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LMQL
4.6
Free LMQL is praised for its ability to create structured and reliable LLM interactions but needs more documentation.
A programming language for LLMs that enables robust and modular prompting with types, constraints, and an optimizing runtime.
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Refined 2/22/2026
About LMQL
LMQL (Language Model Query Language) is a programming language designed for interacting with Large Language Models (LLMs). It allows developers to define structured prompts with constraints, types, and modular components. LMQL uses an optimizing runtime that translates high-level constraints into (sub)token masks, which are enforced during text generation, leading to efficient and controllable LLM output. Nested queries facilitate modularity and reuse of prompt components. LMQL supports multiple backends like llama.cpp, OpenAI, and 🤗 Transformers, ensuring portability. It enables complex logic within prompts through Python control flow and string interpolation. LMQL helps in building chatbots, data processing pipelines, and autonomous agents with reproducible LLM outputs.
Core Capabilities
LMQL (Language Model Query Language) is a programming language designed for interacting with Large Language Models (LLMs).
Main Tasks
Prompt Engineering
Explore all tools that specialize in prompt engineering. This domain focus ensures LMQL delivers optimized results for this specific requirement.
