Making Agent Guardrails Signable: Policy as a Deterministic Function
tyn_21 · reddit · 2026-08-26
Addressing the compliance bottleneck for enterprise agents, the author proposes a "deterministic guardrail" approach where policy documents are converted into executable functions instead of relying on probabilistic classifiers.
Core Mechanism:
- Policy as Function: Decisions are made by functions, not the LLM, with outputs citing the specific policy clause.
- Verifiability: Deterministic decisions allow running 10,000 invented cases to generate a certification acceptable to compliance teams.
Key Practical Lessons:
- Citation Enforcement: Rules drafted by LLMs must cite verbatim substrings from the source document to prevent hallucination.
- Handling Unknown Facts: Missing facts must evaluate to "undetermined" and escalate, rather than defaulting to false and silently approving.
- Contradiction Resolution: Source docs often conflict (e.g., 60-day vs 120-day rules). The system flags conflicts for a one-time human decision, which is then reused.
Implemented in Canonopylabs (MCP + REST), the solution achieved 100% agreement with its executable environment on a public benchmark and 0 violations in 12k adversarial cases.
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