Presets are reusable configurations that help teams standardize prompts, model preferences, and routing defaults. They are managed in the AI Stats dashboard and can be shared across a team.
What a preset can include
- A system prompt to prepend to every request.
- Allowed models or model families.
- Provider allow/ignore lists for routing preferences.
- Default parameters (temperature, top_p, max_tokens, and similar settings).
Preset names are prefixed with @ to keep them easy to recognize.
Where to manage presets
Create and manage presets in Dashboard -> Settings -> Presets. Use them consistently across experiments and production workloads so the team is aligned on prompt and routing behavior.
When to use presets
- Standardize system prompts across multiple services.
- Constrain routing to approved providers for compliance.
- Keep default parameters consistent across environments.
Last modified on February 11, 2026
