bedrock_create_advanced_prompt_optimization_job: Creates an advanced prompt optimization job

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

Creates an advanced prompt optimization job

Description

Creates an advanced prompt optimization job. The job optimizes your prompt templates for specific models using your evaluation dataset and criteria.

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

Usage

bedrock_create_advanced_prompt_optimization_job(
  jobName,
  jobDescription = NULL,
  clientToken = NULL,
  inputConfig,
  outputConfig,
  encryptionKeyArn = NULL,
  tags = NULL,
  modelConfigurations
)

Arguments

jobName	[required] A name for the advanced prompt optimization job.
jobDescription	A description of the advanced prompt optimization job.
clientToken	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.
inputConfig	[required] Specifies the S3 location of your JSONL input file containing prompt templates and evaluation samples.
outputConfig	[required] Specifies the S3 location where optimization results will be stored.
encryptionKeyArn	The Amazon Resource Name (ARN) of the KMS key used for encrypting the output data. If not specified, the output is encrypted with an Amazon-owned KMS key.
tags	Tags to associate with the advanced prompt optimization job.
modelConfigurations	[required] A list of model configurations specifying the target models for prompt optimization. You can specify up to 5 models.

paws.machine.learning documentation built on Oct. 8, 2026, 9:06 a.m.