---
title: AI Runtime Control
summary: >-
  These guides describe how to route your AI traffic through AI Runtime Control
  (ARC), configure the providers and virtual keys it uses, and monitor the
  resulting usage.
url: https://www.fastly.com/documentation/guides/platform/ai-runtime-control
---

- [Getting started with AI Runtime Control](https://www.fastly.com/documentation/guides/platform/ai-runtime-control/getting-started-with-ai-runtime-control/) - Configure AI Runtime Control (ARC) by adding a provider and creating a virtual key, then route your first request through it.
- [How AI Runtime Control works](https://www.fastly.com/documentation/guides/platform/ai-runtime-control/how-ai-runtime-control-works/) - AI Runtime Control (ARC) routes your application's requests to the LLM providers it uses, giving you one place to manage provider credentials, issue virtual keys, and monitor AI use.
- [Managing providers in AI Runtime Control](https://www.fastly.com/documentation/guides/platform/ai-runtime-control/managing-providers/) - Add, edit, and remove the LLM providers that AI Runtime Control (ARC) routes traffic to.
- [Managing virtual keys in AI Runtime Control](https://www.fastly.com/documentation/guides/platform/ai-runtime-control/managing-virtual-keys/) - Create, edit, refresh, and revoke the virtual keys that route traffic through AI Runtime Control (ARC), and view each key's details.
- [Monitoring AI usage with AI Runtime Control](https://www.fastly.com/documentation/guides/platform/ai-runtime-control/monitoring-ai-usage-with-arc/) - Read the request and token usage that AI Runtime Control (ARC) records, in a summary view and a per-request logging view.
- [Tutorials](https://www.fastly.com/documentation/guides/platform/ai-runtime-control/tutorials/)