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.
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