Chat completions with GPT

Working with the OpenAI API

James Chapman

Curriculum Manager, DataCamp

The Chat Completions endpoint

Single-turn tasks

Text generation
Text transformation
Classification

Multi-turn conversations

→ Build on previous prompts and responses

A multi-turn conversation.

Roles

System: controls assistant's behavior
User: instruct the assistant
Assistant: response to user instruction
- Can also be written by the user to provide examples

The three roles in a chat interaction: the system, the user, and the assistant.

Request setup

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

Prompt setup

messages=[{"role": "system",
           "content": "You are a data science tutor who speaks concisely."},
          {"role": "user",
           "content": "What is the difference between mutable and immutable objects?"}]

Making a request

response = client.chat.completions.create(
  model="gpt-4o-mini",
  messages=[{"role": "system",
             "content": "You are a data science tutor who speaks concisely."},
            {"role": "user",
             "content": "What is the difference between mutable and immutable objects?"}]
)


print(response.choices[0].message.content)

The response

Mutable objects can be changed after creation, while immutable objects cannot be
modified once they are created.

Let's practice!

Working with the OpenAI API