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AI LLM Agent System

The AI LLM Agent System is a comprehensive system designed to automate various aspects of a learning bootcamp, including content delivery, interaction, assignments, and feedback. This system leverages the power of AI and machine learning to provide personalized, efficient, and effective learning experiences. This project is a work in progress and much of the functionality still needs to be developed.

Table of Contents

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

  • Python 3.8 or later
  • Discord
  • Google Docs
  • Replit
  • Grafana

Installation

  1. Clone the repository:

  2. Install the necessary Python libraries: pip install -r requirements.txt

Technologies Used

  • Discord: For interaction and communication.
  • Google Docs: For content delivery.
  • Replit: For coding assignments and collaboration.
  • Grafana: For metrics visualization.
  • Celery: For task routing.

Agents

  • Routing Agent
  • Content Delivery Agent
  • Interaction Agent
  • Assignment Feedback Agent
  • Metrics Agent

Each agent's functionalities are defined in their respective Python scripts in the agents/ directory.

Running the Tests

To run the tests, navigate to the tests/ directory and execute the test scripts:

python test_discord_bot.py python test_agents.py

Contributing

Contributions are welcome!

License

This project is licensed under the MIT License.

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