Python: Create a ReAct Agent from Scratch

In this video, we dive deep into building intelligent agents from scratch, without relying on popular frameworks like LangChain or LlamaIndex. Instead, we’ll use pure Python and Groq’s free LLMs, making it accessible for everyone! Links: === 🚀 Zero-to-Hero AI Engineer Bootcamp: https://aibootcamp.dev/ Code: https://github.com/alejandro-ao/agents-no-framework Buy me a coffee... or a beer (thanks!): http://link.alejandro-ao.com/support-me 🔍 Topics covered in this video: === - Understanding the ReAct pattern for AI agents - Utilizing Groq’s LLM to think and choose actions - Building multi-agent systems from scratch - Incorporating observations into the prompt in a continuous loop - Preparing to use advanced tools like LangChain, LlamaIndex, and CrewAI Timestamps === 00:00 Intro 1:27 What is an Agent 3:05 What is a React Agent 10:29 Get a Groq API Key 12:41 Init Groq 15:15 Code the Agent Class 22:12 Overview of the System Prompt 27:06 Setup the Agent's Tools 29:20 Run the Agent Manually 38:08 Run the Agent in a Loop 54:59 Outro Keywords: agents, LLM, OpenAI, multi-agent systems, Groq, CrewAI, AI agents, AI automation, React agent, chain of thought, artificial intelligence, LangChain, LlamaIndex, agentic, teams of AI agents, Anthropic, Llama3