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# test_reflection_agent.py
from dotenv import load_dotenv
from hello_agents import HelloAgentsLLM
from my_reflection_agent import MyReflectionAgent
load_dotenv ( )
llm = HelloAgentsLLM ( )
# 使用默认通用提示词
general_agent = MyReflectionAgent ( name = " 我的反思助手 " , llm = llm )
# 使用自定义代码生成提示词（类似第四章）
code_prompts = {
" initial " : " 你是Python专家， ： {task} " ,
" reflect " : " 请审查代码的算法效率： \n 任务： {task} \n 代码： {content} " ,
" refine " : " 请根据反馈优化代码： \n 任务： {task} \n 反馈： {feedback} "
}
code_agent = MyReflectionAgent (
name = " 我的代码生成助手 " ,
llm = llm ,
custom_prompts = code_prompts
)
# 测试使用
result = general_agent . run ( " 写一篇关于人工智能发展历程的简短文章 " )
print ( f " 最终结果: { result } " )