fix: convert DB models to view models in bulk-status endpoint

model_validate(from_attributes=True) needed to convert DB Meeting and CalendarEvent to their view-layer Pydantic counterparts.
Merge branch 'main' into fix-room-query-batching
2026-03-22 07:06:47 +00:00 · 2026-02-05 21:56:45 -05:00 · 2026-02-05 19:42:29 -05:00 · 2026-02-05 19:40:13 -05:00 · 2026-02-05 19:36:17 -05:00 · 2026-02-05 19:06:32 -05:00
54 changed files with 2189 additions and 1496 deletions
--- a/.github/workflows/test_next_server.yml
+++ b/.github/workflows/test_next_server.yml
@@ -13,6 +13,9 @@ on:
 jobs:
  test-next-server:
    runs-on: ubuntu-latest
+    concurrency:
+      group: test-next-server-${{ github.ref }}
+      cancel-in-progress: true

    defaults:
      run:
@@ -21,17 +24,12 @@ jobs:
    steps:
    - uses: actions/checkout@v4

-    - name: Setup Node.js
-      uses: actions/setup-node@v4
-      with:
-        node-version: '20'
-
    - name: Install pnpm
      uses: pnpm/action-setup@v4
      with:
-        version: 8
+        package_json_file: './www/package.json'

-    - name: Setup Node.js cache
+    - name: Setup Node.js
      uses: actions/setup-node@v4
      with:
        node-version: '20'
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,17 +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)


--- a/docker-compose.standalone.yml
+++ b/docker-compose.standalone.yml
@@ -1,120 +0,0 @@
-# Standalone services for fully local deployment (no external dependencies).
-# Usage: docker compose -f docker-compose.yml -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:
-  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
-
-  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
-
-  # Override server/worker/beat to use self-hosted GPU service for transcription+diarization.
-  # compose `environment:` overrides values from `env_file:` — no need to edit server/.env.
-  server:
-    environment:
-      TRANSCRIPT_BACKEND: modal
-      TRANSCRIPT_URL: http://localhost:8100
-      TRANSCRIPT_MODAL_API_KEY: local
-      DIARIZATION_BACKEND: modal
-      DIARIZATION_URL: http://localhost:8100
-
-  worker:
-    environment:
-      TRANSCRIPT_BACKEND: modal
-      TRANSCRIPT_URL: http://cpu:8000
-      TRANSCRIPT_MODAL_API_KEY: local
-      DIARIZATION_BACKEND: modal
-      DIARIZATION_URL: http://cpu:8000
-
-  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
-
-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:
@@ -43,9 +33,6 @@ services:
      - ./server/.env
    environment:
      ENTRYPOINT: beat
-    depends_on:
-      redis:
-        condition: service_started

  hatchet-worker-cpu:
    build:
@@ -57,8 +44,6 @@ services:
      - ./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
@@ -72,8 +57,6 @@ services:
      - ./server/.env
    environment:
      ENTRYPOINT: hatchet-worker-llm
-      HATCHET_CLIENT_SERVER_URL: http://hatchet:8888
-      HATCHET_CLIENT_HOST_PORT: hatchet:7077
    depends_on:
      hatchet:
        condition: service_healthy
@@ -92,16 +75,10 @@ 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 +94,13 @@ 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 +108,7 @@ 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 +128,6 @@ services:
      retries: 5
      start_period: 30s

-volumes:
-  next_cache:
+networks:
+  default:
+    attachable: true
--- 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.yml -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/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/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
@@ -1,417 +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 ---
-
-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.yml -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 $1}' | grep -qx "$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 $1}' | grep -qx "$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
-
-    # 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"
-    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 [[ "$cpu_ok" == "true" ]]; then
-        ok "CPU service healthy (transcription + diarization)"
-    else
-        warn "CPU service not ready yet — it will keep loading in the background"
-        warn "Check with: docker compose logs cpu"
-    fi
-
-    wait_for_url "http://localhost:1250/health" "Server API" 60 3
-    echo ""
-    ok "Server API healthy"
-
-    wait_for_url "http://localhost:3000" "Frontend" 90 3
-    echo ""
-    ok "Frontend responding"
-
-    # Check LLM reachability from inside a container
-    if compose_cmd exec -T server \
-        curl -sf "$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 $ROOT_DIR"
-        err "Run this script from the repo root: ./scripts/setup-standalone.sh"
-        exit 1
-    fi
-
-
-    # LLM_URL_VALUE is set by step_llm, used by later steps
-    LLM_URL_VALUE=""
-    OLLAMA_PROFILE=""
-
-    # docker-compose.yml may reference env_files that don't exist yet;
-    # touch them so compose_cmd works before the steps that populate them.
-    touch "$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/pyproject.toml
+++ b/server/pyproject.toml
@@ -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/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/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
@@ -9,13 +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():
+def current_user_optional(token: Annotated[str, Depends(oauth2_scheme)]):
    return None
--- a/server/reflector/dailyco_api/client.py
+++ b/server/reflector/dailyco_api/client.py
@@ -146,8 +146,6 @@ class DailyApiClient:
            )
            raise DailyApiError(operation, response)

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

    # ============================================================================
--- 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/calendar_events.py
+++ b/server/reflector/db/calendar_events.py
@@ -104,6 +104,26 @@ class CalendarEventController:
        results = await get_database().fetch_all(query)
        return [CalendarEvent(**result) for result in results]

