Upgraded to Gemini Code Assist Standard, but Intellij still claiming quota limit reached

Google Cloud Cloud Foundations & Onboarding
1

I’ve got a workspace account that I’ve been using with Intellij for a few months now. I’ve recently started to hit limits. Fair enough. I decided to bite the bullet today and pony up for Gemini Code Assist Standard. Unfortunately, inside Intellij, it has not bumped up the quota. I’m still getting the dreaded “The server encountered a resource exhausted error. This is likely due to the number of requests issued reaching your quota.” message. This only happens on the 2.5 Pro model. If I switch to 2.5 Flash, requests go through.

I’m pretty sure I have the configuration correct, as I’m able to access just fine via the CLI and also in VS Code. I’m not sure if the Gemini CLI and VS Code connect in the same manner, or if there’s a different API in play for those. I also tried installing Intellij on a different Mac and connecting to it from there. Same behavior, which strongly indicates it’s a back end issue at GCP somewhere and specific to the Intellij plugin.

If it helps, I was able to pull this from the Intellij logs:

POST https://cloudcode-pa.googleapis.com/v1internal:streamGenerateChat
{
  "code": 0,
  "error": {
    "code": 429,
    "message": "You have exhausted your capacity on this model. Your quota will reset after 7h23m50s.",
    "errors": [
      {
        "message": "You have exhausted your capacity on this model. Your quota will reset after 7h23m50s.",
        "domain": "global",
        "reason": "rateLimitExceeded"
      }
    ],
    "status": "RESOURCE_EXHAUSTED",
    "details": [
      {
        "@type": "type.googleapis.com/google.rpc.ErrorInfo",
        "reason": "QUOTA_EXHAUSTED",
        "domain": "cloudcode-pa.googleapis.com",
        "metadata": {
          "uiMessage": "true",
          "model": "gemini-2.5-pro",
          "quotaResetDelay": "7h23m50.384293122s",
          "quotaResetTimeStamp": "2026-02-23T05:11:26Z"
        }
      },
      {
        "@type": "type.googleapis.com/google.rpc.RetryInfo",
        "retryDelay": "26630.384293122s"
      }
    ]
  }
})

If anyone has any ideas on what’s going on here, I’d appreciate it.

and yes, I have tried turning it off and then turning it back on again :slight_smile:

Thanks!

John