자기 성찰을 이해하기 위한 간단한 코드(에이전트 디자인 패턴)

반성/자기성찰이 좀 과소평가됐네요. 귀하의 응용 프로그램이 프롬프트에 의존하는 경우 이 개념을 살펴보는 것이 좋습니다. 구현하는 것은 어렵지 않으며 반사 기법은 LLM 응답을 반복적으로 개선하는 데 도움이 될 수 있습니다.

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. \n story: {story} \n 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)

위 내용은 자기 성찰을 이해하기 위한 간단한 코드(에이전트 디자인 패턴)의 상세 내용입니다. 자세한 내용은 PHP 중국어 웹사이트의 기타 관련 기사를 참조하세요!