CrewAI for multi-agent teams in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize a CrewAI multi-agent team with a given name.

Agentic AI

team = CrewAI([1])

Drag options to blanks, or click blank then click option'

ANone

B"AlphaTeam"

CTrue

D42

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a number instead of a string.

Using a boolean value.

Passing None instead of a string.

The CrewAI constructor expects a string name for the team, so "AlphaTeam" is correct.

2fill in blank

medium

Complete the code to add an agent named 'Scout' to the CrewAI team.

Agentic AI

team.add_agent([1])

Drag options to blanks, or click blank then click option'

A"Scout"

BScout

Cagent_Scout

DScout()

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the name without quotes.

Passing a variable or function call instead of a string.

The add_agent method expects the agent's name as a string, so "Scout" is correct.

3fill in blank

hard

Fix the error in the code to start the CrewAI team execution.

Agentic AI

team.[1]()

Drag options to blanks, or click blank then click option'

Astart

Bexecute

Crun

Dlaunch

Attempts:

3 left

💡 Hint

Common Mistakes

Using run() which is not defined.

Using execute() or launch() which are invalid methods.

The correct method to start the team is start(), so 'start' is the right choice.

4fill in blank

hard

Fill both blanks to create a dictionary mapping agent names to their roles.

Agentic AI

roles = {"Scout": [1], "Builder": [2]

Drag options to blanks, or click blank then click option'

A"explorer"

B"constructor"

C"leader"

D"support"

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up roles between agents.

Using invalid role names.

The 'Scout' agent is an explorer and the 'Builder' agent is a constructor, so these roles fit best.

5fill in blank

hard

Fill all three blanks to define a function that assigns tasks to agents based on their role.

Agentic AI

def assign_task(agent):
    if agent.role == [1]:
        return [2]
    else:
        return [3]

Drag options to blanks, or click blank then click option'

A"explorer"

B"map the area"

C"build structures"

D"support"

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping tasks for roles.

Using incorrect string quotes.

If the agent's role is 'explorer', assign 'map the area'; otherwise, assign 'build structures'.

Practice

1. What is the main purpose of CrewAI in multi-agent teams?

easy

A. To replace human workers completely

B. To train a single AI model faster

C. To let multiple AI agents work together as a team

D. To store large amounts of data

Solution

1. Step 1: Understand CrewAI's role

   CrewAI is designed to enable multiple AI agents to collaborate.

2. Step 2: Compare options

   Only To let multiple AI agents work together as a team correctly describes teamwork among AI agents, while others describe unrelated tasks.

3. Final Answer:

   To let multiple AI agents work together as a team -> Option C

4. Quick Check:

   CrewAI teamwork = To let multiple AI agents work together as a team [OK]

Hint: CrewAI means teamwork among AI agents [OK]

Common Mistakes:

• Thinking CrewAI trains a single model
• Confusing data storage with teamwork
• Assuming CrewAI replaces humans fully

2. Which of the following is the correct way to create a CrewAI team in Python?

easy

A. team = CrewAI.create(['agent1', 'agent2'])

B. crew = create_team(CrewAI, ['agent1', 'agent2'])

C. team = CrewAI(['agent1', 'agent2']).create()

D. crew = CrewAI.create_team(['agent1', 'agent2'])

Solution

1. Step 1: Recall CrewAI team creation syntax

   The correct method is calling create_team on CrewAI with a list of agents.

2. Step 2: Check each option

   Only crew = CrewAI.create_team(['agent1', 'agent2']) matches the correct syntax; others misuse method names or order.

3. Final Answer:

   crew = CrewAI.create_team(['agent1', 'agent2']) -> Option D

4. Quick Check:

   Correct method call = crew = CrewAI.create_team(['agent1', 'agent2']) [OK]

Hint: Use CrewAI.create_team with agent list [OK]

Common Mistakes:

• Swapping method and class names
• Using wrong method like create() or create()
• Passing agents incorrectly

3. Given this code snippet, what will be the output?

crew = CrewAI.create_team(['agentA', 'agentB'])
results = crew.assign_tasks(['task1', 'task2'])
print(results)

medium

A. {'agentA': 'task1 done', 'agentB': 'task2 done'}

B. ['task1 done', 'task2 done']

C. {'task1': 'agentA done', 'task2': 'agentB done'}

D. Error: assign_tasks method not found

Solution

1. Step 1: Understand assign_tasks behavior

   assign_tasks assigns each task to an agent and returns a dictionary mapping agents to task results.

2. Step 2: Match output format

   {'agentA': 'task1 done', 'agentB': 'task2 done'} shows agent-task mapping with completion messages, matching expected output.

3. Final Answer:

   {'agentA': 'task1 done', 'agentB': 'task2 done'} -> Option A

4. Quick Check:

   Agent-task result dict = {'agentA': 'task1 done', 'agentB': 'task2 done'} [OK]

Hint: assign_tasks returns agent-task result dictionary [OK]

Common Mistakes:

• Expecting list instead of dict
• Swapping keys and values in output
• Assuming method does not exist

4. Identify the error in this CrewAI code snippet:

crew = CrewAI.create_team(['agent1', 'agent2'])
results = crew.assign_task(['task1', 'task2'])
print(results)

medium

A. Method name should be assign_tasks, not assign_task

B. Agent list should be a string, not a list

C. create_team does not accept a list argument

D. print cannot display results dictionary

Solution

1. Step 1: Check method names

   The correct method to assign multiple tasks is assign_tasks, not assign_task.

2. Step 2: Validate other parts

   Agent list as a list is correct; create_team accepts list; print can display dict.

3. Final Answer:

   Method name should be assign_tasks, not assign_task -> Option A

4. Quick Check:

   Correct method name = Method name should be assign_tasks, not assign_task [OK]

Hint: Check method names carefully for plurals [OK]

Common Mistakes:

• Using singular assign_task instead of assign_tasks
• Thinking agent list must be string
• Assuming print can't show dict

5. You want to create a CrewAI team where agents share partial results to improve overall problem-solving. Which CrewAI feature should you use?

hard

A. Task delegation without communication

B. Shared memory for agents to exchange information

C. Single-agent mode for faster processing

D. Random task assignment without feedback

Solution

1. Step 1: Understand collaboration needs

   Sharing partial results requires agents to communicate and exchange information.

2. Step 2: Identify CrewAI feature

   Shared memory allows agents to share data and improve teamwork effectively.

3. Step 3: Eliminate wrong options

   Options A, C, and D do not support communication or collaboration.

4. Final Answer:

   Shared memory for agents to exchange information -> Option B

5. Quick Check:

   Agent communication = Shared memory = Shared memory for agents to exchange information [OK]

Hint: Use shared memory for agent collaboration [OK]

Common Mistakes:

• Ignoring communication needs
• Choosing single-agent mode mistakenly
• Assuming random assignment helps collaboration