/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.augmentedairuntime; import javax.annotation.Generated; import com.amazonaws.*; import com.amazonaws.regions.*; import com.amazonaws.services.augmentedairuntime.model.*; /** * Interface for accessing Amazon Augmented AI Runtime. *
* Note: Do not directly implement this interface, new methods are added to it regularly. Extend from * {@link com.amazonaws.services.augmentedairuntime.AbstractAmazonAugmentedAIRuntime} instead. *
**
* Amazon Augmented AI (Amazon A2I) adds the benefit of human judgment to any machine learning application. When an AI * application can't evaluate data with a high degree of confidence, human reviewers can take over. This human review is * called a human review workflow. To create and start a human review workflow, you need three resources: a worker * task template, a flow definition, and a human loop. *
** For information about these resources and prerequisites for using Amazon A2I, see Get Started with Amazon Augmented * AI in the Amazon SageMaker Developer Guide. *
** This API reference includes information about API actions and data types that you can use to interact with Amazon A2I * programmatically. Use this guide to: *
*
* Start a human loop with the StartHumanLoop
operation when using Amazon A2I with a custom task
* type. To learn more about the difference between custom and built-in task types, see Use Task Types . To learn how
* to start a human loop using this API, see Create and Start a Human Loop for a Custom Task Type in the Amazon SageMaker Developer Guide.
*
* Manage your human loops. You can list all human loops that you have created, describe individual human loops, and * stop and delete human loops. To learn more, see Monitor and Manage Your * Human Loop in the Amazon SageMaker Developer Guide. *
** Amazon A2I integrates APIs from various AWS services to create and start human review workflows for those services. * To learn how Amazon A2I uses these APIs, see Use APIs in Amazon A2I in the * Amazon SageMaker Developer Guide. *
*/ @Generated("com.amazonaws:aws-java-sdk-code-generator") public interface AmazonAugmentedAIRuntime { /** * The region metadata service name for computing region endpoints. You can use this value to retrieve metadata * (such as supported regions) of the service. * * @see RegionUtils#getRegionsForService(String) */ String ENDPOINT_PREFIX = "a2i-runtime.sagemaker"; /** ** Deletes the specified human loop for a flow definition. *
*
* If the human loop was deleted, this operation will return a ResourceNotFoundException
.
*
* Returns information about the specified human loop. If the human loop was deleted, this operation will return a
* ResourceNotFoundException
error.
*
* Returns information about human loops, given the specified parameters. If a human loop was deleted, it will not * be included. *
* * @param listHumanLoopsRequest * @return Result of the ListHumanLoops operation returned by the service. * @throws ValidationException * The request isn't valid. Check the syntax and try again. * @throws ResourceNotFoundException * We couldn't find the requested resource. Check that your resources exists and were created in the same * AWS Region as your request, and try your request again. * @throws ThrottlingException * You exceeded the maximum number of requests. * @throws InternalServerException * We couldn't process your request because of an issue with the server. Try again later. * @sample AmazonAugmentedAIRuntime.ListHumanLoops * @see AWS API Documentation */ ListHumanLoopsResult listHumanLoops(ListHumanLoopsRequest listHumanLoopsRequest); /** ** Starts a human loop, provided that at least one activation condition is met. *
* * @param startHumanLoopRequest * @return Result of the StartHumanLoop operation returned by the service. * @throws ValidationException * The request isn't valid. Check the syntax and try again. * @throws ThrottlingException * You exceeded the maximum number of requests. * @throws ServiceQuotaExceededException * You exceeded your service quota. Service quotas, also referred to as limits, are the maximum number of * service resources or operations for your AWS account. For a list of Amazon A2I service quotes, see Amazon Augmented AI Service Quotes. * Delete some resources or request an increase in your service quota. You can request a quota increase * using Service Quotas or the AWS Support Center. To request an increase, see AWS Service Quotas in * the AWS General Reference. * @throws InternalServerException * We couldn't process your request because of an issue with the server. Try again later. * @throws ConflictException * Your request has the same name as another active human loop but has different input data. You cannot * start two human loops with the same name and different input data. * @sample AmazonAugmentedAIRuntime.StartHumanLoop * @see AWS API Documentation */ StartHumanLoopResult startHumanLoop(StartHumanLoopRequest startHumanLoopRequest); /** ** Stops the specified human loop. *
* * @param stopHumanLoopRequest * @return Result of the StopHumanLoop operation returned by the service. * @throws ValidationException * The request isn't valid. Check the syntax and try again. * @throws ResourceNotFoundException * We couldn't find the requested resource. Check that your resources exists and were created in the same * AWS Region as your request, and try your request again. * @throws ThrottlingException * You exceeded the maximum number of requests. * @throws InternalServerException * We couldn't process your request because of an issue with the server. Try again later. * @sample AmazonAugmentedAIRuntime.StopHumanLoop * @see AWS API Documentation */ StopHumanLoopResult stopHumanLoop(StopHumanLoopRequest stopHumanLoopRequest); /** * Shuts down this client object, releasing any resources that might be held open. This is an optional method, and * callers are not expected to call it, but can if they want to explicitly release any open resources. Once a client * has been shutdown, it should not be used to make any more requests. */ void shutdown(); /** * Returns additional metadata for a previously executed successful request, typically used for debugging issues * where a service isn't acting as expected. This data isn't considered part of the result data returned by an * operation, so it's available through this separate, diagnostic interface. ** Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic * information for an executed request, you should use this method to retrieve it as soon as possible after * executing a request. * * @param request * The originally executed request. * * @return The response metadata for the specified request, or null if none is available. */ ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request); }