Why JSON Schema Field Order Breaks Structured Output Accuracy
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Someone on your team reorders a Pydantic model so the API response reads better — label first, rationale last. No prompt change, no model change, no temperature change. The classification eval drops. The rationales still look great; they just now describe a decision the model had already made. That is not a coincidence and it is not prompt superstition. With strict structured outputs, JSON Schema field order is a decoding constraint . The grammar compiler turns your property order into a…
1Key Takeaways
- Someone on your team reorders a Pydantic model so the API response reads better — label first, rationale last.
- No prompt change, no model change, no temperature change.
- The rationales still look great; they just now describe a decision the model had already made.
- That is not a coincidence and it is not prompt superstition.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that someone on your team reorders a Pydantic model so the API response reads better — label first, rationale last.
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