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.

.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'

.gitleaksignore

@@ -4,3 +4,4 @@ docs/docs/installation/daily-setup.md:curl-auth-header:277
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:74
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:83
 server/reflector/worker/process.py:generic-api-key:465
+server/reflector/worker/process.py:generic-api-key:594

CHANGELOG.md

@@ -1,5 +1,22 @@
 # Changelog
 
+## [0.32.2](https://github.com/Monadical-SAS/reflector/compare/v0.32.1...v0.32.2) (2026-02-03)
+
+
+### Bug Fixes
+
+* increase TIMEOUT_MEDIUM from 2m to 5m for LLM tasks ([#843](https://github.com/Monadical-SAS/reflector/issues/843)) ([4acde4b](https://github.com/Monadical-SAS/reflector/commit/4acde4b7fdef88cc02ca12cf38c9020b05ed96ac))
+* make caddy optional ([#841](https://github.com/Monadical-SAS/reflector/issues/841)) ([a2ed7d6](https://github.com/Monadical-SAS/reflector/commit/a2ed7d60d557b551a5b64e4dfd909b63a791d9fc))
+* use Daily API recording.duration as master source for transcript duration ([#844](https://github.com/Monadical-SAS/reflector/issues/844)) ([8707c66](https://github.com/Monadical-SAS/reflector/commit/8707c6694a80c939b6214bbc13331741f192e082))
+
+## [0.32.1](https://github.com/Monadical-SAS/reflector/compare/v0.32.0...v0.32.1) (2026-01-30)
+
+
+### Bug Fixes
+
+* daily multitrack pipeline finalze dependency fix ([23eb137](https://github.com/Monadical-SAS/reflector/commit/23eb1371cb9348c4b81eb12ad506b582f8a4799e))
+* match httpx pad with hatchet audio timeout ([c05d1f0](https://github.com/Monadical-SAS/reflector/commit/c05d1f03cd8369fc06efd455527e50246887efd0))
+
 ## [0.32.0](https://github.com/Monadical-SAS/reflector/compare/v0.31.0...v0.32.0) (2026-01-30)
 
 

Caddyfile.example

@@ -1,6 +1,8 @@
-# Reflector Caddyfile
-# Replace example.com with your actual domains
-# CORS is handled by the backend - Caddy just proxies
+# Reflector Caddyfile (optional reverse proxy)
+# Use this only when you run Caddy via: docker compose -f docker-compose.prod.yml --profile caddy up -d
+# If Coolify, Traefik, or nginx already use ports 80/443, do NOT start Caddy; point your proxy at web:3000 and server:1250.
+#
+# Replace example.com with your actual domains. CORS is handled by the backend - Caddy just proxies.
 #
 # For environment variable substitution, set:
 #   FRONTEND_DOMAIN=app.example.com

docker-compose.prod.yml

@@ -1,9 +1,14 @@
 # Production Docker Compose configuration
 # Usage: docker compose -f docker-compose.prod.yml up -d
 #
+# Caddy (reverse proxy on ports 80/443) is OPTIONAL and behind the "caddy" profile:
+# - With Caddy (self-hosted, you manage SSL): docker compose -f docker-compose.prod.yml --profile caddy up -d
+# - Without Caddy (Coolify/Traefik/nginx already on 80/443): docker compose -f docker-compose.prod.yml up -d
+#   Then point your proxy at web:3000 (frontend) and server:1250 (API).
+#
 # Prerequisites:
 # 1. Copy .env.example to .env and configure for both server/ and www/
-# 2. Copy Caddyfile.example to Caddyfile and edit with your domains
+# 2. If using Caddy: copy Caddyfile.example to Caddyfile and edit your domains
 # 3. Deploy Modal GPU functions (see gpu/modal_deployments/deploy-all.sh)
 
 services:
@@ -84,6 +89,8 @@ services:
       retries: 3
 
   caddy:
+    profiles:
+      - caddy
     image: caddy:2-alpine
     restart: unless-stopped
     ports:

docs/docs/installation/docker-setup.md

@@ -12,14 +12,14 @@ This page documents the Docker Compose configuration for Reflector. For the comp
 The `docker-compose.prod.yml` includes these services:
 
 | Service    | Image                             | Purpose                                                                     |
-|---------|-------|---------|
+| ---------- | --------------------------------- | --------------------------------------------------------------------------- |
 | `web`      | `monadicalsas/reflector-frontend` | Next.js frontend                                                            |
 | `server`   | `monadicalsas/reflector-backend`  | FastAPI backend                                                             |
 | `worker`   | `monadicalsas/reflector-backend`  | Celery worker for background tasks                                          |
 | `beat`     | `monadicalsas/reflector-backend`  | Celery beat scheduler                                                       |
 | `redis`    | `redis:7.2-alpine`                | Message broker and cache                                                    |
 | `postgres` | `postgres:17-alpine`              | Primary database                                                            |
-| `caddy` | `caddy:2-alpine` | Reverse proxy with auto-SSL |
+| `caddy`    | `caddy:2-alpine`                  | Reverse proxy with auto-SSL (optional; see [Caddy profile](#caddy-profile)) |
 
