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.
Note For more information about AI Model Version asset statuses, go to Configure the lifecycle stages of AI Governance assets.
Synchronized metadata per asset type
This table shows the metadata for the Azure AI Foundry integration asset types. If you do not see any of the listed synchronized metadata, you can add characteristics to the layout on the asset type page.
Azure AI Foundry
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| AI Base Model | Creation Date in Source | CreationDateInSource |
| Retirement Date in Source | RetirementDateInSource | |
| Azure AI Foundry Model Version | Description from source system | DescriptionFromSourceSystem |
| Version | Version | |
| Supported Input Modalities | SupportedInputModalities | |
| Supported Output Modalities | SupportedOutputModalities | |
| Supported Model Customizations | SupportedModelCustomizations | |
| 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 Model Deployment | Initiating User in Source | InitiatingUserInSource |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| Implemented Content Filtering | ImplementedContentFiltering | |
| Compute Configuration | ComputeConfiguration | |
| Azure AI Foundry Agent | Description from source system | DescriptionFromSourceSystem |
| Instructions | Instructions | |
| Document creation date | DocumentCreationDate | |
| Creation Date in Source | CreationDateInSource | |
|
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 Agent uses / is used by AI Model Version | AIAgentUsesAIModel | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent has agent config stored in / contains config files for Storage Container | AIAgentContainsFileContainer | |
| AI Agent Version | Version | Version |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool | |
| AI Agent Tool | AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool |
| Azure AI Foundry Project | Project ID | ProjectId |
| Location | Location | |
| URL | Url | |
| AI Endpoint | Access Method | AccessMethod |
| Access Instructions | AccessInstructions | |
| Traffic Split | TrafficSplit | |
| AI Monitor | Data Drift Detection Enabled | DataDriftDetection |
| Prediction Drift Detection Enabled | PredictionDriftDetection | |
| Schedule | Schedule | |
| Alert Configuration | AlertConfiguration | |
| URL | Url | |
| File | Description | Description |
| URL | Url | |
| Document size | DocumentSize | |
| Storage Container |
Microsoft Copilot Studio
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| AI Agent | Description from source system | DescriptionFromSourceSystem |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Instructions | Instructions | |
| Tool Usage | ToolUsage | |
| Source Tags | SourceTags | |
|
Status in Source Status is either Published or Draft. |
StatusInSource | |
| Technology Asset groups / is grouped by Technology Asset | TechnologyAssetGroupsTechnologyAsset | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version | Description from source system | DescriptionFromSourceSystem |
| Version | Version | |
| Owner in Source | OwnerInSource | |
| Creation Date in Source | CreationDateInSource | |
| Modification Date in Source | ModificationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Source Tags | SourceTags | |
|
Status in Source Status is either Published or Draft. |
StatusInSource | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool | |
| AI Agent Tool | AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool |
| File | URL | Url |
Microsoft Agent Builder
- Modification Date in Source is the date when the agent was last published. It's empty if the agent was never published.
- Tool Usage is
Web Searchand only set if web search is enabled for the agent's knowledge. A single sharedWeb SearchAI Agent Tool asset is created only if at least one agent has web search enabled. - Each agent has one AI Agent Version asset, named "<agent name> (v1)". The integration doesn't ingest version history.
| Asset type | Synchronized metadata | Public ID |
|---|---|---|
| AI Agent | Creation Date in Source | CreationDateInSource |
| Modification Date in Source | ModificationDateInSource | |
| Initiating User in Source | InitiatingUserInSource | |
| Tool Usage | ToolUsage | |
|
Status in Source Status is either Published or Draft. |
StatusInSource | |
| Technology Asset groups / is grouped by Technology Asset | TechnologyAssetGroupsTechnologyAsset | |
| AI Agent has version / is version of AI Agent Version | AgentHasVersion | |
| AI Agent Version | Owner in Source | OwnerInSource |
| 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 | |
| AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool | |
| AI Agent Tool | AI Agent Version can call / can be called by AI Agent Tool | AgentVersionCallsTool |
Operational trust metrics
The Azure AI Foundry integration also reports operational trust and token consumption metrics, sourced from Azure's continuous evaluation feature (pass/fail) and Azure Monitor (token counts).
| Asset type | Operational trust metrics | Token consumption metrics |
|---|---|---|
| AI Agent Version | Daily pass/fail results from Azure's continuous evaluation judges, via a linked AI Monitor asset | Daily input and output token counts |
- Like attributes, these metrics are stored internally. However, unlike attributes, these aren't accessible through the Collibra Platform APIs.
- These metrics power the Agents dashboard, the Quality tab on AI Agent assets, and the Operational Health theme on the AI Trust Score.
- Azure's continuous evaluation feature (the source of pass/fail results) only works for agents in Foundry projects because its evaluation API is only available on the Foundry project endpoint. These agents receive an AI Monitor asset via their AI Agent Deployment complex relation. Agents in classic Azure ML workspaces are still cataloged but do not receive an AI Monitor asset. This depends on the resource type, not on the agent API (Assistants or Agents) that the agent uses.
- Agents are skipped until their AI Agent Version asset exists, so you must run the synchronization before the metrics can appear.
- On the first run, metrics are collected for up to the last 61 days. After that, each run collects only the days since the last collected day.
- The metrics are collected every hour on their own monitoring schedule, separate from the regular synchronization schedule. Values are stored as one total per day. Metrics can lag by about two days, so recent days can appear empty until Azure has the data. Once a day's metrics are collected, its values aren't updated. Evaluation runs or token counts that Azure reports late aren't picked up for that day.
- No additional Azure permissions are required to ingest operational trust or token consumption metrics for the Azure AI Foundry integration.
To explore these metrics, in Settings, under AI Command Center, switch on Operational trust for AI agents.
For more information, go to Operational trust for AI agents and AI monitoring for AI agents.