DeleteVocabulary - Amazon Connect

DeleteVocabulary

Deletes the vocabulary that has the given identifier.

Request Syntax

POST /vocabulary-remove/InstanceId/VocabularyId HTTP/1.1

URI Request Parameters

The request uses the following URI parameters.

InstanceId

The identifier of the Amazon Connect instance. You can find the instanceId in the ARN of the instance.

Length Constraints: Minimum length of 1. Maximum length of 100.

Required: Yes

VocabularyId

The identifier of the custom vocabulary.

Length Constraints: Minimum length of 1. Maximum length of 500.

Required: Yes

Request Body

The request does not have a request body.

Response Syntax

HTTP/1.1 200 Content-type: application/json { "State": "string", "VocabularyArn": "string", "VocabularyId": "string" }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

State

The current state of the custom vocabulary.

Type: String

Valid Values: CREATION_IN_PROGRESS | ACTIVE | CREATION_FAILED | DELETE_IN_PROGRESS

VocabularyArn

The Amazon Resource Name (ARN) of the custom vocabulary.

Type: String

VocabularyId

The identifier of the custom vocabulary.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 500.

Errors

For information about the errors that are common to all actions, see Common Errors.

AccessDeniedException

You do not have sufficient permissions to perform this action.

HTTP Status Code: 403

InternalServiceException

Request processing failed because of an error or failure with the service.

HTTP Status Code: 500

InvalidRequestException

The request is not valid.

HTTP Status Code: 400

ResourceInUseException

That resource is already in use. Please try another.

HTTP Status Code: 409

ResourceNotFoundException

The specified resource was not found.

HTTP Status Code: 404

ThrottlingException

The throttling limit has been exceeded.

HTTP Status Code: 429

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: