Why LLM Agent Token Costs Are Hard to Attribute, and What Telemetry Design Can Do About It
This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.
AI observability is the practice of collecting traces, metrics, and logs from LLM-backed applications so that latency, quality, and token cost can be explained per model call, per agent, and per conversation, not only per HTTP request. Disclosure: I work at Bonree, an observability vendor. Most of…
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- 2026-09-24 08:53 · DEV Community — AI
Why LLM Agent Token Costs Are Hard to Attribute, and What Telemetry Design Can Do About It