理解自我反思的简单代码（代理设计模式）

from mirascope.core import BaseMessageParam, ResponseModelConfigDict, openai from pydantic import BaseModel import os  os.environ["OPENAI_API_KEY"] = ""   class Review(BaseModel):     issues: list[str]     is_good: bool      model_config = ResponseModelConfigDict(strict=True)   class Story(BaseModel):     story: str      model_config = ResponseModelConfigDict(strict=True)   class StoryWriter(BaseModel):     keywords: list[str]     generator_history: list[openai.OpenAIMessageParam] = []      @openai.call(         "gpt-4o-mini",         response_model=Story,         json_mode=True,         call_params={"temperature": 0.8},     )     def generator(self, query: str) -> list[openai.OpenAIMessageParam]:         return [             BaseMessageParam(                 role="system",                 content="You are an expert in writing short moral stories for kids below the age of 10.",             ),             *self.generator_history,         ]      @openai.call(         "gpt-4o-mini",         response_model=Review,         json_mode=True,         call_params={"temperature": 0.1},     )     def reviewer(self, story: str) -> list[openai.OpenAIMessageParam]:         return [             BaseMessageParam(                 role="system",                 content="You are an expert in reviewing short moral stories for kids below the age of 10, checking whether all the keywords were used effectively and identifying issues related to relevance and ease of understanding",             ),             BaseMessageParam(                 role="user",                 content=f""" Review the given moral story for kids. Check if the story uses all the given keywords. Also check if the story is reasonably realistic, engaging and uses basic vocabulary that is easy to understand for kids below the age of 10. Return the issues. Finally, return True if the moral story is good enough for kids and contains all the keywords.   story: {story}   keywords: {self.keywords}""",             ),         ]      def run(self, steps=3) -> str:         query = f"""Generate a moral story for kids, using all the given keywords. Return only the story. {self.keywords}"""         self.generator_history += [             BaseMessageParam(role="user", content=query),         ]         story = ""         for _ in range(steps):             generator_response = self.generator(query)             story = generator_response.story             reviewer_response = self.reviewer(story)             if reviewer_response.is_good:                 break             query = f"""Use the given feedback to improve the story. Return only the story."""             self.generator_history += [                 BaseMessageParam(role="assistant", content=generator_response.story),                 BaseMessageParam(                     role="user",                     content=" ".join(reviewer_response.issues) + " " + query,                 ),             ]         print(self.generator_history)         return story   story = StoryWriter(     keywords=[         "elephant",         "boy",         "strong",         "funny",         "good",         "ride",         "Nikolas",         "road",         "cap",         "car",     ] ).run() print("==================") print("result", story)