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. Integrations
  2. Configuring the Anthropic Connector

Configuring the Anthropic Connector

Anthropic Claude-1 and Claude-Instant 1 are advanced language models designed to assist developers in generating high-quality text. Developed by AI researchers, these models provide a strong foundation for natural language understanding and generation, enabling innovative applications and advancements in AI language technology.

The XO Platform lets you easily connect with the Anthropic Claude-1 and Claude-Instant 1 models to leverage their capabilities and safety across various LLM features supported on the XO Platform. Learn more about Anthropic models.

This article explains how to enable the models for the following LLM features currently supported on the XO Platform:

To make the integration process smoother for developers and customers, the Kore.ai XO Platform supports authorization via API Key for Anthropic models. Learn more.

Anthropic Integration Setup

Prerequisites:

Before setting up the Anthropic Model, please complete the following prerequisites:

  1. If you already have an Anthropic developer account, log in by providing your credentials. Otherwise, sign up by following the steps below:
  • Send a developer account sign-up request by filling out a form here.
  • Once you receive an email confirmation from Anthropic, click the activation link to access your account. Please note down your credentials once your account is created.
  1. To generate an API Key, visit this link. Copy the API Key of your Anthropic account and keep it for future use to enable the integration. To generate the API key, follow the steps below:
  • Log in to the web console using your email and password.
  • Navigate to the Account Settings section and click Generate API Keys.
  • Click Create Key.
  • Click the Copy icon. The API key will be your access credential to utilize the Claude API in your applications.
  1. Configure the Anthropic connector under Integration Setup.

Once you have created an Anthropic AI service and copied the required credentials, you can enable the integration.

Important: Access to Anthropic’s API keys is restricted to the users who are members of an organization that has previously registered and been approved for access to Anthropic’s Claude 1 models. Registration is a prerequisite for API key usage.

Steps to Configure the Anthropic Connector

  1. Go to Build > Natural Language > Advanced NLU Settings.
  2. Click Configure Now for the Anthropic connector under Integration Setup.
  3. In the resulting window, click the Authorization tab.
  4. Provide the API Key (The secret API key of your Anthropic AI service, which you copied in Step 2 under Prerequisites) required to connect to the Virtual Assistant and access the external services securely.

Note: The XO Platform uses the configured API Key to authorize via a test API call and generate the suggestions from Anthropic.

  1. Provide your consent to enable the Integration after reading the policy guidelines.
  2. Click Save.

The integration status changes from Configure Now to X/Y models configured, where X is the number of models configured, and Y is the number of models available.


The following LLM features are available by default for Anthropic Claude-1 and Anthropic Claude-Instant-1. They automatically change to Active state once the model is configured. The features not available remain in the Inactive state.

Supported Features

The following features are currently supported on the XO Platform for Anthropic-Claude 1 LLM Model:

Automatic Dialog Generation

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can configure Anthropic-Claude-1 or Anthropic-Clause-Instant-1 for this feature along with the Advanced Settings. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic-Clause-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Conversational Skills > Dialog Tasks.
  2. On the Dialog Tasks panel, click Create Dialog to create a new task.
  3. In the Create Dialog window, provide the Intent Name, Description, and utterance for intent training.
  4. Enable Conversation Driven Dialog Builder.
  5. Click Proceed.

    The system redirects to the Build section of the Dialog Builder.
  6. In the Conversation Preview window, click and expand the Advanced Settings section.
  7. Select Anthropic-Claude-1 or Anthropic-Claude-Instant-1 from the Model dropdown.
  8. (Optional) Add System Context text, and change the Temperature (default is set to 0.5) and Max Tokens (default is set to 2500)  limits, if required.
  9. Click Generate.
  10. Wait a few moments until the Platform generates dialog flows for your specified intents using the selected Anthropic Claude model. When done, you see a mock conversation based on which dialog flows will be generated afterward. You can preview the conversation flow, view the Bot Actions taken, improvise the intent description, and Regenerate the conversation if needed.
  11. Click Generate Dialog Task when the mock conversation looks good.
  12. Once you generate the Dialog Task, the canvas is populated with nodes corresponding to the mock conversation. You can customize the flow per your requirements by editing the generated nodes and adding your own. You can configure the generated Dialog Tasks just like any other dialog task.

