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langgraph-example

README.md

LangGraph example

This repository contains examples demonstrating the integration of LangChain and LangGraph for building advanced language models and graph-based workflows.

Setup

Before running the examples, make sure you have the necessary dependencies installed and environment variables set up.

Dependencies

Install the required packages:

pip install langchain langgraph

Environment Variables

Set up the following environment variables:

  • OPENAI_API_KEY: Your OpenAI API key
  • LITERALAI_API_KEY: Your Literal AI API key
  • TAVILY_API_KEY: Your Tavily API key (optional for multi-agent example)

Run the examples

You can execute the langgraph-example.py file to see the working example by running:

python3 langgraph-example.py

It is also possible to run the example in the LangGraph integration notebook, to get a step by step explanation of the Literal AI's integration in the LangGraph workflow.