Unverified50% confidenceFactExact time
Ollama's structured output typically relies at its core on llama.cpp's grammar-constrained decoding, restricting the model at the decoding level to generate only tokens that conform to JSON syntax and schema constraints.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedStructured 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.74% similarUnverifiedOpenAI's Structured Outputs mode enforces JSON Schema-compliant output at the token sampling level through constrained decoding technology, completely eliminating formatting errors, a hard constraint that ordinary Function Calling does not possess.71% similarVerifiedJSON Mode only guarantees that the output is valid JSON without constraining the field structure; Structured Outputs enforces output conforming to a predefined JSON Schema at the syntactic level by applying a finite state machine (FSM) to constrain the token sampling path during the decoding phase.71% similarUnverified约束解码是一种在LLM推理阶段强制输出符合特定语法或模式的技术，典型实现包括OpenAI的JSON Mode、Outlines库和LMQL69% similarUnverifiedConstrained decoding restricts the model, via a predefined JSON Schema, so that each generated token can only be selected from the set of valid tokens.69% similar
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