Mastering Scalable Multi-Agent Systems with Google ADK: A Hands-On Coding Guide

Building a Multi-Agent System with Google ADK

This tutorial explores the advanced functionalities of Google's Agent Development Kit (ADK) by constructing a system of multiple agents, each with specialized roles such as web research, mathematical computation, data analysis, and content creation. The integration of Google Search, asynchronous execution, and modular design enables the orchestration of a robust, production-ready workflow using the Gemini model.

Setting Up and Authentication

The first step involves installing the google-adk package and importing necessary libraries. To authenticate, the tutorial retrieves the Google API key from the environment or securely prompts the user, ensuring smooth interaction with Google services.

!pip install google-adk
 
import os
import asyncio
import json
from typing import List, Dict, Any
from dataclasses import dataclass
from google.adk.agents import Agent, LlmAgent
from google.adk.tools import google_search
 
 
def get_api_key():
   """Get API key from user input or environment variable"""
   api_key = os.getenv("GOOGLE_API_KEY")
   if not api_key:
       from getpass import getpass
       api_key = getpass("Enter your Google API Key: ")
       if not api_key:
           raise ValueError("API key is required to run this tutorial")
       os.environ["GOOGLE_API_KEY"] = api_key
   return api_key

Specialized Agents Definition

Four agents are created, each with unique instructions and roles:

• Researcher: Uses Google Search to find accurate and current information.
• Calculator: Handles step-by-step mathematical problem solving.
• Analyst: Performs statistical data analysis and business insights.
• Writer: Crafts professional, well-structured content.

Demonstrating Agent Capabilities

Asynchronous methods demonstrate each agent's skills:

• Conducting up-to-date web research.
• Solving complex financial calculations like CAGR.
• Analyzing quarterly sales data for trends and insights.
• Generating executive summaries combining research and data.

Comprehensive Summary and Production Readiness

The tutorial concludes with a detailed summary showcasing execution statistics, agent capabilities, ADK features, task results, and readiness for deployment on cloud platforms like Cloud Run and Vertex AI Agent Engine. It emphasizes modular, scalable architecture and robust error handling.

Running the Tutorial

The main function orchestrates API key retrieval, agent creation, demonstrations, and summary display. It supports execution in both script and notebook environments, making it versatile for development and experimentation.

This guide provides a practical approach to building scalable, intelligent multi-agent systems using Google ADK, suitable for enterprise-level applications and further customization.

Check out the Full Codes in the original tutorial for detailed implementation.