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Version: v0.2.23

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

FieldTypeRequiredDefaultDescription
project<class 'str'>NoGoogle Cloud project ID for Vertex AI
location<class 'str'>Nous-central1Google Cloud location for Vertex AI

Sample Configuration

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