Set Up ASI:One for Coding

Set Up ASI:One in Cursor

Overview

Use your ASI:One models with Cursor with your existing ASI:One subscription.

Prerequisites

  • Cursor installed.
  • An ASI:One API key. Create one at asi1.ai/developer. Keys start with sk_.
  • An ASI:One plan that includes asi1-ultra. The same key also works for asi1, asi1-ultra-1m and asi1-mini.

Point Cursor at ASI:One

  1. Open Cursor Settings → Models.
  2. In API Keys, paste your ASI:One key into the OpenAI API key field.
  3. Turn on Override OpenAI Base URL and enter:
https://api.asi1.ai/v1

Add the models

Cursor doesn’t discover ASI:One models on its own, so add them by name.

  1. Still in Models, click Add Custom Model.
  2. Enter asi1-ultra.
  3. Repeat for asi1, asi1-ultra-1m and asi1-mini if you want them in the picker too.
  4. Make sure each one is turned on.

Choose the model

Open a chat, pick asi1-ultra in the model picker, and send a message. Use asi1-ultra for deep refactors, debugging and reviews, and switch to asi1 or asi1-mini for routine edits where speed matters more. See ASI:One Models for the tradeoffs.

Things to know

The base URL override applies to every OpenAI model in Cursor, not just the ASI:One ones. While it is on, picking a GPT model sends that name to ASI:One, which answers 404. Turn those models off, or turn the override off when you want them back.

  • Tab completion is not affected. Tab and some built-in features run on Cursor’s own models and can’t be billed to your key, so they keep working as before and don’t use ASI:One.
  • Context windows. Cursor manages how much context it sends. The limits for each model are on the Models page.

Troubleshooting

SymptomCause and fix
401, or Cursor reports the key is invalidThe key is wrong or has been revoked. Create a new one at asi1.ai/developer.
404 model not foundThe selected model isn’t an ASI:One model, or the custom model name is misspelled. Pick one of asi1, asi1-ultra, asi1-ultra-1m or asi1-mini.
Rate limit errorsSee Errors and Rate Limits.

Next steps

  1. Codex: the same models in the Codex CLI
  2. OpenCode: the same models in OpenCode
  3. ASI:One Models: choosing between asi1, asi1-ultra, asi1-ultra-1m and asi1-mini
  4. OpenAI Compatibility: which parameters each endpoint supports