AWS Tools for Windows PowerShell
Command Reference

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Synopsis

Calls the Amazon Bedrock Agent Core Control Plane Fronting Layer UpdateEvaluator API operation.

Syntax

Update-BACCEvaluator
-EvaluatorId <String>
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_AdditionalModelRequestField <PSObject>
-BedrockEvaluatorModelConfig_AdditionalModelRequestField <PSObject>
-EvaluatorConfig_Derived_BaseEvaluatorId <String>
-RatingScale_Categorical <CategoricalScaleDefinition[]>
-Description <String>
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_Reasoning_Effort <String>
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_Reasoning_Effort <String>
-LlmAsAJudge_Instruction <String>
-KmsKeyArn <String>
-EvaluatorConfig_CodeBased_LambdaConfig_LambdaArn <String>
-EvaluatorConfig_CodeBased_LambdaConfig_LambdaTimeoutInSecond <Int32>
-Level <EvaluatorLevel>
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_MaxOutputToken <Int32>
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_MaxOutputToken <Int32>
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_MaxToken <Int32>
-InferenceConfig_MaxToken <Int32>
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_ModelId <String>
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_ModelId <String>
-BedrockEvaluatorModelConfig_ModelId <String>
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_ModelId <String>
-RatingScale_Numerical <NumericalScaleDefinition[]>
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_StopSequence <String[]>
-InferenceConfig_StopSequence <String[]>
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_Temperature <Single>
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_Temperature <Single>
-InferenceConfig_Temperature <Single>
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_Temperature <Single>
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_TopP <Single>
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_TopP <Single>
-InferenceConfig_TopP <Single>
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_TopP <Single>
-ClientToken <String>
-Select <String>
-Force <SwitchParameter>
-ClientConfig <AmazonBedrockAgentCoreControlConfig>

Description

Updates a custom evaluator's configuration, description, or evaluation level. Built-in evaluators cannot be updated. The evaluator must not be locked for modification.

