Understand the mechanism

Provide schema/grammar, decode under constraints or validate-and-retry, then run business rules on the parsed object.

Read the structured outputs path as a pipeline for the invoice extractor API. At each stage, name the representation, the owner, and how information can be lost. Identifiers must mark prompt versions, model versions, indexes, and policies so “randomness” is not the default explanation for every bug in structured outputs.

if 970 of 1,000 outputs parse and 930 pass the schema, parse rate = 97% but end-to-end schema-valid rate = 93%; report both Scoped specifically to structured outputs / invoice extractor API / mechanism.

Keep the unit and the denominator visible when you discuss structured outputs. A percentage without a base, or a latency without a percentile, hides the failure mode this chapter cares about on the invoice extractor API.

Learned stages estimate; deterministic stages enforce. A fluent result from the invoice extractor API does not prove structured outputs used the right evidence. Preserve intermediates when privacy allows—candidate lists, traces, scores, citations—so you can see the first broken stage in the structured outputs path.

Operational correctness for structured outputs includes deadlines on the invoice extractor API. If stages that feed this workload sum past the user’s patience, trim earlier—usually pack less, retrieve less, or parallelize—before blaming the model vendor for structured outputs. Mechanism diagrams that ignore time are incomplete.

Also pin one numeric memory from this structured outputs chapter: if 970 of 1,000 outputs parse and 930 pass the schema, parse rate = 97% but end-to-end schema-valid rate = 93%; report both That number is not decoration; it is a template for how claims about structured outputs on the invoice extractor API should look in design docs. Scoped specifically to structured outputs / invoice extractor API / mechanism.

People confuse structured outputs with neighboring buzzwords when debugging the invoice extractor API. Before changing prompts, ask whether the broken stage was evidence gathering, the structured outputs judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried structured outputs and it failed”) that blocks the next team on the invoice extractor API. Scoped specifically to structured outputs / invoice extractor API / mechanism.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to structured outputs rather than generic AI advice.