Per-task budget caps, circuit breakers, and kill switches for enterprise agent fleets. Don't discover cost explosions on next week's invoice.
The production failure patterns that are quietly burning your AI budget right now.
Agent encounters error → retries → new error → tries to fix → loops indefinitely. Each iteration burns tokens and may trigger real API calls, DB writes, and emails.
✅ DetectedLong-running tasks accumulate context. Each step costs more as the window fills. Agent loses critical info when truncated — then repeats work at even higher cost.
✅ DetectedA 3-agent chain with 70% individual success = 34% overall. Failed agents trigger downstream retries. Costs compound exponentially across the chain.
✅ DetectedAverage task is $0.40. A large PR review hits $12. Without budgets, one bad day can blow your monthly AI spend. Our circuit breaker catches it mid-run.
✅ DetectedAgent "confirms" a financial match by fabricating data. Agent sends welcome email to candidate who hadn't accepted. Real-world cost + trust damage.
✅ DetectedOWASP's #1 agent risk: excessive functionality + excessive permissions + excessive autonomy. Agents with tools they don't need are a cost and security bomb waiting to go off.
✅ DetectedWe sit between your agent orchestration layer and the LLM APIs. No agent code changes needed.
Set maximum dollar spend per agent invocation. Configurable per use case. Kill the run if exceeded — no exceptions.
If hourly spend exceeds 3× rolling average, pause ALL agent executions and alert your team immediately. Stops bleeding in real time.
One-tap agent termination via Telegram or Slack. No dashboards to log into. Your ops team kills a runaway agent in under 2 seconds.
Every token attributed to team, project, and user. Visibility creates accountability. See who's spending what, on which agent, for which task.
Detect runaway agents while they're running — not in next week's cost report. Webhook alerts when spend exceeds configurable thresholds.
Route simple steps to cheap models (Haiku, GPT-4o-mini). Reserve expensive models (Opus, GPT-4o) only when reasoning quality is critical. Enforce at proxy level.
Drop-in proxy. No code changes. You keep your existing agent framework.
Point your agent's LLM endpoint to ours. We proxy every request — tracking cost, tokens, and tool calls in real time.
We detect anomalies: retry loops, context spirals, cost spikes, and excessive tool use. Circuit breakers trip automatically on configurable thresholds.
Alerts fire to your team via Telegram/Slack. One tap kills the agent. Cost reports show you exactly what happened and who to charge.
No. You just point your LLM endpoint to our proxy. We intercept every request, track costs, and enforce budgets. Works with LangChain, CrewAI, AutoGen, and direct API calls.
Observability shows you what happened. We stop it from happening. Circuit breakers, kill switches, and budget caps are active enforcement — not dashboards you have to watch.
We immediately pause the offending agent and send a Telegram/Slack alert with the context: which agent, what it was doing, how much it spent, and a kill button. Your ops team responds in seconds.
Yes. Configure per-agent, per-team, or per-use-case budgets. A customer support agent gets $0.10/task. A code review agent gets $2/task. Different rules for different risks.
Yes. All plans include a 14-day trial. If we don't catch at least one runaway or cost anomaly in your first month, we'll refund your first month completely.
We support OpenAI, Anthropic, Google, and open-source models via any OpenAI-compatible endpoint. One dashboard, one set of rules, all providers.
Every LLM call is tagged with your metadata (team, project, user, agent name). You get a breakdown: which team spent what, on which agents, for which tasks. Chargebacks become trivial.
From £49/month. 14-day trial. Cancel anytime.