Implementing a chatbot using the SUSI.AI API

SUSI AI is an intelligent Open Source personal assistant. It is a server application which is able to interact with humans as a personal assistant. The first step in implementing a bot using SUSI AI is to specify the pathway for query response from SUSI AI server.

The steps mentioned below provide a step-by-step guide to establish communication with SUSI AI server:

    1. Given below is HTML code that demonstrates how to connect with SUSI API through an AJAX call. To put this file on a Node Js server, see Step 2.  To view the response of this call, follow Step 4.

      <!DOCTYPE html>
      <h1>My Header</h1>
      <p>My paragraph.</p>
      //Script with source here 
      //Script to be written here 

      In above code add scripts given below and end each script with closing tag </script>. In the second script we are calling SUSI API with hello query and showing data that we are receiving through call on console.

      <script src="">
    2. <script>
      $(function (){ 
              dataType: 'jsonp', 
              type:'GET', url: ' timezoneOffset=-300&q=hello', 
               success: function(data){ 
                   console.log('success', data); 
    3. Code below is in node js to setup localhost and getting the same above result on browser. Below is Node Js code to setup a server at localhost for the above created HTML file.

      var http = require('http');
       var fs = require('fs');
       http.createServer(function (req, res) {
        fs.readFile('YOURFILENAME.html', function(err, data) {
          res.writeHead(200, {'Content-Type': 'text/html'});
    4. We will get following response by running this Node js code and checking results on http://localhost:9000/ To run this code install Node Js and write “node filename.js” in command line.
    5. You can open above window by right clicking on page and selecting Inspect. Go to the Network option and select the relevant api call from left section of Inspect window.

We have successfully got response from SUSI API and now we can use this response for building bots for receiving replies for user.