Google Agent Development Kit: EASIEST way to create AI Agents!
# 🤖 Complete Google Agent Development Kit (ADK) Tutorial - Build AI Agents in Minutes! Learn how to build powerful AI agents using Google's Agent Development Kit (ADK) - the easiest way to create, evaluate, and deploy AI agents with built-in UI and API server! Perfect for absolute beginners who want to get started with AI agent development. Code: https://mer.vin/2025/05/google-adk-agents/ Pydantic Tutorial: https://www.youtube.com/watch?v=pioxlop_BFs ## 🚀 What You'll Learn: ### **🔧 6 Different Agent Types:** 1. **Basic Agent** - Simple question-answering agent 2. **Agent with Tools** - Real-time stock price fetching using Yahoo Finance 3. **Agent with State** - Memory capabilities to remember previous searches 4. **Multi-Tool Agent** - Multiple tools (stock price + company info) 5. **Structured Output Agent** - Consistent, structured responses using Pydantic 6. **Callback Agent** - Debug and trace tool usage with before/after callbacks ### **⭐ Key Features Covered:** - **Multi-agent system** without complexity - **Visual debugging** and evaluation tools - **Built-in state management** and artifacts - **Session handling** and conversation memory - **Real-time data integration** with custom tools - **One-command deployment** to Google Cloud - **API server setup** with automatic documentation ## 📋 What We Build: - Stock price checking agent with real-time Yahoo Finance data - Memory-enabled agent that remembers search history - Multi-functional agent with price and company info tools - Structured response agent with buy/sell recommendations - Debug-friendly agent with callback functions ## 🛠️ Setup Requirements: - Python environment - Google API key from aistudio.google.com - Y-Finance library for stock data - Pydantic for structured outputs ## 💻 Installation Commands: ```bash pip install google-adk yfinance adk create adk run app.py adk web adk deploy cloud-run app adk api-server ``` ## 🌟 Why Google ADK? - **Simpler than other frameworks** (AutoGen, LangGraph, Crew AI) - **Build in minutes** with just a few lines of code - **Multiple model support** with full transparency - **Visual debugging** and evaluation capabilities - **Three simple steps**: Install ADK → Define Agent → Deploy Anywhere ## 🚀 Deployment Options: - **Vertex AI Agent Engine** - **Google Cloud Run** (covered in tutorial) - **Custom Infrastructure** ## 📊 Features Demonstrated: - **Real-time stock data** fetching and analysis - **Conversation memory** and state management - **Tool interaction visualization** in web UI - **Session management** with unique IDs - **Structured responses** with consistent formatting - **Callback functions** for debugging and monitoring - **API documentation** auto-generation ## 🔗 All Code Available: Complete source code for all 6 agent types provided in description for easy copy-paste implementation. ## 🎯 Perfect For: - AI/ML beginners wanting to build agents - Developers looking for simple agent frameworks - Anyone interested in Google's AI development tools - Those wanting to deploy AI agents quickly ## 📺 Related Content: Don't miss our Ollama MCP Agent tutorial for more advanced agent development techniques! --- **🔔 Subscribe for more AI tutorials and hit the bell icon for notifications!** **👍 Like this video if it helped you build your first AI agent!** #GoogleADK #AIAgents #MachineLearning #Python #GoogleAI #ArtificialIntelligence #Programming #Tutorial #StockMarket #YahooFinance #CloudDeployment #APIServer #Pydantic #MultiAgentSystems --- **📚 Additional Resources:** - Google AI Studio: aistudio.google.com - Google Cloud Console: cloud.google.com 🔗 Links: Patreon: https://patreon.com/MervinPraison Ko-fi: https://ko-fi.com/mervinpraison Discord: https://discord.gg/nNZu5gGT59 Twitter / X : https://twitter.com/mervinpraison GPU for 50% of it's cost: https://bit.ly/mervin-praison Coupon: MervinPraison (A6000, A5000) **💬 Let me know in the comments what you think about Google ADK and what AI agents you'd like to build next!** **Timestamps:** 0:00 - Introduction to Google's Agent Development Kit 0:49 - Multi-Agent System Overview & Framework Comparison 1:16 - Three Simple Steps: Install, Define, Deploy 1:45 - Installation & Setup Process 2:36 - Creating Basic Agent 4:44 - Basic Agent with Tool Integration 7:12 - Agent with State/Memory Capabilities 9:03 - Multi-Tool Agent Implementation 10:04 - Structured Output Agent with Pydantic 11:43 - Callback Agent with Pre/Post Tool Functions 13:25 - Deployment Options & Cloud Run Setup 14:02 - API Server Configuration 14:29 - Conclusion & Additional Resources
