CrewAI Workshop

Intro

This repo contains demos and code samples for the Crew AI workshop.

Prerequisites

• Docker - Required for containerization
• dip - Docker Interaction Process tool

Installation

1. Install dip

You can install dip using RubyGems:

gem install dip

For alternative installation methods, please refer to the dip documentation.

2. Set up environment variables

Copy the example environment file and update it with your API keys:

cp .env.example .env

Required API keys:

• OPENAI_API_KEY - Get from OpenAI
• MEM0_API_KEY - Get from Mem0
• SERPER_API_KEY - Get from Serper
• OPENWEATHERMAP_API_KEY - Get from OpenWeatherMap

3. Build the Docker container

DEMO=1 dip crewai build

Running Demos

To run a specific demo, use the following command:

DEMO=<demo_number> dip crewai python run.py

For example, to run the first demo:

DEMO=1 dip crewai python run.py

Workshop Plan

• Basics (Agent / Task / Crew / LLM)
• Structured output (Pydantic)
• Multiple agents (Multiple Tasks / Multiple Agents)
• Tracing (Phoenix setup)
• Tools (CrewAI Tools / LangChainTools)
• More building blocks (Conditional Tasks / Guardrails)
• Tasks Advanced flows ( Async Tasks Executions )
• CLI (Training / Testing / Chat)
• Knowledge (JSON / PDF / RAG)
• Memory (ShortTermMemory / LongTermMemory / EntityMemory / UserMemory)
• Coding execution (CodingAgent)
• Collaboration + Manager (Manager LLM / Hierarchical Execution)
• Planning (Planner LLM)
• Flows (Basics/State/Control/Router)