Most difficult agent incidents begin with one question: Why did the agent do that? Why did it...
Most difficult agent incidents begin with one question:
Why did the agent do that?
Why did it call this tool? Why did it retry? Why did it skip the notification? Why did it trust stale data? Why was an action blocked even though every API call succeeded?
Traditional logs often answer a narrower question: what executed?
agent started
Agent observability has gotten good at answering what happened: OpenTelemetry spans for each model...
"Why did the Agent do that?" If you are building Agentic systems today, this is the question that...
Learn how to read AI agent traces as a roadmap and how to run production experiments that measure whether improvements hold in…
Traditional observability was designed for deterministic software, focusing on infrastructure health through CPU usage, memory,…
Debug traces, cost tracking, and session persistence: what production agent infrastructure actually needs. Why frameworks aren't…
A span layout for agent runs using the OpenTelemetry GenAI conventions, and the specific attributes that make a failed forty-step…
