HimanshuGoyal2004/Documentation-Agent

🤖 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. 1.Research Node: Analyzes code structure, identifies libraries, and checks existing documentation
2. 2.Document Node: Adds comprehensive docstrings and inline comments using Google style
3. 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