Tool Use AI Agents Python: Build Smart Agents That Call Functions

Tool Use AI Agents Python: Build Smart Agents That Call Functions Photo by Matheus Bertelli on Pexels You're building an AI agent, but it feels like you've hit a wall. Your agent can chat, but it can't actually do anything — no weather lookups, no database queries, no real-world interactions. It's stuck in conversation limbo while your users need an agent that can take action. This is where tool use (also called function calling) transforms your basic chatbot into a powerful AI agent. Instead of just generating text, your agent can now call Python functions, query APIs, manipulate data, and interact with external systems. It's the difference between an agent that talks about weather and one that actually fetches today's forecast. Related : Complete RAG Tutorial Python: Build Your First Agent In this guide, you'll learn how to implement tool use in Python AI agents from scratch. We'll build a practical weather station agent that can fetch real weather data and make decisions based on se