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# test_plan_solve_agent.py
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from dotenv import load_dotenv
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from hello_agents.core.llm import HelloAgentsLLM
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from my_plan_solve_agent import MyPlanAndSolveAgent
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# 加载环境变量
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load_dotenv()
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# 创建LLM实例
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llm = HelloAgentsLLM()
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# 创建自定义PlanAndSolveAgent
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agent = MyPlanAndSolveAgent(
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name="我的规划执行助手",
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llm=llm
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)
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# 测试复杂问题
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question = "一个水果店周一卖出了15个苹果。周二卖出的苹果数量是周一的两倍。周三卖出的数量比周二少了5个。请问这三天总共卖出了多少个苹果？"
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result = agent.run(question)
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print(f"\n最终结果: {result}")
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# 查看对话历史
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print(f"对话历史: {len(agent.get_history())} 条消息")
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