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132 lines
4.0 KiB
YAML
132 lines
4.0 KiB
YAML
# Experience Learning Configuration for GAIA
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# Learning Mode Settings
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learning:
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enabled: true # Enable learning from successful trajectories
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summarizer:
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model: "gpt-5.6-luna" # Model for summarizing trajectories
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temperature: 0.3 # Lower temperature for consistent summaries
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max_trajectory_steps: 100 # Maximum steps to include in summary
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# Experience storage
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storage:
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path: "./learned_experiences.json"
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max_experiences: 1000 # Maximum experiences to store
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auto_save: true # Auto-save after each new experience
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# Knowledge Base Settings
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knowledge_base:
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enabled: true # Enable knowledge base for retrieval
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preload_validation: true # Preload gaia-validation.jsonl on startup
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# Index settings
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index:
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path: "./kb_index"
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embedding_model: "all-MiniLM-L6-v2" # Sentence transformer model
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embedding_dim: 384 # Dimension of embeddings
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# Search settings
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search:
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top_k: 3 # Number of similar experiences to retrieve
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min_similarity: 0.3 # Minimum similarity threshold
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use_semantic: true # Use semantic search (vs keyword only)
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# Experience Application Settings
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application:
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enabled: true # Apply experiences to new tasks
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# How to incorporate experiences
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strategy: "prompt_enhancement" # Options: prompt_enhancement, context_injection
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# Prompt enhancement settings
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prompt:
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max_experiences: 5 # Maximum experiences to include in prompt
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format: "detailed" # Options: detailed, summary, minimal
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# Experience filtering
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filtering:
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by_level: true # Filter experiences by difficulty level
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by_tools: true # Filter by similar tools required
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recency_bias: 0.1 # Weight recent experiences higher (0-1)
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# GAIA Dataset Settings
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dataset:
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validation_file: "gaia-validation.jsonl"
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dataset_path: "./AWorld/examples/gaia/GAIA"
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# Processing settings
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batch_size: 10 # Process questions in batches
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timeout: 300 # Timeout per question (seconds)
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# Evaluation settings
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evaluation:
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strict_matching: false # Use strict answer matching
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case_sensitive: false # Case-sensitive comparison
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# Agent Settings
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agent:
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name: "gaia_experience_agent"
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# LLM settings (can be overridden by environment variables)
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llm:
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provider: "openai" # Default provider
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model: "gpt-5.6-luna" # Default model
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temperature: 0.0 # Temperature for task execution
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max_tokens: 4096 # Maximum tokens per response
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# Tool settings
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tools:
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enable_all: true # Enable all available tools
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timeout: 60 # Tool execution timeout (seconds)
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# Memory settings
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memory:
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short_term_capacity: 20 # Short-term memory capacity
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enable_long_term: true # Enable long-term memory
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# Logging Settings
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logging:
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level: "INFO" # Logging level: DEBUG, INFO, WARNING, ERROR
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file: "./logs/experience_agent.log"
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# Detailed logging options
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log_trajectories: true # Log full trajectories
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log_summaries: true # Log generated summaries
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log_retrieval: true # Log retrieval results
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# Experimental Features
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experimental:
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# Multi-agent collaboration
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multi_agent:
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enabled: false # Enable multi-agent mode
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share_experiences: false # Share experiences between agents
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# Active learning
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active_learning:
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enabled: false # Request human feedback on uncertain cases
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uncertainty_threshold: 0.3 # Threshold for requesting feedback
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# Experience evolution
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evolution:
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enabled: false # Allow experiences to evolve over time
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merge_similar: false # Merge similar experiences
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prune_outdated: false # Remove outdated experiences
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# Performance Optimization
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optimization:
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# Caching
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cache:
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enabled: true # Enable caching
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embeddings: true # Cache embeddings
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llm_responses: false # Cache LLM responses
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# Parallel processing
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parallel:
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enabled: false # Enable parallel processing
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max_workers: 4 # Maximum parallel workers
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# Resource limits
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limits:
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max_memory_gb: 8 # Maximum memory usage
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max_cpu_percent: 80 # Maximum CPU usage
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