mirror of
https://github.com/Monadical-SAS/reflector.git
synced 2026-04-08 23:06:47 +00:00
bc8338fa4f
* feat: Livekit bare no recording nor pipeline * feat: full livekit pipeline * fix: caddy hatchet with livekit * fix: caddy livekit * fix: hatchet tls * fix: agg to webm for no padding * fix: reflector user id on participants and duration fix * fix: better docs and internal review fixes * fix: remove video files livekit
240 lines
8.3 KiB
Python
240 lines
8.3 KiB
Python
from pydantic.types import PositiveInt
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from reflector.schemas.platform import DAILY_PLATFORM, Platform
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from reflector.utils.string import NonEmptyString
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class Settings(BaseSettings):
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore",
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)
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ROOT_PATH: str = "/"
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# WebRTC port range for ICE candidates (e.g. "50000-50100").
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# When set, monkey-patches aioice to bind UDP sockets within this range,
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# allowing Docker port mapping instead of network_mode: host.
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WEBRTC_PORT_RANGE: str | None = None
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# Host IP or hostname to advertise in ICE candidates instead of the
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# container's internal IP. Use "host.docker.internal" in Docker with
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# extra_hosts, or a specific LAN IP. Resolved at connection time.
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WEBRTC_HOST: str | None = None
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# CORS
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UI_BASE_URL: str = "http://localhost:3000"
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CORS_ORIGIN: str = "*"
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CORS_ALLOW_CREDENTIALS: bool = False
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# Database
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DATABASE_URL: str = (
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"postgresql+asyncpg://reflector:reflector@localhost:5432/reflector"
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)
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# local data directory
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DATA_DIR: str = "./data"
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# Audio Chunking
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# backends: silero, frames
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AUDIO_CHUNKER_BACKEND: str = "frames"
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# HuggingFace token for gated models (pyannote diarization in --cpu mode)
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HF_TOKEN: str | None = None
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# Audio Transcription
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# backends:
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# - whisper: in-process model loading (no HTTP, runs in same process)
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# - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
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TRANSCRIPT_BACKEND: str = "whisper"
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# Whisper model sizes for local transcription
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# Options: "tiny", "base", "small", "medium", "large-v2"
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WHISPER_CHUNK_MODEL: str = "tiny"
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WHISPER_FILE_MODEL: str = "tiny"
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TRANSCRIPT_URL: str | None = None
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TRANSCRIPT_TIMEOUT: int = 90
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TRANSCRIPT_FILE_TIMEOUT: int = (
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540 # Below Hatchet TIMEOUT_HEAVY (600) to avoid timeout race
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)
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# Audio Transcription: modal backend
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TRANSCRIPT_MODAL_API_KEY: str | None = None
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# Audio transcription storage
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TRANSCRIPT_STORAGE_BACKEND: str | None = None
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# Storage configuration for AWS
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TRANSCRIPT_STORAGE_AWS_BUCKET_NAME: str = "reflector-bucket"
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TRANSCRIPT_STORAGE_AWS_REGION: str = "us-east-1"
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TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID: str | None = None
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TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY: str | None = None
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TRANSCRIPT_STORAGE_AWS_ENDPOINT_URL: str | None = None
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# Platform-specific recording storage (follows {PREFIX}_STORAGE_AWS_{CREDENTIAL} pattern)
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# Whereby storage configuration
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WHEREBY_STORAGE_AWS_BUCKET_NAME: str | None = None
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WHEREBY_STORAGE_AWS_REGION: str | None = None
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WHEREBY_STORAGE_AWS_ACCESS_KEY_ID: str | None = None
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WHEREBY_STORAGE_AWS_SECRET_ACCESS_KEY: str | None = None
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# Daily.co storage configuration
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DAILYCO_STORAGE_AWS_BUCKET_NAME: str | None = None
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DAILYCO_STORAGE_AWS_REGION: str | None = None
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DAILYCO_STORAGE_AWS_ROLE_ARN: str | None = None
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# Worker credentials for reading/deleting from Daily's recording bucket
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DAILYCO_STORAGE_AWS_ACCESS_KEY_ID: str | None = None
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DAILYCO_STORAGE_AWS_SECRET_ACCESS_KEY: str | None = None
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# Translate into the target language
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TRANSLATION_BACKEND: str = "passthrough"
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TRANSLATE_URL: str | None = None
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TRANSLATE_TIMEOUT: int = 90
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# Translation: modal backend
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TRANSLATE_MODAL_API_KEY: str | None = None
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# LLM
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LLM_MODEL: str = "microsoft/phi-4"
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LLM_URL: str | None = None
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LLM_API_KEY: str | None = None
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LLM_CONTEXT_WINDOW: int = 16000
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LLM_REQUEST_TIMEOUT: float = 300.0 # HTTP request timeout for LLM calls (seconds)
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LLM_PARSE_MAX_RETRIES: int = (
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3 # Max retries for JSON/validation errors (total attempts = retries + 1)
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)
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LLM_STRUCTURED_RESPONSE_TIMEOUT: int = (
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300 # Timeout in seconds for structured responses (5 minutes)
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)
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# Diarization
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# backends: modal — HTTP API client, pyannote — in-process pyannote.audio
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DIARIZATION_ENABLED: bool = True
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DIARIZATION_BACKEND: str = "modal"
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DIARIZATION_URL: str | None = None
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DIARIZATION_FILE_TIMEOUT: int = 600
