debug-agent-from-traces

Diagnose slow LLM agent performance by analyzing observability traces to systematically walk through the trace tree and identify the exact divergence point causing latency. It helps pinpoint common root causes like retry storms or context bloat.

LLM agents return empty outputs or incorrect results due to root causes like wrong retrieved context, prompt rendering bugs, or swallowed exceptions. Trace analysis helps triage these symptoms by inspecting the observability trace tree.

Trace analysis for LLM agent diagnosis is the process of inspecting observability trace trees to find why agents fail or underperform. You need it when experiencing high costs, slow performance, or incorrect results and require root cause identification.

Yes, you can use trace analysis to find the root cause of high LLM agent costs. By walking through the trace tree, you can identify cost drivers like context bloat or retry storms that inflate token usage and operational expenses.

The best way to triage LLM agent issues is by matching symptoms like wrong answers or high costs to guidance on where to look first in the observability trace. This systematic approach helps identify divergence points and common root causes efficiently.

Prevent recurring LLM agent failures by turning your trace diagnosis fixes into regression tests. After identifying the root cause in the observability trace, implementing regression tests ensures that issues like swallowed exceptions or context bloat do not reappear.