config.yaml

wake_word:
  # Built-in options: hey_jarvis_v0.1, alexa_v0.1, hey_mycroft_v0.1
  # Custom models: place .onnx in models/ and reference by filename without extension
  model: "computer_v2"
  threshold: 0.98
  trigger_level: 3   # consecutive chunks above threshold required to activate (~240ms)

stt:
  model: "large-v3"       # whisper model: tiny, base, small, medium, large-v3
  device: "cuda"           # cuda or cpu
  compute_type: "float16"  # float16 (GPU) or int8 (CPU/lower VRAM)
  language: "en"

llm:
  base_url: "http://localhost:11434"
  model: "computer-assistant"
  system_prompt: >
    You are a helpful AI assistant. Keep responses concise and conversational.
    Do not use markdown, bullet points, numbered lists, or any formatting that
    does not translate well to speech. Respond naturally as if speaking aloud.
    Avoid filler phrases like "Certainly!" or "Of course!". Just answer directly.

tts:
  # Path to downloaded Piper voice model (.onnx file)
  model_path: "models/en_US-lessac-medium.onnx"
  speaker_id: null  # null for single-speaker models

audio:
  sample_rate: 16000
  channels: 1
  chunk_size: 1280         # ~80ms at 16kHz — optimal for wake word detection
  silence_threshold: 0.02  # normalized RMS (0.0-1.0); raise if noisy environment
  silence_duration: 1.5    # seconds of silence before ending recording
  max_record_duration: 30.0