# remote::vertexai

## Description

Google Vertex AI inference provider enables you to use Google's Gemini models through Google Cloud's Vertex AI platform, providing several advantages:

• Enterprise-grade security: Uses Google Cloud's security controls and IAM
• Better integration: Seamless integration with other Google Cloud services
• Advanced features: Access to additional Vertex AI features like model tuning and monitoring
• Authentication: Uses Google Cloud Application Default Credentials (ADC) instead of API keys

Configuration:
- Set VERTEX_AI_PROJECT environment variable (required)
- Set VERTEX_AI_LOCATION environment variable (optional, defaults to us-central1)
- Use Google Cloud Application Default Credentials or service account key

Authentication Setup:
Option 1 (Recommended): gcloud auth application-default login
Option 2: Set GOOGLE_APPLICATION_CREDENTIALS to service account key path

Available Models:
- vertex_ai/gemini-2.0-flash
- vertex_ai/gemini-2.5-flash
- vertex_ai/gemini-2.5-pro

## Configuration

| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `project` | `<class 'str'>` | No | PydanticUndefined | Google Cloud project ID for Vertex AI |
| `location` | `<class 'str'>` | No | us-central1 | Google Cloud location for Vertex AI |

## Sample Configuration

```yaml
project: ${env.VERTEX_AI_PROJECT}
location: ${env.VERTEX_AI_LOCATION:=us-central1}

```