chore(deps): bump the uv group across 2 directories with 13 updates

--- updated-dependencies: - dependency-name: aiohttp dependency-version: 3.13.3 dependency-type: indirect dependency-group: uv - dependency-name: filelock dependency-version: 3.20.3 dependency-type: indirect dependency-group: uv - dependency-name: fonttools dependency-version: 4.60.2 dependency-type: indirect dependency-group: uv - dependency-name: protobuf dependency-version: 6.33.5 dependency-type: indirect dependency-group: uv - dependency-name: starlette dependency-version: 0.49.1 dependency-type: indirect dependency-group: uv - dependency-name: urllib3 dependency-version: 2.6.3 dependency-type: indirect dependency-group: uv - dependency-name: aiohttp dependency-version: 3.13.3 dependency-type: indirect dependency-group: uv - dependency-name: protobuf dependency-version: 6.33.5 dependency-type: indirect dependency-group: uv - dependency-name: filelock dependency-version: 3.20.3 dependency-type: indirect dependency-group: uv - dependency-name: fonttools dependency-version: 4.60.2 dependency-type: indirect dependency-group: uv - dependency-name: starlette dependency-version: 0.49.1 dependency-type: indirect dependency-group: uv - dependency-name: urllib3 dependency-version: 2.6.3 dependency-type: indirect dependency-group: uv - dependency-name: sentencepiece dependency-version: 0.2.1 dependency-type: direct:production dependency-group: uv - dependency-name: aiohttp dependency-version: 3.13.3 dependency-type: direct:production dependency-group: uv - dependency-name: filelock dependency-version: 3.20.3 dependency-type: indirect dependency-group: uv - dependency-name: fonttools dependency-version: 4.60.2 dependency-type: indirect dependency-group: uv - dependency-name: protobuf dependency-version: 6.33.5 dependency-type: direct:production dependency-group: uv - dependency-name: starlette dependency-version: 0.49.1 dependency-type: indirect dependency-group: uv - dependency-name: urllib3 dependency-version: 2.6.3 dependency-type: indirect dependency-group: uv - dependency-name: aiohttp dependency-version: 3.13.3 dependency-type: direct:production dependency-group: uv - dependency-name: sentencepiece dependency-version: 0.2.1 dependency-type: direct:production dependency-group: uv - dependency-name: protobuf dependency-version: 6.33.5 dependency-type: direct:production dependency-group: uv - dependency-name: llama-index dependency-version: 0.13.0 dependency-type: direct:production dependency-group: uv - dependency-name: black dependency-version: 24.3.0 dependency-type: direct:development dependency-group: uv - dependency-name: filelock dependency-version: 3.20.3 dependency-type: indirect dependency-group: uv - dependency-name: fonttools dependency-version: 4.60.2 dependency-type: indirect dependency-group: uv - dependency-name: llama-index-core dependency-version: 0.13.6 dependency-type: indirect dependency-group: uv - dependency-name: marshmallow dependency-version: 3.26.2 dependency-type: indirect dependency-group: uv - dependency-name: pyasn1 dependency-version: 0.6.2 dependency-type: indirect dependency-group: uv - dependency-name: pypdf dependency-version: 6.6.2 dependency-type: indirect dependency-group: uv - dependency-name: starlette dependency-version: 0.49.1 dependency-type: indirect dependency-group: uv - dependency-name: urllib3 dependency-version: 2.6.3 dependency-type: indirect dependency-group: uv ... Signed-off-by: dependabot[bot] <support@github.com>
2026-02-06 02:36:47 +00:00 · 2026-01-30 18:16:30 +00:00
23 changed files with 2207 additions and 2249 deletions
--- a/.gitleaksignore
+++ b/.gitleaksignore
@@ -4,4 +4,3 @@ docs/docs/installation/daily-setup.md:curl-auth-header:277
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:74
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:83
 server/reflector/worker/process.py:generic-api-key:465
-server/reflector/worker/process.py:generic-api-key:594
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,41 +1,5 @@
 # Changelog

