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

Google Cloud project ID for Vertex AI

location

<class 'str'>

No

us-central1

Google Cloud location for Vertex AI

Sample Configuration

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