Custom Model Integration
With Lamatic, you can define custom models per provider — this doc walks through how to add, override, and control model behavior across different AI backends.
Custom models offer control and flexibility, enabling better experimentation and enterprise-level customization.
We introduced this feature to:
- Support internal/fine-tuned models hosted privately
- Allow per-provider override of default logic
- Improve model testing and validation with custom credentials
- Support multi-tenant use cases with separate model handling
Add Custom Models
To add a model:
- Select a provider (e.g.
OpenAI,Orai,Lamatic) - Click Add Custom Model
- Enter:
- Model Name (e.g.,
gpt-4.1A-private) - Model Type (Chat, Compeletion, Embeddings, or Image Generation)
- Model Name (e.g.,
- Save
If added, this model will be used for:
- Credential validation
- Inference calls
- Testing
Update Custom Models
You can modify:
- Model Name
- API Key
🛑 Note: The Provider field cannot be edited once set.
Delete Custom Models
You can remove a model by clicking Delete.
If no custom model exists, the platform uses provider defaults.
Use Cases
| Use Case | Description |
|---|---|
| Enterprise override | Use internal model deployments securely |
| Staging test | Try new models without changing production |
| Multi-provider fallback | Combine OpenAI + Orai with routing logic |
| Fine-tuned models | Specialized logic for narrow domains |
You can use custom models across any supported provider without altering your primary config.