fromlangchain_core.runnablesimportRunnablePassthrough, RunnableLambda fromlangchain_core.messagesimportget_buffer_string fromlangchain_core.output_parsersimportStrOutputParser fromoperatorimportitemgetter fromlangchain.memoryimportConversationBufferMemory fromlangchain.prompts.promptimportPromptTemplate fromlangchain.sc...
inspect作用就是获取源代码 def get_source_code(function_name): # Get the source code of the function return inspect.getsource(function_name) # 测试函数 def test(): return 1 + 1 from langchain.prompts import StringPromptTemplate from pydantic import BaseModel, validator # 初始化字符串prompt PRO...
使用LangChain时,按照官方教程,让我们首先定义memory(负责管理聊天记录): # Everything above this line is the same as that of the last task.fromlangchain_core.runnablesimportRunnablePassthrough, RunnableLambdafromlangchain_core.messagesimportget_buffer_strin...
dynamic_prompt=FewShotPromptTemplate(example_selector=example_selector,example_prompt=example_prompt,prefix="Give the antonym of every input",suffix="Word: {input}\nAntonym:",input_variables=["input"],example_separator="\n\n",)longString="big and huge and massive and large and gigantic and ...
\\The action to take.Must be one of {tool_names}"action_input":string\\The input to the action}}}、**Option2: **Use this if you want to respond directly to the human.Markdown code snippet formatted in the following schema:json{{{"action":"Final Answer","action_input":string \You...
const ocrRunnable = RunnableLambda.from(async (imageBuffer: string) => { //模拟OCR处理 return "Extracted text: Invoice for Acme Corp"; }); //步骤2:文件分类 const classifyDocument = RunnableLambda.from(async (text: string) => {
接下来是Python代码，将该文件导入为包含内容和元数据的LangChain文档对象。将为此创建一个名为prep_docs.py的新Python脚本文件。可以像上面那样使用py_run_string()函数在R脚本中继续运行Python代码。然而，如果用户正在处理一个更大的任务，那么就不太理想，因为将会在诸如代码完成之类的事项上面临失败。Python新手的...
如今各类AI模型层出不穷,百花齐放,大佬们开发的速度永远遥遥领先于学习者的学习速度。。为了解放生产力,不让应用层开发人员受限于各语言模型的生产部署中..LangChain横空出世界。
在prompt中有两种类型的模版格式,一是f-string,这是十分常见的一类prompt,二是jinja2。 f-string 是 Python 3.6 以后版本中引入的一种特性,用于在字符串中插入表达式的值。语法简洁,直接利用{}花括号包裹变量或者表达式,即可执行简单的运算,性能较好,但是只限用在py中。
messages import AIMessage, HumanMessage, get_buffer_string from langchain_core.prompts import format_document from langchain_core.runnables import RunnableParallel, RunnablePassthrough, RunnableLambda from langchain_openai.chat_models import ChatOpenAI from langchain_openai import OpenAIEmbeddings from lang...