Structured Output

Purpose

Get reliably parseable, correctly typed data out of a language model. The naive approach — asking for JSON in the prompt and calling json.loads — fails often enough to be a production incident.

When to Use

• Extracting fields from unstructured text.
• Classification with a fixed set of labels.
• Any LLM output consumed by code rather than read by a human.
• A pipeline that fails intermittently on parse errors.

Capabilities