AWS.Tools.BedrockRuntime.XML
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<?xml version="1.0"?>
<doc> <assembly> <name>AWS.Tools.BedrockRuntime</name> </assembly> <members> <member name="T:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet"> <summary> Invokes the specified Bedrock model to run inference using the input provided in the request body. You use InvokeModel to run inference for text models, image models, and embedding models. <para> For more information about invoking models, see Using the API in the <a href="https://d2eo22ngex1n9g.cloudfront.net/Documentation/BedrockUserGuide.pdf">Bedrock User Guide</a>. </para><para> For example requests, see Examples (after the Errors section). </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.Accept"> <summary> <para> <para>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.Body"> <summary> <para> <para>Input data in the format specified in the content-type request header. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</para> </para> <para>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> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.ContentType"> <summary> <para> <para>The MIME type of the input data in the request. The default value is <code>application/json</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.ModelId"> <summary> <para> <para>Identifier of the model. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.BedrockRuntime.Model.InvokeModelResponse). Specifying the name of a property of type Amazon.BedrockRuntime.Model.InvokeModelResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelId parameter. The -PassThru parameter is deprecated, use -Select '^ModelId' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet"> <summary> Invoke the specified Bedrock model to run inference using the input provided. Return the response in a stream. <para> For more information about invoking models, see Using the API in the <a href="https://d2eo22ngex1n9g.cloudfront.net/Documentation/BedrockUserGuide.pdf">Bedrock User Guide</a>. </para><para> For an example request and response, see Examples (after the Errors section). </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.Accept"> <summary> <para> <para>The desired MIME type of the inference body in the response. The default value is <code>application/json</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.Body"> <summary> <para> <para>Inference input in the format specified by the content-type. To see the format and content of this field for different models, refer to <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html">Inference parameters</a>.</para> </para> <para>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> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.ContentType"> <summary> <para> <para>The MIME type of the input data in the request. The default value is <code>application/json</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.ModelId"> <summary> <para> <para>Id of the model to invoke using the streaming request.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.Select"> <summary> Use the -Select parameter to control the cmdlet output. The default value is '*'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.BedrockRuntime.Model.InvokeModelWithResponseStreamResponse). Specifying the name of a property of type Amazon.BedrockRuntime.Model.InvokeModelWithResponseStreamResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.PassThru"> <summary> Changes the cmdlet behavior to return the value passed to the ModelId parameter. The -PassThru parameter is deprecated, use -Select '^ModelId' instead. This parameter will be removed in a future version. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.BDRR.InvokeBDRRModelWithResponseStreamCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> </members> </doc> |