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Class: AWS.SageMakerRuntime

Inherits:
AWS.Service show all
Identifier:
sagemakerruntime
API Version:
2017-05-13
Defined in:
(unknown)

Overview

Constructs a service interface object. Each API operation is exposed as a function on service.

Service Description

The Amazon SageMaker runtime API.

Sending a Request Using SageMakerRuntime

var sagemakerruntime = new AWS.SageMakerRuntime();
sagemakerruntime.invokeEndpoint(params, function (err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Locking the API Version

In order to ensure that the SageMakerRuntime object uses this specific API, you can construct the object by passing the apiVersion option to the constructor:

var sagemakerruntime = new AWS.SageMakerRuntime({apiVersion: '2017-05-13'});

You can also set the API version globally in AWS.config.apiVersions using the sagemakerruntime service identifier:

AWS.config.apiVersions = {
  sagemakerruntime: '2017-05-13',
  // other service API versions
};

var sagemakerruntime = new AWS.SageMakerRuntime();

Version:

  • 2017-05-13

Constructor Summary collapse

Property Summary collapse

Properties inherited from AWS.Service

apiVersions

Method Summary collapse

Methods inherited from AWS.Service

makeRequest, makeUnauthenticatedRequest, waitFor, setupRequestListeners, defineService

Constructor Details

new AWS.SageMakerRuntime(options = {}) ⇒ Object

Constructs a service object. This object has one method for each API operation.

Examples:

Constructing a SageMakerRuntime object

var sagemakerruntime = new AWS.SageMakerRuntime({apiVersion: '2017-05-13'});

Options Hash (options):

  • params (map) —

    An optional map of parameters to bind to every request sent by this service object. For more information on bound parameters, see "Working with Services" in the Getting Started Guide.

  • endpoint (String|AWS.Endpoint) —

    The endpoint URI to send requests to. The default endpoint is built from the configured region. The endpoint should be a string like 'https://{service}.{region}.amazonaws.com' or an Endpoint object.

  • accessKeyId (String) —

    your AWS access key ID.

  • secretAccessKey (String) —

    your AWS secret access key.

  • sessionToken (AWS.Credentials) —

    the optional AWS session token to sign requests with.

  • credentials (AWS.Credentials) —

    the AWS credentials to sign requests with. You can either specify this object, or specify the accessKeyId and secretAccessKey options directly.

  • credentialProvider (AWS.CredentialProviderChain) —

    the provider chain used to resolve credentials if no static credentials property is set.

  • region (String) —

    the region to send service requests to. See AWS.SageMakerRuntime.region for more information.

  • maxRetries (Integer) —

    the maximum amount of retries to attempt with a request. See AWS.SageMakerRuntime.maxRetries for more information.

  • maxRedirects (Integer) —

    the maximum amount of redirects to follow with a request. See AWS.SageMakerRuntime.maxRedirects for more information.

  • sslEnabled (Boolean) —

    whether to enable SSL for requests.

  • paramValidation (Boolean|map) —

    whether input parameters should be validated against the operation description before sending the request. Defaults to true. Pass a map to enable any of the following specific validation features:

    • min [Boolean] — Validates that a value meets the min constraint. This is enabled by default when paramValidation is set to true.
    • max [Boolean] — Validates that a value meets the max constraint.
    • pattern [Boolean] — Validates that a string value matches a regular expression.
    • enum [Boolean] — Validates that a string value matches one of the allowable enum values.
  • computeChecksums (Boolean) —

    whether to compute checksums for payload bodies when the service accepts it (currently supported in S3 only)

  • convertResponseTypes (Boolean) —

    whether types are converted when parsing response data. Currently only supported for JSON based services. Turning this off may improve performance on large response payloads. Defaults to true.

  • correctClockSkew (Boolean) —

    whether to apply a clock skew correction and retry requests that fail because of an skewed client clock. Defaults to false.

  • s3ForcePathStyle (Boolean) —

    whether to force path style URLs for S3 objects.

