LMQL
What is LMQL?
LMQL is a programming language tailored for large language models (LLMs). It offers robust and modular LLM prompting through the use of types, templates, constraints, and an optimizing runtime. It simplifies the creation of complex prompts by allowing procedural programming techniques in a query-like syntax. Created by the SRI Lab at ETH Zurich, LMQL supports features such as nested queries, scripted prompting, and custom constraints. It also provides a Playground IDE for ease of use.
LMQL's Top Features
Key capabilities that make LMQL stand out.
Nested Queries
Scripted Prompting
Custom Constraints
Optimizing Runtime
Playground IDE
Local Model Support
Tool Augmentation
High-level Constraint Management
Sequential Query Execution
Integration with Popular Libraries
Key Details
- Category
- Other
- Pricing Model
- Free
- Website
- Visit LMQL
- Last Updated
- December 1, 2025
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Use Cases
Who benefits most from this tool.
Developers
Creating complex and modular prompt structures for LLMs.
Researchers
Implementing advanced prompting techniques and optimization strategies.
Data Scientists
Utilizing structured prompting for data analysis and interpretation.
AI Practitioners
Building intelligent chatbots and interactive systems.
Educators
Teaching and demonstrating advanced prompting and LLM capabilities.
Hobbyists
Experimenting with LLMs and custom prompt designs.
Enterprises
Optimizing internal and customer-facing interactions through advanced LLM prompting.
AI Enthusiasts
Exploring the potential of procedural programming in LLM prompting.
Tech Startups
Innovating new applications and solutions using optimized LLM prompts.
Community Members
Participating in the development and documentation of LMQL features.