Chatbot Overview
Conversational Bots
Intents & Entities
Intelligent Bots
Kore.ai's Approach
Kore.ai Conversational Platform
Bot Concepts and Terminology
Natural Language Processing (NLP)
Bot Types
Bot Tasks
Starting with Kore.ai Platform
How to Access Bot Builder
Working with Kore.ai Bot Builder
Building your first Bot
Getting Started with Building Bots
Using the Dialog Builder Tool
Creating a Simple Bot
Release Notes
Latest Updates
Older Releases
Deprecations
Bot Builder
Creating a Bot
Design
Develop
Storyboard
Dialog Task
User Intent Node
Dialog Node
Entity Node
Supported Entity Types
Composite Entities
Supported Colors
Supported Company Names
Form Node
Logic Node
Message Nodes
Confirmation Nodes
Service Node
Custom Authentication
2-way SSL for Service nodes
Script Node
Agent Transfer Node
WebHook Node
Grouping Nodes
Connections & Transitions
Managing Dialogs
User Prompts
Alert Tasks
Alert Tasks
Ignore Words and Field Memory
Digital Forms
Digital Views
Knowledge Graph
Terminology
Building
Generation
Importing and Exporting
Analysis
Knowledge Extraction
Small Talk
Action & Information Task
Action Tasks
Information Tasks
Establishing Flows
Natural Language
Overview
Machine Learning
Model Validation
Fundamental Meaning
NLP Settings and Guidelines
Knowledge Graph Training
Traits
Ranking and Resolver
NLP Detection
Advanced NLP Configurations
Bot Intelligence
Overview
Context Management
Session and Context Variables
Context Object
Dialog Management
Sub-Intents & Follow-up Intents
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Default Conversations
Default Standard Responses
Channel Enablement
Test & Debug
Talk to Bot
Utterance Testing
Batch Testing
Record Conversations
Publishing your Bot
Analyzing your Bot
Overview
Dashboard
Custom Dashboard
Conversation Flows
Bot Metrics
Advanced Topics
Bot Authorization
Language Management
Collaborative Development
IVR Integration
Data Table
Universal Bots
Defining
Creating
Training
Customizing
Enabling Languages
Smart Bots
Defining
Sample Bots
Github
Asana
Travel Planning
Flight Search
Event Based Bot Actions
koreUtil Libraries
Bot Settings
Bot Functions
General Settings
PII Settings
Customizing Error Messages
Manage Sessions
Bot Management
Bot Versioning
Using Bot Variables
API Guide
API Overview
API List
API Collection
SDKs
SDK Overview
SDK Security
SDK App Registration
Web SDK Tutorial
Message Formatting and Templates
Mobile SDK Push Notification
Widget SDK Tutorial
Widget SDK – Message Formatting and Templates
Web Socket Connect & RTM
Using the BotKit SDK
Installing
Configuring
Events
Functions
BotKit SDK Tutorial – Agent Transfer
BotKit SDK Tutorial – Flight Search Sample Bot
Using an External NLP Engine
Bot Administration
Bots Admin Console
Dashboard
User Management
Managing Users
Managing Groups
Managing Role
Bots Management
Enrollment
Inviting Users
Bulk Invites
Importing Users
Synchronizing Users from AD
Security & Compliance
Using Single Sign-On
Security Settings
Cloud Connector
Analytics
Billing
How Tos
Creating a Simple Bot
Creating a Banking Bot
Transfer Funds Task
Update Balance Task
Context Switching
Using Traits
Schedule a Smart Alert
Configure Digital Forms
Add Form Data into Data Tables
Configuring Digital Views
Add Data to Data Tables
Update Data in Data Tables
Custom Dashboard
Custom Tags to filter Bot Metrics
Patterns for Intents & Entities
Build Knowledge Graph
Using nlMeta
Global Variables
Content Variables
Using Bot Functions
Configure Agent Transfer
  1. Home
  2. Docs
  3. Bots
  4. Chatbot Overview
  5. Creating a Simple Bot

Creating a Simple Bot

After you have signed up with the Kore.ai Bots platform, the next step is to create a Bot. Before you create a Bot, it is recommended to go through the basics of Bot building from this link.

You can follow the steps given in this document to build the Bot at your own pace. Or use the Guided Help for the step-by-step Bot creation process.

To access the Guided Help, follow the below steps:

  1. Log in to your Bot account.
  2. On the Bot Builder Landing Page, click Help on the top-right.
  3. On the Page Help window, click Guided Help next to Build a ‘Hello world’ bot with guided help.
  4. A list of use cases is displayed. Click Get Started to proceed with a use case.
  5. This document helps you with the Dialog Task Bot (Flight Status Bot).

