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+# Marvel AI Tools System
+
+## Overview
+
+The Marvel AI Tools System is a powerful feature set that enables AI-powered educational tools through a seamless integration between a React-based frontend and a Python FastAPI backend. The system leverages Google's Generative AI (Gemini) to provide various educational tools and features.
+
+### Key Features
+
+- **Modular Tool Architecture**: Each tool is a self-contained module with its own configuration, inputs, and processing logic
+- **Real-time Processing**: Asynchronous processing with immediate feedback
+- **State Management**: Robust state management using Redux for tool states and responses
+- **Data Persistence**: Automatic saving of tool responses to Firestore
+- **Error Handling**: Comprehensive error handling at both frontend and backend levels
+- **Extensible Design**: Easy addition of new tools through standardized interfaces
+
+## Architecture
+
+![Tools System Technical Diagram](tools-technical-diagram.png)
+*Sequence diagram showing the flow of a tool request through the system components*
+
+### High-Level Components
+
+```
+Marvel AI Tools System
+├── Frontend (Next.js)
+│   ├── Tool Components
+│   │   ├── ToolRequestForm
+│   │   ├── ToolResponse
+│   │   └── ToolsList
+│   ├── Services
+│   │   └── submitPrompt
+│   └── State Management (Redux)
+│
+└── Backend (FastAPI)
+    ├── API Router
+    ├── Tool Registry
+    ├── Tool Utilities
+    └── Individual Tools
+        ├── Connect With Them
+        ├── Lesson Plan Generator
+        └── [Other Tools]
+```
+
+### Key Technologies
+
+- **Frontend**: Next.js, React, Redux
+- **Backend**: FastAPI, Python
+- **AI**: Google Generative AI (Gemini)
+- **Database**: Firestore
+- **Vector Store**: Chroma
+- **API**: RESTful endpoints
+
+## How It Works
+
+### 1. Tool Request Flow
+
+1. **User Input**
+   - User selects a tool and fills in required inputs
+   - Frontend validates inputs using React Hook Form
+
+2. **API Communication**
+   - Frontend sends request to `/submit-tool` endpoint
+   - Request includes tool ID, inputs, and user information
+
+3. **Backend Processing**
+   - Backend validates request
+   - Loads tool configuration
+   - Executes tool-specific logic using Gemini AI
+   - Returns processed results
+
+4. **Response Handling**
+   - Frontend receives response
+   - Saves to Firestore
+   - Updates UI with results
+
+### 2. Tool Development
+
+Each tool requires:
+
+1. **Backend Implementation**
+   ```python
+   class NewTool:
+       def __init__(self, config):
+           self.model = config.get("model")
+           self.prompt = config.get("prompt")
+
+       async def process(self, inputs):
+           # Tool-specific logic
+           return result
+   ```
+
+2. **Tool Configuration**
+   ```json
+   {
+     "tool_id": "new_tool",
+     "name": "New Tool",
+     "description": "Tool description",
+     "inputs": [
+       {
+         "name": "input_field",
+         "type": "string",
+         "required": true
+       }
+     ]
+   }
+   ```
+
+3. **Frontend Components**
+   - Tool-specific response component
+   - Custom input validators (if needed)
+   - State management integration
+
+## Testing
+
+### Backend Testing
+
+1. **Unit Tests**
+   ```bash
+   # Run backend tests
+   cd marvel-ai-backend
+   pytest tests/
+   ```
+
+2. **Tool Testing**
+   ```bash
+   # Test specific tool
+   pytest tests/tools/test_tool_name.py
+   ```
+
+### Frontend Testing
+
+1. **Component Tests**
+   ```bash
+   # Run frontend tests
+   cd marvel-platform
+   npm test
+   ```
+
+2. **Integration Tests**
+   ```bash
+   # Run integration tests
+   npm run test:integration
+   ```
+
+### Manual Testing
+
+1. **Local Development**
+   ```bash
+   # Start backend
+   cd marvel-ai-backend
+   ./local-start.sh
+
+   # Start frontend
+   cd marvel-platform
+   npm run dev
+   ```
+
+2. **Testing New Tools**
+   - Create tool configuration
+   - Implement backend logic
+   - Add frontend components
+   - Test through UI
+   - Verify Firestore storage
+
+## Best Practices
+
+1. **Tool Development**
+   - Follow modular design principles
+   - Include comprehensive error handling
+   - Add proper logging
+   - Write unit tests
+
+2. **Frontend Development**
+   - Use TypeScript for type safety
+   - Follow React best practices
+   - Implement proper error boundaries
+   - Add loading states
+
+3. **Backend Development**
+   - Follow PEP 8 style guide
+   - Use async/await for I/O operations
+   - Implement proper validation
+   - Add comprehensive logging
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Add your tool following the architecture guidelines
+4. Add tests
+5. Submit a pull request
+
+## Troubleshooting
+
+Common issues and solutions:
+
+1. **Tool Execution Failures**
+   - Check input validation
+   - Verify API key configuration
+   - Check Gemini AI service status
+
+2. **Frontend Issues**
+   - Clear browser cache
+   - Check Redux DevTools
+   - Verify API endpoint configuration
+
+3. **Backend Issues**
+   - Check logs
+   - Verify environment variables
+   - Check Python dependencies
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