Topic
React Agent
Learn React Agent as a connected topic across chapters, concepts, simulations, and interview reasoning.
10 Concepts3 Articles58 min
Overview
Learn React Agent as a connected topic across chapters, concepts, simulations, and interview reasoning.
How this topic helps
Ai Agents
Llm
Langchain
Python
Learning Path in this Topic
Series that contain articles from React Agent. Select a path to filter the article list.
Articles
3 matched articles
Article 1The ReAct Agent Pattern in LangGraph: Think, Act, Observe, RepeatTLDR: ReAct = Think + Act + Observe, looped as a LangGraph graph ā prebuilt or custom.
š The Single-Shot Failure: Why One LLM Call Isn't Enough for Complex Tasks
Your agent is supposed to write a f22 minArticle 2LangChain Tools and Agents: The Classic Agent LoopšÆ Quick TLDR: The Classic Agent Loop
TLDR: LangChain's @tool decorator plus AgentExecutor give you a working tool-calling agent in about 30 lines of Python. The ReAct loop ā Thought ā Action ā Obser21 min
Article 3Multistep AI Agents: The Power of PlanningTLDR: A simple ReAct agent reacts one tool call at a time. A multistep agent plans a complete task decomposition upfront, then executes each step sequentially ā handling complex goals that require 5-115 min