Originally published on AI Tech Connect.
Why structured output breaks in production: the six failure modes Before reaching for a fix, it helps to know precisely what goes wrong. Analysis of production LLM pipelines across 2 million API calls (TokenMix, 2026) found that without any form of schema enforcement, JSON parsing fails 8 to 15 per cent of the time — a rate that sounds small until your pipeline handles a thousand requests a day and every failure is a thrown exception or a silently wrong downstream write. The failures cluster into six distinct modes, and they require different interventions: Schema violations. The model produces syntactically valid JSON that does not match the schema — a missing required field, an integer where a string was expected, a discriminator field with an unexpected value. This is the most common…
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