> This page location: AI Gateway > Reference > Authentication
> Full Neon documentation index: https://neon.com/docs/llms.txt

> Summary: AI Gateway uses Neon bearer credentials with the ai_gateway:invoke scope. Credentials are scoped to a branch and its descendants, so a credential created on your main branch works in all preview branches. No provider API keys are required.

# AI Gateway authentication

How Neon credentials work with AI Gateway

AI Gateway uses Neon bearer credentials, the same scoped-credential system as [Object Storage](https://neon.com/docs/storage/authentication): one credential API mints branch-scoped tokens that differ by scope (AI Gateway uses `ai_gateway:invoke`). No provider API keys are needed.

## Creating a credential

A credential must include the `ai_gateway:invoke` scope.

**CLI**

Create a credential with the [Neon CLI](https://neon.com/docs/cli/credentials):

```bash
neon credentials create --scope ai_gateway:invoke --name my-app-credential
```

The `api_token` is printed once; set it as `NEON_AI_GATEWAY_TOKEN`. Run it in a directory [linked](https://neon.com/docs/cli/link) to your project, or pass `--project-id` and `--branch`.

**Console**

In the Neon Console, click **Connect** at the top of the sidebar and open the **AI Gateway** tab. The snippet includes both gateway env vars (see [Environment variables](https://neon.com/docs/ai-gateway/authentication#environment-variables) below). Click **Reveal credential** to show the token, or **Copy snippet** to copy the full `.env`. Use **Rotate credential** to replace the token in place.

The Connect dialog reveals and rotates the current credential. To list all credentials for the branch or revoke one, use the [Neon CLI](https://neon.com/docs/cli/credentials) or the API (below).

**API**

```bash
curl -X POST "https://console.neon.tech/api/v2/projects/{project_id}/branches/{branch_id}/credentials" \
  -H "Authorization: Bearer $NEON_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"scopes": ["ai_gateway:invoke"], "principal_type": "user"}'
```

The response includes an `api_token` field. Store it as an environment variable:

```bash
export NEON_AI_GATEWAY_TOKEN=nt_live_...
```

## Pull credentials with neon

For local development, `neon env pull` writes your AI Gateway credentials to your `.env` file automatically, with no manual copy-paste from the API response:

```bash
neon env pull --file .env
```

This populates `NEON_AI_GATEWAY_TOKEN` and `NEON_AI_GATEWAY_BASE_URL` for the current branch alongside your database connection string. Running `neon config apply` or `neon deploy` also auto-pulls credentials after a successful apply. To check current credential status:

```bash
neon config status
```

For production deployments, use the [API-based workflow](https://neon.com/docs/ai-gateway/authentication#creating-a-credential) to create named credentials. `expires_at` is accepted but not currently enforced. Revoke credentials explicitly instead of relying on expiry.

## Using your credential

Pass your credential as a bearer token on every request:

```
Authorization: Bearer <your-credential>
```

When using an AI SDK, set this as the `apiKey` parameter:

**TypeScript**

```typescript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.NEON_AI_GATEWAY_TOKEN,
  baseURL: `${process.env.NEON_AI_GATEWAY_BASE_URL}/v1`,
});
```

**Python**

```python
from openai import OpenAI
import os

client = OpenAI(
    api_key=os.environ["NEON_AI_GATEWAY_TOKEN"],
    base_url=f"{os.environ['NEON_AI_GATEWAY_BASE_URL']}/v1",
)
```

## Environment variables

Neon provides two gateway env vars. `NEON_AI_GATEWAY_BASE_URL` is the bare branch host, so you append the dialect path yourself when configuring an SDK.

| Variable                   | Value                                                                                     |
| -------------------------- | ----------------------------------------------------------------------------------------- |
| `NEON_AI_GATEWAY_TOKEN`    | Bearer token (`nt_live_...`)                                                              |
| `NEON_AI_GATEWAY_BASE_URL` | Bare branch host: `https://<branch-host>`, with no path. Append the dialect path yourself |

Append the dialect path for the endpoint you need:

```
NEON_AI_GATEWAY_BASE_URL + /v1            → chat completions (all providers)
NEON_AI_GATEWAY_BASE_URL + /openai/v1     → OpenAI Responses API
NEON_AI_GATEWAY_BASE_URL + /gemini        → Gemini generateContent API
```

The Gemini value is an SDK base URL: google-genai appends `/v1beta/models/...`, so don't add that segment yourself. Calling the endpoint directly takes the full path, `/gemini/v1beta/models/<model>:<action>`.

