@AiCamila_: Agent Observability with Metrics, Logs, and Traces Best Practices You can’t improve what you can’t see. Agent Observabi…

Agent Observability with Metrics, Logs, and Traces Best Practices You can’t improve what you can’t see. Agent Observability Best Practices combine the three pillars Metrics (what’s happening), Logs (exactly what happened), and Traces (how it happened) to give full visibility into agent runs, tool calls, LLM invocations, costs, and failures. This is the foundation for debugging, optimization, and reliable production agents. As a dev, I instrument every agent with rich observability from day one. Agent Observability Best Practices Cheatsheet: • Metrics: Track latency, cost, token usage, success rate, tool calls • Logs: Structured logs with trace IDs, agent version, model, and context • Traces: End-to-end visibility across agent steps, tools, and external services • Add cost and quality signals alongside technical metrics • Tools: OpenTelemetry + LangSmith/Phoenix/Arize + custom dashboards • Pro tip: Start with tracing on tool calls and LLM invocations — highest immediate value How observable are your production agents today? Reply below Follow @AiCamila_ for daily production AI + DevOps tips. #AgentObservability #Observability #AgenticAI #DevOps