Describes the API operations for creating and managing Amazon Bedrock agents.
bedrockagent(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)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.
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
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.
Optional shorthand for complete URL to use for the constructed client.
Optional shorthand for AWS Region used in instantiating the client.
svc <- bedrockagent(
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"
)
| associate_agent_collaborator | Makes an agent a collaborator for another agent |
| associate_agent_knowledge_base | Associates a knowledge base with an agent |
| create_agent | Creates an agent that orchestrates interactions between foundation models, data sources, software applications, user conversations, and APIs to carry out tasks to help customers |
| create_agent_action_group | Creates an action group for an agent |
| create_agent_alias | Creates an alias of an agent that can be used to deploy the agent |
| create_data_source | Connects a knowledge base to a data source |
| create_flow | Creates a prompt flow that you can use to send an input through various steps to yield an output |
| create_flow_alias | Creates an alias of a flow for deployment |
| create_flow_version | Creates a version of the flow that you can deploy |
| create_knowledge_base | Creates a knowledge base |
| create_prompt | Creates a prompt in your prompt library that you can add to a flow |
| create_prompt_version | Creates a static snapshot of your prompt that can be deployed to production |
| delete_agent | Deletes an agent |
| delete_agent_action_group | Deletes an action group in an agent |
| delete_agent_alias | Deletes an alias of an agent |
| delete_agent_version | Deletes a version of an agent |
| delete_data_source | Deletes a data source from a knowledge base |
| delete_flow | Deletes a flow |
| delete_flow_alias | Deletes an alias of a flow |
| delete_flow_version | Deletes a version of a flow |
| delete_knowledge_base | Deletes a knowledge base |
| delete_knowledge_base_documents | Deletes documents from a data source and syncs the changes to the knowledge base that is connected to it |
| delete_prompt | Deletes a prompt or a version of it, depending on whether you include the promptVersion field or not |
| disassociate_agent_collaborator | Disassociates an agent collaborator |
| disassociate_agent_knowledge_base | Disassociates a knowledge base from an agent |
| get_agent | Gets information about an agent |
| get_agent_action_group | Gets information about an action group for an agent |
| get_agent_alias | Gets information about an alias of an agent |
| get_agent_collaborator | Retrieves information about an agent's collaborator |
| get_agent_knowledge_base | Gets information about a knowledge base associated with an agent |
| get_agent_version | Gets details about a version of an agent |
| get_data_source | Gets information about a data source |
| get_flow | Retrieves information about a flow |
| get_flow_alias | Retrieves information about a flow |
| get_flow_version | Retrieves information about a version of a flow |
| get_ingestion_job | Gets information about a data ingestion job |
| get_knowledge_base | Gets information about a knoweldge base |
| get_knowledge_base_documents | Retrieves specific documents from a data source that is connected to a knowledge base |
| get_prompt | Retrieves information about the working draft (DRAFT version) of a prompt or a version of it, depending on whether you include the promptVersion field or not |
| ingest_knowledge_base_documents | Ingests documents directly into the knowledge base that is connected to the data source |
| list_agent_action_groups | Lists the action groups for an agent and information about each one |
| list_agent_aliases | Lists the aliases of an agent and information about each one |
| list_agent_collaborators | Retrieve a list of an agent's collaborators |
| list_agent_knowledge_bases | Lists knowledge bases associated with an agent and information about each one |
| list_agents | Lists the agents belonging to an account and information about each agent |
| list_agent_versions | Lists the versions of an agent and information about each version |
| list_data_sources | Lists the data sources in a knowledge base and information about each one |
| list_flow_aliases | Returns a list of aliases for a flow |
| list_flows | Returns a list of flows and information about each flow |
| list_flow_versions | Returns a list of information about each flow |
| list_ingestion_jobs | Lists the data ingestion jobs for a data source |
| list_knowledge_base_documents | Retrieves all the documents contained in a data source that is connected to a knowledge base |
| list_knowledge_bases | Lists the knowledge bases in an account |
| list_prompts | Returns either information about the working draft (DRAFT version) of each prompt in an account, or information about of all versions of a prompt, depending on whether you include the promptIdentifier field or not |
| list_tags_for_resource | List all the tags for the resource you specify |
| prepare_agent | Creates a DRAFT version of the agent that can be used for internal testing |
| prepare_flow | Prepares the DRAFT version of a flow so that it can be invoked |
| start_ingestion_job | Begins a data ingestion job |
| stop_ingestion_job | Stops a currently running data ingestion job |
| tag_resource | Associate tags with a resource |
| untag_resource | Remove tags from a resource |
| update_agent | Updates the configuration of an agent |
| update_agent_action_group | Updates the configuration for an action group for an agent |
| update_agent_alias | Updates configurations for an alias of an agent |
| update_agent_collaborator | Updates an agent's collaborator |
| update_agent_knowledge_base | Updates the configuration for a knowledge base that has been associated with an agent |
| update_data_source | Updates the configurations for a data source connector |
| update_flow | Modifies a flow |
| update_flow_alias | Modifies the alias of a flow |
| update_knowledge_base | Updates the configuration of a knowledge base with the fields that you specify |
| update_prompt | Modifies a prompt in your prompt library |
| validate_flow_definition | Validates the definition of a flow |
if (FALSE) {
svc <- bedrockagent()
svc$associate_agent_collaborator(
Foo = 123
)
}
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