# MeshAI Configuration
# LLM-powered Meshtastic assistant
#
# Copy this to config.yaml and customize as needed
# For Docker: mount as /data/config.yaml

# === BOT IDENTITY ===
bot:
  name: ai                       # Bot's display name
  owner: ""                      # Owner's callsign (optional)
  respond_to_dms: true           # Respond to direct messages
  filter_bbs_protocols: true     # Ignore advBBS sync/notification messages

# === MESHTASTIC CONNECTION ===
connection:
  type: tcp                      # serial | tcp
  serial_port: /dev/ttyUSB0      # For serial connection
  tcp_host: localhost            # For TCP connection (meshtasticd)
  tcp_port: 4403

# === RESPONSE BEHAVIOR ===
response:
  delay_min: 2.2                 # Min delay before responding (seconds)
  delay_max: 3.0                 # Max delay before responding
  max_length: 200                # Max chars per message chunk
  max_messages: 3                # Max message chunks per response

# === CONVERSATION HISTORY ===
history:
  database: /data/conversations.db
  max_messages_per_user: 50      # Messages to keep per user
  conversation_timeout: 86400    # Conversation expiry (seconds, 86400=24h)
  auto_cleanup: true             # Auto-delete old conversations
  cleanup_interval_hours: 24     # How often to run cleanup
  max_age_days: 30               # Delete conversations older than this

# === MEMORY OPTIMIZATION ===
memory:
  enabled: true                  # Enable rolling summary memory
  window_size: 4                 # Recent message pairs to keep in full
  summarize_threshold: 8         # Messages before re-summarizing

# === MESH CONTEXT ===
context:
  enabled: true                  # Observe channel traffic for LLM context
  observe_channels: []           # Channel indices to observe (empty = all)
  ignore_nodes: []               # Node IDs to exclude from observation
  max_age: 2592000               # Max age in seconds (default 30 days)
  max_context_items: 20          # Max observations injected into LLM context

# === LLM BACKEND ===
llm:
  backend: openai                # openai | anthropic | google
  api_key: ""                    # API key (or use LLM_API_KEY env var)
  base_url: https://api.openai.com/v1  # API base URL
  model: gpt-4o-mini             # Model name
  timeout: 30                    # Request timeout (seconds)
  system_prompt: >-
    You are a helpful assistant on a Meshtastic mesh network.
    Keep responses very brief - 1-2 short sentences, under 300 characters.
    Only give longer answers if the user explicitly asks for detail or explanation.
    Be concise but friendly. No markdown formatting.
  google_grounding: false        # Enable Google Search grounding (Gemini only, $35/1k queries)

# === WEATHER ===
weather:
  primary: openmeteo             # openmeteo | wttr | llm
  fallback: llm                  # openmeteo | wttr | llm | none
  default_location: ""           # Default location for !weather (optional)

# === MESHMONITOR INTEGRATION ===
meshmonitor:
  enabled: false                 # Enable MeshMonitor trigger sync
  url: ""                        # MeshMonitor web UI URL (e.g. http://192.168.1.100:3333)
  inject_into_prompt: true       # Include trigger list in LLM prompt
  refresh_interval: 300          # Seconds between trigger refreshes

# === KNOWLEDGE BASE (RAG) ===
knowledge:
  enabled: false                 # Enable knowledge base search
  db_path: ""                    # Path to knowledge SQLite database
  top_k: 5                       # Number of chunks to retrieve per query

# === MESH DATA SOURCES ===
# Connect to Meshview and/or MeshMonitor instances for live mesh
# network analysis. Supports multiple sources. Configure via TUI
# with meshai --config (Mesh Sources menu).
#
# mesh_sources:
#   - name: "my-meshview"
#     type: meshview
#     url: "https://meshview.example.com"
#     refresh_interval: 300
#     enabled: true
#
#   - name: "my-meshmonitor"
#     type: meshmonitor
#     url: "http://192.168.1.100:3333"
#     api_token: "${MM_API_TOKEN}"
#     refresh_interval: 300
#     enabled: true
mesh_sources: []