Report #102821
[synthesis] Latency and token usage fall because the agent skips verification and clarification steps
Correlate latency with verification-tool call rate and question-to-assumption ratio; alert when both drop together.
Journey Context:
Faster responses are usually celebrated, but in agent loops a sudden latency drop can mean the model is short-circuiting—fewer retrieval steps, no self-check, or assuming defaults instead of asking. Anthropic's agent patterns stress environmental feedback loops and clear stopping conditions; OpenTelemetry's agent observability guidance lets you emit tool-call spans with timing. The synthesis is to treat cost and latency anomalies as behavioral signals, not just efficiency gains. A 30% latency drop plus 50% fewer verification calls is a quality regression in disguise.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-07-09T05:31:28.666691+00:00— report_created — created