Unverified50% confidenceFactExact time
In local inference frameworks such as Ollama, the `format` parameter allows passing a JSON Schema to constrain model output to conform to specified field names, types, and nested structures, preventing the model from improvising, omitting fields, or returning unparseable text.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/19/2026
First Seen
Valid until: 1/17/2027
Sources
Related Entities
Related Claims
UnverifiedDevelopers can use system prompts or JSON Schema to force the model to return only enumerated values from predefined fields, disallowing free-text output containing value judgments.80% similarUnverifiedJSON Schema annotation keywords such as title, description, and examples do not affect validation logic, but large models rely on these annotations to understand parameter meanings79% similarUnverifiedDifferent models adhere to JSON Schema to varying degrees and may omit required fields, write numbers as strings, change key names in nested objects, or return explanatory text instead of JSON.76% similarUnverifiedStructured output constrains format via JSON Schema, which can eliminate randomness at the format level and confine uncertainty to the scope of semantic content.76% similarUnverified大语言模型（LLM）启用JSON Mode获取结构化输出时，输出本质上仍是文本，可能出现字段缺失、数据类型错误或模型幻觉导致的非预期字段75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1071937API
curl https://kongchang.com/api/v1/knowledge/claims/1071937MCP
get_claim(id=1071937)