Agentic Masterclass | Video 12 | Implement Reflection Pattern in Python with LangChain

In this tutorial, we demonstrate the reflection pattern using Python and LangChain. Learn how to create a multi-step AI workflow where the model generates code, reviews it critically, and refines it iteratively. We cover building a reflection loop, designing prompts for generation and critique, handling edge cases, and progressively improving Python functions step by step. Perfect for developers and AI enthusiasts looking to build smarter, self-improving AI agents.

Chapters

0:00:00 Introduction to Reflection Pattern
0:01:39 Four Major Steps of Reflection Pattern
0:02:43 Producer-Critic Model in Reflection
0:05:33 Scenarios for Reflection Pattern
0:08:55 Building a Practical Example of Reflection
0:10:39 Imports and Model Definition
0:12:00 Running the Reflection Code Function
0:17:00 Implementing the Critic Agent
0:18:56 Stopping Condition and Output
0:21:09 Running the Reflection Loop
0:24:44 Summary of Reflection Pattern

Видео Agentic Masterclass | Video 12 | Implement Reflection Pattern in Python with LangChain канала LearningHub