  • s3BucketEndpoint (Boolean) —

    whether the provided endpoint addresses an individual bucket (false if it addresses the root API endpoint). Note that setting this configuration option requires an endpoint to be provided explicitly to the service constructor.

  • s3DisableBodySigning (Boolean) —

    whether S3 body signing should be disabled when using signature version v4. Body signing can only be disabled when using https. Defaults to true.

  • s3UsEast1RegionalEndpoint ('legacy'|'regional') —

    when region is set to 'us-east-1', whether to send s3 request to global endpoints or 'us-east-1' regional endpoints. This config is only applicable to S3 client. Defaults to legacy

  • s3UseArnRegion (Boolean) —

    whether to override the request region with the region inferred from requested resource's ARN. Only available for S3 buckets Defaults to true

  • retryDelayOptions (map) —

    A set of options to configure the retry delay on retryable errors. Currently supported options are:

    • base [Integer] — The base number of milliseconds to use in the exponential backoff for operation retries. Defaults to 100 ms for all services except DynamoDB, where it defaults to 50ms.
    • customBackoff [function] — A custom function that accepts a retry count and error and returns the amount of time to delay in milliseconds. If the result is a non-zero negative value, no further retry attempts will be made. The base option will be ignored if this option is supplied. The function is only called for retryable errors.
  • httpOptions (map) —

    A set of options to pass to the low-level HTTP request. Currently supported options are:

    • proxy [String] — the URL to proxy requests through
    • agent [http.Agent, https.Agent] — the Agent object to perform HTTP requests with. Used for connection pooling. Defaults to the global agent (http.globalAgent) for non-SSL connections. Note that for SSL connections, a special Agent object is used in order to enable peer certificate verification. This feature is only available in the Node.js environment.
    • connectTimeout [Integer] — Sets the socket to timeout after failing to establish a connection with the server after connectTimeout milliseconds. This timeout has no effect once a socket connection has been established.
    • timeout [Integer] — Sets the socket to timeout after timeout milliseconds of inactivity on the socket. Defaults to two minutes (120000).
    • xhrAsync [Boolean] — Whether the SDK will send asynchronous HTTP requests. Used in the browser environment only. Set to false to send requests synchronously. Defaults to true (async on).
    • xhrWithCredentials [Boolean] — Sets the "withCredentials" property of an XMLHttpRequest object. Used in the browser environment only. Defaults to false.
  • apiVersion (String, Date) —

    a String in YYYY-MM-DD format (or a date) that represents the latest possible API version that can be used in all services (unless overridden by apiVersions). Specify 'latest' to use the latest possible version.

  • apiVersions (map<String, String|Date>) —

    a map of service identifiers (the lowercase service class name) with the API version to use when instantiating a service. Specify 'latest' for each individual that can use the latest available version.

  • logger (#write, #log) —

    an object that responds to .write() (like a stream) or .log() (like the console object) in order to log information about requests

  • systemClockOffset (Number) —

    an offset value in milliseconds to apply to all signing times. Use this to compensate for clock skew when your system may be out of sync with the service time. Note that this configuration option can only be applied to the global AWS.config object and cannot be overridden in service-specific configuration. Defaults to 0 milliseconds.

  • signatureVersion (String) —

    the signature version to sign requests with (overriding the API configuration). Possible values are: 'v2', 'v3', 'v4'.

  • signatureCache (Boolean) —

    whether the signature to sign requests with (overriding the API configuration) is cached. Only applies to the signature version 'v4'. Defaults to true.

  • dynamoDbCrc32 (Boolean) —

    whether to validate the CRC32 checksum of HTTP response bodies returned by DynamoDB. Default: true.

  • useAccelerateEndpoint (Boolean) —

    Whether to use the S3 Transfer Acceleration endpoint with the S3 service. Default: false.

  • clientSideMonitoring (Boolean) —

    whether to collect and publish this client's performance metrics of all its API requests.

