # If a specific service failed, always show its logs
-    if [[ -n "$failed_svc" ]]; then
-        err "--- Logs for $failed_svc (last 40) ---"
-        compose_cmd logs "$failed_svc" --tail 40 2>&1 || true
-        echo ""
-        # Try health check from inside the container as extra signal
-        err "--- Internal health check ($failed_svc) ---"
-        compose_cmd exec -T "$failed_svc" \
-            curl -sf http://localhost:1250/health 2>&1 || echo "(not reachable internally either)"
-    fi
-
-    err "================================="
-}
-
-trap 'dump_diagnostics' ERR
-
-# Get the image ID for a compose service (works even when containers are not running).
-svc_image_id() {
-    local svc="$1"
-    # Extract image name from compose config YAML, fall back to <project>-<service>
-    local img_name
-    img_name=$(compose_cmd config 2>/dev/null \
-        | sed -n "/^  ${svc}:/,/^  [a-z]/p" | grep '^\s*image:' | awk '{print $2}')
-    img_name="${img_name:-reflector-$svc}"
-    docker images -q "$img_name" 2>/dev/null | head -1
-}
-
-# Ensure images with build contexts are up-to-date.
-# Docker layer cache makes this fast (~seconds) when source hasn't changed.
-rebuild_images() {
-    local svc
-    for svc in web cpu; do
-        local old_id
-        old_id=$(svc_image_id "$svc")
-        old_id="${old_id:-<none>}"
-
-        info "Building $svc..."
-        compose_cmd build "$svc"
-
-        local new_id
-        new_id=$(svc_image_id "$svc")
-
-        if [[ "$old_id" == "$new_id" ]]; then
-            ok "$svc unchanged (${new_id:0:12})"
-        else
-            ok "$svc rebuilt (${old_id:0:12} -> ${new_id:0:12})"
-        fi
-    done
-}
-
-wait_for_url() {
-    local url="$1" label="$2" retries="${3:-30}" interval="${4:-2}"
-    for i in $(seq 1 "$retries"); do
-        if curl -sf "$url" > /dev/null 2>&1; then
-            return 0
-        fi
-        echo -ne "\r  Waiting for $label... ($i/$retries)"
-        sleep "$interval"
-    done
-    echo ""
-    err "$label not responding at $url after $retries attempts"
-    return 1
-}
-
-env_has_key() {
-    local file="$1" key="$2"
-    grep -q "^${key}=" "$file" 2>/dev/null
-}
-
-env_set() {
-    local file="$1" key="$2" value="$3"
-    if env_has_key "$file" "$key"; then
-        # Replace existing value (portable sed)
-        if [[ "$OS" == "Darwin" ]]; then
-            sed -i '' "s|^${key}=.*|${key}=${value}|" "$file"
-        else
-            sed -i "s|^${key}=.*|${key}=${value}|" "$file"
-        fi
-    else
-        echo "${key}=${value}" >> "$file"
-    fi
-}
-
-resolve_symlink() {
-    local file="$1"
-    if [[ -L "$file" ]]; then
-        warn "$(basename "$file") is a symlink — creating standalone copy"
-        cp -L "$file" "$file.tmp"
-        rm "$file"
-        mv "$file.tmp" "$file"
-    fi
-}
-
-compose_cmd() {
-    local compose_files="-f $ROOT_DIR/docker-compose.standalone.yml"
-    if [[ "$OS" == "Linux" ]] && [[ -n "${OLLAMA_PROFILE:-}" ]]; then
-        docker compose $compose_files --profile "$OLLAMA_PROFILE" "$@"
-    else
-        docker compose $compose_files "$@"
-    fi
-}
-
-# =========================================================
-# Step 1: LLM / Ollama
-# =========================================================
-step_llm() {
-    info "Step 1: LLM setup (Ollama + $MODEL)"
-
-    case "$OS" in
-        Darwin)
-            if ! command -v ollama &> /dev/null; then
-                err "Ollama not found. Install it:"
-                err "  brew install ollama"
-                err "  # or https://ollama.com/download"
-                exit 1
-            fi
-
-            # Start if not running
-            if ! curl -sf "http://localhost:$OLLAMA_PORT/api/tags" > /dev/null 2>&1; then
-                info "Starting Ollama..."
-                ollama serve &
-                disown
-            fi
-
-            wait_for_url "http://localhost:$OLLAMA_PORT/api/tags" "Ollama"
-            echo ""
-
-            # Pull model if not already present
-            if ollama list 2>/dev/null | awk '{print $1}' | grep -qxF "$MODEL"; then
-                ok "Model $MODEL already pulled"
-            else
-                info "Pulling model $MODEL (this may take a while)..."
-                ollama pull "$MODEL"
-            fi
-
-            LLM_URL_VALUE="http://host.docker.internal:$OLLAMA_PORT/v1"
-            ;;
-
-        Linux)
-            if command -v nvidia-smi &> /dev/null && nvidia-smi > /dev/null 2>&1; then
-                ok "NVIDIA GPU detected — using ollama-gpu profile"
-                OLLAMA_PROFILE="ollama-gpu"
-                OLLAMA_SVC="ollama"
-                LLM_URL_VALUE="http://ollama:$OLLAMA_PORT/v1"
-            else
-                warn "No NVIDIA GPU — using ollama-cpu profile"
-                OLLAMA_PROFILE="ollama-cpu"
-                OLLAMA_SVC="ollama-cpu"
-                LLM_URL_VALUE="http://ollama-cpu:$OLLAMA_PORT/v1"
-            fi
-
-            info "Starting Ollama container..."
-            compose_cmd up -d
-
-            wait_for_url "http://localhost:$OLLAMA_PORT/api/tags" "Ollama"
-            echo ""
-
-            # Pull model inside container
-            if compose_cmd exec "$OLLAMA_SVC" ollama list 2>/dev/null | awk '{print $1}' | grep -qxF "$MODEL"; then
-                ok "Model $MODEL already pulled"
-            else
-                info "Pulling model $MODEL inside container (this may take a while)..."
-                compose_cmd exec "$OLLAMA_SVC" ollama pull "$MODEL"
-            fi
-            ;;
-
-        *)
-            err "Unsupported OS: $OS"
-            exit 1
-            ;;
-    esac
-
-    ok "LLM ready ($MODEL via Ollama)"
-}
-
-# =========================================================
-# Step 2: Generate server/.env
-# =========================================================
-step_server_env() {
-    info "Step 2: Generating server/.env"
-
-    resolve_symlink "$SERVER_ENV"
-
-    if [[ -f "$SERVER_ENV" ]]; then
-        ok "server/.env already exists — ensuring standalone vars"
-    else
-        cat > "$SERVER_ENV" << 'ENVEOF'
-# Generated by setup-standalone.sh — standalone local development
-# Source of truth for settings: server/reflector/settings.py
-ENVEOF
-        ok "Created server/.env"
-    fi
-
-    # Ensure all standalone-critical vars (appends if missing, replaces if present)
-    env_set "$SERVER_ENV" "DATABASE_URL" "postgresql+asyncpg://reflector:reflector@postgres:5432/reflector"
-    env_set "$SERVER_ENV" "REDIS_HOST" "redis"
-    env_set "$SERVER_ENV" "CELERY_BROKER_URL" "redis://redis:6379/1"
-    env_set "$SERVER_ENV" "CELERY_RESULT_BACKEND" "redis://redis:6379/1"
-    env_set "$SERVER_ENV" "AUTH_BACKEND" "none"
-    env_set "$SERVER_ENV" "PUBLIC_MODE" "true"
-    # TRANSCRIPT_BACKEND, TRANSCRIPT_URL, DIARIZATION_BACKEND, DIARIZATION_URL
-    # are set via docker-compose.standalone.yml `environment:` overrides — not written here
-    # so we don't clobber the user's server/.env for non-standalone use.
-    env_set "$SERVER_ENV" "TRANSLATION_BACKEND" "passthrough"
-    env_set "$SERVER_ENV" "LLM_URL" "$LLM_URL_VALUE"
-    env_set "$SERVER_ENV" "LLM_MODEL" "$MODEL"
-    env_set "$SERVER_ENV" "LLM_API_KEY" "not-needed"
-
-    ok "Standalone vars set (LLM_URL=$LLM_URL_VALUE)"
-}
-
-# =========================================================
-# Step 3: Object storage (Garage)
-# =========================================================
-step_storage() {
-    info "Step 3: Object storage (Garage)"
-
-    # Generate garage.toml from template (fill in RPC secret)
-    GARAGE_TOML="$ROOT_DIR/scripts/garage.toml"
-    GARAGE_TOML_RUNTIME="$ROOT_DIR/data/garage.toml"
-    if [[ ! -f "$GARAGE_TOML_RUNTIME" ]]; then
-        mkdir -p "$ROOT_DIR/data"
-        RPC_SECRET=$(openssl rand -hex 32)
-        sed "s|__GARAGE_RPC_SECRET__|${RPC_SECRET}|" "$GARAGE_TOML" > "$GARAGE_TOML_RUNTIME"
-    fi
-
-    compose_cmd up -d garage
-
-    wait_for_url "http://localhost:3903/health" "Garage admin API"
-    echo ""
-
-    # Layout: get node ID, assign, apply (skip if already applied)
-    NODE_ID=$(compose_cmd exec -T garage /garage node id -q 2>/dev/null | tr -d '[:space:]')
-    LAYOUT_STATUS=$(compose_cmd exec -T garage /garage layout show 2>&1 || true)
-    if echo "$LAYOUT_STATUS" | grep -q "No nodes"; then
-        compose_cmd exec -T garage /garage layout assign "$NODE_ID" -c 1G -z dc1
-        compose_cmd exec -T garage /garage layout apply --version 1
-    fi
-
-    # Create bucket (idempotent — skip if exists)
-    if ! compose_cmd exec -T garage /garage bucket info reflector-media &>/dev/null; then
-        compose_cmd exec -T garage /garage bucket create reflector-media
-    fi
-
-    # Create key (idempotent — skip if exists)
-    CREATED_KEY=false
-    if compose_cmd exec -T garage /garage key info reflector &>/dev/null; then
-        ok "Key 'reflector' already exists"
-    else
-        KEY_OUTPUT=$(compose_cmd exec -T garage /garage key create reflector)
-        CREATED_KEY=true
-    fi
-
-    # Grant bucket permissions (idempotent)
-    compose_cmd exec -T garage /garage bucket allow reflector-media --read --write --key reflector
-
-    # Set env vars (only parse key on first create — key info redacts the secret)
-    env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_BACKEND" "aws"
-    env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL" "http://garage:3900"
-    env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_BUCKET_NAME" "reflector-media"
-    env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_REGION" "garage"
-    if [[ "$CREATED_KEY" == "true" ]]; then
-        KEY_ID=$(echo "$KEY_OUTPUT" | grep -i "key id" | awk '{print $NF}')
-        KEY_SECRET=$(echo "$KEY_OUTPUT" | grep -i "secret key" | awk '{print $NF}')
-        env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID" "$KEY_ID"
-        env_set "$SERVER_ENV" "TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY" "$KEY_SECRET"
-    fi
-
-    ok "Object storage ready (Garage)"
-}
-
-# =========================================================
-# Step 4: Generate www/.env.local
-# =========================================================
-step_www_env() {
-    info "Step 4: Generating www/.env.local"
-
-    resolve_symlink "$WWW_ENV"
-
-    if [[ -f "$WWW_ENV" ]]; then
-        ok "www/.env.local already exists — ensuring standalone vars"
-    else
-        cat > "$WWW_ENV" << 'ENVEOF'
-# Generated by setup-standalone.sh — standalone local development
-ENVEOF
-        ok "Created www/.env.local"
-    fi
-
-    env_set "$WWW_ENV" "SITE_URL" "http://localhost:3000"
-    env_set "$WWW_ENV" "NEXTAUTH_URL" "http://localhost:3000"
-    env_set "$WWW_ENV" "NEXTAUTH_SECRET" "standalone-dev-secret-not-for-production"
-    env_set "$WWW_ENV" "API_URL" "http://localhost:1250"
-    env_set "$WWW_ENV" "WEBSOCKET_URL" "ws://localhost:1250"
-    env_set "$WWW_ENV" "SERVER_API_URL" "http://server:1250"
-    env_set "$WWW_ENV" "FEATURE_REQUIRE_LOGIN" "false"
-
-    ok "Standalone www vars set"
-}
-
-# =========================================================
-# Step 5: Start all services
-# =========================================================
-step_services() {
-    info "Step 5: Starting Docker services"
-
-    # Check for port conflicts — stale processes silently shadow Docker port mappings.
-    # OrbStack/Docker Desktop bind ports for forwarding; ignore those PIDs.
-    local ports_ok=true
-    for port in 3000 1250 5432 6379 3900 3903; do
-        local pids
-        pids=$(lsof -ti :"$port" 2>/dev/null || true)
-        for pid in $pids; do
-            local pname
-            pname=$(ps -p "$pid" -o comm= 2>/dev/null || true)
-            # OrbStack and Docker Desktop own port forwarding — not real conflicts
-            if [[ "$pname" == *"OrbStack"* ]] || [[ "$pname" == *"com.docker"* ]] || [[ "$pname" == *"vpnkit"* ]]; then
-                continue
-            fi
-            warn "Port $port already in use by PID $pid ($pname)"
-            warn "Kill it with: lsof -ti :$port | xargs kill"
-            ports_ok=false
-        done
-    done
-    if [[ "$ports_ok" == "false" ]]; then
-        warn "Port conflicts detected — Docker containers may not be reachable"
-        warn "Continuing anyway (services will start but may be shadowed)"
-    fi
-
-    # Rebuild images if source has changed (Docker layer cache makes this fast when unchanged)
-    rebuild_images
-
-    # server runs alembic migrations on startup automatically (see runserver.sh)
-    compose_cmd up -d postgres redis garage cpu server worker beat web
-    ok "Containers started"
-
-    # Quick sanity check — catch containers that exit immediately (bad image, missing file, etc.)
-    sleep 3
-    local exited
-    exited=$(compose_cmd ps -a --format '{{.Name}} {{.Status}}' 2>/dev/null \
-        | grep -i 'exit' || true)
-    if [[ -n "$exited" ]]; then
-        warn "Some containers exited immediately:"
-        echo "$exited" | while read -r line; do warn "  $line"; done
-        dump_diagnostics
-    fi
-
-    info "Server is running migrations (alembic upgrade head)..."
-}
-
-# =========================================================
-# Step 6: Health checks
-# =========================================================
-step_health() {
-    info "Step 6: Health checks"
-
-    # CPU service may take a while on first start (model download + load).
-    # No host port exposed — check via docker exec.
-    info "Waiting for CPU service (first start downloads ~1GB of models)..."
-    local cpu_ok=false
-    for i in $(seq 1 120); do
-        if compose_cmd exec -T cpu curl -sf http://localhost:8000/docs > /dev/null 2>&1; then
-            cpu_ok=true
-            break
-        fi
-        echo -ne "\r  Waiting for CPU service... ($i/120)"
-        sleep 5
-    done
-    echo ""
-    if [[ "$cpu_ok" == "true" ]]; then
-        ok "CPU service healthy (transcription + diarization)"
-    else
-        warn "CPU service not ready yet — it will keep loading in the background"
-        warn "Check with: docker compose logs cpu"
-    fi
-
-    # Server may take a long time on first run — alembic migrations run before uvicorn starts.
-    # Use docker exec so this works regardless of network_mode or port mapping.
-    info "Waiting for Server API (first run includes database migrations)..."
-    local server_ok=false
-    for i in $(seq 1 90); do
-        # Check if container is still running
-        local svc_status
-        svc_status=$(compose_cmd ps server --format '{{.Status}}' 2>/dev/null || true)
-        if [[ -z "$svc_status" ]] || echo "$svc_status" | grep -qi 'exit'; then
-            echo ""
-            err "Server container exited unexpectedly"
-            dump_diagnostics server
-            exit 1
-        fi
-        # Health check from inside container (avoids host networking issues)
-        if compose_cmd exec -T server curl -sf http://localhost:1250/health > /dev/null 2>&1; then
-            server_ok=true
-            break
-        fi
-        echo -ne "\r  Waiting for Server API... ($i/90)"
-        sleep 5
-    done
-    echo ""
-    if [[ "$server_ok" == "true" ]]; then
-        ok "Server API healthy"
-    else
-        err "Server API not ready after ~7 minutes"
-        dump_diagnostics server
-        exit 1
-    fi
-
-    wait_for_url "http://localhost:3000" "Frontend" 90 3
-    echo ""
-    ok "Frontend responding"
-
-    # Check LLM reachability from inside a container
-    if compose_cmd exec -T server \
-        curl -sf "$LLM_URL_VALUE/models" > /dev/null 2>&1; then
-        ok "LLM reachable from containers"
-    else
-        warn "LLM not reachable from containers at $LLM_URL_VALUE"
-        warn "Summaries/topics/titles won't work until LLM is accessible"
-    fi
-}
-
-# =========================================================
-# Main
-# =========================================================
-main() {
-    echo ""
-    echo "=========================================="
-    echo " Reflector — Standalone Local Setup"
-    echo "=========================================="
-    echo ""
-
-    # Ensure we're in the repo root
-    if [[ ! -f "$ROOT_DIR/docker-compose.yml" ]]; then
-        err "docker-compose.yml not found in $ROOT_DIR"
-        err "Run this script from the repo root: ./scripts/setup-standalone.sh"
-        exit 1
-    fi
-
-    # Ensure Docker Compose V2 plugin is available.
-    # Check output for "Compose" — without the plugin, `docker compose version`
-    # may still exit 0 (falling through to `docker version`).
-    if ! docker compose version 2>/dev/null | grep -qi compose; then
-        err "Docker Compose plugin not found."
-        err "Install Docker Desktop, OrbStack, or: brew install docker-compose"
-        exit 1
-    fi
-
-    # Dockerfiles use RUN --mount which requires BuildKit.
-    # Docker Desktop/OrbStack bundle it; Colima/bare engine need docker-buildx.
-    if ! docker buildx version &>/dev/null; then
-        err "Docker BuildKit (buildx) not found."
-        err "Install Docker Desktop, OrbStack, or: brew install docker-buildx"
-        exit 1
-    fi
-
-    # LLM_URL_VALUE is set by step_llm, used by later steps
-    LLM_URL_VALUE=""
-    OLLAMA_PROFILE=""
-
-    # docker-compose.yml may reference env_files that don't exist yet;
-    # touch them so compose_cmd works before the steps that populate them.
-    touch "$SERVER_ENV" "$WWW_ENV"
-
-    step_llm
-    echo ""
-    step_server_env
-    echo ""
-    step_storage
-    echo ""
-    step_www_env
-    echo ""
-    step_services
-    echo ""
-    step_health
-
-    echo ""
-    echo "=========================================="
-    echo -e " ${GREEN}Reflector is running!${NC}"
-    echo "=========================================="
-    echo ""
-    echo "  Frontend:  http://localhost:3000"
-    echo "  API:       http://localhost:1250"
-    echo ""
-    echo "  To stop:   docker compose down"
-    echo "  To re-run: ./scripts/setup-standalone.sh"
-    echo ""
-}
-
-main "$@"
--- a/server/.env.example
+++ b/server/.env.example
@@ -66,22 +66,15 @@ TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run
 ## LLM backend (Required)
 ##
 ## Responsible for generating titles, summaries, and topic detection
-## Supports any OpenAI-compatible endpoint.
+## Requires OpenAI API key
 ## =======================================================

-## --- Option A: Local LLM via Ollama (recommended for dev) ---
-## Setup: ./scripts/setup-standalone.sh
-## Mac: Ollama runs natively (Metal GPU). Containers reach it via host.docker.internal.
-## Linux: docker compose --profile ollama-gpu up -d (or ollama-cpu for no GPU)
-LLM_URL=http://host.docker.internal:11434/v1
-LLM_MODEL=qwen2.5:14b
-LLM_API_KEY=not-needed
-## Linux with containerized Ollama: LLM_URL=http://ollama:11434/v1
+## OpenAI API key - get from https://platform.openai.com/account/api-keys
+LLM_API_KEY=sk-your-openai-api-key
+LLM_MODEL=gpt-4o-mini

-## --- Option B: Remote/cloud LLM ---
-#LLM_API_KEY=sk-your-openai-api-key
-#LLM_MODEL=gpt-4o-mini
-## LLM_URL defaults to OpenAI when unset
+## Optional: Custom endpoint (defaults to OpenAI)
+# LLM_URL=https://api.openai.com/v1

