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							33 lines
						
					
					
						
							750 B
						
					
					
				
			
		
		
	
	
							33 lines
						
					
					
						
							750 B
						
					
					
				| from swarms import Agent, llama3Hosted
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| from swarms.structs.swarm_load_balancer import AgentLoadBalancer
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| 
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| # Initialize the language model agent (e.g., GPT-3)
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| llm = llama3Hosted()
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| 
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| # Initialize agents for individual tasks
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| agent1 = Agent(
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|     agent_name="Blog generator",
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|     system_prompt="Generate a blog post like stephen king",
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|     llm=llm,
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|     max_loops=1,
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|     dashboard=False,
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| )
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| agent2 = Agent(
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|     agent_name="Summarizer",
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|     system_prompt="Sumamrize the blog post",
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|     llm=llm,
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|     max_loops=1,
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|     dashboard=False,
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| )
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| 
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| # Create the Sequential workflow
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| workflow = AgentLoadBalancer(
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|     agents=[agent1, agent2],
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|     max_loops=1,
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| )
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| 
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| # Run the workflow
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| workflow.run(
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|     "Generate a blog post on how swarms of agents can help businesses grow."
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| )
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