Troubleshooting Call Failures in Custom Private GPTs in a Degraded State
Your carefully tuned custom assistant suddenly gives irrelevant answers and can't follow instructions? A deep-dive troubleshooting guide to the cascading failures of custom knowledge bases and Actions interfaces after the underlying base model is secretly swapped for a lightweight model.
1. Why Are GPTs So Sensitive to Degraded Performance?
Custom GPTs rely heavily on top-tier instruction-following and long-context alignment capabilities.
When the underlying model is quietly downgraded by the system to a smaller model, it simply cannot handle large System Instructions and a complex external knowledge base at the same time, causing responses to frequently forget the persona or even throw errors.
2. Troubleshooting Conclusion
Don't assume the problem is that you wrote your GPTs prompt incorrectly! First, use a test prompt to check GPT-4o's performance in the general main interface. Once the global degradation issue is resolved, your private GPTs assistant will instantly regain all its magic.