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Burn-rate circuit breaker for LLM agent fleets: auto-demote drifting agents to propose-only

An open-source tool that monitors each LLM agent's failure rate against its own trailing baseline. When the current failure rate exceeds 2x the baseline, the agent is automatically demoted from autonomous action to propose-only mode, where outputs require human approval. It solves silent drift in agent fleets for teams running multiple LLM agents in production.

1 engagement·1 source·Mon, Jul 13, 2026, 10:47 AM
Zero-dependency open-source tool with an interactive demo. Borrows from telecom NOC practice and Google SRE burn-rate alerting. Tracks per-agent failure rate as a trailing baseline, compares current window against that agent's own history, and latches the agent into propose-only mode when the ratio exceeds 2x. The agent continues producing outputs, but they become proposals for a human instead of actions. No tech stack details provided beyond zero-dep OSS.

Entities

Google SRE(concept)telecom NOC(concept)

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1 engagement·1 source·hackernews
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Study analyzes failure trajectories of CLI coding agents as temporal processes

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0 engagement·1 source·arxiv
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0 engagement·1 source·reddit
Mon, Jul 13, 2026, 10:46 AM
Incident

Developer shares horror story of AI agent stuck in error loop burning API budget

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0 engagement·1 source·reddit
Mon, Jul 13, 2026, 01:36 AM