  • endpointDiscoveryEnabled (Boolean|undefined) —

    whether to call operations with endpoints given by service dynamically. Setting this

  • endpointCacheSize (Number) —

    the size of the global cache storing endpoints from endpoint discovery operations. Once endpoint cache is created, updating this setting cannot change existing cache size. Defaults to 1000

  • hostPrefixEnabled (Boolean) —

    whether to marshal request parameters to the prefix of hostname. Defaults to true.

  • stsRegionalEndpoints ('legacy'|'regional') —

    whether to send sts request to global endpoints or regional endpoints. Defaults to 'legacy'.

  • useFipsEndpoint (Boolean) —

    Enables FIPS compatible endpoints. Defaults to false.

  • useDualstackEndpoint (Boolean) —

    Enables IPv6 dualstack endpoint. Defaults to false.

Property Details

endpoint ⇒ AWS.Endpoint (readwrite)

Returns an Endpoint object representing the endpoint URL for service requests.

Returns:

  • (AWS.Endpoint) —

    an Endpoint object representing the endpoint URL for service requests.

Method Details

invokeEndpoint(params = {}, callback) ⇒ AWS.Request

After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint.

For an overview of Amazon SageMaker, see How It Works.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpoint are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.

A customer's model containers must respond to requests within 60 seconds. The model itself can have a maximum processing time of 60 seconds before responding to invocations. If your model is going to take 50-60 seconds of processing time, the SDK socket timeout should be set to be 70 seconds.

Note: Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker determines the account ID from the authentication token that is supplied by the caller.

Service Reference:

Examples:

Calling the invokeEndpoint operation

var params = {
  Body: Buffer.from('...') || 'STRING_VALUE' /* Strings will be Base-64 encoded on your behalf */, /* required */
  EndpointName: 'STRING_VALUE', /* required */
  Accept: 'STRING_VALUE',
  ContentType: 'STRING_VALUE',
  CustomAttributes: 'STRING_VALUE',
  EnableExplanations: 'STRING_VALUE',
  InferenceComponentName: 'STRING_VALUE',
  InferenceId: 'STRING_VALUE',
  TargetContainerHostname: 'STRING_VALUE',
  TargetModel: 'STRING_VALUE',
  TargetVariant: 'STRING_VALUE'
};
sagemakerruntime.invokeEndpoint(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

  • params (Object) (defaults to: {}) —
    • EndpointName — (String)

      The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

    • Body — (Buffer, Typed Array, Blob, String)

      Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

      For information about the format of the request body, see Common Data Formats-Inference.

    • ContentType — (String)

      The MIME type of the input data in the request body.

    • Accept — (String)

      The desired MIME type of the inference response from the model container.

    • CustomAttributes — (String)

      Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1).

      The code in your model is responsible for setting or updating any custom attributes in the response. If your code does not set this value in the response, an empty value is returned. For example, if a custom attribute represents the trace ID, your model can prepend the custom attribute with Trace ID: in your post-processing function.

      This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

    • TargetModel — (String)

      The model to request for inference when invoking a multi-model endpoint.

    • TargetVariant — (String)

      Specify the production variant to send the inference request to when invoking an endpoint that is running two or more variants. Note that this parameter overrides the default behavior for the endpoint, which is to distribute the invocation traffic based on the variant weights.

      For information about how to use variant targeting to perform a/b testing, see Test models in production

    • TargetContainerHostname — (String)

      If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke.

    • InferenceId — (String)

      If you provide a value, it is added to the captured data when you enable data capture on the endpoint. For information about data capture, see Capture Data.

    • EnableExplanations — (String)

      An optional JMESPath expression used to override the EnableExplanations parameter of the ClarifyExplainerConfig API. See the EnableExplanations section in the developer guide for more information.

    • InferenceComponentName — (String)

      If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke.

Callback (callback):

  • function(err, data) { ... }

    Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.

    Context (this):

    • (AWS.Response) —

      the response object containing error, data properties, and the original request object.

    Parameters:

    • err (Error) —

      the error object returned from the request. Set to null if the request is successful.

