@antengage/fonix-floating-agent NPM

@antengage/fonix-floating-agent

A flexible chat and webcall SDK with a floating chat button. This package allows you to easily integrate a chat and webcall features of AntEngage platform into your JS application, complete with a customizable floating chat button and audio processing capabilities.

Features

Customizable floating chat button.
Seamless integration with React applications.
Audio processing capabilities via processor.js.

Prerequisites

Before you begin, make sure you have the following installed:

Node.js (version 14 or higher)
npm (or yarn)

Installation

To install the package, run the following command:

npm install @antengage/fonix-floating-agent

Usage

After installing the SDK, you can import and use it in your JS application as follows:

import FloatingChat from "@antengage/fonix-floating-agent";

function App() {
  return (
    <div>
      <FloatingChat
        ae_domain="<DOMAIN>"             // http://fonix.ai/xyz-ooo
        botId="<BOT_ID>"                 // ****-****-****
        token="<AUTH_TOKEN>"            // *************=
        licenseToken="<LICENSE_TOKEN>"  // **************
      />
    </div>
  );
}

export default App;

Adding `processor.js` to the Public Folder

For audio processing to work, you need to add a file named processor.js in your application's public folder. This file enables the audio worklet for handling real-time audio input/output in your chat application.

Steps:

Create a file called processor.js in the public directory of your React project.
Example path:
```
your-project/public/processor.js
```
Add the following code to processor.js:

class MyProcessor extends AudioWorkletProcessor {
  constructor() {
    super();
    this.port.onmessage = this.handleMessage.bind(this);
  }

  handleMessage(event) {}

  process(inputs, outputs, parameters) {
    const input = inputs[0];
    const output = outputs[0];

    if (input.length > 0) {
      const inputChannelData = input[0];
      const outputChannelData = output[0];

      for (let i = 0; i < inputChannelData.length; i++) {
        outputChannelData[i] = inputChannelData[i];
      }

      this.port.postMessage(inputChannelData.buffer);
    }
    return true;
  }
}

registerProcessor('my-processor', MyProcessor);

This script will handle audio input/output processing for the chat SDK. The MyProcessor class is an AudioWorkletProcessor, and it's registered as 'my-processor'. This allows your chat application to process audio data in real-time.