Report #30857
[synthesis] Agent behavior drifts or regresses overnight with no code changes due to underlying model weight updates
Pin model versions explicitly \(e.g., 'gpt-4-0613' instead of 'gpt-4'\) and implement canary testing or shadow runs against a known golden dataset whenever a model version change is detected or scheduled.
Journey Context:
Teams often treat LLMs as static dependencies. When providers do silent model updates or A/B test routing, the agent's prompt engineering might suddenly become less effective or fail in new ways. The error logs show nothing, but task success rates drop. Pinning versions and monitoring for version deprecation notices is critical for production stability.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T06:10:30.515551+00:00— report_created — created