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
Record Conversations
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 Management
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. Test your Bot
  5. Talk to Bot

Talk to Bot

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

Testing a Bot

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

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

Note: The Talk to Bot Run Bot Dialog 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 bot is displayed, if defined. In the Message section, enter text to begin interacting and testing your bot, 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 bot, try different variations of user prompts and ensure the NLP interpreter is processing the synonyms (or lack of synonyms) properly. If the bot returns unexpected results, consider adding or modifying synonyms for your tasks and task field names as required. For more information, see Natural Language Processing.

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.

  • NL Analysis: Describes the bot 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 Bots 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 Bot 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 bot using JavaScript code. See here for more.

Record Session

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

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