GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Working with the Builder
Building a Virtual Assistant
Using Workspaces
Release Notes
Current Version
Previous Versions
Deprecations

CONCEPTS
Design
Storyboard
Dialog Tasks
Overview
Dialog Builder
Node Types
Intent Node
Dialog Node
Entity Node
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Group Node
Agent Transfer
User Prompts
Voice Call Properties
Dialog Task Management
Connections & Transitions
Component Transition
Context Object
Event Handlers
Knowledge Graph
Introduction
Knowledge Extraction
Build Knowledge Graph
Add Knowledge Graph to Bot
Create the Graph
Build Knowledge Graph
Add FAQs
Run a Task
Build FAQs from an Existing Source
Traits, Synonyms, and Stop Words
Manage Variable Namespaces
Update
Move Question and Answers Between Nodes
Edit and Delete Terms
Edit Questions and Responses
Knowledge Graph Training
Knowledge Graph Analysis
Knowledge Graph Import and Export
Importing Knowledge Graph
Exporting Knowledge Graph
Creating a Knowledge Graph
From a CSV File
From a JSON file
Auto-Generate Knowledge Graph
Alert Tasks
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Digital Skills
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Views
Introduction
Panels
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Introduction
ML Engine
Introduction
Model Validation
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NLP Configurations
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Introduction
Contextual Memory
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Interruption Management
Multi-intent Detection
Amending Entities
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Sentinment Management
Tone Analysis
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Utterence Testing
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Deploy
Channels
Publish
Analyze
Introduction
Conversations Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Meta Tags
Dashboards and Widgets
Conversation Flows
NLP Metrics
Containment Metrics
Usage Metrics
Smart Bots
Universal Bots
Introduction
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Store
Manage Assistant
Plan & Usage
Overview
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Invoices
Authorization
Multilingual Virtual Assistants
Masking PII Details
Variables
IVR Settings
General Settings
Assistant Management
Data Table
Table Views
App Definitions
Sharing Data Tables or Views

HOW TOs
Build a Flight Status Assistant
Design Conversation Skills
Create a Sample Banking Assistant
Create a Transfer Funds Task
Create a Update Balance Task
Create a Knowledge Graph
Set Up a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Add Data to Data Tables
Update Data in Data Tables
Add Data from Digital Forms
Train the Assistant
Use Traits
Use Patterns for Intents & Entities
Manage Context Switching
Deploy the Assistant
Configure an Agent Transfer
Use Assistant Functions
Use Content Variables
Use Global Variables
Web SDK Tutorial
Widget SDK Tutorial
Analyze the Assistant
Create a Custom Dashboard
Use Custom Meta Tags in Filters

APIs & SDKs
API Reference
API Introduction
API List
API Collection
koreUtil Libraries
SDK Reference
SDK Introduction
SDK Security
SDK Registration
Web Socket Connect and RTM
Using the BotKit SDK

ADMINISTRATION
Introduction
Assistant Admin Console
Administration Dashboard
User Management
Add Users
Manage Groups
Manage Roles
Assistant Management
Enrollment
Invite Users
Send Bulk Invites
Import User Data
Synchronize Users from AD
Security & Compliance
Using Single-Sign On
Security Settings
Cloud Connector
Analytics
Billing
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Builder
  5. Dialog Task
  6. User Prompts

User Prompts

After creating an Entity, Confirmation, or Message node in the Dialog Builder, Kore.ai lets you do the following:

  • Modify the default message or user prompt displayed to the end-user.
  • Add new prompts or messages.
  • Add channel-specific prompts or messages.

Prompt Types

Dialog Tasks support two types of user prompts:

  • Standard: The prompt defined when adding a node in Dialog Builder is the standard or default prompt. When multiple standard prompts are defined for a node, the Platform chooses a random one to display to the end-user.
  • Channel-Specific: Optionally, define user prompts for specific channels such as email, SMS, Twitter, and more. Different widgets can be used based on channels such as a slider for numbers, date and time picker, and range selectors.

