RegLLM Diagnostic Harness for Bounded Autonomy in Agents
September 27, 2026
RegLLM evaluates agent trustworthiness through six signals, including citation validity and constitutional alignment. The harness uses a deterministic runtime supervisor to block ungrounded answers and force escalation, increasing escalation recall.
HOW THIS AFFECTS YOU
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builderYou can implement these programmatic verifiers and escalation signals to build more reliable agentic workflows.
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policyThis provides a concrete framework for implementing and evaluating regulatory guardrails in agentic AI.