Multi-Agent Chatbot with Groq API

This project implements a multi-agent chatbot using the Groq API and Flask, allowing each agent to have specific training data and behavior. You can interact with the chatbot via POST requests for both chatting and training.

Features

• Two pre-configured agents (Agent1 and Agent2).
• Support for custom agent-specific training.
• Easy-to-use RESTful API for interaction.

Requirements

• Python 3.8+
• A valid API Key from Groq (set in .env file).

Setup Instructions

1. Clone this repository:

   git clone https://github.com/yourusername/your-repo-name.git
   cd your-repo-name
   

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate   # Linux/MacOS
   venv\Scripts\activate      # Windows
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Create a .env file in the root directory:

   GROQ_API_KEY=your_api_key_here
   

5. Run the application:

   python app.py
   

6. Access the API locally at http://127.0.0.1:5000.

API Endpoints

1. Chat with an agent

   POST /chat/<agent_name>

• request Body:

  {
  "user_input": "hello!, i would like to know where you from"
  }
  

• response:

  {
   "response": "Hello! Welcome to Z! I'm happy to help you with that.."
  }
  

2. Train an agent

   POST /train/<agent_name>

• request Body:

  {
  "content": "You are Mario from Super Mario Bros. Answer as Mario, the assistant, only."
  }
  

• response:

  {
   "message": "Training updated successfully!"
  }
  

Noter

• Modify training/ files for persistent updates to agent training.
• Ensure your .env file is never should be shared for security purposes.

License

• This project is licensed under the MIT License.