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doc: initialize README with initial flow
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README.md

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# LangGraph Implementation with Geometry Visualization
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## Key Benefits of Using LangGraph + Visualization:
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### 1. **Clear State Management**
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- All application state is centralized in the `TutorState` TypedDict
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- State transitions are explicit and trackable
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- Easy to debug and maintain
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### 2. **Modular Node Design**
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- Each function handles a single responsibility
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- Easy to test individual components
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- Simple to add new features or modify existing ones
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### 3. **Flexible Workflow Control**
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- Conditional routing based on user input and application state
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- Easy to modify the flow without changing core logic
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- Visual representation of the workflow possible
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### 4. **Intelligent Geometry Visualization**
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- **AI-Powered Analysis**: Uses LLM to understand geometry problems
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- **Automatic Plot Generation**: Creates appropriate figures based on problem description
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- **Interactive Visualization**: Users can request plots at any time during problem solving
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- **Multiple Geometry Types**: Supports triangles, circles, quadrilaterals, and combinations
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### 5. **Error Handling & Recovery**
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- Each node can handle errors independently
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- Failed operations can route to appropriate recovery nodes
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- Graceful degradation of functionality
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### 6. **Scalability**
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- Easy to add new question types or tutoring modes
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- Simple to extend with additional AI agents
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- Can integrate with external tools and APIs
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## New Visualization Features:
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### **GeometryVisualizationAgent**
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- **Problem Analysis**: Parses geometry problems to extract figure requirements
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- **JSON-based Description**: Structured approach to defining geometric elements
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- **Matplotlib Integration**: Creates professional-looking geometric plots
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- **Fallback Handling**: Provides simple visualizations when complex analysis fails
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### **User Interactions**
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| Command | Action |
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|---------|--------|
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| `hint` | Get progressive hints (max 3 per question) |
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| `plot` | Generate and display geometry figure |
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| `Enter` or text | Show solution directly |
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## Comparison with Traditional Approach:
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| Aspect | Traditional (Class-based) | LangGraph + Visualization |
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|--------|---------------------------|---------------------------|
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| **State Management** | Instance variables | Centralized TypedDict |
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| **Flow Control** | Nested loops & conditionals | Graph-based routing |
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| **Modularity** | Method-based | Node-based functions |
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| **Testing** | Complex mocking | Isolated node testing |
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| **Debugging** | Step-through debugging | State inspection |
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| **Extensibility** | Inheritance/composition | Add nodes & edges |
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| **Visualization** | Manual/external tools | Integrated AI-powered plots |
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## Enhanced Workflow Visualization:
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```
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[START] -> Generate Problem -> Setup Question -> Generate Hints
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↓ ↓ ↓
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Extract Questions Display Current Create 3 Hints
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↓ Question ↓
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└─────────────────┴─────────→ Get User Input
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┌─────────────┼─────────────┐
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↓ ↓ ↓
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Process Hint Generate Plot Generate Solution
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↓ ↓ ↓
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Show Hint (1-3) Display Figure Show Full Solution
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↓ ↓ ↓
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└─────────────┼─────────────┘
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┌─────────┴─────────┐
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↓ ↓
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Next Question Ask Continue
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↓ ↓
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(Back to Setup) [END or Restart]
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```
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## Technical Implementation:
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### **Visualization Pipeline**
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1. **Problem Analysis**: LLM analyzes geometry problem text
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2. **Structure Extraction**: Identifies points, lines, circles, angles
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3. **Coordinate Generation**: Creates appropriate coordinate system
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4. **Plot Rendering**: Uses matplotlib to create visual representation
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5. **Display Integration**: Shows plot inline with problem solving flow
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### **Supported Geometry Elements**
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- **Points**: Labeled vertices with coordinates
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- **Lines**: Straight lines connecting points
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- **Circles**: With centers, radii, and inscribed/circumscribed relationships
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- **Angles**: Special angle markings and measurements
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- **Special Features**: Tangents, perpendiculars, parallel lines

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