How to Use a Chat API with JavaScript

In this tutorial, we’ll show you how to quickly integrate a Chat API into your JavaScript application.

Whether you're building a customer support feature, a live messaging system, or a team collaboration tool, adding real-time chat functionality can greatly enhance your app.

We’ll walk you through the steps of setting up the API, writing the necessary JavaScript code, and customizing the chat experience to fit your needs. By the end, you’ll be ready to add seamless, interactive messaging capabilities to your application in no time!

‍

What is a Chat API?

A Chat API enables real-time messaging functionality within applications, allowing users to send and receive text, media, and interactive content.

It supports features like user management, bot integration, push notifications, and encryption for secure communication.

Ideal for customer support, social apps, team collaboration, and e-commerce, a Chat API helps seamlessly integrate chat capabilities across multiple platforms, enhancing user interaction and engagement in your app.

‍

Steps to Integrate Chat API Using Eden AI

‍

Create Your Eden AI Account

1. Sign Up: If you don’t have an Eden AI account, sign up for free through the provided link to obtain your API key, which grants you access to a range of AI services, including AI Image Generatio

2. Access Generative tools: Once logged in, go to the Generative AI section of the platform.
3. Choose Chat Feature: Select the Chat tool. You can also explore other advanced image tools based on your specific requirements.

‍

Install JavaScript’s Axios Module

To communicate with the Eden AI API in JavaScript, we will use the Axios module, which is a promise-based HTTP client. Axios simplifies making HTTP requests, such as POST, to interact with external APIs.

To install Axios, open your terminal and run the following command:

npm install axios

‍

Prepare the Code

Once Axios is installed, you can set up your JavaScript file to interact with Eden AI’s Chat API. Below is an example of how to make a POST request to the Eden AI API for chat functionality:

import axios from 'axios';

const options = {
  method: 'POST',
  url: 'https://api.edenai.run/v2/llm/chat/',
  headers: { 
    accept: 'application/json', 
    'content-type': 'application/json' 
  },
  data: { 
    logprobs: false, 
    n: 1, 
    stream: false, 
    top_p: 1 
  }
};

axios
  .request(options)
  .then(res => console.log(res.data))
  .catch(err => console.error(err));

‍

Axios Import:
The import axios from 'axios'; line brings in the Axios library, enabling us to make HTTP requests.

Options Object:
The options object contains the details for our HTTP request:

• method: Specifies that the request method is POST.
  
• url: Points to the Eden AI API endpoint for the chat feature.
  
• headers: Defines the accept and content-type to ensure the API responds in JSON format and that we are sending JSON data.
  
• data: Contains the body of the request:
  
  
  • logprobs: A parameter that specifies whether or not to include log probabilities in the response (set to false here).
    
  • n: Defines the number of responses to return (set to 1 here).
    
  • stream: Indicates whether to stream responses (set to false).
    
  • top_p: Controls the diversity of responses (set to 1 here, which means the responses will be based on the most probable results).
    
    

Axios Request: The axios.request(options) sends the request to Eden AI. Upon success, the .then() function logs the response data to the console. If there's an error, it’s caught by the .catch() function and logged.

‍

Interpreting the Results

Once the request is successfully made, you’ll receive a response from the Eden AI API. The response will typically include the generated chat message from the model. Here’s an example of a response:

{
  "response": "Hello! How can I assist you today?",
  "status": "success"
}

‍

• ‍response: This is the actual message generated by the AI model based on the input and parameters you provided. In this case, the model responds with a greeting message.
• status: Indicates whether the request was successful. If the status is "success", the API call was successful.

‍

Conclusion

In this guide, you’ve learned how to integrate the Eden AI Chat API into your JavaScript application. We covered how to obtain an API key, install the necessary modules, and make a POST request to interact with the API.

We also explained how to interpret the response data and highlighted the benefits of using Eden AI for your messaging needs.

Eden AI provides a powerful, easy-to-use solution for integrating chat functionality into your application.

By leveraging its multi-provider support and straightforward API, you can quickly add advanced chat capabilities to your JavaScript projects without the hassle of managing your own infrastructure.

Whether you're building a chatbot, a live support system, or any other messaging feature, Eden AI is a great choice for developers looking to enhance user interaction in their applications.