LangChain Agent Interface

A powerful interface that combines LangChain, MCP (Model Control Protocol), and Gradio to create an interactive agent system.

Features

• Interactive Gradio-based web interface
• Integration with LangChain for agent creation
• Uses Groq's Llama 3.1 8B model for responses
• MCP (Model Control Protocol) integration for enhanced capabilities
• Asynchronous operation for better performance

Prerequisites

• Python 3.x
• Required Python packages (install via pip):
  • gradio
  • langchain-groq
  • langchain-mcp-adapters
  • langgraph
  • python-dotenv

Setup

1. Clone this repository
2. Install the required dependencies:

   uv pip install -r requirements.txt
   

3. Create a .env file in the project root and add your Groq API key:

   GITHUB_TOKEN=your_api_Key_here
   GROQ_API_KEY=your_api_key_here
   

Usage

1. Run the application:

   python client.py
   

2. Open your web browser and navigate to the URL shown in the terminal (typically http://127.0.0.1:7860)
3. Enter your prompt in the text box and click "Run Agent"

Project Structure

• client.py: Main application file containing the Gradio interface and agent setup
• pr_analyzer.py: MCP script for handling agent operations

Note

This project uses the Groq API with the Llama 3.1 8B model. Make sure you have valid API credentials before running the application.