Observability for AI Agents

When an AI agent makes a wrong decision, teams need answers fast: what happened, why, and how to prevent it next time. Observability provides those answers through structured logs, traces, and metrics. Every decision point and tool call should be recorded with context.\n\nModern stacks integrate agents with OpenTelemetry to trace requests end-to-end. Replay systems allow developers to simulate previous sessions and tune prompts or guardrails accordingly. Cost monitoring ensures that experiments do not become financial surprises.\n\nBy treating agents like microservices with full observability, organizations gain the confidence to scale them into critical workflows.