
During May 2025, Davide Pollonini enhanced model run tracking in the Labelbox/labelbox-python repository by introducing a model_app_id field to the model run creation flow. Using Python and focusing on backend development and API integration, he updated the ModelRun schema and ensured the new field was exposed through GraphQL, including in Foundry app creation mutations. This work improved the traceability and association of model runs with specific apps, supporting better observability and analytics. The changes prioritized API consistency and maintainability, aligning with repository standards. No bugs were addressed during this period, as efforts centered on feature development and schema improvements.

May 2025: Delivered end-to-end model run tracking enhancement in Labelbox Python integration by adding model_app_id to the model run creation flow, exposing it via GraphQL, and updating the ModelRun schema. This enables precise association of model runs with Foundry apps, improving observability, debugging, and analytics. No major bugs fixed this month; changes focused on API consistency, maintainability, and alignment with repo standards.
May 2025: Delivered end-to-end model run tracking enhancement in Labelbox Python integration by adding model_app_id to the model run creation flow, exposing it via GraphQL, and updating the ModelRun schema. This enables precise association of model runs with Foundry apps, improving observability, debugging, and analytics. No major bugs fixed this month; changes focused on API consistency, maintainability, and alignment with repo standards.
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