 ## Environment Files
 
@@ -30,6 +30,7 @@ Reflector uses two separate environment files:
 Used by: `server`, `worker`, `beat`
 
 Key variables:
+
 ```env
 # Database connection
 DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
@@ -54,6 +55,7 @@ TRANSCRIPT_MODAL_API_KEY=...
 Used by: `web`
 
 Key variables:
+
 ```env
 # Domain configuration
 SITE_URL=https://app.example.com
@@ -71,7 +73,7 @@ Note: `API_URL` is used client-side (browser), `SERVER_API_URL` is used server-s
 ## Volumes
 
 | Volume          | Purpose                       |
-|--------|---------|
+| --------------- | ----------------------------- |
 | `redis_data`    | Redis persistence             |
 | `postgres_data` | PostgreSQL data               |
 | `server_data`   | Uploaded files, local storage |
@@ -82,14 +84,30 @@ Note: `API_URL` is used client-side (browser), `SERVER_API_URL` is used server-s
 
 All services share the default network. The network is marked `attachable: true` to allow external containers (like Authentik) to join.
 
+## Caddy profile
+
+Caddy (ports 80 and 443) is **optional** and behind the `caddy` profile so it does not conflict with an existing reverse proxy (e.g. Coolify, Traefik, nginx).
+
+- **With Caddy** (you want Reflector to handle SSL):
+  `docker compose -f docker-compose.prod.yml --profile caddy up -d`
+- **Without Caddy** (Coolify or another proxy already on 80/443):
+  `docker compose -f docker-compose.prod.yml up -d`
+  Then configure your proxy to send traffic to `web:3000` (frontend) and `server:1250` (API).
+
 ## Common Commands
 
 ### Start all services
+
 ```bash
+# Without Caddy (e.g. when using Coolify)
 docker compose -f docker-compose.prod.yml up -d
+
+# With Caddy as reverse proxy
+docker compose -f docker-compose.prod.yml --profile caddy up -d
 ```
 
 ### View logs
+
 ```bash
 # All services
 docker compose -f docker-compose.prod.yml logs -f
@@ -99,6 +117,7 @@ docker compose -f docker-compose.prod.yml logs server --tail 50
 ```
 
 ### Restart a service
+
 ```bash
 # Quick restart (doesn't reload .env changes)
 docker compose -f docker-compose.prod.yml restart server
@@ -108,27 +127,32 @@ docker compose -f docker-compose.prod.yml up -d server
 ```
 
 ### Run database migrations
+
 ```bash
 docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
 ```
 
 ### Access database
+
 ```bash
 docker compose -f docker-compose.prod.yml exec postgres psql -U reflector
 ```
 
 ### Pull latest images
+
 ```bash
 docker compose -f docker-compose.prod.yml pull
 docker compose -f docker-compose.prod.yml up -d
 ```
 
 ### Stop all services
+
 ```bash
 docker compose -f docker-compose.prod.yml down
 ```
 
 ### Full reset (WARNING: deletes data)
+
 ```bash
 docker compose -f docker-compose.prod.yml down -v
 ```
@@ -187,6 +211,7 @@ The Caddyfile supports environment variable substitution:
 Set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables, or edit the file directly.
 
 ### Reload Caddy after changes
+
 ```bash
 docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile
 ```

docs/docs/installation/overview.md

@@ -61,7 +61,7 @@ Type: A    Name: api    Value: <your-server-ip>
 Reflector requires GPU processing for transcription and speaker diarization. Choose one option:
 
 |              | **Modal.com (Cloud)**             | **Self-Hosted GPU**          |
-|---|---|---|
+| ------------ | --------------------------------- | ---------------------------- |
 | **Best for** | No GPU hardware, zero maintenance | Own GPU server, full control |
 | **Pricing**  | Pay-per-use                       | Fixed infrastructure cost    |
 
@@ -70,6 +70,7 @@ Reflector requires GPU processing for transcription and speaker diarization. Cho
 #### Accept HuggingFace Licenses
 
 Visit both pages and click "Accept":
+
 - https://huggingface.co/pyannote/speaker-diarization-3.1
 - https://huggingface.co/pyannote/segmentation-3.0
 
@@ -179,6 +180,7 @@ Save these credentials - you'll need them in the next step.
 ## Configure Environment
 
 Reflector has two env files:
+
 - `server/.env` - Backend configuration
 - `www/.env` - Frontend configuration
 
