README.md

metadata

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
• Tavily API Key: For web search functionality during library research
  • Get it from Tavily

🎯 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

def divide_numbers(a, b):
    return a / b

Documented Output

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