Class: Aws::BedrockRuntime::Types::InferenceConfiguration

Inherits:
Struct
  • Object
show all
Includes:
Structure
Defined in:
lib/aws-sdk-bedrockruntime/types.rb

Overview

Base inference parameters to pass to a model in a call to

Converse][1

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].

[1]: docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_Converse.html [2]: docs.aws.amazon.com/bedrock/latest/APIReference/API_runtime_ConverseStream.html [3]: docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#max_tokensInteger

The maximum number of tokens to allow in the generated response. The default value is the maximum allowed value for the model that you are using. For more information, see [Inference parameters for foundation models].

[1]: docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html

Returns:

  • (Integer)


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# File 'lib/aws-sdk-bedrockruntime/types.rb', line 1430

class InferenceConfiguration < Struct.new(
  :max_tokens,
  :temperature,
  :top_p,
  :stop_sequences)
  SENSITIVE = []
  include Aws::Structure
end

#stop_sequencesArray<String>

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

Returns:

  • (Array<String>)


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# File 'lib/aws-sdk-bedrockruntime/types.rb', line 1430

class InferenceConfiguration < Struct.new(
  :max_tokens,
  :temperature,
  :top_p,
  :stop_sequences)
  SENSITIVE = []
  include Aws::Structure
end

#temperatureFloat

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].

[1]: docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html

Returns:

  • (Float)


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# File 'lib/aws-sdk-bedrockruntime/types.rb', line 1430

class InferenceConfiguration < Struct.new(
  :max_tokens,
  :temperature,
  :top_p,
  :stop_sequences)
  SENSITIVE = []
  include Aws::Structure
end

#top_pFloat

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].

[1]: docs.aws.amazon.com/bedrock/latest/userguide/model-parameters.html

Returns:

  • (Float)


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# File 'lib/aws-sdk-bedrockruntime/types.rb', line 1430

class InferenceConfiguration < Struct.new(
  :max_tokens,
  :temperature,
  :top_p,
  :stop_sequences)
  SENSITIVE = []
  include Aws::Structure
end