Conversation Test Cases Suggestions

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Advanced Settings

Please refer to this link for more information on the Advanced Settings available for this feature.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Testing > Conversation Testing.
  2. Click on an existing test suite listed on the page or create a new test suite.
  3. In the chat window, click the Settings icon for Suggestions: User Input.
  4. Change the required settings in the Advanced Settings window where Anthropic-Claude-1/Anthropic Claude-Instant-1 is your default selection.
  5. Click Save.
  6. Select an intent listed on the chat window.

Anthropic-Claude-1/Anthropic Claude-Instant-1 model generates the best alternative suggestions for the intent, as shown below:

GenAI Prompt

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1 model in action, follow the steps below:

  1. Navigate to Build > Conversational Skills > Dialog Tasks.
  2. On the Dialog Tasks panel, click the Dialog Task you want to configure.
  3. On the Dialog Flow Builder window, in the Build section, drag and drop the GenAI Prompt node from the left menu onto the canvas. If a GenAI Prompt node already exists, click it.
  4. On the Component Properties panel, General Settings section, type the prompt text you want to include in the dialog flow.
  5. Scroll down to the Advanced Settings section, expand the window and select Anthropic-Claude-1 or Anthropic-Claude-Instant-1 in the Model dropdown.
  6. (Optional) Add System Context text, change the Temperature (default is set to 0.5) and Max Tokens (default is set to 2500)  limits, if required.
  7. Click the Preview Response link for the selected model to generate the prompt preview.

    The selected Anthropic model generates an enhanced and context-specific prompt for the dialog flow.

NLP Batch Test Cases Suggestions

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic-Clause-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Testing > Batch Testing.
  2. Click Manage for the desired Utterance on the list.
  3. Click Generate Test Case on the Details page.
  4. Type or select the intent from the List.
  5. Under Settings, select the scenarios.
  6. Under Advanced Settings, select Anthropic-Claude-1/Anthropic-Clause-Instant-1 for Model.
  7. Set the Temperature and Max Tokens values.
  8. Click Generate.

The system generates test cases based on the selected Anthropic model. You can delete test cases if required or generate more test cases.

  1. Click Add Test Cases to add the suggestions to the test suite.

Rephrase Dialog Responses

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Conversational Skills > Dialog Tasks.
  2. Click the desired dialog task on the list.

  1. Click the desired Entity or Message node.
  2. Scroll down to Bot Responses and add your response.
  3. Enable Rephrase Responses.

  1. Select Anthropic-Claude-1/Anthropic Claude-Instant-1 for Model under Advanced Settings.
  2. Configure the values for No. of previous user inputs, Temperature, and Max Tokens in the Advanced Settings section.
  3. In the chat window, the Bot Response you’ve added in the previous step is rephrased by the Bot, as shown below.

To learn about other LLM and Generative AI features, click here.

Training Utterance Suggestions

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Natural Language > Training.
  2. Click the desired Intent.

  1. In the Utterances section, add a new utterance if required. Otherwise, click the Settings icon in the Suggestions window.
  1. Change the required settings in the Advanced Settings window where Anthropic-Claude-1/Anthropic Claude-Instant-1 is the default selection.
  2. Click Save.
  3. Click Generate in the Suggestions window.

The Anthropic-Claude-1 model generates the best alternative suggestions for your utterance, as shown below:

You can either add all the suggestions, generate more suggestions, accept individual suggestions, or delete a suggestion as required. All the added suggestions are listed under Utterances.

Repeat Responses

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Follow the steps under Enabling the Repeat Bot Response Event on this page to configure the event.

Note: Enable the option if the Repeat Bot Response Event is already configured on the Events page.

  1. To enable an Anthropic model, select Auto-generate Response in the Event Configuration section of the Repeat Bot Response Event window.
  2. Select Anthropic-Claude-1 or Anthropic-Claude-Instant-1 in the Model dropdown.
  3. (Optional) Change the Temperature (default is set to 0.9) and Max Tokens (default is set to 2068) limits, if required.
  4. Click Save.

    The selected Anthropic LLM Model enhances the repeat response from the VA triggered by the event during a live conversation on the selected voice channel.

