Planner-Auditor framework

Gold definitionUpdated Apr 2, 2026

Definition

The Planner-Auditor framework enhances large language model (LLM) safety and reliability by separating LLM generation (Planner) from deterministic validation and targeted self-correction (Auditor). It addresses issues like hallucination, omissions, and miscalibrated confidence, particularly in critical applications.

At a glance

Executive summary

The Planner-Auditor framework is a system that makes large language models (LLMs) more reliable and safe, especially for important tasks like medical planning. It works by having one part (the Planner) generate ideas, and another part (the Auditor) rigorously check those ideas for accuracy and completeness, then helps the Planner learn from its mistakes.

TL;DR

It's a system that helps big AI models avoid mistakes and be more trustworthy by having one part create plans and another part strictly check and correct them.

Key points

Decouples LLM generation (Planner) from deterministic validation and targeted replay (Auditor) with a two-tier self-improvement loop.
Mitigates LLM hallucination, omissions, and miscalibrated confidence, improving safety and reliability in critical applications.
Used by researchers and ML engineers developing LLM-based agents for high-stakes domains like clinical decision support and automated planning.
Provides an explicit, systematic validation and self-correction layer, unlike direct, unvalidated LLM generation which is prone to errors.
Represents a key trend in agentic AI, LLM safety and alignment, and robust AI for healthcare.

Use cases

Clinical Discharge Planning: Generating accurate and comprehensive patient discharge instructions and plans, as demonstrated using MIMIC-IV-on-FHIR.
Financial Advisory Systems: Creating personalized financial plans or investment recommendations where accuracy and compliance are paramount, with the Auditor checking for factual correctness and regulatory adherence.
Legal Document Generation: Drafting legal contracts or summaries, where the Planner generates content and the Auditor verifies legal consistency, completeness, and absence of contradictory statements.
Automated Code Generation and Review: A Planner LLM generates code snippets, and an Auditor module performs static analysis, checks for security vulnerabilities, or verifies against test cases, providing feedback for regeneration.