example.env

# Libretranslate Configuration
## Check out https://github.com/LibreTranslate/LibreTranslate#configuration-parameters for more libretranslate configuration options
TRANSLATE_LANGUAGES=es,en,fr
LT_LOAD_ONLY=es,en,fr

# LLM subtitle translation configuration (OpenAI-compatible chat completions API)
# Examples:
# - Ollama: http://ollama:11434/v1/chat/completions
# - LM Studio: http://host.docker.internal:1234/v1/chat/completions
# - OpenAI-compatible provider: https://api.example.com/v1/chat/completions
LLM_TRANSLATION_ENDPOINT=
LLM_TRANSLATION_API_KEY=
LLM_TRANSLATION_MODEL=
LLM_TRANSLATION_TIMEOUT_SECONDS=120
LLM_TRANSLATION_CHUNK_SIZE=50
# LLM_TRANSLATION_CONCURRENCY=5   # max concurrent API calls (default 3, higher = faster parallel translation)
# LLM_TRANSLATION_MAX_RETRIES=5   # retry count for network errors, 429, and 5xx responses
# LLM_TRANSLATION_DEBUG_IO=true   # log raw LLM request/response bodies; may include subtitle text and context
# LLM_TRANSLATION_SESSION_HISTORY_CHUNKS=1   # opt-in: reuse recent chunk translations as chat history; forces sequential chunk translation
# LLM_TRANSLATION_NO_TOOLS=true   # set to "true" to disable function/tool calling

# Whisper Configuration
WHISPER_MODELS=tiny,small
WHISHPER_HOST=http://127.0.0.1:8082

# Database Configuration
DB_USER=whishper
DB_PASS=whishper