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Introduction

LLM Agent Cookbook

Master the art of building production-ready LLM agents. This is a 4-week comprehensive course covering everything from basic ReAct patterns to advanced multi-agent orchestration.

Ready to start? Get Started → or jump right into Week 1

What You'll Learn

Prerequisites

  • Basic Python programming experience
  • Understanding of LLM concepts (prompts, tokens, API calls)
  • Familiarity with Jupyter notebooks

Quick Start

# Clone the repository
git clone https://github.com/SOTAAZlab/LLM-Agent-Cookbook.git
cd LLM-Agent-Cookbook
 
# Create conda environment
conda create -n sotaaz python=3.11 -y
conda activate sotaaz
 
# Install dependencies
pip install -r requirements.txt
 
# Set up API keys
cp .env.example .env
# Edit .env and add your API keys

Architecture Overview

Course Structure

WeekFocusKey Technologies
1Agent BasicsReAct, Function Calling, Pydantic
2Advanced ReasoningRAG, LangGraph, CoT/ToT
3CollaborationCrewAI, MCP, A2A
4DeploymentGuardrails, FastAPI, Docker

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