LMQL
A query language and accompanying library designed for large language models. It supports declarative constraints to control model outputs and combines decoding-stage optimizations to achieve efficient structured generation.
Timeline (last 90 days)
Constrained decoding dynamically filters the vocabulary through external logic at each token generation step, allowing only grammatically valid tokens to be sampled; common implementations include Outlines, LMQL, and the json_schema response format built into inference engines.
Open-source frameworks such as Outlines, Guidance, and LMQL have already implemented constrained output/restricted decoding mechanisms.
Outlines, Guidance, and LMQL are representative implementation libraries for hard constraints in the decoding phase.
约束解码技术生态包括OpenAI的JSON Mode、Outlines库、LMQL、Microsoft的Guidance库、SGLang和Instructor等工具
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LMQL
All Facts (5)
Constrained decoding dynamically filters the vocabulary through external logic at each token generation step, allowing only grammatically valid tokens to be sampled; common implementations include Outlines, LMQL, and the json_schema response format built into inference engines.
50%UnverifiedOpen-source frameworks such as Outlines, Guidance, and LMQL have already implemented constrained output/restricted decoding mechanisms.
50%UnverifiedOutlines, Guidance, and LMQL are representative implementation libraries for hard constraints in the decoding phase.
50%Unverified约束解码技术生态包括OpenAI的JSON Mode、Outlines库、LMQL、Microsoft的Guidance库、SGLang和Instructor等工具
50%Unverified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LMQL
50%