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# Diarization: modal backend
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DIARIZATION_MODAL_API_KEY: str | None = None
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# Audio Padding
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# backends:
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# - pyav: in-process PyAV padding (no HTTP, runs in same process)
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# - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
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PADDING_BACKEND: str = "pyav"
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PADDING_URL: str | None = None
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PADDING_MODAL_API_KEY: str | None = None
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# Audio Mixdown
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# backends:
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# - pyav: in-process PyAV mixdown (no HTTP, runs in same process)
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# - modal: HTTP API client (works with Modal.com OR self-hosted gpu/self_hosted/)
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MIXDOWN_BACKEND: str = "pyav"
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MIXDOWN_URL: str | None = None
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MIXDOWN_MODAL_API_KEY: str | None = None
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# Sentry
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SENTRY_DSN: str | None = None
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# User authentication (none, jwt, password)
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AUTH_BACKEND: str = "none"
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# User authentication using JWT
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AUTH_JWT_ALGORITHM: str = "RS256"
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AUTH_JWT_PUBLIC_KEY: str | None = "authentik.monadical.com_public.pem"
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AUTH_JWT_AUDIENCE: str | None = None
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# User authentication using password (selfhosted)
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ADMIN_EMAIL: str | None = None
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ADMIN_PASSWORD_HASH: str | None = None
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PUBLIC_MODE: bool = False
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PUBLIC_DATA_RETENTION_DAYS: PositiveInt = 7
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# Min transcript length to generate topic + summary
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MIN_TRANSCRIPT_LENGTH: int = 750
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# Celery
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CELERY_BROKER_URL: str = "redis://localhost:6379/1"
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CELERY_RESULT_BACKEND: str = "redis://localhost:6379/1"
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# Redis
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REDIS_HOST: str = "localhost"
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REDIS_PORT: int = 6379
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REDIS_CACHE_DB: int = 2
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# Secret key
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SECRET_KEY: str = "changeme-f02f86fd8b3e4fd892c6043e5a298e21"
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# Current hosting/domain
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BASE_URL: str = "http://localhost:1250"
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# Profiling
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PROFILING: bool = False
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# Healthcheck
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HEALTHCHECK_URL: str | None = None
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# Whereby integration
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WHEREBY_API_URL: str = "https://api.whereby.dev/v1"
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WHEREBY_API_KEY: NonEmptyString | None = None
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WHEREBY_WEBHOOK_SECRET: str | None = None
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AWS_PROCESS_RECORDING_QUEUE_URL: str | None = None
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SQS_POLLING_TIMEOUT_SECONDS: int = 60
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CELERY_BEAT_POLL_INTERVAL: int = (
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0 # 0 = use individual defaults; set e.g. 300 for 5-min polling
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)
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# Daily.co integration
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DAILY_API_URL: str = "https://api.daily.co/v1"
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DAILY_API_KEY: str | None = None
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DAILY_WEBHOOK_SECRET: str | None = None
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DAILY_SUBDOMAIN: str | None = None
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DAILY_WEBHOOK_UUID: str | None = (
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None # Webhook UUID for this environment. Not used by production code
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)
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# LiveKit integration (self-hosted open-source video platform)
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LIVEKIT_URL: str | None = (
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None # e.g. ws://livekit:7880 (internal) or wss://livekit.example.com
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)
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LIVEKIT_API_KEY: str | None = None
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LIVEKIT_API_SECRET: str | None = None
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LIVEKIT_WEBHOOK_SECRET: str | None = None # Defaults to API_SECRET if not set
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# LiveKit egress S3 storage (Track Egress writes per-participant audio here)
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LIVEKIT_STORAGE_AWS_BUCKET_NAME: str | None = None
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LIVEKIT_STORAGE_AWS_REGION: str | None = None
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LIVEKIT_STORAGE_AWS_ACCESS_KEY_ID: str | None = None
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LIVEKIT_STORAGE_AWS_SECRET_ACCESS_KEY: str | None = None
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LIVEKIT_STORAGE_AWS_ENDPOINT_URL: str | None = None # For Garage/MinIO
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# Public URL for LiveKit (used in frontend room_url, e.g. wss://livekit.example.com)
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LIVEKIT_PUBLIC_URL: str | None = None
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# Platform Configuration
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DEFAULT_VIDEO_PLATFORM: Platform = DAILY_PLATFORM
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# Zulip integration
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ZULIP_REALM: str | None = None
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ZULIP_API_KEY: str | None = None
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ZULIP_BOT_EMAIL: str | None = None
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ZULIP_DAG_STREAM: str | None = None
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ZULIP_DAG_TOPIC: str | None = None
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# Email / SMTP integration (for transcript email notifications)
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SMTP_HOST: str | None = None
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SMTP_PORT: int = 587
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SMTP_USERNAME: str | None = None
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SMTP_PASSWORD: str | None = None
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SMTP_FROM_EMAIL: str | None = None
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SMTP_USE_TLS: bool = True
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# Hatchet workflow orchestration (always enabled for multitrack processing)
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HATCHET_CLIENT_TOKEN: str | None = None
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HATCHET_CLIENT_TLS_STRATEGY: str = "none" # none, tls, mtls
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HATCHET_DEBUG: bool = False
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settings = Settings()
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