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quiz vs the machine

Gold1340

Machine Learning

Structured Output and JSON Mode

Forcing a model to emit machine readable data that fits a schema.

5 min read · core · beat Gold to climb

What it is

Structured output makes a model return data in a fixed shape, such as JSON matching a schema, instead of free text. This lets downstream code parse the result reliably without fragile string handling.

How it is enforced

  • Prompted JSON: you ask for JSON and hope, which often works but can drift.
  • JSON mode: the API constrains output so it is always syntactically valid JSON.
  • Constrained decoding: the decoder is masked at each step to allow only tokens that keep the output valid against a grammar or schema, so the result conforms by construction.

Schema enforcement covers structure, not meaning. A field can be present and well typed yet still wrong, so you may still validate values.

Why it helps

  • It removes brittle parsing of natural language.
  • It makes outputs composable with tools, databases, and other services.
  • It supports function calling, where the model returns arguments that match a tool signature.

Key idea

Structured output and constrained decoding force a model to emit schema valid data so code can consume it, though correct structure does not guarantee correct content.

Check yourself

Answer to earn rating on the learn ladder.

1. What does constrained decoding do during generation?

2. Does a schema valid output guarantee the values are correct?