runtime-log-triage

To find the root cause of a failed AIDD workflow stage run, analyze runtime and adapter logs to identify the earliest decisive failure signal. This classifies issues into document, model, auth, or environment errors, preventing you from chasing downstream symptoms.

The best way to analyze runtime logs for adapter authentication failures is to pinpoint the earliest failure signal across runtime.log and events.jsonl. This isolates the actual root cause like missing API keys or permission errors instead of final error symptoms.

Runtime log triage classifies workflow troubleshooting errors by analyzing adapter logs and validator reports. It categorizes failures into document validation, model, adapter, authentication, permission, timeout, and environment types to guide fast targeted fixes.

Yes, you can use log analysis to detect document validation errors in AI software delivery. By examining validator-report.md and events.jsonl, the analysis isolates malformed stage documents as the first decisive failure signal for accurate resolution.

Your AIDD stage run fails with a timeout error in the runtime logs when a runtime timeout is identified as the earliest decisive failure signal. Analyzing the log evidence chain confirms if the timeout is the root cause or a downstream symptom.

When runtime log analysis shows a model error instead of an adapter error, resolve the specific model classification issue. The structured analysis provides an evidence chain ensuring you fix the actual root cause rather than wasting effort on adapter symptoms.