bedrockagent_create_agent: Amazon Bedrock Agents (now Amazon Bedrock Agents Classic) is...

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

Amazon Bedrock Agents (now Amazon Bedrock Agents Classic) is no longer open to new customers

Description

Amazon Bedrock Agents (now Amazon Bedrock Agents Classic) is no longer open to new customers. For capabilities similar to Bedrock Agents Classic, explore Amazon Bedrock AgentCore. Existing customers can continue to use the service as normal. For more information, see Amazon Bedrock Agents Classic availability change.

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

Usage

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

Arguments

agentName	[required] A name for the agent that you create.
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.
instruction	Instructions that tell the agent what it should do and how it should interact with users.
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.
description	A description of the agent.
orchestrationType	Specifies the type of orchestration strategy for the agent. This is set to DEFAULT orchestration type, by default.
customOrchestration	Contains details of the custom orchestration configured for the agent.
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.
agentResourceRoleArn	The Amazon Resource Name (ARN) of the IAM role with permissions to invoke API operations on the agent.
customerEncryptionKeyArn	The Amazon Resource Name (ARN) of the KMS key with which to encrypt the agent.
tags	Any tags that you want to attach to the agent.
promptOverrideConfiguration	Contains configurations to override prompts in different parts of an agent sequence. For more information, see Advanced prompts.
guardrailConfiguration	The unique Guardrail configuration assigned to the agent when it is created.
memoryConfiguration	Contains the details of the memory configured for the agent.
agentCollaboration	The agent's collaboration role.

paws.machine.learning documentation built on Oct. 8, 2026, 9:06 a.m.