Build Intelligent Multi-Agent Systems

                        from graphfusionai.agents import AgentBuilder
                        from graphfusionai.agents.base_agent import BaseAgent
                        from graphfusionai.core.graph import GraphNetwork
                        from graphfusionai.core.knowledge_graph import KnowledgeGraph
                        from graphfusionai.llm import create_llm  # Import LLM integration
                        
                        # Initialize core components
                        graph_network = GraphNetwork()
                        knowledge_graph = KnowledgeGraph()
                        
                        # Create an LLM-powered agent
                        agent_builder = AgentBuilder(graph_network, knowledge_graph)
                        
                        # Define agent configuration with LLM
                        agent_config = {
                            "memory": {"input_dim": 256, "memory_dim": 512, "context_dim": 128},
                            "llm": {
                                "provider": "openai",  # Options: "openai", "anthropic", "llama"
                                "model": "gpt-4",
                                "api_key": "your-api-key-here"
                            },
                            "tools": ["search_tool", "medical_diagnosis_tool"]
                        }
                        
                        # Create an agent
                        my_agent = agent_builder.create_agent(BaseAgent, "LLM_Agent", agent_config)
                        
                        # Use the agent with LLM
                        query = "Explain the symptoms of diabetes."
                        response = my_agent.use_llm_for_query(query)
                        print(response)