LMQL, short for Language Model Query Language, is a specialized programming language designed for efficient interaction with large language models (LLMs). It combines the power of Python with unique language constructs tailored for LLM prompting, allowing developers to create, manage, and optimize queries to various LLM backends seamlessly. Developed by the SRI Lab at ETH Zurich, LMQL focuses on making LLM integrations more modular, reusable, and optimized.

By using LMQL, developers can leverage procedural programming principles within their prompts, making it easier to handle complex interactions and constraints directly within the code. This innovative approach not only simplifies the creation of prompts but also ensures better performance and accuracy in LLM responses.