Chat completions endpoint in Prompt Engineering / GenAI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to send a chat message using the completions endpoint.

Prompt Engineering / GenAI

response = client.chat.completions.create(model="gpt-4o-mini", messages=[{"role": "user", "content": [1]])

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

A"Hello, how are you?"

BHello, how are you?

C'Hello, how are you?'

DHello how are you

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to put the message content inside quotes.

Using single quotes instead of double quotes in JSON.

The message content must be a string enclosed in quotes. Double quotes are standard for JSON strings.

2fill in blank

medium

Complete the code to extract the chat completion text from the response.

Prompt Engineering / GenAI

completion_text = response.choices[0].[1].content

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

Aresponse

Btext

Ccontent

Dmessage

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'text' instead of 'message'.

Trying to access 'content' directly from choices[0].

The chat completions API returns the message inside the 'message' attribute of the first choice.

3fill in blank

hard

Fix the error in the code to correctly send multiple messages in the chat completion request.

Prompt Engineering / GenAI

messages = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": [1]
]
response = client.chat.completions.create(model="gpt-4o-mini", messages=messages)

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

AWhat is the weather today?

B'What is the weather today?'

C"What is the weather today?"

DWhat is the weather today

Attempts:

3 left

💡 Hint

Common Mistakes

Omitting quotes around the message content.

Using single quotes instead of double quotes.

The content must be a string enclosed in double quotes to be valid JSON.

4fill in blank

hard

Fill both blanks to create a chat completion request with a system and user message.

Prompt Engineering / GenAI

messages = [
    {"role": [1], "content": "You are a friendly bot."},
    {"role": [2], "content": "Tell me a joke."}
]
response = client.chat.completions.create(model="gpt-4o-mini", messages=messages)

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

A"system"

B"assistant"

C"user"

D"bot"

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'assistant' or 'bot' as the user role.

Not quoting the role strings.

The first message role is 'system' and the second is 'user' to represent the user input.

5fill in blank

hard

Fill all three blanks to extract the chat completion text and print it.

Prompt Engineering / GenAI

response = client.chat.completions.create(model="gpt-4o-mini", messages=[{"role": "user", "content": "Hello!"}])
completion = response.[1][0].[2].[3]
print(completion)

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

Achoices

Bmessage

Ccontent

Dresults

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'results' instead of 'choices'.

Accessing 'content' directly from choices[0].

Missing the 'message' attribute.

The response has a 'choices' list; each choice has a 'message' object with 'content' text.