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04. Agents Under the Hood

Overview

  • Lessons: 18

  • Folder: 04-agents-under-the-hood

Lesson Map

  1. Introduction to the Core Architecture of AI Agents
  2. Project Theme: The E-Commerce Agent
  3. The Essentials of ReAct
  4. Setup
  5. Layer 1: The ReAct Loop
  6. Tool Binding and Defensive Prompting
  7. Understanding the ReAct Agent Loop in LangChain
  8. Model Switch
  9. Quiz: AI Agent Loop with LangChain Tool Calling
  10. Layer 2: Manual JSON Schemas vs. LangChain Tool Abstraction
  11. Building a ReAct Agent Loop with the Raw Ollama SDK
  12. Recap
  13. Quiz: Raw Function Calling - AI Agent Without LangChain
  14. Layer 3: The ReAct Prompt
  15. Generating Dynamic Tool Descriptions in Python
  16. Understanding the ReAct Prompt
  17. Implementing Manual Tool Calling for LLMs
  18. Agent Loop With ReAct Prompt

Usage

Use this section index as your entry point, then capture detailed notes directly in each lesson page.