Multi-Agent Debate System

A Streamlit-based web application that implements a sophisticated multi-agent debate system for processing complex questions through multiple AI agents. The system utilizes both Groq and Google's Gemini AI models to provide comprehensive, well-reasoned responses.

Features

• Interactive web interface built with Streamlit
• Multi-agent debate system with four specialized agents:
  • Proposer: Generates initial comprehensive solutions
  • Critic: Analyzes and identifies potential improvements
  • Refiner: Creates improved solutions based on criticism
  • Synthesizer: Combines all insights into final answers
• Dual LLM integration (Groq and Google Gemini)
• Chat history tracking and persistence
• Responsive and user-friendly UI with custom styling
• Structured agent responses with clear formatting

Prerequisites

• Python 3.x
• Groq API key
• Google Gemini API key

Installation

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

2. Install the required dependencies:

   pip install -r requirements.txt

3. Create a .env file in the project root with your API keys:

   GROQ_API_KEY=your-groq-api-key
   GOOGLE_API_KEY=your-google-api-key

Running the Application

Launch the application using Streamlit:

streamlit run app.py

The application will start and automatically open in your default web browser.

Project Structure

• app.py: Main application file containing the Streamlit interface and agent logic
• requirements.txt: List of Python dependencies
• chat_history.json: Persistent storage for chat history
• .env: Configuration file for API keys

Dependencies

• streamlit==1.31.0
• groq==0.4.2
• google-generativeai==0.3.2
• python-dotenv==1.0.0
• rich==13.7.0

Usage

1. Enter your question in the input field
2. The system will process your question through multiple agents:
   • The Proposer generates an initial solution
   • The Critic analyzes and provides feedback
   • The Refiner improves the solution
   • The Synthesizer creates a final, comprehensive answer
3. View the chat history to see previous discussions and answers