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]

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

A[]

B{}

CNone

D0

Attempts:

3 left

💡 Hint

Common Mistakes

Using {} which creates an empty dictionary instead of a list.

Using None which is not a container.

Using 0 which is an integer, not a list.

The reasoning chain should start as an empty list to store steps sequentially.

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

💡 Hint

Common Mistakes

Using remove or pop which delete items instead of adding.

Using insert without specifying an index.

The append method adds a new item to the end of the list, which is suitable for adding reasoning steps.

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

💡 Hint

Common Mistakes

Using [0] which accesses the first item, not the last.

Using [1] or [-2] which do not reliably get the last step.

Using [-1] accesses the last item in the list, which is the most recent reasoning step.

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

💡 Hint

Common Mistakes

Using 'j' instead of 'i' inconsistently.

Forgetting the outer curly braces for the dictionary comprehension.

Using range(len(reasoning_chain)) incorrectly inside the comprehension.

We use dict comprehension with 'i' as the index variable to map step numbers to steps.

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])]

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

Adata

B>

C10

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '>' which filters shorter steps.

Checking for 'Data' without lowercasing the step.

Using a number too small or too large for filtering.

We check if 'data' is in the step (case-insensitive) and filter steps longer than 10 characters.