LangGraph Chatbot

A simple conversational AI chatbot built with LangGraph, LangChain, and Claude AI model from Anthropic.

Overview

This project implements a basic chatbot using LangGraph for workflow management and the Claude 3.5 Sonnet model from Anthropic as the language model. The chatbot processes user input and generates conversational responses in a streaming manner.

Features

• Simple and straightforward chat interface
• State management with LangGraph
• Integration with Claude 3.5 Sonnet
• Optional LangSmith tracing for monitoring and debugging

Prerequisites

• Python 3.8+
• An Anthropic API key
• (Optional) A LangSmith API key for tracing

Installation

1. Clone this repository:

git clone https://github.com/yourusername/langgraph-chatbot.git
cd langgraph-chatbot

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables (or you will be prompted for them when running):

export ANTHROPIC_API_KEY="your_anthropic_api_key"
export LANGCHAIN_API_KEY="your_langsmith_api_key"  # Optional
export LANGCHAIN_TRACING_V2="true"  # Optional
export LANGCHAIN_PROJECT="CourseLanggraph"  # Optional

Usage

Run the chatbot:

python app.py

Type your messages at the prompt. Type "quit" or "q" to exit the conversation.

Project Structure

• app.py: Main application file containing the chatbot implementation
• requirements.txt: List of required Python packages
• README.md: This documentation file

Extending the Chatbot

To extend this chatbot with additional functionality:

1. Modify the State class to include additional state information
2. Add new nodes to the graph for different processing steps
3. Update the graph's edges to represent the new workflow

Credits

Based on LangGraph tutorial: https://www.youtube.com/watch?v=gqvFmK7LpDo

License

MIT