1 pointby deborahjacob3 hours ago3 comments
  • jasendoan hour ago
    Cost attribution gets even worse when you factor in the bad decisions. Retries, abandoned tool calls, and cascading failures that still hit your bill but never show up in traces.
    • deborahjacob11 minutes ago
      I’m building an OTel-based SDK that wraps the billable edges (entrypoint, LLM/tool clients, async publish/consume) and emits both traces for debugging and a lightweight event ledger for run/attempt lifecycle and call boundaries. I define the workflow + possible outcomes up front, then attribute all runs and attempts to the final outcome event to get the true cost per outcome
  • 3 hours ago
    undefined
  • deborahjacob3 hours ago
    What’s your approach to end-to-end AI cost attribution (model + infra + data) for agents in production?