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LMQL

by LMQLNo ratings yet

Program language-model prompts with types and constraints

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Linked from lmql.ai · checked 30 Oct

Tool type
Language and runtime for LLM programming
Made for
Developers and researchers designing model interactions
Runs on
Python installation and playground IDE
Last checked
30 Oct 2026
3 product sources

What it does

LMQL is a programming language and runtime for structured interactions with language models. It combines prompt templates with Python control flow, typed variables and constraints on generation. Nested queries let developers reuse prompt components and organize a larger interaction into smaller pieces.

Programs can target supported hosted or local backends, including OpenAI, Transformers and llama.cpp. LMQL is useful for developers experimenting with controlled generation rather than writing a single unstructured prompt. Backend support and available constraints differ, so test against the chosen model; local models require a local installation and suitable compute.

What it can do

  • Prompt templates
  • Typed generation
  • Output constraints
  • Python control flow
  • Nested queries
  • Multiple model backends

Works with

  • OpenAI
  • Transformers
  • llama.cpp

Before you choose

  • Current installation instructions specify Python 3.10.
  • Supported constraints and execution behavior depend on the backend.
  • Model APIs and local compute are separate costs.

Listed under

Get started

  1. Install LMQL using the documented Python environment.
  2. Choose a supported backend and configure model access.
  3. Write a query with constraints and inspect its output.
Read the LMQL getting-started guide

Plans and prices

Apache 2.0 software; model API usage or local compute is additional.

We couldn’t find published prices for LMQL. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.