Building Your First AI Agent with Python: A Beginner's Guide

A developer built a beginner-friendly AI agent in Python that acts as a weather assistant. The agent uses OpenAI's API with function calling to query the OpenWeatherMap API and answer questions like "What's the weather in Paris?" The tutorial demonstrates the core pattern of an AI agent: perceiving input, deciding on actions, and using tools to achieve a goal.

AI agents are programs that can perceive information, decide what to do, and take actions toward a goal. Unlike a simple chatbot that only responds to prompts, an agent can use tools, follow steps, and adapt its behavior based on context. In this tutorial, you’ll build a small weather assistant agent in Python that can answer questions like “What’s the weather in Paris?” by calling a weather API. Prerequisites Before you start, make sure you have: Install the libraries: A simple agent usually follows this pattern: Use the result to generate a final response Set up your project Create a file named agent.py and load your environment variables: This function calls OpenWeatherMap and returns a simplified result. We’ll use OpenAI’s API with function calling so the model can request the weather tool. Conclusion You just built your first AI agent. Starting with a weather assistant is a great way to learn the workflow without getting overwhelmed. From here, you can expand into more advanced agents with memory and multiple tools.