Connect Vercel AI Gateway
With Vercel AI Gateway as the model provider, Faustine sends model and embeddings requests to https://ai-gateway.vercel.sh with one key from your Vercel team. Vercel bills the usage to the team.
Before you begin
On Vercel you need:
- A team API key for AI Gateway. See AI Gateway authentication in the Vercel documentation. A key created by a team member stops working when that member leaves the team.
- A payment method on the team and AI Gateway credits. Claude models are not on Vercel's free tier.
- Only if you need a region, zero data retention or a pinned upstream: a virtual model on Vercel. You enter it as an override in the Models step.
Connect Vercel AI Gateway
- In the portal, go to Settings > Model Provider and select Configure a provider.
- In Provider, select Vercel AI Gateway.
- In AI Gateway API key, enter the key and select Continue.
- In Models on your provider, leave the fields empty and select Test connection, then Continue.
- In Embeddings, Use my Vercel AI Gateway is selected with the model
openai/text-embedding-3-small. Select Continue. - In Review & save, select Test connection, then Save & activate.
The tab shows the Vercel AI Gateway card with an Active badge. There is no URL to enter, because the gateway has one address for every team.
Override a model
The gateway accepts Faustine's model IDs as they are, so the Models step is optional. The gray ID in each row is what Faustine sends: the first-party ID for Claude models, and the ID with an openai/ prefix for OpenAI models.
Enter a value in a row only to send that model somewhere else:
| Override | Example |
|---|---|
| A virtual model you created on Vercel | vmc/<SLUG> |
| A variant of the model | anthropic/claude-opus-5-fast |
Embeddings
Use my Vercel AI Gateway reuses the AI Gateway key, so Faustine stores no second key. Model IDs follow the gateway's catalog and start with the creator, as in openai/text-embedding-3-small. To use OpenAI directly, select Use a separate OpenAI key.
What the validation checks
| Check | How |
|---|---|
| Credentials | A request for the team's credit balance, which costs no tokens. A 401 or 403 means Vercel rejected the key, and the configuration is not saved. |
| Each model | One real request of 16 tokens to every model in Faustine's list for your workspace, with the override where you entered one. |
| Embeddings | One embeddings request to the model you entered. |
If the key is valid and the team's balance is 0, the save goes through with a warning to buy credits before the first run.
Troubleshooting
| Symptom | Cause | Fix |
|---|---|---|
Vercel rejected the AI Gateway API key |
The key is wrong, or the member who created it left the team. | Create a team key and enter it. |
A model shows Refused with The Vercel team has no AI Gateway credits |
The team has no credits, or the key's budget is spent. | Buy credits in the AI Gateway tab of the Vercel team. |
A model shows Refused with Vercel needs a payment method on the team |
The team has no card. | Add a card on Vercel, then buy credits. |
A model shows Not found with Vercel AI Gateway does not list this model id |
The override does not name a model in the gateway's catalog. | Clear the field, or enter a creator/model ID or one of your virtual models. |
Next steps
- Model providers: status, test and the other providers.
- Choose an embeddings provider: the embeddings options on Vercel AI Gateway.
- Choose the chat model: pick a Claude or OpenAI model for an agent.
Last updated November 11, 2026