[Windows][Codex Desktop][Pro] All models fail with "Selected model is at capacity" (server_overloaded) #44516

"error": {
  "message": "Selected model is at capacity. Please try a different model.",
  "codex_error_info": "server_overloaded"
}

### What steps can reproduce the bug?

1. Launch Codex Desktop on Windows.
2. Sign in with a ChatGPT Pro account using ChatGPT authentication (not an API key).
3. Start a new session.
4. Select any available model.
5. Submit a minimal prompt, for example:

   `Reply with exactly: OK`

6. The request fails with:

   `Selected model is at capacity. Please try a different model.`

7. Create another new session and/or switch to another available model.
8. Submit the same minimal prompt again.
9. The same error occurs across multiple models.

The issue is also reproducible in fresh sessions with very little context, so it does not appear to depend on context-window usage.

Inspecting the corresponding local rollout JSONL files shows the underlying error:

`"codex_error_info":"server_overloaded"`

Example:

```json
"error": {
  "message": "Selected model is at capacity. Please try a different model.",
  "codex_error_info": "server_overloaded"
}

### What is the expected behavior?

Codex Desktop should successfully process requests when my ChatGPT Pro account has available usage and the selected model is available.

If the backend is temporarily overloaded, Codex should either retry successfully or return a clear server-overload error.

The same `server_overloaded` failure should not persist across all available models and newly created sessions for an extended period of time.

### Additional information

<img width="1149" height="114" alt="Image" src="https://github.com/user-attachments/assets/e4dcb2d6-019c-4e40-8b58-6eb2da74a803" />