bedrock_create_inference_profile: Creates an application inference profile to track metrics and...

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

Creates an application inference profile to track metrics and costs when invoking a model

Description

Creates an application inference profile to track metrics and costs when invoking a model. To create an application inference profile for a foundation model in one region, specify the ARN of the model in that region. To create an application inference profile for a foundation model across multiple regions, specify the ARN of the system-defined inference profile that contains the regions that you want to route requests to. For more information, see Increase throughput and resilience with cross-region inference in Amazon Bedrock. in the Amazon Bedrock User Guide.

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

Usage

bedrock_create_inference_profile(
  inferenceProfileName,
  description = NULL,
  clientRequestToken = NULL,
  modelSource,
  tags = NULL
)

Arguments

inferenceProfileName	[required] A name for the inference profile.
description	A description for the inference profile.
clientRequestToken	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.
modelSource	[required] The foundation model or system-defined inference profile that the inference profile will track metrics and costs for.
tags	An array of objects, each of which contains a tag and its value. For more information, see Tagging resources in the Amazon Bedrock User Guide.

paws.machine.learning documentation built on April 3, 2025, 8:41 p.m.