AssociateDefaultVocabulary - Amazon Connect

AssociateDefaultVocabulary

Associates an existing vocabulary as the default. Contact Lens for Amazon Connect uses the vocabulary in post-call and real-time analysis sessions for the given language.

Request Syntax

PUT /default-vocabulary/InstanceId/LanguageCode HTTP/1.1 Content-type: application/json { "VocabularyId": "string" }

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

LanguageCode

The language code of the vocabulary entries. For a list of languages and their corresponding language codes, see What is Amazon Transcribe?

Valid Values: ar-AE | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fr-CA | fr-FR | hi-IN | it-IT | ja-JP | ko-KR | pt-BR | pt-PT | zh-CN

Required: Yes

Request Body

The request accepts the following data in JSON format.

VocabularyId

The identifier of the custom vocabulary. If this is empty, the default is set to none.

Type: String

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

Required: No

Response Syntax

HTTP/1.1 200

Response Elements

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

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

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: