<helpItems schema="maml"><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Invoke-SMREndpoint</name><description><para>Calls the Amazon SageMaker Runtime InvokeEndpoint API operation.</para></description><verb>Invoke</verb><noun>SMREndpoint</noun><copyright><para>&amp;copy; Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.</para></copyright></details><description><para>After you deploy a model into production using Amazon SageMaker AI 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 AI, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works.html">How It Works</a>.  
Amazon SageMaker AI strips all POST headers except those supported by the API. Amazon SageMaker AI might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.  
Calls to <c>InvokeEndpoint</c> are authenticated by using Amazon Web Services Signature Version 4. For information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html">Authenticating Requests (Amazon Web Services Signature Version 4)</a> in the <i>Amazon S3 API Reference</i>. 
A customer&amp;#39;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. 
Endpoints are scoped to an individual account, and are not public. The URL does not contain the account ID, but Amazon SageMaker AI determines the account ID from the authentication token that is supplied by the caller. </para></description><syntax><syntaxItem><name>Invoke-SMREndpoint</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EndpointName</name><description><para>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html">CreateEndpoint</a> API. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Accept</name><description><para>The desired MIME type of the inference response from the model container. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Body</name><description><para>Provides input data, in the format specified in the <c>ContentType</c> request header. Amazon SageMaker AI passes all of the data in the body to the model.  
For information about the format of the request body, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-inference.html">Common Data Formats-Inference</a>. 
The cmdlet will automatically convert the supplied parameter of type string, string[], System.IO.FileInfo or System.IO.Stream to byte[] before supplying it to the service. </para></description><parameterValue required="true" variableLength="false">System.Byte[]</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ContentType</name><description><para>The MIME type of the input data in the request body. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>CustomAttribute</name><description><para>Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI 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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> 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 <c>Trace ID:</c> in your post-processing function. 
This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EnableExplanation</name><description><para>An optional JMESPath expression used to override the <c>EnableExplanations</c> parameter of the <c>ClarifyExplainerConfig</c> API. See the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-online-explainability-create-endpoint.html#clarify-online-explainability-create-endpoint-enable">EnableExplanations</a> section in the developer guide for more information.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceComponentName</name><description><para>If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceId</name><description><para>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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-data-capture.html">Capture Data</a>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionId</name><description><para>Creates a stateful session or identifies an existing one. You can do one of the following: 
 - Create a stateful session by specifying the value <c>NEW_SESSION</c>. 
 - Send your request to an existing stateful session by specifying the ID of that session. 
With a stateful session, you can send multiple requests to a stateful model. When you create a session with a stateful model, the model must create the session ID and set the expiration time. The model must also provide that information in the response to your request. You can get the ID and timestamp from the <c>NewSessionId</c> response parameter. For any subsequent request where you specify that session ID, SageMaker AI routes the request to the same instance that supports the session. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetContainerHostname</name><description><para>If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetModel</name><description><para>The model to request for inference when invoking a multi-model endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetVariant</name><description><para>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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-ab-testing.html">Test models in production</a> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is &#39;*&#39;. Specifying -Select &#39;*&#39; will result in the cmdlet returning the whole service response (Amazon.SageMakerRuntime.Model.InvokeEndpointResponse). Specifying the name of a property of type Amazon.SageMakerRuntime.Model.InvokeEndpointResponse will result in that property being returned. Specifying -Select &#39;^ParameterName&#39; will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select &#39;^EndpointName&#39; instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force  the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.SMR.AmazonSageMakerRuntimeClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. 
<b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for  normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that  the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with  the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) 
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user&#39;s home directory)\.aws\credentials. 
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. 
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile.  Contains the network credentials to be supplied during authentication with the  configured identity provider&#39;s endpoint. This parameter is not required if the user&#39;s default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Accept</name><description><para>The desired MIME type of the inference response from the model container. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Body</name><description><para>Provides input data, in the format specified in the <c>ContentType</c> request header. Amazon SageMaker AI passes all of the data in the body to the model.  
