Agent-to-agent communication standards in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a basic message format for agent communication.

Agentic AI

message = {"sender": "AgentA", "receiver": "AgentB", "content": [1]

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

ATrue

B"Hello, AgentB!"

C12345

DNone

Attempts:

3 left

💡 Hint

Common Mistakes

Using a number or boolean instead of a string for message content.

The content of a message should be a string representing the information sent between agents.

2fill in blank

medium

Complete the code to send a message using a standard send function.

Agentic AI

def send_message(agent, message):
    agent.[1](message)

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

Asend

Breceive

Cprocess

Dstore

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'receive' instead of 'send'.

The send_message function should call the agent's send method to transmit the message.

3fill in blank

hard

Fix the error in the message parsing code to extract the sender correctly.

Agentic AI

def parse_message(msg):
    sender = msg[[1]]
    return sender

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

A"sender"

B0

C1

D'receiver'

Attempts:

3 left

💡 Hint

Common Mistakes

Using numeric index instead of key string.

Messages are dictionaries, so the sender is accessed by the key 'sender', not by index.

4fill in blank

hard

Fill both blanks to create a filter that selects messages sent by 'AgentX' and containing 'urgent'.

Agentic AI

filtered = [msg for msg in messages if msg[[1]] == 'AgentX' and 'urgent' [2] msg["content"]]

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

A"sender"

Bin

Cnot in

D"receiver"

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'not in' instead of 'in' for substring check.

Using wrong keys like 'receiver'.

We check if the sender key equals 'AgentX' and if the string 'urgent' is in the content.

5fill in blank

hard

Fill all three blanks to build a dictionary comprehension mapping agent names to their last received message content.

Agentic AI

last_messages = {agent: messages[-1][[1]] for agent, messages in [2].items() if messages and messages[-1][[3]] == agent}

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

A"content"

Binbox

C"receiver"

D"sender"

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'sender' instead of 'receiver' for the check.

Using wrong dictionary name instead of 'inbox'.

The comprehension uses 'inbox' as the dictionary of messages per agent, maps agent to last message content, and checks if the last message's receiver matches the agent.