@@ -190,6 +192,7 @@ nano server/.env
 ```
 
 **Required settings:**
+
 ```env
 # Database (defaults work with docker-compose.prod.yml)
 DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
@@ -249,6 +252,7 @@ nano www/.env
 ```
 
 **Required settings:**
+
 ```env
 # Your domains
 SITE_URL=https://app.example.com
@@ -266,7 +270,11 @@ FEATURE_REQUIRE_LOGIN=false
 
 ---
 
-## Configure Caddy
+## Reverse proxy (Caddy or existing)
+
+**If Coolify, Traefik, or nginx already use ports 80/443** (e.g. Coolify on your host): skip Caddy. Start the stack without the Caddy profile (see [Start Services](#start-services) below), then point your proxy at `web:3000` (frontend) and `server:1250` (API).
+
+**If you want Reflector to provide the reverse proxy and SSL:**
 
 ```bash
 cp Caddyfile.example Caddyfile
@@ -289,10 +297,18 @@ Replace `example.com` with your domains. The `{$VAR:default}` syntax uses Caddy'
 
 ## Start Services
 
+**Without Caddy** (e.g. Coolify already on 80/443):
+
 ```bash
 docker compose -f docker-compose.prod.yml up -d
 ```
 
+**With Caddy** (Reflector handles SSL):
+
+```bash
+docker compose -f docker-compose.prod.yml --profile caddy up -d
+```
+
 Wait for containers to start (first run may take 1-2 minutes to pull images and initialize).
 
 ---
@@ -300,18 +316,21 @@ Wait for containers to start (first run may take 1-2 minutes to pull images and
 ## Verify Deployment
 
 ### Check services
+
 ```bash
 docker compose -f docker-compose.prod.yml ps
 # All should show "Up"
 ```
 
 ### Test API
+
 ```bash
 curl https://api.example.com/health
 # Should return: {"status":"healthy"}
 ```
 
 ### Test Frontend
+
 - Visit https://app.example.com
 - You should see the Reflector interface
 - Try uploading an audio file to test transcription
@@ -327,6 +346,7 @@ By default, Reflector is open (no login required). **Authentication is required
 See [Authentication Setup](./auth-setup) for full Authentik OAuth configuration.
 
 Quick summary:
+
 1. Deploy Authentik on your server
 2. Create OAuth provider in Authentik
 3. Extract public key for JWT verification
@@ -358,6 +378,7 @@ DAILYCO_STORAGE_AWS_ROLE_ARN=<arn:aws:iam::ACCOUNT:role/DailyCo>
 ```
 
 Reload env and restart:
+
 ```bash
 docker compose -f docker-compose.prod.yml up -d server worker
 ```
@@ -367,35 +388,43 @@ docker compose -f docker-compose.prod.yml up -d server worker
 ## Troubleshooting
 
 ### Check logs for errors
+
 ```bash
 docker compose -f docker-compose.prod.yml logs server --tail 20
 docker compose -f docker-compose.prod.yml logs worker --tail 20
 ```
 
 ### Services won't start
+
 ```bash
 docker compose -f docker-compose.prod.yml logs
 ```
 
 ### CORS errors in browser
+
 - Verify `CORS_ORIGIN` in `server/.env` matches your frontend domain exactly (including `https://`)
 - Reload env: `docker compose -f docker-compose.prod.yml up -d server`
 
-### SSL certificate errors
+### SSL certificate errors (when using Caddy)
+
 - Caddy auto-provisions Let's Encrypt certificates
-- Ensure ports 80 and 443 are open
+- Ensure ports 80 and 443 are open and not used by another proxy
 - Check: `docker compose -f docker-compose.prod.yml logs caddy`
+- If port 80 is already in use (e.g. by Coolify), run without Caddy: `docker compose -f docker-compose.prod.yml up -d` and use your existing proxy
 
 ### Transcription not working
+
 - Check Modal dashboard: https://modal.com/apps
 - Verify URLs in `server/.env` match deployed functions
 - Check worker logs: `docker compose -f docker-compose.prod.yml logs worker`
 
 ### "Login required" but auth not configured
+
 - Set `FEATURE_REQUIRE_LOGIN=false` in `www/.env`
 - Rebuild frontend: `docker compose -f docker-compose.prod.yml up -d --force-recreate web`
 
