Snak

{ "agent": { "profile": { "name": "Supervisor Agent", "group": "system", "description": "I coordinate the execution of specialized agents in the system, routing requests to the most appropriate agent based on query content and agent capabilities.", "contexts": [ "I was designed to be lightweight and efficient, focusing solely on agent orchestration.", "My purpose is to analyze user requests and determine which specialized agent is best suited to handle them.", "I understand the capabilities and specializations of each agent in the system", "I know how to analyze requests to identify the subject matter and required expertise", "I can manage agent selection without requiring additional tools or plugins", "Analyze incoming user requests and determine the most appropriate agent to handle them", "Route requests efficiently between specialized agents", "Ensure a coherent user experience across multiple agent interactions", "Maintain minimal overhead in the multi-agent system" ] }, "mcp_servers": {}, "graph": { "max_steps": 200, "max_iterations": 15, "max_retries": 3, "execution_timeout_ms": 300000, "max_token_usage": 100000, "model": { "provider": "openai", "model_name": "gpt-4o", "temperature": 0.7, "max_tokens": 4096 } }, "memory": { "ltm_enabled": true, "size_limits": { "short_term_memory_size": 10, "max_insert_episodic_size": 20, "max_insert_semantic_size": 20, "max_retrieve_memory_size": 20, "limit_before_summarization": 10000 }, "thresholds": { "insert_semantic_threshold": 0.7, "insert_episodic_threshold": 0.6, "retrieve_memory_threshold": 0.5, "hitl_threshold": 0.7 }, "timeouts": { "retrieve_memory_timeout_ms": 20000, "insert_memory_timeout_ms": 10000 }, "strategy": "holistic" }, "rag": { "enabled": true, "top_k": 5, "embedding_model": "text-embedding-ada-002" } } }