Parameters

-BedrockEvaluatorModelConfig_AdditionalModelRequestField <PSObject>
Additional model-specific request fields to customize model behavior beyond the standard inference configuration.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_AdditionalModelRequestFields
-BedrockEvaluatorModelConfig_ModelId <String>
The identifier of the Amazon Bedrock model to use for evaluation. Must be a supported foundation model available in your region.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_ModelId
-ClientConfig <AmazonBedrockAgentCoreControlConfig>
Amazon.PowerShell.Cmdlets.BACC.AmazonBedrockAgentCoreControlClientCmdlet.ClientConfig
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-ClientToken <String>
A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If you don't specify this field, a value is randomly generated for you. If this token matches a previous request, the service ignores the request, but doesn't return an error. For more information, see Ensuring idempotency.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Description <String>
The updated description of the evaluator.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_CodeBased_LambdaConfig_LambdaArn <String>
The Amazon Resource Name (ARN) of the Lambda function that implements the evaluation logic.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_CodeBased_LambdaConfig_LambdaTimeoutInSecond <Int32>
The timeout in seconds for the Lambda function invocation. Defaults to 60. Must be between 1 and 300.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_CodeBased_LambdaConfig_LambdaTimeoutInSeconds
-EvaluatorConfig_Derived_BaseEvaluatorId <String>
The identifier of the base evaluator whose logic to run (a Builtin.* or ThirdParty.* evaluator).
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_AdditionalModelRequestField <PSObject>
Additional model-specific request fields to customize model behavior beyond the standard inference configuration.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_AdditionalModelRequestFields
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_MaxToken <Int32>
The maximum number of tokens to generate in the model response during evaluation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_MaxTokens
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_StopSequence <String[]>
The list of sequences that will cause the model to stop generating tokens when encountered. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_StopSequences
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_Temperature <Single>
The temperature value that controls randomness in the model's responses. Lower values produce more deterministic outputs.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_TopP <Single>
The top-p sampling parameter that controls the diversity of the model's responses by limiting the cumulative probability of token choices.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_BedrockEvaluatorModelConfig_ModelId <String>
The identifier of the Amazon Bedrock model to use for evaluation. Must be a supported foundation model available in your region.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_MaxOutputToken <Int32>
The maximum number of tokens to generate in the model response, including visible output and reasoning tokens.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_MaxOutputTokens
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_ModelId <String>
The identifier of the model to use for evaluation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_Reasoning_Effort <String>
The level of reasoning effort the model applies when generating a response. For supported values, see the model provider's documentation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_Temperature <Single>
The temperature value that controls randomness in the model's responses. Lower values produce more deterministic outputs.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_Derived_ModelConfig_ResponsesEvaluatorModelConfig_TopP <Single>
The top-p sampling parameter that controls the diversity of the model's responses by limiting the cumulative probability of token choices.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_MaxOutputToken <Int32>
The maximum number of tokens to generate in the model response, including visible output and reasoning tokens.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_MaxOutputTokens
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_ModelId <String>
The identifier of the model to use for evaluation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_Reasoning_Effort <String>
The level of reasoning effort the model applies when generating a response. For supported values, see the model provider's documentation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_Temperature <Single>
The temperature value that controls randomness in the model's responses. Lower values produce more deterministic outputs.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorConfig_LlmAsAJudge_ModelConfig_ResponsesEvaluatorModelConfig_TopP <Single>
The top-p sampling parameter that controls the diversity of the model's responses by limiting the cumulative probability of token choices.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-EvaluatorId <String>
The unique identifier of the evaluator to update.
Required?True
Position?1
Accept pipeline input?True (ByValue, ByPropertyName)
-Force <SwitchParameter>
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-InferenceConfig_MaxToken <Int32>
The maximum number of tokens to generate in the model response during evaluation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_MaxTokens
-InferenceConfig_StopSequence <String[]>
The list of sequences that will cause the model to stop generating tokens when encountered. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_StopSequences
-InferenceConfig_Temperature <Single>
The temperature value that controls randomness in the model's responses. Lower values produce more deterministic outputs.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_Temperature
-InferenceConfig_TopP <Single>
The top-p sampling parameter that controls the diversity of the model's responses by limiting the cumulative probability of token choices.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_TopP
-KmsKeyArn <String>
The Amazon Resource Name (ARN) of a customer managed KMS key to use for encrypting sensitive evaluator data. Specify a new key ARN to rotate the encryption key, or specify a key ARN to add encryption to an evaluator that was previously created without one. When you rotate to a new key, the service decrypts the existing data with the old key and re-encrypts it with the new key. Only symmetric encryption KMS keys are supported. For more information, see Encryption at rest for AgentCore Evaluations.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-Level <EvaluatorLevel>
The updated evaluation level (TOOL_CALL, TRACE, or SESSION) that determines the scope of evaluation.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-LlmAsAJudge_Instruction <String>
The evaluation instructions that guide the language model in assessing agent performance, including criteria and evaluation guidelines.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_Instructions
-RatingScale_Categorical <CategoricalScaleDefinition[]>
The categorical rating scale with named categories and definitions for qualitative evaluation. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_RatingScale_Categorical
-RatingScale_Numerical <NumericalScaleDefinition[]>
The numerical rating scale with defined score values and descriptions for quantitative evaluation. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesEvaluatorConfig_LlmAsAJudge_RatingScale_Numerical
-Select <String>
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.BedrockAgentCoreControl.Model.UpdateEvaluatorResponse). Specifying the name of a property of type Amazon.BedrockAgentCoreControl.Model.UpdateEvaluatorResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)

Common Credential and Region Parameters

-AccessKey <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesAK
-Credential <AWSCredentials>
An AWSCredentials object instance containing access and secret key information, and optionally a token for session-based credentials.
Required?False
Position?Named
Accept pipeline input?True (ByValue, ByPropertyName)
-EndpointUrl <String>
The endpoint to make the call against.Note: 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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
-NetworkCredential <PSCredential>
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's endpoint. This parameter is not required if the user's default network identity can or should be used during authentication.
Required?False
Position?Named
Accept pipeline input?True (ByValue, ByPropertyName)
-ProfileLocation <String>
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'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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesAWSProfilesLocation, ProfilesLocation
-ProfileName <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesStoredCredentials, AWSProfileName
-Region <Object>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesRegionToCall
-SecretKey <String>
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.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesSK, SecretAccessKey
-SessionToken <String>
The session token if the access and secret keys are temporary session-based credentials.
Required?False
Position?Named
Accept pipeline input?True (ByPropertyName)
AliasesST

Outputs

Amazon.BedrockAgentCoreControl.Model.UpdateEvaluatorResponse
This cmdlet returns an Amazon.BedrockAgentCoreControl.Model.UpdateEvaluatorResponse object containing multiple properties.
AWS Tools for PowerShell User Guide

Supported Version

AWS Tools for PowerShell: 2.x.y.z