AI Agent Term
Observability
Observability is the practice of logging, tracing, and monitoring agent actions so you can understand what happened, why it happened, and how to improve it. In production agent systems, observability is as important as the agent itself.
Good observability includes input logs, prompt snapshots, tool call traces, output records, and error reports. When an agent makes a mistake, you need to reconstruct the full chain of events to fix the root cause.
The OpsForEnergy agents log every heartbeat run, every classification decision, and every tool invocation to a structured log store. This makes shadow mode comparison straightforward and gives the team confidence to promote agents to live operation.