Prompt Editor

The prompt editor has three tabs to offer the following features:

  • Simple: Basic editor controls and HTML to define and format the user prompt. Enter text, and then format it using buttons for bold, italics, header styles, hyperlinks, ordered and unordered lists, and inserting lines.
  • JavaScript: Advanced JavaScript editor to define, format, and render the user prompt.
  • Preview: View a sample of the rendered output message with markup as displayed to the end-user.

Below is the JavaScript message from the Book Flights VA that presents the response from a weather API to the users in a custom format:

In the case of Error Prompts, if you have enabled the Present Prompts in the Order of Retries toggle, the handlebar icon will be visible before each error prompt message. You can use this to re-order the messages so that it is displayed in that sequence.

Configure the User Prompt

You can add or edit the prompts or VA messages from the Component Properties tab of an Entity, Confirmation, or Message node.
In the case of Entity and Confirmation nodes, you refer to Prompts whereas, for the Message node, they are referred to as Responses.

  1. On the dialog task builder, click the + icon next to the respective node for which you want to configure the prompts or responses.
  2. Select Confirmation (or Entity or Message) > New Confirmation (or Entity or Message) Node.
  3. The Confirmation (or Entity or Message) window is displayed with the Components Properties tab selected by default.
  4. Under the User Prompts (or VA Responses) section, click Manage.
    Note: If you want to make text edits to the default sample message, modify the message directly in the text box and press Enter without clicking Manage.
  5. Do one of the following:
    1. To edit the default sample message by adding context object variables or javascript code, click the sample message. The Message editor opens.
    2. To add a new prompt message, click Add Prompt Message/Manage Prompts. The Message editor opens.
  6. In the Channel drop-down list, All Channels is the default value. To create a channel-specific message, select the channel from the list.
  7. On the Message Editor, the Plain Text tab is the default selection. If you want to compose a Javascript message, click the JavaScript tab.Note: You can use stored context variables with {{variable brackets}}. For example, ‘Hello {{context.session.UserContext.firstName}}. How can I help you?’
  8. Compose the message and click Save.

To add any more VA responses, repeat from step 2b.

Plain Text Prompts

Use the Plain Text tab in the editor to compose the user prompts using basic editor controls and HTML. You can enter text, and then format the text using the formatting buttons for bold, italics, header styles, hyperlinks, ordered and unordered lists, and inserting a line.

The plain text tab supports the following markups:

Markdown Output
#h1 Heading One
#h2 Heading Two
#h3 Heading Three
#h4 Heading Four
#h5 Heading Five
#h6 Heading Six
“`Hello“`  
*Bold* Bold
~Italic~ Italic
[Link](http://www.google.com) Link
![Image](https://kbob.github.io/images/sample-4.jpg)  
Order
1. This is one
2. This is two

Order

  1. This is one
  2. This is two
Bullet
* This is one
* This is two

Bullet

  • This is one
  • This is two
This is
>>indented
 
This is line ___ This is line ___
This is <br> new line This is
new line

JavaScript Prompts or Responses

On the JavaScript tab of the editor, you can add custom code to handle the user prompt message using system and session variables. The following is a sample code for displaying the weather forecast for a location:

var loc=context.weatherapi.response.body.query.results.channel.item.condition.text.toLowerCase();
print("Here are the details:\n");
if(loc.indexOf("clear")>=0)
{
print('Its clear outside.');
}
 else if(loc.indexOf("sunny")>=0)
{
    print("Its sunny outside");
}
else if(loc.indexOf("cloud")>=0)
{
    print("Its very cloudy day");
}
else if (loc.indexOf('snow')>=0)
{
    print('Its snowy day');
}
else if(loc.indexOf('rain')>=0)
{
print('Yes, it looks like rainy day.');
}
else if(loc.indexOf('breeze')>=0)
{
    print("It's very breezy out there.");
}
else if(loc.indexOf('wind')>=0)
{
     print("It's very windy out there.");
}
else if(loc.indexOf('shower')>=0)
{
    print("It showering outside.");
}
print("Weather condition: " + context.weather +"\n");
print("Updated at: " + context.lastupdate+"\n");
print("Temperature: " + context.temp+"\n");
print("Wind: " + context.wind+"\n");
print("Pressure: " + context.pressure+"\n");
print("Visibility: " + context.humidity+"\n");
print("Humidity: " + context.visibility+"\n");

For more information, see Using Session and Context Variables in Tasks.

Preview the Prompt or Response

On the Preview tab, you can view a sample of the rendered output message that is displayed to the end-user with markup. To render the output for the code involving context variables, define them to use the Key and Value boxes in the tab to render a valid sample output for preview.

Channel-Specific User Prompts

By default, the Dialog Tasks configures the standard user prompts for all channels. However, you can define a specific response for one or more channels to display to the end-user in that channel instead of the Default response.
To define a channel-specific response, select a channel, for example, Kore.ai, and then define the user prompt on the JavaScript tab as needed. Only one response can be defined for each channel.

Note: Use the following keys to return default values for:
response.message – Returns the default message as a string.
response.message.choices – Returns the options choice or confirmation message types as an array.

  • Slack Channel Override Example
    var message = {};
    var attachments = [];
    var attachment = {
        'text': "Exception occurred during API execution",
        'color': '#FFCC00',
        'attachment_type': 'default'
    };
    attachments.push(attachment);
    message.attachments = attachments;
    print(JSON.stringify(message));
  • FaceBook Channel Override Example
    var message = {
        text: response.message
    };
    var buttons = [];
    for (var i = 0; i < response.choices.length; i++) {
        var choiceItem = response.choices[i];
        if (choiceItem.length > 20) {
            choiceItem = choiceItem.substring(
                0, 18) + '..';
        }
        var element = {
            content_type: 'text',
            title: choiceItem,
            payload: choiceItem
        };
        buttons.push(element);
    }
    message.quick_replies = buttons;
    print(JSON.stringify(message));
  • Email Channel Override Example
    var message = {};
    var text = response.message + ' <br> ';
    for (var i = 0; i < response.choices.length; i++) {
        text = text.concat(
            '<u> + response.choices[i] + ' <
            /u> <br>');
        }
        message.text = text;
        print(JSON.stringify(message));
  • SMS Channel Override Example
    var message = {};
        var indexArray = ['a', 'b', 'c',
            'd', 'e',
            'f', 'g', 'h', 'i', 'j',
            'k', 'l', 'm', 'n', 'o',
            'p', 'q', 'r', 's', 't',
            'u', 'v', 'w', 'x', 'y',
            'z'
        ];
        var text = response.message + '\\n';
        for (var i = 0; i < response.choices
            .length; i++) {
            text = text.concat(indexArray[i] +
                ') ' + response.choices[
                    i] + '\\n');
        }
        message.text = text;
        print(JSON.stringify(message));

Channel Specific Templates and Customizing JavaScript Responses

If you select “All Channels” as an option in the Channel drop-down of Bot Responses, you can enter your response as either a Plain text or use JavaScript, but the JavaScript will not have any list of templates displayed (see the following screenshot), because one template/JSON may not work for ‘All’ channels.

Key details:

  • If you try to use any JavaScript template for an ‘All channel’ response, the template will be shown as is in JSON format and may not render correctly on the channel. You will need to choose a channel-specific template for rendering a specific template for your channel.
  • If any channel-specific override is present, the platform will use/prefer that over the ‘All channel’ response while responding on that specific channel. For example, if you have a specific message or template for MS Teams, the bot will prefer that while responding to a user over the MS Teams channel and ignore what is mentioned in the ‘All channel’ response.
  • You can have more than one response configured for a channel. The bot will randomly choose if more than one response is configured for any given channel. This holds true for all-channel responses too if no other channel-specific responses are configured.

If your bot has multiple channels, most probably each channel will have its own template.

For a few channel options in the Channel drop-down, you can see a list of templates displayed for JavaScript response. For example, select the Web/Mobile Client channel and choose any template from the Channel Templates list for your response as illustrated below.

For more information on templates, see Widget SDK – Message Formatting and Templates.

The same message configuration rules and principles apply while configuring any entity prompt or KG responses too.

Note: The channel template options are different for each channel. The template definitions provided in the platform are only for reference purposes. Please refer to the documentation of the channel provider to obtain the latest template definitions.

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