Backend & Runtime / Knowledge library
Structured Outputs
model outputs matched to developer-supplied JSON Schemas
Why learn Structured Outputs?
Useful when downstream software needs predictable JSON rather than best-effort natural-language formatting.
Where it came from
Structured Outputs constrain model responses to match a supplied JSON Schema, improving reliability for extraction, function arguments and UI generation.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Summarize the official positioning for Structured Outputs in one paragraph.
- Identify the buyer, developer, or user workflow Structured Outputs is built for.
- Compare Structured Outputs with a neighboring catalog topic and name the boundary.
- List two implementation risks or adoption questions for Structured Outputs.
- Design a five-question evaluation that would test whether someone understands Structured Outputs.
Documentation and sources
- OpenAI Structured Outputs announcement (openai.com)
Catalog research notes
- Research snapshot: September 20, 2026. This entry summarizes the linked public documentation and should be refreshed before making version-specific claims.