mirror of
https://github.com/Monadical-SAS/reflector.git
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045eae8ff2
* feat: enable daily co in selfhosted + only schedule tasks when necessary * feat: refactor aws storage to be platform agnostic + add local pad tracking with slfhosted support
146 lines
5.8 KiB
Plaintext
146 lines
5.8 KiB
Plaintext
# =======================================================
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# Reflector Self-Hosted Production — Backend Configuration
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# Generated by: ./scripts/setup-selfhosted.sh
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# Reference: server/reflector/settings.py
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# =======================================================
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# =======================================================
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# Database & Infrastructure
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# Pre-filled for Docker internal networking (docker-compose.selfhosted.yml)
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# =======================================================
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DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
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REDIS_HOST=redis
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REDIS_PORT=6379
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CELERY_BROKER_URL=redis://redis:6379/1
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CELERY_RESULT_BACKEND=redis://redis:6379/1
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# Secret key — auto-generated by setup script
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# Generate manually with: openssl rand -hex 32
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SECRET_KEY=changeme-generate-a-secure-random-string
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# =======================================================
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# Authentication
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# Disabled by default. Enable Authentik for multi-user access.
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# See docsv2/selfhosted-production.md for setup instructions.
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# =======================================================
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AUTH_BACKEND=none
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# AUTH_BACKEND=jwt
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# AUTH_JWT_AUDIENCE=
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# AUTH_BACKEND=password
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# ADMIN_EMAIL=admin@localhost
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# ADMIN_PASSWORD_HASH=pbkdf2:sha256:100000$<salt>$<hash>
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# =======================================================
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# Specialized Models (Transcription, Diarization, Translation)
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# These run in the gpu/cpu container — NOT an LLM.
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# The "modal" backend means "HTTP API client" — it talks to
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# the self-hosted container, not Modal.com cloud.
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# =======================================================
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TRANSCRIPT_BACKEND=modal
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TRANSCRIPT_URL=http://transcription:8000
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TRANSCRIPT_MODAL_API_KEY=selfhosted
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DIARIZATION_ENABLED=true
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DIARIZATION_BACKEND=modal
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DIARIZATION_URL=http://transcription:8000
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TRANSLATION_BACKEND=modal
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TRANSLATE_URL=http://transcription:8000
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PADDING_BACKEND=modal
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PADDING_URL=http://transcription:8000
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# HuggingFace token — optional, for gated models (e.g. pyannote).
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# Falls back to public S3 model bundle if not set.
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# HF_TOKEN=hf_xxxxx
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# =======================================================
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# LLM for Summarization & Topic Detection
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# Only summaries and topics use an LLM. Everything else
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# (transcription, diarization, translation) uses specialized models above.
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#
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# Supports any OpenAI-compatible endpoint.
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# Auto-configured by setup script if using --ollama-gpu or --ollama-cpu.
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# For --gpu or --cpu modes, you MUST configure an external LLM.
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# =======================================================
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# --- Option A: External OpenAI-compatible API ---
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# LLM_URL=https://api.openai.com/v1
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# LLM_API_KEY=sk-your-api-key
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# LLM_MODEL=gpt-4o-mini
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# --- Option B: Local Ollama (auto-set by --ollama-gpu/--ollama-cpu) ---
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# LLM_URL=http://ollama:11435/v1
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# LLM_API_KEY=not-needed
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# LLM_MODEL=llama3.1
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LLM_CONTEXT_WINDOW=16000
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# =======================================================
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# S3 Storage (REQUIRED)
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# Where to store audio files and transcripts.
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#
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# Option A: Use --garage flag (auto-configured by setup script)
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# Option B: Any S3-compatible endpoint (AWS, MinIO, etc.)
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# Set TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL for non-AWS endpoints.
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# =======================================================
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TRANSCRIPT_STORAGE_BACKEND=aws
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TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=
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TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=
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TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=reflector-media
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TRANSCRIPT_STORAGE_AWS_REGION=us-east-1
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# For non-AWS S3-compatible endpoints (Garage, MinIO, etc.):
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# TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL=http://garage:3900
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# =======================================================
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# Daily.co Live Rooms (Optional)
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# Enable real-time meeting rooms with Daily.co integration.
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# Configure these BEFORE running setup-selfhosted.sh and the
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# script will auto-detect and start Hatchet workflow services.
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#
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# Prerequisites:
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# 1. Daily.co account: https://www.daily.co/
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# 2. API key: Dashboard → Developers → API Keys
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# 3. S3 bucket for recordings: https://docs.daily.co/guides/products/live-streaming-recording/storing-recordings-in-a-custom-s3-bucket
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# 4. IAM role ARN for Daily.co to write recordings to your bucket
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#
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# After configuring, run: ./scripts/setup-selfhosted.sh <your-flags>
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# The script will detect DAILY_API_KEY and automatically:
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# - Start Hatchet workflow engine + CPU/LLM workers
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# - Generate a Hatchet API token
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# - Enable FEATURE_ROOMS in the frontend
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# =======================================================
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# DAILY_API_KEY=your-daily-api-key
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# DAILY_SUBDOMAIN=your-subdomain
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# DEFAULT_VIDEO_PLATFORM=daily
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# DAILYCO_STORAGE_AWS_BUCKET_NAME=reflector-dailyco
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# DAILYCO_STORAGE_AWS_REGION=us-east-1
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# DAILYCO_STORAGE_AWS_ROLE_ARN=arn:aws:iam::role/DailyCoAccess
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# Worker credentials for reading/deleting from Daily's recording bucket
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# Required when transcript storage is separate from Daily's bucket (e.g., selfhosted with Garage)
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# DAILYCO_STORAGE_AWS_ACCESS_KEY_ID=your-aws-access-key
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# DAILYCO_STORAGE_AWS_SECRET_ACCESS_KEY=your-aws-secret-key
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# DAILY_WEBHOOK_SECRET=your-daily-webhook-secret # optional, for faster recording discovery
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# =======================================================
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# Hatchet Workflow Engine (Auto-configured for Daily.co)
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# Required for Daily.co multitrack recording processing.
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# The setup script generates HATCHET_CLIENT_TOKEN automatically.
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# Do not set these manually unless you know what you're doing.
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# =======================================================
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# HATCHET_CLIENT_TOKEN=<auto-generated-by-script>
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# HATCHET_CLIENT_SERVER_URL=http://hatchet:8888
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# HATCHET_CLIENT_HOST_PORT=hatchet:7077
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# =======================================================
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# Feature Flags
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# =======================================================
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PUBLIC_MODE=true
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# FEATURE_ROOMS=true
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# =======================================================
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# Sentry (Optional)
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# =======================================================
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# SENTRY_DSN=
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