GETTING STARTED
Kore.ai XO Platform
Virtual Assistants Overview
Natural Language Processing (NLP)
Concepts and Terminology
Quick Start Guide
Accessing the Platform
Navigating the Kore.ai XO Platform
Building a Virtual Assistant
Help & Learning Resources
Release Notes
Current Version
Recent Updates
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
Node Types
Overview
Intent Node
Dialog Node
Dynamic Intent Node
GenAI Node
GenAI Prompt
Entity Node
Form Node
Confirmation Node
Message Nodes
Logic Node
Bot Action Node
Service Node
Webhook Node
Script Node
Process Node
Agent Transfer
Node Connections
Node Connections Setup
Sub-Intent Scoping
Entity Types
Entity Rules
User Prompts or Messages
Voice Call Properties
Knowledge AI
Introduction
Knowledge Graph
Introduction
Terminology
Build a Knowledge Graph
Manage FAQs
Knowledge Extraction
Import or Export Knowledge Graph
Prepare Data for Import
Importing Knowledge Graph
Exporting Knowledge Graph
Auto-Generate Knowledge Graph
Knowledge Graph Analysis
Answer from Documents
Alert Tasks
Small Talk
Digital Skills
Overview
Digital Forms
Digital Views
Introduction
Widgets
Panels
Session and Context Variables
Context Object
Intent Discovery
Train
NLP Optimization
ML Engine
Overview
Model Validation
FM Engine
KG Engine
Traits Engine
Ranking and Resolver
Training Validations
NLP Configurations
NLP Guidelines
LLM and Generative AI
Introduction
LLM Integration
Kore.ai XO GPT Module
Prompts & Requests Library
Co-Pilot Features
Dynamic Conversations Features
Intelligence
Introduction
Event Handlers
Contextual Memory
Contextual Intents
Interruption Management
Multi-intent Detection
Amending Entities
Default Conversations
Conversation Driven Dialog Builder
Sentinment Management
Tone Analysis
Default Standard Responses
Ignore Words & Field Memory
Test & Debug
Overview
Talk to Bot
Utterance Testing
Batch Testing
Conversation Testing
Conversation Testing Overview
Create a Test Suite
Test Editor
Test Case Assertion
Test Case Execution Summary
Glossary
Health and Monitoring
NLP Health
Flow Health
Integrations
Actions
Actions Overview
Asana
Configure
Templates
Azure OpenAI
Configure
Templates
BambooHR
Configure
Templates
Bitly
Configure
Templates
Confluence
Configure
Templates
DHL
Configure
Templates
Freshdesk
Configure
Templates
Freshservice
Configure
Templates
Google Maps
Configure
Templates
Here
Configure
Templates
HubSpot
Configure
Templates
JIRA
Configure
Templates
Microsoft Graph
Configure
Templates
Open AI
Configure
Templates
Salesforce
Configure
Templates
ServiceNow
Configure
Templates
Stripe
Configure
Templates
Shopify
Configure
Templates
Twilio
Configure
Templates
Zendesk
Configure
Templates
Agents
Agent Transfer Overview
Custom (BotKit)
Drift
Genesys
Intercom
NiceInContact
NiceInContact(User Hub)
Salesforce
ServiceNow
Configure Tokyo and Lower versions
Configure Utah and Higher versions
Unblu
External NLU Adapters
Overview
Dialogflow Engine
Test and Debug
Deploy
Channels
Publishing
Versioning
Analyze
Introduction
Dashboard Filters
Overview Dashboard
Conversations Dashboard
Users Dashboard
Performance Dashboard
Custom Dashboards
Introduction
Custom Meta Tags
Create Custom Dashboard
Create Custom Dashboard Filters
LLM and Generative AI Logs
NLP Insights
Task Execution Logs
Conversations History
Conversation Flows
Conversation Insights
Feedback Analytics
Usage Metrics
Containment Metrics
Universal Bots
Introduction
Universal Bot Definition
Universal Bot Creation
Training a Universal Bot
Universal Bot Customizations
Enabling Languages
Store
Manage Assistant
Team Collaboration
Plan & Usage
Overview
Usage Plans
Templates
Support Plans
Invoices
Authorization
Conversation Sessions
Multilingual Virtual Assistants
Get Started
Supported Components & Features
Manage Languages
Manage Translation Services
Multiingual Virtual Assistant Behavior
Feedback Survey
Masking PII Details
Variables
Collections
IVR Settings
General Settings
Assistant Management
Manage Namespace
Data
Overview
Data Table
Table Views
App Definitions
Data as Service
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
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
Migrate External Bots
Google Dialogflow Bot
APIs & SDKs
API Reference
API Introduction
Rate Limits
API List
koreUtil Libraries
SDK Reference
SDK Introduction
Web SDK
How the Web SDK Works
SDK Security
SDK Registration
Web Socket Connect and RTM
Tutorials
Widget SDK Tutorial
Web SDK Tutorial
BotKit SDK
BotKit SDK Deployment Guide
Installing the BotKit SDK
Using the BotKit SDK
SDK Events
SDK Functions
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer
  1. Home
  2. Docs
  3. Virtual Assistants
  4. Natural Language
  5. LLM and Generative AI
  6. LLM Integration

LLM Integration

You must configure the integration with a pre-built or custom LLM or Kore.ai XO GPT Module to use LLM and Generative AI features.