For information about the format of the request body, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-inference.html">Common Data Formats-Inference</a>. 
The cmdlet will automatically convert the supplied parameter of type string, string[], System.IO.FileInfo or System.IO.Stream to byte[] before supplying it to the service. </para></description><parameterValue required="true" variableLength="false">System.Byte[]</parameterValue><type><name>System.Byte[]</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.SMR.AmazonSageMakerRuntimeClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</parameterValue><type><name>Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ContentType</name><description><para>The MIME type of the input data in the request body. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>CustomAttribute</name><description><para>Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI 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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> 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 <c>Trace ID:</c> in your post-processing function. 
This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EnableExplanation</name><description><para>An optional JMESPath expression used to override the <c>EnableExplanations</c> parameter of the <c>ClarifyExplainerConfig</c> API. See the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-online-explainability-create-endpoint.html#clarify-online-explainability-create-endpoint-enable">EnableExplanations</a> section in the developer guide for more information.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EndpointName</name><description><para>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html">CreateEndpoint</a> API. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. 
<b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for  normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force  the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceComponentName</name><description><para>If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceId</name><description><para>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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-monitor-data-capture.html">Capture Data</a>. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile.  Contains the network credentials to be supplied during authentication with the  configured identity provider&#39;s endpoint. This parameter is not required if the user&#39;s default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select &#39;^EndpointName&#39; instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) 
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user&#39;s home directory)\.aws\credentials. 
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. 
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with  the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that  the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is &#39;*&#39;. Specifying -Select &#39;*&#39; will result in the cmdlet returning the whole service response (Amazon.SageMakerRuntime.Model.InvokeEndpointResponse). Specifying the name of a property of type Amazon.SageMakerRuntime.Model.InvokeEndpointResponse will result in that property being returned. Specifying -Select &#39;^ParameterName&#39; will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionId</name><description><para>Creates a stateful session or identifies an existing one. You can do one of the following: 
 - Create a stateful session by specifying the value <c>NEW_SESSION</c>. 
 - Send your request to an existing stateful session by specifying the ID of that session. 
With a stateful session, you can send multiple requests to a stateful model. When you create a session with a stateful model, the model must create the session ID and set the expiration time. The model must also provide that information in the response to your request. You can get the ID and timestamp from the <c>NewSessionId</c> response parameter. For any subsequent request where you specify that session ID, SageMaker AI routes the request to the same instance that supports the session. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetContainerHostname</name><description><para>If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetModel</name><description><para>The model to request for inference when invoking a multi-model endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetVariant</name><description><para>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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-ab-testing.html">Test models in production</a> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.SageMakerRuntime.Model.InvokeEndpointResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.SageMakerRuntime.Model.InvokeEndpointResponse object containing multiple properties.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/v4/reference/index.html?page=Invoke-SMREndpoint.html&amp;tocid=Invoke-SMREndpoint</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/v4/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/sagemaker/latest/dg/API_Operations_Amazon_SageMaker_Runtime.html</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Invoke-SMREndpointWithResponseStream</name><description><para>Calls the Amazon SageMaker Runtime InvokeEndpointWithResponseStream API operation.</para></description><verb>Invoke</verb><noun>SMREndpointWithResponseStream</noun><copyright><para>&amp;copy; Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.</para></copyright></details><description><para>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&amp;#39;s deployed using Amazon SageMaker AI 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 <i>Amazon SageMaker AI Developer Guide</i>: 
 - 
For information about how to add streaming support to a model, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/your-algorithms-inference-code.html#your-algorithms-inference-code-how-containe-serves-requests">How Containers Serve Requests</a>. 
 - 
For information about how to process the streaming response, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/realtime-endpoints-test-endpoints.html">Invoke real-time endpoints</a>. 
Before you can use this operation, your IAM permissions must allow the <c>sagemaker:InvokeEndpoint</c> action. For more information about Amazon SageMaker AI actions for IAM policies, see <a href="https://docs.aws.amazon.com/service-authorization/latest/reference/list_amazonsagemaker.html">Actions, resources, and condition keys for Amazon SageMaker AI</a> in the <i>IAM Service Authorization Reference</i>. 
Amazon SageMaker AI strips all POST headers except those supported by the API. Amazon SageMaker AI might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.  
Calls to <c>InvokeEndpointWithResponseStream</c> are authenticated by using Amazon Web Services Signature Version 4. For information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html">Authenticating Requests (Amazon Web Services Signature Version 4)</a> in the <i>Amazon S3 API Reference</i>. </para></description><syntax><syntaxItem><name>Invoke-SMREndpointWithResponseStream</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EndpointName</name><description><para>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html">CreateEndpoint</a> API. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Accept</name><description><para>The desired MIME type of the inference response from the model container. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Body</name><description><para>Provides input data, in the format specified in the <c>ContentType</c> request header. Amazon SageMaker AI passes all of the data in the body to the model.  
For information about the format of the request body, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-inference.html">Common Data Formats-Inference</a>. 
The cmdlet will automatically convert the supplied parameter of type string, string[], System.IO.FileInfo or System.IO.Stream to byte[] before supplying it to the service. </para></description><parameterValue required="true" variableLength="false">System.Byte[]</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ContentType</name><description><para>The MIME type of the input data in the request body. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>CustomAttribute</name><description><para>Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI 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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> 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 <c>Trace ID:</c> in your post-processing function. 
This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceComponentName</name><description><para>If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke for a streaming response. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceId</name><description><para>An identifier that you assign to your request. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionId</name><description><para>The ID of a stateful session to handle your request. 
You can&#39;t create a stateful session by using the <c>InvokeEndpointWithResponseStream</c> action. Instead, you can create one by using the <c><a>InvokeEndpoint</a></c> action. In your request, you specify <c>NEW_SESSION</c> for the <c>SessionId</c> request parameter. The response to that request provides the session ID for the <c>NewSessionId</c> response parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetContainerHostname</name><description><para>If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetVariant</name><description><para>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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-ab-testing.html">Test models in production</a> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is &#39;*&#39;. Specifying -Select &#39;*&#39; will result in the cmdlet returning the whole service response (Amazon.SageMakerRuntime.Model.InvokeEndpointWithResponseStreamResponse). Specifying the name of a property of type Amazon.SageMakerRuntime.Model.InvokeEndpointWithResponseStreamResponse will result in that property being returned. Specifying -Select &#39;^ParameterName&#39; will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select &#39;^EndpointName&#39; instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force  the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.SMR.AmazonSageMakerRuntimeClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. 
<b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for  normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that  the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with  the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) 
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user&#39;s home directory)\.aws\credentials. 
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. 
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile.  Contains the network credentials to be supplied during authentication with the  configured identity provider&#39;s endpoint. This parameter is not required if the user&#39;s default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Accept</name><description><para>The desired MIME type of the inference response from the model container. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Body</name><description><para>Provides input data, in the format specified in the <c>ContentType</c> request header. Amazon SageMaker AI passes all of the data in the body to the model.  
For information about the format of the request body, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/cdf-inference.html">Common Data Formats-Inference</a>. 
The cmdlet will automatically convert the supplied parameter of type string, string[], System.IO.FileInfo or System.IO.Stream to byte[] before supplying it to the service. </para></description><parameterValue required="true" variableLength="false">System.Byte[]</parameterValue><type><name>System.Byte[]</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.SMR.AmazonSageMakerRuntimeClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</parameterValue><type><name>Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ContentType</name><description><para>The MIME type of the input data in the request body. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>CustomAttribute</name><description><para>Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI 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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> 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 <c>Trace ID:</c> in your post-processing function. 
This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EndpointName</name><description><para>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html">CreateEndpoint</a> API. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. 
