cva-setup-vertex

What problem does it solve?

Setting up a secure, compliant, and cost-effective Google Cloud Platform (GCP) and Vertex AI environment for Clojure agent development can be complex. This Skill provides a complete guide to configure GCP credentials, enable necessary APIs, implement robust IAM and security best practices (including LGPD), and understand cost implications, ensuring a smooth and compliant project start.

Core Features & Use Cases

• GCP Project Configuration: Step-by-step setup for project ID, service accounts, JSON keys, and essential environment variables.
• IAM & Security Best Practices: Guidance on least privilege roles, mandatory key rotation, security audit checklists, and LGPD-compliant data handling.
• Cost Analysis: Understand observed costs for AI pipelines and model pricing, enabling budget predictability and optimization.
• Use Case: A team is starting a new Clojure-based AI project on Vertex AI. This Skill walks them through authenticating with GCP, setting up secure credentials, enabling the correct APIs, and understanding how to manage costs and compliance from day one.

Quick Start

Set your GOOGLE_CLOUD_PROJECT and GOOGLE_APPLICATION_CREDENTIALS environment variables. Verify that the 'aiplatform.googleapis.com' API is enabled for your project. Create a basic Vertex AI instance and a generative model in Clojure.