Plase Help me out of Vercel AI Gateway API key returns 403 Forbidden despite valid setup

[storypalse-7526]

nobody pay attention on me. please please help me out

Vercel AI Gateway API key returns 403 Forbidden despite valid setup

Hi Vercel team, We seem to be running into the same kind of AI Gateway 403 issue discussed in the earlier community thread: Resolving 403 Forbidden error for Vercel AI Gateway API keys Our setup is using the OpenAI-compatible AI Gateway endpoint: https://ai-gateway.vercel.sh/v1 Requests are sent with an AI Gateway API key via Authorization: Bearer [key], and the model is routed as xai/grok-4.3. The request is rejected with 403 Forbidden / access_denied. From the earlier thread, it sounded li…

[ryux1 (Ryu)]

Hi Storypalse,

I’d first separate “the key cannot authenticate at all” from “the model request is being rejected.”

Try this with the same key your app is using:

curl -i https://ai-gateway.vercel.sh/v1/models \
  -H "Authorization: Bearer $AI_GATEWAY_API_KEY"

If this also returns 403 access_denied, then the request body/model is not the issue yet. I’d check:

• the key is an AI Gateway API key, not a provider key or Vercel dashboard token

• the key was created under the same Vercel team/account where AI Gateway is enabled/configured

• the env var in Production is actually the new key, then redeploy after changing it

• there is no per-key/team budget or credit issue causing requests to be denied

If /v1/models works, copy one exact model ID from that response and test a tiny generation with that model before trying xai/grok-4.3. That tells you whether the 403 is model/provider-specific or key-level.

The expected auth format is shown here:

API Keys

Can you share the status code and redacted response body from the /v1/models test, plus the x-vercel-id header if it appears? Don’t post the API key.