Each inference dialect is also reachable at a longer `/ai-gateway/<dialect>/v1` path (e.g. `/ai-gateway/mlflow/v1` for chat completions, `/ai-gateway/openai/v1` for Responses, `/ai-gateway/gemini` for Gemini). Both forms behave identically and neither is deprecated, but the shorter paths are what the docs and SDKs use. The model list is the exception: it has only `GET /v1/models`, with no `/ai-gateway/...` form. See [Shorter paths](https://neon.com/docs/ai-gateway/models#shorter-paths) for the full mapping.

To use an OpenAI SDK, set its `apiKey` and `baseURL` from these variables (see the examples below).

## Credentials in Neon Functions

When your code runs inside Neon Functions, both gateway env vars are injected automatically. No credential creation step required:

| Variable                   | Value                                               |
| -------------------------- | --------------------------------------------------- |
| `NEON_AI_GATEWAY_TOKEN`    | Bearer token for the AI Gateway                     |
| `NEON_AI_GATEWAY_BASE_URL` | Branch gateway host with `https://` prefix, no path |

See [Environment variables](https://neon.com/docs/compute/functions/environment-variables) for the full list of variables Neon injects into a function.

Configure an OpenAI SDK by setting `apiKey` and `baseURL` from these variables. Use the OpenAI Responses dialect for `responses.create()`:

```typescript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.NEON_AI_GATEWAY_TOKEN,
  baseURL: `${process.env.NEON_AI_GATEWAY_BASE_URL}/openai/v1`,
});

const response = await client.responses.create({
  model: 'gpt-5-mini',
  input: 'What is Neon?',
});
```

For the chat completions endpoint, point the base URL at `/v1` instead:

```typescript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: process.env.NEON_AI_GATEWAY_TOKEN,
  baseURL: `${process.env.NEON_AI_GATEWAY_BASE_URL}/v1`,
});
```

## How branch binding works

Each credential is tied to the branch it was created on. It's valid for:

- That branch (the anchor branch)
- Any branch descended from it: preview branches, feature branches, CI branches

It's **not** valid for branches outside that lineage.

This means a credential created on your `main` branch works in all branches that were forked from `main`. A credential created on a feature branch only works within that feature branch's descendants.

```
main  ──── credential valid here
  └── preview/feature-x  ──── and here
        └── preview/sub-branch  ──── and here
staging  ──── credential NOT valid here (different lineage)
```

This design lets you use a single credential across your entire development workflow (local dev, preview deployments, and CI) without creating separate credentials for each environment.

## Common auth errors

| Error                     | Cause                                      | Fix                                                                                                                             |
| ------------------------- | ------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------- |
| `401 Unauthorized`        | Missing or invalid credential              | Check that `NEON_AI_GATEWAY_TOKEN` is set and contains the full token                                                           |
| `403 Forbidden`           | Credential lacks `ai_gateway:invoke` scope | Recreate the credential with the correct scope                                                                                  |
| `403 Forbidden`           | Branch not in credential lineage           | Use a credential created on this branch or an ancestor branch. The gateway returns: `credential not authorized for this branch` |
| `503 Service Unavailable` | Auth store temporarily unavailable         | Retry the request                                                                                                               |

## Rotating credentials

To rotate a credential in place with the [Neon CLI](https://neon.com/docs/cli/credentials), run `neon credentials rotate <token_id>` (find the id with `neon credentials list`). The `token_id` stays the same and a new `api_token` is minted, so update `NEON_AI_GATEWAY_TOKEN` with it. Otherwise, create a new credential, update your environment variables, then revoke the old one.

The Console's **Connect** dialog can rotate a credential (**AI Gateway** tab > **Rotate credential**) but not revoke one. To revoke, use the [Neon CLI](https://neon.com/docs/cli/credentials) (`neon credentials revoke <token_id>`) or the API:

```bash
curl -X DELETE "https://console.neon.tech/api/v2/projects/{project_id}/branches/{branch_id}/credentials/{token_id}" \
  -H "Authorization: Bearer $NEON_API_KEY"
```

Or with the [Neon CLI](https://neon.com/docs/cli/credentials):

```bash
neon credentials revoke <token_id>
```

---

## Related docs (Reference)

- [Troubleshooting](https://neon.com/docs/ai-gateway/troubleshooting)

---

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