LMQL

What it is

LMQL is a specialized programming language designed to facilitate interaction with large language models. It supports typed prompting, control flow, constraints, and tool integration, making it easier to build complex applications that leverage AI capabilities.

LMQL stands out as a dedicated language for large language model interaction, offering unique capabilities such as typed prompting and constraint-based programming which are not available in more generic programming environments.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited integrations with non-Python tools and services

   Primary integration examples are Python-based, lacking support for other languages and ecosystems

2. 02

   Small community and slow response to issues

   GitHub repository has a low number of contributors and open issues with delayed responses from maintainers

What it does well

• Typed prompting for precise control over input and output types.

• Support for complex control flow within prompts.

• Integration with external tools and services.

• Constraint-based programming to refine model outputs.

• Seamless interaction with large language models.

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.