Bot Overview

This Bot gives you the flight status arriving/departing from Los Angeles International Airport depending upon the user selection.

This Bot can:

  • Ask the user if they want to know about the arrivals or departures.
  • Make a service call to an API to fetch the details of flights arriving and departing out of the airport.
  • Display the flight numbers based on the user preference of Arrival or Departure.
  • Request the user to select a flight number.
  • Display the status details of the selected flight.
  • Handle any errors.

Build the Bot

You can create a Standard Bot. To create, follow the below steps:

  1. Log in to your Kore.ai Bots platform account.
  2. On the Bots landing page, click + New Bot on the top-right.
  3. On the Create New Bot window, enter the Bot details:
    • Bot Name – Give a name to your Bot. For example, Airport Bot. If the name is already used, try something else.
    • Select English from the Default Bot Language drop-down list and Standard Bot from the Bot Type drop-down list.
  4. Click Create.

Create a Dialog Task

After the Bot creation, you are directed to the Bot Summary page. The first step is to add an Intent Dialog. Intent Dialog is the first step in the user-bot conversation flow.

  1. On the Tasks widget, click + New Task and select Dialog Task.
  2. On the Bot Tasks page, enter the following details:
    • Intent Name – Enter the Intent name, this is the phrase that triggers the dialog. The intent name must be simple and not more than 3-4 words. For example, Get flight status.
    •  Under the More Options, you can add a description and other dialog related details. Let us retain the default settings.
  3. Click Create & Proceed.
  4. On the User Intent window, by default, the Component Properties tab is selected. Let us retain the default properties.
  5. Close the User Intent window.

Create a User Preference Entity Node

An Entity node is typically used to gather information from the user. Let us use it to capture the user preference of arrival or departure details.

  1. Click the + icon next to the User Intent node.
  2. Select Entity > New entity node +.
  3. On the Entity window, by default, the Component Properties tab is selected.
  4. Under the General Settings section, enter the following details:
    • Name: Preference
    • Display Name: Preference 
    • Type: Select List of Items (enumerated) from the drop-down list. You can provide a list of values that the user can select. To add a list of values,
        • Click the Settings icon next to the field.
        • Select the Static List option.
        • Under the Keys & Values To Use section, enter the Display Name as Arrival and Departure in separate rows. Value and Synonyms columns auto-populates, leave them as is.
        • Click Save.
        • Go back to the Entity window.
    • Under the User Prompts section, enter the following text:
      Hello {{context.session.UserContext.firstName}}! Welcome to *Los Angeles International Airport*. I can help you with flight Arrival/Departure information. Please select your preference.
      Note: The context variable retrieves the user’s first name. Also, markdown is used for the airport name to appear in bold.
    • Click Enter to save.
    • Under the Display List of Values section, select Yes, use channel-specific standard formatting for default messages and show the available list of values to the end-user option. This displays the list of values as a button template in supported channels.
  5. Close the Entity window.

Create a Service Node

A Service node allows you to make a backend API call. Here the service node is used to call an API to get flight information for flights From and To LAX airport. In this tutorial, a dummy API setup is used.

  1. Click the + icon next to the Preference Entity node.
  2. Select Service > New service node +.
    • The service node is used to make a backend API call to get flight information for flights From and To LAX airport.
  3. On the Service window, by default, the Component Properties tab is selected.
  4. Under the General Settings section, enter the following details:
    • Name: Fetchflightdetails
    • Display Name: Fetch Flight Details
    • Service Type: Custom Service
    • Type: Webservice
    • Sub Type: REST
    • Under the Request Definition section, Click DEFINE REQUEST.
    • On the Define Request page, enter the following details:
      • Request TypeGET
      • Request URLhttp://5e85a56644467600161c6579.mockapi.io/FlightDetails
        This API does not require any Auth or Header Parameters.
      • Click the Test Request tab.
        • Click Test on the top-right.
        • Wait for the test to complete and you get a Status Code 200.
        • Click Save as Sample Response.
        • Click Save.

  5. Close the Service window.

Create a Flight Selection Entity Node

This Entity node is to capture the Flight Number for which the user wants the status details.

  1. Click the + icon next to the Fetch Flight Details Service node.
  2. Select Entity > New entity node +.
    • The Entity node is required to capture the flight number selected by the user.
  3. On the Entity window, by default, the Component Properties tab is selected.
  4. Under the General Settings section, enter the following details:
    • Name: SelectFlight
    • Display Name: Select Flight 
    • Type: String (users can write a custom script to convert the API string output to a list of values in the following steps, this is the requirement of the dummy API used)
  5. Under the User Prompts section, enter the following text:
    Please provide the flight number.