-## [0.33.0](https://github.com/Monadical-SAS/reflector/compare/v0.32.2...v0.33.0) (2026-02-05)
-
-
-### Features
-
-* Daily+hatchet default ([#846](https://github.com/Monadical-SAS/reflector/issues/846)) ([15ab2e3](https://github.com/Monadical-SAS/reflector/commit/15ab2e306eacf575494b4b5d2b2ad779d44a1c7f))
-
-
-### Bug Fixes
-
-* websocket tests ([#825](https://github.com/Monadical-SAS/reflector/issues/825)) ([1ce1c7a](https://github.com/Monadical-SAS/reflector/commit/1ce1c7a910b6c374115d2437b17f9d288ef094dc))
-
-## [0.32.2](https://github.com/Monadical-SAS/reflector/compare/v0.32.1...v0.32.2) (2026-02-03)
-
-
-### Bug Fixes
-
-* increase TIMEOUT_MEDIUM from 2m to 5m for LLM tasks ([#843](https://github.com/Monadical-SAS/reflector/issues/843)) ([4acde4b](https://github.com/Monadical-SAS/reflector/commit/4acde4b7fdef88cc02ca12cf38c9020b05ed96ac))
-* make caddy optional ([#841](https://github.com/Monadical-SAS/reflector/issues/841)) ([a2ed7d6](https://github.com/Monadical-SAS/reflector/commit/a2ed7d60d557b551a5b64e4dfd909b63a791d9fc))
-* use Daily API recording.duration as master source for transcript duration ([#844](https://github.com/Monadical-SAS/reflector/issues/844)) ([8707c66](https://github.com/Monadical-SAS/reflector/commit/8707c6694a80c939b6214bbc13331741f192e082))
-
-## [0.32.1](https://github.com/Monadical-SAS/reflector/compare/v0.32.0...v0.32.1) (2026-01-30)
-
-
-### Bug Fixes
-
-* daily multitrack pipeline finalze dependency fix ([23eb137](https://github.com/Monadical-SAS/reflector/commit/23eb1371cb9348c4b81eb12ad506b582f8a4799e))
-* match httpx pad with hatchet audio timeout ([c05d1f0](https://github.com/Monadical-SAS/reflector/commit/c05d1f03cd8369fc06efd455527e50246887efd0))
-
-## [0.32.0](https://github.com/Monadical-SAS/reflector/compare/v0.31.0...v0.32.0) (2026-01-30)
-
-
-### Features
-
-* modal padding ([#837](https://github.com/Monadical-SAS/reflector/issues/837)) ([7fde64e](https://github.com/Monadical-SAS/reflector/commit/7fde64e2529a1d37b0f7507c62d983a7bd0b5b89))
-
 ## [0.31.0](https://github.com/Monadical-SAS/reflector/compare/v0.30.0...v0.31.0) (2026-01-23)


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

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

  caddy:
-    profiles:
-      - caddy
    image: caddy:2-alpine
    restart: unless-stopped
    ports:
--- a/docs/docs/installation/docker-setup.md
+++ b/docs/docs/installation/docker-setup.md
@@ -11,15 +11,15 @@ This page documents the Docker Compose configuration for Reflector. For the comp

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

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

 ## Environment Files

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

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

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

 ## Volumes

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

 ## Network

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

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

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

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

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

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

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

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

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

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

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

 Before starting, you need:

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

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

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

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

 #### Accept HuggingFace Licenses

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

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

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

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

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

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

 ---

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

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

 ## Start Services

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

 ```bash
@@ -437,3 +408,4 @@ docker compose -f docker-compose.prod.yml exec server uv run python -c "from ref
 # Manually run migrations (if needed)
 docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
 ```
+
--- a/gpu/self_hosted/Dockerfile
+++ b/gpu/self_hosted/Dockerfile
@@ -4,31 +4,27 @@ ENV PYTHONUNBUFFERED=1 \
    UV_LINK_MODE=copy \
    UV_NO_CACHE=1

