Home icon

Structured outputs with Amazon Nova: A guide for builders

Machine Learning Blog



The article discusses Amazon Nova's new capability for generating structured outputs using constrained decoding, which helps developers convert unstructured data into reliable, machine-readable formats.

  • Constrained decoding reduces tool use errors by over 95%
  • Two primary approaches for structured outputs: modifying system prompts and using tool calling
  • Tool configurations define expected output schemas with specific properties and requirements
  • The technique dynamically generates a grammar that constrains the model's token selection
  • Demonstrated through a recipe extraction use case with a complex JSON schema

The method allows developers to use smaller models like Nova Lite to generate complex structured outputs reliably, with recommended use of Nova Pro or Premier for image-based complex schemas.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Feb 4
2026
Structured outputs now available in Amazon Bedrock
Jun 26
2025
Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use
Jul 17
2025
Implementing on-demand deployment with customized Amazon Nova models on Amazon Bedrock
Jul 24
2025
Benchmarking Amazon Nova: A comprehensive analysis through MT-Bench and Arena-Hard-Auto

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.