LMQL
by Community
Language Model Query Language
OSS
LMQL
Added 1 June 2026
Overview
LMQL is a query language for language models. It allows developers to define interactions with LLMs using a declarative syntax that combines natural language prompts with programming constructs.
Best for
Best for
Developers seeking precise programmatic control over LLM outputs and complex prompt logic
Use cases
- Writing structured prompts with constraints on outputs
- Defining and enforcing output formats and templates
- Managing multi-step LLM interactions with control flow
Notes
LMQL is a query language for language models. It allows developers to define interactions with LLMs using a declarative syntax that combines natural language prompts with programming constructs.
Use cases
- Writing structured prompts with constraints on outputs
- Defining and enforcing output formats and templates
- Managing multi-step LLM interactions with control flow
Pros
- Provides fine-grained control over LLM behavior and output
- Open source with community development and transparency
- Reduces boilerplate by integrating prompt engineering with code
Cons
- Steep learning curve for developers new to query languages
- Limited documentation and examples as a community project
- Smaller ecosystem and fewer integrations compared to established frameworks
Indexed from awesome-llm and enriched against its public facts.
Pros
- Provides fine-grained control over LLM behavior and output
- Open source with community development and transparency
- Reduces boilerplate by integrating prompt engineering with code
Cons
- Steep learning curve for developers new to query languages
- Limited documentation and examples as a community project
- Smaller ecosystem and fewer integrations compared to established frameworks
Pairs with
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