Model responses are validated against schemas, types, or business rules before use, and a failed check triggers a reject-and-re-prompt loop rather than letting the malformed output flow downstream. Typical conditions for use: Downstream systems expect structured data; Errors must be caught early. The central trade-off: Higher reliability is gained against re…
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Theoretical construct: explains a term, principle, or mental model.
What organizes, connects, or makes decisions possible.
Output validation checks a result against expected rules, types, or a schema before downstream use.
It draws on data models, compiler checks, and interface contracts and became crucial for generated output.
A schema is an entry gate accepting only the required fields, types, and bounds.
The conceptual focus and typical structure of the approach.
Concrete use in a working context.
It helps teams make output validation decisions explicit, reviewable, and safer in practice.
Where this building block is located in the topic model.
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