+    async def get_upcoming_for_rooms(
+        self, room_ids: list[str], minutes_ahead: int = 120
+    ) -> list[CalendarEvent]:
+        now = datetime.now(timezone.utc)
+        future_time = now + timedelta(minutes=minutes_ahead)
+        query = (
+            calendar_events.select()
+            .where(
+                sa.and_(
+                    calendar_events.c.room_id.in_(room_ids),
+                    calendar_events.c.is_deleted == False,
+                    calendar_events.c.start_time <= future_time,
+                    calendar_events.c.end_time >= now,
+                )
+            )
+            .order_by(calendar_events.c.start_time.asc())
+        )
+        results = await get_database().fetch_all(query)
+        return [CalendarEvent(**result) for result in results]
+
    async def get_by_id(self, event_id: str) -> CalendarEvent | None:
        query = calendar_events.select().where(calendar_events.c.id == event_id)
        result = await get_database().fetch_one(query)
--- a/server/reflector/db/meetings.py
+++ b/server/reflector/db/meetings.py
@@ -301,6 +301,23 @@ class MeetingController:
        results = await get_database().fetch_all(query)
        return [Meeting(**result) for result in results]

+    async def get_all_active_for_rooms(
+        self, room_ids: list[str], current_time: datetime
+    ) -> list[Meeting]:
+        query = (
+            meetings.select()
+            .where(
+                sa.and_(
+                    meetings.c.room_id.in_(room_ids),
+                    meetings.c.end_date > current_time,
+                    meetings.c.is_active,
+                )
+            )
+            .order_by(meetings.c.end_date.desc())
+        )
+        results = await get_database().fetch_all(query)
+        return [Meeting(**result) for result in results]
+
    async def get_active_by_calendar_event(
        self, room: Room, calendar_event_id: str, current_time: datetime
    ) -> Meeting | None:
--- a/server/reflector/db/rooms.py
+++ b/server/reflector/db/rooms.py
@@ -238,6 +238,11 @@ class RoomController:

        return room

+    async def get_by_names(self, names: list[str]) -> list[Room]:
+        query = rooms.select().where(rooms.c.name.in_(names))
+        results = await get_database().fetch_all(query)
+        return [Room(**r) for r in results]
+
    async def get_ics_enabled(self) -> list[Room]:
        query = rooms.select().where(
            rooms.c.ics_enabled == True, rooms.c.ics_url != None
--- 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
@@ -406,7 +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:
--- 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/run_workers_llm.py
+++ b/server/reflector/hatchet/run_workers_llm.py
@@ -3,8 +3,6 @@ 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,
@@ -22,15 +20,6 @@ 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,
--- a/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
+++ b/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
@@ -171,13 +171,11 @@ 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,
    )


@@ -720,6 +718,7 @@ async def detect_topics(input: PipelineInput, ctx: Context) -> TopicsResult:
                chunk_text=chunk["text"],
                timestamp=chunk["timestamp"],
                duration=chunk["duration"],
+                words=chunk["words"],
            )
        )
        for chunk in chunks
@@ -731,41 +730,31 @@ async def detect_topics(input: PipelineInput, ctx: Context) -> TopicsResult:
        TopicChunkResult(**result[TaskName.DETECT_CHUNK_TOPIC]) for result in results
    ]

-    # Build index-to-words map from local chunks (words not in child workflow results)
-    chunks_by_index = {chunk["index"]: chunk["words"] for chunk in chunks}
-
    async with fresh_db_connection():
        transcript = await transcripts_controller.get_by_id(input.transcript_id)
        if not transcript:
            raise ValueError(f"Transcript {input.transcript_id} not found")

-        # Clear topics for idempotency on retry (each topic gets a fresh UUID,
-        # so upsert_topic would append duplicates without this)
-        await transcripts_controller.update(transcript, {"topics": []})
-
        for chunk in topic_chunks:
-            chunk_words = chunks_by_index[chunk.chunk_index]
            topic = TranscriptTopic(
                title=chunk.title,
                summary=chunk.summary,
                timestamp=chunk.timestamp,
-                transcript=" ".join(w.text for w in chunk_words),
-                words=chunk_words,
+                transcript=" ".join(w.text for w in chunk.words),
+                words=chunk.words,
            )
            await transcripts_controller.upsert_topic(transcript, topic)
            await append_event_and_broadcast(
                input.transcript_id, transcript, "TOPIC", topic, logger=logger
            )

-    # Words omitted from TopicsResult — already persisted to DB above.
-    # Downstream tasks that need words refetch from DB.
    topics_list = [
        TitleSummary(
            title=chunk.title,
            summary=chunk.summary,
            timestamp=chunk.timestamp,
            duration=chunk.duration,
-            transcript=TranscriptType(words=[]),
+            transcript=TranscriptType(words=chunk.words),
        )
        for chunk in topic_chunks
    ]
@@ -851,8 +840,9 @@ async def extract_subjects(input: PipelineInput, ctx: Context) -> SubjectsResult
    ctx.log(f"extract_subjects: starting for transcript_id={input.transcript_id}")

    topics_result = ctx.task_output(detect_topics)
+    topics = topics_result.topics

-    if not topics_result.topics:
+    if not topics:
        ctx.log("extract_subjects: no topics, returning empty subjects")
        return SubjectsResult(
            subjects=[],
@@ -865,13 +855,11 @@ async def extract_subjects(input: PipelineInput, ctx: Context) -> SubjectsResult
    # sharing DB connections and LLM HTTP pools across forks
    from reflector.db.transcripts import transcripts_controller  # noqa: PLC0415
    from reflector.llm import LLM  # noqa: PLC0415
-    from reflector.processors.types import words_to_segments  # noqa: PLC0415

    async with fresh_db_connection():
        transcript = await transcripts_controller.get_by_id(input.transcript_id)

-        # Build transcript text from DB topics (words omitted from task output
-        # to reduce Hatchet payload size — refetch from DB where they were persisted)
+        # Build transcript text from topics (same logic as TranscriptFinalSummaryProcessor)
        speakermap = {}
        if transcript and transcript.participants:
            speakermap = {
@@ -881,8 +869,8 @@ async def extract_subjects(input: PipelineInput, ctx: Context) -> SubjectsResult
            }

        text_lines = []
-        for db_topic in transcript.topics:
-            for segment in words_to_segments(db_topic.words):
+        for topic in topics:
+            for segment in topic.transcript.as_segments():
                name = speakermap.get(segment.speaker, f"Speaker {segment.speaker}")
                text_lines.append(f"{name}: {segment.text}")