<b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for  normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force  the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceComponentName</name><description><para>If the endpoint hosts one or more inference components, this parameter specifies the name of inference component to invoke for a streaming response. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceId</name><description><para>An identifier that you assign to your request. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile.  Contains the network credentials to be supplied during authentication with the  configured identity provider&#39;s endpoint. This parameter is not required if the user&#39;s default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select &#39;^EndpointName&#39; instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) 
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user&#39;s home directory)\.aws\credentials. 
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. 
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with  the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that  the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is &#39;*&#39;. Specifying -Select &#39;*&#39; will result in the cmdlet returning the whole service response (Amazon.SageMakerRuntime.Model.InvokeEndpointWithResponseStreamResponse). Specifying the name of a property of type Amazon.SageMakerRuntime.Model.InvokeEndpointWithResponseStreamResponse will result in that property being returned. Specifying -Select &#39;^ParameterName&#39; will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionId</name><description><para>The ID of a stateful session to handle your request. 
You can&#39;t create a stateful session by using the <c>InvokeEndpointWithResponseStream</c> action. Instead, you can create one by using the <c><a>InvokeEndpoint</a></c> action. In your request, you specify <c>NEW_SESSION</c> for the <c>SessionId</c> request parameter. The response to that request provides the session ID for the <c>NewSessionId</c> response parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetContainerHostname</name><description><para>If the endpoint hosts multiple containers and is configured to use direct invocation, this parameter specifies the host name of the container to invoke. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>TargetVariant</name><description><para>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 <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/model-ab-testing.html">Test models in production</a> </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.SageMakerRuntime.Model.InvokeEndpointWithResponseStreamResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.SageMakerRuntime.Model.InvokeEndpointWithResponseStreamResponse object containing multiple properties.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/v4/reference/index.html?page=Invoke-SMREndpointWithResponseStream.html&amp;tocid=Invoke-SMREndpointWithResponseStream</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/v4/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/sagemaker/latest/dg/API_Operations_Amazon_SageMaker_Runtime.html</uri></navigationLink></relatedLinks></command><command xmlns:maml="http://schemas.microsoft.com/maml/2004/10" xmlns:command="http://schemas.microsoft.com/maml/dev/command/2004/10" xmlns:dev="http://schemas.microsoft.com/maml/dev/2004/10"><details><name>Invoke-SMREndpointAsync</name><description><para>Calls the Amazon SageMaker Runtime InvokeEndpointAsync API operation.</para></description><verb>Invoke</verb><noun>SMREndpointAsync</noun><copyright><para>&amp;copy; Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.</para></copyright></details><description><para>After you deploy a model into production using Amazon SageMaker AI 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 AI strips all POST headers except those supported by the API. Amazon SageMaker AI might add additional headers. You should not rely on the behavior of headers outside those enumerated in the request syntax.  
Calls to <c>InvokeEndpointAsync</c> are authenticated by using Amazon Web Services Signature Version 4. For information, see <a href="https://docs.aws.amazon.com/AmazonS3/latest/API/sig-v4-authenticating-requests.html">Authenticating Requests (Amazon Web Services Signature Version 4)</a> in the <i>Amazon S3 API Reference</i>. </para></description><syntax><syntaxItem><name>Invoke-SMREndpointAsync</name><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EndpointName</name><description><para>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html">CreateEndpoint</a> API. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Accept</name><description><para>The desired MIME type of the inference response from the model container. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ContentType</name><description><para>The MIME type of the input data in the request body. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>CustomAttribute</name><description><para>Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI 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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> 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 <c>Trace ID:</c> in your post-processing function. 
