Most agent monitoring is "log everything and grep later." That's not monitoring — that's archaeology.
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What We Actually Need
Live execution view — Which agent is running right now? #
State inspection — What data is Agent C holding? #
Failure forensics — Why did Agent B timeout? What were its inputs? #
Performance metrics — Per-agent latency, token usage, error rate
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AgentForge's Monitoring Stack
Execution Trace (Structured JSON) Every pipeline run generates a trace:
WebSocket Dashboard
Real-time WebSocket feed showing:
- Active agents (with heartbeat)
- Queue depth per agent
- Error rate (1-min sliding window)
- Cost per run (token usage × model price)
Alert Rules
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Why This Matters for Production
When your agent pipeline runs 100+ times per day, "check the logs" doesn't scale. You need:
- Proactive alerts (not reactive grep)
- Structured traces (not raw text)
- Per-agent metrics (not aggregate "it works")
We built AgentForge because nothing else gave us this.
https://github.com/agentforge-cyber/agentforge-mvp How do you monitor your agent systems today? Raw logs or structured traces?
Posted on 2026-06-05 by the AgentForge team.
source & further reading
dev.to — original article
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