LoopBrake · Runtime cost governance for AI agents
Agentic systems fail silently. A loop, a retry chain, a spiral, and the invoice arrives days later. LoopBrake watches your agents, detects the pattern, enforces your budgets, and stops bad runs before they cost you.
See LoopBrakeWhy this exists
Agentic workflows don't fail loudly. They loop. They retry. They spiral. And the first indication is usually the invoice.
Dashboards show usage as flat. The bill says otherwise. By the time anyone investigates, the run ended days ago and the damage is done.
LoopBrake sits at the runtime layer, between your orchestration and the LLM calls. It sees the pattern forming and stops it before it compounds.
What LoopBrake handles
Loop detection
Identifies when an agent is repeating the same sequence of calls without progress. Catches it early, before the spiral compounds into a meaningful bill.
Budget enforcement
Set limits per run, per agent, or per workflow. LoopBrake enforces them at runtime. Not as a soft suggestion, as a hard stop.
Spiral halting
Automatically stops runs that are trending toward a budget breach. You define the threshold; LoopBrake does the watching.
Cost visibility
See exactly what each agent and workflow costs to run. Not estimated: actuals, logged per execution.
Three steps
LoopBrake wraps your existing agent calls. No rewrite required. It observes what's already running.
Define limits per agent, per workflow, or per run. Set them once; LoopBrake enforces them from that point on.
When a run approaches its limit or enters a loop pattern, LoopBrake stops it and alerts you, not your finance team.
Who gets the most out of LoopBrake
Teams burned by unexpected invoices
You've seen what happens when an agent loops overnight. LoopBrake is the circuit breaker you needed before that happened.
Platform engineers building multi-agent systems
Governance belongs in the platform layer, not bolted on after the first billing surprise. LoopBrake gives you that foundation.
Teams already using ContextPrune
ContextPrune reduces what you send. LoopBrake controls what you spend. Together they cover the two biggest levers on your AI inference bill.
Common questions
What is LoopBrake?
LoopBrake is a runtime cost governance layer for AI agents. It detects loops, enforces budgets, and halts runaway runs before they turn into unexpected invoices.
Does LoopBrake require changes to my agent code?
Minimal. LoopBrake wraps your existing calls rather than requiring a rewrite. Most teams are instrumented in under an hour.
What kinds of loops does LoopBrake detect?
Repeating call sequences, stuck retry chains, and escalating token usage patterns that indicate an agent is not making forward progress.
Does LoopBrake work with ContextPrune?
Yes. They address different parts of the cost problem. ContextPrune reduces token usage per call; LoopBrake prevents runaway runs from calling too many times.
LoopBrake handles the watching so you don't have to.
Go to LoopBrake