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AI Agents with LangChain & Autonomous Workflows · Lesson

Defining & Using Tools

Learn how to create and integrate tools that allow agents to perform actions like searching the web or executing code.

Agents Need Tools

Welcome! In this lesson, we'll explore how AI agents can go beyond just talking. While Large Language Models (LLMs) are great at understanding and generating text, they have limitations.

They can't access real-time information, perform calculations, or interact with external systems. This is where tools come in!

Extending Agent Capabilities

Think of tools as the agent's 'hands' and 'eyes' to the outside world. They allow an agent to:

  • Search the web: Get up-to-date information.
  • Execute code: Perform calculations or run scripts.
  • Access databases: Retrieve specific data.
  • Interact with APIs: Control smart devices, send emails, etc.

Tools transform a conversational LLM into an active, problem-solving agent.

All lessons in this course

  1. Defining & Using Tools
  2. Agent Types and Decision Making
  3. Leveraging Pre-built Toolkits
  4. Error Handling and Safe Tool Execution
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