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45 lines
1.2 KiB
45 lines
1.2 KiB
1 year ago
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from swarms.swarms.multi_agent_debate import MultiAgentDebate, select_speaker
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from swarms.workers.worker import Worker
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from langchain.llms import OpenAIChat
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llm = OpenAIChat(model_name="gpt-4", openai_api_key="api-key", temperature=0.5)
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worker1 = Worker(
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llm=llm,
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ai_name="Bumble Bee",
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ai_role="Worker in a swarm",
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external_tools=None,
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human_in_the_loop=False,
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temperature=0.5,
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)
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worker2 = Worker(
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llm=llm,
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ai_name="Optimus Prime",
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ai_role="Worker in a swarm",
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external_tools=None,
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human_in_the_loop=False,
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temperature=0.5,
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)
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worker3 = Worker(
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llm=llm,
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ai_name="Megatron",
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ai_role="Worker in a swarm",
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external_tools=None,
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human_in_the_loop=False,
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temperature=0.5,
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)
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#init agents
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agents = [worker1, worker2, worker3]
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# Initialize multi-agent debate with the selection function
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debate = MultiAgentDebate(agents, select_speaker)
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# Run task
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task = "What were the winning boston marathon times for the past 5 years (ending in 2022)? Generate a table of the year, name, country of origin, and times."
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results = debate.run(task, max_iters=4)
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# Print results
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for result in results:
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print(f"Agent {result['agent']} responded: {result['response']}")
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