    • data (Object) —

      the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:

      • Body — (Buffer(Node.js), Typed Array(Browser))

        Includes the inference provided by the model.

        For information about the format of the response body, see Common Data Formats-Inference.

        If the explainer is activated, the body includes the explanations provided by the model. For more information, see the Response section under Invoke the Endpoint in the Developer Guide.

      • ContentType — (String)

        The MIME type of the inference returned from the model container.

      • InvokedProductionVariant — (String)

        Identifies the production variant that was invoked.

      • CustomAttributes — (String)

        Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the CustomAttributes header of a request or other metadata that a service endpoint was programmed to produce. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back.

        The code in your model is responsible for setting or updating any custom attributes in the response. If your code does not set this value in the response, an empty value is returned. For example, if a custom attribute represents the trace ID, your model can prepend the custom attribute with Trace ID: in your post-processing function.

        This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

Returns:

  • (AWS.Request) —

    a handle to the operation request for subsequent event callback registration.

invokeEndpointAsync(params = {}, callback) ⇒ AWS.Request

After you deploy a model into production using Amazon SageMaker hosting services, your client applications use this API to get inferences from the model hosted at the specified endpoint in an asynchronous manner.

Inference requests sent to this API are enqueued for asynchronous processing. The processing of the inference request may or may not complete before you receive a response from this API. The response from this API will not contain the result of the inference request but contain information about where you can locate it.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpointAsync are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.

Service Reference:

Examples:

Calling the invokeEndpointAsync operation

var params = {
  EndpointName: 'STRING_VALUE', /* required */
  InputLocation: 'STRING_VALUE', /* required */
  Accept: 'STRING_VALUE',
  ContentType: 'STRING_VALUE',
  CustomAttributes: 'STRING_VALUE',
  InferenceId: 'STRING_VALUE',
  InvocationTimeoutSeconds: 'NUMBER_VALUE',
  RequestTTLSeconds: 'NUMBER_VALUE'
};
sagemakerruntime.invokeEndpointAsync(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

  • params (Object) (defaults to: {}) —
    • EndpointName — (String)

      The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

    • ContentType — (String)

      The MIME type of the input data in the request body.

    • Accept — (String)

      The desired MIME type of the inference response from the model container.

    • CustomAttributes — (String)

      Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1).

      The code in your model is responsible for setting or updating any custom attributes in the response. If your code does not set this value in the response, an empty value is returned. For example, if a custom attribute represents the trace ID, your model can prepend the custom attribute with Trace ID: in your post-processing function.

      This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

    • InferenceId — (String)

      The identifier for the inference request. Amazon SageMaker will generate an identifier for you if none is specified.

    • InputLocation — (String)

      The Amazon S3 URI where the inference request payload is stored.

    • RequestTTLSeconds — (Integer)

      Maximum age in seconds a request can be in the queue before it is marked as expired. The default is 6 hours, or 21,600 seconds.

    • InvocationTimeoutSeconds — (Integer)

      Maximum amount of time in seconds a request can be processed before it is marked as expired. The default is 15 minutes, or 900 seconds.

Callback (callback):

  • function(err, data) { ... }

    Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.

    Context (this):

    • (AWS.Response) —

      the response object containing error, data properties, and the original request object.

    Parameters:

    • err (Error) —

      the error object returned from the request. Set to null if the request is successful.

    • data (Object) —

      the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:

      • InferenceId — (String)

        Identifier for an inference request. This will be the same as the InferenceId specified in the input. Amazon SageMaker will generate an identifier for you if you do not specify one.

      • OutputLocation — (String)

        The Amazon S3 URI where the inference response payload is stored.

      • FailureLocation — (String)

        The Amazon S3 URI where the inference failure response payload is stored.

Returns:

  • (AWS.Request) —

    a handle to the operation request for subsequent event callback registration.

invokeEndpointWithResponseStream(params = {}, callback) ⇒ AWS.Request

Invokes a model at the specified endpoint to return the inference response as a stream. The inference stream provides the response payload incrementally as a series of parts. Before you can get an inference stream, you must have access to a model that's deployed using Amazon SageMaker hosting services, and the container for that model must support inference streaming.

