Worked on improving the reliability of the OpenAI Server Conversation Tracker within the openai/openai-agents-python repository. Addressed a bug where stale object references led to incorrect deduplication by replacing set-based tracking with a list-based approach, ensuring that object instances were accurately tracked even when memory addresses were reused. This update reduced false duplicate detections and enhanced the accuracy of conversation tracking in live server environments. The work involved backend development and unit testing, leveraging Python to implement and validate the fix. All changes were documented with explicit commit and issue references, supporting traceability and maintainability of the codebase.