AI Agent with Tools
Give your agent superpowers with tools.
Learn how to extend AI agents with tools — functions that enable agents to perform actions beyond just generating text. Build a temperature conversion assistant using LangChain.
This tutorial teaches you how to extend AI agents with tools — functions that enable agents to perform actions beyond just generating text. By the end, you'll understand what tools are, how to create them, and how agents use them to accomplish tasks.
Why tools matter
Without tools, agents are like very smart chatbots — they can reason and generate text, but they can't take actions. With tools, agents become active problem-solvers that can manipulate data, fetch real-time information, and automate tasks.
What you'll learn
- Understand what tools are and why agents need them
- Create a tool using the
@tooldecorator - Add tools to an agent
- See how agents automatically decide when to use tools
- Test tools with different types of questions
Prerequisites: Completed the "AI Agents" course (Tutorial 01).
What you'll learn
Getting Started
Welcome to AI Agent with Tools — learn to extend your agent with real capabilities.
Introduction
Without tools, an agent can only generate text. With tools, it becomes an active problem-solver.
What Are Tools?
Tools are regular Python functions that agents can call to interact with their environment.
Agent-Tool Integration
Pass your tools to the agent at creation time — the rest is automatic.
Add Tools to Your Agent
Ready to give your agent superpowers? Open the notebook and follow along.
Next Steps
Your agent can now act, not just talk. Here's what comes next.
Quiz
Test your knowledge of agent tools and integration.
Free
Free access. No payment required.
- Lifetime access to all modules
- All future updates included
- Access to weekly Zoom webinars
- Private community access