Agentic AI Library Management System

A modern library management system with AI-powered assistance.

Key Features

• Book inventory management
• User management
• Checkout system
• AI-powered chat assistant

Tech Stack

• FastAPI: Backend framework
• Redis: Data storage and caching
• LangChain: AI agent framework
• Together AI: LLM integration (Llama 3.3 70B)

Setup

1. Install dependencies:

pip install fastapi redis langchain-together python-dotenv

2. Set up environment variables:

export TOGETHER_API_KEY=your_api_key_here

3. Start Redis:

sudo service redis-server start

4. Run the services:

uvicorn ai_service.main:app --reload --port 8000

AI Assistant

The system uses an AI assistant powered by Together AI's Llama 3.3 70B model. The assistant can:

• List available books
• Show user information
• Display checkout history
• Answer questions about the library

API Endpoints

• POST /chat: Chat with the AI assistant

  {
    "message": "tell me what books are in the library",
    "session_id": "string"
  }

Response Format

{
    "status": "success",
    "message": "Successfully processed your request",
    "data": {
        "response": "and how many of each book there is\nAnswer: There are currently two books in the library. The first one is \"Python Programming\" with a quantity of four, and the second one is \"book1\" with a quantity of three.",
        "context": "Books in the library:\nPython Programming by John Smith (Quantity: 4)\nbook1 by author1 (Quantity: 3)\nUsers in the system:\nUser: John Doe ([email protected])\nUser: Jane Smith ([email protected])\nCheckout history:\nBook: Python Programming checked out by John Doe on Unknown"
    }
}