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LMQL

by Community

Language Model Query Language

L

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
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