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

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

 CMD ["sh", "/app/runserver.sh"]
--- a/gpu/self_hosted/sequoia.config
+++ b/gpu/self_hosted/sequoia.config
@@ -1,2 +0,0 @@
-[hash_algorithms]
-sha1 = "always"
--- a/gpu/self_hosted/uv.lock
+++ b/gpu/self_hosted/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.12"

 [[package]]
@@ -13,7 +13,7 @@ wheels = [

 [[package]]
 name = "aiohttp"
-version = "3.12.15"
+version = "3.13.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "aiohappyeyeballs" },
@@ -24,42 +24,76 @@ dependencies = [
    { name = "propcache" },
    { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/9b/e7/d92a237d8802ca88483906c388f7c201bbe96cd80a165ffd0ac2f6a8d59f/aiohttp-3.12.15.tar.gz", hash = "sha256:4fc61385e9c98d72fcdf47e6dd81833f47b2f77c114c29cd64a361be57a763a2", size = 7823716, upload-time = "2025-07-29T05:52:32.215Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/63/97/77cb2450d9b35f517d6cf506256bf4f5bda3f93a66b4ad64ba7fc917899c/aiohttp-3.12.15-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:802d3868f5776e28f7bf69d349c26fc0efadb81676d0afa88ed00d98a26340b7", size = 702333, upload-time = "2025-07-29T05:50:46.507Z" },
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+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
 ]

 [[package]]
--- a/server/migrations/versions/3aa20b96d963_drop_use_celery_column.py
+++ b/server/migrations/versions/3aa20b96d963_drop_use_celery_column.py
@@ -1,35 +0,0 @@
-"""drop_use_celery_column
-
-Revision ID: 3aa20b96d963
-Revises: e69f08ead8ea
-Create Date: 2026-02-05 10:12:44.065279
-
-"""
-
-from typing import Sequence, Union
-
-import sqlalchemy as sa
-from alembic import op
-
-# revision identifiers, used by Alembic.
-revision: str = "3aa20b96d963"
-down_revision: Union[str, None] = "e69f08ead8ea"
-branch_labels: Union[str, Sequence[str], None] = None
-depends_on: Union[str, Sequence[str], None] = None
-
-
-def upgrade() -> None:
-    with op.batch_alter_table("room", schema=None) as batch_op:
-        batch_op.drop_column("use_celery")
-
-
-def downgrade() -> None:
-    with op.batch_alter_table("room", schema=None) as batch_op:
-        batch_op.add_column(
-            sa.Column(
-                "use_celery",
-                sa.Boolean(),
-                server_default=sa.text("false"),
-                nullable=False,
-            )
-        )
--- a/server/reflector/db/rooms.py
+++ b/server/reflector/db/rooms.py
@@ -57,6 +57,12 @@ rooms = sqlalchemy.Table(
        sqlalchemy.String,
        nullable=False,
    ),
+    sqlalchemy.Column(
+        "use_celery",
+        sqlalchemy.Boolean,
+        nullable=False,
+        server_default=false(),
+    ),
    sqlalchemy.Column(
        "skip_consent",
        sqlalchemy.Boolean,
@@ -91,6 +97,7 @@ class Room(BaseModel):
    ics_last_sync: datetime | None = None
    ics_last_etag: str | None = None
    platform: Platform = Field(default_factory=lambda: settings.DEFAULT_VIDEO_PLATFORM)
+    use_celery: bool = False
    skip_consent: bool = False


--- a/server/reflector/hatchet/constants.py
+++ b/server/reflector/hatchet/constants.py
@@ -35,9 +35,7 @@ LLM_RATE_LIMIT_PER_SECOND = 10