--- a/server/reflector/hatchet/workflows/models.py
+++ b/server/reflector/hatchet/workflows/models.py
@@ -95,6 +95,7 @@ class TopicChunkResult(BaseModel):
    summary: str
    timestamp: float
    duration: float
+    words: list[Word]


 class TopicsResult(BaseModel):
--- a/server/reflector/hatchet/workflows/padding_workflow.py
+++ b/server/reflector/hatchet/workflows/padding_workflow.py
@@ -49,13 +49,11 @@ async def pad_track(input: PaddingInput, ctx: Context) -> PadTrackResult:
        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(
--- a/server/reflector/hatchet/workflows/topic_chunk_processing.py
+++ b/server/reflector/hatchet/workflows/topic_chunk_processing.py
@@ -20,6 +20,7 @@ from reflector.hatchet.constants import LLM_RATE_LIMIT_KEY, TIMEOUT_MEDIUM
 from reflector.hatchet.workflows.models import TopicChunkResult
 from reflector.logger import logger
 from reflector.processors.prompts import TOPIC_PROMPT
+from reflector.processors.types import Word


 class TopicChunkInput(BaseModel):
@@ -29,6 +30,7 @@ class TopicChunkInput(BaseModel):
    chunk_text: str
    timestamp: float
    duration: float
+    words: list[Word]


 hatchet = HatchetClientManager.get_client()
@@ -97,4 +99,5 @@ async def detect_chunk_topic(input: TopicChunkInput, ctx: Context) -> TopicChunk
        summary=response.summary,
        timestamp=input.timestamp,
        duration=input.duration,
+        words=input.words,
    )
--- a/server/reflector/hatchet/workflows/track_processing.py
+++ b/server/reflector/hatchet/workflows/track_processing.py
@@ -60,7 +60,6 @@ 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 +68,6 @@ 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(
@@ -161,7 +159,6 @@ 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 +167,6 @@ 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/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/services/transcript_process.py
+++ b/server/reflector/services/transcript_process.py
@@ -97,11 +97,8 @@ 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
-    ):
+    # Check if recording is ready for processing
+    if transcript.status == "idle" and not transcript.workflow_run_id:
        return ValidationNotReady(detail="Recording is not ready for processing")

    # Check Celery tasks
--- a/server/reflector/settings.py
+++ b/server/reflector/settings.py
@@ -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
@@ -94,6 +95,9 @@ class Settings(BaseSettings):
    # Diarization: modal backend
    DIARIZATION_MODAL_API_KEY: str | None = None

+    # Diarization: local pyannote.audio
+    DIARIZATION_PYANNOTE_AUTH_TOKEN: str | None = None
+
    # Audio Padding (Modal.com backend)
    PADDING_URL: str | None = None
    PADDING_MODAL_API_KEY: str | None = None
--- 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/views/daily.py
+++ b/server/reflector/views/daily.py
@@ -80,14 +80,7 @@ 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:
--- a/server/reflector/views/rooms.py
+++ b/server/reflector/views/rooms.py
@@ -1,4 +1,6 @@
+import asyncio
 import logging
+from collections import defaultdict
 from datetime import datetime, timedelta, timezone
 from enum import Enum
 from typing import Annotated, Any, Literal, Optional
@@ -6,13 +8,14 @@ from typing import Annotated, Any, Literal, Optional
 from fastapi import APIRouter, Depends, HTTPException
 from fastapi_pagination import Page
 from fastapi_pagination.ext.databases import apaginate
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from redis.exceptions import LockError

 import reflector.auth as auth
 from reflector.db import get_database
 from reflector.db.calendar_events import calendar_events_controller
 from reflector.db.meetings import meetings_controller
+from reflector.db.rooms import Room as DbRoom
 from reflector.db.rooms import rooms_controller
 from reflector.redis_cache import RedisAsyncLock
 from reflector.schemas.platform import Platform
@@ -195,6 +198,73 @@ async def rooms_list(
    return paginated