 ### Database migrations or connectivity issues
+
 Migrations run automatically on server startup. To check database connectivity or debug migration failures:
 
 ```bash
@@ -408,4 +437,3 @@ docker compose -f docker-compose.prod.yml exec server uv run python -c "from ref
 # Manually run migrations (if needed)
 docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
 ```
-

gpu/self_hosted/Dockerfile

@@ -4,27 +4,31 @@ ENV PYTHONUNBUFFERED=1 \
     UV_LINK_MODE=copy \
     UV_NO_CACHE=1
 
+# patch until nvidia updates the sha1 repo
+ADD sequoia.config /etc/crypto-policies/back-ends/sequoia.config
+
 WORKDIR /tmp
-RUN apt-get update \
+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 \
- && apt-get clean
+    wget
 # Add NVIDIA CUDA repo for Debian 12 (bookworm) and install cuDNN 9 for CUDA 12
 ADD https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb /cuda-keyring.deb
-RUN dpkg -i /cuda-keyring.deb \
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+ --mount=type=cache,target=/var/lib/apt,sharing=locked \
+ dpkg -i /cuda-keyring.deb \
  && rm /cuda-keyring.deb \
  && apt-get update \
  && apt-get install -y --no-install-recommends \
     cuda-cudart-12-6 \
     libcublas-12-6 \
     libcudnn9-cuda-12 \
-    libcudnn9-dev-cuda-12 \
- && apt-get clean \
- && rm -rf /var/lib/apt/lists/*
+    libcudnn9-dev-cuda-12
 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"
@@ -39,6 +43,13 @@ 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"]

gpu/self_hosted/sequoia.config

@@ -0,0 +1,2 @@
+[hash_algorithms]
+sha1 = "always"

server/migrations/versions/3aa20b96d963_drop_use_celery_column.py

@@ -0,0 +1,35 @@
+"""drop_use_celery_column
+
+Revision ID: 3aa20b96d963
+Revises: e69f08ead8ea
+Create Date: 2026-02-05 10:12:44.065279
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "3aa20b96d963"
+down_revision: Union[str, None] = "e69f08ead8ea"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.drop_column("use_celery")
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "use_celery",
+                sa.Boolean(),
+                server_default=sa.text("false"),
+                nullable=False,
+            )
+        )

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)

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:

server/reflector/db/rooms.py

@@ -57,12 +57,6 @@ rooms = sqlalchemy.Table(
         sqlalchemy.String,
         nullable=False,
     ),
-    sqlalchemy.Column(
-        "use_celery",
-        sqlalchemy.Boolean,
-        nullable=False,
-        server_default=false(),
-    ),
     sqlalchemy.Column(
         "skip_consent",
         sqlalchemy.Boolean,
@@ -97,7 +91,6 @@ class Room(BaseModel):
     ics_last_sync: datetime | None = None
     ics_last_etag: str | None = None
     platform: Platform = Field(default_factory=lambda: settings.DEFAULT_VIDEO_PLATFORM)
-    use_celery: bool = False
     skip_consent: bool = False
 
 
@@ -245,6 +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

server/reflector/hatchet/constants.py

@@ -35,7 +35,9 @@ LLM_RATE_LIMIT_PER_SECOND = 10
 
 # Task execution timeouts (seconds)
 TIMEOUT_SHORT = 60  # Quick operations: API calls, DB updates
-TIMEOUT_MEDIUM = 120  # Single LLM calls, waveform generation
+TIMEOUT_MEDIUM = (
+    300  # Single LLM calls, waveform generation (5m for slow LLM responses)
+)
 TIMEOUT_LONG = 180  # Action items (larger context LLM)
 TIMEOUT_AUDIO = 720  # Audio processing: padding, mixdown
 TIMEOUT_HEAVY = 600  # Transcription, fan-out LLM tasks

server/reflector/hatchet/workflows/daily_multitrack_pipeline.py

@@ -322,6 +322,7 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
     mtg_session_id = recording.mtg_session_id
     async with fresh_db_connection():
         from reflector.db.transcripts import (  # noqa: PLC0415
+            TranscriptDuration,
             TranscriptParticipant,
             transcripts_controller,
         )
@@ -330,15 +331,26 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
         if not transcript:
             raise ValueError(f"Transcript {input.transcript_id} not found")
         # Note: title NOT cleared - preserves existing titles
+        # Duration from Daily API (seconds -> milliseconds) - master source
+        duration_ms = recording.duration * 1000 if recording.duration else 0
         await transcripts_controller.update(
             transcript,
             {
                 "events": [],
                 "topics": [],
                 "participants": [],
+                "duration": duration_ms,
             },
         )
 
+        await append_event_and_broadcast(
+            input.transcript_id,
+            transcript,
+            "DURATION",
+            TranscriptDuration(duration=duration_ms),
+            logger=logger,
+        )
+
         mtg_session_id = assert_non_none_and_non_empty(
             mtg_session_id, "mtg_session_id is required"
         )
@@ -1095,7 +1107,7 @@ async def identify_action_items(
 
 
 @daily_multitrack_pipeline.task(
-    parents=[generate_title, generate_recap, identify_action_items],
+    parents=[process_tracks, generate_title, generate_recap, identify_action_items],
     execution_timeout=timedelta(seconds=TIMEOUT_SHORT),
     retries=3,
 )
@@ -1108,12 +1120,8 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
     """
     ctx.log("finalize: saving transcript and setting status to 'ended'")
 
