Function calling in LLMs in Agentic AI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to call a function named 'get_weather' using the LLM's function calling feature.

Agentic AI

response = llm.call_function('[1]')

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

Aget_weather

Bprocess_input

Csend_message

Dfetch_data

Attempts:

3 left

💡 Hint

Common Mistakes

Using a function name unrelated to the task, like 'send_message'.

Forgetting to use the exact function name as defined.

The function 'get_weather' is the correct function to call for retrieving weather information.

2fill in blank

medium

Complete the code to specify the function parameters for 'get_weather' with a location argument.

Agentic AI

params = {'location': '[1]'}

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Acity_name

Btemperature

Cweather_data

Dforecast

Attempts:

3 left

💡 Hint

Common Mistakes

Using unrelated terms like 'temperature' as the location value.

Passing the entire weather data instead of a location name.

The parameter 'location' should be assigned a city name to specify where to get the weather.

3fill in blank

hard

Fix the error in the function call by correctly passing parameters to 'call_function'.

Agentic AI

response = llm.call_function('get_weather', [1])

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Alocation

Bparams

Cget_weather

Dweather_response

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the function name again instead of parameters.

Passing a single string instead of a dictionary.

The function 'call_function' expects parameters as a dictionary, which is stored in 'params'.

4fill in blank

hard

Fill both blanks to extract the temperature from the response dictionary.

Agentic AI

temperature = response[1]'data'[2]'temperature'

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A[

B]

C.

D->

Attempts:

3 left

💡 Hint

Common Mistakes

Using dot notation which does not work for dictionaries.

Using invalid operators like '->'.

To access nested dictionary values, use square brackets with keys as strings.

5fill in blank

hard

Fill all three blanks to define a function schema for 'get_weather' with a required 'location' parameter.

Agentic AI

function_schema = {
  'name': '[1]',
  'parameters': {
    'location': {'type': '[2]', 'required': [3]
  }
}

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

Aget_weather

Bstring

CTrue

DFalse

Attempts:

3 left

💡 Hint

Common Mistakes

Using incorrect function names.

Setting 'required' to False when it should be True.

Using wrong parameter types.

The function name is 'get_weather', the parameter type is 'string', and it is required (True).