open-index/open-npm huggingface dataset:
npm package: @nomunomu0504/react-twitter-embed
Description: Twitter Embed for React
Author: Hiroki Nomura
Latest version: 1.0.2

<h3 align="center">
  react-twitter-embed
</h3>

<p align="center">
  <img src="https://img.shields.io/npm/l/@nomunomu0504/react-twitter-embed" alt="licence">

  <a href="https://www.npmjs.com/package/@nomunomu0504/react-twitter-embed" target="_blank">
    <img src="https://img.shields.io/npm/v/@nomunomu0504/react-twitter-embed.svg" alt="npm">
  </a>

  <img src="https://img.shields.io/bundlephobia/min/@nomunomu0504/react-twitter-embed" alt="minified size">

  <img src="https://img.shields.io/david/nomunomu0504/react-twitter-embed" alt="dependencies">

  <a href="https://www.npmjs.com/package/@nomunomu0504/react-twitter-embed">
    <img src="https://img.shields.io/npm/dt/@nomunomu0504/react-twitter-embed" alt="downloads">
  </a>
</p>

<p align="center">
  Simplest and Easiest Twitter Embed Library for React Project.
</p>
npm package: @nomyx-ai/ai-node-debugger
Description: AI-powered exception handler for Node.js applications
Author: Your Name
Latest version: 0.0.3

# 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

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

## Usage

Basic usage:

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

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

// Your application code here
```

Advanced configuration:

```javascript
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.