-    mixdown_result = ctx.task_output(mixdown_tracks)
     track_result = ctx.task_output(process_tracks)
 
-    duration = mixdown_result.duration
-    all_words = track_result.all_words
-
     # Cleanup temporary padded S3 files (deferred until finalize for semantic parity with Celery)
     created_padded_files = track_result.created_padded_files
     if created_padded_files:
@@ -1133,7 +1141,6 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
 
     async with fresh_db_connection():
         from reflector.db.transcripts import (  # noqa: PLC0415
-            TranscriptDuration,
             TranscriptText,
             transcripts_controller,
         )
@@ -1142,8 +1149,6 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
         if transcript is None:
             raise ValueError(f"Transcript {input.transcript_id} not found in database")
 
-        merged_transcript = TranscriptType(words=all_words, translation=None)
-
         await append_event_and_broadcast(
             input.transcript_id,
             transcript,
@@ -1155,21 +1160,15 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
             logger=logger,
         )
 
-        # Save duration and clear workflow_run_id (workflow completed successfully)
-        # Note: title/long_summary/short_summary already saved by their callbacks
+        # Clear workflow_run_id (workflow completed successfully)
+        # Note: title/long_summary/short_summary/duration already saved by their callbacks
         await transcripts_controller.update(
             transcript,
             {
-                "duration": duration,
                 "workflow_run_id": None,  # Clear on success - no need to resume
             },
         )
 
-        duration_data = TranscriptDuration(duration=duration)
-        await append_event_and_broadcast(
-            input.transcript_id, transcript, "DURATION", duration_data, logger=logger
-        )
-
         await set_status_and_broadcast(input.transcript_id, "ended", logger=logger)
 
         ctx.log(

server/reflector/processors/audio_padding_modal.py

@@ -8,6 +8,7 @@ import os
 import httpx
 from pydantic import BaseModel
 
+from reflector.hatchet.constants import TIMEOUT_AUDIO
 from reflector.logger import logger
 
 
@@ -63,7 +64,7 @@ class AudioPaddingModalProcessor:
             headers["Authorization"] = f"Bearer {self.modal_api_key}"
 
         try:
-            async with httpx.AsyncClient() as client:
+            async with httpx.AsyncClient(timeout=TIMEOUT_AUDIO) as client:
                 response = await client.post(
                     url,
                     headers=headers,

server/reflector/services/transcript_process.py

@@ -15,14 +15,10 @@ from hatchet_sdk.clients.rest.exceptions import ApiException, NotFoundException
 from hatchet_sdk.clients.rest.models import V1TaskStatus
 
 from reflector.db.recordings import recordings_controller
-from reflector.db.rooms import rooms_controller
 from reflector.db.transcripts import Transcript, transcripts_controller
 from reflector.hatchet.client import HatchetClientManager
 from reflector.logger import logger
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
-from reflector.pipelines.main_multitrack_pipeline import (
-    task_pipeline_multitrack_process,
-)
 from reflector.utils.string import NonEmptyString
 
 
@@ -181,21 +177,7 @@ async def dispatch_transcript_processing(
     Returns AsyncResult for Celery tasks, None for Hatchet workflows.
     """
     if isinstance(config, MultitrackProcessingConfig):
-        use_celery = False
-        if config.room_id:
-            room = await rooms_controller.get_by_id(config.room_id)
-            use_celery = room.use_celery if room else False
-
-        use_hatchet = not use_celery
-
-        if use_celery:
-            logger.info(
-                "Room uses legacy Celery processing",
-                room_id=config.room_id,
-                transcript_id=config.transcript_id,
-            )
-
-        if use_hatchet:
+        # Multitrack processing always uses Hatchet (no Celery fallback)
         # First check if we can replay (outside transaction since it's read-only)
         transcript = await transcripts_controller.get_by_id(config.transcript_id)
         if transcript and transcript.workflow_run_id and not force:
@@ -203,9 +185,7 @@ async def dispatch_transcript_processing(
                 transcript.workflow_run_id
             )
             if can_replay:
-                    await HatchetClientManager.replay_workflow(
-                        transcript.workflow_run_id
-                    )
+                await HatchetClientManager.replay_workflow(transcript.workflow_run_id)
                 logger.info(
                     "Replaying Hatchet workflow",
                     workflow_id=transcript.workflow_run_id,
@@ -233,9 +213,7 @@ async def dispatch_transcript_processing(
         # Force: cancel old workflow if exists
         if force and transcript and transcript.workflow_run_id:
             try:
-                    await HatchetClientManager.cancel_workflow(
-                        transcript.workflow_run_id
-                    )
+                await HatchetClientManager.cancel_workflow(transcript.workflow_run_id)
                 logger.info(
                     "Cancelled old workflow (--force)",
                     workflow_id=transcript.workflow_run_id,
@@ -245,9 +223,7 @@ async def dispatch_transcript_processing(
                     "Old workflow already deleted (--force)",
                     workflow_id=transcript.workflow_run_id,
                 )
-                await transcripts_controller.update(
-                    transcript, {"workflow_run_id": None}
-                )
+            await transcripts_controller.update(transcript, {"workflow_run_id": None})
 
