# Agent behavior configuration for DashScope realtime ASR/TTS.
# This file only controls agent-side behavior (VAD/LLM/TTS/ASR providers).
# Infra/server/network settings should stay in .env.

agent:
  vad:
    type: silero
    model_path: data/vad/silero_vad.onnx
    threshold: 0.5
    min_speech_duration_ms: 100
    eou_threshold_ms: 800

  llm:
    # provider: openai | openai_compatible | siliconflow
    provider: openai_compatible
    model: deepseek-v3
    temperature: 0.7
    api_key: sk-fc4d59b360475f53401a864db8ce0985010acc4e696723d20a90d6569f38d80a
    api_url: https://api.qnaigc.com/v1

  tts:
    provider: dashscope
    api_key: sk-391f5126d18345d497c6e8717c8c9ad7
    api_url: wss://dashscope.aliyuncs.com/api-ws/v1/realtime
    model: qwen3-tts-flash-realtime
    voice: Cherry
    dashscope_mode: commit
    speed: 1.0

  asr:
    provider: dashscope
    api_key: sk-391f5126d18345d497c6e8717c8c9ad7
    api_url: wss://dashscope.aliyuncs.com/api-ws/v1/realtime
    model: qwen3-asr-flash-realtime
    interim_interval_ms: 500
    min_audio_ms: 300
    start_min_speech_ms: 160
    pre_speech_ms: 240
    final_tail_ms: 120

  duplex:
    enabled: true
    system_prompt: 你是一个人工智能助手，你用简答语句回答，避免使用标点符号和emoji。

  barge_in:
    min_duration_ms: 200
    silence_tolerance_ms: 60