Amazon Bedrock introduces new advanced prompt optimization and migration tool
**TL;DR:** Amazon Bedrock introduces new advanced prompt optimization and migration tool
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What we know
Today, we’re announcing Amazon Bedrock Advanced Prompt Optimization , a new tool that you can use to optimize your prompts for any model on Amazon Bedrock , while comparing your original prompts to optimized prompts across up to 5 models simultaneously. With the new prompt optimization, you can migrate to a new model or improve performance from your current model. You can test them to make sure they see no regressions on known use cases and also improve on underperforming tasks.
The new prompt optimizer takes in your prompt template, example user inputs for the variable values, ground truth answers, and an evaluation metric to use as a guide. You can even use this with multimodal user inputs – it supports png , jpg , and pdf as inputs to your prompt templates so you can optimize prompts for tasks like document and image analysis. You can also provide an AWS Lambda function, LLM-as-a-judge rubric, or a short natural language description to guide the optimization.
The prompt optimizer works in a metric-driven feedback loop to optimize the prompt and resulting model responses for the evaluation metric, and outputs the original and final prompt templates with evaluation scores, cost es
Source: AWS News
Context
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Why this matters
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Practical takeaways
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FAQ
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Last updated: June 16, 2026.
Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.
Additional context: early-cycle stories often look bigger in headlines than in day-to-day impact. The useful move is to identify the smallest set of facts that would change your decision, then wait for those facts to land.