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.