Cursor

Route Cursor through Routero to bring your AI coding assistant under the same governance, cost tracking, and policy enforcement as your production applications — every completion is attributed, budgeted, and logged.

Why route Cursor through Routero:

  • Cost visibility — see who uses which models, at what cost, across which teams.
  • Policy enforcement — block models or providers that aren’t approved for source code.
  • Audit trail — a complete log of every coding-assistant call.
  • Budget limits — cap per-developer or per-team spend on AI tooling.
  • Provider fallback — Cursor stays available even if one provider is rate-limited.

1. Create a virtual key

In the dashboard, open API Keys and create a virtual key to use as Cursor’s API key. Scope it to the developer’s team, restrict it to the approved models, and optionally attach a budget so individual spend is attributable.


2. Point Cursor at Routero

  1. Open Cursor SettingsModelsOpenAI API Key.
  2. Paste your Routero virtual key as the API key.
  3. Set the Base URL to https://api.routero.dcsmartvision.com/v1.
  4. Choose your models — any model string Routero supports works, including openai/gpt-5.5.

Cursor now routes all of its LLM calls through Routero.


Calling the API for the base URL, auth, and SDK examples. → Claude Code for the Anthropic CLI.