---
title: "Kore AI"
slug: "dataflow-nodes-kore-ai"
updated: 2026-03-27T11:56:10Z
published: 2026-03-27T11:56:10Z
canonical: "docs.knovvu.com/dataflow-nodes-kore-ai"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.knovvu.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Kore AI

Kore AI integration node. Uses V1.1 WebSocket API

## Parameters

| name | description | default |
| --- | --- | --- |
| Address | Address Of The Kore AI Service | wss://uat-platform.korebots.com/ |
| Credential | API Key Credential that is in JWT format. | empty |
| Ignore SSL Errors | Ignore SSL Errors, only useful for testing purposes. | False |
| Bot ID | Bot ID taken from the Kore AI interface. | empty |

## Inputs

### Audio

None

### Events

| name | description | known nodes that generate this event |
| --- | --- | --- |
| Every Event that Contains the `Data.Text` field | Used for sending transcripts to Kore AI for analysis and guidance. | [SR Http](/v1/docs/dataflow-nodes-speech-recognition-sr-http), [SR WebSocket](/v1/docs/dataflow-nodes-speech-recognition-sr-websocket), [Translate](/v1/docs/dataflow-nodes-translate) |

## Outputs

### Audio

None

### Events

| name | description |
| --- | --- |
| [Kore AI Response](/v1/docs/events#kore-ai-response) | This event is sent whenever Kore AI Acknowledges an incoming text. |

## Remarks

### Requirements

- A Kore Public API app needs to be created first. Please refer to the official [Public API](https://developer.kore.ai/docs/bots/api-guide/apis/) documentations for detailed steps.
- An App with the scope “AgentAssist Transcriptions” must be created.
- A JWT Token must be created using the Kore AI [JWT Tool](https://developer.kore.ai/tools/jwt/) according to the documentation above.
- The token created should be added as an API Key credential in Data Flow.

### Project Structure

The Kore AI Node needs a [Channel Switch](/v1/docs/dataflow-nodes-channel-switch) node for determining which channel is the agent and which one is customer. Also an [SR node](/v1/docs/dataflow-nodes-speech-recognition-sr-http) for each channel for transcripts. ![Image](https://cdn.document360.io/9bca2910-6a3b-4224-9470-43f91f9a6d57/Images/Documentation/image-VPI21GTP.png)

### Supported flow types

Stream, Batch

## Release Notes

 
    

****v4.11.0****

      
          

- Introduced Node That uses API v1.1
