from swarms.structs.agent import Agent from swarms.structs.multi_agent_router import MultiAgentRouter # Example usage: agents = [ Agent( agent_name="ResearchAgent", agent_description="Specializes in researching topics and providing detailed, factual information", system_prompt="You are a research specialist. Provide detailed, well-researched information about any topic, citing sources when possible.", ), Agent( agent_name="CodeExpertAgent", agent_description="Expert in writing, reviewing, and explaining code across multiple programming languages", system_prompt="You are a coding expert. Write, review, and explain code with a focus on best practices and clean code principles.", ), Agent( agent_name="WritingAgent", agent_description="Skilled in creative and technical writing, content creation, and editing", system_prompt="You are a writing specialist. Create, edit, and improve written content while maintaining appropriate tone and style.", ), ] # Initialize routers with different configurations router_execute = MultiAgentRouter( agents=agents, temperature=0.5, model="claude-sonnet-4-20250514" ) # Example task: Remake the Fibonacci task task = "Use all the agents available to you to remake the Fibonacci function in Python, providing both an explanation and code." result_execute = router_execute.run(task) print(result_execute)