Tutor Agent is an AI-powered educational assistant that leverages a multi-agent along with multi turn architecture to provide specialized tutoring in mathematics and physics (with extensibility for more domains). It uses Google's Gemini API for LLM-powered reasoning, and routes student queries to the most appropriate specialist agent, which can use

Tutor Agent: Multi-Agent AI Tutoring System

Table of Contents

1. Project Overview
2. Live Demo
3. Screenshot
4. Key Features
5. Architecture
6. Directory Structure & Index
7. Setup & Installation
8. Configuration & Environment
9. Usage Guide
10. Development Playbook
11. Deployment
12. Best Practices
13. Contributing
14. FAQ
15. Challenges & Solutions
16. References & Further Reading

Project Overview

Tutor Agent is an AI-powered educational assistant that leverages a multi-agent along with multi turn architecture to provide specialized tutoring in mathematics and physics (with extensibility for more domains). It uses Google's Gemini API for LLM-powered reasoning, and routes student queries to the most appropriate specialist agent, which can use tools like calculators and knowledge bases to generate comprehensive, step-by-step answers.

Key Features

Smart Routing

• Automatic subject detection
• Context-aware agent selection
• Seamless agent switching when needed
• Multi-agent collaboration for complex queries

Specialist Agents

• Math Agent for mathematical problems
• Physics Agent for physics concepts
• Extensible architecture for new domains
• Tool-equipped agents for specialized tasks

Multi-Turn Conversations

• Maintains context across multiple interactions
• Builds on previous questions and answers
• Allows follow-up questions and clarifications
• Persistent conversation history with MongoDB

Rate Limiting

• Protects API endpoints from abuse
• Configurable limits per user/IP
• Redis-based rate limiting implementation
• Graceful handling of limit exceeded cases

Caching with Redis

• Fast