-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) |
| Aliases | EvaluatorConfig_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) |
| Aliases | EvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_ModelId |
Amazon.PowerShell.Cmdlets.BACC.AmazonBedrockAgentCoreControlClientCmdlet.ClientConfig
| Required? | False |
| Position? | Named |
| Accept pipeline input? | True (ByPropertyName) |
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) |
The description of the evaluator that explains its purpose and evaluation criteria.
| Required? | False |
| Position? | Named |
| Accept pipeline input? | True (ByPropertyName) |
The name of the evaluator. Must be unique within your account.
| Required? | True |
| Position? | Named |
| Accept pipeline input? | True (ByPropertyName) |
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) |
| Aliases | EvaluatorConfig_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) |
| Aliases | EvaluatorConfig_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) |
| Aliases | EvaluatorConfig_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) |
| Aliases | EvaluatorConfig_LlmAsAJudge_ModelConfig_BedrockEvaluatorModelConfig_InferenceConfig_TopP |
The evaluation level that determines the scope of evaluation. Valid values are TOOL_CALL for individual tool invocations, TRACE for single request-response interactions, or SESSION for entire conversation sessions.
| Required? | True |
| 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) |
| Aliases | EvaluatorConfig_LlmAsAJudge_Instructions |
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) |
| Aliases | EvaluatorConfig_LlmAsAJudge_RatingScale_Categorical |
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) |
| Aliases | EvaluatorConfig_LlmAsAJudge_RatingScale_Numerical |
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.CreateEvaluatorResponse). Specifying the name of a property of type Amazon.BedrockAgentCoreControl.Model.CreateEvaluatorResponse 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) |
A map of tag keys and values to assign to an AgentCore Evaluator. Tags enable you to categorize your resources in different ways, for example, by purpose, owner, or environment. 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) |
| Aliases | Tags |