This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Filename</name><description><para>The filename for the inference response payload stored in Amazon S3. If not specified, Amazon SageMaker AI generates a filename based on the inference ID. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceId</name><description><para>The identifier for the inference request. Amazon SageMaker AI will generate an identifier for you if none is specified.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InputLocation</name><description><para>The Amazon S3 URI where the inference request payload is stored. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InvocationTimeoutSecond</name><description><para>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. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RequestTTLSecond</name><description><para>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. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>S3OutputPathExtension</name><description><para>The path extension that is appended to the Amazon S3 output path where the inference response payload is stored. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is &#39;*&#39;. Specifying -Select &#39;*&#39; will result in the cmdlet returning the whole service response (Amazon.SageMakerRuntime.Model.InvokeEndpointAsyncResponse). Specifying the name of a property of type Amazon.SageMakerRuntime.Model.InvokeEndpointAsyncResponse will result in that property being returned. Specifying -Select &#39;^ParameterName&#39; will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select &#39;^EndpointName&#39; instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force  the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.SMR.AmazonSageMakerRuntimeClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. 
<b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for  normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that  the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with  the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) 
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user&#39;s home directory)\.aws\credentials. 
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. 
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile.  Contains the network credentials to be supplied during authentication with the  configured identity provider&#39;s endpoint. This parameter is not required if the user&#39;s default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue></parameter></syntaxItem></syntax><parameters><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Accept</name><description><para>The desired MIME type of the inference response from the model container. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>AccessKey</name><description><para>The AWS access key for the user account. This can be a temporary access key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ClientConfig</name><description><para>Amazon.PowerShell.Cmdlets.SMR.AmazonSageMakerRuntimeClientCmdlet.ClientConfig </para></description><parameterValue required="true" variableLength="false">Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</parameterValue><type><name>Amazon.SageMakerRuntime.AmazonSageMakerRuntimeConfig</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ContentType</name><description><para>The MIME type of the input data in the request body. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>Credential</name><description><para>An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials. </para></description><parameterValue required="true" variableLength="false">Amazon.Runtime.AWSCredentials</parameterValue><type><name>Amazon.Runtime.AWSCredentials</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>CustomAttribute</name><description><para>Provides additional information about a request for an inference submitted to a model hosted at an Amazon SageMaker AI 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 <a href="https://datatracker.ietf.org/doc/html/rfc7230#section-3.2.6">Section 3.3.6. Field Value Components</a> 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 <c>Trace ID:</c> in your post-processing function. 
This feature is currently supported in the Amazon Web Services SDKs but not in the Amazon SageMaker AI Python SDK.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="1"><name>EndpointName</name><description><para>The name of the endpoint that you specified when you created the endpoint using the <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/API_CreateEndpoint.html">CreateEndpoint</a> API. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>EndpointUrl</name><description><para>The endpoint to make the call against. 
<b>Note:</b> This parameter is primarily for internal AWS use and is not required/should not be specified for  normal usage. The cmdlets normally determine which endpoint to call based on the region specified to the -Region parameter or set as default in the shell (via Set-DefaultAWSRegion). Only specify this parameter if you must direct the call to a specific custom endpoint. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Filename</name><description><para>The filename for the inference response payload stored in Amazon S3. If not specified, Amazon SageMaker AI generates a filename based on the inference ID. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Force</name><description><para>This parameter overrides confirmation prompts to force  the cmdlet to continue its operation. This parameter should always be used with caution. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InferenceId</name><description><para>The identifier for the inference request. Amazon SageMaker AI will generate an identifier for you if none is specified.  </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="True" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InputLocation</name><description><para>The Amazon S3 URI where the inference request payload is stored. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>InvocationTimeoutSecond</name><description><para>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. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue><type><name>System.Int32</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByValue, ByPropertyName)" position="Named"><name>NetworkCredential</name><description><para>Used with SAML-based authentication when ProfileName references a SAML role profile.  Contains the network credentials to be supplied during authentication with the  configured identity provider&#39;s endpoint. This parameter is not required if the user&#39;s default network identity can or should be used during authentication. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.PSCredential</parameterValue><type><name>System.Management.Automation.PSCredential</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>PassThru</name><description><para>Changes the cmdlet behavior to return the value passed to the EndpointName parameter. The -PassThru parameter is deprecated, use -Select &#39;^EndpointName&#39; instead. This parameter will be removed in a future version. </para></description><parameterValue required="true" variableLength="false">System.Management.Automation.SwitchParameter</parameterValue><type><name>System.Management.Automation.SwitchParameter</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileLocation</name><description><para>Used to specify the name and location of the ini-format credential file (shared with the AWS CLI and other AWS SDKs) 
If this optional parameter is omitted this cmdlet will search the encrypted credential file used by the AWS SDK for .NET and AWS Toolkit for Visual Studio first. If the profile is not found then the cmdlet will search in the ini-format credential file at the default location: (user&#39;s home directory)\.aws\credentials. 
