64 lines
1.9 KiB
Plaintext
64 lines
1.9 KiB
Plaintext
# -----------------------------------------------------------------------------
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# Engine .env example (safe template)
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# Notes:
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# - Never commit real API keys.
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# - Start with defaults below, then tune from logs.
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# -----------------------------------------------------------------------------
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# Server
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HOST=0.0.0.0
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PORT=8000
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# EXTERNAL_IP=1.2.3.4
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# Backend bridge (optional)
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# BACKEND_MODE=auto|http|disabled
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BACKEND_MODE=auto
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BACKEND_URL=http://127.0.0.1:8100
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BACKEND_TIMEOUT_SEC=10
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HISTORY_ENABLED=true
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HISTORY_DEFAULT_USER_ID=1
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HISTORY_QUEUE_MAX_SIZE=256
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HISTORY_RETRY_MAX_ATTEMPTS=2
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HISTORY_RETRY_BACKOFF_SEC=0.2
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HISTORY_FINALIZE_DRAIN_TIMEOUT_SEC=1.5
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# Audio
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SAMPLE_RATE=16000
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# 20ms is recommended for VAD stability and latency.
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# 100ms works but usually worsens start-of-speech accuracy.
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CHUNK_SIZE_MS=20
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DEFAULT_CODEC=pcm
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MAX_AUDIO_BUFFER_SECONDS=30
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# Agent profile selection (optional fallback when CLI args are not used)
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# Prefer CLI:
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# python -m app.main --agent-config config/agents/default.yaml
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# python -m app.main --agent-profile default
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# AGENT_CONFIG_PATH=config/agents/default.yaml
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# AGENT_PROFILE=default
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AGENT_CONFIG_DIR=config/agents
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# Optional: provider credentials referenced from YAML, e.g. ${LLM_API_KEY}
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# LLM_API_KEY=your_llm_api_key_here
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# LLM_API_URL=https://api.openai.com/v1
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# TTS_API_KEY=your_tts_api_key_here
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# TTS_API_URL=https://api.example.com/v1/audio/speech
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# ASR_API_KEY=your_asr_api_key_here
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# ASR_API_URL=https://api.example.com/v1/audio/transcriptions
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# Logging
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LOG_LEVEL=INFO
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# json is better for production/observability; text is easier locally.
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LOG_FORMAT=json
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# WebSocket behavior
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INACTIVITY_TIMEOUT_SEC=60
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HEARTBEAT_INTERVAL_SEC=50
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WS_PROTOCOL_VERSION=v1
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# WS_API_KEY=replace_with_shared_secret
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WS_REQUIRE_AUTH=false
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# CORS / ICE (JSON strings)
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CORS_ORIGINS=["http://localhost:3000","http://localhost:8080"]
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ICE_SERVERS=[{"urls":"stun:stun.l.google.com:19302"}]
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