+class BulkStatusRequest(BaseModel):
+    room_names: list[str] = Field(max_length=100)
+
+
+class RoomMeetingStatus(BaseModel):
+    active_meetings: list[Meeting]
+    upcoming_events: list[CalendarEventResponse]
+
+
+@router.post("/rooms/meetings/bulk-status", response_model=dict[str, RoomMeetingStatus])
+async def rooms_bulk_meeting_status(
+    request: BulkStatusRequest,
+    user: Annotated[Optional[auth.UserInfo], Depends(auth.current_user_optional)],
+):
+    user_id = user["sub"] if user else None
+
+    all_rooms = await rooms_controller.get_by_names(request.room_names)
+    # Filter to rooms the user can see (owned or shared), matching rooms_list behavior
+    rooms = [
+        r
+        for r in all_rooms
+        if r.is_shared or (user_id is not None and r.user_id == user_id)
+    ]
+    room_by_id: dict[str, DbRoom] = {r.id: r for r in rooms}
+    room_ids = list(room_by_id.keys())
+
+    current_time = datetime.now(timezone.utc)
+    active_meetings, upcoming_events = await asyncio.gather(
+        meetings_controller.get_all_active_for_rooms(room_ids, current_time),
+        calendar_events_controller.get_upcoming_for_rooms(room_ids),
+    )
+
+    # Group by room name
+    active_by_room: dict[str, list[Meeting]] = defaultdict(list)
+    for m in active_meetings:
+        room = room_by_id.get(m.room_id)
+        if not room:
+            continue
+        m.platform = room.platform
+        if user_id != room.user_id and m.platform == "whereby":
+            m.host_room_url = ""
+        active_by_room[room.name].append(
+            Meeting.model_validate(m, from_attributes=True)
+        )
+
+    upcoming_by_room: dict[str, list[CalendarEventResponse]] = defaultdict(list)
+    for e in upcoming_events:
+        room = room_by_id.get(e.room_id)
+        if not room:
+            continue
+        if user_id != room.user_id:
+            e.description = None
+            e.attendees = None
+        upcoming_by_room[room.name].append(
+            CalendarEventResponse.model_validate(e, from_attributes=True)
+        )
+
+    result: dict[str, RoomMeetingStatus] = {}
+    for name in request.room_names:
+        result[name] = RoomMeetingStatus(
+            active_meetings=active_by_room.get(name, []),
+            upcoming_events=upcoming_by_room.get(name, []),
+        )
+
+    return result
+
+
@router.get("/rooms/{room_id}", response_model=RoomDetails)
 async def rooms_get(
    room_id: str,
--- 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/user_websocket.py
+++ b/server/reflector/views/user_websocket.py
@@ -1,6 +1,6 @@
 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
@@ -60,8 +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/ws_manager.py
+++ b/server/reflector/ws_manager.py
@@ -48,15 +48,7 @@ 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)
--- 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/test_hatchet_dispatch.py
+++ b/server/tests/test_hatchet_dispatch.py
@@ -255,7 +255,7 @@ 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 +274,6 @@ 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_hatchet_payload_thinning.py
+++ b/server/tests/test_hatchet_payload_thinning.py
@@ -1,185 +0,0 @@
-"""
-Tests for Hatchet payload thinning optimizations.
-
-Verifies that:
-1. TopicChunkInput no longer carries words
-2. TopicChunkResult no longer carries words
-3. words_to_segments() matches Transcript.as_segments(is_multitrack=False) — behavioral equivalence
-   for the extract_subjects refactoring
-4. TopicsResult can be constructed with empty transcript words
-"""
-
-from reflector.hatchet.workflows.models import TopicChunkResult
-from reflector.hatchet.workflows.topic_chunk_processing import TopicChunkInput
-from reflector.processors.types import Word
-
-
-def _make_words(speaker: int = 0, start: float = 0.0) -> list[Word]:
-    return [
-        Word(text="Hello", start=start, end=start + 0.5, speaker=speaker),
-        Word(text=" world.", start=start + 0.5, end=start + 1.0, speaker=speaker),
-    ]
-
-
-class TestTopicChunkInputNoWords:
-    """TopicChunkInput must not have a words field."""
-
-    def test_no_words_field(self):
-        assert "words" not in TopicChunkInput.model_fields
-
-    def test_construction_without_words(self):
-        inp = TopicChunkInput(
-            chunk_index=0, chunk_text="Hello world.", timestamp=0.0, duration=1.0
-        )
-        assert inp.chunk_index == 0
-        assert inp.chunk_text == "Hello world."
-
-    def test_rejects_words_kwarg(self):
-        """Passing words= should raise a validation error (field doesn't exist)."""
-        import pydantic
-
-        try:
-            TopicChunkInput(
-                chunk_index=0,
-                chunk_text="text",
-                timestamp=0.0,
-                duration=1.0,
-                words=_make_words(),
-            )
-            # If pydantic is configured to ignore extra, this won't raise.
-            # Verify the field is still absent from the model.
-            assert "words" not in TopicChunkInput.model_fields
-        except pydantic.ValidationError:
-            pass  # Expected
-
-
-class TestTopicChunkResultNoWords:
-    """TopicChunkResult must not have a words field."""
-
-    def test_no_words_field(self):
-        assert "words" not in TopicChunkResult.model_fields
-
-    def test_construction_without_words(self):
-        result = TopicChunkResult(
-            chunk_index=0,
-            title="Test",
-            summary="Summary",
-            timestamp=0.0,
-            duration=1.0,
-        )
-        assert result.title == "Test"
-        assert result.chunk_index == 0
-
-    def test_serialization_roundtrip(self):
-        """Serialized TopicChunkResult has no words key."""
-        result = TopicChunkResult(
-            chunk_index=0,
-            title="Test",
-            summary="Summary",
-            timestamp=0.0,
-            duration=1.0,
-        )
-        data = result.model_dump()
-        assert "words" not in data
-        reconstructed = TopicChunkResult(**data)
-        assert reconstructed == result
-
-
-class TestWordsToSegmentsBehavioralEquivalence:
-    """words_to_segments() must produce same output as Transcript.as_segments(is_multitrack=False).
-
-    This ensures the extract_subjects refactoring (from task output topic.transcript.as_segments()
-    to words_to_segments(db_topic.words)) preserves identical behavior.
-    """
-
-    def test_single_speaker(self):
-        from reflector.processors.types import Transcript as TranscriptType
-        from reflector.processors.types import words_to_segments
-
-        words = _make_words(speaker=0)
-        direct = words_to_segments(words)
-        via_transcript = TranscriptType(words=words).as_segments(is_multitrack=False)
-
-        assert len(direct) == len(via_transcript)
-        for d, v in zip(direct, via_transcript):
-            assert d.text == v.text
-            assert d.speaker == v.speaker
-            assert d.start == v.start
-            assert d.end == v.end
-
-    def test_multiple_speakers(self):
-        from reflector.processors.types import Transcript as TranscriptType
-        from reflector.processors.types import words_to_segments
-
-        words = [
-            Word(text="Hello", start=0.0, end=0.5, speaker=0),
-            Word(text=" world.", start=0.5, end=1.0, speaker=0),
-            Word(text=" How", start=1.0, end=1.5, speaker=1),
-            Word(text=" are", start=1.5, end=2.0, speaker=1),
-            Word(text=" you?", start=2.0, end=2.5, speaker=1),
-        ]
-
-        direct = words_to_segments(words)
-        via_transcript = TranscriptType(words=words).as_segments(is_multitrack=False)
-
-        assert len(direct) == len(via_transcript)
-        for d, v in zip(direct, via_transcript):
-            assert d.text == v.text
-            assert d.speaker == v.speaker
-
-    def test_empty_words(self):
-        from reflector.processors.types import Transcript as TranscriptType
-        from reflector.processors.types import words_to_segments
-
-        assert words_to_segments([]) == []
-        assert TranscriptType(words=[]).as_segments(is_multitrack=False) == []
-
-
-class TestTopicsResultEmptyWords:
-    """TopicsResult can carry topics with empty transcript words."""
-
-    def test_construction_with_empty_words(self):
-        from reflector.hatchet.workflows.models import TopicsResult
-        from reflector.processors.types import TitleSummary
-        from reflector.processors.types import Transcript as TranscriptType
-
-        topics = [
-            TitleSummary(
-                title="Topic A",
-                summary="Summary A",
-                timestamp=0.0,
-                duration=5.0,
-                transcript=TranscriptType(words=[]),
-            ),
-            TitleSummary(
-                title="Topic B",
-                summary="Summary B",
-                timestamp=5.0,
-                duration=5.0,
-                transcript=TranscriptType(words=[]),
-            ),
-        ]
-        result = TopicsResult(topics=topics)
-        assert len(result.topics) == 2
-        for t in result.topics:
-            assert t.transcript.words == []
-
-    def test_serialization_roundtrip(self):
-        from reflector.hatchet.workflows.models import TopicsResult
-        from reflector.processors.types import TitleSummary
-        from reflector.processors.types import Transcript as TranscriptType
-
-        topics = [
-            TitleSummary(
-                title="Topic",
-                summary="Summary",
-                timestamp=0.0,
-                duration=1.0,
-                transcript=TranscriptType(words=[]),
-            )
-        ]
-        result = TopicsResult(topics=topics)
-        data = result.model_dump()
-        reconstructed = TopicsResult(**data)
-        assert len(reconstructed.topics) == 1
-        assert reconstructed.topics[0].transcript.words == []
--- 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/uv.lock
+++ b/server/uv.lock
@@ -235,6 +235,12 @@ wheels = [
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 ]

