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Installing CrewAI

Basic Installation

# Install CrewAI
pip install crewai

# Install with all tools
pip install 'crewai[tools]'

Create a New Project

# Using CrewAI CLI (recommended)
pip install crewai
crewai create my_project

# Project structure created:
my_project/
├── src/
│   └── my_project/
│       ├── __init__.py
│       ├── main.py
│       ├── crew.py
│       ├── tools/
│       │   └── custom_tool.py
│       └── config/
│           ├── agents.yaml
│           └── tasks.yaml
├── .env
├── pyproject.toml
└── README.md

Manual Setup

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
# or: venv\Scripts\activate  # Windows

# Install dependencies
pip install crewai crewai-tools python-dotenv

Requirements

Python 3.10 or higher
An LLM API key (OpenAI, Anthropic, or local)

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Configuring CrewAI

Environment Variables

Create a .env file in your project root:

# .env
OPENAI_API_KEY=sk-your-openai-key
# Or for other providers:
ANTHROPIC_API_KEY=sk-ant-your-key
GROQ_API_KEY=gsk_your-key

Loading Environment Variables

from dotenv import load_dotenv
import os

load_dotenv()

# CrewAI automatically uses OPENAI_API_KEY
# Or configure explicitly:
from crewai import Agent, LLM

llm = LLM(
    model="gpt-4",
    api_key=os.getenv("OPENAI_API_KEY")
)

Using Different LLM Providers

from crewai import LLM

# OpenAI (default)
llm = LLM(model="gpt-4")

# Anthropic Claude
llm = LLM(model="claude-3-sonnet-20240229")

# Ollama (local)
llm = LLM(
    model="ollama/llama2",
    base_url="http://localhost:11434"
)

# Groq
llm = LLM(
    model="groq/llama-3.1-70b-versatile",
    api_key=os.getenv("GROQ_API_KEY")
)

Verify Installation

from crewai import Agent, Task, Crew

# Quick test
agent = Agent(
    role="Test Agent",
    goal="Verify installation",
    backstory="A simple test agent"
)

print("✅ CrewAI installed successfully!")
print(f"Agent role: {agent.role}")