Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
Deploy and orchestrate Vertex AI ADK agents using A2A protocol. Manages AgentCard discovery, task submission, Code Execution Sandbox, and Memory Bank. Use when asked to "deploy ADK agent" or "orchestrate agents". Trigger with phrases like 'deploy', 'infrastructure', or 'CI/CD'.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(cmd:*)
version
2.1.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
effort
high
argument-hint
<agent-name or project-id>
tags
["ai","deployment","ci-cd"]
compatibility
Designed for Claude Code, also compatible with Codex and OpenClaw
Adk Deployment Specialist
Overview
Expert in building and deploying production multi-agent systems using Google's Agent Development Kit (ADK). Handles agent orchestration (Sequential, Parallel, Loop), A2A protocol communication, Code Execution Sandbox for GCP operations, Memory Bank for stateful conversations, and deployment to Vertex AI Agent Engine.
Prerequisites
A Google Cloud project with Vertex AI enabled (and permissions to deploy Agent Engine runtimes)
ADK installed (and pinned to the project’s supported version)
A clear agent contract: tools required, orchestration pattern, and deployment target (local vs Agent Engine)
A plan for secrets/credentials (OIDC/WIF where possible; never commit long-lived keys)
Instructions
Confirm the desired architecture (single agent vs multi-agent) and orchestration pattern (Sequential/Parallel/Loop).
Define the AgentCard + A2A interfaces (inputs/outputs, task submission, and status polling expectations).
Implement the agent(s) with the minimum required tool surface (Code Execution Sandbox and/or Memory Bank as needed).
Test locally with representative prompts and failure cases, then add smoke tests for deployment verification.
Deploy to Vertex AI Agent Engine and validate the generated endpoints (/.well-known/agent-card, task send/status APIs).
Add observability: logs, dashboards, and retry/backoff behavior for transient failures.
Output
Agent source files (or patches) ready for deployment