Build Your First Agentic AI with Python & Gemini | Hello World AI Agent in 10 Minutes

What You'll Build We'll create a simple AI agent with two tools: 🖥️ System Platform Tool Detects the operating system, machine, platform, and system information. 🕐 Current Date & Time Tool Returns the current date and time for a requested timezone. The interesting part? We don't manually decide which function to call. We give the tools to the Gemini model, and the model decides which tool to use based on the user's request. 🧠 What You'll Learn What is Agentic AI? Generative AI vs Agentic AI How AI agents use tools How to create a Python virtual environment How to use the Google Gemini Python SDK How to securely load API keys using .env How to create Python functions as AI tools How Gemini decides when to call a tool How tool arguments can be generated from natural language How to build a simple interactive AI agent 🛠️ Technologies Used Python Google Gemini API google-genai python-dotenv Python datetime Python zoneinfo ⏱️ Chapters 00:00 — Introduction 00:30 — Generative AI vs Agentic AI 02:00 — Project Setup 03:30 — Gemini API Key & Project Structure 04:15 — Writing the Agent Code 04:15 — Gemini Client & Imports 05:00 — Creating the System Platform Tool 06:00 — Creating the Date & Time Tool 06:45 — Creating the AI Agent 08:15 — Running the Application 09:45 — Wrap-up 💻 Example Questions We'll test our agent with: "What platform am I running on?" The agent identifies that it needs system information and calls the platform tool. "What is the current time in Asia/Tokyo?" The agent selects the date/time tool and passes the timezone as an argument. "What is the capital of France?" No tool is required, so the model answers directly. This demonstrates a fundamental concept of Agentic AI: Give the model tools, and let the model decide when those tools are needed. 📁 Project Structure hello-world-ai-agent/ ├── venv/ ├── .env ├── requirements.txt └── app/ └── agent.py 🔐 Security Note Never share your Gemini API key publicly. Do not commit your .env file to GitHub or include your API key directly in your source code. 🚀 What's Next? This simple example is the foundation for more advanced AI agents. The same approach can be extended to: REST APIs Databases File systems Web services Business automation External tools Multi-step AI workflows Follow DevToAI for more practical tutorials on Python, Generative AI, Agentic AI, Gemini, LLMs, and AI application development. 👍 If you found this tutorial useful, consider liking the video and subscribing to DevToAI. #AgenticAI #Python #Gemini #AIAgent #GenerativeAI #GoogleGemini #PythonAI #LLM #AIProgramming #DevToAI Links for API key creation https://aistudio.google.com/api-keys https://ai.google.dev/gemini-api/docs/api-key