 ## Context size for summary generation (tokens)
 LLM_CONTEXT_WINDOW=16000
--- a/server/docs/DAILY_REFLECTOR_DATA_MODEL.md
+++ b/server/docs/DAILY_REFLECTOR_DATA_MODEL.md
@@ -1,496 +0,0 @@
-# Daily.co and Reflector Data Model
-
-This document explains the data model relationships between Daily.co's API concepts and Reflector's database schema, clarifying common sources of confusion.
-
---
-
-## Table of Contents
-
-1. [Core Entities Overview](#core-entities-overview)
-2. [Daily.co vs Reflector Terminology](#dailyco-vs-reflector-terminology)
-3. [Entity Relationships](#entity-relationships)
-4. [Recording Multiplicity](#recording-multiplicity)
-5. [Session Identifiers Explained](#session-identifiers-explained)
-6. [Time-Based Matching](#time-based-matching)
-7. [Multitrack Recording Details](#multitrack-recording-details)
-8. [Verified Example](#verified-example)
-
---
-
-## Core Entities Overview
-
-### Reflector's Four Primary Entities
-
-```
-┌─────────────────────────────────────────────────────────────────┐
-│ Room (Reflector)                                                │
-│ - Persistent meeting template                                   │
-│ - User-created configuration                                    │
-│ - Example: "team-standup"                                       │
-└────────────────────┬────────────────────────────────────────────┘
-                     │ 1:N
-                     ▼
-┌─────────────────────────────────────────────────────────────────┐
-│ Meeting (Reflector)                                             │
-│ - Single session instance                                       │
-│ - Creates NEW Daily.co room with timestamp                      │
-│ - Example: "team-standup-20260115120000"                        │
-└────────────────────┬────────────────────────────────────────────┘
-                     │ 1:N
-                     ▼
-┌─────────────────────────────────────────────────────────────────┐
-│ Recording (Reflector + Daily.co)                                │
-│ - One segment of audio/video                                    │
-│ - New recording created on stop/restart                         │
-│ - track_keys: JSON array of S3 file paths                       │
-└────────────────────┬────────────────────────────────────────────┘
-                     │ 1:1
-                     ▼
-┌─────────────────────────────────────────────────────────────────┐
-│ Transcript (Reflector)                                          │
-│ - Processed audio with transcription                            │
-│ - Diarization, summaries, topics                                │
-│ - One transcript per recording                                  │
-└─────────────────────────────────────────────────────────────────┘
-```
-
---
-
-## Daily.co vs Reflector Terminology
-
-### Room
-
-| Aspect | Daily.co | Reflector |
-|--------|----------|-----------|
-| **Definition** | Virtual meeting space on Daily.co platform | User-created meeting template/configuration |
-| **Lifetime** | Configurable expiration | Persistent until user deletes |
-| **Creation** | API call for each meeting | Pre-created by user once |
-| **Reuse** | Can host multiple sessions | Generates new Daily.co room per meeting |
-| **Name Format** | `room-name` (reusable) | `room-name` (base identifier) |
-| **Timestamping** | Not required | Meeting adds timestamp: `{name}-YYYYMMDDHHMMSS` |
-
-**Example:**
-```
-Reflector Room: "daily-private-igor" (persistent config)
-    ↓ starts meeting
-Daily.co Room: "daily-private-igor-20260110042117"
-```
-
-### Meeting
-
-| Aspect | Daily.co | Reflector |
-|--------|----------|-----------|
-| **Definition** | Session that starts when first participant joins | Explicit database record of a session |
-| **Identifier** | `mtgSessionId` (generated by Daily.co) | `meeting.id` (UUID, generated by Reflector) |
-| **Creation** | Implicit (first participant join) | Explicit API call before participants join |
-| **Purpose** | Tracks active session state | Links recordings, transcripts, participants |
-| **Scope** | Per room instance | Per Reflector room + timestamp |
-
-**Critical Limitation:** Daily.co's recordings API often does NOT return `mtgSessionId`, requiring time-based matching (see [Time-Based Matching](#time-based-matching)).
-
-### Recording
-
-| Aspect | Daily.co | Reflector |
-|--------|----------|-----------|
-| **Definition** | Audio/video files on S3 | Metadata + processing status |
-| **Types** | `cloud` (composed video), `raw-tracks` (multitrack) | Stores references + `track_keys` array |
-| **Multiplicity** | One recording object per start/stop cycle | One DB row per Daily.co recording object |
-| **Identifier** | Daily.co `recording_id` | Same `recording_id` (stored in DB) |
-| **Multitrack** | Array of `.webm` files (one per participant) | `track_keys` JSON array with S3 paths |
-| **Linkage** | Via `room_name` + `start_ts` | FK `meeting_id` (set via time-based match) |
-
-**Critical Behavior:** Recording **stops/restarts** create **separate recording objects** with unique IDs.
-
---
-
-## Entity Relationships
-
-### Database Schema Relationships
-
-```sql
-- Simplified schema showing key relationships
-
-TABLE room (
-    id VARCHAR PRIMARY KEY,
-    name VARCHAR UNIQUE,
-    platform VARCHAR  -- 'whereby' | 'daily'
-)
-
-TABLE meeting (
-    id VARCHAR PRIMARY KEY,
-    room_id VARCHAR REFERENCES room(id) ON DELETE CASCADE,  -- nullable
-    room_name VARCHAR,  -- Daily.co room name (timestamped)
-    start_date TIMESTAMP,
-    platform VARCHAR
-)
-
-TABLE recording (
-    id VARCHAR PRIMARY KEY,  -- Daily.co recording_id
-    meeting_id VARCHAR,      -- FK to meeting (set via time-based match)
-    bucket_name VARCHAR,
-    object_key VARCHAR,      -- S3 prefix
-    track_keys JSON,         -- Array of S3 keys for multitrack
-    recorded_at TIMESTAMP
-)
-
-TABLE transcript (
-    id VARCHAR PRIMARY KEY,
-    recording_id VARCHAR,    -- nullable FK
-    meeting_id VARCHAR,      -- nullable FK
-    room_id VARCHAR,         -- nullable FK
-    participants JSON,       -- [{id, speaker, name, user_id}, ...]
-    title VARCHAR,
-    long_summary VARCHAR,
-    webvtt TEXT
-)
-```
-
-**Relationship Cardinalities:**
-```
-1 Room → N Meetings
-1 Meeting → N Recordings (common: 1-21 recordings per meeting)
-1 Recording → 1 Transcript
-1 Meeting → N Transcripts (via recordings)
-```
-
---
-
-## Recording Multiplicity
-
-### Why Multiple Recordings Per Meeting?
-
-Daily.co creates a **new recording object** (new ID, new files) whenever recording stops and restarts. This happens due to:
-
-1. **Manual stop/start** - User clicks stop, then start recording again
-2. **Network reconnection** - Participant drops, reconnects → triggers restart
-3. **Participant rejoin** - Last participant leaves, new one joins → new session
-
---
-
-## Session Identifiers Explained
-
-### The Hidden Entity: Daily.co Meeting Session
-
-Daily.co has an **implicit ephemeral entity** that sits between Room and Recording:
-
-```
-Daily.co Room: "daily-private-igor-20260110042117"
-    │
-    ├─ Daily.co Meeting Session #1 (mtgSessionId: c04334de...)
-    │   └─ Recording #3 (f4a50f94) - 4s, 1 track
-    │
-    └─ Daily.co Meeting Session #2 (mtgSessionId: 4cdae3c0...)
-        ├─ Recording #2 (b0fa94da) - 80s, 2 tracks  ← recording stopped
-        └─ Recording #1 (05edf519) - 62s, 1 track   ← then restarted
-```
-
-**Daily.co Meeting Session:**
- **Lifecycle:** Starts when first participant joins, ends when last participant leaves
- **Identifier:** `mtgSessionId` (generated by Daily.co)
- **Persistence:** Ephemeral - new ID if everyone leaves and someone rejoins
- **Relationship:** 1 Session → N Recordings (if recording stops/restarts during session)
-
-**Key Insight:** Multiple recordings can share the same `mtgSessionId` if recording was stopped and restarted while participants remained connected.
-
-### mtgSessionId (Meeting Session Identifier)
-
-`mtgSessionId` identifies a **Daily.co meeting session** (not individual participants, not a room).
-
-### session_id (Per-Participant)
-
-**Different concept:** Per-participant connection identifier from webhooks.
-
-**Reflector Tracking:** `daily_participant_session` table
-```sql
-TABLE daily_participant_session (
-    id VARCHAR PRIMARY KEY,        -- {meeting_id}:{user_id}:{joined_at_ms}
-    meeting_id VARCHAR,
-    session_id VARCHAR,            -- From webhook (per-participant)
-    user_id VARCHAR,
-    user_name VARCHAR,
-    joined_at TIMESTAMP,
-    left_at TIMESTAMP
-)
-```
---
-
-## Time-Based Matching
-
-### Problem Statement
-
-Daily.co's recordings API does not reliably return `mtgSessionId`, making it impossible to directly link recordings to meetings via Daily.co's identifiers.
-
-**Example API response:**
-```json
-{
-  "id": "recording-uuid",
-  "room_name": "daily-private-igor-20260110042117",
-  "start_ts": 1768018896,
-  "mtgSessionId": null  ← Missing!
-}
-```
-
-### Solution: Time-Based Matching
-
-**Implementation:** `reflector/db/meetings.py:get_by_room_name_and_time()`
-
-
---
-
-## Multitrack Recording Details
-
-### track_keys JSON Array
-
-**Schema:** `recording.track_keys` (JSON, nullable)
-```sql
-- Example recording with 2 audio tracks
-{
-  "id": "b0fa94da-73b5-4f95-9239-5216a682a505",
-  "track_keys": [
-    "igormonadical/daily-private-igor-20260110042117/1768018896877-890c0eae-e186-4534-a7bd-7c794b7d6d7f-cam-audio-1768018914565",
-    "igormonadical/daily-private-igor-20260110042117/1768018896877-9660e8e9-4297-4f17-951d-0b2bf2401803-cam-audio-1768018899286"
-  ]
-}
-```
-
-**Semantics:**
- `track_keys = null` → Not multitrack (cloud recording)
- `track_keys = []` → Multitrack recording with no audio captured (silence/muted)
- `track_keys = [...]` → Multitrack with N audio tracks
-
-**Property:** `recording.is_multitrack` (Python)
-```python
-@property
-def is_multitrack(self) -> bool:
-    return self.track_keys is not None and len(self.track_keys) > 0
-```
-
-### Track Filename Format
-
-Daily.co multitrack filenames encode timing and participant information:
-
-**Format:** `{recording_start_ts}-{participant_id}-cam-audio-{track_start_ts}`
-
-**Example:** `1768018896877-890c0eae-e186-4534-a7bd-7c794b7d6d7f-cam-audio-1768018914565`
-
-**Parsed Components:**
-```python
-# reflector/utils/daily.py:25-60
-class DailyRecordingFilename(NamedTuple):
-    recording_start_ts: int  # 1768018896877 (milliseconds)
-    participant_id: str      # 890c0eae-e186-4534-a7bd-7c794b7d6d7f
-    track_start_ts: int      # 1768018914565 (milliseconds)
-```
-
-**Note:** Browser downloads from S3 add `.webm` extension due to MIME headers, but S3 object keys have no extension.
-
-### Video Track Filtering
-
-Daily.co API returns both audio and video tracks, but Reflector only processes audio.
-
-**Filtering Logic:** `reflector/worker/process.py:660`
-```python
-track_keys = [t.s3Key for t in recording.tracks if t.type == "audio"]
-```
-
-**Example API Response:**
-```json
-{
-  "tracks": [
-    {"type": "audio", "s3Key": "...cam-audio-1768018914565"},
-    {"type": "audio", "s3Key": "...cam-audio-1768018899286"},
-    {"type": "video", "s3Key": "...cam-video-1768018897095"}  ← Filtered out
-  ]
-}
-```
-
-**Result:** Only 2 audio tracks stored in `recording.track_keys`, video track discarded.
-
-**Rationale:** Reflector is audio transcription system; video not needed for processing.
-
-### Track-to-Participant Mapping
-
-**Flow:**
-1. Daily.co webhook/polling provides `track_keys` array
-2. Each track filename contains `participant_id`
-3. Reflector queries Daily.co API: `GET /meetings/{mtgSessionId}/participants`
-4. Maps `participant_id` → `user_name`
-5. Stores in `transcript.participants` JSON:
-```json
-[
-  {
-    "id": "890c0eae-e186-4534-a7bd-7c794b7d6d7f",
-    "speaker": 0,
-    "name": "test2",
-    "user_id": "907f2cc1-eaab-435f-8ee2-09185f416b22"
-  },
-  {
-    "id": "9660e8e9-4297-4f17-951d-0b2bf2401803",
-    "speaker": 1,
-    "name": "test",
-    "user_id": "907f2cc1-eaab-435f-8ee2-09185f416b22"
-  }
-]
-```
-
-**Diarization:** Multitrack recordings don't need speaker diarization AI — speaker identity comes from separate audio tracks.
-
---
-
-## Example
-
-### Meeting: daily-private-igor-20260110042117
-
-**Context:** User conducted test recording with start/stop cycles, producing 3 recordings.
-
-#### Database State
-
-```sql
-- Meeting
-id: 034804b8-cee2-4fb4-94d7-122f6f068a61
-room_name: daily-private-igor-20260110042117
-start_date: 2026-01-10 04:21:17+00
-```
-
-#### Daily.co API Response
-
-```json
-[
-  {
-    "id": "f4a50f94-053c-4f9d-bda6-78ad051fbc36",
-    "room_name": "daily-private-igor-20260110042117",
-    "start_ts": 1768018885,
-    "duration": 4,
-    "status": "finished",
-    "mtgSessionId": "c04334de-42a0-4c2a-96be-a49b068dca85",
-    "tracks": [
-      {"type": "audio", "s3Key": "...62e8f3ae...cam-audio-1768018885417"}
-    ]
-  },
-  {
-    "id": "b0fa94da-73b5-4f95-9239-5216a682a505",
-    "room_name": "daily-private-igor-20260110042117",
-    "start_ts": 1768018896,
-    "duration": 80,
-    "status": "finished",
-    "mtgSessionId": "4cdae3c0-86cb-4578-8a6d-3a228bb48345",
-    "tracks": [
-      {"type": "audio", "s3Key": "...890c0eae...cam-audio-1768018914565"},
-      {"type": "audio", "s3Key": "...9660e8e9...cam-audio-1768018899286"},
-      {"type": "video", "s3Key": "...9660e8e9...cam-video-1768018897095"}
-    ]
-  },
-  {
-    "id": "05edf519-9048-4b49-9a75-73e9826fd950",
-    "room_name": "daily-private-igor-20260110042117",
-    "start_ts": 1768018914,
-    "duration": 62,
-    "status": "finished",
-    "mtgSessionId": "4cdae3c0-86cb-4578-8a6d-3a228bb48345",
-    "tracks": [
-      {"type": "audio", "s3Key": "...890c0eae...cam-audio-1768018914948"}
-    ]
-  }
-]
-```
-
-**Key Observations:**
- 3 recording objects returned by Daily.co
- 2 different `mtgSessionId` values (2 different meeting instances)
- Recording #2 has 3 tracks (2 audio + 1 video)
- Timestamps: 1768018885 → 1768018896 (+11s) → 1768018914 (+18s)
-
-#### Reflector Database
-
-**Recordings:**
-```
-┌──────────────────────────────────────┬──────────────┬────────────┬──────────────────────────────────────┐
-│ id                                   │ track_count  │ duration   │ mtgSessionId                         │
-├──────────────────────────────────────┼──────────────┼────────────┼──────────────────────────────────────┤
-│ f4a50f94-053c-4f9d-bda6-78ad051fbc36 │ 1            │ 4s         │ c04334de-42a0-4c2a-96be-a49b068dca85 │
-│ b0fa94da-73b5-4f95-9239-5216a682a505 │ 2 (video=0)  │ 80s        │ 4cdae3c0-86cb-4578-8a6d-3a228bb48345 │
-│ 05edf519-9048-4b49-9a75-73e9826fd950 │ 1            │ 62s        │ 4cdae3c0-86cb-4578-8a6d-3a228bb48345 │
-└──────────────────────────────────────┴──────────────┴────────────┴──────────────────────────────────────┘
-```
-**Note:** Recording #2 has 2 audio tracks (video filtered out), not 3.
-
-**Transcripts:**
-```
-┌──────────────────────────────────────┬──────────────────────────────────────┬──────────────┬──────────────────────────────────────────────┐
-│ id                                   │ recording_id                         │ participants │ title                                        │
-├──────────────────────────────────────┼──────────────────────────────────────┼──────────────┼──────────────────────────────────────────────┤
-│ 17149b1f-546c-4837-80a0-f8140bd16592 │ f4a50f94-053c-4f9d-bda6-78ad051fbc36 │ 1 (test)     │ (empty - no speech)                          │
-│ 49801332-3222-4c11-bdb2-375479fc87f2 │ b0fa94da-73b5-4f95-9239-5216a682a505 │ 2 (test,     │ "Examination and Validation Procedures       │
-│                                      │                                      │   test2)     │  Review"                                     │
-│ e5271e12-20fb-42d2-b5a8-21438abadef9 │ 05edf519-9048-4b49-9a75-73e9826fd950 │ 1 (test2)    │ "Technical Sound Check Procedure Review"     │
-└──────────────────────────────────────┴──────────────────────────────────────┴──────────────┴──────────────────────────────────────────────┘
-```
-
-**Transcript Content:**
-
-*Transcript #1* (17149b1f): Empty WebVTT (no audio captured)
-
-*Transcript #2* (49801332):
-```webvtt
-WEBVTT
-
-00:00:03.109 --> 00:00:05.589
-<v Speaker1>Test, test, test. Test, test, test, test, test.
-
-00:00:19.829 --> 00:00:22.710
-<v Speaker0>Test test test test test test test test test test test.
-```
-**AI-Generated Summary:**
-> "The meeting focused on the critical importance of rigorous testing for ensuring reliability and quality, with test and test2 emphasizing the need for a structured testing framework and meticulous documentation..."
-
-*Transcript #3* (e5271e12):
-```webvtt
-WEBVTT
-
-00:00:02.029 --> 00:00:04.910
-<v Speaker0>Test, test, test, test, test, test, test, test, test, test, test.
-```
-
-#### Validation: track_keys → participants
-
-**Recording #2 (b0fa94da) tracks:**
-```json
-[
-  ".../890c0eae-e186-4534-a7bd-7c794b7d6d7f-cam-audio-...",
-  ".../9660e8e9-4297-4f17-951d-0b2bf2401803-cam-audio-..."
-]
-```
-
-**Transcript #2 (49801332) participants:**
-```json
-[
-  {"id": "890c0eae-e186-4534-a7bd-7c794b7d6d7f", "speaker": 0, "name": "test2"},
-  {"id": "9660e8e9-4297-4f17-951d-0b2bf2401803", "speaker": 1, "name": "test"}
-]
-```
-
-### Data Flow
-
-```
-Daily.co API: 3 recordings
-    ↓
-Polling: _poll_raw_tracks_recordings()
-    ↓
-Worker: process_multitrack_recording.delay() × 3
-    ↓
-DB: 3 recording rows created
-    ↓
-Pipeline: Audio processing + transcription × 3
-    ↓
-DB: 3 transcript rows created (1:1 with recordings)
-    ↓
-UI: User sees 3 separate transcripts
-```
-
-**Result:** ✅ 1:1 Recording → Transcript relationship maintained.
-
-
---
-**Document Version:** 1.0
-**Last Verified:** 2026-01-15
-**Data Source:** Production database + Daily.co API inspection
--- a/server/migrations/versions/1b1e6a6fc465_add_cloud_recording_support.py
+++ b/server/migrations/versions/1b1e6a6fc465_add_cloud_recording_support.py
@@ -1,40 +0,0 @@
-"""add cloud recording support
-
-Revision ID: 1b1e6a6fc465
-Revises: bd3a729bb379
-Create Date: 2026-01-09 17:17:33.535620
-
-"""
-
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision: str = "1b1e6a6fc465"
-down_revision: Union[str, None] = "bd3a729bb379"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    with op.batch_alter_table("meeting", schema=None) as batch_op:
-        batch_op.add_column(
-            sa.Column("daily_composed_video_s3_key", sa.String(), nullable=True)
-        )
-        batch_op.add_column(
-            sa.Column("daily_composed_video_duration", sa.Integer(), nullable=True)
-        )
-
-    # ### end Alembic commands ###
-
-
-def downgrade() -> None:
-    # ### commands auto generated by Alembic - please adjust! ###
-    with op.batch_alter_table("meeting", schema=None) as batch_op:
-        batch_op.drop_column("daily_composed_video_duration")
-        batch_op.drop_column("daily_composed_video_s3_key")
-
-    # ### end Alembic commands ###
--- a/server/migrations/versions/3aa20b96d963_drop_use_celery_column.py
+++ b/server/migrations/versions/3aa20b96d963_drop_use_celery_column.py
@@ -1,35 +0,0 @@
-"""drop_use_celery_column
-
-Revision ID: 3aa20b96d963
-Revises: e69f08ead8ea
-Create Date: 2026-02-05 10:12:44.065279
-
-"""
-
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision: str = "3aa20b96d963"
-down_revision: Union[str, None] = "e69f08ead8ea"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("room", schema=None) as batch_op:
-        batch_op.drop_column("use_celery")
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("room", schema=None) as batch_op:
-        batch_op.add_column(
-            sa.Column(
-                "use_celery",
-                sa.Boolean(),
-                server_default=sa.text("false"),
-                nullable=False,
-            )
-        )
--- a/server/migrations/versions/80beb1ea3269_replace_use_hatchet_with_use_celery.py
+++ b/server/migrations/versions/80beb1ea3269_replace_use_hatchet_with_use_celery.py
@@ -1,44 +0,0 @@
-"""replace_use_hatchet_with_use_celery
-
-Revision ID: 80beb1ea3269
-Revises: bd3a729bb379
-Create Date: 2026-01-20 16:26:25.555869
-
-"""
-
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision: str = "80beb1ea3269"
-down_revision: Union[str, None] = "bd3a729bb379"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("room", schema=None) as batch_op:
-        batch_op.add_column(
-            sa.Column(
-                "use_celery",
-                sa.Boolean(),
-                server_default=sa.text("false"),
-                nullable=False,
-            )
-        )
-        batch_op.drop_column("use_hatchet")
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("room", schema=None) as batch_op:
-        batch_op.add_column(
-            sa.Column(
-                "use_hatchet",
-                sa.Boolean(),
-                server_default=sa.text("false"),
-                nullable=False,
-            )
-        )
-        batch_op.drop_column("use_celery")
--- a/server/migrations/versions/e69f08ead8ea_merge_cloud_recording_and_celery_heads.py
+++ b/server/migrations/versions/e69f08ead8ea_merge_cloud_recording_and_celery_heads.py
@@ -1,23 +0,0 @@
-"""merge cloud recording and celery heads
-
-Revision ID: e69f08ead8ea
-Revises: 1b1e6a6fc465, 80beb1ea3269
-Create Date: 2026-01-21 21:39:10.326841
-
-"""
-
-from typing import Sequence, Union
-
-# revision identifiers, used by Alembic.
-revision: str = "e69f08ead8ea"
-down_revision: Union[str, None] = ("1b1e6a6fc465", "80beb1ea3269")
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    pass
-
-
-def downgrade() -> None:
-    pass
--- a/server/pyproject.toml
+++ b/server/pyproject.toml
@@ -8,7 +8,7 @@ readme = "README.md"
 dependencies = [
    "aiohttp>=3.9.0",
    "aiohttp-cors>=0.7.0",
-    "av>=15.0.0",
+    "av>=10.0.0",
    "requests>=2.31.0",
    "aiortc>=1.5.0",
    "sortedcontainers>=2.4.0",
@@ -68,6 +68,7 @@ evaluation = [
    "pydantic>=2.1.1",
 ]
 local = [
+    "pyannote-audio>=3.3.2",
    "faster-whisper>=0.10.0",
 ]
 silero-vad = [
--- a/server/reflector/app.py
+++ b/server/reflector/app.py
@@ -18,6 +18,7 @@ from reflector.views.rooms import router as rooms_router
 from reflector.views.rtc_offer import router as rtc_offer_router
 from reflector.views.transcripts import router as transcripts_router
 from reflector.views.transcripts_audio import router as transcripts_audio_router
+from reflector.views.transcripts_chat import router as transcripts_chat_router
 from reflector.views.transcripts_participants import (
    router as transcripts_participants_router,
 )
@@ -90,6 +91,7 @@ app.include_router(transcripts_participants_router, prefix="/v1")
 app.include_router(transcripts_speaker_router, prefix="/v1")
 app.include_router(transcripts_upload_router, prefix="/v1")
 app.include_router(transcripts_websocket_router, prefix="/v1")
+app.include_router(transcripts_chat_router, prefix="/v1")
 app.include_router(transcripts_webrtc_router, prefix="/v1")
 app.include_router(transcripts_process_router, prefix="/v1")
 app.include_router(user_router, prefix="/v1")
--- a/server/reflector/asynctask.py
+++ b/server/reflector/asynctask.py
@@ -22,8 +22,6 @@ def asynctask(f):
                await database.disconnect()

        coro = run_with_db()
-        if current_task:
-            return asyncio.run(coro)
        try:
            loop = asyncio.get_running_loop()
        except RuntimeError:
--- a/server/reflector/auth/init.py
+++ b/server/reflector/auth/init.py
@@ -12,5 +12,3 @@ AccessTokenInfo = auth_module.AccessTokenInfo
 authenticated = auth_module.authenticated
 current_user = auth_module.current_user
 current_user_optional = auth_module.current_user_optional
-parse_ws_bearer_token = auth_module.parse_ws_bearer_token
-current_user_ws_optional = auth_module.current_user_ws_optional
--- a/server/reflector/auth/auth_jwt.py
+++ b/server/reflector/auth/auth_jwt.py
@@ -1,9 +1,6 @@
-from typing import TYPE_CHECKING, Annotated, List, Optional
+from typing import Annotated, List, Optional

 from fastapi import Depends, HTTPException
-
-if TYPE_CHECKING:
-    from fastapi import WebSocket
 from fastapi.security import APIKeyHeader, OAuth2PasswordBearer
 from jose import JWTError, jwt
 from pydantic import BaseModel
@@ -127,20 +124,3 @@ async def current_user_optional(
    jwtauth: JWTAuth = Depends(),
 ):
    return await _authenticate_user(jwt_token, api_key, jwtauth)
-
-
-def parse_ws_bearer_token(
-    websocket: "WebSocket",
-) -> tuple[Optional[str], Optional[str]]:
-    raw = websocket.headers.get("sec-websocket-protocol") or ""
-    parts = [p.strip() for p in raw.split(",") if p.strip()]
-    if len(parts) >= 2 and parts[0].lower() == "bearer":
-        return parts[1], "bearer"
-    return None, None
-
-
-async def current_user_ws_optional(websocket: "WebSocket") -> Optional[UserInfo]:
-    token, _ = parse_ws_bearer_token(websocket)
-    if not token:
-        return None
-    return await _authenticate_user(token, None, JWTAuth())
--- a/server/reflector/auth/auth_none.py
+++ b/server/reflector/auth/auth_none.py
@@ -1,5 +1,11 @@
+from typing import Annotated
+
+from fastapi import Depends
+from fastapi.security import OAuth2PasswordBearer
 from pydantic import BaseModel

+oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token", auto_error=False)
+

 class UserInfo(BaseModel):
    sub: str
@@ -9,21 +15,13 @@ class AccessTokenInfo(BaseModel):
    pass


-def authenticated():
+def authenticated(token: Annotated[str, Depends(oauth2_scheme)]):
    return None


-def current_user():
+def current_user(token: Annotated[str, Depends(oauth2_scheme)]):
    return None


-def current_user_optional():
-    return None
-
-
-def parse_ws_bearer_token(websocket):
-    return None, None
-
-
-async def current_user_ws_optional(websocket):
+def current_user_optional(token: Annotated[str, Depends(oauth2_scheme)]):
    return None
--- a/server/reflector/dailyco_api/init.py
+++ b/server/reflector/dailyco_api/init.py
@@ -3,7 +3,7 @@ Daily.co API Module
 """

 # Client
-from .client import DailyApiClient, DailyApiError, RecordingType
+from .client import DailyApiClient, DailyApiError

 # Request models
 from .requests import (
@@ -64,7 +64,6 @@ __all__ = [
    # Client
    "DailyApiClient",
    "DailyApiError",
-    "RecordingType",
    # Requests
    "CreateRoomRequest",
    "RoomProperties",
--- a/server/reflector/dailyco_api/client.py
+++ b/server/reflector/dailyco_api/client.py
@@ -7,8 +7,7 @@ Reference: https://docs.daily.co/reference/rest-api
 """

 from http import HTTPStatus
-from typing import Any, Literal
-from uuid import UUID
+from typing import Any

 import httpx
 import structlog
@@ -33,8 +32,6 @@ from .responses import (

 logger = structlog.get_logger(__name__)

-RecordingType = Literal["cloud", "raw-tracks"]
-

 class DailyApiError(Exception):
    """Daily.co API error with full request/response context."""
@@ -146,8 +143,6 @@ class DailyApiClient:
            )
            raise DailyApiError(operation, response)

-        if not response.content:
-            return {}
        return response.json()

    # ============================================================================
@@ -400,38 +395,6 @@ class DailyApiClient:

        return [RecordingResponse(**r) for r in data["data"]]

-    async def start_recording(
-        self,
-        room_name: NonEmptyString,
-        recording_type: RecordingType,
-        instance_id: UUID,
-    ) -> dict[str, Any]:
-        """Start recording via REST API.
-
-        Reference: https://docs.daily.co/reference/rest-api/rooms/recordings/start
-
-        Args:
-            room_name: Daily.co room name
-            recording_type: Recording type
-            instance_id: UUID for this recording session
-
-        Returns:
-            Recording start confirmation from Daily.co API
-
-        Raises:
-            DailyApiError: If API request fails
-        """
-        client = await self._get_client()
-        response = await client.post(
-            f"{self.base_url}/rooms/{room_name}/recordings/start",
-            headers=self.headers,
-            json={
-                "type": recording_type,
-                "instanceId": str(instance_id),
-            },
-        )
-        return await self._handle_response(response, "start_recording")
-
    # ============================================================================
    # MEETING TOKENS
    # ============================================================================
--- a/server/reflector/dailyco_api/instance_id.py
+++ b/server/reflector/dailyco_api/instance_id.py
@@ -1,37 +0,0 @@
-"""
-Daily.co recording instanceId generation utilities.
-
-Deterministic instance ID generation for cloud and raw-tracks recordings.
-MUST match frontend logic
-"""
-
-from uuid import UUID, uuid5
-
-from reflector.utils.string import NonEmptyString
-
-# Namespace UUID for UUIDv5 generation of raw-tracks instanceIds
-# DO NOT CHANGE: Breaks instanceId determinism across deployments and frontend/backend matching
-RAW_TRACKS_NAMESPACE = UUID("a1b2c3d4-e5f6-7890-abcd-ef1234567890")
-
-
-def generate_cloud_instance_id(meeting_id: NonEmptyString) -> UUID:
-    """
-    Generate instanceId for cloud recording.
-
-    Cloud recordings use meeting ID directly as instanceId.
-    This ensures each meeting has one unique cloud recording.
-    """
-    return UUID(meeting_id)
-
-
-def generate_raw_tracks_instance_id(meeting_id: NonEmptyString) -> UUID:
-    """
-    Generate instanceId for raw-tracks recording.
-
-    Raw-tracks recordings use UUIDv5(meeting_id, namespace) to ensure
-    different instanceId from cloud while remaining deterministic.
-
-    Daily.co requires cloud and raw-tracks to have different instanceIds
-    for concurrent recording.
-    """
-    return uuid5(RAW_TRACKS_NAMESPACE, meeting_id)
--- a/server/reflector/dailyco_api/requests.py
+++ b/server/reflector/dailyco_api/requests.py
@@ -88,6 +88,13 @@ class MeetingTokenProperties(BaseModel):
    is_owner: bool = Field(
        default=False, description="Grant owner privileges to token holder"
    )
+    start_cloud_recording: bool = Field(
+        default=False, description="Automatically start cloud recording on join"
+    )
+    start_cloud_recording_opts: dict | None = Field(
+        default=None,
+        description="Options for startRecording when start_cloud_recording is true (e.g., maxDuration)",
+    )
    enable_recording_ui: bool = Field(
        default=True, description="Show recording controls in UI"
    )
--- a/server/reflector/dailyco_api/responses.py
+++ b/server/reflector/dailyco_api/responses.py
@@ -116,7 +116,6 @@ class RecordingS3Info(BaseModel):

    bucket_name: NonEmptyString
    bucket_region: NonEmptyString
-    key: NonEmptyString | None = None
    endpoint: NonEmptyString | None = None


@@ -133,9 +132,6 @@ class RecordingResponse(BaseModel):
    id: NonEmptyString = Field(description="Recording identifier")
    room_name: NonEmptyString = Field(description="Room where recording occurred")
    start_ts: int = Field(description="Recording start timestamp (Unix epoch seconds)")
-    type: Literal["cloud", "raw-tracks"] | None = Field(
-        None, description="Recording type (may be missing from API)"
-    )
    status: RecordingStatus = Field(
        description="Recording status ('in-progress' or 'finished')"
    )
@@ -149,9 +145,6 @@ class RecordingResponse(BaseModel):
        None, description="Token for sharing recording"
    )
    s3: RecordingS3Info | None = Field(None, description="S3 bucket information")
-    s3key: NonEmptyString | None = Field(
-        None, description="S3 key for cloud recordings (top-level field)"
-    )
    tracks: list[DailyTrack] = Field(
        default_factory=list,
        description="Track list for raw-tracks recordings (always array, never null)",
--- a/server/reflector/dailyco_api/webhook_utils.py
+++ b/server/reflector/dailyco_api/webhook_utils.py
@@ -99,7 +99,7 @@ def extract_room_name(event: DailyWebhookEvent) -> str | None:
        >>> event = DailyWebhookEvent(**webhook_payload)
        >>> room_name = extract_room_name(event)
    """
-    room = event.payload.get("room_name") or event.payload.get("room")
+    room = event.payload.get("room_name")
    # Ensure we return a string, not any falsy value that might be in payload
    return room if isinstance(room, str) else None

--- a/server/reflector/dailyco_api/webhooks.py
+++ b/server/reflector/dailyco_api/webhooks.py
@@ -6,7 +6,7 @@ Reference: https://docs.daily.co/reference/rest-api/webhooks

 from typing import Annotated, Any, Dict, Literal, Union

-from pydantic import AliasChoices, BaseModel, ConfigDict, Field, field_validator
+from pydantic import BaseModel, Field, field_validator

 from reflector.utils.string import NonEmptyString

@@ -41,8 +41,6 @@ class DailyTrack(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/recordings
    """

-    model_config = ConfigDict(extra="ignore")
-
    type: Literal["audio", "video"]
    s3Key: NonEmptyString = Field(description="S3 object key for the track file")
    size: int = Field(description="File size in bytes")
@@ -56,8 +54,6 @@ class DailyWebhookEvent(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks
    """

-    model_config = ConfigDict(extra="ignore")
-
    version: NonEmptyString = Field(
        description="Represents the version of the event. This uses semantic versioning to inform a consumer if the payload has introduced any breaking changes"
    )
@@ -86,13 +82,7 @@ class ParticipantJoinedPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/participant-joined
    """

-    model_config = ConfigDict(extra="ignore")
-
-    room_name: NonEmptyString | None = Field(
-        None,
-        description="Daily.co room name",
-        validation_alias=AliasChoices("room_name", "room"),
-    )
+    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
    session_id: NonEmptyString = Field(description="Daily.co session identifier")
    user_id: NonEmptyString = Field(description="User identifier (may be encoded)")
    user_name: NonEmptyString | None = Field(None, description="User display name")
@@ -110,13 +100,7 @@ class ParticipantLeftPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/participant-left
    """

-    model_config = ConfigDict(extra="ignore")
-
-    room_name: NonEmptyString | None = Field(
-        None,
-        description="Daily.co room name",
-        validation_alias=AliasChoices("room_name", "room"),
-    )
+    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
    session_id: NonEmptyString = Field(description="Daily.co session identifier")
    user_id: NonEmptyString = Field(description="User identifier (may be encoded)")
    user_name: NonEmptyString | None = Field(None, description="User display name")
@@ -128,9 +112,6 @@ class ParticipantLeftPayload(BaseModel):
    _normalize_joined_at = field_validator("joined_at", mode="before")(
        normalize_timestamp_to_int
    )
-    _normalize_duration = field_validator("duration", mode="before")(
-        normalize_timestamp_to_int
-    )


 class RecordingStartedPayload(BaseModel):
@@ -140,8 +121,6 @@ class RecordingStartedPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-started
    """

-    model_config = ConfigDict(extra="ignore")
-
    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
    recording_id: NonEmptyString = Field(description="Recording identifier")
    start_ts: int | None = Field(None, description="Recording start timestamp")
@@ -159,9 +138,7 @@ class RecordingReadyToDownloadPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-ready-to-download
    """

-    model_config = ConfigDict(extra="ignore")
-
-    type: Literal["cloud", "cloud-audio-only", "raw-tracks"] = Field(
+    type: Literal["cloud", "raw-tracks"] = Field(
        description="The type of recording that was generated"
    )
    recording_id: NonEmptyString = Field(
@@ -176,9 +153,8 @@ class RecordingReadyToDownloadPayload(BaseModel):
    status: Literal["finished"] = Field(
        description="The status of the given recording (always 'finished' in ready-to-download webhook, see RecordingStatus in responses.py for full API statuses)"
    )
-    max_participants: int | None = Field(
-        None,
-        description="The number of participants on the call that were recorded (optional; Daily may omit it in some webhook versions)",
+    max_participants: int = Field(
+        description="The number of participants on the call that were recorded"
    )
    duration: int = Field(description="The duration in seconds of the call")
    s3_key: NonEmptyString = Field(
@@ -204,8 +180,6 @@ class RecordingErrorPayload(BaseModel):
    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-error
    """

-    model_config = ConfigDict(extra="ignore")
-
    action: Literal["clourd-recording-err", "cloud-recording-error"] = Field(
        description="A string describing the event that was emitted (both variants are documented)"
    )
@@ -226,8 +200,6 @@ class RecordingErrorPayload(BaseModel):


 class ParticipantJoinedEvent(BaseModel):
-    model_config = ConfigDict(extra="ignore")
-
    version: NonEmptyString
    type: Literal["participant.joined"]
    id: NonEmptyString
@@ -240,8 +212,6 @@ class ParticipantJoinedEvent(BaseModel):


 class ParticipantLeftEvent(BaseModel):
-    model_config = ConfigDict(extra="ignore")
-
    version: NonEmptyString
    type: Literal["participant.left"]
    id: NonEmptyString
@@ -254,8 +224,6 @@ class ParticipantLeftEvent(BaseModel):


 class RecordingStartedEvent(BaseModel):
-    model_config = ConfigDict(extra="ignore")
-
    version: NonEmptyString
    type: Literal["recording.started"]
    id: NonEmptyString
@@ -268,8 +236,6 @@ class RecordingStartedEvent(BaseModel):


 class RecordingReadyEvent(BaseModel):
-    model_config = ConfigDict(extra="ignore")
-
    version: NonEmptyString
    type: Literal["recording.ready-to-download"]
    id: NonEmptyString
@@ -282,8 +248,6 @@ class RecordingReadyEvent(BaseModel):


 class RecordingErrorEvent(BaseModel):
-    model_config = ConfigDict(extra="ignore")
-
    version: NonEmptyString
    type: Literal["recording.error"]
    id: NonEmptyString
--- a/server/reflector/db/meetings.py
+++ b/server/reflector/db/meetings.py
@@ -1,4 +1,4 @@
-from datetime import datetime, timedelta
+from datetime import datetime
 from typing import Any, Literal

 import sqlalchemy as sa
@@ -9,7 +9,7 @@ from reflector.db import get_database, metadata
 from reflector.db.rooms import Room
 from reflector.schemas.platform import WHEREBY_PLATFORM, Platform
 from reflector.utils import generate_uuid4
-from reflector.utils.string import NonEmptyString, assert_equal
+from reflector.utils.string import assert_equal

 meetings = sa.Table(
    "meeting",
@@ -63,9 +63,6 @@ meetings = sa.Table(
        nullable=False,
        server_default=assert_equal(WHEREBY_PLATFORM, "whereby"),
    ),
-    # Daily.co composed video (Brady Bunch grid layout) - Daily.co only, not Whereby
-    sa.Column("daily_composed_video_s3_key", sa.String, nullable=True),
-    sa.Column("daily_composed_video_duration", sa.Integer, nullable=True),
    sa.Index("idx_meeting_room_id", "room_id"),
    sa.Index("idx_meeting_calendar_event", "calendar_event_id"),
 )
@@ -113,9 +110,6 @@ class Meeting(BaseModel):
    calendar_event_id: str | None = None
    calendar_metadata: dict[str, Any] | None = None
    platform: Platform = WHEREBY_PLATFORM
-    # Daily.co composed video (Brady Bunch grid) - Daily.co only
-    daily_composed_video_s3_key: str | None = None
-    daily_composed_video_duration: int | None = None


 class MeetingController:
@@ -177,90 +171,6 @@ class MeetingController:
            return None
        return Meeting(**result)

-    async def get_by_room_name_all(self, room_name: str) -> list[Meeting]:
-        """Get all meetings for a room name (not just most recent)."""
-        query = meetings.select().where(meetings.c.room_name == room_name)
-        results = await get_database().fetch_all(query)
-        return [Meeting(**r) for r in results]
-
-    async def get_by_room_name_and_time(
-        self,
-        room_name: NonEmptyString,
-        recording_start: datetime,
-        time_window_hours: int = 168,
-    ) -> Meeting | None:
-        """
-        Get meeting by room name closest to recording timestamp.
-
-        HACK ALERT: Daily.co doesn't return instanceId in recordings API response,
-        and mtgSessionId is separate from our instanceId. Time-based matching is
-        the least-bad workaround.
-
-        This handles edge case of duplicate room_name values in DB (race conditions,
-        double-clicks, etc.) by matching based on temporal proximity.
-
-        Algorithm:
-        1. Find meetings within time_window_hours of recording_start
-        2. Return meeting with start_date closest to recording_start
-        3. If tie, return first by meeting.id (deterministic)
-
-        Args:
-            room_name: Daily.co room name from recording
-            recording_start: Timezone-aware datetime from recording.start_ts
-            time_window_hours: Search window (default 168 = 1 week)
-
-        Returns:
-            Meeting closest to recording timestamp, or None if no matches
-
-        Failure modes:
-        - Multiple meetings in same room within ~5 minutes: picks closest
-        - All meetings outside time window: returns None
-        - Clock skew between Daily.co and DB: 1-week window tolerates this
-
-        Why 1 week window:
-        - Handles webhook failures (recording discovered days later)
-        - Tolerates clock skew
-        - Rejects unrelated meetings from weeks ago
-
-        """
-        # Validate timezone-aware datetime
-        if recording_start.tzinfo is None:
-            raise ValueError(
-                f"recording_start must be timezone-aware, got naive datetime: {recording_start}"
-            )
-
-        window_start = recording_start - timedelta(hours=time_window_hours)
-        window_end = recording_start + timedelta(hours=time_window_hours)
-
-        query = (
-            meetings.select()
-            .where(
-                sa.and_(
-                    meetings.c.room_name == room_name,
-                    meetings.c.start_date >= window_start,
-                    meetings.c.start_date <= window_end,
-                )
-            )
-            .order_by(meetings.c.start_date)
-        )
-
-        results = await get_database().fetch_all(query)
-        if not results:
-            return None
-
-        candidates = [Meeting(**r) for r in results]
-
-        # Find meeting with start_date closest to recording_start
-        closest = min(
-            candidates,
-            key=lambda m: (
-                abs((m.start_date - recording_start).total_seconds()),
-                m.id,  # Tie-breaker: deterministic by UUID
-            ),
-        )
-
-        return closest
-
    async def get_active(self, room: Room, current_time: datetime) -> Meeting | None:
        """
        Get latest active meeting for a room.
@@ -350,44 +260,6 @@ class MeetingController:
        query = meetings.update().where(meetings.c.id == meeting_id).values(**kwargs)
        await get_database().execute(query)

-    async def set_cloud_recording_if_missing(
-        self,
-        meeting_id: NonEmptyString,
-        s3_key: NonEmptyString,
-        duration: int,
-    ) -> bool:
-        """
-        Set cloud recording only if not already set.
-
-        Returns True if updated, False if already set.
-        Prevents webhook/polling race condition via atomic WHERE clause.
-        """
-        # Check current value before update to detect actual change
-        meeting_before = await self.get_by_id(meeting_id)
-        if not meeting_before:
-            return False
-
-        was_null = meeting_before.daily_composed_video_s3_key is None
-
-        query = (
-            meetings.update()
-            .where(
-                sa.and_(
-                    meetings.c.id == meeting_id,
-                    meetings.c.daily_composed_video_s3_key.is_(None),
-                )
-            )
-            .values(
-                daily_composed_video_s3_key=s3_key,
-                daily_composed_video_duration=duration,
-            )
-        )
-        await get_database().execute(query)
-
-        # Return True only if value was NULL before (actual update occurred)
-        # If was_null=False, the WHERE clause prevented the update
-        return was_null
-
    async def increment_num_clients(self, meeting_id: str) -> None:
        """Atomically increment participant count."""
        query = (
--- a/server/reflector/db/recordings.py
+++ b/server/reflector/db/recordings.py
@@ -7,7 +7,6 @@ from sqlalchemy import or_

 from reflector.db import get_database, metadata
 from reflector.utils import generate_uuid4
-from reflector.utils.string import NonEmptyString

 recordings = sa.Table(
    "recording",
@@ -72,19 +71,6 @@ class RecordingController:
        query = recordings.delete().where(recordings.c.id == id)
        await get_database().execute(query)

-    async def set_meeting_id(
-        self,
-        recording_id: NonEmptyString,
-        meeting_id: NonEmptyString,
-    ) -> None:
-        """Link recording to meeting."""
-        query = (
-            recordings.update()
-            .where(recordings.c.id == recording_id)
-            .values(meeting_id=meeting_id)
-        )
-        await get_database().execute(query)
-
    # no check for existence
    async def get_by_ids(self, recording_ids: list[str]) -> list[Recording]:
        if not recording_ids:
--- a/server/reflector/db/rooms.py
+++ b/server/reflector/db/rooms.py
@@ -57,6 +57,12 @@ rooms = sqlalchemy.Table(
        sqlalchemy.String,
        nullable=False,
    ),
+    sqlalchemy.Column(
+        "use_hatchet",
+        sqlalchemy.Boolean,
+        nullable=False,
+        server_default=false(),
+    ),
    sqlalchemy.Column(
        "skip_consent",
        sqlalchemy.Boolean,
@@ -91,6 +97,7 @@ class Room(BaseModel):
    ics_last_sync: datetime | None = None
    ics_last_etag: str | None = None
    platform: Platform = Field(default_factory=lambda: settings.DEFAULT_VIDEO_PLATFORM)
+    use_hatchet: bool = False
    skip_consent: bool = False


--- a/server/reflector/db/search.py
+++ b/server/reflector/db/search.py
@@ -26,7 +26,6 @@ from reflector.db.rooms import rooms
 from reflector.db.transcripts import SourceKind, TranscriptStatus, transcripts
 from reflector.db.utils import is_postgresql
 from reflector.logger import logger
-from reflector.settings import settings
 from reflector.utils.string import NonEmptyString, try_parse_non_empty_string

 DEFAULT_SEARCH_LIMIT = 20
@@ -397,7 +396,7 @@ class SearchController:
                    transcripts.c.user_id == params.user_id, rooms.c.is_shared
                )
            )
-        elif not settings.PUBLIC_MODE:
+        else:
            base_query = base_query.where(rooms.c.is_shared)
        if params.room_id:
            base_query = base_query.where(transcripts.c.room_id == params.room_id)
--- a/server/reflector/db/transcripts.py
+++ b/server/reflector/db/transcripts.py
@@ -5,10 +5,7 @@ import shutil
 from contextlib import asynccontextmanager
 from datetime import datetime, timedelta, timezone
 from pathlib import Path
-from typing import TYPE_CHECKING, Any, Literal, Sequence
-
-if TYPE_CHECKING:
-    from reflector.ws_events import TranscriptEventName
+from typing import Any, Literal, Sequence

 import sqlalchemy
 from fastapi import HTTPException
@@ -187,7 +184,7 @@ class TranscriptWaveform(BaseModel):


 class TranscriptEvent(BaseModel):
-    event: str  # Typed at call sites via ws_events.TranscriptEventName; str here for DB compat
+    event: str
    data: dict


@@ -236,9 +233,7 @@ class Transcript(BaseModel):
            dt = dt.replace(tzinfo=timezone.utc)
        return dt.isoformat()

-    def add_event(
-        self, event: "TranscriptEventName", data: BaseModel
-    ) -> TranscriptEvent:
+    def add_event(self, event: str, data: BaseModel) -> TranscriptEvent:
        ev = TranscriptEvent(event=event, data=data.model_dump())
        self.events.append(ev)
        return ev
@@ -411,7 +406,7 @@ class TranscriptController:
            query = query.where(
                or_(transcripts.c.user_id == user_id, rooms.c.is_shared)
            )
-        elif not settings.PUBLIC_MODE:
+        else:
            query = query.where(rooms.c.is_shared)

        if source_kind:
@@ -693,7 +688,7 @@ class TranscriptController:
    async def append_event(
        self,
        transcript: Transcript,
-        event: "TranscriptEventName",
+        event: str,
        data: Any,
    ) -> TranscriptEvent:
        """
--- a/server/reflector/hatchet/broadcast.py
+++ b/server/reflector/hatchet/broadcast.py
@@ -12,11 +12,10 @@ import structlog

 from reflector.db.transcripts import Transcript, TranscriptEvent, transcripts_controller
 from reflector.utils.string import NonEmptyString
-from reflector.ws_events import TranscriptEventName
 from reflector.ws_manager import get_ws_manager

 # Events that should also be sent to user room (matches Celery behavior)
-USER_ROOM_EVENTS: set[TranscriptEventName] = {"STATUS", "FINAL_TITLE", "DURATION"}
+USER_ROOM_EVENTS = {"STATUS", "FINAL_TITLE", "DURATION"}


 async def broadcast_event(
@@ -82,7 +81,8 @@ async def set_status_and_broadcast(
 async def append_event_and_broadcast(
    transcript_id: NonEmptyString,
    transcript: Transcript,
-    event_name: TranscriptEventName,
+    event_name: NonEmptyString,
+    # TODO proper dictionary event => type
    data: Any,
    logger: structlog.BoundLogger,
 ) -> TranscriptEvent:
--- a/server/reflector/hatchet/client.py
+++ b/server/reflector/hatchet/client.py
@@ -12,9 +12,7 @@ import threading

 from hatchet_sdk import ClientConfig, Hatchet
 from hatchet_sdk.clients.rest.models import V1TaskStatus
-from hatchet_sdk.rate_limit import RateLimitDuration

-from reflector.hatchet.constants import LLM_RATE_LIMIT_KEY, LLM_RATE_LIMIT_PER_SECOND
 from reflector.logger import logger
 from reflector.settings import settings

@@ -115,26 +113,3 @@ class HatchetClientManager:
        """Reset the client instance (for testing)."""
        with cls._lock:
            cls._instance = None
-
-    @classmethod
-    async def ensure_rate_limit(cls) -> None:
-        """Ensure the LLM rate limit exists in Hatchet.
-
-        Uses the Hatchet SDK rate_limits client (aio_put). See:
-        https://docs.hatchet.run/sdks/python/feature-clients/rate_limits
-        """
-        logger.info(
-            "[Hatchet] Ensuring rate limit exists",
-            rate_limit_key=LLM_RATE_LIMIT_KEY,
-            limit=LLM_RATE_LIMIT_PER_SECOND,
-        )
-        client = cls.get_client()
-        await client.rate_limits.aio_put(
-            key=LLM_RATE_LIMIT_KEY,
-            limit=LLM_RATE_LIMIT_PER_SECOND,
-            duration=RateLimitDuration.SECOND,
-        )
-        logger.info(
-            "[Hatchet] Rate limit put successfully",
-            rate_limit_key=LLM_RATE_LIMIT_KEY,
-        )
--- a/server/reflector/hatchet/constants.py
+++ b/server/reflector/hatchet/constants.py
@@ -35,9 +35,7 @@ LLM_RATE_LIMIT_PER_SECOND = 10

 # Task execution timeouts (seconds)
 TIMEOUT_SHORT = 60  # Quick operations: API calls, DB updates
-TIMEOUT_MEDIUM = (
-    300  # Single LLM calls, waveform generation (5m for slow LLM responses)
-)
+TIMEOUT_MEDIUM = 120  # Single LLM calls, waveform generation
 TIMEOUT_LONG = 180  # Action items (larger context LLM)
-TIMEOUT_AUDIO = 720  # Audio processing: padding, mixdown
+TIMEOUT_AUDIO = 300  # Audio processing: padding, mixdown
 TIMEOUT_HEAVY = 600  # Transcription, fan-out LLM tasks
--- a/server/reflector/hatchet/run_workers.py
+++ b/server/reflector/hatchet/run_workers.py
@@ -0,0 +1,77 @@
+"""
+Run Hatchet workers for the multitrack pipeline.
+Runs as a separate process, just like Celery workers.
+
+Usage:
+    uv run -m reflector.hatchet.run_workers
+
+    # Or via docker:
+    docker compose exec server uv run -m reflector.hatchet.run_workers
+"""
+
+import signal
+import sys
+
+from hatchet_sdk.rate_limit import RateLimitDuration
+
+from reflector.hatchet.constants import LLM_RATE_LIMIT_KEY, LLM_RATE_LIMIT_PER_SECOND
+from reflector.logger import logger
+from reflector.settings import settings
+
+
+def main() -> None:
+    """Start Hatchet worker polling."""
+    if not settings.HATCHET_ENABLED:
+        logger.error("HATCHET_ENABLED is False, not starting workers")
+        sys.exit(1)
+
+    if not settings.HATCHET_CLIENT_TOKEN:
+        logger.error("HATCHET_CLIENT_TOKEN is not set")
+        sys.exit(1)
+
+    logger.info(
+        "Starting Hatchet workers",
+        debug=settings.HATCHET_DEBUG,
+    )
+
+    # Import here (not top-level) - workflow modules call HatchetClientManager.get_client()
+    # at module level because Hatchet SDK decorators (@workflow.task) bind at import time.
+    # Can't use lazy init: decorators need the client object when function is defined.
+    from reflector.hatchet.client import HatchetClientManager  # noqa: PLC0415
+    from reflector.hatchet.workflows import (  # noqa: PLC0415
+        daily_multitrack_pipeline,
+        subject_workflow,
+        topic_chunk_workflow,
+        track_workflow,
+    )
+
+    hatchet = HatchetClientManager.get_client()
+
+    hatchet.rate_limits.put(
+        LLM_RATE_LIMIT_KEY, LLM_RATE_LIMIT_PER_SECOND, RateLimitDuration.SECOND
+    )
+
+    worker = hatchet.worker(
+        "reflector-pipeline-worker",
+        workflows=[
+            daily_multitrack_pipeline,
+            subject_workflow,
+            topic_chunk_workflow,
+            track_workflow,
+        ],
+    )
+
+    def shutdown_handler(signum: int, frame) -> None:
+        logger.info("Received shutdown signal, stopping workers...")
+        # Worker cleanup happens automatically on exit
+        sys.exit(0)
+
+    signal.signal(signal.SIGINT, shutdown_handler)
+    signal.signal(signal.SIGTERM, shutdown_handler)
+
+    logger.info("Starting Hatchet worker polling...")
+    worker.start()
+
+
+if __name__ == "__main__":
+    main()
--- a/server/reflector/hatchet/run_workers_cpu.py
+++ b/server/reflector/hatchet/run_workers_cpu.py
@@ -1,43 +0,0 @@
-"""
-CPU-heavy worker pool for audio processing tasks.
-Handles ONLY: mixdown_tracks
-
-Configuration:
- slots=1: Only mixdown (already serialized globally with max_runs=1)
- Worker affinity: pool=cpu-heavy
-"""
-
-from reflector.hatchet.client import HatchetClientManager
-from reflector.hatchet.workflows.daily_multitrack_pipeline import (
-    daily_multitrack_pipeline,
-)
-from reflector.logger import logger
-
-
-def main():
-    hatchet = HatchetClientManager.get_client()
-
-    logger.info(
-        "Starting Hatchet CPU worker pool (mixdown only)",
-        worker_name="cpu-worker-pool",
-        slots=1,
-        labels={"pool": "cpu-heavy"},
-    )
-
-    cpu_worker = hatchet.worker(
-        "cpu-worker-pool",
-        slots=1,  # Only 1 mixdown at a time (already serialized globally)
-        labels={
-            "pool": "cpu-heavy",
-        },
-        workflows=[daily_multitrack_pipeline],
-    )
-
-    try:
-        cpu_worker.start()
-    except KeyboardInterrupt:
-        logger.info("Received shutdown signal, stopping CPU workers...")
-
-
-if __name__ == "__main__":
-    main()
--- a/server/reflector/hatchet/run_workers_llm.py
+++ b/server/reflector/hatchet/run_workers_llm.py
@@ -1,62 +0,0 @@
-"""
-LLM/I/O worker pool for all non-CPU tasks.
-Handles: all tasks except mixdown_tracks (transcription, LLM inference, orchestration)
-"""
-
-import asyncio
-
-from reflector.hatchet.client import HatchetClientManager
-from reflector.hatchet.workflows.daily_multitrack_pipeline import (
-    daily_multitrack_pipeline,
-)
-from reflector.hatchet.workflows.subject_processing import subject_workflow
-from reflector.hatchet.workflows.topic_chunk_processing import topic_chunk_workflow
-from reflector.hatchet.workflows.track_processing import track_workflow
-from reflector.logger import logger
-
-SLOTS = 10
-WORKER_NAME = "llm-worker-pool"
-POOL = "llm-io"
-
-
-def main():
-    hatchet = HatchetClientManager.get_client()
-
-    try:
-        asyncio.run(HatchetClientManager.ensure_rate_limit())
-    except Exception as e:
-        logger.warning(
-            "[Hatchet] Rate limit initialization failed, but continuing. "
-            "If workflows fail to register, rate limits may need to be created manually.",
-            error=str(e),
-        )
-
-    logger.info(
-        "Starting Hatchet LLM worker pool (all tasks except mixdown)",
-        worker_name=WORKER_NAME,
-        slots=SLOTS,
-        labels={"pool": POOL},
-    )
-
-    llm_worker = hatchet.worker(
-        WORKER_NAME,
-        slots=SLOTS,  # not all slots are probably used
-        labels={
-            "pool": POOL,
-        },
-        workflows=[
-            daily_multitrack_pipeline,
-            topic_chunk_workflow,
-            subject_workflow,
-            track_workflow,
-        ],
-    )
-
-    try:
-        llm_worker.start()
-    except KeyboardInterrupt:
-        logger.info("Received shutdown signal, stopping LLM workers...")
-
-
-if __name__ == "__main__":
-    main()
--- a/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
+++ b/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
@@ -23,12 +23,7 @@ from pathlib import Path
 from typing import Any, Callable, Coroutine, Protocol, TypeVar

 import httpx
-from hatchet_sdk import (
-    ConcurrencyExpression,
-    ConcurrencyLimitStrategy,
-    Context,
-)
-from hatchet_sdk.labels import DesiredWorkerLabel
+from hatchet_sdk import Context
 from pydantic import BaseModel

 from reflector.dailyco_api.client import DailyApiClient
@@ -171,13 +166,11 @@ async def set_workflow_error_status(transcript_id: NonEmptyString) -> bool:

 def _spawn_storage():
    """Create fresh storage instance."""
-    # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
    return AwsStorage(
        aws_bucket_name=settings.TRANSCRIPT_STORAGE_AWS_BUCKET_NAME,
        aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
        aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
        aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
-        aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
    )


@@ -324,7 +317,6 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
    mtg_session_id = recording.mtg_session_id
    async with fresh_db_connection():
        from reflector.db.transcripts import (  # noqa: PLC0415
-            TranscriptDuration,
            TranscriptParticipant,
            transcripts_controller,
        )
@@ -333,26 +325,15 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
        if not transcript:
            raise ValueError(f"Transcript {input.transcript_id} not found")
        # Note: title NOT cleared - preserves existing titles
-        # Duration from Daily API (seconds -> milliseconds) - master source
-        duration_ms = recording.duration * 1000 if recording.duration else 0
        await transcripts_controller.update(
            transcript,
            {
                "events": [],
                "topics": [],
                "participants": [],
-                "duration": duration_ms,
            },
        )

-        await append_event_and_broadcast(
-            input.transcript_id,
-            transcript,
-            "DURATION",
-            TranscriptDuration(duration=duration_ms),
-            logger=logger,
-        )
-
        mtg_session_id = assert_non_none_and_non_empty(
            mtg_session_id, "mtg_session_id is required"
        )
@@ -486,20 +467,6 @@ async def process_tracks(input: PipelineInput, ctx: Context) -> ProcessTracksRes
    parents=[process_tracks],
    execution_timeout=timedelta(seconds=TIMEOUT_AUDIO),
    retries=3,
-    desired_worker_labels={
-        "pool": DesiredWorkerLabel(
-            value="cpu-heavy",
-            required=True,
-            weight=100,
-        ),
-    },
-    concurrency=[
-        ConcurrencyExpression(
-            expression="'mixdown-global'",
-            max_runs=1,  # serialize mixdown to prevent resource contention
-            limit_strategy=ConcurrencyLimitStrategy.GROUP_ROUND_ROBIN,  # Queue
-        )
-    ],
 )
@with_error_handling(TaskName.MIXDOWN_TRACKS)
 async def mixdown_tracks(input: PipelineInput, ctx: Context) -> MixdownResult:
@@ -1109,7 +1076,7 @@ async def identify_action_items(


@daily_multitrack_pipeline.task(
-    parents=[process_tracks, generate_title, generate_recap, identify_action_items],
+    parents=[generate_waveform, generate_title, generate_recap, identify_action_items],
    execution_timeout=timedelta(seconds=TIMEOUT_SHORT),
    retries=3,
 )
@@ -1122,8 +1089,12 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
    """
    ctx.log("finalize: saving transcript and setting status to 'ended'")

+    mixdown_result = ctx.task_output(mixdown_tracks)
    track_result = ctx.task_output(process_tracks)

+    duration = mixdown_result.duration
+    all_words = track_result.all_words
+
    # Cleanup temporary padded S3 files (deferred until finalize for semantic parity with Celery)
    created_padded_files = track_result.created_padded_files
    if created_padded_files:
@@ -1143,6 +1114,7 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:

    async with fresh_db_connection():
        from reflector.db.transcripts import (  # noqa: PLC0415
+            TranscriptDuration,
            TranscriptText,
            transcripts_controller,
        )
@@ -1151,26 +1123,34 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
        if transcript is None:
            raise ValueError(f"Transcript {input.transcript_id} not found in database")

+        merged_transcript = TranscriptType(words=all_words, translation=None)
+
        await append_event_and_broadcast(
            input.transcript_id,
            transcript,
            "TRANSCRIPT",
            TranscriptText(
-                text="",
-                translation=None,
+                text=merged_transcript.text,
+                translation=merged_transcript.translation,
            ),
            logger=logger,
        )

-        # Clear workflow_run_id (workflow completed successfully)
-        # Note: title/long_summary/short_summary/duration already saved by their callbacks
+        # Save duration and clear workflow_run_id (workflow completed successfully)
+        # Note: title/long_summary/short_summary already saved by their callbacks
        await transcripts_controller.update(
            transcript,
            {
+                "duration": duration,
                "workflow_run_id": None,  # Clear on success - no need to resume
            },
        )

+        duration_data = TranscriptDuration(duration=duration)
+        await append_event_and_broadcast(
+            input.transcript_id, transcript, "DURATION", duration_data, logger=logger
+        )
+
        await set_status_and_broadcast(input.transcript_id, "ended", logger=logger)

        ctx.log(
@@ -1348,34 +1328,14 @@ async def send_webhook(input: PipelineInput, ctx: Context) -> WebhookResult:
            f"participants={len(payload.transcript.participants)})"
        )

-        try:
-            response = await send_webhook_request(
-                url=room.webhook_url,
-                payload=payload,
-                event_type="transcript.completed",
-                webhook_secret=room.webhook_secret,
-                timeout=30.0,
-            )
+        response = await send_webhook_request(
+            url=room.webhook_url,
+            payload=payload,
+            event_type="transcript.completed",
+            webhook_secret=room.webhook_secret,
+            timeout=30.0,
+        )

-            ctx.log(f"send_webhook complete: status_code={response.status_code}")
-            return WebhookResult(webhook_sent=True, response_code=response.status_code)
+        ctx.log(f"send_webhook complete: status_code={response.status_code}")

-        except httpx.HTTPStatusError as e:
-            ctx.log(
-                f"send_webhook failed (HTTP {e.response.status_code}), continuing anyway"
-            )
-            return WebhookResult(
-                webhook_sent=False, response_code=e.response.status_code
-            )
-
-        except httpx.ConnectError as e:
-            ctx.log(f"send_webhook failed (connection error), continuing anyway: {e}")
-            return WebhookResult(webhook_sent=False)
-
-        except httpx.TimeoutException as e:
-            ctx.log(f"send_webhook failed (timeout), continuing anyway: {e}")
-            return WebhookResult(webhook_sent=False)
-
-        except Exception as e:
-            ctx.log(f"send_webhook unexpected error, continuing anyway: {e}")
-            return WebhookResult(webhook_sent=False)
+        return WebhookResult(webhook_sent=True, response_code=response.status_code)
--- a/server/reflector/hatchet/workflows/padding_workflow.py
+++ b/server/reflector/hatchet/workflows/padding_workflow.py
@@ -1,167 +0,0 @@
-"""
-Hatchet child workflow: PaddingWorkflow
-Handles individual audio track padding via Modal.com backend.
-"""
-
-from datetime import timedelta
-
-import av
-from hatchet_sdk import Context
-from pydantic import BaseModel
-
-from reflector.hatchet.client import HatchetClientManager
-from reflector.hatchet.constants import TIMEOUT_AUDIO
-from reflector.hatchet.workflows.models import PadTrackResult
-from reflector.logger import logger
-from reflector.utils.audio_constants import PRESIGNED_URL_EXPIRATION_SECONDS
-from reflector.utils.audio_padding import extract_stream_start_time_from_container
-
-
-class PaddingInput(BaseModel):
-    """Input for individual track padding."""
-
-    track_index: int
-    s3_key: str
-    bucket_name: str
-    transcript_id: str
-
-
-hatchet = HatchetClientManager.get_client()
-
-padding_workflow = hatchet.workflow(
-    name="PaddingWorkflow", input_validator=PaddingInput
-)
-
-
-@padding_workflow.task(execution_timeout=timedelta(seconds=TIMEOUT_AUDIO), retries=3)
-async def pad_track(input: PaddingInput, ctx: Context) -> PadTrackResult:
-    """Pad audio track with silence based on WebM container start_time."""
-    ctx.log(f"pad_track: track {input.track_index}, s3_key={input.s3_key}")
-    logger.info(
-        "[Hatchet] pad_track",
-        track_index=input.track_index,
-        s3_key=input.s3_key,
-        transcript_id=input.transcript_id,
-    )
-
-    try:
-        # Create fresh storage instance to avoid aioboto3 fork issues
-        from reflector.settings import settings  # noqa: PLC0415
-        from reflector.storage.storage_aws import AwsStorage  # noqa: PLC0415
-
-        # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
-        storage = AwsStorage(
-            aws_bucket_name=settings.TRANSCRIPT_STORAGE_AWS_BUCKET_NAME,
-            aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
-            aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
-            aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
-            aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
-        )
-
-        source_url = await storage.get_file_url(
-            input.s3_key,
-            operation="get_object",
-            expires_in=PRESIGNED_URL_EXPIRATION_SECONDS,
-            bucket=input.bucket_name,
-        )
-
-        # Extract start_time to determine if padding needed
-        with av.open(source_url) as in_container:
-            if in_container.duration:
-                try:
-                    duration = timedelta(seconds=in_container.duration // 1_000_000)
-                    ctx.log(
-                        f"pad_track: track {input.track_index}, duration={duration}"
-                    )
-                except (ValueError, TypeError, OverflowError) as e:
-                    ctx.log(
-                        f"pad_track: track {input.track_index}, duration error: {str(e)}"
-                    )
-
-            start_time_seconds = extract_stream_start_time_from_container(
-                in_container, input.track_index, logger=logger
-            )
-
-        if start_time_seconds <= 0:
-            logger.info(
-                f"Track {input.track_index} requires no padding",
-                track_index=input.track_index,
-            )
-            return PadTrackResult(
-                padded_key=input.s3_key,
-                bucket_name=input.bucket_name,
-                size=0,
-                track_index=input.track_index,
-            )
-
-        storage_path = f"file_pipeline_hatchet/{input.transcript_id}/tracks/padded_{input.track_index}.webm"
-
-        # Presign PUT URL for output (Modal will upload directly)
-        output_url = await storage.get_file_url(
-            storage_path,
-            operation="put_object",
-            expires_in=PRESIGNED_URL_EXPIRATION_SECONDS,
-        )
-
-        import httpx  # noqa: PLC0415
-
-        from reflector.processors.audio_padding_modal import (  # noqa: PLC0415
-            AudioPaddingModalProcessor,
-        )
-
-        try:
-            processor = AudioPaddingModalProcessor()
-            result = await processor.pad_track(
-                track_url=source_url,
-                output_url=output_url,
-                start_time_seconds=start_time_seconds,
-                track_index=input.track_index,
-            )
-            file_size = result.size
-
-            ctx.log(f"pad_track: Modal returned size={file_size}")
-        except httpx.HTTPStatusError as e:
-            error_detail = e.response.text if hasattr(e.response, "text") else str(e)
-            logger.error(
-                "[Hatchet] Modal padding HTTP error",
-                transcript_id=input.transcript_id,
-                track_index=input.track_index,
-                status_code=e.response.status_code if hasattr(e, "response") else None,
-                error=error_detail,
-                exc_info=True,
-            )
-            raise Exception(
-                f"Modal padding failed: HTTP {e.response.status_code}"
-            ) from e
-        except httpx.TimeoutException as e:
-            logger.error(
-                "[Hatchet] Modal padding timeout",
-                transcript_id=input.transcript_id,
-                track_index=input.track_index,
-                error=str(e),
-                exc_info=True,
-            )
-            raise Exception("Modal padding timeout") from e
-
-        logger.info(
-            "[Hatchet] pad_track complete",
-            track_index=input.track_index,
-            padded_key=storage_path,
-        )
-
-        return PadTrackResult(
-            padded_key=storage_path,
-            bucket_name=None,  # None = use default transcript storage bucket
-            size=file_size,
-            track_index=input.track_index,
-        )
-
-    except Exception as e:
-        logger.error(
-            "[Hatchet] pad_track failed",
-            transcript_id=input.transcript_id,
-            track_index=input.track_index,
-            error=str(e),
-            exc_info=True,
-        )
-        raise
--- a/server/reflector/hatchet/workflows/topic_chunk_processing.py
+++ b/server/reflector/hatchet/workflows/topic_chunk_processing.py
@@ -7,11 +7,7 @@ Spawned dynamically by detect_topics via aio_run_many() for parallel processing.

 from datetime import timedelta

-from hatchet_sdk import (
-    ConcurrencyExpression,
-    ConcurrencyLimitStrategy,
-    Context,
-)
+from hatchet_sdk import ConcurrencyExpression, ConcurrencyLimitStrategy, Context
 from hatchet_sdk.rate_limit import RateLimit
 from pydantic import BaseModel

@@ -38,13 +34,11 @@ hatchet = HatchetClientManager.get_client()
 topic_chunk_workflow = hatchet.workflow(
    name="TopicChunkProcessing",
    input_validator=TopicChunkInput,
-    concurrency=[
-        ConcurrencyExpression(
-            expression="'global'",  # constant string = global limit across all runs
-            max_runs=20,
-            limit_strategy=ConcurrencyLimitStrategy.GROUP_ROUND_ROBIN,
-        )
-    ],
+    concurrency=ConcurrencyExpression(
+        expression="'global'",  # constant string = global limit across all runs
+        max_runs=20,
+        limit_strategy=ConcurrencyLimitStrategy.GROUP_ROUND_ROBIN,
+    ),
 )


--- a/server/reflector/hatchet/workflows/track_processing.py
+++ b/server/reflector/hatchet/workflows/track_processing.py
@@ -14,7 +14,9 @@ Hatchet workers run in forked processes; fresh imports per task ensure
 storage/DB connections are not shared across forks.
 """

+import tempfile
 from datetime import timedelta
+from pathlib import Path

 import av
 from hatchet_sdk import Context
@@ -25,7 +27,10 @@ from reflector.hatchet.constants import TIMEOUT_AUDIO, TIMEOUT_HEAVY
 from reflector.hatchet.workflows.models import PadTrackResult, TranscribeTrackResult
 from reflector.logger import logger
 from reflector.utils.audio_constants import PRESIGNED_URL_EXPIRATION_SECONDS
-from reflector.utils.audio_padding import extract_stream_start_time_from_container
+from reflector.utils.audio_padding import (
+    apply_audio_padding_to_file,
+    extract_stream_start_time_from_container,
+)


 class TrackInput(BaseModel):
@@ -60,7 +65,6 @@ async def pad_track(input: TrackInput, ctx: Context) -> PadTrackResult:

    try:
        # Create fresh storage instance to avoid aioboto3 fork issues
-        # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
        from reflector.settings import settings  # noqa: PLC0415
        from reflector.storage.storage_aws import AwsStorage  # noqa: PLC0415

@@ -69,7 +73,6 @@ async def pad_track(input: TrackInput, ctx: Context) -> PadTrackResult:
            aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
            aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
-            aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
        )

        source_url = await storage.get_file_url(
@@ -80,44 +83,63 @@ async def pad_track(input: TrackInput, ctx: Context) -> PadTrackResult:
        )

        with av.open(source_url) as in_container:
+            if in_container.duration:
+                try:
+                    duration = timedelta(seconds=in_container.duration // 1_000_000)
+                    ctx.log(
+                        f"pad_track: track {input.track_index}, duration={duration}"
+                    )
+                except Exception:
+                    ctx.log(f"pad_track: track {input.track_index}, duration=ERROR")
+
            start_time_seconds = extract_stream_start_time_from_container(
                in_container, input.track_index, logger=logger
            )

-        # If no padding needed, return original S3 key
-        if start_time_seconds <= 0:
-            logger.info(
-                f"Track {input.track_index} requires no padding",
-                track_index=input.track_index,
-            )
-            return PadTrackResult(
-                padded_key=input.s3_key,
-                bucket_name=input.bucket_name,
-                size=0,
-                track_index=input.track_index,
-            )
+            # If no padding needed, return original S3 key
+            if start_time_seconds <= 0:
+                logger.info(
+                    f"Track {input.track_index} requires no padding",
+                    track_index=input.track_index,
+                )
+                return PadTrackResult(
+                    padded_key=input.s3_key,
+                    bucket_name=input.bucket_name,
+                    size=0,
+                    track_index=input.track_index,
+                )

-        storage_path = f"file_pipeline_hatchet/{input.transcript_id}/tracks/padded_{input.track_index}.webm"
+            with tempfile.NamedTemporaryFile(suffix=".webm", delete=False) as temp_file:
+                temp_path = temp_file.name

-        # Presign PUT URL for output (Modal uploads directly)
-        output_url = await storage.get_file_url(
-            storage_path,
-            operation="put_object",
-            expires_in=PRESIGNED_URL_EXPIRATION_SECONDS,
-        )
+            try:
+                apply_audio_padding_to_file(
+                    in_container,
+                    temp_path,
+                    start_time_seconds,
+                    input.track_index,
+                    logger=logger,
+                )

-        from reflector.processors.audio_padding_modal import (  # noqa: PLC0415
-            AudioPaddingModalProcessor,
-        )
+                file_size = Path(temp_path).stat().st_size
+                storage_path = f"file_pipeline_hatchet/{input.transcript_id}/tracks/padded_{input.track_index}.webm"

-        processor = AudioPaddingModalProcessor()
-        result = await processor.pad_track(
-            track_url=source_url,
-            output_url=output_url,
-            start_time_seconds=start_time_seconds,
-            track_index=input.track_index,
-        )
-        file_size = result.size
+                logger.info(
+                    f"About to upload padded track",
+                    key=storage_path,
+                    size=file_size,
+                )
+
+                with open(temp_path, "rb") as padded_file:
+                    await storage.put_file(storage_path, padded_file)
+
+                logger.info(
+                    f"Uploaded padded track to S3",
+                    key=storage_path,
+                    size=file_size,
+                )
+            finally:
+                Path(temp_path).unlink(missing_ok=True)

        ctx.log(f"pad_track complete: track {input.track_index} -> {storage_path}")
        logger.info(
@@ -161,7 +183,6 @@ async def transcribe_track(input: TrackInput, ctx: Context) -> TranscribeTrackRe
            raise ValueError("Missing padded_key from pad_track")

        # Presign URL on demand (avoids stale URLs on workflow replay)
-        # TODO: replace direct AwsStorage construction with get_transcripts_storage() factory
        from reflector.settings import settings  # noqa: PLC0415
        from reflector.storage.storage_aws import AwsStorage  # noqa: PLC0415

@@ -170,7 +191,6 @@ async def transcribe_track(input: TrackInput, ctx: Context) -> TranscribeTrackRe
            aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
            aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
            aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
-            aws_endpoint_url=settings.TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL,
        )

        audio_url = await storage.get_file_url(
--- a/server/reflector/llm.py
+++ b/server/reflector/llm.py
@@ -144,18 +144,7 @@ class StructuredOutputWorkflow(Workflow, Generic[OutputT]):
        )

        # Network retries handled by OpenAILike (max_retries=3)
-        # response_format enables grammar-based constrained decoding on backends
-        # that support it (DMR/llama.cpp, vLLM, Ollama, OpenAI).
-        response = await Settings.llm.acomplete(
-            json_prompt,
-            response_format={
-                "type": "json_schema",
-                "json_schema": {
-                    "name": self.output_cls.__name__,
-                    "schema": self.output_cls.model_json_schema(),
-                },
-            },
-        )
+        response = await Settings.llm.acomplete(json_prompt)
        return ExtractionDone(output=response.text)

    @step
--- a/server/reflector/pipelines/main_live_pipeline.py
+++ b/server/reflector/pipelines/main_live_pipeline.py
@@ -62,8 +62,6 @@ from reflector.processors.types import (
 from reflector.processors.types import Transcript as TranscriptProcessorType
 from reflector.settings import settings
 from reflector.storage import get_transcripts_storage
-from reflector.views.transcripts import GetTranscriptTopic
-from reflector.ws_events import TranscriptEventName
 from reflector.ws_manager import WebsocketManager, get_ws_manager
 from reflector.zulip import (
    get_zulip_message,
@@ -91,11 +89,7 @@ def broadcast_to_sockets(func):
        if transcript and transcript.user_id:
            # Emit only relevant events to the user room to avoid noisy updates.
            # Allowed: STATUS, FINAL_TITLE, DURATION. All are prefixed with TRANSCRIPT_
-            allowed_user_events: set[TranscriptEventName] = {
-                "STATUS",
-                "FINAL_TITLE",
-                "DURATION",
-            }
+            allowed_user_events = {"STATUS", "FINAL_TITLE", "DURATION"}
            if resp.event in allowed_user_events:
                await self.ws_manager.send_json(
                    room_id=f"user:{transcript.user_id}",
@@ -250,14 +244,13 @@ class PipelineMainBase(PipelineRunner[PipelineMessage], Generic[PipelineMessage]
        )
        if isinstance(data, TitleSummaryWithIdProcessorType):
            topic.id = data.id
-        get_topic = GetTranscriptTopic.from_transcript_topic(topic)
        async with self.transaction():
            transcript = await self.get_transcript()
            await transcripts_controller.upsert_topic(transcript, topic)
            return await transcripts_controller.append_event(
                transcript=transcript,
                event="TOPIC",
-                data=get_topic,
+                data=topic,
            )

    @broadcast_to_sockets
--- a/server/reflector/processors/audio_diarization_pyannote.py
+++ b/server/reflector/processors/audio_diarization_pyannote.py
@@ -0,0 +1,74 @@
+import os
+
+import torch
+import torchaudio
+from pyannote.audio import Pipeline
+
+from reflector.processors.audio_diarization import AudioDiarizationProcessor
+from reflector.processors.audio_diarization_auto import AudioDiarizationAutoProcessor
+from reflector.processors.types import AudioDiarizationInput, DiarizationSegment
+
+
+class AudioDiarizationPyannoteProcessor(AudioDiarizationProcessor):
+    """Local diarization processor using pyannote.audio library"""
+
+    def __init__(
+        self,
+        model_name: str = "pyannote/speaker-diarization-3.1",
+        pyannote_auth_token: str | None = None,
+        device: str | None = None,
+        **kwargs,
+    ):
+        super().__init__(**kwargs)
+        self.model_name = model_name
+        self.auth_token = pyannote_auth_token or os.environ.get("HF_TOKEN")
+        self.device = device
+
+        if device is None:
+            self.device = "cuda" if torch.cuda.is_available() else "cpu"
+
+        self.logger.info(f"Loading pyannote diarization model: {self.model_name}")
+        self.diarization_pipeline = Pipeline.from_pretrained(
+            self.model_name, use_auth_token=self.auth_token
+        )
+        self.diarization_pipeline.to(torch.device(self.device))
+        self.logger.info(f"Diarization model loaded on device: {self.device}")
+
+    async def _diarize(self, data: AudioDiarizationInput) -> list[DiarizationSegment]:
+        try:
+            # Load audio file (audio_url is assumed to be a local file path)
+            self.logger.info(f"Loading local audio file: {data.audio_url}")
+            waveform, sample_rate = torchaudio.load(data.audio_url)
+            audio_input = {"waveform": waveform, "sample_rate": sample_rate}
+            self.logger.info("Running speaker diarization")
+            diarization = self.diarization_pipeline(audio_input)
+
+            # Convert pyannote diarization output to our format
+            segments = []
+            for segment, _, speaker in diarization.itertracks(yield_label=True):
+                # Extract speaker number from label (e.g., "SPEAKER_00" -> 0)
+                speaker_id = 0
+                if speaker.startswith("SPEAKER_"):
+                    try:
+                        speaker_id = int(speaker.split("_")[-1])
+                    except (ValueError, IndexError):
+                        # Fallback to hash-based ID if parsing fails
+                        speaker_id = hash(speaker) % 1000
+
+                segments.append(
+                    {
+                        "start": round(segment.start, 3),
+                        "end": round(segment.end, 3),
+                        "speaker": speaker_id,
+                    }
+                )
+
+            self.logger.info(f"Diarization completed with {len(segments)} segments")
+            return segments
+
+        except Exception as e:
+            self.logger.exception(f"Diarization failed: {e}")
+            raise
+
+
+AudioDiarizationAutoProcessor.register("pyannote", AudioDiarizationPyannoteProcessor)
--- a/server/reflector/processors/audio_padding_modal.py
+++ b/server/reflector/processors/audio_padding_modal.py
@@ -1,113 +0,0 @@
-"""
-Modal.com backend for audio padding.
-"""
-
-import asyncio
-import os
-
-import httpx
-from pydantic import BaseModel
-
-from reflector.hatchet.constants import TIMEOUT_AUDIO
-from reflector.logger import logger
-
-
-class PaddingResponse(BaseModel):
-    size: int
-    cancelled: bool = False
-
-
-class AudioPaddingModalProcessor:
-    """Audio padding processor using Modal.com CPU backend via HTTP."""
-
-    def __init__(
-        self, padding_url: str | None = None, modal_api_key: str | None = None
-    ):
-        self.padding_url = padding_url or os.getenv("PADDING_URL")
-        if not self.padding_url:
-            raise ValueError(
-                "PADDING_URL required to use AudioPaddingModalProcessor. "
-                "Set PADDING_URL environment variable or pass padding_url parameter."
-            )
-
-        self.modal_api_key = modal_api_key or os.getenv("MODAL_API_KEY")
-
-    async def pad_track(
-        self,
-        track_url: str,
-        output_url: str,
-        start_time_seconds: float,
-        track_index: int,
-    ) -> PaddingResponse:
-        """Pad audio track with silence via Modal backend.
-
-        Args:
-            track_url: Presigned GET URL for source audio track
-            output_url: Presigned PUT URL for output WebM
-            start_time_seconds: Amount of silence to prepend
-            track_index: Track index for logging
-        """
-        if not track_url:
-            raise ValueError("track_url cannot be empty")
-        if start_time_seconds <= 0:
-            raise ValueError(
-                f"start_time_seconds must be positive, got {start_time_seconds}"
-            )
-
-        log = logger.bind(track_index=track_index, padding_seconds=start_time_seconds)
-        log.info("Sending Modal padding HTTP request")
-
-        url = f"{self.padding_url}/pad"
-
-        headers = {}
-        if self.modal_api_key:
-            headers["Authorization"] = f"Bearer {self.modal_api_key}"
-
-        try:
-            async with httpx.AsyncClient(timeout=TIMEOUT_AUDIO) as client:
-                response = await client.post(
-                    url,
-                    headers=headers,
-                    json={
-                        "track_url": track_url,
-                        "output_url": output_url,
-                        "start_time_seconds": start_time_seconds,
-                        "track_index": track_index,
-                    },
-                    follow_redirects=True,
-                )
-
-                if response.status_code != 200:
-                    error_body = response.text
-                    log.error(
-                        "Modal padding API error",
-                        status_code=response.status_code,
-                        error_body=error_body,
-                    )
-
-                response.raise_for_status()
-                result = response.json()
-
-            # Check if work was cancelled
-            if result.get("cancelled"):
-                log.warning("Modal padding was cancelled by disconnect detection")
-                raise asyncio.CancelledError(
-                    "Padding cancelled due to client disconnect"
-                )
-
-            log.info("Modal padding complete", size=result["size"])
-            return PaddingResponse(**result)
-        except asyncio.CancelledError:
-            log.warning(
-                "Modal padding cancelled (Hatchet timeout, disconnect detected on Modal side)"
-            )
-            raise
-        except httpx.TimeoutException as e:
-            log.error("Modal padding timeout", error=str(e), exc_info=True)
-            raise Exception(f"Modal padding timeout: {e}") from e
-        except httpx.HTTPStatusError as e:
-            log.error("Modal padding HTTP error", error=str(e), exc_info=True)
-            raise Exception(f"Modal padding HTTP error: {e}") from e
-        except Exception as e:
-            log.error("Modal padding unexpected error", error=str(e), exc_info=True)
-            raise
--- a/server/reflector/services/ics_sync.py
+++ b/server/reflector/services/ics_sync.py
@@ -319,6 +319,21 @@ class ICSSyncService:
            calendar = self.fetch_service.parse_ics(ics_content)

            content_hash = hashlib.md5(ics_content.encode()).hexdigest()
+            if room.ics_last_etag == content_hash:
+                logger.info("No changes in ICS for room", room_id=room.id)
+                room_url = f"{settings.UI_BASE_URL}/{room.name}"
+                events, total_events = self.fetch_service.extract_room_events(
+                    calendar, room.name, room_url
+                )
+                return {
+                    "status": SyncStatus.UNCHANGED,
+                    "hash": content_hash,
+                    "events_found": len(events),
+                    "total_events": total_events,
+                    "events_created": 0,
+                    "events_updated": 0,
+                    "events_deleted": 0,
+                }

            # Extract matching events
            room_url = f"{settings.UI_BASE_URL}/{room.name}"
@@ -356,44 +371,6 @@ class ICSSyncService:
        time_since_sync = datetime.now(timezone.utc) - room.ics_last_sync
        return time_since_sync.total_seconds() >= room.ics_fetch_interval

-    def _event_data_changed(self, existing: CalendarEvent, new_data: EventData) -> bool:
-        """Check if event data has changed by comparing relevant fields.
-
-        IMPORTANT: When adding fields to CalendarEvent/EventData, update this method
-        and the _COMPARED_FIELDS set below for runtime validation.
-        """
-        # Fields that come from ICS and should trigger updates when changed
-        _COMPARED_FIELDS = {
-            "title",
-            "description",
-            "start_time",
-            "end_time",
-            "location",
-            "attendees",
-            "ics_raw_data",
-        }
-
-        # Runtime exhaustiveness check: ensure we're comparing all EventData fields
-        event_data_fields = set(EventData.__annotations__.keys()) - {"ics_uid"}
-        if event_data_fields != _COMPARED_FIELDS:
-            missing = event_data_fields - _COMPARED_FIELDS
-            extra = _COMPARED_FIELDS - event_data_fields
-            raise RuntimeError(
-                f"_event_data_changed() field mismatch: "
-                f"missing={missing}, extra={extra}. "
-                f"Update the comparison logic when adding/removing fields."
-            )
-
-        return (
-            existing.title != new_data["title"]
-            or existing.description != new_data["description"]
-            or existing.start_time != new_data["start_time"]
-            or existing.end_time != new_data["end_time"]
-            or existing.location != new_data["location"]
-            or existing.attendees != new_data["attendees"]
-            or existing.ics_raw_data != new_data["ics_raw_data"]
-        )
-
    async def _sync_events_to_database(
        self, room_id: str, events: list[EventData]
    ) -> SyncStats:
@@ -409,14 +386,11 @@ class ICSSyncService:
            )

            if existing:
-                # Only count as updated if data actually changed
-                if self._event_data_changed(existing, event_data):
-                    updated += 1
-                    await calendar_events_controller.upsert(calendar_event)
+                updated += 1
            else:
                created += 1
-                await calendar_events_controller.upsert(calendar_event)

+            await calendar_events_controller.upsert(calendar_event)
            current_ics_uids.append(event_data["ics_uid"])

        # Soft delete events that are no longer in calendar
--- a/server/reflector/services/transcript_process.py
+++ b/server/reflector/services/transcript_process.py
@@ -11,14 +11,19 @@ from typing import Literal, Union, assert_never

 import celery
 from celery.result import AsyncResult
-from hatchet_sdk.clients.rest.exceptions import ApiException, NotFoundException
+from hatchet_sdk.clients.rest.exceptions import ApiException
 from hatchet_sdk.clients.rest.models import V1TaskStatus

 from reflector.db.recordings import recordings_controller
+from reflector.db.rooms import rooms_controller
 from reflector.db.transcripts import Transcript, transcripts_controller
 from reflector.hatchet.client import HatchetClientManager
 from reflector.logger import logger
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
+from reflector.pipelines.main_multitrack_pipeline import (
+    task_pipeline_multitrack_process,
+)
+from reflector.settings import settings
 from reflector.utils.string import NonEmptyString


@@ -97,11 +102,8 @@ async def validate_transcript_for_processing(
    if transcript.locked:
        return ValidationLocked(detail="Recording is locked")

-    if (
-        transcript.status == "idle"
-        and not transcript.workflow_run_id
-        and not transcript.recording_id
-    ):
+    # hatchet is idempotent anyways + if it wasn't dispatched successfully
+    if transcript.status == "idle" and not settings.HATCHET_ENABLED:
        return ValidationNotReady(detail="Recording is not ready for processing")

    # Check Celery tasks
@@ -114,8 +116,7 @@ async def validate_transcript_for_processing(
    ):
        return ValidationAlreadyScheduled(detail="already running")

-    # Check Hatchet workflow status if workflow_run_id exists
-    if transcript.workflow_run_id:
+    if settings.HATCHET_ENABLED and transcript.workflow_run_id:
        try:
            status = await HatchetClientManager.get_workflow_run_status(
                transcript.workflow_run_id
@@ -180,24 +181,42 @@ async def dispatch_transcript_processing(
    Returns AsyncResult for Celery tasks, None for Hatchet workflows.
    """
    if isinstance(config, MultitrackProcessingConfig):
-        # Multitrack processing always uses Hatchet (no Celery fallback)
-        # First check if we can replay (outside transaction since it's read-only)
-        transcript = await transcripts_controller.get_by_id(config.transcript_id)
-        if transcript and transcript.workflow_run_id and not force:
-            can_replay = await HatchetClientManager.can_replay(
-                transcript.workflow_run_id
+        # Check if room has use_hatchet=True (overrides env vars)
+        room_forces_hatchet = False
+        if config.room_id:
+            room = await rooms_controller.get_by_id(config.room_id)
+            room_forces_hatchet = room.use_hatchet if room else False
+
+        # Start durable workflow if enabled (Hatchet)
+        # and if room has use_hatchet=True
+        use_hatchet = settings.HATCHET_ENABLED and room_forces_hatchet
+
+        if room_forces_hatchet:
+            logger.info(
+                "Room forces Hatchet workflow",
+                room_id=config.room_id,
+                transcript_id=config.transcript_id,
            )
-            if can_replay:
-                await HatchetClientManager.replay_workflow(transcript.workflow_run_id)
-                logger.info(
-                    "Replaying Hatchet workflow",
-                    workflow_id=transcript.workflow_run_id,
+
+        if use_hatchet:
+            # First check if we can replay (outside transaction since it's read-only)
+            transcript = await transcripts_controller.get_by_id(config.transcript_id)
+            if transcript and transcript.workflow_run_id and not force:
+                can_replay = await HatchetClientManager.can_replay(
+                    transcript.workflow_run_id
                )
-                return None
-            else:
-                # Workflow can't replay (CANCELLED, COMPLETED, or 404 deleted)
-                # Log and proceed to start new workflow
-                try:
+                if can_replay:
+                    await HatchetClientManager.replay_workflow(
+                        transcript.workflow_run_id
+                    )
+                    logger.info(
+                        "Replaying Hatchet workflow",
+                        workflow_id=transcript.workflow_run_id,
+                    )
+                    return None
+                else:
+                    # Workflow exists but can't replay (CANCELLED, COMPLETED, etc.)
+                    # Log and proceed to start new workflow
                    status = await HatchetClientManager.get_workflow_run_status(
                        transcript.workflow_run_id
                    )
@@ -206,72 +225,68 @@ async def dispatch_transcript_processing(
                        old_workflow_id=transcript.workflow_run_id,
                        old_status=status.value,
                    )
-                except NotFoundException:
-                    # Workflow deleted from Hatchet but ID still in DB
-                    logger.info(
-                        "Old workflow not found in Hatchet, starting new",
-                        old_workflow_id=transcript.workflow_run_id,
-                    )

-        # Force: cancel old workflow if exists
-        if force and transcript and transcript.workflow_run_id:
-            try:
+            # Force: cancel old workflow if exists
+            if force and transcript and transcript.workflow_run_id:
                await HatchetClientManager.cancel_workflow(transcript.workflow_run_id)
                logger.info(
                    "Cancelled old workflow (--force)",
                    workflow_id=transcript.workflow_run_id,
                )
-            except NotFoundException:
-                logger.info(
-                    "Old workflow already deleted (--force)",
-                    workflow_id=transcript.workflow_run_id,
+                await transcripts_controller.update(
+                    transcript, {"workflow_run_id": None}
                )
-            await transcripts_controller.update(transcript, {"workflow_run_id": None})

-        # Re-fetch and check for concurrent dispatch (optimistic approach).
-        # No database lock - worst case is duplicate dispatch, but Hatchet
-        # workflows are idempotent so this is acceptable.
-        transcript = await transcripts_controller.get_by_id(config.transcript_id)
-        if transcript and transcript.workflow_run_id:
-            # Another process started a workflow between validation and now
-            try:
-                status = await HatchetClientManager.get_workflow_run_status(
-                    transcript.workflow_run_id
-                )
-                if status in (V1TaskStatus.RUNNING, V1TaskStatus.QUEUED):
-                    logger.info(
-                        "Concurrent workflow detected, skipping dispatch",
-                        workflow_id=transcript.workflow_run_id,
+            # Re-fetch and check for concurrent dispatch (optimistic approach).
+            # No database lock - worst case is duplicate dispatch, but Hatchet
+            # workflows are idempotent so this is acceptable.
+            transcript = await transcripts_controller.get_by_id(config.transcript_id)
+            if transcript and transcript.workflow_run_id:
+                # Another process started a workflow between validation and now
+                try:
+                    status = await HatchetClientManager.get_workflow_run_status(
+                        transcript.workflow_run_id
                    )
-                    return None
-            except ApiException:
-                # Workflow might be gone (404) or API issue - proceed with new workflow
-                pass
+                    if status in (V1TaskStatus.RUNNING, V1TaskStatus.QUEUED):
+                        logger.info(
+                            "Concurrent workflow detected, skipping dispatch",
+                            workflow_id=transcript.workflow_run_id,
+                        )
+                        return None
+                except ApiException:
+                    # Workflow might be gone (404) or API issue - proceed with new workflow
+                    pass

-        workflow_id = await HatchetClientManager.start_workflow(
-            workflow_name="DiarizationPipeline",
-            input_data={
-                "recording_id": config.recording_id,
-                "tracks": [{"s3_key": k} for k in config.track_keys],
-                "bucket_name": config.bucket_name,
-                "transcript_id": config.transcript_id,
-                "room_id": config.room_id,
-            },
-            additional_metadata={
-                "transcript_id": config.transcript_id,
-                "recording_id": config.recording_id,
-                "daily_recording_id": config.recording_id,
-            },
-        )
-
-        if transcript:
-            await transcripts_controller.update(
-                transcript, {"workflow_run_id": workflow_id}
+            workflow_id = await HatchetClientManager.start_workflow(
+                workflow_name="DiarizationPipeline",
+                input_data={
+                    "recording_id": config.recording_id,
+                    "tracks": [{"s3_key": k} for k in config.track_keys],
+                    "bucket_name": config.bucket_name,
+                    "transcript_id": config.transcript_id,
+                    "room_id": config.room_id,
+                },
+                additional_metadata={
+                    "transcript_id": config.transcript_id,
+                    "recording_id": config.recording_id,
+                    "daily_recording_id": config.recording_id,
+                },
            )

-        logger.info("Hatchet workflow dispatched", workflow_id=workflow_id)
-        return None
+            if transcript:
+                await transcripts_controller.update(
+                    transcript, {"workflow_run_id": workflow_id}
+                )

+            logger.info("Hatchet workflow dispatched", workflow_id=workflow_id)
+            return None
+
+        # Celery pipeline (durable workflows disabled)
+        return task_pipeline_multitrack_process.delay(
+            transcript_id=config.transcript_id,
+            bucket_name=config.bucket_name,
+            track_keys=config.track_keys,
+        )
    elif isinstance(config, FileProcessingConfig):
        return task_pipeline_file_process.delay(transcript_id=config.transcript_id)
    else:
--- a/server/reflector/settings.py
+++ b/server/reflector/settings.py
@@ -1,7 +1,7 @@
 from pydantic.types import PositiveInt
 from pydantic_settings import BaseSettings, SettingsConfigDict

-from reflector.schemas.platform import DAILY_PLATFORM, Platform
+from reflector.schemas.platform import WHEREBY_PLATFORM, Platform
 from reflector.utils.string import NonEmptyString


@@ -49,7 +49,6 @@ class Settings(BaseSettings):
    TRANSCRIPT_STORAGE_AWS_REGION: str = "us-east-1"
    TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID: str | None = None
    TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY: str | None = None
-    TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL: str | None = None

    # Platform-specific recording storage (follows {PREFIX}_STORAGE_AWS_{CREDENTIAL} pattern)
    # Whereby storage configuration
@@ -85,7 +84,9 @@ class Settings(BaseSettings):
    )

    # Diarization
-    # backend: modal — HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
+    # backends:
+    #   - pyannote: in-process model loading (no HTTP, runs in same process)
+    #   - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
    DIARIZATION_ENABLED: bool = True
    DIARIZATION_BACKEND: str = "modal"
    DIARIZATION_URL: str | None = None
@@ -94,9 +95,8 @@ class Settings(BaseSettings):
    # Diarization: modal backend
    DIARIZATION_MODAL_API_KEY: str | None = None

-    # Audio Padding (Modal.com backend)
-    PADDING_URL: str | None = None
-    PADDING_MODAL_API_KEY: str | None = None
+    # Diarization: local pyannote.audio
+    DIARIZATION_PYANNOTE_AUTH_TOKEN: str | None = None

    # Sentry
    SENTRY_DSN: str | None = None
@@ -151,17 +151,26 @@ class Settings(BaseSettings):
        None  # Webhook UUID for this environment. Not used by production code
    )
    # Platform Configuration
-    DEFAULT_VIDEO_PLATFORM: Platform = DAILY_PLATFORM
+    DEFAULT_VIDEO_PLATFORM: Platform = WHEREBY_PLATFORM

    # Zulip integration
    ZULIP_REALM: str | None = None
    ZULIP_API_KEY: str | None = None
    ZULIP_BOT_EMAIL: str | None = None

-    # Hatchet workflow orchestration (always enabled for multitrack processing)
+    # Durable workflow orchestration
+    # Provider: "hatchet" (or "none" to disable)
+    DURABLE_WORKFLOW_PROVIDER: str = "none"
+
+    # Hatchet workflow orchestration
    HATCHET_CLIENT_TOKEN: str | None = None
    HATCHET_CLIENT_TLS_STRATEGY: str = "none"  # none, tls, mtls
    HATCHET_DEBUG: bool = False

+    @property
+    def HATCHET_ENABLED(self) -> bool:
+        """True if Hatchet is the active provider."""
+        return self.DURABLE_WORKFLOW_PROVIDER == "hatchet"
+

 settings = Settings()
--- a/server/reflector/storage/storage_aws.py
+++ b/server/reflector/storage/storage_aws.py
@@ -53,7 +53,6 @@ class AwsStorage(Storage):
        aws_access_key_id: str | None = None,
        aws_secret_access_key: str | None = None,
        aws_role_arn: str | None = None,
-        aws_endpoint_url: str | None = None,
    ):
        if not aws_bucket_name:
            raise ValueError("Storage `aws_storage` require `aws_bucket_name`")
@@ -74,26 +73,17 @@ class AwsStorage(Storage):
        self._access_key_id = aws_access_key_id
        self._secret_access_key = aws_secret_access_key
        self._role_arn = aws_role_arn
-        self._endpoint_url = aws_endpoint_url

        self.aws_folder = ""
        if "/" in aws_bucket_name:
            self._bucket_name, self.aws_folder = aws_bucket_name.split("/", 1)
-
-        config_kwargs: dict = {"retries": {"max_attempts": 3, "mode": "adaptive"}}
-        if aws_endpoint_url:
-            config_kwargs["s3"] = {"addressing_style": "path"}
-        self.boto_config = Config(**config_kwargs)
-
+        self.boto_config = Config(retries={"max_attempts": 3, "mode": "adaptive"})
        self.session = aioboto3.Session(
            aws_access_key_id=aws_access_key_id,
            aws_secret_access_key=aws_secret_access_key,
            region_name=aws_region,
        )
-        if aws_endpoint_url:
-            self.base_url = f"{aws_endpoint_url}/{self._bucket_name}/"
-        else:
-            self.base_url = f"https://{self._bucket_name}.s3.amazonaws.com/"
+        self.base_url = f"https://{self._bucket_name}.s3.amazonaws.com/"

    # Implement credential properties
    @property
@@ -149,9 +139,7 @@ class AwsStorage(Storage):
        s3filename = f"{folder}/{filename}" if folder else filename
        logger.info(f"Uploading {filename} to S3 {actual_bucket}/{folder}")

-        async with self.session.client(
-            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
-        ) as client:
+        async with self.session.client("s3", config=self.boto_config) as client:
            if isinstance(data, bytes):
                await client.put_object(Bucket=actual_bucket, Key=s3filename, Body=data)
            else:
@@ -174,9 +162,7 @@ class AwsStorage(Storage):
        actual_bucket = bucket or self._bucket_name
        folder = self.aws_folder
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client(
-            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
-        ) as client:
+        async with self.session.client("s3", config=self.boto_config) as client:
            presigned_url = await client.generate_presigned_url(
                operation,
                Params={"Bucket": actual_bucket, "Key": s3filename},
@@ -191,9 +177,7 @@ class AwsStorage(Storage):
        folder = self.aws_folder
        logger.info(f"Deleting {filename} from S3 {actual_bucket}/{folder}")
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client(
-            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
-        ) as client:
+        async with self.session.client("s3", config=self.boto_config) as client:
            await client.delete_object(Bucket=actual_bucket, Key=s3filename)

    @handle_s3_client_errors("download")
@@ -202,9 +186,7 @@ class AwsStorage(Storage):
        folder = self.aws_folder
        logger.info(f"Downloading {filename} from S3 {actual_bucket}/{folder}")
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client(
-            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
-        ) as client:
+        async with self.session.client("s3", config=self.boto_config) as client:
            response = await client.get_object(Bucket=actual_bucket, Key=s3filename)
            return await response["Body"].read()

@@ -219,9 +201,7 @@ class AwsStorage(Storage):
        logger.info(f"Listing objects from S3 {actual_bucket} with prefix '{s3prefix}'")

        keys = []
-        async with self.session.client(
-            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
-        ) as client:
+        async with self.session.client("s3", config=self.boto_config) as client:
            paginator = client.get_paginator("list_objects_v2")
            async for page in paginator.paginate(Bucket=actual_bucket, Prefix=s3prefix):
                if "Contents" in page:
@@ -247,9 +227,7 @@ class AwsStorage(Storage):
        folder = self.aws_folder
        logger.info(f"Streaming {filename} from S3 {actual_bucket}/{folder}")
        s3filename = f"{folder}/{filename}" if folder else filename
-        async with self.session.client(
-            "s3", config=self.boto_config, endpoint_url=self._endpoint_url
-        ) as client:
+        async with self.session.client("s3", config=self.boto_config) as client:
            await client.download_fileobj(
                Bucket=actual_bucket, Key=s3filename, Fileobj=fileobj
            )
--- a/server/reflector/utils/audio_constants.py
+++ b/server/reflector/utils/audio_constants.py
@@ -5,9 +5,7 @@ Used by both Hatchet workflows and Celery pipelines for consistent audio encodin
 """

 # Opus codec settings
-# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
 OPUS_STANDARD_SAMPLE_RATE = 48000
-# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
 OPUS_DEFAULT_BIT_RATE = 128000  # 128kbps for good speech quality

 # S3 presigned URL expiration
--- a/server/reflector/video_platforms/daily.py
+++ b/server/reflector/video_platforms/daily.py
@@ -1,5 +1,4 @@
 from datetime import datetime
-from uuid import UUID

 from reflector.dailyco_api import (
    CreateMeetingTokenRequest,
@@ -13,11 +12,9 @@ from reflector.dailyco_api import (
    RoomProperties,
    verify_webhook_signature,
 )
-from reflector.dailyco_api import RecordingType as DailyRecordingType
 from reflector.db.daily_participant_sessions import (
    daily_participant_sessions_controller,
 )
-from reflector.db.meetings import meetings_controller
 from reflector.db.rooms import Room
 from reflector.logger import logger
 from reflector.storage import get_dailyco_storage
@@ -61,9 +58,10 @@ class DailyClient(VideoPlatformClient):
        enable_recording = None
        if room.recording_type == self.RECORDING_LOCAL:
            enable_recording = "local"
-        elif room.recording_type == self.RECORDING_CLOUD:
-            # Don't set enable_recording - recordings started via REST API (not auto-start)
-            enable_recording = None
+        elif (
+            room.recording_type == self.RECORDING_CLOUD
+        ):  # daily "cloud" is not our "cloud"
+            enable_recording = "raw-tracks"

        properties = RoomProperties(
            enable_recording=enable_recording,
@@ -108,6 +106,8 @@ class DailyClient(VideoPlatformClient):
        Daily.co doesn't provide historical session API, so we query our database
        where participant.joined/left webhooks are stored.
        """
+        from reflector.db.meetings import meetings_controller  # noqa: PLC0415
+
        meeting = await meetings_controller.get_by_room_name(room_name)
        if not meeting:
            return []
@@ -179,14 +179,21 @@ class DailyClient(VideoPlatformClient):
    async def create_meeting_token(
        self,
        room_name: DailyRoomName,
+        start_cloud_recording: bool,
        enable_recording_ui: bool,
        user_id: NonEmptyString | None = None,
        is_owner: bool = False,
        max_recording_duration_seconds: int | None = None,
    ) -> NonEmptyString:
+        start_cloud_recording_opts = None
+        if start_cloud_recording and max_recording_duration_seconds:
+            start_cloud_recording_opts = {"maxDuration": max_recording_duration_seconds}
+
        properties = MeetingTokenProperties(
            room_name=room_name,
            user_id=user_id,
+            start_cloud_recording=start_cloud_recording,
+            start_cloud_recording_opts=start_cloud_recording_opts,
            enable_recording_ui=enable_recording_ui,
            is_owner=is_owner,
        )
@@ -194,23 +201,6 @@ class DailyClient(VideoPlatformClient):
        result = await self._api_client.create_meeting_token(request)
        return result.token