         # Re-fetch and check for concurrent dispatch (optimistic approach).
         # No database lock - worst case is duplicate dispatch, but Hatchet
@@ -293,12 +269,6 @@ async def dispatch_transcript_processing(
         logger.info("Hatchet workflow dispatched", workflow_id=workflow_id)
         return None
 
-        # Celery pipeline (durable workflows disabled)
-        return task_pipeline_multitrack_process.delay(
-            transcript_id=config.transcript_id,
-            bucket_name=config.bucket_name,
-            track_keys=config.track_keys,
-        )
     elif isinstance(config, FileProcessingConfig):
         return task_pipeline_file_process.delay(transcript_id=config.transcript_id)
     else:

server/reflector/settings.py

@@ -1,7 +1,7 @@
 from pydantic.types import PositiveInt
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
-from reflector.schemas.platform import WHEREBY_PLATFORM, Platform
+from reflector.schemas.platform import DAILY_PLATFORM, Platform
 from reflector.utils.string import NonEmptyString
 
 
@@ -155,7 +155,7 @@ class Settings(BaseSettings):
         None  # Webhook UUID for this environment. Not used by production code
     )
     # Platform Configuration
-    DEFAULT_VIDEO_PLATFORM: Platform = WHEREBY_PLATFORM
+    DEFAULT_VIDEO_PLATFORM: Platform = DAILY_PLATFORM
 
     # Zulip integration
     ZULIP_REALM: str | None = None

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,

server/reflector/worker/process.py

@@ -27,9 +27,6 @@ from reflector.db.transcripts import (
 from reflector.hatchet.client import HatchetClientManager
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
 from reflector.pipelines.main_live_pipeline import asynctask
-from reflector.pipelines.main_multitrack_pipeline import (
-    task_pipeline_multitrack_process,
-)
 from reflector.pipelines.topic_processing import EmptyPipeline
 from reflector.processors import AudioFileWriterProcessor
 from reflector.processors.audio_waveform_processor import AudioWaveformProcessor
@@ -351,17 +348,7 @@ async def _process_multitrack_recording_inner(
             room_id=room.id,
         )
 
-    use_celery = room and room.use_celery
-    use_hatchet = not use_celery
-
-    if use_celery:
-        logger.info(
-            "Room uses legacy Celery processing",
-            room_id=room.id,
-            transcript_id=transcript.id,
-        )
-
-    if use_hatchet:
+    # Multitrack processing always uses Hatchet (no Celery fallback)
     workflow_id = await HatchetClientManager.start_workflow(
         workflow_name="DiarizationPipeline",
         input_data={
@@ -383,17 +370,7 @@ async def _process_multitrack_recording_inner(
         transcript_id=transcript.id,
     )
 
-        await transcripts_controller.update(
-            transcript, {"workflow_run_id": workflow_id}
-        )
-        return
-
-    # Celery pipeline (runs when durable workflows disabled)
-    task_pipeline_multitrack_process.delay(
-        transcript_id=transcript.id,
-        bucket_name=bucket_name,
-        track_keys=filter_cam_audio_tracks(track_keys),
-    )
+    await transcripts_controller.update(transcript, {"workflow_run_id": workflow_id})
 
 
 @shared_task
@@ -1072,10 +1049,7 @@ async def reprocess_failed_daily_recordings():
                 )
                 continue
 
-            use_celery = room and room.use_celery
-            use_hatchet = not use_celery
-
-            if use_hatchet:
+            # Multitrack reprocessing always uses Hatchet (no Celery fallback)
             if not transcript:
                 logger.warning(
                     "No transcript for Hatchet reprocessing, skipping",
@@ -1112,26 +1086,6 @@ async def reprocess_failed_daily_recordings():
                 room_name=meeting.room_name,
                 track_count=len(recording.track_keys),
             )
-            else:
-                logger.info(
-                    "Queueing Daily recording for Celery reprocessing",
-                    recording_id=recording.id,
-                    room_name=meeting.room_name,
-                    track_count=len(recording.track_keys),
-                    transcript_status=transcript.status if transcript else None,
-                )
-
-                # For reprocessing, pass actual recording time (though it's ignored - see _process_multitrack_recording_inner)
-                # Reprocessing uses recording.meeting_id directly instead of time-based matching
-                recording_start_ts = int(recording.recorded_at.timestamp())
-
-                process_multitrack_recording.delay(
-                    bucket_name=bucket_name,
-                    daily_room_name=meeting.room_name,
-                    recording_id=recording.id,
-                    track_keys=recording.track_keys,
-                    recording_start_ts=recording_start_ts,
-                )
 
             reprocessed_count += 1
 

server/reflector/ws_manager.py

@@ -11,7 +11,6 @@ broadcast messages to all connected websockets.
 
