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LMQL

A programming language for constraint-guided LLM programming

Apache-2.0

ABOUT

Integrating LLMs into applications often results in fragile code with expensive retry loops and parsing hacks to enforce output structure. LMQL solves this by providing a declarative programming model where constraints are embedded directly into prompts, reducing token usage and guaranteeing valid outputs.

INSTALL
pip install lmql # For local GPU support: # pip install lmql[hf]

INTEGRATION GUIDE

1. Enforce structured output formats like JSON or specific data schemas from LLMs 2. Reduce API costs by constraining generation to valid tokens at each step 3. Build reliable agent workflows with typed interactions and guaranteed responses 4. Prototype LLM applications in an interactive browser-based playground IDE

TAGS

pythonllmprogramming-languageconstraintsstructured-output
LMQL — AI Tool | Agentic AI For Good