Your AI agent crashed at 3 AM. Nobody noticed until morning. By then, your trading bot missed 6 hours of trades, your scraper lost a full day of data, and your client is asking why their agent stopped responding.

This is the most common failure mode in production AI agents — and the hardest to catch with traditional monitoring tools.

Why traditional monitoring doesn't work for AI agents

Tools like Datadog, New Relic, and Prometheus are built for web servers and microservices. They monitor HTTP response times, error rates, and CPU usage. But AI agents fail differently:

•Silent crashes: The process exits without throwing an HTTP error. No request fails because there are no incoming requests — the agent initiates outbound work.

•Runaway loops: The agent gets stuck calling the same API 10,000 times. CPU is fine. Memory is fine. But your OpenAI bill is $500 and climbing.

•Intermittent failures: The agent works for hours, then hits an edge case in the LLM response and stops. No pattern in traditional metrics.

The heartbeat approach

The solution is simple: make your agent send a "heartbeat" ping every 60 seconds. If the ping stops, something is wrong.

import clevagent
clevagent.init(
    api_key=os.environ["CLEVAGENT_API_KEY"],
    agent="my-trading-bot",
)
Your existing agent code — no other changes needed

That's 2 lines. ClevAgent now monitors your agent 24/7:

•Crash detection: No heartbeat for 120 seconds → alert sent via Telegram/Slack

•Auto-restart: If you're using Docker, systemd, or launchd, ClevAgent restarts the container automatically

•Loop detection: Unusual tool call patterns trigger warnings before your budget is drained

•Daily report: Every morning, get a summary of uptime, cost, and events per agent

Zero-code alternative: the Runner

Don't want to touch your agent's code? Use the ClevAgent Runner — a lightweight daemon that monitors any process:

export CLEVAGENT_API_KEY=cv_your_key
clevagent-runner start --watch docker:my-trading-bot

The Runner sends heartbeats on behalf of your agent and restarts it if it crashes. No SDK integration needed.

What you get

Within 60 seconds of setup:

Real-time dashboard showing agent status, heartbeat history, and events

Telegram/Slack alerts when agents crash or loops are detected

Auto-restart for Docker, systemd, launchd, and Kubernetes

Cost tracking to catch runaway API spending before it drains your budget

Start monitoring free

ClevAgent is free for up to 3 agents. No credit card required.

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