    • Manage Prompts: Users can define a specific prompt for the Web SDK channel.
    • Click MANAGE PROMPT MESSAGES.
    • Click ADD PROMPT MESSAGE.
    • On the New Prompt Message window, select Web/Mobile client from the Channel drop-down list.
    • Under the Message section, click the JavaScript tab.
    • Enter the following JavaScript. The JavaScript extracts flight numbers matching user preference from the string output from API call and displays them in the Quick Reply format.
      var data = context.Fetchflightdetails.response.body.details;
      context.flights = [];
      context.info;
      var msg;
      for (var i = 0; i < data.length; i++)
      {
          if (context.entities.Preference == data[i].Type)
          {
              var details = {
                  "Airlines" : data[i].Airlines,
                  "FlightNo" : data[i].FlightNo,
                  "Airport" : data[i].Airport,
                  "AirportName" : data[i].AirportName,
                  "Time" : data[i].Time
              };
              context.flights.push(details);
          }
      }
      var message = {
          "type" : "template",
          "payload" : {
             "template_type" : "quick_replies",
             "text" : "Here are the flights " + context.entities.Preference + " details for Los Angeles International Airport today. Please select the flight number to see details",
             "quick_replies" : []
          }
      };
      for (i=0; i < context.flights.length; i++)
      {
         var replies = {
              "content_type":"text",
              "title" : context.flights[i].FlightNo,
              "payload" : context.flights[i].FlightNo
          };
      message.payload.quick_replies.push(replies);
      }
      return JSON.stringify(message);
  6. Click Save.
  7. Go back to Dialog Builder and close the Entity window.

Create a Script Node

A Script node is used to write custom JavaScript in the Dialog task. Here, users can use the script to extract the selected flight details. Later, users can add more functionality to this script.

  1. Click the + icon next to the Select Flight Entity node.
  2. Select Script > New script node +.
  3. On the Script window, by default, the Component Properties tab is selected.
  4. Under the General Settings section, enter the following details:
    • Name: ValidateFlight
    • Display Name: Validate Flight 
  5. Under the Script Definition section, click Define Script.
  6. On the Add Script dialog box, copy the following JavaScript. This code extracts the details of the selected flight number.
    context.details;
    var x = context.flights.length;
    for (var l = 0; l < x; l++)
    {
        if (context.entities.SelectFlight == context.flights[l].FlightNo)
        {
             context.details = {
                "Airlines" : context.flights[l].Airlines,
                "FlightNo" : context.flights[l].FlightNo,
                "Airport" : context.flights[l].Airport,
                "AirportName" : context.flights[l].AirportName,
                "Time" :context.flights[l].Time
            };
            break;
        }
    }
  7. Click Save.
  8. Close the Script window.

Create a Message Node

A Message node is used to display a message from the Bot to the user. Here, users can use the Message node to show appropriate flight details, based on user preference.

  1. Click the + icon next to the Validate Flight Script node.
  2. Select Message > New message node +.
  3. On the Message window, by default, the Component Properties tab is selected.
  4. Under the General Settings section, enter the following details:
    • Name: FlightDetails
    • Display Name: Flight Details 
  5. Under the Bot Responses section, enter the following text:
    Here are your flight details.
  6. Click Enter to save.
  7. Manage Prompts: Users can define a specific prompt for the Web SDK channel.
    • Click MANAGE RESPONSES.
    • On the Manage Bot Responses page, click ADD BOT RESPONSE.
    • Select Web/Mobile client from the Channel drop-down list.
    • Under the Message section, click the JavaScript tab.
    • Copy the following JavaScript. The JavaScript is written to display the flight details in the Table format.
      var message = {
       "type": "template",
       "payload": {
       "template_type": "mini_table",
       "layout": "horizontal",
       "text":"Flight " + context.entities.Preference + " Information" ,
       "elements": [
       {
       "primary":[["Flight No"], [context.details.FlightNo, "right"]],
       "additional":[["Airlines", context.details.Airlines],["From",context.details.Airport],["Time",context.details.Time],["Remarks","On Time"]]
       }
       ]
      }
      };
      print(JSON.stringify(message));
    • Click Save.
  1. Go back to the Message window.
  2. On the Message window, click the Connections tab.
    • From the drop-down list, change the default connection from Not Connected to End of Dialog.
    • Click Save.
  3. Close the Message window.

Test the Bot

To test the Dialog task, you can use the Talk to bot option at the bottom right.

  1. Enter the utterance (intent name) Get me the flight status.
  2. Follow the Bot instructions:
    • Select Arrival/Departure
    • Select Flight No
    • See the flight details displayed in a tabular format.

Add Events

Currently, the Bot is waiting for user input on start. Also, the Bot can guide the user at the start of the conversation. For this, you can add an Event Handler to initiate this task every time a new connection is established from the Web/Mobile SDK.

  1. Close the Dialog Builder and go to the Bot Tasks page.
  2. Hover over the Left Navigation pane, and select Natural Language > Default Conversation > Event Handlers.
  3. From the events list, click Configure against the On Connect event.
  4. On the On Connect window, by default, the Initiate Task option is selected; retain it.
  5. From the drop-down list, select the Get Flight Status task.
  6. Click Save and Enable.

Test the Bot

To test the Dialog task, you can use the Talk to bot option at the bottom right. Since the onConnect event is configured, the dialog is automatically initiated.
Follow the Bot instructions:

  1. Select Arrival/Departure
  2. Instead of selecting Flight No, manually enter a number that does not exist on the list.
  3. You can see a generic message like I am sorry, something went wrong and I had to discard your task. Please retry”.

In the next steps, you can see how to rectify this.

Modify Script Node

As the String type is used in the Select Flight entity, you can handle the scenario that the user, instead of selecting from the list, has manually entered an incorrect flight number. You can do this by displaying an appropriate message based on Connections.
In this step, you can modify the script that you saved earlier to add verification of the user entry.

  1. Open the Dialog Builder page. You can do this either
    • From the Left Navigation pane, click Bot Tasks and select the Get Flight Status task.
    • From the Left Navigation pane, click Dashboard > Bot Summary select the Get Flight Status task.
  2. Select ValidateFlight Script node.
  3. On the Validate Flight Script window, under the Script Definition section, click Define Script.
  4. On the Add Script dialog box, copy the following JavaScript and replace the existing code. You can add a valid tag to be set when the flight number entered by the user matches an entry returned by the API service call.
    context.valid = false;
    context.details;
    var x = context.flights.length;
    for (var l = 0; l < x; l++)
    {
        if (context.entities.SelectFlight == context.flights[l].FlightNo)
        {
             context.valid = true;
             context.details = {
                "Airlines" : context.flights[l].Airlines,
                "FlightNo" : context.flights[l].FlightNo,
                "Airport" : context.flights[l].Airport,
                "AirportName" : context.flights[l].AirportName,
                "Time" :context.flights[l].Time
            };
            break;
        }
    }
    if (context.valid === false)
    {
        delete context.entities.SelectFlight;
    }
  5. Close the Validate Flight Script window.

Create Conditional Flow

The following are the steps to add the conditional flow from the Validate Flight Script node. A new connection from this Script node to a new Message node is established. This is to display an error message from the Bot to the user and redirect to select the flight number again.

Create Error Message

  1. Hover over the Validate Flight Script node.
  2. You can see an array of icons on the node.
    • Click the + icon. A new connection is created. From this new connection, create a new Bot message node.
    • Select MessageNew message node +.
    • On the Message window, by default, the Component Properties tab is selected.
    • Under the General Settings section, enter the following details:
      • Name: ErrorMessage
      • Display Name: Error Message 
    • Under the Bot Responses section, enter the following text:
      The Flight number entered is incorrect. Let us start again.
    • Click Enter to save.
    • Click the Connections tab.
    • From the drop-down list, change the default connection from Not Connected to SelectFlight.
    • Click Save.
  3. Close the Error Message window.

ValidateFlight Script Connections

  1. Click the ValidateFlight Script node.
  2. On the Validate Flight Script window, click the Connections tab.
  3. Click + ADD IF.
  4. Under the IF section,
    • Select Context
    • For If Condition, enter the text as valid.
    • Select the operator as equals.
    • Enter the value as true.
    • If this condition is true, then the dialog goes to FlightDetails.
  5. Under the ELSE section,
    • If this condition is false, then the dialog goes to ErrorMessage.
  6. Click Save.
  7. Close the Validate Flight Script window.

Test the Bot

To test the Dialog task, you can use the Talk to bot option at the bottom right. Since the onConnect event is configured, the dialog is automatically initiated. Alternately, you can always try the following utterance (intent name) Get me the flight status.
Follow the Bot instructions:

  1. Select Arrival/Departure
  2. Enter an invalid flight number.
  3. You can see the appropriate error message and prompted to enter the flight number again.
  4. Select a flight number.
  5. You can see the flight details in a tabular format.

You have successfully created and tested your first Bot.

The next steps are to:

  • Train your Bot to respond to various user utterances like I want to know the status of a flight, What is the status of QR040? You can achieve this by training your Bot.
  • Enable a channel and publish your Bot for user access. See here for more.
Menu