In language models, the raw output is often just the beginning. While these outputs provide valuable insights, they often need to be structured, formatted, or parsed to be useful in real-world applications. Enter LangChain’s output parsers — a powerful toolset to transform raw text into...
而这三部分分别对应LangChain中最基础也是最重要的三个概念 今天我们要介绍的是输出部分,也就是输出解析器(Output Parsers)。 简介 LLM的输出为文本,但在程序中除了显示文本,可能希望获得更结构化的数据。这就是输出解析器(Output Parsers)的用武之地。 LangChain为输出解析器提供了基础类BaseOutputParser。不同的输...
当然也可以直接食用大佬翻译好的中英文字幕:leason-wan/LangChain-for-LLM-Application-Development-in-Chinese: 吴恩达 LangChain 课程中英双语字幕 (github.com)(不完美但是比没有强) 正式开始 没有你就安装 !pip install python-dotenv !pip install openai 然后就引入一些基本的库和API import os import openai ...
编写代码 fromlangchain_core.output_parsersimportJsonOutputParserfromlangchain_openai.chat_modelsimportChatOpenAIasyncdefmain():model=ChatOpenAI(model="gpt-3.5-turbo",)chain=(model|JsonOutputParser())# Due to a bug in older versions of Langchain, JsonOutputParser did not stream results from some ...
from langchain_core.output_parsers import JsonOutputParserfrom langchain_openai.chat_models import ChatOpenAIasync def main():model = ChatOpenAI(model="gpt-3.5-turbo",)chain = (model | JsonOutputParser()) # Due to a bug in older versions of Langchain, JsonOutputParser did not stream result...
fromlangchain_core.output_parsersimportBaseOutputParser # The [bool] desribes a parameterization of a generic. # It's basically indicating what the return type of parse is # in this case the return type is either True or False classBooleanOutputParser(BaseOutputParser[bool]): ...
from langchain_core.output_parsers import JsonOutputParser from langchain_openai.chat_models import ChatOpenAI async def main(): model = ChatOpenAI( model="gpt-3.5-turbo", ) chain = ( model | JsonOutputParser() ) # Due to a bug in older versions of Langchain, JsonOutputParser did not...
#从langchain库导入所需的模块fromlangchain.chat_modelsimportChatOpenAIfromlangchain.output_parsersimportOutputFixingParser# 设置OpenAI API密钥importos os.environ["OPENAI_API_KEY"]='你的OpenAI API Key'# 使用OutputFixingParser创建一个新的解析器,该解析器能够纠正格式不正确的输出new_parser=OutputFixingParse...
今天，我们将聚焦于输出解析器（Output Parsers）。在 LLM 的输出为文本的情况下，为了在程序中获取更结构化的数据，输出解析器便显得至关重要。LangChain 为输出解析器提供了基础类 BaseOutputParser，所有解析器都继承自该类。它们需要实现两个函数：BaseOutputParser 以及 parse_with_prompt。为了满足不...
docs/snippets/modules/model_io/output_parsers/structured.mdx docs/extras/modules/chains/popular/openai_functions.ipynb docs/extras/modules/chains/additional/openai_functions_retrieval_qa.ipynb langchain/chains/openai_functions/qa_with_structure.py langchain/chains/openai_functions/base.py This response is...