Worked on stabilizing artifact handling in the google/adk-python repository by addressing a critical issue with text artifact integrity. Focused on backend development and API design using Python, the work involved fixing a bug where the .text attribute of artifacts loaded from Google Cloud Storage could be lost. The solution introduced a GCS blob metadata flag to reliably identify and reconstruct text artifacts, ensuring that data created with Part.from_text() is preserved during load operations. This approach maintained compatibility with existing blobs and non-text artifacts, improving data integrity and reducing downstream errors. Unit testing was used to validate the reliability of these changes.