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.
Newly ingested assets are assigned the first status listed in your Operating Model statuses, and existing assets keep their assigned status.
Synchronized metadata per Azure AI Foundry asset type
This table shows the metadata for the Azure AI Foundry asset type. If you do not see any of the listed synchronized metadata, you can add characteristics to the layout on the asset type page.
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| Azure AI Foundry agent | Description | Description |
| Instructions | Instructions | |
| Document creation date | DocumentCreationDate | |
|
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. |
||
| Azure AI Foundry Model Version | Description | Description |
| Model Accuracy | ModelAccuracy | |
| Model Precision | ModelPrecision | |
| Mean Squared Error | MeanSquaredError | |
| Mean Absolute Error | MeanAbsoluteError | |
| Model Type | ModelType | |
| Feature Importance | FeatureImportance | |
| Version | Version | |
| Repository | Repository | |
| Request Rate Limit | RequestRateLimit | |
| Token Rate Limit | TokenRateLimit | |
| Required Content Filtering | ContentFilter | |
| 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. | ||
| Azure AI Foundry Project | Description | Description |
| Project ID | ProjectId | |
| Location | Location | |
| URL | Url | |
| AI Base Model | Description | Description |
| Model Name | ModelName | |
| Version | Version | |
| Model Lifecycle Status | ModelLifecycleStatus | |
| Creation Date in Source | CreationDateInSource | |
| Retirement Date in Source | RetirementDateInSource | |
| Content Filter | ContentFilter | |
| AI System Provider | AISystemProvider | |
| AI Monitor | Data Drift Detection Enabled | DataDriftDetection |
| Prediction Drift Detection Enabled | PredictionDriftDetection | |
| Schedule | Schedule | |
| Alert Configuration | AlertConfiguration | |
| AI Model Deployment | Description from Source | DescriptionFromSourceSystem |
| Initiating User in Source | InitiatingUserInSource | |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| Retirement Date in Source | RetirementDateInSource | |
| Implemented Content Filtering | ImplementedContentFiltering | |
| Compute Configuration | ComputeConfiguration | |
| AI Endpoint | Access Method | AccessMethod |
| Access Instructions | AccessInstructions | |
| Traffic Split | TrafficSplit |