For more information that can help you use this API, see the following sections in the Amazon SageMaker Developer Guide:

Before you can use this operation, your IAM permissions must allow the sagemaker:InvokeEndpoint action. For more information about Amazon SageMaker actions for IAM policies, see Actions, resources, and condition keys for Amazon SageMaker in the IAM Service Authorization Reference.

Amazon SageMaker strips all POST headers except those supported by the API. Amazon SageMaker might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.

Calls to InvokeEndpointWithResponseStream are authenticated by using Amazon Web Services Signature Version 4. For information, see Authenticating Requests (Amazon Web Services Signature Version 4) in the Amazon S3 API Reference.

Service Reference:

Examples:

Node.js EventStream Example

// In Node.js, events are streamed and can be read as they arrive.
sagemakerruntime.invokeEndpointWithResponseStream({/** params **/}, function(err, data) {
  if (err) {
    // handle error
    return console.error(err);
  }

  var eventStream = data.Body;

  eventStream.on('data', function(event) {
    // Check the top-level field to determine which event this is.
    if (event.PayloadPart) {
      // handle PayloadPart event
    } else if (event.ModelStreamError) {
      // handle ModelStreamError event
    } else if (event.InternalStreamFailure) {
      // handle InternalStreamFailure event
    }
  });
  eventStream.on('error', function(err) { /** Handle error events **/});
  eventStream.on('end', function() { /** Finished reading all events **/});
});

Browser EventStream Example

// In browsers, events aren't processed until the response is fully buffered.
// Events will be accessible as an array.
sagemakerruntime.invokeEndpointWithResponseStream({/** params **/}, function(err, data) {
  if (err) {
    // handle error
    return console.error(err);
  }

  var events = data.Body;

  for (var event of events) {
    // Check the top-level field to determine which event this is.
    if (event.PayloadPart) {
      // handle PayloadPart event
    } else if (event.ModelStreamError) {
      // handle ModelStreamError event
    } else if (event.InternalStreamFailure) {
      // handle InternalStreamFailure event
    }
  }
});

Async Iterator EventStream Example (Experimental)

// In Node.js v10.x, Readable streams have experimental support for async iteration.
// Instead of listening to the event stream's 'data' event, you can use a for...await loop.
async function example() {
  try {
    const result = await sagemakerruntime.invokeEndpointWithResponseStream({/** params **/}).promise();

    const events = result.Body;

    for await (const event of events) {
      // Check the top-level field to determine which event this is.
      if (event.PayloadPart) {
        // handle PayloadPart event
      } else if (event.ModelStreamError) {
        // handle ModelStreamError event
      } else if (event.InternalStreamFailure) {
        // handle InternalStreamFailure event
      }
    }
  } catch (err) {
    // handle error
  }
}

Calling the invokeEndpointWithResponseStream operation

var params = {
  Body: Buffer.from('...') || 'STRING_VALUE' /* Strings will be Base-64 encoded on your behalf */, /* required */
  EndpointName: 'STRING_VALUE', /* required */
  Accept: 'STRING_VALUE',
  ContentType: 'STRING_VALUE',
  CustomAttributes: 'STRING_VALUE',
  InferenceComponentName: 'STRING_VALUE',
  InferenceId: 'STRING_VALUE',
  TargetContainerHostname: 'STRING_VALUE',
  TargetVariant: 'STRING_VALUE'
};
sagemakerruntime.invokeEndpointWithResponseStream(params, function(err, data) {
  if (err) console.log(err, err.stack); // an error occurred
  else     console.log(data);           // successful response
});

Parameters:

  • params (Object) (defaults to: {}) —
    • EndpointName — (String)

      The name of the endpoint that you specified when you created the endpoint using the CreateEndpoint API.

