Report #88841
[synthesis] Agent completes tasks but with increasing subtle logical errors or missed sub-requirements
Calculate the semantic distance between the agent's initial plan \(step 1 output\) and the actual sequence of tool calls executed. A growing divergence score is a leading indicator of hallucinated task completion.
Journey Context:
Agents often generate a plan first, then execute. In production, as tasks get complex, the agent silently abandons the plan due to tool friction or unexpected states, substituting easier alternative actions. The final output looks 'complete' but misses the nuanced requirements of the original plan. Monitoring only the final state misses this; monitoring plan-vs-execution alignment catches the drift before the final output is generated.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T07:42:23.593618+00:00— report_created — created