# Experience Learning Configuration for GAIA

# Learning Mode Settings
learning:
  enabled: true  # Enable learning from successful trajectories
  summarizer:
    model: "gpt-5.6-luna"  # Model for summarizing trajectories
    temperature: 0.3  # Lower temperature for consistent summaries
    max_trajectory_steps: 100  # Maximum steps to include in summary
  
  # Experience storage
  storage:
    path: "./learned_experiences.json"
    max_experiences: 1000  # Maximum experiences to store
    auto_save: true  # Auto-save after each new experience

# Knowledge Base Settings
knowledge_base:
  enabled: true  # Enable knowledge base for retrieval
  preload_validation: true  # Preload gaia-validation.jsonl on startup
  
  # Index settings
  index:
    path: "./kb_index"
    embedding_model: "all-MiniLM-L6-v2"  # Sentence transformer model
    embedding_dim: 384  # Dimension of embeddings
    
  # Search settings
  search:
    top_k: 3  # Number of similar experiences to retrieve
    min_similarity: 0.3  # Minimum similarity threshold
    use_semantic: true  # Use semantic search (vs keyword only)

# Experience Application Settings
application:
  enabled: true  # Apply experiences to new tasks
  
  # How to incorporate experiences
  strategy: "prompt_enhancement"  # Options: prompt_enhancement, context_injection
  
  # Prompt enhancement settings
  prompt:
    max_experiences: 5  # Maximum experiences to include in prompt
    format: "detailed"  # Options: detailed, summary, minimal
    
  # Experience filtering
  filtering:
    by_level: true  # Filter experiences by difficulty level
    by_tools: true  # Filter by similar tools required
    recency_bias: 0.1  # Weight recent experiences higher (0-1)

# GAIA Dataset Settings
dataset:
  validation_file: "gaia-validation.jsonl"
  dataset_path: "./AWorld/examples/gaia/GAIA"
  
  # Processing settings
  batch_size: 10  # Process questions in batches
  timeout: 300  # Timeout per question (seconds)
  
  # Evaluation settings
  evaluation:
    strict_matching: false  # Use strict answer matching
    case_sensitive: false  # Case-sensitive comparison
    
# Agent Settings
agent:
  name: "gaia_experience_agent"
  
  # LLM settings (can be overridden by environment variables)
  llm:
    provider: "openai"  # Default provider
    model: "gpt-5.6-luna"  # Default model
    temperature: 0.0  # Temperature for task execution
    max_tokens: 4096  # Maximum tokens per response
    
  # Tool settings
  tools:
    enable_all: true  # Enable all available tools
    timeout: 60  # Tool execution timeout (seconds)
    
  # Memory settings
  memory:
    short_term_capacity: 20  # Short-term memory capacity
    enable_long_term: true  # Enable long-term memory

# Logging Settings
logging:
  level: "INFO"  # Logging level: DEBUG, INFO, WARNING, ERROR
  file: "./logs/experience_agent.log"
  
  # Detailed logging options
  log_trajectories: true  # Log full trajectories
  log_summaries: true  # Log generated summaries
  log_retrieval: true  # Log retrieval results
  
# Experimental Features
experimental:
  # Multi-agent collaboration
  multi_agent:
    enabled: false  # Enable multi-agent mode
    share_experiences: false  # Share experiences between agents
    
  # Active learning
  active_learning:
    enabled: false  # Request human feedback on uncertain cases
    uncertainty_threshold: 0.3  # Threshold for requesting feedback
    
  # Experience evolution
  evolution:
    enabled: false  # Allow experiences to evolve over time
    merge_similar: false  # Merge similar experiences
    prune_outdated: false  # Remove outdated experiences
    
# Performance Optimization
optimization:
  # Caching
  cache:
    enabled: true  # Enable caching
    embeddings: true  # Cache embeddings
    llm_responses: false  # Cache LLM responses
    
  # Parallel processing
  parallel:
    enabled: false  # Enable parallel processing
    max_workers: 4  # Maximum parallel workers
    
  # Resource limits
  limits:
    max_memory_gb: 8  # Maximum memory usage
    max_cpu_percent: 80  # Maximum CPU usage