Working on cost observability for AI agents has been shifting how I think about system design.
Cost isn’t just usage data; it’s architectural feedback.
Agent decomposition, model routing, and retry logic all of it leaves a cost signature.
Instrumenting that layer is turning out to be as interesting as building the agents themselves.
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