agent-platform-model-registry

The Agent Platform Model Registry manages the model lifecycle by allowing you to upload, list, describe, update, and delete machine learning models and their versions. This simplifies tracking and organizing models.

Listing all models in a Google Cloud model registry is done by querying the Agent Platform. This retrieves and displays all registered machine learning models and their versions, simplifying tracking and organization.

Yes, you can update and delete model versions in the Agent Platform without handling deployment. The model registry manages lifecycle operations strictly, separating model organization from deployment complexity.

Yes, the Agent Platform Model Registry supports uploading new machine learning models. It handles the complete lifecycle operations required by developers and data scientists to populate and manage the registry.

Avoid using the Agent Platform Model Registry if your workflow requires model training or deployment capabilities. It is designed strictly for lifecycle management operations like uploading, listing, and deleting models.