During April 2026, Oncu Evtv enhanced the error classification logic in the NousResearch/hermes-agent repository, focusing on scenarios where usage-limit errors occur without HTTP status codes. By refining the error_classifier module in Python, Oncu enabled the system to distinguish between transient rate limits and billing exhaustion based on message patterns, reducing the risk of misclassification. The work included implementing robust error handling and integrating targeted unit tests to validate the new logic across various edge cases. This approach improved alerting accuracy and supported better billing decisions, demonstrating depth in API integration, error handling, and testing within a focused feature delivery.