Agents for Amazon Bedrock Runtime
Contains APIs related to model invocation and querying of knowledge bases.
bedrockagentruntime( config = list(), credentials = list(), endpoint = NULL, region = NULL )
config
: Optional configuration of credentials, endpoint, and/or region.
credentials :
creds :
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 :
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.
A client for the service. You can call the service's operations using syntax like svc$operation(...)
, where svc
is the name you've assigned to the client. The available operations are listed in the Operations section.
svc <- bedrockagentruntime(
config = list(
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string",
close_connection = "logical",
timeout = "numeric",
s3_force_path_style = "logical",
sts_regional_endpoint = "string"
),
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string"
)
delete_agent_memory | Deletes memory from the specified memory identifier |
generate_query | Generates an SQL query from a natural language query |
get_agent_memory | Gets the sessions stored in the memory of the agent |
invoke_agent | Sends a prompt for the agent to process and respond to |
invoke_flow | Invokes an alias of a flow to run the inputs that you specify and return the output of each node as a stream |
invoke_inline_agent | Invokes an inline Amazon Bedrock agent using the configurations you provide with the request |
optimize_prompt | Optimizes a prompt for the task that you specify |
rerank | Reranks the relevance of sources based on queries |
retrieve | Queries a knowledge base and retrieves information from it |
retrieve_and_generate | Queries a knowledge base and generates responses based on the retrieved results and using the specified foundation model or inference profile |
retrieve_and_generate_stream | Queries a knowledge base and generates responses based on the retrieved results, with output in streaming format |
## Not run: svc <- bedrockagentruntime() svc$delete_agent_memory( Foo = 123 ) ## End(Not run)
Useful links