After the synchronization, the assets are available in the specified domain.
Warning Do not move the assets to another domain. Doing so may lead to errors during future synchronizations.
By default, the assets are shown in a plain list, but you can enable a multi-path hierarchy to show it in a tree structure.
The Default Asset Status field in the capability determines the status of synchronized assets.
- If you select No Status, newly created assets receive the first status listed in your Operating Model statuses, and existing assets keep their assigned status.
- If you select Implemented, all assets receive the "Implemented" status.
Note For more information about AI Model Version asset statuses, go to Configure the lifecycle stages of AI Governance assets.
Synchronized metadata per MLflow AI asset type
This table shows the metadata for the MLflow AI assets. If you do not see any of the listed synchronized metadata, you can add characteristics to the layout on the asset type page.
- If you remove a label in MLflow after a MLflow synchronization, the attribute for the removed label is removed when you integrate MLflow again.
- The Instructions attribute is unavailable for AI Agent and AI Agent Version assets. MLflow does not store the agent's system prompt in the model registry.
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| AI Base Model | Description From Source System | DescriptionFromSourceSystem |
| Source Tags | SourceTags | |
| Creation Date in Source | CreationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| AI Base Model has version / is version of AI Model Version | ModelHasVersion | |
| MLflow AI Model Version | Description From Source System | DescriptionFromSourceSystem |
| Version | Version | |
| Model Accuracy | ModelAccuracy | |
| Model Precision | ModelPrecision | |
| Mean Squared Error | MeanSquaredError | |
| Mean Absolute Error | MeanAbsoluteError | |
| Source Tags | SourceTags | |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Any custom metrics defined via the configuration. If you use custom metrics, ensure that you add them to the assignment and layout on the asset type page. | ||
| AI Base Model has version / is version of AI Model Version | ModelHasVersion | |
| AI Model Version trained by / trains Asset | AIModelTrainedByAsset | |
| AI Agent | Description From Source System | DescriptionFromSourceSystem |
| Source Tags | SourceTags | |
| Creation Date in Source | CreationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
|
AI Agent has version / is version of AI Agent Version |
AgentHasVersion | |
| AI Agent Version | Description From Source System | DescriptionFromSourceSystem |
| Version | Version | |
| Source Tags | SourceTags | |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
|
AI Agent has version / is version of AI Agent Version |
AgentHasVersion |