Pre-built LLM Integration

The XO Platform offers seamless integration with leading AI services like Azure OpenAI, OpenAI, and Anthropic. Utilizing pre-configured prompts and APIs, you can effortlessly tap into the core capabilities of these services. Although you can customize certain elements, the overall structure adheres to a standardized format for simplicity. You can quickly realize the potential of LLM with the XO platform’s plug-and-play integration with premium AI services. Along with pre-configured or default prompts, you can craft your own custom prompt optimized for their specific purposes. 

Configure Pre-built LLM Integration

Steps to configure a pre-built LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.

  2. Choose the LLM you want to configure.
    1. Steps to configure Azure OpenAI:
      1. Click Configure Now for Azure OpenAI.

      2. On the Authorization tab, enter the details like API Key and the User Sub Doman. Toggle on the required model and enter Deployment ID.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    2. Steps to configure OpenAI:
      1. Click Configure Now for OpenAI.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    3. Steps to configure Anthropic:
      1. Click Configure Now for Anthropic.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
  3. The configured model is listed in the LLM Integrations section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.
  4. If you want to configure another model, click +New Integration and select the model.
  5. The next step is to enable Co-Pilot and Dynamic Conversations features.

Custom LLM Integration Framework

The XO Platform now enables enterprises to power up their virtual assistants with any Large Language Model (LLM) of their preference. The bring-your-own (BYO) model framework supports integrations with externally hosted models by third parties as well as models hosted by the enterprises themselves. It allows the creation of custom prompts that are optimized for their specific purposes and models. This generic framework works seamlessly with the Auth Profiles module of the platform, enabling enterprises to use the authentication mechanism of their choice.

Note: Generative AI features are available for English and non-English NLU and VA languages on the Kore.ai XO Platform. However, custom LLM-specific features are currently limited to English.

Configure Custom LLM Integration

You can integrate a custom LLM and build your Prompts and Requests Library for specific features.

Steps to integrate a Custom LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Custom LLM.

    If you have already configured a model, click +New Integration > Custom Integration.

  3. On the Configuration tab, enter the details like Integration Name, Model Name, Endpoint, and Headers.

  4. On the Auth tab, select an existing authorization profile from the drop-down or create a new profile  to use for this request. For more information, see the Bot Authorization Overview article.

    Note: OAuth v2.0 and Kerberos SPNEGO auth profiles are supported for the Custom LLM integration.
  5. Click Test. The Request Body to test LLM Connection pop-up is displayed.

  6. Enter the test payload and then click Test to check the connection. If the LLM connection is successful during the test call, it displays a confirmation message. If not, it shows an error message.

  7. Please Read Policy Guidelines, select the check box, and then click Save.
  8. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  9. The next step is to add Prompts.

Kore.ai XO GPT Integration

The new Kore.ai XO GPT Models module provides fine-tuned large language models optimized for enterprise conversational AI applications. These models have been evaluated and fine-tuned to be accurate, safe, and efficient for production deployment. Initial capabilities include Conversation Summarization and User Query Rephrasing. Learn more.

Note: The Kore.ai XO GPT Module is currently available only for English language interactions. The respective models are available only in our global deployment (US Cloud – https://bots.kore.ai).

Enable Kore.ai XO GPT Integration

Steps to enable Kore.ai XO GPT Models.

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Enable Now for Kore.ai XO GPT.

    If you have already configured a model, click +New Integration > Kore.ai XO GPT.
  3. On the Models tab, toggle on the models as required.

  4. Read the Policy Guidelines, select the checkbox, and click Save.
  5. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  6. The next step is to enable Co-Pilot and Dynamic Conversations features.

Reset/Delete the Configured LLM Integration

If not using a configured LLM, you can reset Kore.ai XO GPT and prebuilt integration using the Reset Configuration option. However, you can Delete custom integrations.

When you reset/delete the integration, the system does the following:

  • Removes all the integration details like keys, endpoints, deployment names, etc.
  • The system removes the model from the selection list of supported LLM features and turns off the respective feature. You can select another configured and supported LLM for that feature.
  • Deletes the related Prompts and Responses.
Note: This change impacts only the in-development copy of the VA. The changes will apply to the published version when you later publish the VA with NLP configurations.

Reset Configured Pre-build LLM Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.

Delete Configured Custom LLM Integration

Steps to delete an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click Delete for the integration you want to delete.
  3. Click Delete in the confirmation dialog.

  4. The success message is displayed.

Reset Configured Kore.ai XO GPT Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) for Kore.ai XO GPT and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.

LLM Integration

You must configure the integration with a pre-built or custom LLM or Kore.ai XO GPT Module to use LLM and Generative AI features.

