Step 2: Project Setup

# Create the project directory
mkdir content-crew
cd content-crew
 
# Create a virtual environment
python3 -m venv venv
 
# Activate it
# macOS/Linux:
source venv/bin/activate
# Windows:
# venv\Scripts\activate

pip install anthropic duckduckgo-search python-dotenv

# requirements.txt
anthropic>=0.49.0
duckduckgo-search>=6.0.0
python-dotenv>=1.0.0

# .env — API key (never commit this file)
ANTHROPIC_API_KEY=your-api-key-here

# config.py — Load environment variables and configure the LLM
 
import os
from dotenv import load_dotenv
 
load_dotenv()
 
# Verify the API key is set
ANTHROPIC_API_KEY = os.getenv("ANTHROPIC_API_KEY")
if not ANTHROPIC_API_KEY:
    raise ValueError(
        "ANTHROPIC_API_KEY not found. Add it to your .env file."
    )
 
# Model to use for all agents
MODEL = "claude-sonnet-4-20250514"

# Create the Python files
touch main.py agent.py agents.py tools.py
 
# Create the output directory
mkdir -p output
 
# Create .gitignore
cat > .gitignore << 'EOF'
.env
venv/
__pycache__/
output/*.md
EOF

# test_setup.py — Verify installation and API key
 
from config import ANTHROPIC_API_KEY, MODEL
from anthropic import Anthropic
 
client = Anthropic(api_key=ANTHROPIC_API_KEY)
response = client.messages.create(
    model=MODEL,
    max_tokens=50,
    messages=[{"role": "user", "content": "Say 'Setup complete!' in exactly two words."}],
)
print(f"Model: {MODEL}")
print(f"Response: {response.content[0].text}")
print("Setup verified.")

python test_setup.py

rm test_setup.py