 import asyncio
 import json
-import threading
 
 import redis.asyncio as redis
 from fastapi import WebSocket
@@ -98,6 +97,7 @@ class WebsocketManager:
 
     async def _pubsub_data_reader(self, pubsub_subscriber):
         while True:
+            # timeout=1.0 prevents tight CPU loop when no messages available
             message = await pubsub_subscriber.get_message(
                 ignore_subscribe_messages=True
             )
@@ -109,29 +109,38 @@ class WebsocketManager:
                     await socket.send_json(data)
 
 
+# Process-global singleton to ensure only one WebsocketManager instance exists.
+# Multiple instances would cause resource leaks and CPU issues.
+_ws_manager: WebsocketManager | None = None
+
+
 def get_ws_manager() -> WebsocketManager:
     """
-    Returns the WebsocketManager instance for managing websockets.
+    Returns the global WebsocketManager singleton.
 
-    This function initializes and returns the WebsocketManager instance,
-    which is responsible for managing websockets and handling websocket
-    connections.
+    Creates instance on first call, subsequent calls return cached instance.
+    Thread-safe via GIL. Concurrent initialization may create duplicate
+    instances but last write wins (acceptable for this use case).
 
     Returns:
-        WebsocketManager: The initialized WebsocketManager instance.
-
-    Raises:
-        ImportError: If the 'reflector.settings' module cannot be imported.
-        RedisConnectionError: If there is an error connecting to the Redis server.
+        WebsocketManager: The global WebsocketManager instance.
     """
-    local = threading.local()
-    if hasattr(local, "ws_manager"):
-        return local.ws_manager
+    global _ws_manager
 
+    if _ws_manager is not None:
+        return _ws_manager
+
+    # No lock needed - GIL makes this safe enough
+    # Worst case: race creates two instances, last assignment wins
     pubsub_client = RedisPubSubManager(
         host=settings.REDIS_HOST,
         port=settings.REDIS_PORT,
     )
-    ws_manager = WebsocketManager(pubsub_client=pubsub_client)
-    local.ws_manager = ws_manager
-    return ws_manager
+    _ws_manager = WebsocketManager(pubsub_client=pubsub_client)
+    return _ws_manager
+
+
+def reset_ws_manager() -> None:
+    """Reset singleton for testing. DO NOT use in production."""
+    global _ws_manager
+    _ws_manager = None

server/tests/conftest.py

@@ -1,11 +1,10 @@
 import os
 from contextlib import asynccontextmanager
-from tempfile import NamedTemporaryFile
 from unittest.mock import patch
 
 import pytest
 
-from reflector.schemas.platform import WHEREBY_PLATFORM
+from reflector.schemas.platform import DAILY_PLATFORM, WHEREBY_PLATFORM
 
 
 @pytest.fixture(scope="session", autouse=True)
@@ -15,6 +14,7 @@ def register_mock_platform():
     from reflector.video_platforms.registry import register_platform
 
     register_platform(WHEREBY_PLATFORM, MockPlatformClient)
+    register_platform(DAILY_PLATFORM, MockPlatformClient)
     yield
 
 
@@ -333,10 +333,13 @@ def celery_enable_logging():
 
 @pytest.fixture(scope="session")
 def celery_config():
-    with NamedTemporaryFile() as f:
+    redis_host = os.environ.get("REDIS_HOST", "localhost")
+    redis_port = os.environ.get("REDIS_PORT", "6379")
+    # Use db 2 to avoid conflicts with main app
+    redis_url = f"redis://{redis_host}:{redis_port}/2"
     yield {
-            "broker_url": "memory://",
-            "result_backend": f"db+sqlite:///{f.name}",
+        "broker_url": redis_url,
+        "result_backend": redis_url,
     }
 
 
@@ -370,9 +373,12 @@ async def ws_manager_in_memory(monkeypatch):
         def __init__(self, queue: asyncio.Queue):
             self.queue = queue
 
