Tutorial 2: Agent Team for Your Project

from crewai import Agent, Task, Crew, Process, LLM

llm = LLM(model="ollama/qwen3.5:4b", base_url="http://localhost:11434")

pm = Agent(
    role="Project Manager",
    goal="Coordinate the team, distribute tasks, verify results",
    backstory="Experienced PM who keeps the team focused on delivery.",
    llm=llm
)

analyst = Agent(
    role="Analyst",
    goal="Gather requirements and write specifications",
    backstory="Detail-oriented analyst who turns vague ideas into clear specs.",
    llm=llm
)

developer = Agent(
    role="Developer",
    goal="Implement features according to specification",
    backstory="Senior full-stack developer who writes clean, tested code.",
    llm=llm
)

qa = Agent(
    role="QA Engineer",
    goal="Test everything and find bugs before users do",
    backstory="Meticulous tester who catches everything.",
    llm=llm
)

task_analyze = Task(
    description="Analyze requirements for a TODO app with web interface. Users should be able to create, read, update, and delete tasks.",
    agent=analyst,
    expected_output="Requirements document with functional and non-functional specs"
)

task_architect = Task(
    description="Design the architecture based on requirements. What components, what API endpoints.",
    agent=pm,
    expected_output="Architecture description with component list"
)

task_backend = Task(
    description="Implement REST API for TODO: create, read, update, delete tasks. Use FastAPI.",
    agent=developer,
    expected_output="Python code for the API"
)

task_test = Task(
    description="Write tests for the API. Test all CRUD operations, including edge cases.",
    agent=qa,
    expected_output="pytest test file"
)

crew = Crew(
    agents=[pm, analyst, developer, qa],
    tasks=[task_analyze, task_architect, task_backend, task_test],
    process=Process.hierarchical,  # PM manages the team
    manager_llm=llm,
    verbose=True
)

result = crew.kickoff()
print(result)