mcp-bbs

# AI Strategy Configuration with Ollama
#
# This example demonstrates using the AI strategy with a local Ollama instance.
# The AI will make trading decisions using LLM reasoning, with fallback to
# opportunistic strategy on failures.

connection:
  host: localhost
  port: 2002
  game_password: game

character:
  password: trade123
  name_complexity: medium
  generate_ship_names: true

trading:
  strategy: ai_strategy

  ai_strategy:
    # Enable AI decision-making
    enabled: true

    # Fallback configuration
    fallback_strategy: opportunistic  # Strategy to use when LLM fails
    fallback_threshold: 3             # Consecutive failures before fallback
    fallback_duration_turns: 10       # Turns to stay in fallback mode

    # Prompt configuration
    context_mode: summary             # full | summary
    sector_radius: 3                  # Adjacent sectors to include
    include_history: true
    max_history_items: 5

    # Performance
    timeout_ms: 30000                 # LLM request timeout
    cache_decisions: false

    # Learning
    record_history: true

# LLM Provider Configuration
llm:
  provider: ollama

  ollama:
    base_url: http://localhost:11434
    model: gemma3                     # default model
    timeout_seconds: 30.0
    max_retries: 3
    retry_delay_seconds: 1.0
    retry_backoff_multiplier: 2.0

# Standard bot settings
banking:
  enabled: true
  deposit_threshold: 50000
  keep_on_hand: 5000

upgrades:
  enabled: true
  auto_buy_holds: true
  max_holds: 75
  auto_buy_fighters: true
  min_fighters: 50
  auto_buy_shields: true
  min_shields: 100

combat:
  enabled: true
  avoid_hostile_sectors: true
  danger_threshold: 100
  retreat_health_percent: 25

session:
  target_credits: 5000000
  max_turns_per_session: 500