AWS::BedrockAgentCore::Evaluator InferenceConfiguration - AWS CloudFormation

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AWS::BedrockAgentCore::Evaluator InferenceConfiguration

The inference configuration parameters that control model behavior during evaluation, including temperature, token limits, and sampling settings.

Syntax

To declare this entity in your CloudFormation template, use the following syntax:

JSON

{ "MaxTokens" : Integer, "Temperature" : Number, "TopP" : Number }

YAML

MaxTokens: Integer Temperature: Number TopP: Number

Properties

MaxTokens

The maximum number of tokens to generate in the model response during evaluation.

Required: No

Type: Integer

Minimum: 1

Update requires: No interruption

Temperature

The temperature value that controls randomness in the model's responses. Lower values produce more deterministic outputs.

Required: No

Type: Number

Minimum: 0

Maximum: 1

Update requires: No interruption

TopP

The top-p sampling parameter that controls the diversity of the model's responses by limiting the cumulative probability of token choices.

Required: No

Type: Number

Minimum: 0

Maximum: 1

Update requires: No interruption