+[[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 }
+
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 name = "anyio"
 version = "4.9.0"
@@ -261,6 +267,21 @@ wheels = [
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+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 = [
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+
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 name = "async-timeout"
 version = "5.0.1"
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+[[package]]
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+version = "6.9.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "colorama", marker = "sys_platform == 'win32'" },
+]
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+[[package]]
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 version = "0.8.0"
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+[[package]]
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+version = "0.6.2"
+source = { registry = "https://pypi.org/simple" }
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+
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+    { 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 +4064,40 @@ 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 +4145,22 @@ 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)/transcripts/[transcriptId]/processing/page.tsx
+++ b/www/app/(app)/transcripts/[transcriptId]/processing/page.tsx
@@ -11,7 +11,6 @@ import {
 import { useRouter } from "next/navigation";
 import { useTranscriptGet } from "../../../../lib/apiHooks";
 import { parseNonEmptyString } from "../../../../lib/utils";
-import { useWebSockets } from "../../useWebSockets";

 type TranscriptProcessing = {
  params: Promise<{
@@ -25,7 +24,6 @@ export default function TranscriptProcessing(details: TranscriptProcessing) {
  const router = useRouter();

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

  useEffect(() => {
    const status = transcript.data?.status;
--- a/www/app/(app)/transcripts/useWebRTC.ts
+++ b/www/app/(app)/transcripts/useWebRTC.ts
@@ -23,16 +23,7 @@ const useWebRTC = (
    let p: Peer;

