update_instance_attribute async ¶

async def update_instance_attribute(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    attribute_type: "capo_connect.types.instance_attribute_type.InstanceAttributeType",
    value: "capo_connect.types.instance_attribute_value.InstanceAttributeValue",
    *,
    config_overrides: Optional[AsyncConnectClientConfig] = None,
    client_token: Optional["capo_connect.types.client_token.ClientToken"] = None,
) -> None:
    """<p>This API is in preview release for Connect Customer and is subject to change.</p> <p>Updates the value for the specified attribute type.</p>

    Args:
        instance_id: <p>The identifier of the Connect Customer instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
        attribute_type: <p>The type of attribute.</p> <note> <p>Only allowlisted customers can consume USE_CUSTOM_TTS_VOICES. To access this feature, contact Amazon Web Services Support for allowlisting.</p> </note> <note> <p>If you set the attribute type as <code>MESSAGE_STREAMING</code>, you need to update the Lex bot alias resource based policy to include the <code>lex:RecognizeMessageAsync</code> action for the connect instance ARN resource.</p> </note> <note> <p>If you set the attribute type <code>AUTO_MUTE_AGENT_ON_HOLD</code> to <code>true</code>, the system automatically mutes agents while they're on hold and unmutes them when they resume the contact. Agents can't change their mute state while on hold.</p> </note>
        value: <p>The value for the attribute. Maximum character limit is 100. </p>
        client_token: <p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. If not provided, the Amazon Web Services SDK populates this field. For more information about idempotency, see <a href="https://aws.amazon.com/builders-library/making-retries-safe-with-idempotent-APIs/">Making retries safe with idempotent APIs</a>.</p>

    Raises:
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_connect.types.update_instance_attribute_request.UpdateInstanceAttributeRequest]",
    ) -> AsyncOperationResponse[None]:
        import capo_connect._operations.amazon_connect_service.update_instance_attribute

        (
            output,
            http_response,
        ) = await capo_connect._operations.amazon_connect_service.update_instance_attribute.async_update_instance_attribute(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateInstanceAttribute")
    )
    input_: capo_connect.types.update_instance_attribute_request.UpdateInstanceAttributeRequest = {
        "instance_id": instance_id,
        "attribute_type": attribute_type,
        "value": value,
    }
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output