-    async def start_recording(
-        self,
-        room_name: DailyRoomName,
-        recording_type: DailyRecordingType,
-        instance_id: UUID,
-    ) -> dict:
-        """Start recording via Daily.co REST API.
-
-        Args:
-            instance_id: UUID for this recording session - one UUID per "room" in Daily (which is "meeting" in Reflector)
-        """
-        return await self._api_client.start_recording(
-            room_name=room_name,
-            recording_type=recording_type,
-            instance_id=instance_id,
-        )
-
    async def close(self):
        """Clean up API client resources."""
        await self._api_client.close()
--- a/server/reflector/views/daily.py
+++ b/server/reflector/views/daily.py
@@ -19,7 +19,6 @@ from reflector.video_platforms.factory import create_platform_client
 from reflector.worker.process import (
    poll_daily_room_presence_task,
    process_multitrack_recording,
-    store_cloud_recording,
 )

 router = APIRouter()
@@ -80,14 +79,7 @@ async def webhook(request: Request):
    try:
        event = event_adapter.validate_python(body_json)
    except Exception as e:
-        err_detail = str(e)
-        if hasattr(e, "errors"):
-            err_detail = f"{err_detail}; errors={e.errors()!r}"
-        logger.error(
-            "Failed to parse webhook event",
-            error=err_detail,
-            body=body.decode(),
-        )
+        logger.error("Failed to parse webhook event", error=str(e), body=body.decode())
        raise HTTPException(status_code=422, detail="Invalid event format")

    match event:
@@ -182,64 +174,46 @@ async def _handle_recording_started(event: RecordingStartedEvent):
 async def _handle_recording_ready(event: RecordingReadyEvent):
    room_name = event.payload.room_name
    recording_id = event.payload.recording_id
-    recording_type = event.payload.type
+    tracks = event.payload.tracks
+
+    if not tracks:
+        logger.warning(
+            "recording.ready-to-download: missing tracks",
+            room_name=room_name,
+            recording_id=recording_id,
+            payload=event.payload,
+        )
+        return

    logger.info(
        "Recording ready for download",
        room_name=room_name,
        recording_id=recording_id,
-        recording_type=recording_type,
+        num_tracks=len(tracks),
        platform="daily",
    )

    bucket_name = settings.DAILYCO_STORAGE_AWS_BUCKET_NAME
    if not bucket_name:
-        logger.error("DAILYCO_STORAGE_AWS_BUCKET_NAME not configured")
+        logger.error(
+            "DAILYCO_STORAGE_AWS_BUCKET_NAME not configured; cannot process Daily recording"
+        )
        return

-    if recording_type == "cloud":
-        await store_cloud_recording(
-            recording_id=recording_id,
-            room_name=room_name,
-            s3_key=event.payload.s3_key,
-            duration=event.payload.duration,
-            start_ts=event.payload.start_ts,
-            source="webhook",
-        )
+    track_keys = [t.s3Key for t in tracks if t.type == "audio"]

-    elif recording_type == "raw-tracks":
-        tracks = event.payload.tracks
-        if not tracks:
-            logger.warning(
-                "raw-tracks recording: missing tracks array",
-                room_name=room_name,
-                recording_id=recording_id,
-            )
-            return
+    logger.info(
+        "Recording webhook queuing processing",
+        recording_id=recording_id,
+        room_name=room_name,
+    )

-        track_keys = [t.s3Key for t in tracks if t.type == "audio"]
-
-        logger.info(
-            "Raw-tracks recording queuing processing",
-            recording_id=recording_id,
-            room_name=room_name,
-            num_tracks=len(track_keys),
-        )
-
-        process_multitrack_recording.delay(
-            bucket_name=bucket_name,
-            daily_room_name=room_name,
-            recording_id=recording_id,
-            track_keys=track_keys,
-            recording_start_ts=event.payload.start_ts,
-        )
-
-    else:
-        logger.warning(
-            "Unknown recording type",
-            recording_type=recording_type,
-            recording_id=recording_id,
-        )
+    process_multitrack_recording.delay(
+        bucket_name=bucket_name,
+        daily_room_name=room_name,
+        recording_id=recording_id,
+        track_keys=track_keys,
+    )


 async def _handle_recording_error(event: RecordingErrorEvent):
--- a/server/reflector/views/meetings.py
+++ b/server/reflector/views/meetings.py
@@ -1,23 +1,16 @@
-import json
 from datetime import datetime, timezone
-from typing import Annotated, Any, Optional
-from uuid import UUID
+from typing import Annotated, Optional

 from fastapi import APIRouter, Depends, HTTPException, Request
 from pydantic import BaseModel

 import reflector.auth as auth
-from reflector.dailyco_api import RecordingType
-from reflector.dailyco_api.client import DailyApiError
 from reflector.db.meetings import (
    MeetingConsent,
    meeting_consent_controller,
    meetings_controller,
 )
 from reflector.db.rooms import rooms_controller
-from reflector.logger import logger
-from reflector.utils.string import NonEmptyString
-from reflector.video_platforms.factory import create_platform_client

 router = APIRouter()

@@ -80,72 +73,3 @@ async def meeting_deactivate(
    await meetings_controller.update_meeting(meeting_id, is_active=False)

    return {"status": "success", "meeting_id": meeting_id}
-
-
-class StartRecordingRequest(BaseModel):
-    type: RecordingType
-    instanceId: UUID
-
-
-@router.post("/meetings/{meeting_id}/recordings/start")
-async def start_recording(
-    meeting_id: NonEmptyString, body: StartRecordingRequest
-) -> dict[str, Any]:
-    """Start cloud or raw-tracks recording via Daily.co REST API.
-
-    Both cloud and raw-tracks are started via REST API to bypass enable_recording limitation of allowing only 1 recording at a time.
-    Uses different instanceIds for cloud vs raw-tracks (same won't work)
-
-    Note: No authentication required - anonymous users supported. TODO this is a DOS vector
-    """
-    meeting = await meetings_controller.get_by_id(meeting_id)
-    if not meeting:
-        raise HTTPException(status_code=404, detail="Meeting not found")
-
-    log = logger.bind(
-        meeting_id=meeting_id,
-        room_name=meeting.room_name,
-        recording_type=body.type,
-        instance_id=body.instanceId,
-    )
-
-    try:
-        client = create_platform_client("daily")
-        result = await client.start_recording(
-            room_name=meeting.room_name,
-            recording_type=body.type,
-            instance_id=body.instanceId,
-        )
-
-        log.info(f"Started {body.type} recording via REST API")
-
-        return {"status": "ok", "result": result}
-
-    except DailyApiError as e:
-        # Parse Daily.co error response to detect "has an active stream"
-        try:
-            error_body = json.loads(e.response_body)
-            error_info = error_body.get("info", "")
-
-            # "has an active stream" means recording already started by another participant
-            # This is SUCCESS from business logic perspective - return 200
-            if "has an active stream" in error_info:
-                log.info(
-                    f"{body.type} recording already active (started by another participant)"
-                )
-                return {"status": "already_active", "instanceId": str(body.instanceId)}
-        except (json.JSONDecodeError, KeyError):
-            pass  # Fall through to error handling
-
-        # All other Daily.co API errors
-        log.error(f"Failed to start {body.type} recording", error=str(e))
-        raise HTTPException(
-            status_code=500, detail=f"Failed to start recording: {str(e)}"
-        )
-
-    except Exception as e:
-        # Non-Daily.co errors
-        log.error(f"Failed to start {body.type} recording", error=str(e))
-        raise HTTPException(
-            status_code=500, detail=f"Failed to start recording: {str(e)}"
-        )
--- a/server/reflector/views/rooms.py
+++ b/server/reflector/views/rooms.py
@@ -73,8 +73,6 @@ class Meeting(BaseModel):
    calendar_event_id: str | None = None
    calendar_metadata: dict[str, Any] | None = None
    platform: Platform
-    daily_composed_video_s3_key: str | None = None
-    daily_composed_video_duration: int | None = None


 class CreateRoom(BaseModel):
@@ -588,6 +586,7 @@ async def rooms_join_meeting(
        )
        token = await client.create_meeting_token(
            meeting.room_name,
+            start_cloud_recording=meeting.recording_type == "cloud",
            enable_recording_ui=enable_recording_ui,
            user_id=user_id,
            is_owner=user_id == room.user_id,
--- a/server/reflector/views/transcripts_chat.py
+++ b/server/reflector/views/transcripts_chat.py
@@ -0,0 +1,133 @@
+"""
+Transcripts chat API
+====================
+
+WebSocket endpoint for bidirectional chat with LLM about transcript content.
+"""
+
+from typing import Optional
+
+from fastapi import APIRouter, WebSocket, WebSocketDisconnect
+from llama_index.core import Settings
+from llama_index.core.base.llms.types import ChatMessage, MessageRole
+
+from reflector.auth.auth_jwt import JWTAuth
+from reflector.db.recordings import recordings_controller
+from reflector.db.transcripts import transcripts_controller
+from reflector.db.users import user_controller
+from reflector.llm import LLM
+from reflector.settings import settings
+from reflector.utils.transcript_formats import topics_to_webvtt_named
+
+router = APIRouter()
+
+
+async def _get_is_multitrack(transcript) -> bool:
+    """Detect if transcript is from multitrack recording."""
+    if not transcript.recording_id:
+        return False
+    recording = await recordings_controller.get_by_id(transcript.recording_id)
+    return recording is not None and recording.is_multitrack
+
+
+@router.websocket("/transcripts/{transcript_id}/chat")
+async def transcript_chat_websocket(
+    transcript_id: str,
+    websocket: WebSocket,
+):
+    """WebSocket endpoint for chatting with LLM about transcript content."""
+    # 1. Auth check (optional) - extract token from WebSocket subprotocol header
+    # Browser can't send Authorization header for WS; use subprotocol: ["bearer", token]
+    raw_subprotocol = websocket.headers.get("sec-websocket-protocol") or ""
+    parts = [p.strip() for p in raw_subprotocol.split(",") if p.strip()]
+    token: Optional[str] = None
+    negotiated_subprotocol: Optional[str] = None
+    if len(parts) >= 2 and parts[0].lower() == "bearer":
+        negotiated_subprotocol = "bearer"
+        token = parts[1]
+
+    user_id: Optional[str] = None
+    if token:
+        try:
+            payload = JWTAuth().verify_token(token)
+            authentik_uid = payload.get("sub")
+
+            if authentik_uid:
+                user = await user_controller.get_by_authentik_uid(authentik_uid)
+                if user:
+                    user_id = user.id
+        except Exception:
+            # Auth failed - continue as anonymous
+            pass
+
+    # Get transcript (respects user_id for private transcripts)
+    transcript = await transcripts_controller.get_by_id_for_http(
+        transcript_id, user_id=user_id
+    )
+    if not transcript:
+        await websocket.close(code=1008)  # Policy violation (not found/unauthorized)
+        return
+
+    # 2. Accept connection (with negotiated subprotocol if present)
+    await websocket.accept(subprotocol=negotiated_subprotocol)
+
+    # 3. Generate WebVTT context
+    is_multitrack = await _get_is_multitrack(transcript)
+    webvtt = topics_to_webvtt_named(
+        transcript.topics, transcript.participants, is_multitrack
+    )
+
+    # Truncate if needed (15k char limit for POC)
+    webvtt_truncated = webvtt[:15000] if len(webvtt) > 15000 else webvtt
+
+    # 4. Configure LLM
+    llm = LLM(settings=settings, temperature=0.7)
+
+    # 5. System message with transcript context
+    system_msg = f"""You are analyzing this meeting transcript (WebVTT):
+
+{webvtt_truncated}
+
+Answer questions about content, speakers, timeline. Include timestamps when relevant."""
+
+    # 6. Conversation history
+    conversation_history = [ChatMessage(role=MessageRole.SYSTEM, content=system_msg)]
+
+    try:
+        # 7. Message loop
+        while True:
+            data = await websocket.receive_json()
+
+            if data.get("type") == "get_context":
+                # Return WebVTT context (for debugging/testing)
+                await websocket.send_json({"type": "context", "webvtt": webvtt})
+                continue
+
+            if data.get("type") != "message":
+                # Echo unknown types for backward compatibility
+                await websocket.send_json({"type": "echo", "data": data})
+                continue
+
+            # Add user message to history
+            user_msg = ChatMessage(role=MessageRole.USER, content=data.get("text", ""))
+            conversation_history.append(user_msg)
+
+            # Stream LLM response
+            assistant_msg = ""
+            chat_stream = await Settings.llm.astream_chat(conversation_history)
+            async for chunk in chat_stream:
+                token = chunk.delta or ""
+                if token:
+                    await websocket.send_json({"type": "token", "text": token})
+                    assistant_msg += token
+
+            # Save assistant response to history
+            conversation_history.append(
+                ChatMessage(role=MessageRole.ASSISTANT, content=assistant_msg)
+            )
+            await websocket.send_json({"type": "done"})
+
+    except WebSocketDisconnect:
+        pass
+    except Exception as e:
+        await websocket.send_json({"type": "error", "message": str(e)})
--- a/server/reflector/views/transcripts_upload.py
+++ b/server/reflector/views/transcripts_upload.py
@@ -5,7 +5,7 @@ from fastapi import APIRouter, Depends, HTTPException, UploadFile
 from pydantic import BaseModel

 import reflector.auth as auth
-from reflector.db.transcripts import SourceKind, transcripts_controller
+from reflector.db.transcripts import transcripts_controller
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process

 router = APIRouter()
@@ -88,10 +88,8 @@ async def transcript_record_upload(
    finally:
        container.close()

-    # set the status to "uploaded" and mark as file source
-    await transcripts_controller.update(
-        transcript, {"status": "uploaded", "source_kind": SourceKind.FILE}
-    )
+    # set the status to "uploaded"
+    await transcripts_controller.update(transcript, {"status": "uploaded"})

    # launch a background task to process the file
    task_pipeline_file_process.delay(transcript_id=transcript_id)
--- a/server/reflector/views/transcripts_websocket.py
+++ b/server/reflector/views/transcripts_websocket.py
@@ -4,22 +4,18 @@ Transcripts websocket API

 """

-from fastapi import APIRouter, HTTPException, WebSocket, WebSocketDisconnect
+from typing import Optional
+
+from fastapi import APIRouter, Depends, HTTPException, WebSocket, WebSocketDisconnect

 import reflector.auth as auth
 from reflector.db.transcripts import transcripts_controller
-from reflector.ws_events import TranscriptWsEvent
 from reflector.ws_manager import get_ws_manager

 router = APIRouter()


-@router.get(
-    "/transcripts/{transcript_id}/events",
-    response_model=TranscriptWsEvent,
-    summary="Transcript WebSocket event schema",
-    description="Stub exposing the discriminated union of all transcript-level WS events for OpenAPI type generation. Real events are delivered over the WebSocket at the same path.",
-)
+@router.get("/transcripts/{transcript_id}/events")
 async def transcript_get_websocket_events(transcript_id: str):
    pass

@@ -28,9 +24,8 @@ async def transcript_get_websocket_events(transcript_id: str):
 async def transcript_events_websocket(
    transcript_id: str,
    websocket: WebSocket,
+    user: Optional[auth.UserInfo] = Depends(auth.current_user_optional),
 ):
-    _, negotiated_subprotocol = auth.parse_ws_bearer_token(websocket)
-    user = await auth.current_user_ws_optional(websocket)
    user_id = user["sub"] if user else None
    transcript = await transcripts_controller.get_by_id_for_http(
        transcript_id, user_id=user_id
@@ -42,9 +37,7 @@ async def transcript_events_websocket(
    # use ts:transcript_id as room id
    room_id = f"ts:{transcript_id}"
    ws_manager = get_ws_manager()
-    await ws_manager.add_user_to_room(
-        room_id, websocket, subprotocol=negotiated_subprotocol
-    )
+    await ws_manager.add_user_to_room(room_id, websocket)

    try:
        # on first connection, send all events only to the current user
--- a/server/reflector/views/user_websocket.py
+++ b/server/reflector/views/user_websocket.py
@@ -1,25 +1,13 @@
 from typing import Optional

-from fastapi import APIRouter, WebSocket, WebSocketDisconnect
+from fastapi import APIRouter, WebSocket

 from reflector.auth.auth_jwt import JWTAuth  # type: ignore
 from reflector.db.users import user_controller
-from reflector.ws_events import UserWsEvent
 from reflector.ws_manager import get_ws_manager

 router = APIRouter()

-
-@router.get(
-    "/events",
-    response_model=UserWsEvent,
-    summary="User WebSocket event schema",
-    description="Stub exposing the discriminated union of all user-level WS events for OpenAPI type generation. Real events are delivered over the WebSocket at the same path.",
-)
-async def user_get_websocket_events():
-    pass
-
-
 # Close code for unauthorized WebSocket connections
 UNAUTHORISED = 4401

@@ -72,8 +60,6 @@ async def user_events_websocket(websocket: WebSocket):
    try:
        while True:
            await websocket.receive()
-    except (RuntimeError, WebSocketDisconnect):
-        pass
    finally:
        if room_id:
            await ws_manager.remove_user_from_room(room_id, websocket)
--- a/server/reflector/worker/app.py
+++ b/server/reflector/worker/app.py
@@ -6,11 +6,6 @@ from celery.schedules import crontab
 from reflector.settings import settings

 logger = structlog.get_logger(__name__)
-
-# Polling intervals (seconds)
-# Webhook-aware: 180s when webhook configured (backup mode), 15s when no webhook (primary discovery)
-POLL_DAILY_RECORDINGS_INTERVAL_SEC = 180.0 if settings.DAILY_WEBHOOK_SECRET else 15.0
-
 if celery.current_app.main != "default":
    logger.info(f"Celery already configured ({celery.current_app})")
    app = celery.current_app
@@ -49,7 +44,7 @@ else:
        },
        "poll_daily_recordings": {
            "task": "reflector.worker.process.poll_daily_recordings",
-            "schedule": POLL_DAILY_RECORDINGS_INTERVAL_SEC,
+            "schedule": 180.0,  # Every 3 minutes (configurable lookback window)
        },
        "trigger_daily_reconciliation": {
            "task": "reflector.worker.process.trigger_daily_reconciliation",
--- a/server/reflector/worker/process.py
+++ b/server/reflector/worker/process.py
@@ -2,7 +2,7 @@ import json
 import os
 import re
 from datetime import datetime, timezone
-from typing import List, Literal
+from typing import List
 from urllib.parse import unquote

 import av
@@ -27,6 +27,9 @@ from reflector.db.transcripts import (
 from reflector.hatchet.client import HatchetClientManager
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
 from reflector.pipelines.main_live_pipeline import asynctask
+from reflector.pipelines.main_multitrack_pipeline import (
+    task_pipeline_multitrack_process,
+)
 from reflector.pipelines.topic_processing import EmptyPipeline
 from reflector.processors import AudioFileWriterProcessor
 from reflector.processors.audio_waveform_processor import AudioWaveformProcessor
@@ -39,7 +42,6 @@ from reflector.utils.daily import (
    filter_cam_audio_tracks,
    recording_lock_key,
 )
-from reflector.utils.string import NonEmptyString
 from reflector.video_platforms.factory import create_platform_client
 from reflector.video_platforms.whereby_utils import (
    parse_whereby_recording_filename,
@@ -173,18 +175,13 @@ async def process_multitrack_recording(
    daily_room_name: DailyRoomName,
    recording_id: str,
    track_keys: list[str],
-    recording_start_ts: int,
 ):
-    """
-    Process raw-tracks (multitrack) recording from Daily.co.
-    """
    logger.info(
        "Processing multitrack recording",
        bucket=bucket_name,
        room_name=daily_room_name,
        recording_id=recording_id,
        provided_keys=len(track_keys),
-        recording_start_ts=recording_start_ts,
    )

    if not track_keys:
@@ -215,7 +212,7 @@ async def process_multitrack_recording(
        )

        await _process_multitrack_recording_inner(
-            bucket_name, daily_room_name, recording_id, track_keys, recording_start_ts
+            bucket_name, daily_room_name, recording_id, track_keys
        )


@@ -224,18 +221,8 @@ async def _process_multitrack_recording_inner(
    daily_room_name: DailyRoomName,
    recording_id: str,
    track_keys: list[str],
-    recording_start_ts: int,
 ):
-    """
-    Process multitrack recording (first time or reprocessing).
-
-    For first processing (webhook/polling):
-    - Uses recording_start_ts for time-based meeting matching (no instanceId available)
-
-    For reprocessing:
-    - Uses recording.meeting_id directly (already linked during first processing)
-    - recording_start_ts is ignored
-    """
+    """Inner function containing the actual processing logic."""

    tz = timezone.utc
    recorded_at = datetime.now(tz)
@@ -253,53 +240,7 @@ async def _process_multitrack_recording_inner(
            exc_info=True,
        )

-    # Check if recording already exists (reprocessing path)
-    recording = await recordings_controller.get_by_id(recording_id)
-
-    if recording and recording.meeting_id:
-        # Reprocessing: recording exists with meeting already linked
-        meeting = await meetings_controller.get_by_id(recording.meeting_id)
-        if not meeting:
-            logger.error(
-                "Reprocessing: meeting not found for recording - skipping",
-                meeting_id=recording.meeting_id,
-                recording_id=recording_id,
-            )
-            return
-
-        logger.info(
-            "Reprocessing: using existing recording.meeting_id",
-            recording_id=recording_id,
-            meeting_id=meeting.id,
-            room_name=daily_room_name,
-        )
-    else:
-        # First processing: recording doesn't exist, need time-based matching
-        # (Daily.co doesn't return instanceId in API, must match by timestamp)
-        recording_start = datetime.fromtimestamp(recording_start_ts, tz=timezone.utc)
-        meeting = await meetings_controller.get_by_room_name_and_time(
-            room_name=daily_room_name,
-            recording_start=recording_start,
-            time_window_hours=168,  # 1 week
-        )
-        if not meeting:
-            logger.error(
-                "Raw-tracks: no meeting found within 1-week window (time-based match) - skipping",
-                recording_id=recording_id,
-                room_name=daily_room_name,
-                recording_start_ts=recording_start_ts,
-                recording_start=recording_start.isoformat(),
-            )
-            return  # Skip processing, will retry on next poll
-        logger.info(
-            "First processing: found meeting via time-based matching",
-            meeting_id=meeting.id,
-            room_name=daily_room_name,
-            recording_id=recording_id,
-            time_delta_seconds=abs(
-                (meeting.start_date - recording_start).total_seconds()
-            ),
-        )
+    meeting = await meetings_controller.get_by_room_name(daily_room_name)

    room_name_base = extract_base_room_name(daily_room_name)

@@ -307,8 +248,18 @@ async def _process_multitrack_recording_inner(
    if not room:
        raise Exception(f"Room not found: {room_name_base}")

+    if not meeting:
+        raise Exception(f"Meeting not found: {room_name_base}")
+
+    logger.info(
+        "Found existing Meeting for recording",
+        meeting_id=meeting.id,
+        room_name=daily_room_name,
+        recording_id=recording_id,
+    )
+
+    recording = await recordings_controller.get_by_id(recording_id)
    if not recording:
-        # Create recording (only happens during first processing)
        object_key_dir = os.path.dirname(track_keys[0]) if track_keys else ""
        recording = await recordings_controller.create(
            Recording(
@@ -320,19 +271,7 @@ async def _process_multitrack_recording_inner(
                track_keys=track_keys,
            )
        )
-    elif not recording.meeting_id:
-        # Recording exists but meeting_id is null (failed first processing)
-        # Update with meeting from time-based matching
-        await recordings_controller.set_meeting_id(
-            recording_id=recording.id,
-            meeting_id=meeting.id,
-        )
-        recording.meeting_id = meeting.id
-        logger.info(
-            "Updated existing recording with meeting_id",
-            recording_id=recording.id,
-            meeting_id=meeting.id,
-        )
+    # else: Recording already exists; metadata set at creation time

    transcript = await transcripts_controller.get_by_recording_id(recording.id)
    if not transcript:
@@ -348,29 +287,48 @@ async def _process_multitrack_recording_inner(
            room_id=room.id,
        )

-    # Multitrack processing always uses Hatchet (no Celery fallback)
-    workflow_id = await HatchetClientManager.start_workflow(
-        workflow_name="DiarizationPipeline",
-        input_data={
-            "recording_id": recording_id,
-            "tracks": [{"s3_key": k} for k in filter_cam_audio_tracks(track_keys)],
-            "bucket_name": bucket_name,
-            "transcript_id": transcript.id,
-            "room_id": room.id,
-        },
-        additional_metadata={
-            "transcript_id": transcript.id,
-            "recording_id": recording_id,
-            "daily_recording_id": recording_id,
-        },
-    )
-    logger.info(
-        "Started Hatchet workflow",
-        workflow_id=workflow_id,
-        transcript_id=transcript.id,
-    )
+    use_hatchet = settings.HATCHET_ENABLED and room and room.use_hatchet

-    await transcripts_controller.update(transcript, {"workflow_run_id": workflow_id})
+    if room and room.use_hatchet and not settings.HATCHET_ENABLED:
+        logger.info(
+            "Room forces Hatchet workflow",
+            room_id=room.id,
+            transcript_id=transcript.id,
+        )
+
+    if use_hatchet:
+        workflow_id = await HatchetClientManager.start_workflow(
+            workflow_name="DiarizationPipeline",
+            input_data={
+                "recording_id": recording_id,
+                "tracks": [{"s3_key": k} for k in filter_cam_audio_tracks(track_keys)],
+                "bucket_name": bucket_name,
+                "transcript_id": transcript.id,
+                "room_id": room.id,
+            },
+            additional_metadata={
+                "transcript_id": transcript.id,
+                "recording_id": recording_id,
+                "daily_recording_id": recording_id,
+            },
+        )
+        logger.info(
+            "Started Hatchet workflow",
+            workflow_id=workflow_id,
+            transcript_id=transcript.id,
+        )
+
+        await transcripts_controller.update(
+            transcript, {"workflow_run_id": workflow_id}
+        )
+        return
+
+    # Celery pipeline (runs when durable workflows disabled)
+    task_pipeline_multitrack_process.delay(
+        transcript_id=transcript.id,
+        bucket_name=bucket_name,
+        track_keys=filter_cam_audio_tracks(track_keys),
+    )


@shared_task
@@ -379,11 +337,9 @@ async def poll_daily_recordings():
    """Poll Daily.co API for recordings and process missing ones.

    Fetches latest recordings from Daily.co API (default limit 100), compares with DB,
-    and stores/queues missing recordings:
-    - Cloud recordings: Store S3 key in meeting table
-    - Raw-tracks recordings: Queue multitrack processing
+    and queues processing for recordings not already in DB.

-    Acts as fallback when webhooks active, primary discovery when webhooks unavailable.
+    For each missing recording, uses audio tracks from API response.