    try {
-      p = new Peer({
-        initiator: true,
-        stream: stream,
-        // Disable trickle ICE: single SDP exchange (offer + answer) with all candidates.
-        // Required for HTTP-based signaling; trickle needs WebSocket for candidate exchange.
-        trickle: false,
-        config: {
-          iceServers: [{ urls: "stun:stun.l.google.com:19302" }],
-        },
-      });
+      p = new Peer({ initiator: true, stream: stream });
    } catch (error) {
      setError(error as Error, "Error creating WebRTC");
      return;
--- a/www/app/(app)/transcripts/useWebSockets.ts
+++ b/www/app/(app)/transcripts/useWebSockets.ts
@@ -431,7 +431,6 @@ export const useWebSockets = (transcriptId: string | null): UseWebSockets => {
              );
            }
            setStatus(message.data);
-            invalidateTranscript(queryClient, transcriptId as NonEmptyString);
            if (message.data.value === "ended") {
              ws.close();
            }
--- a/www/app/lib/tests/meetingStatusBatcher.test.tsx
+++ b/www/app/lib/tests/meetingStatusBatcher.test.tsx
@@ -0,0 +1,217 @@
+import "@testing-library/jest-dom";
+
+// --- Module mocks (hoisted before imports) ---
+
+jest.mock("../apiClient", () => ({
+  client: {
+    GET: jest.fn(),
+    POST: jest.fn(),
+    PUT: jest.fn(),
+    PATCH: jest.fn(),
+    DELETE: jest.fn(),
+    use: jest.fn(),
+  },
+  $api: {
+    useQuery: jest.fn(),
+    useMutation: jest.fn(),
+    queryOptions: (method: string, path: string, init?: unknown) =>
+      init === undefined
+        ? { queryKey: [method, path] }
+        : { queryKey: [method, path, init] },
+  },
+  API_URL: "http://test",
+  WEBSOCKET_URL: "ws://test",
+  configureApiAuth: jest.fn(),
+}));
+
+jest.mock("../AuthProvider", () => ({
+  useAuth: () => ({
+    status: "authenticated" as const,
+    accessToken: "test-token",
+    accessTokenExpires: Date.now() + 3600000,
+    user: { id: "user1", name: "Test User" },
+    update: jest.fn(),
+    signIn: jest.fn(),
+    signOut: jest.fn(),
+    lastUserId: "user1",
+  }),
+}));
+
+// Recreate the batcher with a 0ms window. setTimeout(fn, 0) defers to the next
+// macrotask boundary — after all synchronous React rendering completes. All
+// useQuery queryFns fire within the same macrotask, so they all queue into one
+// batch before the timer fires. This is deterministic and avoids fake timers.
+jest.mock("../meetingStatusBatcher", () => {
+  const actual = jest.requireActual("../meetingStatusBatcher");
+  return {
+    ...actual,
+    meetingStatusBatcher: actual.createMeetingStatusBatcher(0),
+  };
+});
+
+// --- Imports (after mocks) ---
+
+import React from "react";
+import { render, waitFor, screen } from "@testing-library/react";
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
+import { useRoomActiveMeetings, useRoomUpcomingMeetings } from "../apiHooks";
+import { client } from "../apiClient";
+import { ErrorProvider } from "../../(errors)/errorContext";
+
+const mockClient = client as { POST: jest.Mock };
+
+// --- Helpers ---
+
+function mockBulkStatusEndpoint(
+  roomData?: Record<
+    string,
+    { active_meetings: unknown[]; upcoming_events: unknown[] }
+  >,
+) {
+  mockClient.POST.mockImplementation(
+    async (_path: string, options: { body: { room_names: string[] } }) => {
+      const roomNames: string[] = options.body.room_names;
+      const src = roomData ?? {};
+      const data = Object.fromEntries(
+        roomNames.map((name) => [
+          name,
+          src[name] ?? { active_meetings: [], upcoming_events: [] },
+        ]),
+      );
+      return { data, error: undefined, response: {} };
+    },
+  );
+}
+
+// --- Test component: renders N room cards, each using both hooks ---
+
+function RoomCard({ roomName }: { roomName: string }) {
+  const active = useRoomActiveMeetings(roomName);
+  const upcoming = useRoomUpcomingMeetings(roomName);
+
+  if (active.isLoading || upcoming.isLoading) {
+    return <div data-testid={`room-${roomName}`}>loading</div>;
+  }
+
+  return (
+    <div data-testid={`room-${roomName}`}>
+      {active.data?.length ?? 0} active, {upcoming.data?.length ?? 0} upcoming
+    </div>
+  );
+}
+
+function RoomList({ roomNames }: { roomNames: string[] }) {
+  return (
+    <>
+      {roomNames.map((name) => (
+        <RoomCard key={name} roomName={name} />
+      ))}
+    </>
+  );
+}
+
+function createWrapper() {
+  const queryClient = new QueryClient({
+    defaultOptions: {
+      queries: { retry: false },
+    },
+  });
+  return function Wrapper({ children }: { children: React.ReactNode }) {
+    return (
+      <QueryClientProvider client={queryClient}>
+        <ErrorProvider>{children}</ErrorProvider>
+      </QueryClientProvider>
+    );
+  };
+}
+
+// --- Tests ---
+
+describe("meeting status batcher integration", () => {
+  afterEach(() => jest.clearAllMocks());
+
+  it("batches multiple room queries into a single POST request", async () => {
+    const rooms = Array.from({ length: 10 }, (_, i) => `room-${i}`);
+
+    mockBulkStatusEndpoint();
+
+    render(<RoomList roomNames={rooms} />, { wrapper: createWrapper() });
+
+    await waitFor(() => {
+      for (const name of rooms) {
+        expect(screen.getByTestId(`room-${name}`)).toHaveTextContent(
+          "0 active, 0 upcoming",
+        );
+      }
+    });
+
+    const postCalls = mockClient.POST.mock.calls.filter(
+      ([path]: [string]) => path === "/v1/rooms/meetings/bulk-status",
+    );
+
+    // Without batching this would be 20 calls (2 hooks x 10 rooms).
+    expect(postCalls).toHaveLength(1);
+
+    // The single call should contain all 10 rooms (deduplicated)
+    const requestedRooms: string[] = postCalls[0][1].body.room_names;
+    for (const name of rooms) {
+      expect(requestedRooms).toContain(name);
+    }
+  });
+
+  it("batcher fetcher returns room-specific data", async () => {
+    const {
+      meetingStatusBatcher: batcher,
+    } = require("../meetingStatusBatcher");
+
+    mockBulkStatusEndpoint({
+      "room-a": {
+        active_meetings: [{ id: "m1", room_name: "room-a" }],
+        upcoming_events: [],
+      },
+      "room-b": {
+        active_meetings: [],
+        upcoming_events: [{ id: "e1", title: "Standup" }],
+      },
+    });
+
+    const [resultA, resultB] = await Promise.all([
+      batcher.fetch("room-a"),
+      batcher.fetch("room-b"),
+    ]);
+
+    expect(mockClient.POST).toHaveBeenCalledTimes(1);
+    expect(resultA.active_meetings).toEqual([
+      { id: "m1", room_name: "room-a" },
+    ]);
+    expect(resultA.upcoming_events).toEqual([]);
+    expect(resultB.active_meetings).toEqual([]);
+    expect(resultB.upcoming_events).toEqual([{ id: "e1", title: "Standup" }]);
+  });
+
+  it("renders room-specific meeting data through hooks", async () => {
+    mockBulkStatusEndpoint({
+      "room-a": {
+        active_meetings: [{ id: "m1", room_name: "room-a" }],
+        upcoming_events: [],
+      },
+      "room-b": {
+        active_meetings: [],
+        upcoming_events: [{ id: "e1", title: "Standup" }],
+      },
+    });
+
+    render(<RoomList roomNames={["room-a", "room-b"]} />, {
+      wrapper: createWrapper(),
+    });
+
+    await waitFor(() => {
+      expect(screen.getByTestId("room-room-a")).toHaveTextContent(
+        "1 active, 0 upcoming",
+      );
+      expect(screen.getByTestId("room-room-b")).toHaveTextContent(
+        "0 active, 1 upcoming",
+      );
+    });
+  });
+});
--- a/www/app/lib/apiHooks.ts
+++ b/www/app/lib/apiHooks.ts
@@ -2,9 +2,10 @@

 import { $api } from "./apiClient";
 import { useError } from "../(errors)/errorContext";
-import { QueryClient, useQueryClient } from "@tanstack/react-query";
+import { QueryClient, useQuery, useQueryClient } from "@tanstack/react-query";
 import type { components } from "../reflector-api";
 import { useAuth } from "./AuthProvider";
+import { meetingStatusBatcher } from "./meetingStatusBatcher";
 import { MeetingId } from "./types";
 import { NonEmptyString } from "./utils";

