Agentic Redux offers provably correct LLM agents with auditable ledgers
Researchers introduce Agentic Redux, an LLM agent architecture that uses typed lambda calculus to guarantee semantic correctness and records all decisions in an append-only ledger for linear auditability.
Score breakdown
The architecture provides formal, provable correctness guarantees for LLM agent executions — a property the paper demonstrates on regulated domains like healthcare billing compliance and security vulnerability disclosure where auditability is critical.
- 01The architecture is called Agentic Redux and targets nontrivial problem domains requiring linear auditability.
- 02Typed lambda calculus is used to prove semantic correctness guarantees for executions on appropriate domains.
- 03All decisions are recorded in an append-only ledger.
Aaron Sterling's paper introduces Agentic Redux, an LLM agent architecture built for nontrivial problem domains that require linear auditability. The architecture's correctness guarantees are grounded in the typed lambda calculus, which the paper uses to prove that executions on appropriate domains are semantically correct. All decisions are recorded in an append-only ledger, providing a verifiable audit trail.
Working code for both domains is available in a supporting code repository.
The paper demonstrates Agentic Redux on two production-grade domains: healthcare billing compliance and security vulnerability disclosure. Working code for both domains is available in a supporting code repository. Alongside the architecture, the paper introduces Ontology-First Agent Design, a methodology for building agent frameworks on a given problem domain. In this approach, a human expert first ontologizes the domain using Basic Formal Ontology, and an LLM is then assigned to derive the roles that agents and humans-in-the-loop can fill to address problems within that domain.
Key facts
- 01The architecture is called Agentic Redux and targets nontrivial problem domains requiring linear auditability.
- 02Typed lambda calculus is used to prove semantic correctness guarantees for executions on appropriate domains.
- 03All decisions are recorded in an append-only ledger.
- 04Two production-grade domains are demonstrated: healthcare billing compliance and security vulnerability disclosure.
- 05Working code for both domains is available in a supporting code repository.
- 06The paper also introduces Ontology-First Agent Design, a methodology for creating agent frameworks on a problem domain.
- 07In Ontology-First Agent Design, a human expert ontologizes the domain with Basic Formal Ontology, then an LLM derives roles for agents and humans-in-the-loop.
Topics
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