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# test_plan_solve_agent.py
from dotenv import load_dotenv
from hello_agents.core.llm import HelloAgentsLLM
from my_plan_solve_agent import MyPlanAndSolveAgent
# 加载环境变量
load_dotenv()
# 创建LLM实例
llm = HelloAgentsLLM()
# 创建自定义PlanAndSolveAgent
agent = MyPlanAndSolveAgent(
name="我的规划执行助手",
llm=llm
)
# 测试复杂问题
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？"
result = agent.run(question)
print(f"\n最终结果: {result}")
# 查看对话历史
print(f"对话历史: {len(agent.get_history())} 条消息")