@@ -697,15 +698,7 @@ export function useRoomsCreateMeeting() {
          queryKey: $api.queryOptions("get", "/v1/rooms").queryKey,
        }),
        queryClient.invalidateQueries({
-          queryKey: $api.queryOptions(
-            "get",
-            "/v1/rooms/{room_name}/meetings/active" satisfies `/v1/rooms/{room_name}/${typeof MEETINGS_ACTIVE_PATH_PARTIAL}`,
-            {
-              params: {
-                path: { room_name: roomName },
-              },
-            },
-          ).queryKey,
+          queryKey: meetingStatusKeys.active(roomName),
        }),
      ]);
    },
@@ -734,42 +727,39 @@ export function useRoomGetByName(roomName: string | null) {
 export function useRoomUpcomingMeetings(roomName: string | null) {
  const { isAuthenticated } = useAuthReady();

-  return $api.useQuery(
-    "get",
-    "/v1/rooms/{room_name}/meetings/upcoming" satisfies `/v1/rooms/{room_name}/${typeof MEETINGS_UPCOMING_PATH_PARTIAL}`,
-    {
-      params: {
-        path: { room_name: roomName! },
-      },
+  return useQuery({
+    queryKey: meetingStatusKeys.upcoming(roomName!),
+    queryFn: async () => {
+      const result = await meetingStatusBatcher.fetch(roomName!);
+      return result.upcoming_events;
    },
-    {
-      enabled: !!roomName && isAuthenticated,
-    },
-  );
+    enabled: !!roomName && isAuthenticated,
+  });
 }

-const MEETINGS_PATH_PARTIAL = "meetings" as const;
-const MEETINGS_ACTIVE_PATH_PARTIAL = `${MEETINGS_PATH_PARTIAL}/active` as const;
-const MEETINGS_UPCOMING_PATH_PARTIAL =
-  `${MEETINGS_PATH_PARTIAL}/upcoming` as const;
-const MEETING_LIST_PATH_PARTIALS = [
-  MEETINGS_ACTIVE_PATH_PARTIAL,
-  MEETINGS_UPCOMING_PATH_PARTIAL,
-];
+// Query keys reuse $api.queryOptions so cache identity matches the original
+// per-room GET endpoints. The actual fetch goes through the batcher, but the
+// keys stay consistent with the rest of the codebase.
+const meetingStatusKeys = {
+  active: (roomName: string) =>
+    $api.queryOptions("get", "/v1/rooms/{room_name}/meetings/active", {
+      params: { path: { room_name: roomName } },
+    }).queryKey,
+  upcoming: (roomName: string) =>
+    $api.queryOptions("get", "/v1/rooms/{room_name}/meetings/upcoming", {
+      params: { path: { room_name: roomName } },
+    }).queryKey,
+};

 export function useRoomActiveMeetings(roomName: string | null) {
-  return $api.useQuery(
-    "get",
-    "/v1/rooms/{room_name}/meetings/active" satisfies `/v1/rooms/{room_name}/${typeof MEETINGS_ACTIVE_PATH_PARTIAL}`,
-    {
-      params: {
-        path: { room_name: roomName! },
-      },
+  return useQuery({
+    queryKey: meetingStatusKeys.active(roomName!),
+    queryFn: async () => {
+      const result = await meetingStatusBatcher.fetch(roomName!);
+      return result.active_meetings;
    },
-    {
-      enabled: !!roomName,
-    },
-  );
+    enabled: !!roomName,
+  });
 }