-        async def get_message(self, ignore_subscribe_messages: bool = True):
+        async def get_message(
+            self, ignore_subscribe_messages: bool = True, timeout: float | None = None
+        ):
+            wait_timeout = timeout if timeout is not None else 0.05
             try:
-                return await asyncio.wait_for(self.queue.get(), timeout=0.05)
+                return await asyncio.wait_for(self.queue.get(), timeout=wait_timeout)
             except Exception:
                 return None
 

server/tests/test_transcripts_process.py

@@ -1,6 +1,6 @@
 import asyncio
 import time
-from unittest.mock import patch
+from unittest.mock import AsyncMock, patch
 
 import pytest
 from httpx import ASGITransport, AsyncClient
@@ -142,17 +142,17 @@ async def test_whereby_recording_uses_file_pipeline(client):
             "reflector.services.transcript_process.task_pipeline_file_process"
         ) as mock_file_pipeline,
         patch(
-            "reflector.services.transcript_process.task_pipeline_multitrack_process"
-        ) as mock_multitrack_pipeline,
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet,
     ):
         response = await client.post(f"/transcripts/{transcript.id}/process")
 
         assert response.status_code == 200
         assert response.json()["status"] == "ok"
 
-        # Whereby recordings should use file pipeline
+        # Whereby recordings should use file pipeline, not Hatchet
         mock_file_pipeline.delay.assert_called_once_with(transcript_id=transcript.id)
-        mock_multitrack_pipeline.delay.assert_not_called()
+        mock_hatchet.start_workflow.assert_not_called()
 
 
 @pytest.mark.usefixtures("setup_database")
@@ -177,8 +177,6 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
         recording_trigger="automatic-2nd-participant",
         is_shared=False,
     )
-    # Force Celery backend for test
-    await rooms_controller.update(room, {"use_celery": True})
 
     transcript = await transcripts_controller.add(
         "",
@@ -213,18 +211,23 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
             "reflector.services.transcript_process.task_pipeline_file_process"
         ) as mock_file_pipeline,
         patch(
-            "reflector.services.transcript_process.task_pipeline_multitrack_process"
-        ) as mock_multitrack_pipeline,
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet,
     ):
+        mock_hatchet.start_workflow = AsyncMock(return_value="test-workflow-id")
+
         response = await client.post(f"/transcripts/{transcript.id}/process")
 
         assert response.status_code == 200
         assert response.json()["status"] == "ok"
 
-        # Daily.co multitrack recordings should use multitrack pipeline
-        mock_multitrack_pipeline.delay.assert_called_once_with(
-            transcript_id=transcript.id,
-            bucket_name="daily-bucket",
-            track_keys=track_keys,
-        )
+        # Daily.co multitrack recordings should use Hatchet workflow
+        mock_hatchet.start_workflow.assert_called_once()
+        call_kwargs = mock_hatchet.start_workflow.call_args.kwargs
+        assert call_kwargs["workflow_name"] == "DiarizationPipeline"
+        assert call_kwargs["input_data"]["transcript_id"] == transcript.id
+        assert call_kwargs["input_data"]["bucket_name"] == "daily-bucket"
+        assert call_kwargs["input_data"]["tracks"] == [
+            {"s3_key": k} for k in track_keys
+        ]
         mock_file_pipeline.delay.assert_not_called()

server/tests/test_transcripts_rtc_ws.py

@@ -115,9 +115,7 @@ def appserver(tmpdir, setup_database, celery_session_app, celery_session_worker)
     settings.DATA_DIR = DATA_DIR
 
 
-@pytest.fixture(scope="session")
-def celery_includes():
-    return ["reflector.pipelines.main_live_pipeline"]
+# Using celery_includes from conftest.py which includes both pipelines
 
 
 @pytest.mark.usefixtures("setup_database")

server/tests/test_user_websocket_auth.py

@@ -56,7 +56,12 @@ def appserver_ws_user(setup_database):
 
     if server_instance:
         server_instance.should_exit = True
-        server_thread.join(timeout=30)
+        server_thread.join(timeout=2.0)
+
+    # Reset global singleton for test isolation
+    from reflector.ws_manager import reset_ws_manager
+
+    reset_ws_manager()
 
 
 @pytest.fixture(autouse=True)
@@ -133,6 +138,8 @@ async def test_user_ws_accepts_valid_token_and_receives_events(appserver_ws_user
 
     # Connect and then trigger an event via HTTP create
     async with aconnect_ws(base_ws, subprotocols=subprotocols) as ws:
+        await asyncio.sleep(0.2)
+
         # Emit an event to the user's room via a standard HTTP action
         from httpx import AsyncClient
 
@@ -150,6 +157,7 @@ async def test_user_ws_accepts_valid_token_and_receives_events(appserver_ws_user
             "email": "user-abc@example.com",
         }
 
+        # Use in-memory client (global singleton makes it share ws_manager)
         async with AsyncClient(app=app, base_url=f"http://{host}:{port}/v1") as ac:
             # Create a transcript as this user so that the server publishes TRANSCRIPT_CREATED to user room
             resp = await ac.post("/transcripts", json={"name": "WS Test"})

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",
+      );
+    });
+  });
+});

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,
-    },
-  );
+  });
 }
 
-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,
-    },
-  );
+  });
 }
 
 export function useRoomGetMeeting(

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();

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;

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"],
+        },
+      },
+    ],
+  },
 };

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"