■ FewShotPromptTemplate 클래스의 생성자에서 example_selector 인자를 사용해 커스텀 예제 선택기를 설정하는 방법을 보여준다.
▶ main.py
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from langchain_core.example_selectors.base import BaseExampleSelector from langchain_core.prompts.prompt import PromptTemplate from langchain_core.prompts.few_shot import FewShotPromptTemplate class CustomExampleSelector(BaseExampleSelector): def __init__(self, exampleDictionaryList): self.exampleDictionaryList = exampleDictionaryList def add_example(self, exampleDictionary): self.exampleDictionaryList.append(exampleDictionary) def select_examples(self, inputVariableDictionary): newWord = inputVariableDictionary["input"] newWordLength = len(newWord) bestMatchingExampleDictionary = None smallestDifference = float("inf") for exampleDictionary in self.exampleDictionaryList: currentDifference = abs(len(exampleDictionary["input"]) - newWordLength) if currentDifference < smallestDifference: smallestDifference = currentDifference bestMatchingExampleDictionary = exampleDictionary return [bestMatchingExampleDictionary] exampleDictionaryList = [ {"input" : "hi" , "output" : "ciao" }, {"input" : "bye" , "output" : "arrivederci"}, {"input" : "soccer", "output" : "calcio" } ] customExampleSelector = CustomExampleSelector(exampleDictionaryList) promptTemplate = PromptTemplate.from_template("Input : {input} -> Output : {output}") fewShotPromptTemplate = FewShotPromptTemplate( example_selector = customExampleSelector, example_prompt = promptTemplate, prefix = "Translate the following words from English to Italian:", suffix = "Input : {input} -> Output :", input_variables = ["input"] ) templateString = fewShotPromptTemplate.format(input = "word") print(type(templateString)) """ Translate the following words from English to Italian: Input : bye -> Output : arrivederci Input : word -> Output : """ |
▶ requirements.txt
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aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 frozenlist==1.4.1 greenlet==3.0.3 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.5 langchain-core==0.2.9 langchain-text-splitters==0.2.1 langsmith==0.1.81 multidict==6.0.5 numpy==1.26.4 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 requests==2.32.3 SQLAlchemy==2.0.31 tenacity==8.4.1 typing_extensions==4.12.2 urllib3==2.2.2 yarl==1.9.4 |
※ pip install langchain 명령을 실행했다.