 export function useRoomGetMeeting(
--- a/www/app/lib/meetingStatusBatcher.ts
+++ b/www/app/lib/meetingStatusBatcher.ts
@@ -0,0 +1,37 @@
+import { create, keyResolver, windowScheduler } from "@yornaath/batshit";
+import { client } from "./apiClient";
+import type { components } from "../reflector-api";
+
+type MeetingStatusResult = {
+  roomName: string;
+  active_meetings: components["schemas"]["Meeting"][];
+  upcoming_events: components["schemas"]["CalendarEventResponse"][];
+};
+
+const BATCH_WINDOW_MS = 10;
+
+export function createMeetingStatusBatcher(windowMs: number = BATCH_WINDOW_MS) {
+  return create({
+    fetcher: async (roomNames: string[]): Promise<MeetingStatusResult[]> => {
+      const unique = [...new Set(roomNames)];
+      const { data, error } = await client.POST(
+        "/v1/rooms/meetings/bulk-status",
+        { body: { room_names: unique } },
+      );
+      if (error || !data) {
+        throw new Error(
+          `bulk-status fetch failed: ${JSON.stringify(error ?? "no data")}`,
+        );
+      }
+      return roomNames.map((name) => ({
+        roomName: name,
+        active_meetings: data[name]?.active_meetings ?? [],
+        upcoming_events: data[name]?.upcoming_events ?? [],
+      }));
+    },
+    resolver: keyResolver("roomName"),
+    scheduler: windowScheduler(windowMs),
+  });
+}
+
+export const meetingStatusBatcher = createMeetingStatusBatcher();
--- a/www/app/reflector-api.d.ts
+++ b/www/app/reflector-api.d.ts
@@ -118,6 +118,23 @@ export interface paths {
    patch?: never;
    trace?: never;
  };
+  "/v1/rooms/meetings/bulk-status": {
+    parameters: {
+      query?: never;
+      header?: never;
+      path?: never;
+      cookie?: never;
+    };
+    get?: never;
+    put?: never;
+    /** Rooms Bulk Meeting Status */
+    post: operations["v1_rooms_bulk_meeting_status"];
+    delete?: never;
+    options?: never;
+    head?: never;
+    patch?: never;
+    trace?: never;
+  };
  "/v1/rooms/{room_id}": {
    parameters: {
      query?: never;
@@ -799,6 +816,11 @@ export interface components {
       */
      chunk: string;
    };
+    /** BulkStatusRequest */
+    BulkStatusRequest: {
+      /** Room Names */
+      room_names: string[];
+    };
    /** CalendarEventResponse */
    CalendarEventResponse: {
      /** Id */
@@ -1735,6 +1757,13 @@ export interface components {
      /** Webhook Secret */
      webhook_secret: string | null;
    };
+    /** RoomMeetingStatus */
+    RoomMeetingStatus: {
+      /** Active Meetings */
+      active_meetings: components["schemas"]["Meeting"][];
+      /** Upcoming Events */
+      upcoming_events: components["schemas"]["CalendarEventResponse"][];
+    };
    /** RtcOffer */
    RtcOffer: {
      /** Sdp */
@@ -2272,6 +2301,41 @@ export interface operations {
      };
    };
  };
+  v1_rooms_bulk_meeting_status: {
+    parameters: {
+      query?: never;
+      header?: never;
+      path?: never;
+      cookie?: never;
+    };
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["BulkStatusRequest"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        headers: {
+          [name: string]: unknown;
+        };
+        content: {
+          "application/json": {
+            [key: string]: components["schemas"]["RoomMeetingStatus"];
+          };
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        headers: {
+          [name: string]: unknown;
+        };
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
  v1_rooms_get: {
    parameters: {
      query?: never;
--- a/www/jest.config.js
+++ b/www/jest.config.js
@@ -1,8 +1,22 @@
 module.exports = {
-  preset: "ts-jest",
-  testEnvironment: "node",
+  testEnvironment: "jest-environment-jsdom",
  roots: ["<rootDir>/app"],
-  testMatch: ["**/__tests__/**/*.test.ts"],
-  collectCoverage: true,
-  collectCoverageFrom: ["app/**/*.ts", "!app/**/*.d.ts"],
+  testMatch: ["**/__tests__/**/*.test.ts", "**/__tests__/**/*.test.tsx"],
+  collectCoverage: false,
+  transform: {
+    "^.+\\.[jt]sx?$": [
+      "ts-jest",
+      {
+        tsconfig: {
+          jsx: "react-jsx",
+          module: "esnext",
+          moduleResolution: "bundler",
+          esModuleInterop: true,
+          strict: true,
+          downlevelIteration: true,
+          lib: ["dom", "dom.iterable", "esnext"],
+        },
+      },
+    ],
+  },
 };
--- a/www/package.json
+++ b/www/package.json
@@ -23,6 +23,7 @@
    "@tanstack/react-query": "^5.85.9",
    "@types/ioredis": "^5.0.0",
    "@whereby.com/browser-sdk": "^3.3.4",
+    "@yornaath/batshit": "^0.14.0",
    "autoprefixer": "10.4.20",
    "axios": "^1.8.2",
    "eslint": "^9.33.0",
@@ -61,9 +62,13 @@
  "author": "Andreas <andreas@monadical.com>",
  "license": "All Rights Reserved",
  "devDependencies": {
+    "@testing-library/dom": "^10.4.1",
+    "@testing-library/jest-dom": "^6.9.1",
+    "@testing-library/react": "^16.3.2",
    "@types/jest": "^30.0.0",
    "@types/react": "18.2.20",
    "jest": "^30.1.3",
+    "jest-environment-jsdom": "^30.2.0",
    "openapi-typescript": "^7.9.1",
    "prettier": "^3.0.0",
    "ts-jest": "^29.4.1"
--- a/www/pnpm-lock.yaml
+++ b/www/pnpm-lock.yaml
Author	SHA1	Message	Date
Igor Loskutov	cdc495499b	fix: convert DB models to view models in bulk-status endpoint model_validate(from_attributes=True) needed to convert DB Meeting and CalendarEvent to their view-layer Pydantic counterparts.	2026-02-05 21:56:45 -05:00
Igor Monadical	ae44f5227b	Merge branch 'main' into fix-room-query-batching	2026-02-05 19:42:29 -05:00
Igor Loskutov	4339ffffcf	fix: use $api.queryOptions for batcher query keys Replace custom meetingStatusKeys with $api.queryOptions()-derived keys so cache identity matches the original per-room GET endpoints.	2026-02-05 19:40:13 -05:00
Igor Loskutov	9dc6c20ef8	fix: address code review findings - Add max_length=100 on BulkStatusRequest.room_names to prevent abuse - Filter bulk endpoint results to rooms user can see (owned or shared) - Throw on bulk-status fetch error instead of silently returning empty data - Fix room_by_id type annotation: dict[str, DbRoom] instead of Any - Remove stale "200ms" comment in test - Enable strict: true in jest tsconfig - Remove working docs from tracked files - Simplify redundant ternary in test helper	2026-02-05 19:36:17 -05:00
Igor Loskutov	931c344ddf	feat: add frontend test infrastructure and fix CI workflow - Fix pnpm version mismatch in test_next_server.yml (8 → auto-detect 10) - Add concurrency group to cancel stale CI runs - Remove redundant setup-node step - Update jest.config.js for jsdom + tsx support - Add meetingStatusBatcher integration test (3 tests) - Extract createMeetingStatusBatcher factory for testability	2026-02-05 19:06:32 -05:00
Igor Loskutov	129290517e	docs: add handoff report and frontend testing research BATSHIT_REPORT.md: full context on bulk query batching — business goal, approach, all changes, verification status, and how to run. FRONTEND_TEST_RESEARCH.md: research on unit testing react-query hooks with jest.mock, renderHook, and batcher testing patterns.	2026-02-05 17:49:23 -05:00
Igor Loskutov	7e072219bf	feat: batch room meeting status queries into single bulk endpoint Reduces rooms list page from 2N+2 HTTP requests to 1 POST request. Backend: POST /v1/rooms/meetings/bulk-status with 3 DB queries total. Frontend: @yornaath/batshit DataLoader-style batcher with 10ms window.	2026-02-05 17:47:58 -05:00