Worked on stabilizing the OpenAI converter within the PostHog/posthog-python repository by addressing a crash related to null token usage fields. Focused on backend development and API integration using Python, the work involved implementing a guard to handle null values gracefully, ensuring that the converter no longer fails when encountering incomplete data from OpenAI integrations. Expanded the test suite to cover these edge cases, reducing the risk of regression and improving overall reliability. By prioritizing robust error handling and comprehensive testing, the changes enhanced the stability of downstream integrations and contributed to a more resilient backend for the PostHog Python client.