 # Task execution timeouts (seconds)
 TIMEOUT_SHORT = 60  # Quick operations: API calls, DB updates
-TIMEOUT_MEDIUM = (
-    300  # Single LLM calls, waveform generation (5m for slow LLM responses)
-)
+TIMEOUT_MEDIUM = 120  # Single LLM calls, waveform generation
 TIMEOUT_LONG = 180  # Action items (larger context LLM)
 TIMEOUT_AUDIO = 720  # Audio processing: padding, mixdown
 TIMEOUT_HEAVY = 600  # Transcription, fan-out LLM tasks
--- a/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
+++ b/server/reflector/hatchet/workflows/daily_multitrack_pipeline.py
@@ -322,7 +322,6 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
    mtg_session_id = recording.mtg_session_id
    async with fresh_db_connection():
        from reflector.db.transcripts import (  # noqa: PLC0415
-            TranscriptDuration,
            TranscriptParticipant,
            transcripts_controller,
        )
@@ -331,26 +330,15 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
        if not transcript:
            raise ValueError(f"Transcript {input.transcript_id} not found")
        # Note: title NOT cleared - preserves existing titles
-        # Duration from Daily API (seconds -> milliseconds) - master source
-        duration_ms = recording.duration * 1000 if recording.duration else 0
        await transcripts_controller.update(
            transcript,
            {
                "events": [],
                "topics": [],
                "participants": [],
-                "duration": duration_ms,
            },
        )

-        await append_event_and_broadcast(
-            input.transcript_id,
-            transcript,
-            "DURATION",
-            TranscriptDuration(duration=duration_ms),
-            logger=logger,
-        )
-
        mtg_session_id = assert_non_none_and_non_empty(
            mtg_session_id, "mtg_session_id is required"
        )
@@ -1107,7 +1095,7 @@ async def identify_action_items(


@daily_multitrack_pipeline.task(
-    parents=[process_tracks, generate_title, generate_recap, identify_action_items],
+    parents=[generate_title, generate_recap, identify_action_items],
    execution_timeout=timedelta(seconds=TIMEOUT_SHORT),
    retries=3,
 )
@@ -1120,8 +1108,12 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
    """
    ctx.log("finalize: saving transcript and setting status to 'ended'")

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

+    duration = mixdown_result.duration
+    all_words = track_result.all_words
+
    # Cleanup temporary padded S3 files (deferred until finalize for semantic parity with Celery)
    created_padded_files = track_result.created_padded_files
    if created_padded_files:
@@ -1141,6 +1133,7 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:

    async with fresh_db_connection():
        from reflector.db.transcripts import (  # noqa: PLC0415
+            TranscriptDuration,
            TranscriptText,
            transcripts_controller,
        )
@@ -1149,6 +1142,8 @@ 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,
@@ -1160,15 +1155,21 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
            logger=logger,
        )

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

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

        ctx.log(
--- a/server/reflector/processors/audio_padding_modal.py
+++ b/server/reflector/processors/audio_padding_modal.py
@@ -8,7 +8,6 @@ import os
 import httpx
 from pydantic import BaseModel

-from reflector.hatchet.constants import TIMEOUT_AUDIO
 from reflector.logger import logger


@@ -64,7 +63,7 @@ class AudioPaddingModalProcessor:
            headers["Authorization"] = f"Bearer {self.modal_api_key}"

        try:
-            async with httpx.AsyncClient(timeout=TIMEOUT_AUDIO) as client:
+            async with httpx.AsyncClient() as client:
                response = await client.post(
                    url,
                    headers=headers,
--- a/server/reflector/services/transcript_process.py
+++ b/server/reflector/services/transcript_process.py
@@ -15,10 +15,14 @@ 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


