State graphs and transitions in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to add a state transition from 'start' to 'processing'.

Agentic AI

state_graph = {}
state_graph['start'] = [1]

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

A['processing']

B'processing'

Cprocessing

D('processing')

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string instead of a list for transitions.

Forgetting to use quotes around 'processing'.

The transitions for a state are stored as a list of next states. So we use a list with 'processing' inside.

2fill in blank

medium

Complete the code to check if 'end' is a valid next state from 'processing'.

Agentic AI

if [1] in state_graph['processing']:
    print('Can move to end')

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

A"processing"

Bend

C'end'

D'processing'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a variable name without quotes.

Checking for the wrong state name.

We check if the string 'end' is in the list of next states from 'processing'.

3fill in blank

hard

Fix the error in the code to correctly add a transition from 'processing' to 'end'.

Agentic AI

state_graph['processing'] = [1]

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

A'end'

B('end')

Cend

D['end']

Attempts:

3 left

💡 Hint

Common Mistakes

Assigning a string instead of a list.

Using parentheses which create a string, not a tuple.

Transitions must be lists of states, so we use ['end'] to add the transition.

4fill in blank

hard

Fill both blanks to create a state graph with transitions from 'start' to 'processing' and from 'processing' to 'end'.

Agentic AI

state_graph = {
    'start': [1],
    'processing': [2]
}

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

A['processing']

B'end'

C['end']

D'processing'

Attempts:

3 left

💡 Hint

Common Mistakes

Using strings instead of lists for transitions.

Mixing up the order of states.

The 'start' state transitions to ['processing'], and 'processing' transitions to ['end'], both as lists.

5fill in blank

hard

Fill all three blanks to define a function that returns the next states from a given state in the graph.

Agentic AI

def get_next_states(state_graph, state):
    return state_graph.get([1], [2])

next_states = get_next_states(state_graph, [3])

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

Astate

B[]

C'processing'

D'start'

Attempts:

3 left

💡 Hint

Common Mistakes

Using a string literal instead of the variable 'state'.

Not providing a default value for missing keys.

Passing the wrong state name when calling the function.

The function looks up the given state in the graph, returning an empty list if not found. We call it with 'start' to get its next states.