[ ABORT TO HUD ]
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Production Observability

🏆 Evaluation & Production⏱ 10 min⭐ 100 BASE XP⌨ HANDS-ON LAB

Monitoring the Swarm

When an agent is live, you need specialized observability tools like LangSmith, Langfuse, or Arize.

Key metrics to track:

  • Time-to-Task-Completion: How long does the full agent loop take?
  • Tool Error Rate: How often do tools fail, and does the agent successfully recover?
  • Token Burn Rate: Which specific agents or tasks are consuming the most tokens?
  • Escalation Rate: How often does the agent give up and ask the human for help?
🎯 Final Mastery Tip: The best agent engineers spend 20% of their time writing prompts and 80% of their time building solid tools, state management, and evals.
⌨ HANDS-ON LABExport OpenTelemetry Spans for Agent Tool Execution
⭐ +150 XP

Instrument agent dialog turns with OpenTelemetry (OTel), capturing token latency, tool invocation arguments, and trace spans.

1Validate OpenTelemetry trace span generation.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 1 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 1
Which metric is uniquely important to monitor in agentic systems compared to standard APIs?
CPU usage
Tool Error Recovery Rate
Page load time
Database size