@@ -177,98 +181,124 @@ async def dispatch_transcript_processing(
    Returns AsyncResult for Celery tasks, None for Hatchet workflows.
    """
    if isinstance(config, MultitrackProcessingConfig):
-        # Multitrack processing always uses Hatchet (no Celery fallback)
-        # First check if we can replay (outside transaction since it's read-only)
-        transcript = await transcripts_controller.get_by_id(config.transcript_id)
-        if transcript and transcript.workflow_run_id and not force:
-            can_replay = await HatchetClientManager.can_replay(
-                transcript.workflow_run_id
+        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 can_replay:
-                await HatchetClientManager.replay_workflow(transcript.workflow_run_id)
-                logger.info(
-                    "Replaying Hatchet workflow",
-                    workflow_id=transcript.workflow_run_id,
+
+        if use_hatchet:
+            # First check if we can replay (outside transaction since it's read-only)
+            transcript = await transcripts_controller.get_by_id(config.transcript_id)
+            if transcript and transcript.workflow_run_id and not force:
+                can_replay = await HatchetClientManager.can_replay(
+                    transcript.workflow_run_id
                )
-                return None
-            else:
-                # Workflow can't replay (CANCELLED, COMPLETED, or 404 deleted)
-                # Log and proceed to start new workflow
+                if can_replay:
+                    await HatchetClientManager.replay_workflow(
+                        transcript.workflow_run_id
+                    )
+                    logger.info(
+                        "Replaying Hatchet workflow",
+                        workflow_id=transcript.workflow_run_id,
+                    )
+                    return None
+                else:
+                    # Workflow can't replay (CANCELLED, COMPLETED, or 404 deleted)
+                    # Log and proceed to start new workflow
+                    try:
+                        status = await HatchetClientManager.get_workflow_run_status(
+                            transcript.workflow_run_id
+                        )
+                        logger.info(
+                            "Old workflow not replayable, starting new",
+                            old_workflow_id=transcript.workflow_run_id,
+                            old_status=status.value,
+                        )
+                    except NotFoundException:
+                        # Workflow deleted from Hatchet but ID still in DB
+                        logger.info(
+                            "Old workflow not found in Hatchet, starting new",
+                            old_workflow_id=transcript.workflow_run_id,
+                        )
+
+            # Force: cancel old workflow if exists
+            if force and transcript and transcript.workflow_run_id:
+                try:
+                    await HatchetClientManager.cancel_workflow(
+                        transcript.workflow_run_id
+                    )
+                    logger.info(
+                        "Cancelled old workflow (--force)",
+                        workflow_id=transcript.workflow_run_id,
+                    )
+                except NotFoundException:
+                    logger.info(
+                        "Old workflow already deleted (--force)",
+                        workflow_id=transcript.workflow_run_id,
+                    )
+                await transcripts_controller.update(
+                    transcript, {"workflow_run_id": None}
+                )
+
+            # Re-fetch and check for concurrent dispatch (optimistic approach).
+            # No database lock - worst case is duplicate dispatch, but Hatchet
+            # workflows are idempotent so this is acceptable.
+            transcript = await transcripts_controller.get_by_id(config.transcript_id)
+            if transcript and transcript.workflow_run_id:
+                # Another process started a workflow between validation and now
                try:
                    status = await HatchetClientManager.get_workflow_run_status(
                        transcript.workflow_run_id
                    )
-                    logger.info(
-                        "Old workflow not replayable, starting new",
-                        old_workflow_id=transcript.workflow_run_id,
-                        old_status=status.value,
-                    )
-                except NotFoundException:
-                    # Workflow deleted from Hatchet but ID still in DB
-                    logger.info(
-                        "Old workflow not found in Hatchet, starting new",
-                        old_workflow_id=transcript.workflow_run_id,
-                    )
+                    if status in (V1TaskStatus.RUNNING, V1TaskStatus.QUEUED):
+                        logger.info(
+                            "Concurrent workflow detected, skipping dispatch",
+                            workflow_id=transcript.workflow_run_id,
+                        )
+                        return None
+                except ApiException:
+                    # Workflow might be gone (404) or API issue - proceed with new workflow
+                    pass

