Import langchain In this quickstart we'll show you how to build a simple LLM application with LangChain. langchain: Chains, agents, and retrieval strategies that make up an application's cognitive architecture. This is a relatively simple LLM application - it's just a single LLM call plus some prompting. ” from langchain_anthropic import ChatAnthropic from langchain_core. prompts import PromptTemplate template = '''Answer the following questions as best you can. schema import ( HumanMessage, SystemMessage) chat = ChatOpenAI(openai_api_key = api_key, temperature=0) To create a human or a system message, you need to pass the message text to the content attribute of the HumanMesssage and SystemMessage objects, respectively. import sqlite3 import requests from langchain_community. Users can access the service through REST APIs, Python SDK, or a web import time from langchain_core. runnables import RunnableLambda, RunnableParallel runnable1 = RunnableLambda (lambda x: time. But leveraging their full potential requires integrating them into downstream applications. vbipjzyulbnukuucbwecronopvvriysspnyfgqvnbddohfycbkduiufjkkjoketjvgsrltk