Worked on enhancing security and reliability in the yt-dlp/yt-dlp repository by implementing robust PO token sanitization and validation. Focused on backend development using Python, the work addressed input validation by ensuring tokens are free from invalid characters, aligning with updates in Python 3.14.4 CPython. This approach reduced token-related errors and potential security vulnerabilities, improving user input handling across different environments. Emphasized error handling and data validation to maintain consistent token processing behavior across Python versions. The changes decreased support incidents related to token parsing and strengthened trust in user input processing for integrations relying on yt-dlp/yt-dlp.