LMQL

LMQL is a programming language that simplifies the process of creating complex queries for large language models (LLMs). Born from the SRI Lab at ETH Zurich, it allows developers to use Python-style functions to define prompts with specific constraints, ensuring consistent and expected outputs. LMQL is particularly valuable for its ability to handle dynamic querying with types, templates, and constraints, offering modular and re-usable prompt components. By supporting portability across multiple backends like OpenAI and Transformers, LMQL enables a streamlined experience where developers can switch LLMs with minimal changes to their codebase.