Presets
Bundle a model, system prompt, and parameters into one reusable name.
A preset bundles a model choice, system prompt, and generation parameters (temperature, max_tokens, top_p) into a single name you can reference from any client, instead of repeating the same configuration in every request.
Create a Preset
- Go to Presets in the dashboard.
- Select New preset.
- Set the model, system prompt, and parameters.
- Name the preset. This is the name you'll reference in requests.
- Select Save preset.
Reference the preset by name in the model field, using the @preset/ convention:
Presets are the fastest way to change a model version for every caller at once โ update the preset in the dashboard, and every integration referencing @preset/support-bot picks up the change on its next request. No redeploy needed.
Presets sync to the gateway as soon as you save. Assign a default preset to an inference key from the key detail page, so callers using that key don't need to specify one at all.