Verified65% confidenceFactExact time
OpenAI's Structured Output is based on Constrained Sampling technology, which allows only tokens conforming to the current JSON Schema constraints to be sampled at each decoding step, thereby mathematically guaranteeing the validity of the output format.
3
Sources
65%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
Related Claims
UnverifiedAchieving compatibility with the OpenAI format requires precise alignment of SSE streaming output format, JSON Schema definitions for Function Calling, and error code semantic mapping, enabling proxy tools such as LiteLLM to achieve transparent compatibility.79% similarUnverifiedOpenAI、Anthropic等主流模型API均支持在调用时传入JSON Schema以约束输出格式78% similarVerifiedOpenAI's function calling/tool use mechanism is a hard constraint; the model inference engine directly constrains the valid set of output tokens during the decoding phase, thereby guaranteeing format compliance at the protocol level.76% similarUnverifiedModel APIs such as OpenAI's and Anthropic's accept only a subset of JSON Schema keywords, and the remaining constraints are either ignored or downgraded to natural language descriptions.75% similarUnverifiedThe OpenAI Batch API is a reasonable default when applications are built around OpenAI request shapes and structured output tooling, but applications are responsible for mapping output records back to the frozen list.74% similar
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