    • Body — (Buffer, Typed Array, Blob, String)

      Provides input data, in the format specified in the ContentType request header. Amazon SageMaker passes all of the data in the body to the model.

      For information about the format of the request body, see Common Data Formats-Inference.

    • ContentType — (String)

      The MIME type of the input data in the request body.

    • Accept — (String)

      The desired MIME type of the inference response from the model container.

    • CustomAttributes — (String)

      Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to provide an ID that you can use to track a request or to provide other metadata that a service endpoint was programmed to process. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1).

      The code in your model is responsible for setting or updating any custom attributes in the response. If your code does not set this value in the response, an empty value is returned. For example, if a custom attribute represents the trace ID, your model can prepend the custom attribute with Trace ID: in your post-processing function.

      This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

    • TargetVariant — (String)

      Specify the production variant to send the inference request to when invoking an endpoint that is running two or more variants. Note that this parameter overrides the default behavior for the endpoint, which is to distribute the invocation traffic based on the variant weights.

      For information about how to use variant targeting to perform a/b testing, see Test models in production

    • TargetContainerHostname — (String)

      If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke.

    • InferenceId — (String)

      An identifier that you assign to your request.

    • InferenceComponentName — (String)

      If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke for a streaming response.

Callback (callback):

  • function(err, data) { ... }

    Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.

    Context (this):

    • (AWS.Response) —

      the response object containing error, data properties, and the original request object.

    Parameters:

    • err (Error) —

      the error object returned from the request. Set to null if the request is successful.

    • data (Object) —

      the de-serialized data returned from the request. Set to null if a request error occurs. The data object has the following properties:

      • Body — (ReadableStream<Events> | Array<Events>)

        A stream of payload parts. Each part contains a portion of the response for a streaming inference request.

        Body is an object-mode Readable stream in Node.js v0.10.x and higher. Attach a listener to the data event to receive events. Body is an array of events in browsers. The possible events that may be returned are listed below. Note that the top-level field in each event matches the event name.
        • PayloadPart — (map)

          A wrapper for pieces of the payload that's returned in response to a streaming inference request. A streaming inference response consists of one or more payload parts.

          • Bytes — (Buffer)

            A blob that contains part of the response for your streaming inference request.

        • ModelStreamError — (map)

          An error occurred while streaming the response body. This error can have the following error codes:

          ModelInvocationTimeExceeded

          The model failed to finish sending the response within the timeout period allowed by Amazon SageMaker.

          StreamBroken

          The Transmission Control Protocol (TCP) connection between the client and the model was reset or closed.

          • Message — (String)
          • ErrorCode — (String)

            This error can have the following error codes:

            ModelInvocationTimeExceeded

            The model failed to finish sending the response within the timeout period allowed by Amazon SageMaker.

            StreamBroken

            The Transmission Control Protocol (TCP) connection between the client and the model was reset or closed.

        • InternalStreamFailure — (map)

          The stream processing failed because of an unknown error, exception or failure. Try your request again.

          • Message — (String)
      • ContentType — (String)

        The MIME type of the inference returned from the model container.

      • InvokedProductionVariant — (String)

        Identifies the production variant that was invoked.

      • CustomAttributes — (String)

        Provides additional information in the response about the inference returned by a model hosted at an Amazon SageMaker endpoint. The information is an opaque value that is forwarded verbatim. You could use this value, for example, to return an ID received in the CustomAttributes header of a request or other metadata that a service endpoint was programmed to produce. The value must consist of no more than 1024 visible US-ASCII characters as specified in Section 3.3.6. Field Value Components of the Hypertext Transfer Protocol (HTTP/1.1). If the customer wants the custom attribute returned, the model must set the custom attribute to be included on the way back.

        The code in your model is responsible for setting or updating any custom attributes in the response. If your code does not set this value in the response, an empty value is returned. For example, if a custom attribute represents the trace ID, your model can prepend the custom attribute with Trace ID: in your post-processing function.

        This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker Python SDK.

Returns:

  • (AWS.Request) —

    a handle to the operation request for subsequent event callback registration.