Configuring the Anthropic Connector

Anthropic Claude-1 and Claude-Instant 1 are advanced language models designed to assist developers in generating high-quality text. Developed by AI researchers, these models provide a strong foundation for natural language understanding and generation, enabling innovative applications and advancements in AI language technology.

The XO Platform lets you easily connect with the Anthropic Claude-1 and Claude-Instant 1 models to leverage their capabilities and safety across various LLM features supported on the XO Platform. Learn more about Anthropic models.

This article explains how to enable the models for the following LLM features currently supported on the XO Platform:

To make the integration process smoother for developers and customers, the Kore.ai XO Platform supports authorization via API Key for Anthropic models. Learn more.

Anthropic Integration Setup

Prerequisites:

Before setting up the Anthropic Model, please complete the following prerequisites:

  1. If you already have an Anthropic developer account, log in by providing your credentials. Otherwise, sign up by following the steps below:
  • Send a developer account sign-up request by filling out a form here.
  • Once you receive an email confirmation from Anthropic, click the activation link to access your account. Please note down your credentials once your account is created.
  1. To generate an API Key, visit this link. Copy the API Key of your Anthropic account and keep it for future use to enable the integration. To generate the API key, follow the steps below:
  • Log in to the web console using your email and password.
  • Navigate to the Account Settings section and click Generate API Keys.
  • Click Create Key.
  • Click the Copy icon. The API key will be your access credential to utilize the Claude API in your applications.
  1. Configure the Anthropic connector under Integration Setup.

Once you have created an Anthropic AI service and copied the required credentials, you can enable the integration.

Important: Access to Anthropic’s API keys is restricted to the users who are members of an organization that has previously registered and been approved for access to Anthropic’s Claude 1 models. Registration is a prerequisite for API key usage.

Steps to Configure the Anthropic Connector

  1. Go to Build > Natural Language > Advanced NLU Settings.
  2. Click Configure Now for the Anthropic connector under Integration Setup.
  3. In the resulting window, click the Authorization tab.
  4. Provide the API Key (The secret API key of your Anthropic AI service, which you copied in Step 2 under Prerequisites) required to connect to the Virtual Assistant and access the external services securely.

Note: The XO Platform uses the configured API Key to authorize via a test API call and generate the suggestions from Anthropic.

  1. Provide your consent to enable the Integration after reading the policy guidelines.
  2. Click Save.

The integration status changes from Configure Now to X/Y models configured, where X is the number of models configured, and Y is the number of models available.


The following LLM features are available by default for Anthropic Claude-1 and Anthropic Claude-Instant-1. They automatically change to Active state once the model is configured. The features not available remain in the Inactive state.

Supported Features

The following features are currently supported on the XO Platform for Anthropic-Claude 1 LLM Model:

Automatic Dialog Generation

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can configure Anthropic-Claude-1 or Anthropic-Clause-Instant-1 for this feature along with the Advanced Settings. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic-Clause-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Conversational Skills > Dialog Tasks.
  2. On the Dialog Tasks panel, click Create Dialog to create a new task.
  3. In the Create Dialog window, provide the Intent Name, Description, and utterance for intent training.
  4. Enable Conversation Driven Dialog Builder.
  5. Click Proceed.

    The system redirects to the Build section of the Dialog Builder.
  6. In the Conversation Preview window, click and expand the Advanced Settings section.
  7. Select Anthropic-Claude-1 or Anthropic-Claude-Instant-1 from the Model dropdown.
  8. (Optional) Add System Context text, and change the Temperature (default is set to 0.5) and Max Tokens (default is set to 2500)  limits, if required.
  9. Click Generate.
  10. Wait a few moments until the Platform generates dialog flows for your specified intents using the selected Anthropic Claude model. When done, you see a mock conversation based on which dialog flows will be generated afterward. You can preview the conversation flow, view the Bot Actions taken, improvise the intent description, and Regenerate the conversation if needed.
  11. Click Generate Dialog Task when the mock conversation looks good.
  12. Once you generate the Dialog Task, the canvas is populated with nodes corresponding to the mock conversation. You can customize the flow per your requirements by editing the generated nodes and adding your own. You can configure the generated Dialog Tasks just like any other dialog task.

