Agent Observability Debugging

The chapters in this module, in reading order.

#	Chapter
00	Debugging Agents in Production — The Five-Year-Old Version
01	Failure taxonomy — name the bug in ten seconds
02	From complaint to trace — the first move when a user reports a bug
03	Reading a trace — anatomy of the case file
04	LLM-specific traces — watch the model like a subsystem, not a magic box
05	Reproducing the failure — freeze the scene before the trail goes cold
06	The layer-isolation lineup — five suspects, one at a time
07	Prompt-layer bugs — the first suspect in the lineup
08	Tool-layer bugs — where physical reality bites the agent
09	Loop-layer bugs — when the control flow itself is broken
10	Memory-layer bugs — the fourth suspect lies through what it remembers
11	Model-layer bugs — when the suspect is the brain itself
12	Multi-agent handoff bugs — the seams are the crime scene
13	Drift detection — the cold case
14	Latency and cost regressions — when the answer is right but the bill is wrong
15	Debugging tools workflow — LangSmith, Phoenix, Braintrust in practice
16	Span tagging for debugging — small labels, huge investigation power
17	Regression eval as a lock — turning a fixed bug into a permanent guardrail
18	Postmortem for agents — the detective's case-closed report
19	Data privacy and retention — observe enough to debug, not enough to betray users
20	Honest admission — what debugging agents in production still cannot solve