-        # Force: cancel old workflow if exists
-        if force and transcript and transcript.workflow_run_id:
-            try:
-                await HatchetClientManager.cancel_workflow(transcript.workflow_run_id)
-                logger.info(
-                    "Cancelled old workflow (--force)",
-                    workflow_id=transcript.workflow_run_id,
-                )
-            except NotFoundException:
-                logger.info(
-                    "Old workflow already deleted (--force)",
-                    workflow_id=transcript.workflow_run_id,
-                )
-            await transcripts_controller.update(transcript, {"workflow_run_id": None})
-
-        # Re-fetch and check for concurrent dispatch (optimistic approach).
-        # No database lock - worst case is duplicate dispatch, but Hatchet
-        # workflows are idempotent so this is acceptable.
-        transcript = await transcripts_controller.get_by_id(config.transcript_id)
-        if transcript and transcript.workflow_run_id:
-            # Another process started a workflow between validation and now
-            try:
-                status = await HatchetClientManager.get_workflow_run_status(
-                    transcript.workflow_run_id
-                )
-                if status in (V1TaskStatus.RUNNING, V1TaskStatus.QUEUED):
-                    logger.info(
-                        "Concurrent workflow detected, skipping dispatch",
-                        workflow_id=transcript.workflow_run_id,
-                    )
-                    return None
-            except ApiException:
-                # Workflow might be gone (404) or API issue - proceed with new workflow
-                pass
-
-        workflow_id = await HatchetClientManager.start_workflow(
-            workflow_name="DiarizationPipeline",
-            input_data={
-                "recording_id": config.recording_id,
-                "tracks": [{"s3_key": k} for k in config.track_keys],
-                "bucket_name": config.bucket_name,
-                "transcript_id": config.transcript_id,
-                "room_id": config.room_id,
-            },
-            additional_metadata={
-                "transcript_id": config.transcript_id,
-                "recording_id": config.recording_id,
-                "daily_recording_id": config.recording_id,
-            },
-        )
-
-        if transcript:
-            await transcripts_controller.update(
-                transcript, {"workflow_run_id": workflow_id}
+            workflow_id = await HatchetClientManager.start_workflow(
+                workflow_name="DiarizationPipeline",
+                input_data={
+                    "recording_id": config.recording_id,
+                    "tracks": [{"s3_key": k} for k in config.track_keys],
+                    "bucket_name": config.bucket_name,
+                    "transcript_id": config.transcript_id,
+                    "room_id": config.room_id,
+                },
+                additional_metadata={
+                    "transcript_id": config.transcript_id,
+                    "recording_id": config.recording_id,
+                    "daily_recording_id": config.recording_id,
+                },
            )

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

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

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


@@ -155,7 +155,7 @@ class Settings(BaseSettings):
        None  # Webhook UUID for this environment. Not used by production code
    )
    # Platform Configuration
-    DEFAULT_VIDEO_PLATFORM: Platform = DAILY_PLATFORM
+    DEFAULT_VIDEO_PLATFORM: Platform = WHEREBY_PLATFORM

    # Zulip integration
    ZULIP_REALM: str | None = None
--- a/server/reflector/worker/process.py
+++ b/server/reflector/worker/process.py
@@ -27,6 +27,9 @@ from reflector.db.transcripts import (
 from reflector.hatchet.client import HatchetClientManager
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
 from reflector.pipelines.main_live_pipeline import asynctask
+from reflector.pipelines.main_multitrack_pipeline import (
+    task_pipeline_multitrack_process,
+)
 from reflector.pipelines.topic_processing import EmptyPipeline
 from reflector.processors import AudioFileWriterProcessor
 from reflector.processors.audio_waveform_processor import AudioWaveformProcessor
@@ -348,29 +351,49 @@ async def _process_multitrack_recording_inner(
            room_id=room.id,
        )

-    # Multitrack processing always uses Hatchet (no Celery fallback)
-    workflow_id = await HatchetClientManager.start_workflow(
-        workflow_name="DiarizationPipeline",
-        input_data={
-            "recording_id": recording_id,
-            "tracks": [{"s3_key": k} for k in filter_cam_audio_tracks(track_keys)],
-            "bucket_name": bucket_name,
-            "transcript_id": transcript.id,
-            "room_id": room.id,
-        },
-        additional_metadata={
-            "transcript_id": transcript.id,
-            "recording_id": recording_id,
-            "daily_recording_id": recording_id,
-        },
-    )
-    logger.info(
-        "Started Hatchet workflow",
-        workflow_id=workflow_id,
-        transcript_id=transcript.id,
-    )
+    use_celery = room and room.use_celery
+    use_hatchet = not use_celery

