[{"data":1,"prerenderedAt":75},["ShallowReactive",2],{"term-a\u002Fagent-observability":3,"related-a\u002Fagent-observability":59},{"id":4,"title":5,"acronym":6,"body":7,"category":40,"description":41,"difficulty":42,"extension":43,"letter":44,"meta":45,"navigation":46,"path":47,"related":48,"seo":53,"sitemap":54,"stem":57,"subcategory":6,"__hash__":58},"terms\u002Fterms\u002Fa\u002Fagent-observability.md","Agent Observability",null,{"type":8,"value":9,"toc":33},"minimark",[10,15,19,23,26,30],[11,12,14],"h2",{"id":13},"eli5-the-vibe-check","ELI5 - The Vibe Check",[16,17,18],"p",{},"Agent observability is the flight recorder for AI agents. Instead of only seeing the final answer, you get a full replay of every thought, every tool call, and every response along the way, so when the agent does something baffling you can actually go find out why instead of just shrugging at the output.",[11,20,22],{"id":21},"real-talk","Real Talk",[16,24,25],{},"Agent observability is the practice of instrumenting agentic systems to capture traces of their reasoning steps, tool calls, latencies, and token usage, typically visualized as a timeline or span tree. It extends traditional distributed tracing to cover the non-deterministic decision points unique to LLMs, and it's essential for debugging, cost analysis, and triaging eval regressions.",[11,27,29],{"id":28},"when-youll-hear-this","When You'll Hear This",[16,31,32],{},"\"We added agent observability so we can see exactly which tool call went sideways.\" \u002F \"Without a trace viewer, debugging the agent is just guessing.\"",{"title":34,"searchDepth":35,"depth":35,"links":36},"",2,[37,38,39],{"id":13,"depth":35,"text":14},{"id":21,"depth":35,"text":22},{"id":28,"depth":35,"text":29},"ai","Agent observability is the flight recorder for AI agents.","intermediate","md","a",{},true,"\u002Fterms\u002Fa\u002Fagent-observability",[49,50,51,52],"Distributed Tracing","OpenTelemetry","Trajectory","Eval Harness",{"title":5,"description":41},{"changefreq":55,"priority":56},"weekly",0.7,"terms\u002Fa\u002Fagent-observability","LEiowiMUpq0pLjvkLaBdvYbjOUTm4EYaBZLYNXklCho",[60,65,68,72],{"title":49,"path":61,"acronym":6,"category":62,"difficulty":63,"description":64},"\u002Fterms\u002Fd\u002Fdistributed-tracing","backend","advanced","Distributed tracing is request tracing's big brother — it works across multiple services, servers, and even data centers.",{"title":52,"path":66,"acronym":6,"category":40,"difficulty":42,"description":67},"\u002Fterms\u002Fe\u002Feval-harness","An eval harness is the automated testing rig for AI behavior instead of code correctness.",{"title":50,"path":69,"acronym":70,"category":62,"difficulty":42,"description":71},"\u002Fterms\u002Fo\u002Fopentelemetry","OTel","OpenTelemetry is a standard for collecting telemetry data (traces, metrics, logs) from your applications — without being locked into any specific monitorin...",{"title":51,"path":73,"acronym":6,"category":40,"difficulty":63,"description":74},"\u002Fterms\u002Ft\u002Ftrajectory","A trajectory is the full replay of everything an agent did to get from your prompt to its final result, not just the destination but the whole road trip: e...",1792528059553]