Unverified50% confidenceFactExact time
Structured output means the model directly generates a response that conforms to a predefined schema (such as a JSON Schema or a Pydantic model) rather than free text.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
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Related Claims
VerifiedUnder the tool-calling paradigm, the LLM outputs a structured function-call intent (in JSON format), which is actually executed by an external system that returns the result to the model.75% similarUnverifiedThe Structured Output package supports two constraint methods: JSON schema and regular expressions (regex).73% similarVerifiedStructured output imposes constraints on token generation during the decoding phase through JSON Schema or function-calling mechanisms, which is fundamentally different from requesting JSON-format output in the prompt.73% similarUnverifiedBy forcing the model to answer using a single tool, you can obtain JSON output that conforms to a schema rather than free-form text that needs to be parsed manually.73% similarUnverifiedOutlines implements a compilation pipeline from Pydantic models to JSON Schema to FSM, enabling developers to obtain generation constraints simply by defining Pydantic classes.73% similar
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