| Field | Value |
|---|---|
| Method | POST |
| Endpoint | https://{{host}}/api/public/bot/{{BotID}}/mlimport |
| Content Type | application/json |
| Authorization | auth: {{JWT}} See How to generate the JWT Token. |
| API Scope | App Builder: Utterances Import; Admin Console: Test > Utterances Import and Train |
Query Parameters
| Parameter | Description | Required |
|---|---|---|
host | The environment URL. For example, https://platform.kore.ai | Required |
BotId | Bot ID or Stream ID can be accessed under General Settings on the App Builder. | Required |
Sample Request
curl -X POST 'https://{{host}}/api/public/bot/{{bot ID}}/mlimport' \
-H 'auth: {{YOUR_JWT_ACCESS_TOKEN}}' \
-H 'content-type: application/json' \
-d '{
"fileName":"MLUtterances.json",
"fileId": "5beed4fd0b9a4b740c09dca2"
}'
Body Parameters
| Parameter | Description | Required |
|---|---|---|
fileName | The full name of the ML Utterances file to be imported. | Required |
fileID | The ID of the imported file (provided by the cloud service where the file is uploaded). | Required |
Sample Response
{
"status": "pending",
"streamId": "sx-6exxxxxx-5xx1-5xx0-b9xx-8cxxxxxxxxxx",
"createdBy": "u-5dxxxxxxxxxxx-5xx0-a3xx-2exxxxxxxxxx",
"requestType": "MLimport",
"_id": "bxx-7exxxxxx-5xxb-51xx-bxx5-88xxxxxxxxxx",
"statusLogs": [],
"createdOn": "2019-06-27T12:03:30.748Z",
"__v": 0
}