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
Small Talk
Digital Skills
Digital Forms
Views
Introduction
Panels
Widgets
Train
Introduction
ML Engine
Introduction
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
NLP Configurations
NLP Guidelines
Intelligence
Introduction
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Sentinment Management
Tone Analysis
Test & Debug
Talk to Bot
Utterence Testing
Batch Testing
Conversation Testing
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
Usage Plans
Support Plans
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. Dialog Node

Dialog Node

Dialog Node lets you start a new dialog task within an existing dialog task if the user intent changes.

For example, let us consider a travel bot that has the following three dialog tasks: Flight Availability, Book a Flight, and Book a Hotel. You may want to invoke the Book a Flight dialog task from the Flight Availability dialog task.

Key Features

The key features of dialog nodes are listed below:

  • The ability to carry data from the current dialog task to the target dialog task as entity pre-assignments described in the later section.
  • When a target dialog task is invoked, the current dialog flow begins at the root intent of the new dialog task. If you write transitions for the dialog node, then the flow returns to the source dialog task after completing the target. If you do not write transitions, the dialog task ends after executing the target dialog task. This differs from an optional User Intent node, where the dialog flow processes a related user intent and then continues in the same dialog task thereafter.

Set-Up

Setting up an dialog node in a dialog task involves the following steps:

Add Node

  1. Open the dialog task to add the Dialog node.
  2. Add a Dialog node in the designated place. For steps in adding nodes, refer here.
  3. The dialog window is displayed with the Component Properties tab selected by default.

Configure Node

Component Properties

The configurations you set up or edit in the Component Properties tab reflects in all the dialog tasks that use this node.

  1. On the Component Properties tab, under the General Settings, you can modify
    • the Name and
    • the Description.

NLP Properties

  1. From the NLP Properties tab, you can perform actions from the below-listed sections:
    • Machine Learning settings to provide user utterances to improve the detection for this node.
    • Bot Synonyms or related phrases for this node.
    • Patterns to capture this node if the user’s utterance contains these specific patterns.

Connections Properties

  1. Click the Connections tab and set the transition properties to determine the node in the dialog task to execute next. You can write the conditional statements based on the values of any Entity or Context Objects in the dialog task, or you can use intents for transitions. If you have defined the Transition Property as End the current task, then these settings are ignored.
    1. Under the Connection Rules section, click Add IF.
    2. Configure the conditional expression based on one of the following criteria:
      • Entity: Compare an Entity node in the dialog with a specific value:
        • Select the Entity.
        • Select an operator from the drop-down lists: Exists, equals to, greater than equals to, less than equals to, not equal to, greater than, and less than.
        • Type the number in the Value field.  For example, PassengerCount (entity) greater than (operator) 5 (specified value).
      • Context: Compare a context object in the dialog with a specific value using one of these operators: Exists, equals to, greater than equals to, less than equals to, not equal to, greater than, and less than. For example, Context.entity.PassengerCount (Context object) greater than (operator) 5 (specified value).
      • Intent: Select an intent that matches the next user utterance.
    3. In the Then go to drop-down list, select the next node to execute in the dialog flow if the conditional expression succeeds. For example, if the PassengerCount (entity) greater than (operator) 5 (specified value), Then go to Offers (sub-dialog).
    4. In the Else drop-down list, select the node to execute if the condition fails.
      Note: If you want to write multiple If conditions, click Add Else If below the last If conditional expression.

     

Instance Properties

Instance Properties include the settings for this instance of the dialog.

  1. Click the Instance Properties tab on the Dialog window.
  2. In the Entity Pre-Assignments section, you can pre-assign values from this session or node data to the entities required by the Dialog Task. Any remaining required values are handled by the sub-intent.  (see below for details)
    If you want to reset the values, you need to use the keyword “null”, spaces would be ignored by the platform.
  3. In the Entity Post-Assignments section, it displays a list of entities available in the current task with an option to add custom variables. These entities are assigned with values from the linked dialogs session data. For example, context.entities.lists the entities from the linked sub-dialog for selection. The values are assigned once the linked dialog execution is complete.
    NOTE: This option is available only if the Transition Options is set to return to the current node on task completion.
    Currently, there is a limitation when using URL entity types. URL values with http as opposed to https or without the www suffix will not work.
    If you want to reset the values, you need to use the keyword “null”, spaces would be ignored by the platform.
  4. In the Transition Options section, you can define the flow to be followed once the task completes. You can choose from two options:
    • Return to the current node on task completion.
    • End the current task and initiate this task.
  5. Click Advanced Controls to set up the below-listed options:
    • Interruptions Behavior
      • Use the task level ‘Interruptions Behavior’ Setting: The bot refers to the Interruptions Behavior settings set at the dialog task level.
      • Customize for this node: You can customize the Interruptions Behavior settings for this node by selecting this option and configuring the same. Read the Interruption Handling and Context Switching article for more information.
    • Custom Tags defines tags to build custom profiles of your VA conversations. See here for more.

     

About Entity Pre-Assignments

You can pre-populate data for the destination dialog task by:

  • Adding values to the entity keys.
  • Adding additional custom keys and values to pass data from the current dialog task Context object to the destination dialog task as needed.

By default, entity nodes defined in the target dialog task are displayed as key/value pairs. You can then define values for associated entities or add custom keys and values as needed using session and context variables.

Transitioning from the source dialog task to the destination dialog task occurs at the runtime when the user input matches one of any linked dialog tasks. When you map more than one dialog task, you can define which dialog tasks are displayed to the end-users using conditional transitions.

When you call another dialog task, you want to carry information from the first dialog task to the next dialog task. For example, customer information collected in a Book a Flight dialog task is passed to the Book a Hotel dialog task.

In the Kore.ai XO Platform, you can use the mappedIntents variable in the Context object which holds the reference of the intent nodes as well as the context of the source dialog task as shown in the following JSON syntax:
{ 'title': 'title of the link', 'link':' url for the link' ,'postbackpayload': 'system generated payload'}
For example, a link to GetEmail in the Context object can be:

{
   "title":"GetEmail",
   "link":"https://app.collab.ai/wf/1.1/market/users/bots/st-bb1eb3da-cfa7-5244-b241-b5042d333e76/dialogue/dg-15fd2927-219c-5795-b038-5b830718bea7/execute?nodeId=message2&contextId=dcx-f9bae173-4d69-53e4-9aa7-21e89aae776d&intent=GetEmail",
   "postbackpayload":"MappedDialog_dc-f7b42932-dc06-53ac-92c0-1db706794f91_dg-15fd2927-219c-5795-b038-5b830718bea7_dcx-f9bae173-4d69-53e4-9aa7-21e89aae776d"
}

You can access and present these variables in a prompt message to a user to display a list of mapped dialog tasks with the link, or as a list of choices. You can pass the source dialog context to the target dialog task even if the source dialog task is no longer actively using the Context object.

The value for the postbackpayload key is generated by the platform and is used in some channels, such as Facebook and Slack, which defines when a link or choice is made for a target dialog task.

For more information, refer to Using Session and Context Variables in Tasks and the Context Object.

Menu