TYPE=caption-ninja
# First deploy downloads the Whisper model; give abra time to converge.
TIMEOUT=900

# caption.ninja pages (capture, editor, overlay) and the private relay at /relay
DOMAIN=caption-ninja.example.com
# Caption Local speech-to-text service (needs its own hostname: it uses absolute paths)
STT_DOMAIN=stt-caption-ninja.example.com

LETS_ENCRYPT_ENV=production

# Relay room tokens: 32-128 URL-safe chars, all four must differ.
# "source" = capture -> editor, "output" = editor -> overlay/OBS.
SECRET_SRC_READ_VERSION=v1 # length=48
SECRET_SRC_WRITE_VERSION=v1 # length=48
SECRET_OUT_READ_VERSION=v1 # length=48
SECRET_OUT_WRITE_VERSION=v1 # length=48
# Caption Local shared service token (>= 24 chars, no whitespace)
SECRET_STT_API_KEY_VERSION=v1 # length=48

## Speech-to-text tuning (CPU). See upstream docs/DEPLOYMENT-PROFILES.md.
## Whisper model: tiny, base, small (default), medium, large-v3. Bigger = more RAM + CPU.
#CAPTION_MODEL=small
## Decoder beam width 1-5; 1 is fastest
#CAPTION_BEAM_SIZE=5
## Concurrent model workers; threads are per worker. Keep workers*threads <= cores.
#CAPTION_WORKERS=1
#CAPTION_THREADS=4
#CAPTION_MAX_STREAMS=12
## Set to 1 once the model has downloaded into the volume, to stop Hugging Face lookups
#CAPTION_OFFLINE=0
## Metadata-only request logs (no audio/text/tokens)
#CAPTION_LOG_REQUESTS=0

## Extra exact origins (comma separated, e.g. https://steveseguin.github.io)
#RELAY_EXTRA_ORIGINS=
#STT_EXTRA_ORIGINS=
## Max relay sockets per client IP (everyone shares Traefik's IP)
#RELAY_PER_IP=512