The AI Registry is the inventory layer. Before you can govern a portfolio, you need to know what’s in it. The registry catalogues models, where they’re deployed, who owns them, and what data they touch.Documentation Index
Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt
Use this file to discover all available pages before exploring further.
What the registry tracks
| Entity | Fields |
|---|---|
| Model | Name, provider, version, modality, capabilities, intended use. |
| Deployment | Environment (dev/stage/prod), endpoint, region, app linkage. |
| Owner | A user or team. Multiple owners allowed per model. |
| Data tags | Data classifications the model touches (PII, financial, health). |
| Risk tier | Manual classification or computed from data tags + capability. |
Why this matters
Governance, compliance, and ROI calculations all need the registry as the inventory of record: If a model isn’t in the registry, it doesn’t show up in any of the downstream views. The first job of a new Observatory org is usually populating the registry.Populating the registry
Three ways:From telemetry
Models that show up in runs are auto-registered. You confirm and fill in metadata.
Manual entry
Add a model that isn’t running yet (preview, eval, planned).
Import
Bulk import from CSV or from FlowX AI Platform’s agent definitions.
API
Programmatic registration through
POST /api/registry/models.Risk tiering
The default tiers map roughly to the EU AI Act risk pyramid:| Tier | Examples |
|---|---|
| Minimal | Internal-tool agents, productivity helpers. |
| Limited | Customer-facing chatbots without consequential decisions. |
| High | Credit decisions, claims approvals, hiring-adjacent. |
| Unacceptable | Banned by regulation — flagged for removal. |
API
| Endpoint | Use |
|---|---|
GET /api/registry/models | List models. |
POST /api/registry/models | Register a model. |
PUT /api/registry/models/{id} | Update metadata. |
GET /api/registry/deployments | List deployments. |
POST /api/registry/deployments | Link a model to an environment/app. |
Related resources
Risk Dashboard
Where data and model tags become risk scores.
Compliance
Risk tier drives which frameworks apply.