The Azure AI Foundry integration asset types are included out of the box with your Collibra Platform.
Important The functions of the Azure AI Foundry integration are limited if you do not enable AI Governance. When you enable AI Governance, you can add custom attributes or custom relations, for example, AI Model Version, to the Azure AI Foundry assets.
Azure AI Foundry
| Azure AI Foundry object | Asset type | Description |
|---|---|---|
| Model vendor from the model catalog (one per vendor), linked to base models and model versions | Vendor | A provider of goods or services. |
| Base model from the Cognitive Services model catalog | AI Base Model | Represents foundational business concepts that define the model’s purpose and governing principles in your Azure AI Foundry workspace. |
| Model behind a deployment, or a fine-tuned model; a fine-tuning job's output becomes its own version, chained back to the model it started from | Azure AI Foundry Model Version |
A subtype of AI Model Version that represents AI model versions in Azure AI Foundry. |
| Model deployment from Cognitive Services, ML online endpoints, or ML serverless endpoints | AI Model Deployment | The operational instance where a model version is assigned computational resources to execute and generate real-time outputs. |
| ML workspace or Foundry project | Azure AI Foundry Project | A subtype of AI Project that represents Azure AI Foundry projects. |
| Agent created through the Azure AI agents API | Azure AI Foundry Agent | A subtype of AI Agent that represents AI agents in Azure AI Foundry. |
| Each native agent's version, always version "1" | AI Agent Version |
A specific, immutable implementation of the model logic and parameters that serves as the audited "raw" model version before it is activated. For Azure AI Foundry, AI agents always have a single version. |
| Each tool type on a native agent, shared across agents since tool types aren't scoped to a project | AI Agent Tool |
A service accessible to an AI agent that automates tasks, generates content, or delivers intelligent insights. |
| Endpoint, connected to its agent version through the AI Agent Deployment complex relation when one exists for the agent's deployment | AI Endpoint | The access point for external systems that provides a consistent interface while allowing for the seamless exchange of underlying deployments. |
| ML workspace monitor schedule (drift monitor, linked to its deployment; imported without that link and logged with a warning if no deployment matches); Continuous Evaluation criterion of an agent in a Foundry project (judge monitor, attached as the optional monitor leg of the AI Agent Deployment relation) | AI Monitor | The configuration of automated tracking parameters and alerting thresholds used to observe a deployment’s real-world performance and detect deviations from expected behavior. |
| Root container named "/" of an agent or a model, holding its files | Storage Container | Represents the folder that contains the dataset files used to fine-tune your AI base models Azure AI Foundry workspace. This asset is optional, you can ingest this data during the integration by selecting the Do you want to create file assets? checkbox. |
| Agent file or fine-tuning file | File | Represents the dataset files used to fine-tune your AI base models Azure AI Foundry workspace. This asset is optional, you can ingest this data during the integration by selecting the Do you want to create file assets? checkbox. |
Microsoft Copilot Studio
| Microsoft Copilot Studio object | Asset type | Description |
|---|---|---|
| Agent | AI Agent | An autonomous system that perceives its environment, makes decisions based on predefined rules or learned patterns, and takes actions to achieve specific goals.. |
| Agent's single version | AI Agent Version |
A specific, immutable implementation of the model logic and parameters that serves as the audited "raw" model version before it is activated. |
| Agent tool; knowledge sources (one tool per agent, named "<agentName> Knowledge Source", only when the agent has knowledge sources or uploaded files) | AI Agent Tool |
A service accessible to an AI agent that automates tasks, generates content, or delivers intelligent insights. |
| Knowledge sources and uploaded files (one container per agent, named "<agentName> Files") | Storage Container | Represents the folder that contains the dataset files used to fine-tune your AI base models Azure AI Foundry workspace. This asset is optional, you can ingest this data during the integration by selecting the Do you want to create file assets? checkbox. |
| Knowledge sources and uploaded files, shown under its knowledge source or file name; URL-based sources get a Url attribute, uploaded attachments don't | File | Represents the dataset files used to fine-tune your AI base models Azure AI Foundry workspace. This asset is optional, you can ingest this data during the integration by selecting the Do you want to create file assets? checkbox. |
Diagram view
For information on the data that is integrated from Azure AI Foundry, go to Integrated Azure AI Foundry data.
To create this diagram view:
- Open the asset page.
- Click the
Diagram tab.
The diagram is shown in the default diagram view. - Click
to add a new view. - Select the Text option below the diagram view name.
The diagram view text editor is shown. - Copy the code from the Show JSON code section below and paste it in the diagram view text editor.
- Click Save.
- Edit the name and description of the diagram view as needed.
