| Category | Description |
|---|---|
| Chat Models | Models for text generation and conversations (e.g. GPT, Claude, DeepSeek) |
| Embedding Models | Models for text vectorization and semantic search |
| Voice Models | Models for speech-to-text (transcription) and text-to-speech (speech) |
Overview
Use the tabs at the top to switch between the three model categories. Each category displays its own list of configured models.- Search field: Filter models by name.
- New Model: Click the button in the top right to add a new model.
Actions per Model
| Action | Description |
|---|---|
| Edit (Pencil) | Open and edit the model configuration |
| Delete (Trash) | Permanently remove the model |
Detailed Configuration
Chat Models
Text generation, conversations, Code Interpreter – all fields and options in
detail.
Embedding Models
Text vectorization for semantic search and knowledge bases.
Voice Models
Transcription (speech-to-text) and speech output (text-to-speech).
Best Practices
- Descriptive names: Use descriptive names (e.g. “Azure GPT 5.2”) to simplify management.
- Configure costs: Enter realistic token costs so that cost tracking works accurately.
- Security: Enable DLP protection (GDPR, Sensitive File Protection) according to your compliance requirements.
- Testing: Test new model configurations in a safe environment before deploying to production.
Fields marked with an asterisk (*) are required and must be filled in.