AgentSentry
An AI agent runtime watchdog that detects runaway loops and orphan processes in production AI agent systems and alerts the on-call owner
Platform engineers and SREs running AI agent workloads in production
- Pattern detection for runaway busy-loops and orphaned subprocess trees per agent run
- Auto-kill policy with safety rails and human-in-the-loop approval
- Cost ceiling alerts per run, per hour, and per customer
- Integration with PagerDuty and Slack for on-call routing
The article proves a single agent bug can saturate a machine for days; production agent fleets need automated detection, not terminal commands
Multiple documented production incidents — $47k LangChain loop over 11 days and $14k Bedrock burn — confirm real, painful demand that is 'becoming a rite of passage' for agent teams.How an AI Agent Ran Up a $47,000 Bill in 11 Days (And How to Stop It) ↗AI Agents with Cloud Credentials Are Outrunning Billing Guardrails - InfoQ ↗
Market is extremely crowded with 12+ funded platforms already covering tracing, cost caps and loop alerts — LangSmith, Langfuse, Helicone (acquired by Mintlify), Arize Phoenix, AgentOps, Datadog, Braintrust, Galileo (acquired by Cisco), Portkey, Maxim, Lunary, Logfire.AI Agent Observability Tools (2026): 12 Platforms Compared ↗9 AI Observability Platforms Compared: Phoenix, LangSmith, Langfuse ↗
Clear ROI per documented incident; existing tools already charge $0–$100k+/yr and Helicone reportedly hit $1M ARR with 5 people via freemium + self-host funnel.Helicone Pricing | UsagePricing ↗AWS Bill Surges to $47,000 Due to Unchecked AI Agent Loops ↗
Loop/budget risk grows with agent autonomy and tool-use complexity, not shrinks — a structural problem tied to the rise of multi-agent fleets rather than a fashion cycle.AI Agent Cost: Budget Caps, Token Attribution, and Runaway Loop Control ↗
Doable via OTEL-native sidecar that watches trace spans and token spend — pattern is well-understood and Helicone/Galileo proved the architecture — but defending against incumbent suites with the same features is the hard part.AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize ↗