Class: Aws::BedrockAgentRuntime::Types::PromptCreationConfigurations

Inherits:

Struct

Object
Struct
Aws::BedrockAgentRuntime::Types::PromptCreationConfigurations

show all

Defined in:: gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb

Overview

Specifies parameters that control how the service populates the agent prompt for an InvokeAgent or InvokeInlineAgent request. You can control which aspects of previous invocations in the same agent session the service uses to populate the agent prompt. This gives you more granular control over the contextual history that is used to process the current request.

Constant Summary collapse

SENSITIVE =

[]

Instance Attribute Summary collapse

#exclude_previous_thinking_steps ⇒ Boolean
If true, the service removes any content between <thinking> tags from previous conversations in an agent session.
#previous_conversation_turns_to_include ⇒ Integer
The number of previous conversations from the ongoing agent session to include in the conversation history of the agent prompt, during the current invocation.

Instance Attribute Details

#exclude_previous_thinking_steps ⇒ `Boolean`

If true, the service removes any content between <thinking> tags from previous conversations in an agent session. The service will only remove content from already processed turns. This helps you remove content which might not be useful for current and subsequent invocations. This can reduce the input token count and potentially save costs. The default value is false.

Returns:

(Boolean)

# File 'gems/aws-sdk-bedrockagentruntime/lib/aws-sdk-bedrockagentruntime/types.rb', line 6663

class PromptCreationConfigurations < Struct.new(
  :previous_conversation_turns_to_include,
  :exclude_previous_thinking_steps)
  SENSITIVE = []
  include Aws::Structure
end

#previous_conversation_turns_to_include ⇒ `Integer`

The number of previous conversations from the ongoing agent session to include in the conversation history of the agent prompt, during the current invocation. This gives you more granular control over the context that the model is made aware of, and helps the model remove older context which is no longer useful during the ongoing agent session.