    Worker-level locking provides idempotency (see process_multitrack_recording).
    """
@@ -424,222 +380,51 @@ async def poll_daily_recordings():
        )
        return

-    # Separate cloud and raw-tracks recordings
-    cloud_recordings = []
-    raw_tracks_recordings = []
-    for rec in finished_recordings:
-        if rec.type:
-            # Daily.co API returns null type - make sure this assumption stays
-            # If this logs, Daily.co API changed - we can remove inference logic.
-            recording_type = rec.type
-            logger.warning(
-                "Recording has explicit type field from Daily.co API (unexpected, API may have changed)",
-                recording_id=rec.id,
-                room_name=rec.room_name,
-                recording_type=recording_type,
-                has_s3key=bool(rec.s3key),
-                tracks_count=len(rec.tracks),
-            )
-        else:
-            # DAILY.CO API LIMITATION:
-            # GET /recordings response does NOT include type field.
-            # Daily.co docs mention type field exists, but API never returns it.
-            # Verified: 84 recordings from Nov 2025 - Jan 2026 ALL have type=None.
-            #
-            # This is not a recent API change - Daily.co has never returned type.
-            # Must infer from structural properties.
-            #
-            # Inference heuristic (reliable for finished recordings):
-            # - Has tracks array → raw-tracks
-            # - Has s3key but no tracks → cloud
-            # - Neither → failed/incomplete recording
-            if len(rec.tracks) > 0:
-                recording_type = "raw-tracks"
-            elif rec.s3key and len(rec.tracks) == 0:
-                recording_type = "cloud"
-            else:
-                logger.warning(
-                    "Recording has no type, no s3key, and no tracks - likely failed recording",
-                    recording_id=rec.id,
-                    room_name=rec.room_name,
-                    status=rec.status,
-                    duration=rec.duration,
-                    mtg_session_id=rec.mtgSessionId,
-                )
-                continue
-
-        if recording_type == "cloud":
-            cloud_recordings.append(rec)
-        else:
-            raw_tracks_recordings.append(rec)
-
-    logger.debug(
-        "Poll results",
-        total=len(finished_recordings),
-        cloud=len(cloud_recordings),
-        raw_tracks=len(raw_tracks_recordings),
-    )
-
-    # Process cloud recordings
-    await _poll_cloud_recordings(cloud_recordings)
-
-    # Process raw-tracks recordings
-    await _poll_raw_tracks_recordings(raw_tracks_recordings, bucket_name)
-
-
-async def store_cloud_recording(
-    recording_id: NonEmptyString,
-    room_name: NonEmptyString,
-    s3_key: NonEmptyString,
-    duration: int,
-    start_ts: int,
-    source: Literal["webhook", "polling"],
-) -> bool:
-    """
-    Store cloud recording reference in meeting table.
-
-    Common function for both webhook and polling code paths.
-    Uses time-based matching to handle duplicate room_name values.
-
-    Args:
-        recording_id: Daily.co recording ID
-        room_name: Daily.co room name
-        s3_key: S3 key where recording is stored
-        duration: Recording duration in seconds
-        start_ts: Unix timestamp when recording started
-        source: "webhook" or "polling" (for logging)
-
-    Returns:
-        True if stored, False if skipped/failed
-    """
-    recording_start = datetime.fromtimestamp(start_ts, tz=timezone.utc)
-
-    meeting = await meetings_controller.get_by_room_name_and_time(
-        room_name=room_name,
-        recording_start=recording_start,
-        time_window_hours=168,  # 1 week
-    )
-
-    if not meeting:
-        logger.warning(
-            f"Cloud recording ({source}): no meeting found within 1-week window",
-            recording_id=recording_id,
-            room_name=room_name,
-            recording_start_ts=start_ts,
-            recording_start=recording_start.isoformat(),
-        )
-        return False
-
-    success = await meetings_controller.set_cloud_recording_if_missing(
-        meeting_id=meeting.id,
-        s3_key=s3_key,
-        duration=duration,
-    )
-
-    if not success:
-        logger.debug(
-            f"Cloud recording ({source}): already set (race lost)",
-            recording_id=recording_id,
-            room_name=room_name,
-            meeting_id=meeting.id,
-        )
-        return False
-
-    logger.info(
-        f"Cloud recording stored via {source} (time-based match)",
-        meeting_id=meeting.id,
-        recording_id=recording_id,
-        s3_key=s3_key,
-        duration=duration,
-        time_delta_seconds=abs((meeting.start_date - recording_start).total_seconds()),
-    )
-    return True
-
-
-async def _poll_cloud_recordings(cloud_recordings: List[FinishedRecordingResponse]):
-    """
-    Store cloud recordings missing from meeting table via polling.
-
-    Uses time-based matching via store_cloud_recording().
-    """
-    if not cloud_recordings:
-        return
-
-    stored_count = 0
-    for recording in cloud_recordings:
-        # Extract S3 key from recording (cloud recordings use s3key field)
-        s3_key = recording.s3key or (recording.s3.key if recording.s3 else None)
-        if not s3_key:
-            logger.warning(
-                "Cloud recording: missing S3 key",
-                recording_id=recording.id,
-                room_name=recording.room_name,
-            )
-            continue
-
-        stored = await store_cloud_recording(
-            recording_id=recording.id,
-            room_name=recording.room_name,
-            s3_key=s3_key,
-            duration=recording.duration,
-            start_ts=recording.start_ts,
-            source="polling",
-        )
-        if stored:
-            stored_count += 1
-
-    logger.info(
-        "Cloud recording polling complete",
-        total=len(cloud_recordings),
-        stored=stored_count,
-    )
-
-
-async def _poll_raw_tracks_recordings(
-    raw_tracks_recordings: List[FinishedRecordingResponse],
-    bucket_name: str,
-):
-    """Queue raw-tracks recordings missing from DB (existing logic)."""
-    if not raw_tracks_recordings:
-        return
-
-    recording_ids = [rec.id for rec in raw_tracks_recordings]
+    recording_ids = [rec.id for rec in finished_recordings]
    existing_recordings = await recordings_controller.get_by_ids(recording_ids)
    existing_ids = {rec.id for rec in existing_recordings}

    missing_recordings = [
-        rec for rec in raw_tracks_recordings if rec.id not in existing_ids
+        rec for rec in finished_recordings if rec.id not in existing_ids
    ]

    if not missing_recordings:
        logger.debug(
-            "All raw-tracks recordings already in DB",
-            api_count=len(raw_tracks_recordings),
+            "All recordings already in DB",
+            api_count=len(finished_recordings),
            existing_count=len(existing_recordings),
        )
        return

    logger.info(
-        "Found raw-tracks recordings missing from DB",
+        "Found recordings missing from DB",
        missing_count=len(missing_recordings),
-        total_api_count=len(raw_tracks_recordings),
+        total_api_count=len(finished_recordings),
        existing_count=len(existing_recordings),
    )

    for recording in missing_recordings:
        if not recording.tracks:
-            logger.warning(
-                "Finished raw-tracks recording has no tracks (no audio captured)",
-                recording_id=recording.id,
-                room_name=recording.room_name,
-            )
+            if recording.status == "finished":
+                logger.warning(
+                    "Finished recording has no tracks (no audio captured)",
+                    recording_id=recording.id,
+                    room_name=recording.room_name,
+                )
+            else:
+                logger.debug(
+                    "No tracks in recording yet",
+                    recording_id=recording.id,
+                    room_name=recording.room_name,
+                    status=recording.status,
+                )
            continue

        track_keys = [t.s3Key for t in recording.tracks if t.type == "audio"]

        if not track_keys:
            logger.warning(
-                "No audio tracks found in raw-tracks recording",
+                "No audio tracks found in recording (only video tracks)",
                recording_id=recording.id,
                room_name=recording.room_name,
                total_tracks=len(recording.tracks),
@@ -647,7 +432,7 @@ async def _poll_raw_tracks_recordings(
            continue

        logger.info(
-            "Queueing missing raw-tracks recording for processing",
+            "Queueing missing recording for processing",
            recording_id=recording.id,
            room_name=recording.room_name,
            track_count=len(track_keys),
@@ -658,7 +443,6 @@ async def _poll_raw_tracks_recordings(
            daily_room_name=recording.room_name,
            recording_id=recording.id,
            track_keys=track_keys,
-            recording_start_ts=recording.start_ts,
        )


@@ -1026,6 +810,7 @@ async def reprocess_failed_daily_recordings():
                )
                continue

+            # Fetch room to check use_hatchet flag
            room = None
            if meeting.room_id:
                room = await rooms_controller.get_by_id(meeting.room_id)
@@ -1049,43 +834,61 @@ async def reprocess_failed_daily_recordings():
                )
                continue

-            # Multitrack reprocessing always uses Hatchet (no Celery fallback)
-            if not transcript:
-                logger.warning(
-                    "No transcript for Hatchet reprocessing, skipping",
-                    recording_id=recording.id,
+            use_hatchet = settings.HATCHET_ENABLED and room and room.use_hatchet
+
+            if use_hatchet:
+                # Hatchet requires a transcript for workflow_run_id tracking
+                if not transcript:
+                    logger.warning(
+                        "No transcript for Hatchet reprocessing, skipping",
+                        recording_id=recording.id,
+                    )
+                    continue
+
+                workflow_id = await HatchetClientManager.start_workflow(
+                    workflow_name="DiarizationPipeline",
+                    input_data={
+                        "recording_id": recording.id,
+                        "tracks": [
+                            {"s3_key": k}
+                            for k in filter_cam_audio_tracks(recording.track_keys)
+                        ],
+                        "bucket_name": bucket_name,
+                        "transcript_id": transcript.id,
+                        "room_id": room.id if room else None,
+                    },
+                    additional_metadata={
+                        "transcript_id": transcript.id,
+                        "recording_id": recording.id,
+                        "reprocess": True,
+                    },
+                )
+                await transcripts_controller.update(
+                    transcript, {"workflow_run_id": workflow_id}
                )
-                continue

-            workflow_id = await HatchetClientManager.start_workflow(
-                workflow_name="DiarizationPipeline",
-                input_data={
-                    "recording_id": recording.id,
-                    "tracks": [
-                        {"s3_key": k}
-                        for k in filter_cam_audio_tracks(recording.track_keys)
-                    ],
-                    "bucket_name": bucket_name,
-                    "transcript_id": transcript.id,
-                    "room_id": room.id if room else None,
-                },
-                additional_metadata={
-                    "transcript_id": transcript.id,
-                    "recording_id": recording.id,
-                    "reprocess": True,
-                },
-            )
-            await transcripts_controller.update(
-                transcript, {"workflow_run_id": workflow_id}
-            )
+                logger.info(
+                    "Queued Daily recording for Hatchet reprocessing",
+                    recording_id=recording.id,
+                    workflow_id=workflow_id,
+                    room_name=meeting.room_name,
+                    track_count=len(recording.track_keys),
+                )
+            else:
+                logger.info(
+                    "Queueing Daily recording for Celery reprocessing",
+                    recording_id=recording.id,
+                    room_name=meeting.room_name,
+                    track_count=len(recording.track_keys),
+                    transcript_status=transcript.status if transcript else None,
+                )

-            logger.info(
-                "Queued Daily recording for Hatchet reprocessing",
-                recording_id=recording.id,
-                workflow_id=workflow_id,
-                room_name=meeting.room_name,
-                track_count=len(recording.track_keys),
-            )
+                process_multitrack_recording.delay(
+                    bucket_name=bucket_name,
+                    daily_room_name=meeting.room_name,
+                    recording_id=recording.id,
+                    track_keys=recording.track_keys,
+                )

            reprocessed_count += 1

--- a/server/reflector/ws_events.py
+++ b/server/reflector/ws_events.py
@@ -1,188 +0,0 @@
-"""Typed WebSocket event models.
-
-Defines Pydantic models with Literal discriminators for all WS events.
-Exposed via stub GET endpoints so ``pnpm openapi`` generates TS discriminated unions.
-"""
-
-from typing import Annotated, Literal, Union
-
-from pydantic import BaseModel, Discriminator
-
-from reflector.db.transcripts import (
-    TranscriptActionItems,
-    TranscriptDuration,
-    TranscriptFinalLongSummary,
-    TranscriptFinalShortSummary,
-    TranscriptFinalTitle,
-    TranscriptStatus,
-    TranscriptText,
-    TranscriptWaveform,
-)
-from reflector.utils.string import NonEmptyString
-from reflector.views.transcripts import GetTranscriptTopic
-
-# ---------------------------------------------------------------------------
-# Transcript-level event name literal
-# ---------------------------------------------------------------------------
-
-TranscriptEventName = Literal[
-    "TRANSCRIPT",
-    "TOPIC",
-    "STATUS",
-    "FINAL_TITLE",
-    "FINAL_LONG_SUMMARY",
-    "FINAL_SHORT_SUMMARY",
-    "ACTION_ITEMS",
-    "DURATION",
-    "WAVEFORM",
-]
-
-# ---------------------------------------------------------------------------
-# Transcript-level WS event wrappers
-# ---------------------------------------------------------------------------
-
-
-class TranscriptWsTranscript(BaseModel):
-    event: Literal["TRANSCRIPT"] = "TRANSCRIPT"
-    data: TranscriptText
-
-
-class TranscriptWsTopic(BaseModel):
-    event: Literal["TOPIC"] = "TOPIC"
-    data: GetTranscriptTopic
-
-
-class TranscriptWsStatusData(BaseModel):
-    value: TranscriptStatus
-
-
-class TranscriptWsStatus(BaseModel):
-    event: Literal["STATUS"] = "STATUS"
-    data: TranscriptWsStatusData
-
-
-class TranscriptWsFinalTitle(BaseModel):
-    event: Literal["FINAL_TITLE"] = "FINAL_TITLE"
-    data: TranscriptFinalTitle
-
-
-class TranscriptWsFinalLongSummary(BaseModel):
-    event: Literal["FINAL_LONG_SUMMARY"] = "FINAL_LONG_SUMMARY"
-    data: TranscriptFinalLongSummary
-
-
-class TranscriptWsFinalShortSummary(BaseModel):
-    event: Literal["FINAL_SHORT_SUMMARY"] = "FINAL_SHORT_SUMMARY"
-    data: TranscriptFinalShortSummary
-
-
-class TranscriptWsActionItems(BaseModel):
-    event: Literal["ACTION_ITEMS"] = "ACTION_ITEMS"
-    data: TranscriptActionItems
-
-
-class TranscriptWsDuration(BaseModel):
-    event: Literal["DURATION"] = "DURATION"
-    data: TranscriptDuration
-
-
-class TranscriptWsWaveform(BaseModel):
-    event: Literal["WAVEFORM"] = "WAVEFORM"
-    data: TranscriptWaveform
-
-
-TranscriptWsEvent = Annotated[
-    Union[
-        TranscriptWsTranscript,
-        TranscriptWsTopic,
-        TranscriptWsStatus,
-        TranscriptWsFinalTitle,
-        TranscriptWsFinalLongSummary,
-        TranscriptWsFinalShortSummary,
-        TranscriptWsActionItems,
-        TranscriptWsDuration,
-        TranscriptWsWaveform,
-    ],
-    Discriminator("event"),
-]
-
-# ---------------------------------------------------------------------------
-# User-level event name literal
-# ---------------------------------------------------------------------------
-
-UserEventName = Literal[
-    "TRANSCRIPT_CREATED",
-    "TRANSCRIPT_DELETED",
-    "TRANSCRIPT_STATUS",
-    "TRANSCRIPT_FINAL_TITLE",
-    "TRANSCRIPT_DURATION",
-]
-
-# ---------------------------------------------------------------------------
-# User-level WS event data models
-# ---------------------------------------------------------------------------
-
-
-class UserTranscriptCreatedData(BaseModel):
-    id: NonEmptyString
-
-
-class UserTranscriptDeletedData(BaseModel):
-    id: NonEmptyString
-
-
-class UserTranscriptStatusData(BaseModel):
-    id: NonEmptyString
-    value: TranscriptStatus
-
-
-class UserTranscriptFinalTitleData(BaseModel):
-    id: NonEmptyString
-    title: NonEmptyString
-
-
-class UserTranscriptDurationData(BaseModel):
-    id: NonEmptyString
-    duration: float
-
-
-# ---------------------------------------------------------------------------
-# User-level WS event wrappers
-# ---------------------------------------------------------------------------
-
-
-class UserWsTranscriptCreated(BaseModel):
-    event: Literal["TRANSCRIPT_CREATED"] = "TRANSCRIPT_CREATED"
-    data: UserTranscriptCreatedData
-
-
-class UserWsTranscriptDeleted(BaseModel):
-    event: Literal["TRANSCRIPT_DELETED"] = "TRANSCRIPT_DELETED"
-    data: UserTranscriptDeletedData
-
-
-class UserWsTranscriptStatus(BaseModel):
-    event: Literal["TRANSCRIPT_STATUS"] = "TRANSCRIPT_STATUS"
-    data: UserTranscriptStatusData
-
-
-class UserWsTranscriptFinalTitle(BaseModel):
-    event: Literal["TRANSCRIPT_FINAL_TITLE"] = "TRANSCRIPT_FINAL_TITLE"
-    data: UserTranscriptFinalTitleData
-
-
-class UserWsTranscriptDuration(BaseModel):
-    event: Literal["TRANSCRIPT_DURATION"] = "TRANSCRIPT_DURATION"
-    data: UserTranscriptDurationData
-
-
-UserWsEvent = Annotated[
-    Union[
-        UserWsTranscriptCreated,
-        UserWsTranscriptDeleted,
-        UserWsTranscriptStatus,
-        UserWsTranscriptFinalTitle,
-        UserWsTranscriptDuration,
-    ],
-    Discriminator("event"),
-]
--- a/server/reflector/ws_manager.py
+++ b/server/reflector/ws_manager.py
@@ -11,6 +11,7 @@ broadcast messages to all connected websockets.

 import asyncio
 import json
+import threading

 import redis.asyncio as redis
 from fastapi import WebSocket
@@ -48,15 +49,7 @@ class RedisPubSubManager:
        if not self.redis_connection:
            await self.connect()
        message = json.dumps(message)
-        try:
-            await self.redis_connection.publish(room_id, message)
-        except RuntimeError:
-            # Celery workers run each task in a new event loop (asyncio.run),
-            # which closes the previous loop. Cached Redis connection is dead.
-            # Reconnect on the current loop and retry.
-            self.redis_connection = None
-            await self.connect()
-            await self.redis_connection.publish(room_id, message)
+        await self.redis_connection.publish(room_id, message)

    async def subscribe(self, room_id: str) -> redis.Redis:
        await self.pubsub.subscribe(room_id)
@@ -105,7 +98,6 @@ class WebsocketManager:

    async def _pubsub_data_reader(self, pubsub_subscriber):
        while True:
-            # timeout=1.0 prevents tight CPU loop when no messages available
            message = await pubsub_subscriber.get_message(
                ignore_subscribe_messages=True
            )
@@ -117,38 +109,29 @@ class WebsocketManager:
                    await socket.send_json(data)


-# Process-global singleton to ensure only one WebsocketManager instance exists.
-# Multiple instances would cause resource leaks and CPU issues.
-_ws_manager: WebsocketManager | None = None
-
-
 def get_ws_manager() -> WebsocketManager:
    """
-    Returns the global WebsocketManager singleton.
+    Returns the WebsocketManager instance for managing websockets.

-    Creates instance on first call, subsequent calls return cached instance.
-    Thread-safe via GIL. Concurrent initialization may create duplicate
-    instances but last write wins (acceptable for this use case).
+    This function initializes and returns the WebsocketManager instance,
+    which is responsible for managing websockets and handling websocket
+    connections.

    Returns:
-        WebsocketManager: The global WebsocketManager instance.
+        WebsocketManager: The initialized WebsocketManager instance.
+
+    Raises:
+        ImportError: If the 'reflector.settings' module cannot be imported.
+        RedisConnectionError: If there is an error connecting to the Redis server.
    """
-    global _ws_manager
+    local = threading.local()
+    if hasattr(local, "ws_manager"):
+        return local.ws_manager

-    if _ws_manager is not None:
-        return _ws_manager
-
-    # No lock needed - GIL makes this safe enough
-    # Worst case: race creates two instances, last assignment wins
    pubsub_client = RedisPubSubManager(
        host=settings.REDIS_HOST,
        port=settings.REDIS_PORT,
    )
-    _ws_manager = WebsocketManager(pubsub_client=pubsub_client)
-    return _ws_manager
-
-
-def reset_ws_manager() -> None:
-    """Reset singleton for testing. DO NOT use in production."""
-    global _ws_manager
-    _ws_manager = None
+    ws_manager = WebsocketManager(pubsub_client=pubsub_client)
+    local.ws_manager = ws_manager
+    return ws_manager
--- a/server/runserver.sh
+++ b/server/runserver.sh
@@ -7,10 +7,8 @@ elif [ "${ENTRYPOINT}" = "worker" ]; then
    uv run celery -A reflector.worker.app worker --loglevel=info
 elif [ "${ENTRYPOINT}" = "beat" ]; then
    uv run celery -A reflector.worker.app beat --loglevel=info
-elif [ "${ENTRYPOINT}" = "hatchet-worker-cpu" ]; then
-    uv run python -m reflector.hatchet.run_workers_cpu
-elif [ "${ENTRYPOINT}" = "hatchet-worker-llm" ]; then
-    uv run python -m reflector.hatchet.run_workers_llm
+elif [ "${ENTRYPOINT}" = "hatchet-worker" ]; then
+    uv run python -m reflector.hatchet.run_workers
 else
    echo "Unknown command"
 fi
--- a/server/scripts/recreate_daily_webhook.py
+++ b/server/scripts/recreate_daily_webhook.py
@@ -15,7 +15,8 @@ from reflector.settings import settings

 async def setup_webhook(webhook_url: str):
    """
-    Create Daily.co webhook. Deletes any existing webhooks first, then creates the new one.
+    Create or update Daily.co webhook for this environment using dailyco_api module.
+    Uses DAILY_WEBHOOK_UUID to identify existing webhook.
    """
    if not settings.DAILY_API_KEY:
        print("Error: DAILY_API_KEY not set")
@@ -34,37 +35,79 @@ async def setup_webhook(webhook_url: str):
    ]

    async with DailyApiClient(api_key=settings.DAILY_API_KEY) as client:
-        webhooks = await client.list_webhooks()
-        for wh in webhooks:
-            await client.delete_webhook(wh.uuid)
-            print(f"Deleted webhook {wh.uuid}")
+        webhook_uuid = settings.DAILY_WEBHOOK_UUID

-        request = CreateWebhookRequest(
-            url=webhook_url,
-            eventTypes=event_types,
-            hmac=settings.DAILY_WEBHOOK_SECRET,
-        )
-        result = await client.create_webhook(request)
-        webhook_uuid = result.uuid
+        if webhook_uuid:
+            print(f"Updating existing webhook {webhook_uuid}...")
+            try:
+                # Note: Daily.co doesn't support PATCH well, so we delete + recreate
+                await client.delete_webhook(webhook_uuid)
+                print(f"Deleted old webhook {webhook_uuid}")

-        print(f"✓ Created webhook {webhook_uuid} (state: {result.state})")
-        print(f"  URL: {result.url}")
+                request = CreateWebhookRequest(
+                    url=webhook_url,
+                    eventTypes=event_types,
+                    hmac=settings.DAILY_WEBHOOK_SECRET,
+                )
+                result = await client.create_webhook(request)

-        env_file = Path(__file__).parent.parent / ".env"
-        if env_file.exists():
-            lines = env_file.read_text().splitlines()
-            updated = False
-            for i, line in enumerate(lines):
-                if line.startswith("DAILY_WEBHOOK_UUID="):
-                    lines[i] = f"DAILY_WEBHOOK_UUID={webhook_uuid}"
-                    updated = True
-                    break
-            if not updated:
-                lines.append(f"DAILY_WEBHOOK_UUID={webhook_uuid}")
-            env_file.write_text("\n".join(lines) + "\n")
-            print("✓ Saved DAILY_WEBHOOK_UUID to .env")
+                print(
+                    f"✓ Created replacement webhook {result.uuid} (state: {result.state})"
+                )
+                print(f"  URL: {result.url}")

-        return 0
+                webhook_uuid = result.uuid
+
+            except Exception as e:
+                if hasattr(e, "response") and e.response.status_code == 404:
+                    print(f"Webhook {webhook_uuid} not found, creating new one...")
+                    webhook_uuid = None  # Fall through to creation
+                else:
+                    print(f"Error updating webhook: {e}")
+                    return 1
+
+        if not webhook_uuid:
+            print("Creating new webhook...")
+            request = CreateWebhookRequest(
+                url=webhook_url,
+                eventTypes=event_types,
+                hmac=settings.DAILY_WEBHOOK_SECRET,
+            )
+            result = await client.create_webhook(request)
+            webhook_uuid = result.uuid
+
+            print(f"✓ Created webhook {webhook_uuid} (state: {result.state})")
+            print(f"  URL: {result.url}")
+            print()
+            print("=" * 60)
+            print("IMPORTANT: Add this to your environment variables:")
+            print("=" * 60)
+            print(f"DAILY_WEBHOOK_UUID: {webhook_uuid}")
+            print("=" * 60)
+            print()
+
+            # Try to write UUID to .env file
+            env_file = Path(__file__).parent.parent / ".env"
+            if env_file.exists():
+                lines = env_file.read_text().splitlines()
+                updated = False
+
+                # Update existing DAILY_WEBHOOK_UUID line or add it
+                for i, line in enumerate(lines):
+                    if line.startswith("DAILY_WEBHOOK_UUID="):
+                        lines[i] = f"DAILY_WEBHOOK_UUID={webhook_uuid}"
+                        updated = True
+                        break
+
+                if not updated:
+                    lines.append(f"DAILY_WEBHOOK_UUID={webhook_uuid}")
+
+                env_file.write_text("\n".join(lines) + "\n")
+                print(f"✓ Also saved to local .env file")
+            else:
+                print(f"⚠ Local .env file not found - please add manually")
+
+            return 0


 if __name__ == "__main__":
@@ -74,7 +117,11 @@ if __name__ == "__main__":
            "Example: python recreate_daily_webhook.py https://example.com/v1/daily/webhook"
        )
        print()
-        print("Deletes all existing webhooks, then creates a new one.")
+        print("Behavior:")
+        print("  - If DAILY_WEBHOOK_UUID set: Deletes old webhook, creates new one")
+        print(
+            "  - If DAILY_WEBHOOK_UUID empty: Creates new webhook, saves UUID to .env"
+        )
        sys.exit(1)

    sys.exit(asyncio.run(setup_webhook(sys.argv[1])))
--- a/server/tests/conftest.py
+++ b/server/tests/conftest.py
@@ -1,10 +1,11 @@
 import os
 from contextlib import asynccontextmanager
+from tempfile import NamedTemporaryFile
 from unittest.mock import patch

 import pytest

-from reflector.schemas.platform import DAILY_PLATFORM, WHEREBY_PLATFORM
+from reflector.schemas.platform import WHEREBY_PLATFORM


@pytest.fixture(scope="session", autouse=True)
@@ -14,7 +15,6 @@ def register_mock_platform():
    from reflector.video_platforms.registry import register_platform

    register_platform(WHEREBY_PLATFORM, MockPlatformClient)
-    register_platform(DAILY_PLATFORM, MockPlatformClient)
    yield


@@ -333,14 +333,11 @@ def celery_enable_logging():

@pytest.fixture(scope="session")
 def celery_config():
-    redis_host = os.environ.get("REDIS_HOST", "localhost")
-    redis_port = os.environ.get("REDIS_PORT", "6379")
-    # Use db 2 to avoid conflicts with main app
-    redis_url = f"redis://{redis_host}:{redis_port}/2"
-    yield {
-        "broker_url": redis_url,
-        "result_backend": redis_url,
-    }
+    with NamedTemporaryFile() as f:
+        yield {
+            "broker_url": "memory://",
+            "result_backend": f"db+sqlite:///{f.name}",
+        }


@pytest.fixture(scope="session")
@@ -373,12 +370,9 @@ async def ws_manager_in_memory(monkeypatch):
        def __init__(self, queue: asyncio.Queue):
            self.queue = queue

-        async def get_message(
-            self, ignore_subscribe_messages: bool = True, timeout: float | None = None
-        ):
-            wait_timeout = timeout if timeout is not None else 0.05
+        async def get_message(self, ignore_subscribe_messages: bool = True):
            try:
-                return await asyncio.wait_for(self.queue.get(), timeout=wait_timeout)
+                return await asyncio.wait_for(self.queue.get(), timeout=0.05)
            except Exception:
                return None

--- a/server/tests/test_dailyco_instance_id.py
+++ b/server/tests/test_dailyco_instance_id.py
@@ -1,147 +0,0 @@
-"""
-Tests for Daily.co instanceId generation.
-
-Verifies deterministic behavior and frontend/backend consistency.
-"""
-
-import pytest
-
-from reflector.dailyco_api.instance_id import (
-    RAW_TRACKS_NAMESPACE,
-    generate_cloud_instance_id,
-    generate_raw_tracks_instance_id,
-)
-
-
-class TestInstanceIdDeterminism:
-    """Test deterministic generation of instanceIds."""
-
-    def test_cloud_instance_id_is_meeting_id(self):
-        """Cloud instanceId is meeting ID directly (implicitly tests determinism)."""
-        meeting_id = "550e8400-e29b-41d4-a716-446655440000"
-        result1 = generate_cloud_instance_id(meeting_id)
-        result2 = generate_cloud_instance_id(meeting_id)
-        assert str(result1) == meeting_id
-        assert result1 == result2
-
-    def test_raw_tracks_instance_id_deterministic(self):
-        """Raw-tracks instanceId generation is deterministic."""
-        meeting_id = "550e8400-e29b-41d4-a716-446655440000"
-        result1 = generate_raw_tracks_instance_id(meeting_id)
-        result2 = generate_raw_tracks_instance_id(meeting_id)
-        assert result1 == result2
-
-    def test_raw_tracks_different_from_cloud(self):
-        """Raw-tracks instanceId differs from cloud instanceId."""
-        meeting_id = "550e8400-e29b-41d4-a716-446655440000"
-        cloud_id = generate_cloud_instance_id(meeting_id)
-        raw_tracks_id = generate_raw_tracks_instance_id(meeting_id)
-        assert cloud_id != raw_tracks_id
-
-    def test_different_meetings_different_instance_ids(self):
-        """Different meetings generate different instanceIds."""
-        meeting_id1 = "550e8400-e29b-41d4-a716-446655440000"
-        meeting_id2 = "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
-
-        cloud1 = generate_cloud_instance_id(meeting_id1)
-        cloud2 = generate_cloud_instance_id(meeting_id2)
-        assert cloud1 != cloud2
-
-        raw1 = generate_raw_tracks_instance_id(meeting_id1)
-        raw2 = generate_raw_tracks_instance_id(meeting_id2)
-        assert raw1 != raw2
-
-
-class TestFrontendBackendConsistency:
-    """Test that backend matches frontend logic."""
-
-    def test_namespace_matches_frontend(self):
-        """Namespace UUID matches frontend RAW_TRACKS_NAMESPACE constant."""
-        # From www/app/[roomName]/components/DailyRoom.tsx
-        frontend_namespace = "a1b2c3d4-e5f6-7890-abcd-ef1234567890"
-        assert str(RAW_TRACKS_NAMESPACE) == frontend_namespace
-
-    def test_raw_tracks_generation_matches_frontend_logic(self):
-        """Backend UUIDv5 generation matches frontend uuidv5() call."""
-        # Example meeting ID
-        meeting_id = "550e8400-e29b-41d4-a716-446655440000"
-
-        # Backend result
-        backend_result = generate_raw_tracks_instance_id(meeting_id)
-
-        # Expected result from frontend: uuidv5(meeting.id, RAW_TRACKS_NAMESPACE)
-        # Python uuid5 uses (namespace, name) argument order
-        # JavaScript uuid.v5(name, namespace) - same args, different order
-        # Frontend: uuidv5(meeting.id, "a1b2c3d4-e5f6-7890-abcd-ef1234567890")
-        # Backend: uuid5(UUID("a1b2c3d4-e5f6-7890-abcd-ef1234567890"), meeting.id)
-
-        # Verify it's a valid UUID (will raise if not)
-        assert len(str(backend_result)) == 36
-        assert backend_result.version == 5
-
-
-class TestEdgeCases:
-    """Test edge cases and error conditions."""
-
-    def test_invalid_uuid_format_raises(self):
-        """Invalid UUID format raises ValueError."""
-        with pytest.raises(ValueError):
-            generate_cloud_instance_id("not-a-uuid")
-
-    def test_lowercase_uuid_normalized_for_cloud(self):
-        """Cloud instanceId: lowercase/uppercase UUIDs produce same result."""
-        meeting_id_lower = "550e8400-e29b-41d4-a716-446655440000"
-        meeting_id_upper = "550E8400-E29B-41D4-A716-446655440000"
-
-        cloud_lower = generate_cloud_instance_id(meeting_id_lower)
-        cloud_upper = generate_cloud_instance_id(meeting_id_upper)
-        assert cloud_lower == cloud_upper
-
-    def test_uuid5_is_case_sensitive_warning(self):
-        """
-        Documents uuid5 case sensitivity - different case UUIDs produce different hashes.
-
-        Not a problem: meeting.id always lowercase from DB and API.
-        Frontend generates raw-tracks instanceId from lowercase meeting.id.
-        Backend receives lowercase meeting_id when matching.
-
-        This test documents the behavior, not a requirement.
-        """
-        meeting_id_lower = "550e8400-e29b-41d4-a716-446655440000"
-        meeting_id_upper = "550E8400-E29B-41D4-A716-446655440000"
-
-        raw_lower = generate_raw_tracks_instance_id(meeting_id_lower)
-        raw_upper = generate_raw_tracks_instance_id(meeting_id_upper)
-        assert raw_lower != raw_upper
-
-
-class TestMtgSessionIdVsInstanceId:
-    """
-    Documents that Daily.co's mtgSessionId differs from our instanceId.
-
-    Why this matters: We investigated using mtgSessionId for matching but discovered
-    it's Daily.co-generated and unrelated to instanceId we send. This test documents
-    that finding so we don't investigate it again.
-
-    Production data from 2026-01-13:
-    - Meeting ID:            4ad503b6-8189-4910-a8f7-68cdd1b7f990
-    - Cloud instanceId:      4ad503b6-8189-4910-a8f7-68cdd1b7f990 (same as meeting ID)
-    - Raw-tracks instanceId: 784b3af3-c7dd-57f0-ac54-2ee91c6927cb (UUIDv5 derived)
-    - Recording mtgSessionId: f25a2e09-740f-4932-9c0d-b1bebaa669c6 (different!)
-
-    Conclusion: Cannot use mtgSessionId for recording-to-meeting matching.
-    """
-
-    def test_mtg_session_id_differs_from_our_instance_ids(self):
-        """mtgSessionId (Daily.co) != instanceId (ours) for both cloud and raw-tracks."""
-        meeting_id = "4ad503b6-8189-4910-a8f7-68cdd1b7f990"
-        expected_raw_tracks_id = "784b3af3-c7dd-57f0-ac54-2ee91c6927cb"
-        mtg_session_id = "f25a2e09-740f-4932-9c0d-b1bebaa669c6"
-
-        cloud_instance_id = generate_cloud_instance_id(meeting_id)
-        raw_tracks_instance_id = generate_raw_tracks_instance_id(meeting_id)
-
-        assert str(cloud_instance_id) == meeting_id
-        assert str(raw_tracks_instance_id) == expected_raw_tracks_id
-        assert str(cloud_instance_id) != mtg_session_id
-        assert str(raw_tracks_instance_id) != mtg_session_id
--- a/server/tests/test_hatchet_dispatch.py
+++ b/server/tests/test_hatchet_dispatch.py
@@ -2,9 +2,10 @@
 Tests for Hatchet workflow dispatch and routing logic.