Pre-built LLM Integration

The XO Platform offers seamless integration with leading AI services like Azure OpenAI, OpenAI, and Anthropic. Utilizing pre-configured prompts and APIs, you can effortlessly tap into the core capabilities of these services. Although you can customize certain elements, the overall structure adheres to a standardized format for simplicity. You can quickly realize the potential of LLM with the XO platform’s plug-and-play integration with premium AI services. Along with pre-configured or default prompts, you can craft your own custom prompt optimized for their specific purposes. 

Configure Pre-built LLM Integration

Steps to configure a pre-built LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.

  2. Choose the LLM you want to configure.
    1. Steps to configure Azure OpenAI:
      1. Click Configure Now for Azure OpenAI.

      2. On the Authorization tab, enter the details like API Key and the User Sub Doman. Toggle on the required model and enter Deployment ID.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    2. Steps to configure OpenAI:
      1. Click Configure Now for OpenAI.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
    3. Steps to configure Anthropic:
      1. Click Configure Now for Anthropic.

      2. On the Authorization tab, enter the API Key.
      3. Read the Policy Guidelines, select the checkbox, and click Save.
  3. The configured model is listed in the LLM Integrations section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.
  4. If you want to configure another model, click +New Integration and select the model.
  5. The next step is to enable Co-Pilot and Dynamic Conversations features.

Custom LLM Integration Framework

The XO Platform now enables enterprises to power up their virtual assistants with any Large Language Model (LLM) of their preference. The bring-your-own (BYO) model framework supports integrations with externally hosted models by third parties as well as models hosted by the enterprises themselves. It allows the creation of custom prompts that are optimized for their specific purposes and models. This generic framework works seamlessly with the Auth Profiles module of the platform, enabling enterprises to use the authentication mechanism of their choice.

Note: Generative AI features are available for English and non-English NLU and VA languages on the Kore.ai XO Platform. However, custom LLM-specific features are currently limited to English.

Configure Custom LLM Integration

You can integrate a custom LLM and build your Prompts and Requests Library for specific features.

Steps to integrate a Custom LLM:

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Custom LLM.

    If you have already configured a model, click +New Integration > Custom Integration.

  3. On the Configuration tab, enter the details like Integration Name, Model Name, Endpoint, and Headers.

  4. On the Auth tab, select an existing authorization profile from the drop-down or create a new profile  to use for this request. For more information, see the Bot Authorization Overview article.

    Note: OAuth v2.0 and Kerberos SPNEGO auth profiles are supported for the Custom LLM integration.
  5. Click Test. The Request Body to test LLM Connection pop-up is displayed.

  6. Enter the test payload and then click Test to check the connection. If the LLM connection is successful during the test call, it displays a confirmation message. If not, it shows an error message.

  7. Please Read Policy Guidelines, select the check box, and then click Save.
  8. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  9. The next step is to add Prompts.

Kore.ai XO GPT Integration

The new Kore.ai XO GPT Models module provides fine-tuned large language models optimized for enterprise conversational AI applications. These models have been evaluated and fine-tuned to be accurate, safe, and efficient for production deployment. Initial capabilities include Conversation Summarization and User Query Rephrasing. Learn more.

Note: The Kore.ai XO GPT Module is currently available only for English language interactions. The respective models are available only in our global deployment (US Cloud – https://bots.kore.ai).

Enable Kore.ai XO GPT Integration

Steps to enable Kore.ai XO GPT Models.

  1. Go to Build > Natural Language > Generative AI & LLM > LLM Integrations.
  2. Click Enable Now for Kore.ai XO GPT.

    If you have already configured a model, click +New Integration > Kore.ai XO GPT.
  3. On the Models tab, toggle on the models as required.

  4. Read the Policy Guidelines, select the checkbox, and click Save.
  5. The success confirmation message is displayed on the screen. The configured model is listed in the LLM Integration section. The status changed to X/Y models configured, where X is the number of the model(s) configured, and Y is the number of model(s) supported.

  6. The next step is to enable Co-Pilot and Dynamic Conversations features.

Reset/Delete the Configured LLM Integration

If not using a configured LLM, you can reset Kore.ai XO GPT and prebuilt integration using the Reset Configuration option. However, you can Delete custom integrations.

When you reset/delete the integration, the system does the following:

  • Removes all the integration details like keys, endpoints, deployment names, etc.
  • The system removes the model from the selection list of supported LLM features and turns off the respective feature. You can select another configured and supported LLM for that feature.
  • Deletes the related Prompts and Responses.
Note: This change impacts only the in-development copy of the VA. The changes will apply to the published version when you later publish the VA with NLP configurations.

Reset Configured Pre-build LLM Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.

Delete Configured Custom LLM Integration

Steps to delete an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) and then click Delete for the integration you want to delete.
  3. Click Delete in the confirmation dialog.

  4. The success message is displayed.

Reset Configured Kore.ai XO GPT Integration

Steps to reset an integration:

  1. Go to Build > Natural Language > Generative AI & LLM.
  2. In the LLM Integration section, click three dots (more icons) for Kore.ai XO GPT and then click the Reset Configuration for the integration you want to reset.

  3. Click Reset in the confirmation dialog.

  4. The success message is displayed.
Menu