LMQL
Natural language querying for large models.
About this Tool
Natural language querying for large models.
LMQL positions itself around LMQL is a programming language for LLMs — with a focus on robust and modular llm prompting using types, templates, constraints and an optimizing runtime, and nested queries bring procedural programming to prompting new.
Pros & Cons
✓ Pros
- ✓Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
- ✓Nested Queries bring Procedural Programming to Prompting NEW
- ✓Works Across Backends
- ✓AI-powered features
- ✓Free plan or freemium pricing
✗ Cons
- ✗Some advanced features may require higher-tier plans
- ✗Limited public documentation on advanced use cases
Key Features
Robust and modular LLM prompting using types, templates, constraints and an optimizing runtime.
Nested Queries bring Procedural Programming to Prompting NEW
Execution Trace
Works Across Backends
llama.cpp
Transformers
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Model Output
📋 Scripts & Prompts for LMQL
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🔌 MCP Servers for LMQL
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🤖 AI Agents for LMQL
Pre-built automation agents that work with this tool — import in one click. Sign up free to access.
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Frequently Asked Questions
LMQL is available as free. Visit the tool's website for the latest pricing details and plan options.
LMQL offers a free plan. Check the website for feature limitations and upgrade options.
Visit the LMQL website for details on platform and device availability.
Many tools offer free trials to let you test before subscribing. Check the LMQL website for current trial availability and duration.
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