LMQL
A programming language for interacting with large language models.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is LMQL?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary integration examples are Python-based, lacking support for other languages and ecosystems
GitHub repository has a low number of contributors and open issues with delayed responses from maintainers
Fit analysis
Who is it for?
✓ Best for
Teams building applications that need precise and controlled interaction with large language models.
Developers who require a programming language to handle complex AI interactions.
Projects where the integration of external tools and services is critical.
✕ Not a fit for
Users looking for a simple, no-code solution for interacting with AI.
Teams that prefer using existing general-purpose programming languages without specialized features.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with LMQL
Step-by-step setup guide with code examples and common gotchas.