Ultimate Guide: Deploy Google ADK Agents to Vertex AI & Cloud Run (Step-by-Step Tutorial)

Shane | LLM Implementation · Beginner ·🧠 Large Language Models ·11mo ago
Master the deployment of AI agents built with Google's Agent Development Kit (ADK) to scalable cloud environments with this ultimate step-by-step tutorial. We clarify documentation gaps and provide clear walkthroughs for: - Vertex AI Agent Engine (Fully Managed Google Cloud Service) - Google Cloud Run (Managed Container Platform) What You'll Learn: - Prerequisites for Google Cloud deployment (APIs, Billing, Permissions, GCS). - Setting up Python environments and installing ADK. - Deploying to Vertex AI Agent Engine using a Colab notebook. - Defining agents with tools like Google Search (featuring Gemini 2.5 Flash Preview). - Local vs. Remote testing of agents. - Managing deployed resources on Agent Engine. - Deploying to Cloud Run with ADK CLI and gcloud. - Structuring projects (agent.py, requirements.txt, .env). - Handling authentication and IAM permissions. - Enabling web UI for seamless testing. - Testing agents on both platforms. Perfect for developers and AI engineers using Google ADK to move agents from development to production on Google Cloud Platform. Resources & Timestamps: 0:00 Introduction & Goal: Deploying ADK Agents 0:26 Overview of Deployment Options (Vertex AI Agent Engine, Cloud Run, Custom) 1:12 Why Focus on Vertex AI Agent Engine & Cloud Run (Documentation Gaps) 1:50 Deploying to Vertex AI Agent Engine 2:41 Prerequisites for Vertex AI Agent Engine (APIs, Billing, Permissions, GCS Bucket) 4:11 Colab Notebook Walkthrough: Setup & Installation 4:42 Colab: Authenticating and Initializing Vertex AI SDK 4:59 Colab: Defining the Agent (using Google Search Tool) 6:19 Colab: Preparing Agent for Deployment (AdkApp & Tracing) 6:41 Colab: Local Agent Testing (Create Session & Send Query) 7:25 Colab: Deploying the Agent to Agent Engine (agent_engines.create()) 8:12 Colab: Remote Agent Testing (Create Remote Session & Send Query) 8:41 Colab: Retrieving an Existing Deployed Agent (Optional) 9:06 Colab: Cleaning Up Deployed Agent Engine Resources 9:38 Deployin
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Chapters (15)

Introduction & Goal: Deploying ADK Agents
0:26 Overview of Deployment Options (Vertex AI Agent Engine, Cloud Run, Custom)
1:12 Why Focus on Vertex AI Agent Engine & Cloud Run (Documentation Gaps)
1:50 Deploying to Vertex AI Agent Engine
2:41 Prerequisites for Vertex AI Agent Engine (APIs, Billing, Permissions, GCS Bucket
4:11 Colab Notebook Walkthrough: Setup & Installation
4:42 Colab: Authenticating and Initializing Vertex AI SDK
4:59 Colab: Defining the Agent (using Google Search Tool)
6:19 Colab: Preparing Agent for Deployment (AdkApp & Tracing)
6:41 Colab: Local Agent Testing (Create Session & Send Query)
7:25 Colab: Deploying the Agent to Agent Engine (agent_engines.create())
8:12 Colab: Remote Agent Testing (Create Remote Session & Send Query)
8:41 Colab: Retrieving an Existing Deployed Agent (Optional)
9:06 Colab: Cleaning Up Deployed Agent Engine Resources
9:38 Deployin
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