Build a Reflection Agent with LangGraph

In this tutorial, you'll learn how to create a Reflection Agent using LangGraph. This powerful agent pattern allows an LLM to generate a draft, critique its own output, revise the response, and repeat until the answer meets a quality threshold. We’ll build the complete workflow step by step in Python. 📌 What You’ll Learn What a Reflection Agent is How self-critique improves LLM outputs How to define shared state in LangGraph How to create Generator and Critic nodes How to implement an iterative revision loop How to decide when to stop How to compile and run the graph 🧠 Reflection Workflow The Reflection Agent follows this cycle: Generator Node creates an initial draft. Critic Node reviews the draft and suggests improvements. Should Continue checks: Has the draft been approved? Has the maximum number of iterations been reached? If not approved, the workflow loops back to the Generator Node. If approved, the final response is returned. 🛠 Technologies Used Python LangGraph LangChain OpenAI API GPT-4o-mini 🏗️ Step-by-Step Workflow Define the graph state Create the Generator node Create the Critic node Build the stopping logic Add conditional edges Compile the graph Run the Reflection Agent 🎯 Why Reflection Agents Matter Reflection Agents can significantly improve output quality for tasks such as: Blog writing Code generation Data analysis Report drafting Research summaries By iteratively critiquing and refining responses, the agent produces more accurate and polished results. 🌐 Try It Yourself (https://datajarvis.ai) You can experiment with AI agents on my platform: Data Jarvis AI → Open the Agent Builder app. 🔔 Subscribe for More AI Tutorials If you're interested in: LangGraph AI Agents Multi-Agent Systems OpenAI API Python Automation Subscribe for more practical, step-by-step tutorials. 🏷️ Hashtags #langgraph #ReflectionAgent #aiagents #pythonai #openai #generativeai #langchain #llm #openaiapi #gpt4o #pythontutorial #aiengineering #artificialintelligence Github : https://github.com/pranaydave/data_jarvis_public/blob/main/agent_building/reflection_agent.py