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google-vertex (Google Vertex AI Examples)
Example configurations for testing Google Vertex AI models with promptfoo.
You can run this example with:
npx promptfoo@latest init --example google-vertex
cd google-vertex
Purpose
- Test Vertex AI's Gemini, Claude, and Llama models
- Configure model-specific features and search grounding
- Compare performance across different tasks
Prerequisites
- Google Cloud account with Vertex AI API enabled
- API credentials
- Node.js ^20.20.0 or >=22.22.0 (Node.js 20 support ends July 30, 2026; Node.js 24 LTS recommended)
Environment Variables
VERTEX_PROJECT_ID- Your Google Cloud project IDGOOGLE_APPLICATION_CREDENTIALS- Path to service account credentials (optional)
Setup
-
Install dependencies:
npm install google-auth-library -
Configure authentication:
# User account (development) gcloud auth application-default login # Or service account export GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json -
Set your project ID:
export VERTEX_PROJECT_ID=your-project-id
Configurations
This example includes:
promptfooconfig.gemini.yaml: Gemini models with function calling, system instructions, and safety settingspromptfooconfig.claude.yaml: Claude models for technical writing and code analysispromptfooconfig.llama.yaml: Llama models with safety features and region configurationpromptfooconfig.search.yaml: Search grounding for real-time informationpromptfooconfig.response-schema.yaml: Response schemas with structured output
Running Examples
# Basic example
promptfoo eval -c promptfooconfig.yaml
# Model-specific examples
promptfoo eval -c promptfooconfig.gemini.yaml
promptfoo eval -c promptfooconfig.claude.yaml
promptfoo eval -c promptfooconfig.llama.yaml
# Search grounding tool and image understanding
promptfoo eval -c promptfooconfig.search.yaml
promptfoo eval -c promptfooconfig.image.yaml
# Structured output with response schemas
promptfoo eval -c promptfooconfig.response-schema.yaml
# View results
promptfoo view
Expected Results
Each configuration demonstrates different model capabilities, from function calling and tool use to safety features and real-time information retrieval.