Prompt Chain

Test Google Vertex AI Models

Test Google Vertex AI models with promptfoo. Optimize LLM performance and evaluate model outputs for your applications.

Works with google vertex

91
Spark score
out of 100
Updated 3 months ago
Version 1.0.0
Models

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Why it matters

Automate the testing and evaluation of Google Vertex AI models. Ensure your AI models perform as expected by running them through a series of predefined tests and analyses.

Outcomes

What it gets done

01

Configure promptfoo for Google Vertex AI integration.

02

Define and execute test cases for Vertex AI models.

03

Analyze model outputs for accuracy and performance.

04

Generate reports on model quality and identify areas for improvement.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/pfoo-google-vertex | bash

Capabilities

What this chain does

Write tests

Creates unit, integration, or end-to-end test cases.

Classify

Labels or categorizes text, files, or data points.

Summarize

Condenses long documents or threads into key takeaways.

Overview

Google Vertex

What it does

This asset provides example configurations for testing Google Vertex AI models using the promptfoo framework. It allows users to set up systematic evaluations of their Vertex AI model performance and prompt effectiveness.

How it connects

Use this when you need to benchmark, compare, and validate the outputs of models hosted on Google Vertex AI. It's suitable for optimizing prompts and selecting the best models for specific tasks within the Vertex AI ecosystem.

Source README

Example configurations for testing Google Vertex AI models with promptfoo.

Discussion

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