Describes the API operations for creating, managing, fine-turning, and evaluating Amazon Bedrock models.
bedrock(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 <- bedrock(
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"
)
| create_evaluation_job | API operation for creating and managing Amazon Bedrock automatic model evaluation jobs and model evaluation jobs that use human workers |
| create_guardrail | Creates a guardrail to block topics and to filter out harmful content |
| create_guardrail_version | Creates a version of the guardrail |
| create_model_customization_job | Creates a fine-tuning job to customize a base model |
| create_provisioned_model_throughput | Creates dedicated throughput for a base or custom model with the model units and for the duration that you specify |
| delete_custom_model | Deletes a custom model that you created earlier |
| delete_guardrail | Deletes a guardrail |
| delete_model_invocation_logging_configuration | Delete the invocation logging |
| delete_provisioned_model_throughput | Deletes a Provisioned Throughput |
| get_custom_model | Get the properties associated with a Amazon Bedrock custom model that you have created |
| get_evaluation_job | Retrieves the properties associated with a model evaluation job, including the status of the job |
| get_foundation_model | Get details about a Amazon Bedrock foundation model |
| get_guardrail | Gets details about a guardrail |
| get_model_customization_job | Retrieves the properties associated with a model-customization job, including the status of the job |
| get_model_invocation_logging_configuration | Get the current configuration values for model invocation logging |
| get_provisioned_model_throughput | Returns details for a Provisioned Throughput |
| list_custom_models | Returns a list of the custom models that you have created with the CreateModelCustomizationJob operation |
| list_evaluation_jobs | Lists model evaluation jobs |
| list_foundation_models | Lists Amazon Bedrock foundation models that you can use |
| list_guardrails | Lists details about all the guardrails in an account |
| list_model_customization_jobs | Returns a list of model customization jobs that you have submitted |
| list_provisioned_model_throughputs | Lists the Provisioned Throughputs in the account |
| list_tags_for_resource | List the tags associated with the specified resource |
| put_model_invocation_logging_configuration | Set the configuration values for model invocation logging |
| stop_evaluation_job | Stops an in progress model evaluation job |
| stop_model_customization_job | Stops an active model customization job |
| tag_resource | Associate tags with a resource |
| untag_resource | Remove one or more tags from a resource |
| update_guardrail | Updates a guardrail with the values you specify |
| update_provisioned_model_throughput | Updates the name or associated model for a Provisioned Throughput |
if (FALSE) {
svc <- bedrock()
svc$create_evaluation_job(
Foo = 123
)
}
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