Tracing agent reasoning chains in Agentic Ai - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to initialize the reasoning chain with an empty list.

Agentic_ai

reasoning_chain = [1]

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A[]

B{}

CNone

D0

Attempts:

3 left

2fill in blank

medium

Complete the code to add a new reasoning step to the chain.

Agentic_ai

reasoning_chain.[1]('Step 1: Analyze input data')

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Ainsert

Bappend

Cpop

Dremove

Attempts:

3 left

3fill in blank

hard

Fix the error in the code to retrieve the last reasoning step.

Agentic_ai

last_step = reasoning_chain[1]

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A[-1]

B[0]

C[1]

D[-2]

Attempts:

3 left

4fill in blank

hard

Fill both blanks to create a dictionary mapping step numbers to reasoning steps.

Agentic_ai

step_dict = { [1]: reasoning_chain[[2]] for [1] in range(len(reasoning_chain)) }

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Ai

Bj

Crange(len(reasoning_chain))

Ddict

Attempts:

3 left

5fill in blank

hard

Fill all three blanks to filter reasoning steps containing the word 'data' and create a list of those steps.

Agentic_ai

filtered_steps = [step for step in reasoning_chain if '[1]' in step.lower() and len(step) [2] int([3])]

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Adata

B>

C10

D<

Attempts:

3 left