Topic
Instrumenting LLM agents with logs, session traces, latency and token metrics, and evals so runs can be inspected and debugged after the fact.
A devops.com essay argues durability, per-step identity and decision-level observability belong in the agent runtime, not layered on later. The failure economics support the claim.
Reality
A write-up on assembling execution trees from span events argues the hard part is not collecting logs but handling out-of-order, concurrent, incomplete and retried spans without lying.
Reality
A scheduled agent run reported four articles and zero replies for two days. The handle it was querying did not exist. The real numbers were five and two.
Reality
Optima lets buyers build benchmarks from their own datasets and agent traces, then scores candidate models on quality, cost per task and time per task.
Reality
A dev.to series argues non-deterministic, multi-step agents cannot be operated on the request-level logging most teams already have. The argument holds, and the work it implies is unglamorous.
Reality