GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Help & Learning Resources
Quick Start Guide
Accessing the Platform
Navigating the Kore.ai XO Platform
Building a Virtual Assistant
Using Workspaces
Release Notes
Current Version
Previous Versions
Deprecations
Request a Feature
CONCEPTS
Design
Storyboard
Overview
FAQs
Conversation Designer
Overview
Dialog Tasks
Mock Scenes
Dialog Tasks
Overview
Navigate Dialog Tasks
Build Dialog Tasks
Nodes & Connections
Overview
Node Types
Intent Node
Dialog Node
Entity Node
Entity Rules
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Process Node
Agent Transfer
Node Connections Setup
Context Object
Sub-Intent Scoping
User Prompts
Voice Call Properties
Dialog Task Management
Event Handlers
Supported Entity Types
Supported Company Names
Supported Colors
Knowledge Graph
Introduction
Knowledge Extraction
Build Knowledge Graph
Create Node Structure
Build the Graph
Add FAQs
Add FAQs from an Existing Source
Run a Task
Traits, Synonyms, and Stop Words
Manage Variable Namespaces
Update Knowledge Graph
Introduction
Move Question and Answers Between Nodes
Edit and Delete Terms
Edit Questions and Responses
Knowledge Graph Analysis
Knowledge Graph Import and Export
Prepare Data for Import
From a CSV File
From a JSON File
Importing Knowledge Graph
Exporting Knowledge Graph
Auto-Generate Knowledge Graph
Alert Tasks
Small Talk
Digital Skills
Overview
Digital Forms
Digital Views
Introduction
Widgets
Panels
Train
NLP Optimization
ML Engine
Overview
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
Training Validations
NLP Configurations
NLP Guidelines
Intelligence
Introduction
Default Standard Responses
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Conversation Driven Dialog Builder
Sentinment Management
Tone Analysis
Test & Debug
Overview
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Health and Monitoring
Deploy
Channels
Publishing
Versioning
Analyze
Introduction
Overview Dashboard
Conversations Dashboard
Users Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Custom Meta Tags
Create Custom Dashboard
NLP Insights
Conversations History
Conversation Flows
Analytics Dashboard Filters
Usage Metrics
Containment 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
Get Started
Supported Components & Features
Manage Languages
Manage Translation Services
Multiingual Virtual Assistant Behavior
Masking PII Details
Variables
Collections
IVR Settings
General Settings
Assistant Management
Manage Namespace
Data as Service
Data Table
Table Views
App Definitions
Sharing Data Tables or Views
HOW TOs
Build a Travel Planning Assistant
Travel Assistant Overview
Create a Travel Virtual Assistant
Design Conversation Skills
Create an ‘Update Booking’ Task
Create a Change Flight Task
Build a Knowledge Graph
Schedule a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Train the Assistant
Use Traits
Use Patterns
Manage Context Switching
Deploy the Assistant
Configure Agent Transfer
Use Bot Functions
Use Content Variables
Use Global Variables
Use Web SDK
Build a Banking 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
Composite Entities
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
Intent Scoping using Group Node
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
BotKit SDK Tutorial - Blue Prism
Widget SDK Tutorial
Web SDK Tutorial
ADMINISTRATION
Introduction to 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 & Control
Using Single-Sign On
Security Settings
Cloud Connector
Analytics
Billing
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Test your Bot
  5. Talk to Bot

Talk to Bot

After you have defined your assistant and configured one or more tasks, you should test your settings before you publish your NLP-enabled assistant. Bot owners and developers can chat with the assistant in real-time to test recognition, performance, and flow as if it were a live session.

Testing a Virtual Assistant

To test your tasks in a messaging window, click the Talk to Bot icon located on the lower right corner on the XO Platform.

A messaging window for the assistant is displayed and connected to the NLP interpreter as shown in the following illustration for a Flight Details Assistant .

Note: The Talk to Bot icon is not enabled until and unless at least one task is created.

When you first open the window, the Bot Setup Confirmation Message field definition for the assistant is displayed, if defined. In the Message section, enter text to begin interacting and testing your assistant , for example, Book a flight. The NLP interpreter begins processing the task, verifying authentication with the user and the web service, and then prompting for required task field information. When all the required task fields are collected, it executes the task. While testing your assistant , try different variations of user prompts and ensure the NLP interpreter is processing the synonyms (or lack of synonyms) properly. If the assistant returns unexpected results, consider adding or modifying synonyms for your tasks and task field names as required. For more information, see Natural Language Processing.

Debugging and Troubleshooting

You can open a debug window to view the natural language processing, logs, and session context, and variables of the chat. To open the debug, click the Debug icon   located on the top right-hand side of the Talk to Bot chat window. The Debug window consists of the following tabs: Debug Log, NL Analysis, Session Context & Variables

The Debug window lets you explore the following:

  • NL Analysis: Describes the tasks loading status, and for each utterance presents a task name analysis and recognition scores.
  • Debug Log: Lists the processing or processed Dialog task components along with a date timestamp.
  • Session Context & Variables: Shows both context object and session variables used in the dialog task processing.

Debug Log

Debug Log provides the sequential progression of a dialog task and context and session variables captured at every node. The Debug log supports the following statuses:

  • processing: The XO Platform begins processing of the node
  • processed:  The node and node connections are processed, the following node is found but the dialog has not yet moved to that node.
  • waitingForUserInput: The user was prompted for input
  • pause: The current dialog task is paused while another task is started.
  • resume: The current dialog with paused status continues at the same point in the flow after completion of another task that was started.
  • waitingForServerResponse: The server request is pending an asynchronous response.
  • error: An error occurred, for example, the loop limit is reached, a server or script node execution fails.
  • end: The dialog reached the end of the dialog flow.

NL Analysis

NL Analysis tab shows the task name analysis and recognition scores of each user utterance.  It presents a detailed tone analysis, intent detection, and entity detection performed by the Kore.ai NLP engine. As a part of intent detection, the NL Analysis tab shows the outcomes of Machine Learning, Fundamental Meaning, and Knowledge Graph engines. For a detailed discussion on the scores, see Training Your Assistant topic.

Session Context and Variables

The Session Context & Variables tab displays dynamically the populated Context object and session variables updated at each processed component in Dialog Builder. The following is an example of the Session & Context Variables panel in Debug Log. For more information about the parameters, see Using Session and Context Variables in Tasks and Context Object.

System Commands

System Commands allow you to take control of the user-bot conversation during evaluation. These can also be injected into the assistant using JavaScript code. See here for more.

Record Session

Record option allows you to record conversations to help in regression testing scenarios.

While your recording is in progress, you can see a notification at the top of the chat window. Here is where you will also find a STOP option, which you can click on whenever you want to stop recording. 

Once you stop the recording, you can use the recorded conversation to create a test case, for further conversation testing. Learn more.

After clicking on Create Test Case, you can alternatively download the recorded content as a JSON file.

This is what a short conversation with a Kore.ai assistant might look like: 

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