Customer support agent architecture in Agentic Ai - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize the customer support agent with a knowledge base.

Agentic_ai

agent = CustomerSupportAgent(knowledge_base=[1])

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AFAQDatabase()

BUserProfile()

CSessionManager()

DChatHistory()

Attempts:

3 left

2fill in blank

medium

Complete the code to preprocess the user's message before passing it to the agent.

Agentic_ai

processed_message = preprocess([1])

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Auser_message

Bknowledge_base

Cagent_response

Dagent_state

Attempts:

3 left

3fill in blank

hard

Fix the error in the code that generates the agent's reply.

Agentic_ai

reply = agent.generate_reply([1])

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Aknowledge_base

Braw_input

Cagent_state

Dprocessed_message

Attempts:

3 left

4fill in blank

hard

Fill both blanks to update the agent's state and log the conversation.

Agentic_ai

agent.update_state([1])
logger.log_conversation([2])

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Areply

Buser_message

Cprocessed_message

Dagent_state

Attempts:

3 left

5fill in blank

hard

Fill all three blanks to define the main loop of the customer support agent.

Agentic_ai

while True:
    [1] = listen_to_user()
    [2] = preprocess([1])
    [3] = agent.generate_reply([2])
    send_to_user([3])

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Auser_input

Bprocessed_input

Creply

Dagent_state

Attempts:

3 left