Structured Outputs

Constrained decoding, JSON mode, Schema enforcement

Deployment

Foundations

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TL;DR
A methodology in generative AI that forces model responses to adhere strictly to a predefined schema, ensuring 100% predictable and machine-readable data outputs like JSON.

In depth

Standard large language models naturally output unstructured, free-form text based on probabilistic token prediction. Structured outputs use constrained decoding to filter the model's vocabulary at every generation step, masking tokens that would violate the developer's schema. This guarantees absolute schema compliance without the need for complex, fragile parsing scripts or retry logic in downstream applications.

Why this matters for your business

This is a critical development for enterprise integration, enabling reliable data pipelines, function calling, and automated agent workflows that communicate programmatically with external APIs.

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