switch_model
Change AI model tiers at runtime to experiment with different models without server restart. Updates persist across sessions for consistent model selection.
Instructions
Switch the model for a specific tier at runtime.
This allows dynamic model experimentation without restarting the server. Changes are persisted to settings.json for consistency across restarts.
Args: tier: Model tier to change - "quick", "coder", "moe", or "thinking" model_name: New model name (must be available in the current backend)
Returns: Confirmation with model change details and availability status
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tier | Yes | ||
| model_name | Yes |