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@nomyx-ai/ai-node-debugger

v0.0.3

Published

AI-powered exception handler for Node.js applications

Downloads

10

Readme

ai-node-debugger

AI Node Debugger: An intelligent, AI-powered exception handler for Node.js that provides real-time, context-aware error analysis and debugging suggestions, enhancing developer productivity and code quality.

Features

  • AI-powered error analysis
  • Support for multiple AI providers (OpenAI and Azure OpenAI)
  • Rate limiting to prevent excessive API calls
  • Customizable output formats
  • Easy integration with existing Node.js applications

Installation

npm install @nomyx-ai/ai-node-debugger

Usage

Basic usage:

const { configure } = require('@nomyx-ai/ai-node-debugger');

configure({
  aiProvider: 'openai',
  apiKey: 'your-api-key-here'
});

// Your application code here

Advanced configuration:

const { configure } = require('@nomyx-ai/ai-node-debugger');

configure({
  aiProvider: 'azure',
  apiKey: 'your-azure-api-key-here',
  maxTokens: 2000,
  temperature: 0.7,
  outputFormat: 'json',
  rateLimitPerMinute: 5,
  callback: (result) => {
    // Custom handling of AI analysis result
    console.log(JSON.stringify(result, null, 2));
  }
});

// Your application code here

Configuration Options

| Option | Type | Default | Description | |--------|------|---------|-------------| | aiProvider | string | 'openai' | AI provider to use ('openai' or 'azure') | | apiKey | string | '' | API key for the chosen AI provider | | maxTokens | number | 1500 | Maximum number of tokens to generate | | temperature | number | 0.7 | Sampling temperature for AI responses | | outputFormat | string | 'console' | Output format ('console', 'json', or 'callback') | | rateLimitPerMinute | number | 10 | Maximum number of API calls per minute | | callback | function | undefined | Custom callback function for handling AI analysis results |

Error Analysis Output

The AI-powered error analysis provides the following information:

  • Error type
  • Initial thoughts on the error
  • Step-by-step analysis
  • Conclusion, including:
    • Explanation
    • Potential causes
    • Suggested fixes
    • Relevant code snippet
    • Debugging steps

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.