2026-10-11 17:12 UTC

The Lawful Continuation Gate author claims a one-number threshold change reproducibly flips multiple OpenAI API configurations from the required response to zero visible output, exposing a deterministic control-flow reliability failure relevant to agent safeguards.

state: resolvedheat: lowuncertainty: highknownscott: mediumllm-reliability evaluation agentic-securityLawful Continuation GateOpenAI

What is this?

The Lawful Continuation Gate is described as a cloneable LLM reliability test whose author claims that changing a single numeric threshold causes several OpenAI API configurations to switch from a required response to no visible output. The supplied search results discuss deterministic gates, API reproducibility, and control failures generally, but none directly verifies this repository, its author, the tested configurations, or the claimed reproducibility; the search summary’s attribution to an Amazon team also conflicts with the case and is unsupported by the snippets.

Why it matters to Scott

The radar already tracks this same claimed development in `radar:frontier-api-zero-output-voids`, pending independent replication. It bears directly on Scott’s OpenAI-backed agents and trace-based evaluation practice by motivating explicit zero-output failure detection and pinned regression fixtures, but the supplied evidence does not yet verify the claimed threshold-triggered behavior.
ip:concept.evaluation-driven-developmentip:concept.agent-observabilitydev:concept.deterministic-agent-control-planedev:concept.trace-backed-agent-comparisonwork:technology.openai-apiradar:frontier-api-zero-output-voidsradar:concept.agent-reliabilityradar:concept.llm-apis
queries asked of Scott's wikis
  • silent failures in agent control flow
  • deterministic gates for agent safeguards
  • LLM API regression and reproducibility harnesses
  • zero-output handling in coding agents
  • threshold sensitivity in model evaluations
  • fail-closed versus fail-silent agent design

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditI made an LLM test you can clone and break
artificial
rayanpal_19
🟧 echo.github ⭐The repository’s root commit (“frozen”) contains the experiment described by the Reddit post. Its README says the test changes only “MeasureRayan Pal——

Interpretation history

Decision trace