# Jarvis Voice Bot Configuration
# Environment variables in .env override these values

# ============================================================================
# Discord Settings
# ============================================================================
discord:
  # Bot token from Discord Developer Portal
  # REQUIRED: Set via DISCORD_TOKEN environment variable
  token: null

  # Command prefix for text commands (if needed)
  command_prefix: "/"

  # Bot status message
  status_message: "Listening in voice channels"

  # Auto-join voice channel on bot start (if user is in voice)
  auto_join: false

# ============================================================================
# Agent Configuration
# ============================================================================
agents:
  # Default agent (jarvis or sage)
  default: "jarvis"

  # Per-agent settings
  jarvis:
    # TTS voice reference file (relative to server/voices/)
    voice_file: "jarvis.mp3"

    # Agent personality for LLM context
    personality: |
      You are Jarvis, an intelligent, witty, and helpful AI assistant.
      You speak naturally and conversationally, with subtle British sophistication.
      You provide accurate information and thoughtful insights without being
      verbose. You have a dry sense of humor but know when to be serious.

    # TTS emotion exaggeration (0.0 = none, 1.0 = full)
    emotion_exaggeration: 0.3

  sage:
    voice_file: "sage.wav"
    personality: |
      You are Sage, a wise, calm, and philosophical AI assistant.
      You speak thoughtfully and deliberately, offering deep insights and
      perspectives. You are patient, empathetic, and help people think through
      complex problems. Your tone is warm and encouraging.
    emotion_exaggeration: 0.2

# ============================================================================
# OpenClaw Gateway
# ============================================================================
openclaw:
  # WebSocket URL for OpenClaw Gateway
  # REQUIRED: Set via OPENCLAW_BASE_URL environment variable
  # Format: ws://IP:PORT (default port: 18789)
  base_url: null

  # Authentication token
  # REQUIRED: Set via OPENCLAW_AUTH_TOKEN environment variable
  token: null

  # Request timeout (seconds)
  timeout: 8.0

  # Retry timeout (seconds)
  retry_timeout: 15.0

  # Retry attempts on failure
  max_retries: 1

  # Model/agent selection
  model: "claude-sonnet-4"

  # Agent ID for session keys
  agent_id: "jarvis"

  # Session scope: per-peer or shared
  session_scope: "per-peer"

# ============================================================================
# Pipeline Configuration
# ============================================================================
pipeline:
  # Voice Activity Detection (Silero VAD)
  vad:
    # Silence duration to consider speech ended (seconds)
    silence_threshold: 0.3

    # Minimum speech duration to process (seconds)
    min_speech_duration: 0.5

    # VAD confidence threshold (0.0-1.0)
    speech_threshold: 0.5

  # Smart Turn v3 Configuration
  turn_detection:
    # Turn completion confidence threshold (0.0-1.0)
    # Higher = more certain turn is complete before proceeding
    threshold: 0.7

    # Maximum wait time after silence before forcing completion (seconds)
    max_wait: 3.0

    # Model path (relative to models/ directory)
    # Using v3.2 GPU model for best performance with RTX 5090
    model_path: "smart-turn-v3.2-gpu.onnx"

  # Speech-to-Text
  stt:
    # Provider: "deepgram" (cloud, no GPU) or "local" (faster-whisper, requires GPU)
    provider: "deepgram"

    # Deepgram settings (used when provider is "deepgram")
    model: "nova-3"
    language: "en"

    # Local faster-whisper settings (used when provider is "local")
    model_size: "small"
    device: "cuda"
    compute_type: "float16"
    beam_size: 1

    # Language hint (null = auto-detect)
    language: "en"

    # VAD filter (use built-in VAD in whisper)
    vad_filter: false

  # Relevance Filter
  relevance:
    # Default sensitivity: low, medium, high
    default_sensitivity: "medium"

    # Sensitivity thresholds (LLM confidence 0.0-1.0)
    thresholds:
      low: 1.0      # Only fast path (name mentions)
      medium: 0.75  # Fast path + LLM with 75% confidence
      high: 0.5     # Fast path + LLM with 50% confidence

    # LLM for classification (if not using OpenClaw)
    # Can be: openai, anthropic, local, openclaw
    classifier: "openclaw"

    # Classification timeout (seconds)
    timeout: 2.0

    # Cache classifications (avoid re-classifying similar utterances)
    enable_cache: true
    cache_ttl: 300  # seconds

  # Transcript Management
  transcript:
    # Rolling window duration (seconds)
    window_duration: 90

    # Maximum number of turns to keep
    max_turns: 20

    # Timezone for timestamp display
    timezone: "America/Los_Angeles"

  # Text-to-Speech
  tts:
    # Provider: "venice" (cloud, no GPU) or "local" (chatterbox, requires GPU)
    provider: "venice"

    # Venice settings (used when provider is "venice")
    venice:
      voice: "am_liam"
      base_url: "https://api.venice.ai/api/v1"
      # API key from env: VENICE_API_KEY

    # Local settings (used when provider is "local")
    engine: "chatterbox"
    device: "cuda"

    # Streaming: generate and play audio in chunks
    streaming: true

    # Chunk duration for streaming (seconds)
    chunk_duration: 0.5

    # Voice cloning settings (for Coqui XTTS)
    coqui:
      model_name: "tts_models/multilingual/multi-dataset/xtts_v2"
      language: "en"
      temperature: 0.75
      length_penalty: 1.0
      repetition_penalty: 5.0
      top_k: 50
      top_p: 0.85

  # Audio Buffering
  audio:
    # Buffer duration per user (seconds)
    buffer_duration: 10.0

    # Sample rate for processing (Hz)
    processing_sample_rate: 16000

    # Discord audio sample rate (Hz)
    discord_sample_rate: 48000

# ============================================================================
# FastAPI Server
# ============================================================================
server:
  # Server host
  host: "0.0.0.0"

  # Server port
  port: 8880

  # Enable TTS endpoint
  enable_tts: true

  # Enable STT endpoint
  enable_stt: true

  # API key for authentication (optional)
  # Set via SERVER_API_KEY environment variable
  api_key: null

  # CORS settings
  cors:
    enabled: true
    allowed_origins: ["*"]
    allowed_methods: ["*"]
    allowed_headers: ["*"]

# ============================================================================
# Logging
# ============================================================================
logging:
  # Log level: DEBUG, INFO, WARNING, ERROR, CRITICAL
  level: "INFO"

  # Log format
  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"

  # Enable latency tracking
  track_latency: true

  # Per-module log levels (override global level)
  modules:
    discord_bot: "INFO"
    pipeline: "INFO"
    server: "INFO"
    openclaw_client: "DEBUG"

  # Log file (optional, null = console only)
  file: null

  # Rotate logs
  rotation:
    enabled: false
    max_bytes: 10485760  # 10MB
    backup_count: 5