bedrockagent_create_agent: Creates an agent that orchestrates interactions between...

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates an agent that orchestrates interactions between foundation models, data sources, software applications, user conversations, and APIs to carry out tasks to help customers

Description

Creates an agent that orchestrates interactions between foundation models, data sources, software applications, user conversations, and APIs to carry out tasks to help customers.

See https://www.paws-r-sdk.com/docs/bedrockagent_create_agent/ for full documentation.

Usage

bedrockagent_create_agent(
  agentCollaboration = NULL,
  agentName,
  agentResourceRoleArn = NULL,
  clientToken = NULL,
  customOrchestration = NULL,
  customerEncryptionKeyArn = NULL,
  description = NULL,
  foundationModel = NULL,
  guardrailConfiguration = NULL,
  idleSessionTTLInSeconds = NULL,
  instruction = NULL,
  memoryConfiguration = NULL,
  orchestrationType = NULL,
  promptOverrideConfiguration = NULL,
  tags = NULL
)

Arguments

agentCollaboration	The agent's collaboration role.
agentName	[required] A name for the agent that you create.
agentResourceRoleArn	The Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the agent.
clientToken	A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
customOrchestration	Contains details of the custom orchestration configured for the agent.
customerEncryptionKeyArn	The Amazon Resource Name (ARN) of the KMS key with which to encrypt the agent.
description	A description of the agent.
foundationModel	The identifier for the model that you want to be used for orchestration by the agent you create. The modelId to provide depends on the type of model or throughput that you use: If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see Amazon Bedrock base model IDs (on-demand throughput) in the Amazon Bedrock User Guide. If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see Supported Regions and models for cross-region inference in the Amazon Bedrock User Guide. If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see Run inference using a Provisioned Throughput in the Amazon Bedrock User Guide. If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see Use a custom model in Amazon Bedrock in the Amazon Bedrock User Guide. If you use an imported model, specify the ARN of the imported model. You can get the model ARN from a successful call to CreateModelImportJob or from the Imported models page in the Amazon Bedrock console.
guardrailConfiguration	The unique Guardrail configuration assigned to the agent when it is created.
idleSessionTTLInSeconds	The number of seconds for which Amazon Bedrock keeps information about a user's conversation with the agent. A user interaction remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Bedrock deletes any data provided before the timeout.
instruction	Instructions that tell the agent what it should do and how it should interact with users.
memoryConfiguration	Contains the details of the memory configured for the agent.
orchestrationType	Specifies the type of orchestration strategy for the agent. This is set to DEFAULT orchestration type, by default.
promptOverrideConfiguration	Contains configurations to override prompts in different parts of an agent sequence. For more information, see Advanced prompts.
tags	Any tags that you want to attach to the agent.

paws.machine.learning documentation built on April 3, 2025, 8:41 p.m.