If this parameter is specified then this cmdlet will only search the ini-format credential file at the location given. 
As the current folder can vary in a shell or during script execution it is advised that you use specify a fully qualified path instead of a relative path. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>ProfileName</name><description><para>The user-defined name of an AWS credentials or SAML-based role profile containing credential information. The profile is expected to be found in the secure credential file shared with the AWS SDK for .NET and AWS Toolkit for Visual Studio. You can also specify the name of a profile stored in the .ini-format credential file used with  the AWS CLI and other AWS SDKs. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Region</name><description><para>The system name of an AWS region or an AWSRegion instance. This governs the endpoint that will be used when calling service operations. Note that  the AWS resources referenced in a call are usually region-specific. </para></description><parameterValue required="true" variableLength="false">System.Object</parameterValue><type><name>System.Object</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>RequestTTLSecond</name><description><para>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. </para></description><parameterValue required="true" variableLength="false">System.Int32</parameterValue><type><name>System.Int32</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>S3OutputPathExtension</name><description><para>The path extension that is appended to the Amazon S3 output path where the inference response payload is stored. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SecretKey</name><description><para>The AWS secret key for the user account. This can be a temporary secret key if the corresponding session token is supplied to the -SessionToken parameter. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>Select</name><description><para>Use the -Select parameter to control the cmdlet output. The default value is &#39;*&#39;. Specifying -Select &#39;*&#39; will result in the cmdlet returning the whole service response (Amazon.SageMakerRuntime.Model.InvokeEndpointAsyncResponse). Specifying the name of a property of type Amazon.SageMakerRuntime.Model.InvokeEndpointAsyncResponse will result in that property being returned. Specifying -Select &#39;^ParameterName&#39; will result in the cmdlet returning the selected cmdlet parameter value. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter><parameter required="False" variableLength="false" globbing="false" pipelineInput="True (ByPropertyName)" position="Named"><name>SessionToken</name><description><para>The session token if the access and secret keys are temporary session-based credentials. </para></description><parameterValue required="true" variableLength="false">System.String</parameterValue><type><name>System.String</name><uri /></type><defaultValue>None</defaultValue></parameter></parameters><returnValues><returnValue><type><name>Amazon.SageMakerRuntime.Model.InvokeEndpointAsyncResponse</name><uri /><description /></type><description><para>This cmdlet returns an Amazon.SageMakerRuntime.Model.InvokeEndpointAsyncResponse object containing multiple properties.</para></description></returnValue></returnValues><relatedLinks><navigationLink><linkText>Online version:</linkText><uri>http://docs.aws.amazon.com/powershell/v4/reference/index.html?page=Invoke-SMREndpointAsync.html&amp;tocid=Invoke-SMREndpointAsync</uri></navigationLink><navigationLink><linkText>Common credential and region parameters: </linkText><uri>http://docs.aws.amazon.com/powershell/v4/reference/items/pstoolsref-commonparams.html</uri></navigationLink><navigationLink><linkText>Developer Guide:</linkText><uri>https://docs.aws.amazon.com/sagemaker/latest/dg/whatis.html</uri></navigationLink><navigationLink><linkText>Service API Reference:</linkText><uri>https://docs.aws.amazon.com/sagemaker/latest/dg/API_Operations_Amazon_SageMaker_Runtime.html</uri></navigationLink></relatedLinks></command></helpItems>