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adk-infra-expert

Build and validate Terraform for Vertex AI ADK infrastructure, including Agent Engine, networking, IAM permissions, code execution, and Memory Bank. It helps produce deployment settings and a checklist for security requirements such as VPC Service Controls.

中文简介正在准备中。当前显示英语简介。

原文查看原文说明

Execute use when provisioning Vertex AI ADK infrastructure with Terraform. Trigger with phrases like "deploy ADK terraform", "agent engine infrastructure", "provision ADK agent", "vertex AI agent terraform", or "code execution sandbox terraform". Provisions Agent Engine runtime, 14-day code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and secure multi-agent infrastructure.

集成工具Terraform

实测评分 未实测

查看安装方法

适用场景

  • Provisioning a Vertex AI ADK agent runtime
  • Setting up secure VPC networking and IAM
  • Adding code execution and Memory Bank
  • Preparing a deployment validation checklist

包含的文件(7)

  • SKILL.md2.8 KB
  • references/ARD.md4.5 KB
  • references/errors.md900 B
  • references/examples.md4.7 KB
  • references/implementation.md3.4 KB
  • references/PRD.md3.8 KB
  • scripts/init-terraform.sh2.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Adk Infra Expert

Overview

Provision production-grade Vertex AI ADK infrastructure with Terraform: secure networking, least-privilege IAM, Agent Engine runtime, Code Execution sandbox defaults, and Memory Bank configuration. Use this skill to generate/validate Terraform modules and a deployment checklist that matches enterprise security constraints (including VPC Service Controls when required).

Prerequisites

Before using this skill, ensure:

  • Google Cloud project with billing enabled
  • Terraform 1.0+ installed
  • gcloud CLI authenticated with appropriate permissions
  • Vertex AI API enabled in target project
  • VPC Service Controls access policy created (for enterprise)
  • Understanding of Agent Engine architecture and requirements

Instructions

  1. Initialize Terraform: Set up backend for remote state storage
  2. Configure Variables: Define project_id, region, agent configuration
  3. Provision VPC: Create network infrastructure with Private Service Connect
  4. Set Up IAM: Create service accounts with least privilege roles
  5. Deploy Agent Engine: Configure runtime with code execution and memory bank
  6. Enable VPC-SC: Apply service perimeter for data exfiltration protection
  7. Configure Monitoring: Set up Cloud Monitoring dashboards and alerts
  8. Validate Deployment: Test agent endpoint and verify all components

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

See Terraform implementation details for output format specifications.

Error Handling

See references/errors.md for comprehensive error handling.

Examples

See references/examples.md for detailed examples.

Resources

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