Conversation Test Cases Suggestions

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Advanced Settings

Please refer to this link for more information on the Advanced Settings available for this feature.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Testing > Conversation Testing.
  2. Click on an existing test suite listed on the page or create a new test suite.
  3. In the chat window, click the Settings icon for Suggestions: User Input.
  4. Change the required settings in the Advanced Settings window where Anthropic-Claude-1/Anthropic Claude-Instant-1 is your default selection.
  5. Click Save.
  6. Select an intent listed on the chat window.

Anthropic-Claude-1/Anthropic Claude-Instant-1 model generates the best alternative suggestions for the intent, as shown below:

GenAI Prompt

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1 model in action, follow the steps below:

  1. Navigate to Build > Conversational Skills > Dialog Tasks.
  2. On the Dialog Tasks panel, click the Dialog Task you want to configure.
  3. On the Dialog Flow Builder window, in the Build section, drag and drop the GenAI Prompt node from the left menu onto the canvas. If a GenAI Prompt node already exists, click it.
  4. On the Component Properties panel, General Settings section, type the prompt text you want to include in the dialog flow.
  5. Scroll down to the Advanced Settings section, expand the window and select Anthropic-Claude-1 or Anthropic-Claude-Instant-1 in the Model dropdown.
  6. (Optional) Add System Context text, change the Temperature (default is set to 0.5) and Max Tokens (default is set to 2500)  limits, if required.
  7. Click the Preview Response link for the selected model to generate the prompt preview.

    The selected Anthropic model generates an enhanced and context-specific prompt for the dialog flow.

NLP Batch Test Cases Suggestions

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic-Clause-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Testing > Batch Testing.
  2. Click Manage for the desired Utterance on the list.
  3. Click Generate Test Case on the Details page.
  4. Type or select the intent from the List.
  5. Under Settings, select the scenarios.
  6. Under Advanced Settings, select Anthropic-Claude-1/Anthropic-Clause-Instant-1 for Model.
  7. Set the Temperature and Max Tokens values.
  8. Click Generate.

The system generates test cases based on the selected Anthropic model. You can delete test cases if required or generate more test cases.

  1. Click Add Test Cases to add the suggestions to the test suite.

Rephrase Dialog Responses

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Conversational Skills > Dialog Tasks.
  2. Click the desired dialog task on the list.

  1. Click the desired Entity or Message node.
  2. Scroll down to Bot Responses and add your response.
  3. Enable Rephrase Responses.

  1. Select Anthropic-Claude-1/Anthropic Claude-Instant-1 for Model under Advanced Settings.
  2. Configure the values for No. of previous user inputs, Temperature, and Max Tokens in the Advanced Settings section.
  3. In the chat window, the Bot Response you’ve added in the previous step is rephrased by the Bot, as shown below.

To learn about other LLM and Generative AI features, click here.

Training Utterance Suggestions

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Navigate to Build > Natural Language > Training.
  2. Click the desired Intent.

  1. In the Utterances section, add a new utterance if required. Otherwise, click the Settings icon in the Suggestions window.
  1. Change the required settings in the Advanced Settings window where Anthropic-Claude-1/Anthropic Claude-Instant-1 is the default selection.
  2. Click Save.
  3. Click Generate in the Suggestions window.

The Anthropic-Claude-1 model generates the best alternative suggestions for your utterance, as shown below:

You can either add all the suggestions, generate more suggestions, accept individual suggestions, or delete a suggestion as required. All the added suggestions are listed under Utterances.

Repeat Responses

Please refer here for feature details and its usage.

Once the Anthropic connector is set up, you can select the model for this feature and tweak the model’s Advanced Settings if required. Learn more.

Anthropic in Action

To see the Anthropic-Claude-1/Anthropic Claude-Instant-1 model in action, follow the steps below:

  1. Follow the steps under Enabling the Repeat Bot Response Event on this page to configure the event.

Note: Enable the option if the Repeat Bot Response Event is already configured on the Events page.

  1. To enable an Anthropic model, select Auto-generate Response in the Event Configuration section of the Repeat Bot Response Event window.
  2. Select Anthropic-Claude-1 or Anthropic-Claude-Instant-1 in the Model dropdown.
  3. (Optional) Change the Temperature (default is set to 0.9) and Max Tokens (default is set to 2068) limits, if required.
  4. Click Save.

    The selected Anthropic LLM Model enhances the repeat response from the VA triggered by the event during a live conversation on the selected voice channel.
메뉴