This failure is intermittent. Design an observation plan before proposing a fix.

Define the event to capture, correlation identifiers, timestamps, safe structured logs, metrics, traces, environment and version markers, input characteristics, concurrency, resource pressure, external dependencies, and retention window. Prevent secrets, personal information, and excessive payloads from entering diagnostics.

Compare successful and failed executions and look for the smallest distinguishing conditions. State how many observations are available and whether they support causation or only correlation. Propose a bounded experiment that changes one variable at a time.

Include an operational stop condition, data-removal plan, cost limit, and the evidence required before implementing a permanent correction.