AWS::Bedrock::Agent InferenceConfiguration - Amazon CloudFormation
SyntaxProperties
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AWS::Bedrock::Agent InferenceConfiguration

Base inference parameters to pass to a model in a call to Converse or ConverseStream. For more information, see Inference parameters for foundation models.

If you need to pass additional parameters that the model supports, use the additionalModelRequestFields request field in the call to Converse or ConverseStream. For more information, see Model parameters.

Syntax

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

JSON

{
  "MaximumLength" : Number,
  "StopSequences" : [ String, ... ],
  "Temperature" : Number,
  "TopK" : Number,
  "TopP" : Number
}

YAML

  MaximumLength: Number
  StopSequences: 
    - String
  Temperature: Number
  TopK: Number
  TopP: Number

Properties

MaximumLength

The maximum number of tokens allowed in the generated response.

Required: No

Type: Number

Minimum: 0

Maximum: 4096

Update requires: No interruption

StopSequences

A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.

Required: No

Type: Array of String

Minimum: 0

Maximum: 4

Update requires: No interruption

Temperature

The likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.

The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.

Required: No

Type: Number

Minimum: 0

Maximum: 1

Update requires: No interruption

TopK

While generating a response, the model determines the probability of the following token at each point of generation. The value that you set for topK is the number of most-likely candidates from which the model chooses the next token in the sequence. For example, if you set topK to 50, the model selects the next token from among the top 50 most likely choices.

Required: No

Type: Number

Minimum: 0

Maximum: 500

Update requires: No interruption

TopP

The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8 for topP, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence.

The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.

Required: No

Type: Number

Minimum: 0

Maximum: 1

Update requires: No interruption