Class: Aws::BedrockAgentRuntime::Types::InferenceConfiguration

Inherits:

Struct

• Object
• Struct
• Aws::BedrockAgentRuntime::Types::InferenceConfiguration

Includes:

Structure

Defined in:

lib/aws-sdk-bedrockagentruntime/types.rb

Overview

Specifications about the inference parameters that were provided alongside the prompt. These are specified in the

PromptOverrideConfiguration][1

object that was set when the agent

was created or updated. For more information, see [Inference parameters for foundation models].

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

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #maximum_length ⇒ Integer

  The maximum number of tokens allowed in the generated response.

• #stop_sequences ⇒ Array<String>

  A list of stop sequences.

• #temperature ⇒ Float

  The likelihood of the model selecting higher-probability options while generating a response.

• #top_k ⇒ Integer

  While generating a response, the model determines the probability of the following token at each point of generation.

• #top_p ⇒ Float

  While generating a response, the model determines the probability of the following token at each point of generation.

Instance Attribute Details

#maximum_length ⇒ Integer

The maximum number of tokens allowed in the generated response.

Returns:

• (Integer)

# File 'lib/aws-sdk-bedrockagentruntime/types.rb', line 2370

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

#stop_sequences ⇒ Array<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>)

# File 'lib/aws-sdk-bedrockagentruntime/types.rb', line 2370

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

#temperature ⇒ Float

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.

Returns:

• (Float)

# File 'lib/aws-sdk-bedrockagentruntime/types.rb', line 2370

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

#top_k ⇒ Integer

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.

Returns:

• (Integer)

# File 'lib/aws-sdk-bedrockagentruntime/types.rb', line 2370

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

#top_p ⇒ Float

While generating a response, the model determines the probability of the following token at each point of generation. The value that you set for ‘Top P` determines the number of most-likely candidates from which the model chooses the next token in the sequence. For example, if you set topP to 0.8, the model only selects the next token from the top 80% of the probability distribution of next tokens.

Returns:

• (Float)

# File 'lib/aws-sdk-bedrockagentruntime/types.rb', line 2370

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