You aren’t limited to Opper’s hosted models. Register your own provider deployment, for example a private Azure OpenAI deployment, with its API key. It then appears in the catalog alongside built-in models and gets the same routing, governance, and tracing.Documentation Index
Fetch the complete documentation index at: https://docs.opper.ai/llms.txt
Use this file to discover all available pages before exploring further.
Register a custom model
The quickest way is in the dashboard. Open Settings → Models → Custom in platform.opper.ai and add a model:| Field | What to enter |
|---|---|
| Name | A label, e.g. “My Custom Model”. |
| Identifier | How you’ll call it, e.g. example/my-gpt4. |
| Type | The provider type (Azure, OpenAI-compatible, and so on). |
| Credentials | The provider’s API key, token, or service-account JSON. |
| API URL | Your endpoint, e.g. https://my-deployment.openai.azure.com/. |
Custom models are scoped to your project. The identifier prefix (e.g.,
example/) is the namespace.Register from the API or CLI
If you’d rather automate it:- cURL
- CLI
Model aliases
Create aliases to abstract model names so you can swap models without downtime:production/main in your code, then update the alias target to switch models without changing any integration code.
What’s next
Models
The full catalog of built-in models.
AI Gateway
How routing, model selection, and BYOK fit together.