AI API Utility

An intelligent API interaction tool that simplifies API integration and testing through AI-powered request generation, secure credential management, and robust validation.

Features

• 🤖 AI-Powered API Selection

  • Intelligent API recommendation based on user goals
  • Automatic request generation and parameter suggestions
  • Smart error analysis and resolution

• 🔐 Secure Credential Management

  • Local secure storage for API keys
  • Platform-specific credential handling
  • Automatic credential validation

• ✅ Advanced Request Validation

  • Pre-request parameter validation
  • URL and authentication verification
  • Pattern-based input validation
  • Comprehensive error handling

• 🔄 Robust Error Handling

  • Intelligent error analysis
  • Automatic retry with exponential backoff
  • Timeout management
  • Suggested fixes for common issues

Installation

# Clone the repository
git clone https://github.com/gjohnhazel/ai-api-utility.git
cd ai-api-utility

# Install dependencies
pip install -r requirements.txt

# Set up environment variables
cp .env.example .env
# Edit .env with your OpenAI API key and other configurations

Usage

# Run the main application
python api_generator.py

# Follow the interactive prompts to:
# 1. Describe your API integration goal
# 2. Select the recommended API
# 3. Provide or use stored credentials
# 4. Configure request parameters
# 5. Execute and manage API requests

Project Structure

ai-api-utility/
├── api_generator.py     # Main application logic
├── credential_manager.py # Secure credential handling
├── validator.py         # Request validation
├── .env                # Environment configuration
└── requirements.txt    # Project dependencies

Development Roadmap

Phase 1 (COMPLETED):

• Core Infrastructure & Security
  • Credential Management with secure local storage
  • Basic error handling framework
  • Retry logic with exponential backoff
  • Timeout handling

Phase 2 (In Progress):

• Input & Validation Improvements
  1. Add input validation framework
  2. Implement "help" command system
  3. Add default value handling
  4. Add request validation (pre-request parameter validation)
  5. URL validation enhancement
  6. Authentication verification

Phase 3:

• History & Session Management
  1. Create history storage system
  2. Add request saving/loading
  3. Implement replay functionality
  4. Add rate limit tracking
  5. Implement token refresh handling
  6. Add basic pagination support

Phase 4:

• Documentation & Preview
  1. Add documentation fetching system
  2. Implement quick reference system
  3. Add example integration
  4. Add curl command generation

Phase 5:

• Flutter Application Development (my goal all along was to have a mobile app)
  1. Initial Flutter project setup
  2. Core functionality migration
  3. Cross-platform UI development
  4. Local storage integration
  5. Authentication system implementation
  6. Request builder interface
  7. Response viewer development
  8. Testing and optimization

Phase 6:

• Enhanced Flutter Application
  1. Advanced request builder
  • Multi-tab request management
  • Request templates
  • Bulk request handling
  2. Response analysis tools
  • Response formatting
  • JSON/XML viewers
  • Schema validation
  3. Collection management
  • Request organization
  • Environment variables
  • Team sharing capabilities
  4. AI-powered features
  • Request suggestions
  • Parameter optimization
  • Error resolution
  • Documentation generation
  5. Advanced testing capabilities
  • Automated testing
  • Performance monitoring
  • Mock server integration
  6. Collaboration features
  • Team workspaces
  • Request sharing
  • Comment system
  • Version control

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• OpenAI for providing the AI capabilities
• The open-source community for various dependencies and inspiration
• Claude & Cursor for writing the code 😀
• Pythonista for being able to prototype on my iPhone