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Provably Auditable and Safe LLM Agents from Human-Authored Ontologies

Paper introducing Agentic Redux, a provably correct LLM agent architecture.

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Provably Auditable and Safe LLM Agents from Human-Authored Ontologies

By Aaron SterlingarXiv
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The authors present Agentic Redux, an LLM agent architecture that ensures semantically guaranteed correctness through typed lambda calculus. They also introduce Ontology-First Agent Design, a methodology for creating agent frameworks on problem domains using human-authored ontologies.

The paper includes working code and two production-grade domain examples.

Abstract

The authors present Agentic Redux, an LLM agent architecture that ensures semantically guaranteed correctness through typed lambda calculus. They also introduce Ontology-First Agent Design, a methodology for creating agent frameworks on problem domains using human-authored ontologies. The paper includes working code and two production-grade domain examples.

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llm agentsprovably correcthuman-authored ontologiesagent design methodologyKnowledge GraphsLarge Language ModelsAI AgentsOntology & Taxonomy
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