 These tests verify:
-1. Hatchet workflow validation and replay logic
-2. Force flag to cancel and restart workflows
-3. Validation prevents concurrent workflows
+1. Routing to Hatchet when HATCHET_ENABLED=True
+2. Replay logic for failed workflows
+3. Force flag to cancel and restart
+4. Validation prevents concurrent workflows
 """

 from unittest.mock import AsyncMock, patch
@@ -33,22 +34,25 @@ async def test_hatchet_validation_blocks_running_workflow():
        workflow_run_id="running-workflow-123",
    )

-    with patch(
-        "reflector.services.transcript_process.HatchetClientManager"
-    ) as mock_hatchet:
-        mock_hatchet.get_workflow_run_status = AsyncMock(
-            return_value=V1TaskStatus.RUNNING
-        )
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = True

        with patch(
-            "reflector.services.transcript_process.task_is_scheduled_or_active"
-        ) as mock_celery_check:
-            mock_celery_check.return_value = False
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet:
+            mock_hatchet.get_workflow_run_status = AsyncMock(
+                return_value=V1TaskStatus.RUNNING
+            )

-            result = await validate_transcript_for_processing(mock_transcript)
+            with patch(
+                "reflector.services.transcript_process.task_is_scheduled_or_active"
+            ) as mock_celery_check:
+                mock_celery_check.return_value = False

-        assert isinstance(result, ValidationAlreadyScheduled)
-        assert "running" in result.detail.lower()
+                result = await validate_transcript_for_processing(mock_transcript)
+
+            assert isinstance(result, ValidationAlreadyScheduled)
+            assert "running" in result.detail.lower()


@pytest.mark.usefixtures("setup_database")
@@ -68,21 +72,24 @@ async def test_hatchet_validation_blocks_queued_workflow():
        workflow_run_id="queued-workflow-123",
    )

-    with patch(
-        "reflector.services.transcript_process.HatchetClientManager"
-    ) as mock_hatchet:
-        mock_hatchet.get_workflow_run_status = AsyncMock(
-            return_value=V1TaskStatus.QUEUED
-        )
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = True

        with patch(
-            "reflector.services.transcript_process.task_is_scheduled_or_active"
-        ) as mock_celery_check:
-            mock_celery_check.return_value = False
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet:
+            mock_hatchet.get_workflow_run_status = AsyncMock(
+                return_value=V1TaskStatus.QUEUED
+            )

-            result = await validate_transcript_for_processing(mock_transcript)
+            with patch(
+                "reflector.services.transcript_process.task_is_scheduled_or_active"
+            ) as mock_celery_check:
+                mock_celery_check.return_value = False

-        assert isinstance(result, ValidationAlreadyScheduled)
+                result = await validate_transcript_for_processing(mock_transcript)
+
+            assert isinstance(result, ValidationAlreadyScheduled)


@pytest.mark.usefixtures("setup_database")
@@ -103,22 +110,25 @@ async def test_hatchet_validation_allows_failed_workflow():
        recording_id="test-recording-id",
    )

-    with patch(
-        "reflector.services.transcript_process.HatchetClientManager"
-    ) as mock_hatchet:
-        mock_hatchet.get_workflow_run_status = AsyncMock(
-            return_value=V1TaskStatus.FAILED
-        )
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = True

        with patch(
-            "reflector.services.transcript_process.task_is_scheduled_or_active"
-        ) as mock_celery_check:
-            mock_celery_check.return_value = False
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet:
+            mock_hatchet.get_workflow_run_status = AsyncMock(
+                return_value=V1TaskStatus.FAILED
+            )

-            result = await validate_transcript_for_processing(mock_transcript)
+            with patch(
+                "reflector.services.transcript_process.task_is_scheduled_or_active"
+            ) as mock_celery_check:
+                mock_celery_check.return_value = False

-        assert isinstance(result, ValidationOk)
-        assert result.transcript_id == "test-transcript-id"
+                result = await validate_transcript_for_processing(mock_transcript)
+
+            assert isinstance(result, ValidationOk)
+            assert result.transcript_id == "test-transcript-id"


@pytest.mark.usefixtures("setup_database")
@@ -139,21 +149,24 @@ async def test_hatchet_validation_allows_completed_workflow():
        recording_id="test-recording-id",
    )

-    with patch(
-        "reflector.services.transcript_process.HatchetClientManager"
-    ) as mock_hatchet:
-        mock_hatchet.get_workflow_run_status = AsyncMock(
-            return_value=V1TaskStatus.COMPLETED
-        )
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = True

        with patch(
-            "reflector.services.transcript_process.task_is_scheduled_or_active"
-        ) as mock_celery_check:
-            mock_celery_check.return_value = False
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet:
+            mock_hatchet.get_workflow_run_status = AsyncMock(
+                return_value=V1TaskStatus.COMPLETED
+            )

-            result = await validate_transcript_for_processing(mock_transcript)
+            with patch(
+                "reflector.services.transcript_process.task_is_scheduled_or_active"
+            ) as mock_celery_check:
+                mock_celery_check.return_value = False

-        assert isinstance(result, ValidationOk)
+                result = await validate_transcript_for_processing(mock_transcript)
+
+            assert isinstance(result, ValidationOk)


@pytest.mark.usefixtures("setup_database")
@@ -174,23 +187,26 @@ async def test_hatchet_validation_allows_when_status_check_fails():
        recording_id="test-recording-id",
    )

-    with patch(
-        "reflector.services.transcript_process.HatchetClientManager"
-    ) as mock_hatchet:
-        # Status check fails (workflow might be deleted)
-        mock_hatchet.get_workflow_run_status = AsyncMock(
-            side_effect=ApiException("Workflow not found")
-        )
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = True

        with patch(
-            "reflector.services.transcript_process.task_is_scheduled_or_active"
-        ) as mock_celery_check:
-            mock_celery_check.return_value = False
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet:
+            # Status check fails (workflow might be deleted)
+            mock_hatchet.get_workflow_run_status = AsyncMock(
+                side_effect=ApiException("Workflow not found")
+            )

-            result = await validate_transcript_for_processing(mock_transcript)
+            with patch(
+                "reflector.services.transcript_process.task_is_scheduled_or_active"
+            ) as mock_celery_check:
+                mock_celery_check.return_value = False

-        # Should allow processing when we can't get status
-        assert isinstance(result, ValidationOk)
+                result = await validate_transcript_for_processing(mock_transcript)
+
+            # Should allow processing when we can't get status
+            assert isinstance(result, ValidationOk)


@pytest.mark.usefixtures("setup_database")
@@ -211,11 +227,47 @@ async def test_hatchet_validation_skipped_when_no_workflow_id():
        recording_id="test-recording-id",
    )

-    with patch(
-        "reflector.services.transcript_process.HatchetClientManager"
-    ) as mock_hatchet:
-        # Should not be called
-        mock_hatchet.get_workflow_run_status = AsyncMock()
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = True
+
+        with patch(
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet:
+            # Should not be called
+            mock_hatchet.get_workflow_run_status = AsyncMock()
+
+            with patch(
+                "reflector.services.transcript_process.task_is_scheduled_or_active"
+            ) as mock_celery_check:
+                mock_celery_check.return_value = False
+
+                result = await validate_transcript_for_processing(mock_transcript)
+
+            # Should not check Hatchet status
+            mock_hatchet.get_workflow_run_status.assert_not_called()
+            assert isinstance(result, ValidationOk)
+
+
+@pytest.mark.usefixtures("setup_database")
+@pytest.mark.asyncio
+async def test_hatchet_validation_skipped_when_disabled():
+    """Test that Hatchet validation is skipped when HATCHET_ENABLED is False."""
+    from reflector.services.transcript_process import (
+        ValidationOk,
+        validate_transcript_for_processing,
+    )
+
+    mock_transcript = Transcript(
+        id="test-transcript-id",
+        name="Test",
+        status="uploaded",
+        source_kind="room",
+        workflow_run_id="some-workflow-123",
+        recording_id="test-recording-id",
+    )
+
+    with patch("reflector.services.transcript_process.settings") as mock_settings:
+        mock_settings.HATCHET_ENABLED = False  # Hatchet disabled

        with patch(
            "reflector.services.transcript_process.task_is_scheduled_or_active"
@@ -224,8 +276,7 @@ async def test_hatchet_validation_skipped_when_no_workflow_id():

            result = await validate_transcript_for_processing(mock_transcript)

-        # Should not check Hatchet status
-        mock_hatchet.get_workflow_run_status.assert_not_called()
+        # Should not check Hatchet at all
        assert isinstance(result, ValidationOk)


@@ -255,7 +306,7 @@ async def test_validation_locked_transcript():
@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
 async def test_validation_idle_transcript():
-    """Test that validation rejects idle transcripts without recording (file upload not ready)."""
+    """Test that validation rejects idle transcripts (not ready)."""
    from reflector.services.transcript_process import (
        ValidationNotReady,
        validate_transcript_for_processing,
@@ -274,34 +325,6 @@ async def test_validation_idle_transcript():
    assert "not ready" in result.detail.lower()


-@pytest.mark.usefixtures("setup_database")
-@pytest.mark.asyncio
-async def test_validation_idle_transcript_with_recording_allowed():
-    """Test that validation allows idle transcripts with recording_id (multitrack ready/retry)."""
-    from reflector.services.transcript_process import (
-        ValidationOk,
-        validate_transcript_for_processing,
-    )
-
-    mock_transcript = Transcript(
-        id="test-transcript-id",
-        name="Test",
-        status="idle",
-        source_kind="room",
-        recording_id="test-recording-id",
-    )
-
-    with patch(
-        "reflector.services.transcript_process.task_is_scheduled_or_active"
-    ) as mock_celery_check:
-        mock_celery_check.return_value = False
-
-        result = await validate_transcript_for_processing(mock_transcript)
-
-    assert isinstance(result, ValidationOk)
-    assert result.recording_id == "test-recording-id"
-
-
@pytest.mark.usefixtures("setup_database")
@pytest.mark.asyncio
 async def test_prepare_multitrack_config():
--- a/server/tests/test_ics_sync.py
+++ b/server/tests/test_ics_sync.py
@@ -189,17 +189,14 @@ async def test_ics_sync_service_sync_room_calendar():
        assert events[0].ics_uid == "sync-event-1"
        assert events[0].title == "Sync Test Meeting"

-        # Second sync with same content (calendar unchanged, but sync always runs)
+        # Second sync with same content (should be unchanged)
        # Refresh room to get updated etag and force sync by setting old sync time
        room = await rooms_controller.get_by_id(room.id)
        await rooms_controller.update(
            room, {"ics_last_sync": datetime.now(timezone.utc) - timedelta(minutes=10)}
        )
        result = await sync_service.sync_room_calendar(room)
-        assert result["status"] == "success"
-        assert result["events_created"] == 0
-        assert result["events_updated"] == 0
-        assert result["events_deleted"] == 0
+        assert result["status"] == "unchanged"

        # Third sync with updated event
        event["summary"] = "Updated Meeting Title"
@@ -291,43 +288,3 @@ async def test_ics_sync_service_error_handling():
        result = await sync_service.sync_room_calendar(room)
        assert result["status"] == "error"
        assert "Network error" in result["error"]
-
-
-@pytest.mark.asyncio
-async def test_event_data_changed_exhaustiveness():
-    """Test that _event_data_changed compares all EventData fields (except ics_uid).
-
-    This test ensures programmers don't forget to update the comparison logic
-    when adding new fields to EventData/CalendarEvent.
-    """
-    from reflector.services.ics_sync import EventData
-
-    sync_service = ICSSyncService()
-
-    from reflector.db.calendar_events import CalendarEvent
-
-    now = datetime.now(timezone.utc)
-    event_data: EventData = {
-        "ics_uid": "test-123",
-        "title": "Test",
-        "description": "Desc",
-        "location": "Loc",
-        "start_time": now,
-        "end_time": now + timedelta(hours=1),
-        "attendees": [],
-        "ics_raw_data": "raw",
-    }
-
-    existing = CalendarEvent(
-        room_id="room1",
-        **event_data,
-    )
-
-    # Will raise RuntimeError if fields are missing from comparison
-    result = sync_service._event_data_changed(existing, event_data)
-    assert result is False
-
-    modified_data = event_data.copy()
-    modified_data["title"] = "Changed Title"
-    result = sync_service._event_data_changed(existing, modified_data)
-    assert result is True
--- a/server/tests/test_storage.py
+++ b/server/tests/test_storage.py
@@ -319,51 +319,3 @@ def test_aws_storage_constructor_rejects_mixed_auth():
            aws_secret_access_key="test-secret",
            aws_role_arn="arn:aws:iam::123456789012:role/test-role",
        )
-
-
-@pytest.mark.asyncio
-async def test_aws_storage_custom_endpoint_url():
-    """Test that custom endpoint_url configures path-style addressing and passes endpoint to client."""
-    storage = AwsStorage(
-        aws_bucket_name="reflector-media",
-        aws_region="garage",
-        aws_access_key_id="GKtest",
-        aws_secret_access_key="secret",
-        aws_endpoint_url="http://garage:3900",
-    )
-    assert storage._endpoint_url == "http://garage:3900"
-    assert storage.boto_config.s3["addressing_style"] == "path"
-    assert storage.base_url == "http://garage:3900/reflector-media/"
-    # retries config preserved (merge, not replace)
-    assert storage.boto_config.retries["max_attempts"] == 3
-
-    mock_client = AsyncMock()
-    mock_client.put_object = AsyncMock()
-    mock_client.__aenter__ = AsyncMock(return_value=mock_client)
-    mock_client.__aexit__ = AsyncMock(return_value=None)
-    mock_client.generate_presigned_url = AsyncMock(
-        return_value="http://garage:3900/reflector-media/test.txt"
-    )
-
-    with patch.object(
-        storage.session, "client", return_value=mock_client
-    ) as mock_session_client:
-        await storage.put_file("test.txt", b"data")
-        mock_session_client.assert_called_with(
-            "s3", config=storage.boto_config, endpoint_url="http://garage:3900"
-        )
-
-
-@pytest.mark.asyncio
-async def test_aws_storage_none_endpoint_url():
-    """Test that None endpoint preserves current AWS behavior."""
-    storage = AwsStorage(
-        aws_bucket_name="reflector-bucket",
-        aws_region="us-east-1",
-        aws_access_key_id="AKIAtest",
-        aws_secret_access_key="secret",
-    )
-    assert storage._endpoint_url is None
-    assert storage.base_url == "https://reflector-bucket.s3.amazonaws.com/"
-    # No s3 addressing_style override — boto_config should only have retries
-    assert not hasattr(storage.boto_config, "s3") or storage.boto_config.s3 is None
--- a/server/tests/test_time_based_meeting_matching.py
+++ b/server/tests/test_time_based_meeting_matching.py
@@ -1,374 +0,0 @@
-"""
-Integration tests for time-based meeting-to-recording matching.
-
-Tests the critical path for matching Daily.co recordings to meetings when
-API doesn't return instanceId.
-"""
-
-from datetime import datetime, timedelta, timezone
-
-import pytest
-
-from reflector.db.meetings import meetings_controller
-from reflector.db.rooms import rooms_controller
-
-
-@pytest.fixture
-async def test_room():
-    """Create a test room for meetings."""
-    room = await rooms_controller.add(
-        name="test-room-time",
-        user_id="test-user-id",
-        zulip_auto_post=False,
-        zulip_stream="",
-        zulip_topic="",
-        is_locked=False,
-        room_mode="normal",
-        recording_type="cloud",
-        recording_trigger="automatic",
-        is_shared=False,
-        platform="daily",
-    )
-    return room
-
-
-@pytest.fixture
-def base_time():
-    """Fixed timestamp for deterministic tests."""
-    return datetime(2026, 1, 14, 9, 0, 0, tzinfo=timezone.utc)
-
-
-class TestTimeBasedMatching:
-    """Test get_by_room_name_and_time() matching logic."""
-
-    async def test_exact_time_match(self, test_room, base_time):
-        """Recording timestamp exactly matches meeting start_date."""
-        meeting = await meetings_controller.create(
-            id="meeting-exact",
-            room_name="daily-test-20260114090000",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-20260114090000",
-            recording_start=base_time,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == meeting.id
-
-    async def test_recording_slightly_after_meeting_start(self, test_room, base_time):
-        """Recording started 1 minute after meeting (participants joined late)."""
-        meeting = await meetings_controller.create(
-            id="meeting-late",
-            room_name="daily-test-20260114090100",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        recording_start = base_time + timedelta(minutes=1)
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-20260114090100",
-            recording_start=recording_start,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == meeting.id
-
-    async def test_duplicate_room_names_picks_closest(self, test_room, base_time):
-        """
-        Two meetings with same room_name (duplicate/race condition).
-        Should pick closest by timestamp.
-        """
-        meeting1 = await meetings_controller.create(
-            id="meeting-1-first",
-            room_name="daily-duplicate-room",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        meeting2 = await meetings_controller.create(
-            id="meeting-2-second",
-            room_name="daily-duplicate-room",  # Same room_name!
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time + timedelta(seconds=0.99),  # 0.99s later
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        # Recording started 0.5s after meeting1
-        # Distance: meeting1 = 0.5s, meeting2 = 0.49s → meeting2 is closer
-        recording_start = base_time + timedelta(seconds=0.5)
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-duplicate-room",
-            recording_start=recording_start,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == meeting2.id  # meeting2 is closer (0.49s vs 0.5s)
-
-    async def test_outside_time_window_returns_none(self, test_room, base_time):
-        """Recording outside 1-week window returns None."""
-        await meetings_controller.create(
-            id="meeting-old",
-            room_name="daily-test-old",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        # Recording 8 days later (outside 7-day window)
-        recording_start = base_time + timedelta(days=8)
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-old",
-            recording_start=recording_start,
-            time_window_hours=168,
-        )
-
-        assert result is None
-
-    async def test_tie_breaker_deterministic(self, test_room, base_time):
-        """When time delta identical, tie-breaker by meeting.id is deterministic."""
-        meeting_z = await meetings_controller.create(
-            id="zzz-last-uuid",
-            room_name="daily-test-tie",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        meeting_a = await meetings_controller.create(
-            id="aaa-first-uuid",
-            room_name="daily-test-tie",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,  # Exact same start_date
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-tie",
-            recording_start=base_time,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        # Tie-breaker: lexicographically first UUID
-        assert result.id == "aaa-first-uuid"
-
-    async def test_timezone_naive_datetime_raises(self, test_room, base_time):
-        """Timezone-naive datetime raises ValueError."""
-        await meetings_controller.create(
-            id="meeting-tz",
-            room_name="daily-test-tz",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        # Naive datetime (no timezone)
-        naive_dt = datetime(2026, 1, 14, 9, 0, 0)
-
-        with pytest.raises(ValueError, match="timezone-aware"):
-            await meetings_controller.get_by_room_name_and_time(
-                room_name="daily-test-tz",
-                recording_start=naive_dt,
-                time_window_hours=168,
-            )
-
-    async def test_one_week_boundary_after_included(self, test_room, base_time):
-        """Meeting 1-week AFTER recording is included (window_end boundary)."""
-        meeting_time = base_time + timedelta(hours=168)
-
-        await meetings_controller.create(
-            id="meeting-boundary-after",
-            room_name="daily-test-boundary-after",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=meeting_time,
-            end_date=meeting_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-boundary-after",
-            recording_start=base_time,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == "meeting-boundary-after"
-
-    async def test_one_week_boundary_before_included(self, test_room, base_time):
-        """Meeting 1-week BEFORE recording is included (window_start boundary)."""
-        meeting_time = base_time - timedelta(hours=168)
-
-        await meetings_controller.create(
-            id="meeting-boundary-before",
-            room_name="daily-test-boundary-before",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=meeting_time,
-            end_date=meeting_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-boundary-before",
-            recording_start=base_time,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == "meeting-boundary-before"
-
-    async def test_recording_before_meeting_start(self, test_room, base_time):
-        """Recording started before meeting (clock skew or early join)."""
-        await meetings_controller.create(
-            id="meeting-early",
-            room_name="daily-test-early",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        recording_start = base_time - timedelta(minutes=2)
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-early",
-            recording_start=recording_start,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == "meeting-early"
-
-    async def test_mixed_inside_outside_window(self, test_room, base_time):
-        """Multiple meetings, only one inside window - returns the inside one."""
-        await meetings_controller.create(
-            id="meeting-old",
-            room_name="daily-test-mixed",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time - timedelta(days=10),
-            end_date=base_time - timedelta(days=10, hours=-1),
-            room=test_room,
-        )
-
-        await meetings_controller.create(
-            id="meeting-inside",
-            room_name="daily-test-mixed",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time - timedelta(days=2),
-            end_date=base_time - timedelta(days=2, hours=-1),
-            room=test_room,
-        )
-
-        await meetings_controller.create(
-            id="meeting-future",
-            room_name="daily-test-mixed",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time + timedelta(days=10),
-            end_date=base_time + timedelta(days=10, hours=1),
-            room=test_room,
-        )
-
-        result = await meetings_controller.get_by_room_name_and_time(
-            room_name="daily-test-mixed",
-            recording_start=base_time,
-            time_window_hours=168,
-        )
-
-        assert result is not None
-        assert result.id == "meeting-inside"
-
-
-class TestAtomicCloudRecordingUpdate:
-    """Test atomic update prevents race conditions."""
-
-    async def test_first_update_succeeds(self, test_room, base_time):
-        """First call to set_cloud_recording_if_missing succeeds."""
-        meeting = await meetings_controller.create(
-            id="meeting-atomic-1",
-            room_name="daily-test-atomic",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        success = await meetings_controller.set_cloud_recording_if_missing(
-            meeting_id=meeting.id,
-            s3_key="first-s3-key",
-            duration=100,
-        )
-
-        assert success is True
-
-        updated = await meetings_controller.get_by_id(meeting.id)
-        assert updated.daily_composed_video_s3_key == "first-s3-key"
-        assert updated.daily_composed_video_duration == 100
-
-    async def test_second_update_fails_atomically(self, test_room, base_time):
-        """Second call to update same meeting doesn't overwrite (atomic check)."""
-        meeting = await meetings_controller.create(
-            id="meeting-atomic-2",
-            room_name="daily-test-atomic2",
-            room_url="https://example.daily.co/test",
-            host_room_url="https://example.daily.co/test?t=host",
-            start_date=base_time,
-            end_date=base_time + timedelta(hours=1),
-            room=test_room,
-        )
-
-        success1 = await meetings_controller.set_cloud_recording_if_missing(
-            meeting_id=meeting.id,
-            s3_key="first-s3-key",
-            duration=100,
-        )
-
-        assert success1 is True
-
-        after_first = await meetings_controller.get_by_id(meeting.id)
-        assert after_first.daily_composed_video_s3_key == "first-s3-key"
-
-        success2 = await meetings_controller.set_cloud_recording_if_missing(
-            meeting_id=meeting.id,
-            s3_key="bucket/path/should-not-overwrite",
-            duration=200,
-        )
-
-        assert success2 is False
-
-        final = await meetings_controller.get_by_id(meeting.id)
-        assert final.daily_composed_video_s3_key == "first-s3-key"
-        assert final.daily_composed_video_duration == 100
--- a/server/tests/test_transcripts_chat.py
+++ b/server/tests/test_transcripts_chat.py
@@ -0,0 +1,234 @@
+"""Tests for transcript chat WebSocket endpoint."""
+
+import asyncio
+import threading
+import time
+from pathlib import Path
+
+import pytest
+from httpx_ws import aconnect_ws
+from uvicorn import Config, Server
+
+from reflector.db.transcripts import (
+    SourceKind,
+    TranscriptParticipant,
+    TranscriptTopic,
+    transcripts_controller,
+)
+from reflector.processors.types import Word
+
+
+@pytest.fixture
+def chat_appserver(tmpdir, setup_database):
+    """Start a real HTTP server for WebSocket testing."""
+    from reflector.app import app
+    from reflector.db import get_database
+    from reflector.settings import settings
+
+    DATA_DIR = settings.DATA_DIR
+    settings.DATA_DIR = Path(tmpdir)
+
+    # Start server in separate thread with its own event loop
+    host = "127.0.0.1"
+    port = 1256  # Different port from rtc tests
+    server_started = threading.Event()
+    server_exception = None
+    server_instance = None
+
+    def run_server():
+        nonlocal server_exception, server_instance
+        try:
+            # Create new event loop for this thread
+            loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(loop)
+
+            config = Config(app=app, host=host, port=port, loop=loop)
+            server_instance = Server(config)
+
+            async def start_server():
+                # Initialize database connection in this event loop
+                database = get_database()
+                await database.connect()
+                try:
+                    await server_instance.serve()
+                finally:
+                    await database.disconnect()
+
+            # Signal that server is starting
+            server_started.set()
+            loop.run_until_complete(start_server())
+        except Exception as e:
+            server_exception = e
+            server_started.set()
+        finally:
+            loop.close()
+
+    server_thread = threading.Thread(target=run_server, daemon=True)
+    server_thread.start()
+
+    # Wait for server to start
+    server_started.wait(timeout=30)
+    if server_exception:
+        raise server_exception
+
+    # Wait for server to be fully ready
+    time.sleep(1)
+
+    yield server_instance, host, port
+
+    # Stop server
+    if server_instance:
+        server_instance.should_exit = True
+        server_thread.join(timeout=30)
+
+    settings.DATA_DIR = DATA_DIR
+
+
+@pytest.fixture
+async def test_transcript(setup_database):
+    """Create a test transcript for WebSocket tests."""
+    transcript = await transcripts_controller.add(
+        name="Test Transcript for Chat", source_kind=SourceKind.FILE
+    )
+    return transcript
+
+
+@pytest.fixture
+async def test_transcript_with_content(setup_database):
+    """Create a test transcript with actual content for WebVTT generation."""
+    transcript = await transcripts_controller.add(
+        name="Test Transcript with Content", source_kind=SourceKind.FILE
+    )
+
+    # Add participants
+    await transcripts_controller.update(
+        transcript,
+        {
+            "participants": [
+                TranscriptParticipant(id="1", speaker=0, name="Alice").model_dump(),
+                TranscriptParticipant(id="2", speaker=1, name="Bob").model_dump(),
+            ]
+        },
+    )
+
+    # Add topic with words
+    await transcripts_controller.upsert_topic(
+        transcript,
+        TranscriptTopic(
+            title="Introduction",
+            summary="Opening remarks",
+            timestamp=0.0,
+            words=[
+                Word(text="Hello ", start=0.0, end=1.0, speaker=0),
+                Word(text="everyone.", start=1.0, end=2.0, speaker=0),
+                Word(text="Hi ", start=2.0, end=3.0, speaker=1),
+                Word(text="there!", start=3.0, end=4.0, speaker=1),
+            ],
+        ),
+    )
+
+    return transcript
+
+
+@pytest.mark.asyncio
+async def test_chat_websocket_connection_success(test_transcript, chat_appserver):
+    """Test successful WebSocket connection to chat endpoint."""
+    server, host, port = chat_appserver
+    base_url = f"ws://{host}:{port}/v1"
+
+    async with aconnect_ws(f"{base_url}/transcripts/{test_transcript.id}/chat") as ws:
+        # Send unknown message type to test echo behavior
+        await ws.send_json({"type": "test", "text": "Hello"})
+
+        # Should receive echo for unknown types
+        response = await ws.receive_json()
+        assert response["type"] == "echo"
+        assert response["data"]["type"] == "test"
+
+
+@pytest.mark.asyncio
+async def test_chat_websocket_nonexistent_transcript(chat_appserver):
+    """Test WebSocket connection fails for nonexistent transcript."""
+    server, host, port = chat_appserver
+    base_url = f"ws://{host}:{port}/v1"
+
+    # Connection should fail or disconnect immediately for non-existent transcript
+    # Different behavior from successful connection
+    with pytest.raises(Exception):  # Will raise on connection or first operation
+        async with aconnect_ws(f"{base_url}/transcripts/nonexistent-id/chat") as ws:
+            await ws.send_json({"type": "message", "text": "Hello"})
+            await ws.receive_json()
+
+
+@pytest.mark.asyncio
+async def test_chat_websocket_multiple_messages(test_transcript, chat_appserver):
+    """Test sending multiple messages through WebSocket."""
+    server, host, port = chat_appserver
+    base_url = f"ws://{host}:{port}/v1"
+
+    async with aconnect_ws(f"{base_url}/transcripts/{test_transcript.id}/chat") as ws:
+        # Send multiple unknown message types (testing echo behavior)
+        messages = ["First message", "Second message", "Third message"]
+
+        for i, msg in enumerate(messages):
+            await ws.send_json({"type": f"test{i}", "text": msg})
+            response = await ws.receive_json()
+            assert response["type"] == "echo"
+            assert response["data"]["type"] == f"test{i}"
+            assert response["data"]["text"] == msg
+
+
+@pytest.mark.asyncio
+async def test_chat_websocket_disconnect_graceful(test_transcript, chat_appserver):
+    """Test WebSocket disconnects gracefully."""
+    server, host, port = chat_appserver
+    base_url = f"ws://{host}:{port}/v1"
+
+    async with aconnect_ws(f"{base_url}/transcripts/{test_transcript.id}/chat") as ws:
+        await ws.send_json({"type": "message", "text": "Hello"})
+        await ws.receive_json()
+        # Close handled by context manager - should not raise
+
+
+@pytest.mark.asyncio
+async def test_chat_websocket_context_generation(
+    test_transcript_with_content, chat_appserver
+):
+    """Test WebVTT context is generated on connection."""
+    server, host, port = chat_appserver
+    base_url = f"ws://{host}:{port}/v1"
+
+    async with aconnect_ws(
+        f"{base_url}/transcripts/{test_transcript_with_content.id}/chat"
+    ) as ws:
+        # Request context
+        await ws.send_json({"type": "get_context"})
+
+        # Receive context response
+        response = await ws.receive_json()
+        assert response["type"] == "context"
+        assert "webvtt" in response
+
+        # Verify WebVTT format
+        webvtt = response["webvtt"]
+        assert webvtt.startswith("WEBVTT")
+        assert "<v Alice>" in webvtt
+        assert "<v Bob>" in webvtt
+        assert "Hello everyone." in webvtt
+        assert "Hi there!" in webvtt
+
+
+@pytest.mark.asyncio
+async def test_chat_websocket_unknown_message_type(test_transcript, chat_appserver):
+    """Test unknown message types are echoed back."""
+    server, host, port = chat_appserver
+    base_url = f"ws://{host}:{port}/v1"
+
+    async with aconnect_ws(f"{base_url}/transcripts/{test_transcript.id}/chat") as ws:
+        # Send unknown message type
+        await ws.send_json({"type": "unknown", "data": "test"})
+
+        # Should receive echo
+        response = await ws.receive_json()
+        assert response["type"] == "echo"
+        assert response["data"]["type"] == "unknown"
--- a/server/tests/test_transcripts_process.py
+++ b/server/tests/test_transcripts_process.py
@@ -1,6 +1,6 @@
 import asyncio
 import time
-from unittest.mock import AsyncMock, patch
+from unittest.mock import patch

 import pytest
 from httpx import ASGITransport, AsyncClient
@@ -142,17 +142,17 @@ async def test_whereby_recording_uses_file_pipeline(client):
            "reflector.services.transcript_process.task_pipeline_file_process"
        ) as mock_file_pipeline,
        patch(
-            "reflector.services.transcript_process.HatchetClientManager"
-        ) as mock_hatchet,
+            "reflector.services.transcript_process.task_pipeline_multitrack_process"
+        ) as mock_multitrack_pipeline,
    ):
        response = await client.post(f"/transcripts/{transcript.id}/process")

        assert response.status_code == 200
        assert response.json()["status"] == "ok"

-        # Whereby recordings should use file pipeline, not Hatchet
+        # Whereby recordings should use file pipeline
        mock_file_pipeline.delay.assert_called_once_with(transcript_id=transcript.id)
-        mock_hatchet.start_workflow.assert_not_called()
+        mock_multitrack_pipeline.delay.assert_not_called()


@pytest.mark.usefixtures("setup_database")
@@ -162,22 +162,9 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
    from datetime import datetime, timezone

    from reflector.db.recordings import Recording, recordings_controller
-    from reflector.db.rooms import rooms_controller
    from reflector.db.transcripts import transcripts_controller

-    room = await rooms_controller.add(
-        name="test-room",
-        user_id="test-user",
-        zulip_auto_post=False,
-        zulip_stream="",
-        zulip_topic="",
-        is_locked=False,
-        room_mode="normal",
-        recording_type="cloud",
-        recording_trigger="automatic-2nd-participant",
-        is_shared=False,
-    )
-
+    # Create transcript with Daily.co multitrack recording
    transcript = await transcripts_controller.add(
        "",
        source_kind="room",
@@ -185,7 +172,6 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
        target_language="en",
        user_id="test-user",
        share_mode="public",
-        room_id=room.id,
    )

    track_keys = [
@@ -211,23 +197,18 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
            "reflector.services.transcript_process.task_pipeline_file_process"
        ) as mock_file_pipeline,
        patch(
-            "reflector.services.transcript_process.HatchetClientManager"
-        ) as mock_hatchet,
+            "reflector.services.transcript_process.task_pipeline_multitrack_process"
+        ) as mock_multitrack_pipeline,
    ):
-        mock_hatchet.start_workflow = AsyncMock(return_value="test-workflow-id")
-
        response = await client.post(f"/transcripts/{transcript.id}/process")

        assert response.status_code == 200
        assert response.json()["status"] == "ok"

