@aws-sdk/client-sagemaker-a2i-runtime

Description

AWS SDK for JavaScript SageMakerA2IRuntime Client for Node.js, Browser and React Native.

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.

Installing

To install this package, use the CLI of your favorite package manager:

• npm install @aws-sdk/client-sagemaker-a2i-runtime
• yarn add @aws-sdk/client-sagemaker-a2i-runtime
• pnpm add @aws-sdk/client-sagemaker-a2i-runtime

Getting Started

Import

The AWS SDK is modulized by clients and commands. To send a request, you only need to import the SageMakerA2IRuntimeClient and the commands you need, for example ListHumanLoopsCommand:

// ES5 example
const { SageMakerA2IRuntimeClient, ListHumanLoopsCommand } = require("@aws-sdk/client-sagemaker-a2i-runtime");

// ES6+ example
import { SageMakerA2IRuntimeClient, ListHumanLoopsCommand } from "@aws-sdk/client-sagemaker-a2i-runtime";

Usage

To send a request:

• Instantiate a client with configuration (e.g. credentials, region).
  • See docs/CLIENTS for configuration details.
  • See @aws-sdk/config for additional options.
• Instantiate a command with input parameters.
• Call the send operation on the client, providing the command object as input.

const client = new SageMakerA2IRuntimeClient({ region: "REGION" });

const params = { /** input parameters */ };
const command = new ListHumanLoopsCommand(params);

Async/await

We recommend using the await operator to wait for the promise returned by send operation as follows:

// async/await.
try {
  const data = await client.send(command);
  // process data.
} catch (error) {
  // error handling.
} finally {
  // finally.
}

Promises

You can also use Promise chaining.

client
  .send(command)
  .then((data) => {
    // process data.
  })
  .catch((error) => {
    // error handling.
  })
  .finally(() => {
    // finally.
  });

Aggregated client

The aggregated client class is exported from the same package, but without the "Client" suffix.

SageMakerA2IRuntime extends SageMakerA2IRuntimeClient and additionally supports all operations, waiters, and paginators as methods. This style may be familiar to you from the AWS SDK for JavaScript v2.

If you are bundling the AWS SDK, we recommend using only the bare-bones client (SageMakerA2IRuntimeClient). More details are in the blog post on modular packages in AWS SDK for JavaScript.

import { SageMakerA2IRuntime } from "@aws-sdk/client-sagemaker-a2i-runtime";

const client = new SageMakerA2IRuntime({ region: "REGION" });

// async/await.
try {
  const data = await client.listHumanLoops(params);
  // process data.
} catch (error) {
  // error handling.
}

// Promises.
client
  .listHumanLoops(params)
  .then((data) => {
    // process data.
  })
  .catch((error) => {
    // error handling.
  });

// callbacks (not recommended).
client.listHumanLoops(params, (err, data) => {
  // process err and data.
});

Troubleshooting

When the service returns an exception, the error will include the exception information, as well as response metadata (e.g. request id).

try {
  const data = await client.send(command);
  // process data.
} catch (error) {
  const { requestId, cfId, extendedRequestId } = error.$metadata;
  console.log({ requestId, cfId, extendedRequestId });
  /**
   * The keys within exceptions are also parsed.
   * You can access them by specifying exception names:
   * if (error.name === 'SomeServiceException') {
   *     const value = error.specialKeyInException;
   * }
   */
}

See also docs/ERROR_HANDLING.

Getting Help

Please use these community resources for getting help. We use GitHub issues for tracking bugs and feature requests, but have limited bandwidth to address them.

• Visit the Developer Guide or API Reference.
• Check out the blog posts tagged with aws-sdk-js on AWS Developer Blog.
• Ask a question on StackOverflow and tag it with aws-sdk-js.
• Join the AWS JavaScript community on gitter.
• If it turns out that you may have found a bug, please open an issue.

To test your universal JavaScript code in Node.js, browser and react-native environments, visit our code samples repo.

Contributing

This client code is generated automatically. Any modifications will be overwritten the next time the @aws-sdk/client-sagemaker-a2i-runtime package is updated. To contribute to client you can check our generate clients scripts.

License

This SDK is distributed under the Apache License, Version 2.0, see LICENSE for more information.

Client Commands (Operations List)