OVERVIEW
Virtual Assistants
Kore.ai Platform
Key Concepts
Natural Language Processing (NLP)
Accessing Platform
VIRTUAL ASSISTANTS
Virtual Assistant Builder
Virtual Assistant Types
Getting Started
Creating a Simple Bot
SKILLS
Storyboard
Dialog Task
Introduction
Dialog Builder (New)
Dialog Builder (Legacy)
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
Bot Action Node
Service Node
Custom Authentication
2-way SSL for Service nodes
Script Node
Agent Transfer Node
WebHook Node
Grouping Nodes
Connections & Transitions
Manage Dialogs
User Prompts
Knowledge Graph
Terminology
Building
Generation
Importing and Exporting
Analysis
Knowledge Extraction
Build
Alert Tasks
Introduction
Ignore Words and Field Memory
How to Schedule a Smart Alert
Small Talk
Digital Views
Overview
Configuring Digital Views
Digital Forms
Overview
How to Configure Digital Forms
NATURAL LANGUAGE
Overview
Machine Learning
Introduction
Model Validation
Fundamental Meaning
Introduction
NLP Guidelines
Knowledge Graph
Traits
Introduction
How to Use Traits
Ranking and Resolver
Advanced NLP Configurations
INTELLIGENCE
Overview
Context Management
Overview
Session and Context Variables
Context Object
How to Manage Context Switching
Manage Interruptions
Dialog Management
Sub-Intents & Follow-up Intents
Amend Entity
Multi-Intent Detection
Sentiment Management
Tone Analysis
Sentiment Management
Event Based Bot Actions
Default Conversations
Default Standard Responses
TEST & DEBUG
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
CHANNELS
PUBLISH
ANALYZE
Overview
Dashboard
Custom Dashboard
Overview
How to Create Custom Dashboard
Conversation Flows
NLP Metrics
ADVANCED TOPICS
Universal Bots
Overview
Defining
Creating
Training
Customizing
Enabling Languages
Store
Smart Bots
Defining
koreUtil Libraries
SETTINGS
Authorization
Language Management
PII Settings
Variables
Functions
IVR Integration
General Settings
Management
Import & Export
Delete
Versioning
Collaborative Development
PLAN & USAGE
Overview
Usage Plans
Support Plans
Invoices
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
ADMINISTRATION
HOW TOs
Creating a Simple Bot
Creating a Banking Bot
Context Switching
Using Traits
Schedule a Smart Alert
Configure UI 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
Global Variables
Content Variables
Using Bot Functions
Configure Agent Transfer
Update Balance Task
Transfer Funds Task
RELEASE NOTES
  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 bot 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 bot 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 Bot 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 bot 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));
Menu
Kore.ai Named a Leader in 2022 Gartner® Magic Quadrant™ for Enterprise Conversational AI PlatformsGet the Report