Anthropic AI assets
The Anthropic AI integration in Collibra Platform uses the following asset types. The asset types are available out of the box in Collibra. To use the Anthropic AI integration, you need Collibra Platform 2026.07 or newer.
You can configure Edge connections and capabilities without an active AI Governance license. However, AI Governance must be enabled to harvest AI model and agent metadata, ingest corresponding AI assets in Data Catalog, and access the dashboards and features necessary to visualize and govern your AI landscape.
| Anthropic object | Asset type | Description |
|---|---|---|
| Anthropic itself | Vendor | A provider of goods or services. |
| Model family, derived from the model ID | AI Base Model | Represents foundational business concepts that define the model’s purpose and governing principles in your Anthropic workspace. |
| Each model in the models list | AI Model Version |
A specific, immutable implementation of the model logic and parameters that serves as the audited "raw" model version before it is activated. |
| Created by the sync; one per model | AI Model Deployment | The operational instance where a model version is assigned computational resources to execute and generate real-time outputs. |
| None (created by the sync) | AI Endpoint | The access point for external systems that provides a consistent interface while allowing for the seamless exchange of underlying deployments. |
| Each agent in the agents list | 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. |
| Each agent 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. |
| Tools in an agent version, and sub-agents | AI Agent Tool |
A service accessible to an AI agent that automates tasks, generates content, or delivers intelligent insights. |
Anthropic AI diagram view
For information on the data that is integrated from Anthropic, go to Integrated Anthropic AI data.
Steps
- 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.
{
"nodes": [
{
"id": "Vendor",
"type": {
"id": "00000000-0000-0000-0000-000000031403"
}
},
{
"id": "AI Base Model",
"type": {
"id": "00000000-0000-0000-0000-000000031422"
}
},
{
"id": "AI Model Version",
"type": {
"id": "00000000-0000-0000-0000-000000031402"
}
},
{
"id": "AI Model Deployment",
"type": {
"id": "00000000-0000-0000-0000-000000031500"
}
},
{
"id": "AI Endpoint",
"type": {
"id": "00000000-0000-0000-0000-000000031501"
}
},
{
"id": "AI Agent",
"type": {
"id": "00000000-0000-0000-0000-000000031450"
}
},
{
"id": "AI Agent Version",
"type": {
"id": "00000000-0000-0000-0000-000000031452"
},
"layoutRegion": "flow"
},
{
"id": "AI Agent Deployment",
"type": {
"id": "00000000-0000-0000-0000-000000007505"
},
"layoutRegion": "flow"
},
{
"id": "AI Agent Tool",
"type": {
"id": "00000000-0000-0000-0000-000000031453"
}
}
],
"edges": [
{
"from": "AI Base Model",
"to": "Vendor",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077005"
},
"roleDirection": true
},
{
"from": "AI Base Model",
"to": "AI Model Version",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077000"
},
"roleDirection": true
},
{
"from": "AI Model Version",
"to": "AI Model Deployment",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077001"
},
"roleDirection": true
},
{
"from": "AI Model Deployment",
"to": "AI Endpoint",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000077006"
},
"roleDirection": true
},
{
"from": "AI Agent",
"to": "AI Agent Version",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007206"
},
"roleDirection": true
},
{
"from": "AI Agent Deployment",
"to": "AI Endpoint",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007214"
},
"roleDirection": true
},
{
"from": "AI Agent Version",
"to": "AI Agent Tool",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007207"
},
"roleDirection": true
},
{
"from": "AI Agent Tool",
"to": "AI Agent Version",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007208"
},
"roleDirection": true
},
{
"from": "AI Model Version",
"to": "AI Agent",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007108"
},
"roleDirection": false
},
{
"from": "AI Agent Version",
"to": "AI Agent Deployment",
"label": "",
"style": "arrow",
"type": {
"id": "00000000-0000-0000-0000-000000007213"
},
"roleDirection": false
}
],
"showOverview": false,
"enableFilters": true,
"showLabels": true,
"showFields": true,
"showLegend": false,
"showPreview": true,
"visitStrategy": "directed",
"layout": "HierarchyLeftRight",
"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
}
}
}