Deploying CrewAI

ssh root@YOUR_SERVER_IP

# Update system packages
apt update && apt upgrade -y

# Create a non-root user
adduser crewai
usermod -aG sudo crewai

# Set up SSH key authentication
mkdir -p /home/crewai/.ssh
cp ~/.ssh/authorized_keys /home/crewai/.ssh/
chown -R crewai:crewai /home/crewai/.ssh
chmod 700 /home/crewai/.ssh
chmod 600 /home/crewai/.ssh/authorized_keys

ufw allow OpenSSH
ufw enable

# Optionally allow HTTP/HTTPS if serving a web interface
ufw allow 80/tcp
ufw allow 443/tcp

# Switch to the crewai user
su - crewai

# Check Python version
python3 --version

# If Python 3.10+ is not installed:
sudo apt install -y python3 python3-pip python3-venv

# Verify version (must be 3.10 - 3.13)
python3 --version

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# Restart your shell or source the env
source $HOME/.local/bin/env

# Verify uv installation
uv --version

# Install CrewAI CLI
uv tool install crewai

# Update PATH if prompted
uv tool update-shell

# Verify CrewAI installation
crewai version

# Create a virtual environment
python3 -m venv ~/crewai-env
source ~/crewai-env/bin/activate

# Install CrewAI and tools
pip install crewai
pip install 'crewai[tools]'

# Verify installation
crewai version

# Create a new CrewAI project
crewai create crew my_research_crew

# You'll be prompted to:
#   - Select an LLM provider (OpenAI, Anthropic, Ollama, etc.)
#   - Enter your API key

# Navigate to the project
cd my_research_crew

my_research_crew/
├── .env                   # API keys and environment variables
├── pyproject.toml         # Project dependencies
├── src/
│   └── my_research_crew/
│       ├── config/
│       │   ├── agents.yaml     # Agent definitions
│       │   └── tasks.yaml      # Task definitions
│       ├── crew.py             # Crew orchestration logic
│       ├── main.py             # Entry point
│       └── tools/              # Custom tool definitions
└── tests/                 # Test files

# For OpenAI:
OPENAI_API_KEY=sk-your-openai-api-key-here

# Or for Anthropic Claude:
ANTHROPIC_API_KEY=sk-ant-your-key-here

# Or for local Ollama (no key needed):
OPENAI_API_BASE=http://localhost:11434/v1
OPENAI_MODEL_NAME=ollama/llama3

researcher:
  role: Senior Research Analyst
  goal: >
    Discover and analyze the latest developments
    in {topic} with thorough, factual research
  backstory: >
    You are a seasoned research analyst with a keen
    eye for detail. You excel at finding and synthesizing
    information from multiple sources.
  verbose: true

writer:
  role: Technical Content Writer
  goal: >
    Transform research findings into clear, engaging
    content that is accurate and well-structured
  backstory: >
    You are an experienced technical writer known for
    making complex topics accessible. You always cite
    your sources and maintain factual accuracy.
  verbose: true

research_task:
  description: >
    Conduct comprehensive research on {topic}.
    Identify key trends, major players, and recent
    developments. Provide detailed analysis with sources.
  expected_output: >
    A detailed research report with key findings,
    trends, and supporting data points.
  agent: researcher

writing_task:
  description: >
    Using the research findings, write a comprehensive
    article on {topic}. Ensure the content is engaging,
    well-structured, and factually accurate.
  expected_output: >
    A polished article ready for publication with
    proper formatting and citations.
  agent: writer

# Install project dependencies
crewai install

# Run the crew
crewai run

# Or with custom inputs
crewai run --inputs '{"topic": "AI agents in 2026"}'

# /etc/systemd/system/crewai.service
[Unit]
Description=CrewAI Agent Service
After=network.target

[Service]
Type=simple
User=crewai
WorkingDirectory=/home/crewai/my_research_crew
Environment=PATH=/home/crewai/.local/bin:/usr/bin
EnvironmentFile=/home/crewai/my_research_crew/.env
ExecStart=/home/crewai/.local/bin/crewai run
Restart=on-failure
RestartSec=30
StandardOutput=journal
StandardError=journal

[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl enable crewai
sudo systemctl start crewai

# Check status
sudo systemctl status crewai

# View logs
journalctl -u crewai -f

# Edit crontab
crontab -e

# Run crew daily at 6 AM UTC
0 6 * * * cd /home/crewai/my_research_crew && /home/crewai/.local/bin/crewai run >> /home/crewai/logs/crew.log 2>&1

# Restrict .env file permissions
sudo chmod 600 /home/crewai/my_research_crew/.env
sudo chown crewai:crewai /home/crewai/my_research_crew/.env

# Install Ollama
curl -fsSL https://ollama.com/install.sh | sh

# Pull a model (llama3, mistral, etc.)
ollama pull llama3

# Verify it's running
ollama list

OPENAI_API_BASE=http://localhost:11434/v1
OPENAI_API_KEY=NA
OPENAI_MODEL_NAME=ollama/llama3

from crewai import Agent, LLM

llm = LLM(
    model="ollama/llama3",
    base_url="http://localhost:11434"
)

researcher = Agent(
    role="Research Analyst",
    goal="Find the latest information",
    backstory="Expert researcher",
    llm=llm
)

pip install 'crewai[tools]'

from crewai import tool

@tool("Database Query Tool")
def query_database(query: str) -> str:
    """Execute a database query and return results."""
    import sqlite3
    conn = sqlite3.connect('data.db')
    cursor = conn.execute(query)
    results = cursor.fetchall()
    conn.close()
    return str(results)

from tools.custom_tool import query_database

data_agent = Agent(
    role="Data Analyst",
    goal="Analyze data from the database",
    tools=[query_database],
    verbose=True
)

# In agents.yaml, set verbose: true
# Or in crew.py:
agent = Agent(
    role="Analyst",
    verbose=True   # Enables detailed logging
)

# Create logs directory
mkdir -p /home/crewai/logs

# Run with logging
crewai run >> /home/crewai/logs/crew-$(date +%Y%m%d).log 2>&1

# Real-time resource monitoring
htop

# Check memory usage
free -h

# Check disk usage
df -h