-    await transcripts_controller.update(transcript, {"workflow_run_id": workflow_id})
+    if use_celery:
+        logger.info(
+            "Room uses legacy Celery processing",
+            room_id=room.id,
+            transcript_id=transcript.id,
+        )
+
+    if use_hatchet:
+        workflow_id = await HatchetClientManager.start_workflow(
+            workflow_name="DiarizationPipeline",
+            input_data={
+                "recording_id": recording_id,
+                "tracks": [{"s3_key": k} for k in filter_cam_audio_tracks(track_keys)],
+                "bucket_name": bucket_name,
+                "transcript_id": transcript.id,
+                "room_id": room.id,
+            },
+            additional_metadata={
+                "transcript_id": transcript.id,
+                "recording_id": recording_id,
+                "daily_recording_id": recording_id,
+            },
+        )
+        logger.info(
+            "Started Hatchet workflow",
+            workflow_id=workflow_id,
+            transcript_id=transcript.id,
+        )
+
+        await transcripts_controller.update(
+            transcript, {"workflow_run_id": workflow_id}
+        )
+        return
+
+    # Celery pipeline (runs when durable workflows disabled)
+    task_pipeline_multitrack_process.delay(
+        transcript_id=transcript.id,
+        bucket_name=bucket_name,
+        track_keys=filter_cam_audio_tracks(track_keys),
+    )


@shared_task
@@ -1049,43 +1072,66 @@ async def reprocess_failed_daily_recordings():
                )
                continue

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

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

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

--- a/server/reflector/ws_manager.py
+++ b/server/reflector/ws_manager.py
@@ -11,6 +11,7 @@ broadcast messages to all connected websockets.

 import asyncio
 import json
+import threading

 import redis.asyncio as redis
 from fastapi import WebSocket
@@ -97,7 +98,6 @@ class WebsocketManager:

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


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

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

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

-    if _ws_manager is not None:
-        return _ws_manager
-
-    # No lock needed - GIL makes this safe enough
-    # Worst case: race creates two instances, last assignment wins
    pubsub_client = RedisPubSubManager(
        host=settings.REDIS_HOST,
        port=settings.REDIS_PORT,
    )
-    _ws_manager = WebsocketManager(pubsub_client=pubsub_client)
-    return _ws_manager
-
-
-def reset_ws_manager() -> None:
-    """Reset singleton for testing. DO NOT use in production."""
-    global _ws_manager
-    _ws_manager = None
+    ws_manager = WebsocketManager(pubsub_client=pubsub_client)
+    local.ws_manager = ws_manager
+    return ws_manager
--- a/server/tests/conftest.py
+++ b/server/tests/conftest.py
@@ -1,10 +1,11 @@
 import os
 from contextlib import asynccontextmanager
+from tempfile import NamedTemporaryFile
 from unittest.mock import patch

 import pytest

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


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

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


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

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


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

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

--- a/server/tests/test_transcripts_process.py
+++ b/server/tests/test_transcripts_process.py
@@ -1,6 +1,6 @@
 import asyncio
 import time
-from unittest.mock import AsyncMock, patch
+from unittest.mock import patch

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

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

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


@pytest.mark.usefixtures("setup_database")
@@ -177,6 +177,8 @@ 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(
        "",
@@ -211,23 +213,18 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
            "reflector.services.transcript_process.task_pipeline_file_process"
        ) as mock_file_pipeline,
        patch(
-            "reflector.services.transcript_process.HatchetClientManager"
-        ) as mock_hatchet,
+            "reflector.services.transcript_process.task_pipeline_multitrack_process"
+        ) as mock_multitrack_pipeline,
    ):
-        mock_hatchet.start_workflow = AsyncMock(return_value="test-workflow-id")
-
        response = await client.post(f"/transcripts/{transcript.id}/process")

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

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


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


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

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


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

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

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

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