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Give returned data a shape your application can validate.
These guides address the practical gap between asking for a structured answer and safely using one. They cover field definitions, allowed labels, schema checks and the model-interface boundaries involved in a hosted workflow. Read them when an application needs an object or decision rather than a free-form paragraph.
Write down what happens when required information is missing, a field has the wrong type or a value is outside the permitted set. Keep the original input and relevant evidence available for review. Structural checks help constrain the format; task-specific checks determine whether the content is actually supported by the input.
2 articles tagged Structured output
Connect prompt design to an explicit output contract. Use schemas, unavailable states, source-reference checks, bounded corrections, and focused evaluation cases to turn generated text into records that an application can validate.
7 min readLearn where numerical processing belongs around an Anthropic Messages integration, then design clear application contracts, traceable evidence, validation and evaluation without assuming access to model internals. Keep provider metadata separate from model-generated conclusions.
7 min read
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