-        # Daily.co multitrack recordings should use Hatchet workflow
-        mock_hatchet.start_workflow.assert_called_once()
-        call_kwargs = mock_hatchet.start_workflow.call_args.kwargs
-        assert call_kwargs["workflow_name"] == "DiarizationPipeline"
-        assert call_kwargs["input_data"]["transcript_id"] == transcript.id
-        assert call_kwargs["input_data"]["bucket_name"] == "daily-bucket"
-        assert call_kwargs["input_data"]["tracks"] == [
-            {"s3_key": k} for k in track_keys
-        ]
+        # Daily.co multitrack recordings should use multitrack pipeline
+        mock_multitrack_pipeline.delay.assert_called_once_with(
+            transcript_id=transcript.id,
+            bucket_name="daily-bucket",
+            track_keys=track_keys,
+        )
        mock_file_pipeline.delay.assert_not_called()
--- a/server/tests/test_transcripts_rtc_ws.py
+++ b/server/tests/test_transcripts_rtc_ws.py
@@ -115,7 +115,9 @@ def appserver(tmpdir, setup_database, celery_session_app, celery_session_worker)
    settings.DATA_DIR = DATA_DIR


-# Using celery_includes from conftest.py which includes both pipelines
+@pytest.fixture(scope="session")
+def celery_includes():
+    return ["reflector.pipelines.main_live_pipeline"]


@pytest.mark.usefixtures("setup_database")
--- a/server/tests/test_user_websocket_auth.py
+++ b/server/tests/test_user_websocket_auth.py
@@ -56,12 +56,7 @@ def appserver_ws_user(setup_database):

    if server_instance:
        server_instance.should_exit = True
-        server_thread.join(timeout=2.0)
-
-    # Reset global singleton for test isolation
-    from reflector.ws_manager import reset_ws_manager
-
-    reset_ws_manager()
+        server_thread.join(timeout=30)


@pytest.fixture(autouse=True)
@@ -138,8 +133,6 @@ async def test_user_ws_accepts_valid_token_and_receives_events(appserver_ws_user

    # Connect and then trigger an event via HTTP create
    async with aconnect_ws(base_ws, subprotocols=subprotocols) as ws:
-        await asyncio.sleep(0.2)
-
        # Emit an event to the user's room via a standard HTTP action
        from httpx import AsyncClient

@@ -157,7 +150,6 @@ async def test_user_ws_accepts_valid_token_and_receives_events(appserver_ws_user
            "email": "user-abc@example.com",
        }

-        # Use in-memory client (global singleton makes it share ws_manager)
        async with AsyncClient(app=app, base_url=f"http://{host}:{port}/v1") as ac:
            # Create a transcript as this user so that the server publishes TRANSCRIPT_CREATED to user room
            resp = await ac.post("/transcripts", json={"name": "WS Test"})
--- a/server/uv.lock
+++ b/server/uv.lock
@@ -159,20 +159,21 @@ wheels = [

 [[package]]
 name = "aiortc"
-version = "1.14.0"
+version = "1.13.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "aioice" },
    { name = "av" },
+    { name = "cffi" },
    { name = "cryptography" },
    { name = "google-crc32c" },
    { name = "pyee" },
    { name = "pylibsrtp" },
    { name = "pyopenssl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/51/9c/4e027bfe0195de0442da301e2389329496745d40ae44d2d7c4571c4290ce/aiortc-1.14.0.tar.gz", hash = "sha256:adc8a67ace10a085721e588e06a00358ed8eaf5f6b62f0a95358ff45628dd762", size = 1180864 }
+sdist = { url = "https://files.pythonhosted.org/packages/62/03/bc947d74c548e0c17cf94e5d5bdacaed0ee9e5b2bb7b8b8cf1ac7a7c01ec/aiortc-1.13.0.tar.gz", hash = "sha256:5d209975c22d0910fb5a0f0e2caa828f2da966c53580f7c7170ac3a16a871620", size = 1179894 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/57/ab/31646a49209568cde3b97eeade0d28bb78b400e6645c56422c101df68932/aiortc-1.14.0-py3-none-any.whl", hash = "sha256:4b244d7e482f4e1f67e685b3468269628eca1ec91fa5b329ab517738cfca086e", size = 93183 },
+    { url = "https://files.pythonhosted.org/packages/87/29/765633cab5f1888890f5f172d1d53009b9b14e079cdfa01a62d9896a9ea9/aiortc-1.13.0-py3-none-any.whl", hash = "sha256:9ccccec98796f6a96bd1c3dd437a06da7e0f57521c96bd56e4b965a91b03a0a0", size = 92910 },
 ]

 [[package]]
@@ -235,6 +236,12 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
 ]

+[[package]]
+name = "antlr4-python3-runtime"
+version = "4.9.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/3e/38/7859ff46355f76f8d19459005ca000b6e7012f2f1ca597746cbcd1fbfe5e/antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b", size = 117034 }
+
 [[package]]
 name = "anyio"
 version = "4.9.0"
@@ -261,6 +268,21 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/2f/f5/c36551e93acba41a59939ae6a0fb77ddb3f2e8e8caa716410c65f7341f72/asgi_lifespan-2.1.0-py3-none-any.whl", hash = "sha256:ed840706680e28428c01e14afb3875d7d76d3206f3d5b2f2294e059b5c23804f", size = 10895 },
 ]

+[[package]]
+name = "asteroid-filterbanks"
+version = "0.4.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/90/fa/5c2be1f96dc179f83cdd3bb267edbd1f47d08f756785c016d5c2163901a7/asteroid-filterbanks-0.4.0.tar.gz", hash = "sha256:415f89d1dcf2b13b35f03f7a9370968ac4e6fa6800633c522dac992b283409b9", size = 24599 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c5/7c/83ff6046176a675e6a1e8aeefed8892cd97fe7c46af93cc540d1b24b8323/asteroid_filterbanks-0.4.0-py3-none-any.whl", hash = "sha256:4932ac8b6acc6e08fb87cbe8ece84215b5a74eee284fe83acf3540a72a02eaf5", size = 29912 },
+]
+
 [[package]]
 name = "async-timeout"
 version = "5.0.1"
@@ -305,24 +327,28 @@ wheels = [

 [[package]]
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-version = "16.1.0"
+version = "14.4.0"
 source = { registry = "https://pypi.org/simple" }
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 wheels = [
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+    { name = "torchaudio", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "torchaudio", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+    { name = "tqdm" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/ab/10/87e666544a4e0cec7cbdc09f26948994831ae0f8bbc58de3bf53b68285ff/speechbrain-1.0.3.tar.gz", hash = "sha256:fcab3c6e90012cecb1eed40ea235733b550137e73da6bfa2340ba191ec714052", size = 747735 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/58/13/e61f1085aebee17d5fc2df19fcc5177c10379be52578afbecdd615a831c9/speechbrain-1.0.3-py3-none-any.whl", hash = "sha256:9859d4c1b1fb3af3b85523c0c89f52e45a04f305622ed55f31aa32dd2fba19e9", size = 864091 },
+]
+
 [[package]]
 name = "sqlalchemy"
 version = "1.4.54"
@@ -3291,6 +3888,15 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/a2/09/77d55d46fd61b4a135c444fc97158ef34a095e5681d0a6c10b75bf356191/sympy-1.14.0-py3-none-any.whl", hash = "sha256:e091cc3e99d2141a0ba2847328f5479b05d94a6635cb96148ccb3f34671bd8f5", size = 6299353 },
 ]

+[[package]]
+name = "tabulate"
+version = "0.9.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ec/fe/802052aecb21e3797b8f7902564ab6ea0d60ff8ca23952079064155d1ae1/tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c", size = 81090 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl", hash = "sha256:024ca478df22e9340661486f85298cff5f6dcdba14f3813e8830015b9ed1948f", size = 35252 },
+]
+
 [[package]]
 name = "tenacity"
 version = "9.1.2"
@@ -3300,6 +3906,29 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/e5/30/643397144bfbfec6f6ef821f36f33e57d35946c44a2352d3c9f0ae847619/tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138", size = 28248 },
 ]

+[[package]]
+name = "tensorboardx"
+version = "2.6.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "protobuf" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/2b/c5/d4cc6e293fb837aaf9f76dd7745476aeba8ef7ef5146c3b3f9ee375fe7a5/tensorboardx-2.6.4.tar.gz", hash = "sha256:b163ccb7798b31100b9f5fa4d6bc22dad362d7065c2f24b51e50731adde86828", size = 4769801 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e0/1d/b5d63f1a6b824282b57f7b581810d20b7a28ca951f2d5b59f1eb0782c12b/tensorboardx-2.6.4-py3-none-any.whl", hash = "sha256:5970cf3a1f0a6a6e8b180ccf46f3fe832b8a25a70b86e5a237048a7c0beb18e2", size = 87201 },
+]
+
+[[package]]
+name = "threadpoolctl"
+version = "3.6.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/b7/4d/08c89e34946fce2aec4fbb45c9016efd5f4d7f24af8e5d93296e935631d8/threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e", size = 21274 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/32/d5/f9a850d79b0851d1d4ef6456097579a9005b31fea68726a4ae5f2d82ddd9/threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb", size = 18638 },
+]
+
 [[package]]
 name = "tiktoken"
 version = "0.9.0"
@@ -3440,6 +4069,40 @@ wheels = [
    { url = "https://download.pytorch.org/whl/cpu/torch-2.8.0%2Bcpu-cp312-cp312-win_arm64.whl", hash = "sha256:99fc421a5d234580e45957a7b02effbf3e1c884a5dd077afc85352c77bf41434" },
 ]

+[[package]]
+name = "torch-audiomentations"
+version = "0.12.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "julius" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
+    { name = "torch-pitch-shift" },
+    { name = "torchaudio", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "torchaudio", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/31/8d/2f8fd7e34c75f5ee8de4310c3bd3f22270acd44d1f809e2fe7c12fbf35f8/torch_audiomentations-0.12.0.tar.gz", hash = "sha256:b02d4c5eb86376986a53eb405cca5e34f370ea9284411237508e720c529f7888", size = 52094 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/21/9d/1ee04f49c15d2d632f6f7102061d7c07652858e6d91b58a091531034e84f/torch_audiomentations-0.12.0-py3-none-any.whl", hash = "sha256:1b80b91d2016ccf83979622cac8f702072a79b7dcc4c2bee40f00b26433a786b", size = 48506 },
+]
+
+[[package]]
+name = "torch-pitch-shift"
+version = "1.2.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "packaging" },
+    { name = "primepy" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
+    { name = "torchaudio", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine == 'aarch64' and sys_platform == 'linux') or sys_platform == 'darwin'" },
+    { name = "torchaudio", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/79/a6/722a832bca75d5079f6731e005b3d0c2eec7c6c6863d030620952d143d57/torch_pitch_shift-1.2.5.tar.gz", hash = "sha256:6e1c7531f08d0f407a4c55e5ff8385a41355c5c5d27ab7fa08632e51defbd0ed", size = 4725 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/27/4c/96ac2a09efb56cc3c41fb3ce9b6f4d8c0604499f7481d4a13a7b03e21382/torch_pitch_shift-1.2.5-py3-none-any.whl", hash = "sha256:6f8500cbc13f1c98b11cde1805ce5084f82cdd195c285f34287541f168a7c6a7", size = 5005 },
+]
+
 [[package]]
 name = "torchaudio"
 version = "2.8.0"
@@ -3487,6 +4150,22 @@ wheels = [
    { url = "https://download.pytorch.org/whl/cpu/torchaudio-2.8.0%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:9b302192b570657c1cc787a4d487ae4bbb7f2aab1c01b1fcc46757e7f86f391e" },
 ]

+[[package]]
+name = "torchmetrics"
+version = "1.8.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "lightning-utilities" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "torch", version = "2.8.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
+    { name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform != 'darwin'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/85/2e/48a887a59ecc4a10ce9e8b35b3e3c5cef29d902c4eac143378526e7485cb/torchmetrics-1.8.2.tar.gz", hash = "sha256:cf64a901036bf107f17a524009eea7781c9c5315d130713aeca5747a686fe7a5", size = 580679 }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/02/21/aa0f434434c48490f91b65962b1ce863fdcce63febc166ca9fe9d706c2b6/torchmetrics-1.8.2-py3-none-any.whl", hash = "sha256:08382fd96b923e39e904c4d570f3d49e2cc71ccabd2a94e0f895d1f0dac86242", size = 983161 },
+]
+
 [[package]]
 name = "tqdm"
 version = "4.67.1"
--- a/www/app/(app)/rooms/page.tsx
+++ b/www/app/(app)/rooms/page.tsx
@@ -302,10 +302,10 @@ export default function RoomsList() {
        return;
      }

-      const platform: "whereby" | "daily" =
+      const platform: "whereby" | "daily" | null =
        room.platform === "whereby" || room.platform === "daily"
          ? room.platform
-          : "daily";
+          : null;

      const roomData = {
        name: room.name,
--- a/www/app/(app)/transcripts/TranscriptChatModal.tsx
+++ b/www/app/(app)/transcripts/TranscriptChatModal.tsx
@@ -0,0 +1,103 @@
+"use client";
+
+import { useState } from "react";
+import { Box, Dialog, Input, IconButton } from "@chakra-ui/react";
+import { MessageCircle } from "lucide-react";
+import Markdown from "react-markdown";
+import "../../styles/markdown.css";
+import type { Message } from "./useTranscriptChat";
+
+interface TranscriptChatModalProps {
+  open: boolean;
+  onClose: () => void;
+  messages: Message[];
+  sendMessage: (text: string) => void;
+  isStreaming: boolean;
+  currentStreamingText: string;
+}
+
+export function TranscriptChatModal({
+  open,
+  onClose,
+  messages,
+  sendMessage,
+  isStreaming,
+  currentStreamingText,
+}: TranscriptChatModalProps) {
+  const [input, setInput] = useState("");
+
+  const handleSend = () => {
+    if (!input.trim()) return;
+    sendMessage(input);
+    setInput("");
+  };
+
+  return (
+    <Dialog.Root open={open} onOpenChange={(e) => !e.open && onClose()}>
+      <Dialog.Backdrop />
+      <Dialog.Positioner>
+        <Dialog.Content maxW="500px" h="600px">
+          <Dialog.Header>Transcript Chat</Dialog.Header>
+
+          <Dialog.Body overflowY="auto">
+            {messages.map((msg) => (
+              <Box
+                key={msg.id}
+                p={3}
+                mb={2}
+                bg={msg.role === "user" ? "blue.50" : "gray.50"}
+                borderRadius="md"
+              >
+                {msg.role === "user" ? (
+                  msg.text
+                ) : (
+                  <div className="markdown">
+                    <Markdown>{msg.text}</Markdown>
+                  </div>
+                )}
+              </Box>
+            ))}
+
+            {isStreaming && (
+              <Box p={3} bg="gray.50" borderRadius="md">
+                <div className="markdown">
+                  <Markdown>{currentStreamingText}</Markdown>
+                </div>
+                <Box as="span" className="animate-pulse">
+                  ▊
+                </Box>
+              </Box>
+            )}
+          </Dialog.Body>
+
+          <Dialog.Footer>
+            <Input
+              value={input}
+              onChange={(e) => setInput(e.target.value)}
+              onKeyDown={(e) => e.key === "Enter" && handleSend()}
+              placeholder="Ask about transcript..."
+              disabled={isStreaming}
+            />
+          </Dialog.Footer>
+        </Dialog.Content>
+      </Dialog.Positioner>
+    </Dialog.Root>
+  );
+}
+
+export function TranscriptChatButton({ onClick }: { onClick: () => void }) {
+  return (
+    <IconButton
+      position="fixed"
+      bottom="24px"
+      right="24px"
+      onClick={onClick}
+      size="lg"
+      colorPalette="blue"
+      borderRadius="full"
+      aria-label="Open chat"
+    >
+      <MessageCircle />
+    </IconButton>
+  );
+}
--- a/www/app/(app)/transcripts/[transcriptId]/correct/page.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/correct/page.tsx
@@ -16,7 +16,6 @@ import {
 import { useError } from "../../../../(errors)/errorContext";
 import { useRouter } from "next/navigation";
 import { Box, Grid } from "@chakra-ui/react";
-import { parseNonEmptyString } from "../../../../lib/utils";

 export type TranscriptCorrect = {
  params: Promise<{
@@ -26,7 +25,8 @@ export type TranscriptCorrect = {

 export default function TranscriptCorrect(props: TranscriptCorrect) {
  const params = use(props.params);
-  const transcriptId = parseNonEmptyString(params.transcriptId);
+
+  const { transcriptId } = params;

  const updateTranscriptMutation = useTranscriptUpdate();
  const transcript = useTranscriptGet(transcriptId);
--- a/www/app/(app)/transcripts/[transcriptId]/finalSummary.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/finalSummary.tsx
@@ -3,8 +3,7 @@ import React from "react";
 import Markdown from "react-markdown";
 import "../../../styles/markdown.css";
 import type { components } from "../../../reflector-api";
-type GetTranscriptWithParticipants =
-  components["schemas"]["GetTranscriptWithParticipants"];
+type GetTranscript = components["schemas"]["GetTranscript"];
 type GetTranscriptTopic = components["schemas"]["GetTranscriptTopic"];
 import { useTranscriptUpdate } from "../../../lib/apiHooks";
 import {
@@ -19,7 +18,7 @@ import { LuPen } from "react-icons/lu";
 import { useError } from "../../../(errors)/errorContext";

 type FinalSummaryProps = {
-  transcript: GetTranscriptWithParticipants;
+  transcript: GetTranscript;
  topics: GetTranscriptTopic[];
  onUpdate: (newSummary: string) => void;
  finalSummaryRef: React.Dispatch<React.SetStateAction<HTMLDivElement | null>>;
--- a/www/app/(app)/transcripts/[transcriptId]/page.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/page.tsx
@@ -9,9 +9,7 @@ import React, { useEffect, useState, use } from "react";
 import FinalSummary from "./finalSummary";
 import TranscriptTitle from "../transcriptTitle";
 import Player from "../player";
-import { useWebSockets } from "../useWebSockets";
 import { useRouter } from "next/navigation";
-import { parseNonEmptyString } from "../../../lib/utils";
 import {
  Box,
  Flex,
@@ -20,9 +18,15 @@ import {
  Skeleton,
  Text,
  Spinner,
+  useDisclosure,
 } from "@chakra-ui/react";
 import { useTranscriptGet } from "../../../lib/apiHooks";
 import { TranscriptStatus } from "../../../lib/transcript";
+import {
+  TranscriptChatModal,
+  TranscriptChatButton,
+} from "../TranscriptChatModal";
+import { useTranscriptChat } from "../useTranscriptChat";

 type TranscriptDetails = {
  params: Promise<{
@@ -32,7 +36,7 @@ type TranscriptDetails = {

 export default function TranscriptDetails(details: TranscriptDetails) {
  const params = use(details.params);
-  const transcriptId = parseNonEmptyString(params.transcriptId);
+  const transcriptId = params.transcriptId;
  const router = useRouter();
  const statusToRedirect = [
    "idle",
@@ -51,11 +55,13 @@ export default function TranscriptDetails(details: TranscriptDetails) {
    transcriptId,
    waiting || mp3.audioDeleted === true,
  );
-  useWebSockets(transcriptId);
  const useActiveTopic = useState<Topic | null>(null);
  const [finalSummaryElement, setFinalSummaryElement] =
    useState<HTMLDivElement | null>(null);

+  const { open, onOpen, onClose } = useDisclosure();
+  const chat = useTranscriptChat(transcriptId);
+
  useEffect(() => {
    if (!waiting || !transcript.data) return;

@@ -122,6 +128,15 @@ export default function TranscriptDetails(details: TranscriptDetails) {

  return (
    <>
+      <TranscriptChatModal
+        open={open}
+        onClose={onClose}
+        messages={chat.messages}
+        sendMessage={chat.sendMessage}
+        isStreaming={chat.isStreaming}
+        currentStreamingText={chat.currentStreamingText}
+      />
+      <TranscriptChatButton onClick={onOpen} />
      <Grid
        templateColumns="1fr"
        templateRows="auto minmax(0, 1fr)"
--- a/www/app/(app)/transcripts/[transcriptId]/processing/page.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/processing/page.tsx
@@ -10,8 +10,6 @@ import {
 } from "@chakra-ui/react";
 import { useRouter } from "next/navigation";
 import { useTranscriptGet } from "../../../../lib/apiHooks";
-import { parseNonEmptyString } from "../../../../lib/utils";
-import { useWebSockets } from "../../useWebSockets";

 type TranscriptProcessing = {
  params: Promise<{
@@ -21,11 +19,10 @@ type TranscriptProcessing = {

 export default function TranscriptProcessing(details: TranscriptProcessing) {
  const params = use(details.params);
-  const transcriptId = parseNonEmptyString(params.transcriptId);
+  const transcriptId = params.transcriptId;
  const router = useRouter();

  const transcript = useTranscriptGet(transcriptId);
-  useWebSockets(transcriptId);

  useEffect(() => {
    const status = transcript.data?.status;
--- a/www/app/(app)/transcripts/[transcriptId]/record/page.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/record/page.tsx
@@ -12,7 +12,6 @@ import { Box, Text, Grid, Heading, VStack, Flex } from "@chakra-ui/react";
 import LiveTrancription from "../../liveTranscription";
 import { useTranscriptGet } from "../../../../lib/apiHooks";
 import { TranscriptStatus } from "../../../../lib/transcript";
-import { parseNonEmptyString } from "../../../../lib/utils";

 type TranscriptDetails = {
  params: Promise<{
@@ -22,14 +21,13 @@ type TranscriptDetails = {

 const TranscriptRecord = (details: TranscriptDetails) => {
  const params = use(details.params);
-  const transcriptId = parseNonEmptyString(params.transcriptId);
-  const transcript = useTranscriptGet(transcriptId);
+  const transcript = useTranscriptGet(params.transcriptId);
  const [transcriptStarted, setTranscriptStarted] = useState(false);
  const useActiveTopic = useState<Topic | null>(null);

-  const webSockets = useWebSockets(transcriptId);
+  const webSockets = useWebSockets(params.transcriptId);

-  const mp3 = useMp3(transcriptId, true);
+  const mp3 = useMp3(params.transcriptId, true);

  const router = useRouter();

--- a/www/app/(app)/transcripts/[transcriptId]/upload/page.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/upload/page.tsx
@@ -7,7 +7,6 @@ import useMp3 from "../../useMp3";
 import { Center, VStack, Text, Heading } from "@chakra-ui/react";
 import FileUploadButton from "../../fileUploadButton";
 import { useTranscriptGet } from "../../../../lib/apiHooks";
-import { parseNonEmptyString } from "../../../../lib/utils";

 type TranscriptUpload = {
  params: Promise<{
@@ -17,13 +16,12 @@ type TranscriptUpload = {

 const TranscriptUpload = (details: TranscriptUpload) => {
  const params = use(details.params);
-  const transcriptId = parseNonEmptyString(params.transcriptId);
-  const transcript = useTranscriptGet(transcriptId);
+  const transcript = useTranscriptGet(params.transcriptId);
  const [transcriptStarted, setTranscriptStarted] = useState(false);

-  const webSockets = useWebSockets(transcriptId);
+  const webSockets = useWebSockets(params.transcriptId);

-  const mp3 = useMp3(transcriptId, true);
+  const mp3 = useMp3(params.transcriptId, true);

  const router = useRouter();

--- a/www/app/(app)/transcripts/createTranscript.ts
+++ b/www/app/(app)/transcripts/createTranscript.ts
@@ -2,11 +2,10 @@ import type { components } from "../../reflector-api";
 import { useTranscriptCreate } from "../../lib/apiHooks";

 type CreateTranscript = components["schemas"]["CreateTranscript"];
-type GetTranscriptWithParticipants =
-  components["schemas"]["GetTranscriptWithParticipants"];
+type GetTranscript = components["schemas"]["GetTranscript"];

 type UseCreateTranscript = {
-  transcript: GetTranscriptWithParticipants | null;
+  transcript: GetTranscript | null;
  loading: boolean;
  error: Error | null;
  create: (transcriptCreationDetails: CreateTranscript) => Promise<void>;
--- a/www/app/(app)/transcripts/shareAndPrivacy.tsx
+++ b/www/app/(app)/transcripts/shareAndPrivacy.tsx
@@ -2,8 +2,7 @@ import { useEffect, useState } from "react";

 import { ShareMode, toShareMode } from "../../lib/shareMode";
 import type { components } from "../../reflector-api";
-type GetTranscriptWithParticipants =
-  components["schemas"]["GetTranscriptWithParticipants"];
+type GetTranscript = components["schemas"]["GetTranscript"];
 type GetTranscriptTopic = components["schemas"]["GetTranscriptTopic"];
 type UpdateTranscript = components["schemas"]["UpdateTranscript"];
 import {
@@ -28,7 +27,7 @@ import { featureEnabled } from "../../lib/features";

 type ShareAndPrivacyProps = {
  finalSummaryElement: HTMLDivElement | null;
-  transcript: GetTranscriptWithParticipants;
+  transcript: GetTranscript;
  topics: GetTranscriptTopic[];
 };

--- a/www/app/(app)/transcripts/shareZulip.tsx
+++ b/www/app/(app)/transcripts/shareZulip.tsx
@@ -1,8 +1,7 @@
 import { useState, useEffect, useMemo } from "react";
 import type { components } from "../../reflector-api";

-type GetTranscriptWithParticipants =
-  components["schemas"]["GetTranscriptWithParticipants"];
+type GetTranscript = components["schemas"]["GetTranscript"];
 type GetTranscriptTopic = components["schemas"]["GetTranscriptTopic"];
 import {
  BoxProps,
@@ -27,7 +26,7 @@ import {
 import { featureEnabled } from "../../lib/features";

 type ShareZulipProps = {
-  transcript: GetTranscriptWithParticipants;
+  transcript: GetTranscript;
  topics: GetTranscriptTopic[];
  disabled: boolean;
 };
--- a/www/app/(app)/transcripts/transcriptTitle.tsx
+++ b/www/app/(app)/transcripts/transcriptTitle.tsx
@@ -1,10 +1,8 @@
 import { useState } from "react";
 import type { components } from "../../reflector-api";
-import { parseMaybeNonEmptyString } from "../../lib/utils";

 type UpdateTranscript = components["schemas"]["UpdateTranscript"];
-type GetTranscriptWithParticipants =
-  components["schemas"]["GetTranscriptWithParticipants"];
+type GetTranscript = components["schemas"]["GetTranscript"];
 type GetTranscriptTopic = components["schemas"]["GetTranscriptTopic"];
 import {
  useTranscriptUpdate,
@@ -22,7 +20,7 @@ type TranscriptTitle = {
  onUpdate: (newTitle: string) => void;

  // share props
-  transcript: GetTranscriptWithParticipants | null;
+  transcript: GetTranscript | null;
  topics: GetTranscriptTopic[] | null;
  finalSummaryElement: HTMLDivElement | null;
 };
@@ -33,7 +31,7 @@ const TranscriptTitle = (props: TranscriptTitle) => {
  const [isEditing, setIsEditing] = useState(false);
  const updateTranscriptMutation = useTranscriptUpdate();
  const participantsQuery = useTranscriptParticipants(
-    props.transcript?.id ? parseMaybeNonEmptyString(props.transcript.id) : null,
+    props.transcript?.id || null,
  );

  const updateTitle = async (newTitle: string, transcriptId: string) => {
--- a/www/app/(app)/transcripts/useMp3.ts
+++ b/www/app/(app)/transcripts/useMp3.ts
@@ -1,6 +1,5 @@
 import { useEffect, useState } from "react";
 import { useTranscriptGet } from "../../lib/apiHooks";
-import { parseMaybeNonEmptyString } from "../../lib/utils";
 import { useAuth } from "../../lib/AuthProvider";
 import { API_URL } from "../../lib/apiClient";

@@ -28,7 +27,7 @@ const useMp3 = (transcriptId: string, waiting?: boolean): Mp3Response => {
    data: transcript,
    isLoading: transcriptMetadataLoading,
    error: transcriptError,
-  } = useTranscriptGet(later ? null : parseMaybeNonEmptyString(transcriptId));
+  } = useTranscriptGet(later ? null : transcriptId);

  const [serviceWorker, setServiceWorker] =
    useState<ServiceWorkerRegistration | null>(null);
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Igor Loskutov	b84fd1fc24	cleanup	2026-01-13 12:46:03 -05:00
Igor Loskutov	3652de9fca	md	2026-01-13 12:44:43 -05:00
Igor Loskutov	68df825734	test: fix WebSocket chat tests using async approach Replaced TestClient-based tests with proper async WebSocket testing using httpx_ws and threaded server pattern. TestClient has event loop issues with WebSocket connections that were causing all tests to fail. Changes: - Rewrote all WebSocket tests to use aconnect_ws from httpx_ws - Added chat_appserver fixture using threaded Uvicorn server - Tests now use separate event loop in server thread - All 6 tests now pass without asyncio/event loop errors - Matches existing pattern from test_transcripts_rtc_ws.py Tests validate: - WebSocket connection and echo behavior - Error handling for non-existent transcripts - Multiple sequential messages - Graceful disconnection - WebVTT context generation - Unknown message type handling Closes fn-1.8 (End-to-end testing)	2026-01-12 20:17:42 -05:00
Igor Loskutov	8ca5324c1a	feat: integrate TranscriptChatModal and button into transcript page	2026-01-12 20:08:59 -05:00
Igor Loskutov	39e0b89e67	feat: add TranscriptChatModal and TranscriptChatButton components	2026-01-12 19:59:01 -05:00
Igor Loskutov	544793a24f	chore: mark fn-1.5 as done (Frontend WebSocket hook) Task fn-1.5 completed - useTranscriptChat React hook already implemented in commit `2dfe82af`. Hook provides: - WebSocket connection to /v1/transcripts/{id}/chat endpoint - Token streaming with ref-based accumulation - Message history management (user + assistant) - Memory leak prevention with isMountedRef - TypeScript type safety - Proper WebSocket lifecycle and cleanup Updated task documentation with acceptance criteria and evidence.	2026-01-12 19:49:14 -05:00
Igor Loskutov	088451645a	chore: mark fn-1.4 as done (WebSocket route registration)	2026-01-12 19:42:26 -05:00
Igor Loskutov	2dfe82afbc	feat: add useTranscriptChat WebSocket hook Task 5: Frontend WebSocket Hook - Creates React hook for bidirectional chat WebSocket - Handles token streaming with proper state accumulation - Manages conversation history (user + assistant messages) - Prevents memory leaks with isMounted check - Proper cleanup on unmount - Type-safe Message interface Validated: - No React dependency issues (removed currentStreamingText from deps) - No stale closure bugs (using ref for streaming text) - Proper mounted state tracking - Lint passes with no errors - TypeScript types correctly defined - WebSocket cleanup on unmount ~100 lines	2026-01-12 18:44:09 -05:00
Igor Loskutov	b461ebb488	feat: register transcript chat WebSocket route - Import transcripts_chat router - Register /v1/transcripts/{id}/chat endpoint - Completes LLM streaming integration (fn-1.3)	2026-01-12 18:41:11 -05:00
Igor Loskutov	0b5112cabc	feat: add LLM streaming integration to transcript chat Task 3: LLM Streaming Integration - Import Settings, ChatMessage, MessageRole from llama-index - Configure LLM with temperature 0.7 on connection - Build system message with WebVTT transcript context (max 15k chars) - Initialize conversation history with system message - Handle 'message' type from client to trigger LLM streaming - Stream LLM response using Settings.llm.astream_chat() - Send tokens incrementally via 'token' messages - Send 'done' message when streaming completes - Maintain conversation history across multiple messages - Add error handling with 'error' message type - Add message protocol validation test Implements Tasks 3 & 4 from TASKS.md	2026-01-12 18:28:43 -05:00
Igor Loskutov	316f7b316d	feat: add WebVTT context generation to chat WebSocket endpoint - Import topics_to_webvtt_named and recordings controller - Add _get_is_multitrack helper function - Generate WebVTT context on WebSocket connection - Add get_context message type to retrieve WebVTT - Maintain backward compatibility with echo for other messages - Add test fixture and test for WebVTT context generation Implements task fn-1.2: WebVTT context generation for transcript chat	2026-01-12 18:24:47 -05:00