bedrockagentcore: Amazon Bedrock AgentCore

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

Amazon Bedrock AgentCore

Description

Welcome to the Amazon Bedrock AgentCore Data Plane API reference. Data Plane actions process and handle data or workloads within Amazon Web Services services.

Usage

bedrockagentcore(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Arguments

config	Optional configuration of credentials, endpoint, and/or region. credentials: creds: access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials. endpoint: The complete URL to use for the constructed client. region: The AWS Region used in instantiating the client. close_connection: Immediately close all HTTP connections. timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds. s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. ⁠http://s3.amazonaws.com/BUCKET/KEY⁠. sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
credentials	Optional credentials shorthand for the config parameter creds: access_key_id: AWS access key ID secret_access_key: AWS secret access key session_token: AWS temporary session token profile: The name of a profile to use. If not given, then the default profile is used. anonymous: Set anonymous credentials.
endpoint	Optional shorthand for complete URL to use for the constructed client.
region	Optional shorthand for AWS Region used in instantiating the client.

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Service syntax

svc <- bedrockagentcore(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

batch_create_memory_records	Creates multiple memory records in a single batch operation for the specified memory with custom content
batch_delete_memory_records	Deletes multiple memory records in a single batch operation from the specified memory
batch_update_memory_records	Updates multiple memory records with custom content in a single batch operation within the specified memory
complete_resource_token_auth	Confirms the user authentication session for obtaining OAuth2
create_ab_test	Creates an A/B test for comparing agent configurations
create_event	Creates an event in an AgentCore Memory resource
create_payment_instrument	Create a new payment instrument for a connector
create_payment_session	Create a new payment session
delete_ab_test	Deletes an A/B test and its associated gateway rules
delete_batch_evaluation	Deletes a batch evaluation and its associated results
delete_event	Deletes an event from an AgentCore Memory resource
delete_memory_record	Deletes a memory record from an AgentCore Memory resource
delete_payment_instrument	Deletes a payment instrument
delete_payment_session	Deletes a payment session
delete_recommendation	Deletes a recommendation and its associated results
evaluate	Performs on-demand evaluation of agent traces using a specified evaluator
get_ab_test	Retrieves detailed information about an A/B test, including its configuration, status, and statistical results
get_agent_card	Retrieves the A2A agent card associated with an AgentCore Runtime agent
get_batch_evaluation	Retrieves detailed information about a batch evaluation, including its status, configuration, results, and any error details
get_browser_session	Retrieves detailed information about a specific browser session in Amazon Bedrock AgentCore
get_code_interpreter_session	Retrieves detailed information about a specific code interpreter session in Amazon Bedrock AgentCore
get_event	Retrieves information about a specific event in an AgentCore Memory resource
get_memory_record	Retrieves a specific memory record from an AgentCore Memory resource
get_payment_instrument	Get a payment instrument by ID
get_payment_instrument_balance	Get the balance of a payment instrument
get_payment_session	Get a payment session
get_recommendation	Retrieves detailed information about a recommendation, including its configuration, status, and results
get_resource_api_key	Retrieves the API key associated with an API key credential provider
get_resource_oauth_2_token	Returns the OAuth 2
get_resource_payment_token	Generates authentication tokens for payment providers that use vendor-specific authentication mechanisms
get_workload_access_token	Obtains a workload access token for agentic workloads not acting on behalf of a user
get_workload_access_token_for_jwt	Obtains a workload access token for agentic workloads acting on behalf of a user, using a JWT token
get_workload_access_token_for_user_id	Obtains a workload access token for agentic workloads acting on behalf of a user, using the user's ID
invoke_agent_runtime	Sends a request to an agent or tool hosted in an Amazon Bedrock AgentCore Runtime and receives responses in real-time
invoke_agent_runtime_command	Executes a command in a runtime session container and streams the output back to the caller
invoke_browser	Invokes an operating system-level action on a browser session in Amazon Bedrock AgentCore
invoke_code_interpreter	Executes code within an active code interpreter session in Amazon Bedrock AgentCore
invoke_harness	Operation to invoke a Harness
list_ab_tests	Lists all A/B tests in the account
list_actors	Lists all actors in an AgentCore Memory resource
list_batch_evaluations	Lists all batch evaluations in the account, providing summary information about each evaluation's status and configuration
list_browser_sessions	Retrieves a list of browser sessions in Amazon Bedrock AgentCore that match the specified criteria
list_code_interpreter_sessions	Retrieves a list of code interpreter sessions in Amazon Bedrock AgentCore that match the specified criteria
list_events	Lists events in an AgentCore Memory resource based on specified criteria
list_memory_extraction_jobs	Lists all long-term memory extraction jobs that are eligible to be started with optional filtering
list_memory_records	Lists memory records in an AgentCore Memory resource based on specified criteria
list_payment_instruments	List payment instruments for a manager
list_payment_sessions	List payment sessions
list_recommendations	Lists all recommendations in the account, with optional filtering by status
list_sessions	Lists sessions in an AgentCore Memory resource based on specified criteria
process_payment	Processes a payment using a payment instrument within a payment session
retrieve_memory_records	Searches for and retrieves memory records from an AgentCore Memory resource based on specified search criteria
save_browser_session_profile	Saves the current state of a browser session as a reusable profile in Amazon Bedrock AgentCore
search_registry_records	Searches for registry records using semantic, lexical, or hybrid queries
start_batch_evaluation	Starts a batch evaluation job that evaluates agent performance across multiple sessions
start_browser_session	Creates and initializes a browser session in Amazon Bedrock AgentCore
start_code_interpreter_session	Creates and initializes a code interpreter session in Amazon Bedrock AgentCore
start_memory_extraction_job	Starts a memory extraction job that processes events that failed extraction previously in an AgentCore Memory resource and produces structured memory records
start_recommendation	Starts a recommendation job that analyzes agent traces and generates optimization suggestions for system prompts or tool descriptions to improve agent performance
stop_batch_evaluation	Stops a running batch evaluation
stop_browser_session	Terminates an active browser session in Amazon Bedrock AgentCore
stop_code_interpreter_session	Terminates an active code interpreter session in Amazon Bedrock AgentCore
stop_runtime_session	Stops a session that is running in an running AgentCore Runtime agent
update_ab_test	Updates an A/B test's configuration, including variants, traffic allocation, evaluation settings, or execution status
update_browser_stream	Updates a browser stream

Examples

## Not run: 
svc <- bedrockagentcore()
svc$batch_create_memory_records(
  Foo = 123
)

## End(Not run)

paws.machine.learning documentation built on May 31, 2026, 1:07 a.m.