Show JSON code
Copy
{
"nodes": [
{
"id": "FoundationalAIModel",
"type": {
"id": "00000000-0000-0000-0000-000000031422"
}
},
{
"id": "AzureAIFoundryModel",
"type": {
"id": "00000000-0000-0000-0000-000000031411"
}
},
{
"id": "AIModelDeployment",
"type": {
"id": "00000000-0000-0000-0000-000000031500"
}
},
{
"id": "AIEndpoint",
"type": {
"id": "00000000-0000-0000-0000-000000031501"
}
},
{
"id": "AIMonitor",
"type": {
"id": "00000000-0000-0000-0000-000000031502"
}
},
{
"id": "AzureAIFoundryProject",
"type": {
"id": "00000000-0000-0000-0000-000000031421"
}
},
{
"id": "AzureAIFoundryAgent",
"type": {
"id": "00000000-0000-0000-0000-000000031451"
}
},
{
"id": "AIAgentVersion",
"type": {
"id": "00000000-0000-0000-0000-000000031452"
}
},
{
"id": "AIAgentTool",
"type": {
"id": "00000000-0000-0000-0000-000000031453"
}
},
{
"id": "Vendor",
"type": {
"id": "00000000-0000-0000-0000-000000031403"
}
},
{
"id": "FileContainer",
"type": {
"id": "00000000-0000-0000-0001-002900000002"
}
},
{
"id": "File",
"type": {
"id": "00000000-0000-0000-0000-000000031304"
}
}
],
"edges": [
{
"from": "FoundationalAIModel",
"to": "AzureAIFoundryModel",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077000"
},
"roleDirection": true
},
{
"from": "FoundationalAIModel",
"to": "Vendor",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077005"
},
"roleDirection": true
},
{
"from": "AzureAIFoundryModel",
"to": "AIModelDeployment",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077001"
},
"roleDirection": true
},
{
"from": "AzureAIFoundryModel",
"to": "Vendor",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007105"
},
"roleDirection": true
},
{
"from": "AIModelDeployment",
"to": "AIEndpoint",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077006"
},
"roleDirection": true
},
{
"from": "AIModelDeployment",
"to": "AIMonitor",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077007"
},
"roleDirection": true
},
{
"from": "AzureAIFoundryProject",
"to": "AzureAIFoundryModel",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007111"
},
"roleDirection": true
},
{
"from": "AzureAIFoundryAgent",
"to": "AzureAIFoundryModel",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007108"
},
"roleDirection": true
},
{
"from": "AzureAIFoundryAgent",
"to": "AIAgentVersion",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007206"
},
"roleDirection": true
},
{
"from": "AIAgentVersion",
"to": "AIAgentTool",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007207"
},
"roleDirection": true
},
{
"from": "AzureAIFoundryAgent",
"to": "FileContainer",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007115"
},
"roleDirection": true
},
{
"from": "FileContainer",
"to": "File",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007060"
},
"roleDirection": true
}
],
"showOverview": false,
"enableFilters": true,
"showLabels": true,
"showFields": true,
"showLegend": true,
"showPreview": true,
"visitStrategy": "completeGraph",
"layout": "HierarchyTopBottom",
"maxNodeLabelLength": 50,
"maxEdgeLabelLength": 30,
"layoutOptions": {
"compactGroups": false,
"componentArrangementPolicy": "topmost",
"edgeBends": true,
"edgeBundling": true,
"edgeToEdgeDistance": 5,
"minimumLayerDistance": "auto",
"nodeToEdgeDistance": 5,
"orthogonalRouting": true,
"preciseNodeHeightCalculation": true,
"recursiveGroupLayering": true,
"separateLayers": true,
"webWorkers": true,
"nodePlacer": {
"barycenterMode": true,
"breakLongSegments": true,
"groupCompactionStrategy": "none",
"nodeCompaction": false,
"straightenEdges": true
}
}
}For information on the data that is integrated from Microsoft Copilot Studio, go to Integrated Azure AI Foundry data.
To create this diagram view:
- Open the asset page.
- Click the
Diagram tab.
The diagram is shown in the default diagram view. - Click to add a new view.
- Select the Text option below the diagram view name.
The diagram view text editor is shown. - Copy the code from the Show JSON code section below and paste it in the diagram view text editor.
- Click Save.
- Edit the name and description of the diagram view as needed.
Show JSON code
Copy
{
"nodes": [
{
"id": "System",
"type": {
"id": "00000000-0000-0000-0000-000000031302"
}
},
{
"id": "AIAgent",
"type": {
"id": "00000000-0000-0000-0000-000000031450"
}
},
{
"id": "AIAgentVersion",
"type": {
"id": "00000000-0000-0000-0000-000000031452"
}
},
{
"id": "AIAgentTool",
"type": {
"id": "00000000-0000-0000-0000-000000031453"
}
},
{
"id": "FileContainer",
"type": {
"id": "00000000-0000-0000-0001-002900000002"
}
},
{
"id": "File",
"type": {
"id": "00000000-0000-0000-0000-000000031304"
}
}
],
"edges": [
{
"from": "System",
"to": "AIAgent",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007054"
},
"roleDirection": true
},
{
"from": "AIAgent",
"to": "AIAgentVersion",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007206"
},
"roleDirection": true
},
{
"from": "AIAgentVersion",
"to": "AIAgentTool",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007207"
},
"roleDirection": true
},
{
"from": "AIAgentTool",
"to": "FileContainer",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007211"
},
"roleDirection": true
},
{
"from": "FileContainer",
"to": "File",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007060"
},
"roleDirection": true
}
],
"showOverview": false,
"enableFilters": true,
"showLabels": true,
"showFields": true,
"showLegend": true,
"showPreview": true,
"visitStrategy": "completeGraph",
"layout": "HierarchyTopBottom",
"maxNodeLabelLength": 50,
"maxEdgeLabelLength": 30,
"layoutOptions": {
"compactGroups": false,
"componentArrangementPolicy": "topmost",
"edgeBends": true,
"edgeBundling": true,
"edgeToEdgeDistance": 5,
"minimumLayerDistance": "auto",
"nodeToEdgeDistance": 5,
"orthogonalRouting": true,
"preciseNodeHeightCalculation": true,
"recursiveGroupLayering": true,
"separateLayers": true,
"webWorkers": true,
"nodePlacer": {
"barycenterMode": true,
"breakLongSegments": true,
"groupCompactionStrategy": "none",
"nodeCompaction": false,
"straightenEdges": true
}
}
}