๐ค 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.
โจ Features
- ๐ง Intelligent Documentation: Adds comprehensive docstrings and comments
- ๐ Code Analysis: Identifies issues and provides recommendations
- ๐งช Automated Testing: Executes code with various test scenarios
- ๐ Professional Output: Clean, business-appropriate formatting
- ๐ Library Research: Uses web search to understand unfamiliar libraries
๐ How to Use
- ๐ Enter API Keys: Get your free keys from the links below
- ๐ Add Your Code: Paste Python code or use the sample
- โก Process: Click "Analyze & Document Code"
- ๐ Review Results: Check documented code and analysis
๐ก Tip: The system works best with functions, classes, and complete code snippets!
Ready to analyze code. Please provide your API keys and code.
๐ Documented Code
๐ Analysis Results
Workflow Steps
- Research Node: Analyzes code structure, identifies libraries, and checks existing documentation
- Document Node: Adds comprehensive docstrings and inline comments using Google style
- Analyze Node: Executes code with various test scenarios and identifies potential issues
- Final Node: Saves results and provides summary
What You Get
- Enhanced Code: Your original code with professional documentation
- Detailed Analysis: Comprehensive testing results and recommendations
- Issue Identification: Potential problems and improvement suggestions
- Usage Guidelines: Instructions for implementation and testing
API Keys Required
- Google API Key: Get it from Google AI Studio
- Tavily API Key: Get it from Tavily for web search functionality
Technologies Used
- LangGraph: Workflow orchestration and state management
- Google Gemini 2.5 Flash: Advanced language model for analysis
- Tavily Search: Web search for library research
- Python AST: Code structure analysis
- Code Execution Tools: Safe code testing environment
Supported Features
- Function and class documentation
- Inline code comments
- Error handling analysis
- Performance recommendations
- Security issue identification
- Test case generation
- I/O behavior documentation