---
title: Documentation Agent
emoji: 💻
colorFrom: green
colorTo: red
sdk: gradio
sdk_version: 5.47.1
app_file: app.py
pinned: false
license: mit
---

# 🤖 Self-Documentation Agent System

An AI-powered system that automatically analyzes, documents, and validates Python code using LangGraph workflows and Google's Gemini 2.5 Flash model.

## 🚀 Features

- **Intelligent Documentation Detection**: Automatically skips documentation if already present
- **Comprehensive Code Documentation**: Generates detailed docstrings, inline comments, and warnings
- **Automated Code Testing**: Executes code with various test scenarios and captures I/O behavior
- **Professional Output**: Clean, business-appropriate formatting without excessive emojis
- **Library Research**: Uses web search to understand unfamiliar libraries
- **Issue Identification**: Flags potential syntax errors, logic problems, and security risks

## 🔧 How It Works

The system uses a simplified three-node LangGraph workflow:

1. **Research Node**: Analyzes code structure, identifies libraries, and checks existing documentation
2. **Document Node**: Adds comprehensive docstrings and inline comments using Google style
3. **Analyze Node**: Executes code with various test scenarios and identifies potential issues

## 📋 Requirements

To use this system, you'll need:

- **Google API Key**: For accessing the Gemini 2.5 Flash model
  - Get it from [Google AI Studio](https://makersuite.google.com/app/apikey)
- **Tavily API Key**: For web search functionality during library research
  - Get it from [Tavily](https://tavily.com/)

## 🎯 Use Cases

- **Code Review**: Automatically document and analyze code before reviews
- **Legacy Code**: Add documentation to undocumented codebases
- **Learning**: Understand how code works through comprehensive analysis
- **Quality Assurance**: Identify potential issues and improvements
- **Documentation Standards**: Ensure consistent documentation across projects

## 🛠️ Technologies

- **LangGraph**: Workflow orchestration and state management
- **Google Gemini 2.5 Flash**: Advanced language model for code analysis
- **Tavily Search**: Web search for library research
- **Gradio**: Interactive web interface
- **Python AST**: Code structure analysis

## 📖 Example Output

### Input Code
```python
def divide_numbers(a, b):
    return a / b
```

### Documented Output
```python
def divide_numbers(a, b):
    """
    Divides two numbers.

    Args:
        a (float or int): The numerator.
        b (float or int): The denominator.

    Returns:
        float: The result of the division.

    Raises:
        ZeroDivisionError: If the denominator 'b' is zero.
    """
    # WARNING: This function will raise a ZeroDivisionError if 'b' is 0.
    # For robust applications, consider adding a try-except block or a check for b == 0.
    return a / b
```

### Analysis Results
- **Issues Found**: Division by zero risk
- **Test Results**: Execution with various inputs
- **Recommendations**: Add error handling
- **Usage Guidelines**: Implementation best practices

## 🔒 Privacy & Security

- API keys are handled securely and not stored
- Code processing happens in isolated environments
- No data is permanently stored or shared