Multi-turn conversations with DeepSeek

Working with DeepSeek in Python

James Chapman

Curriculum Manager, DataCamp

Assistant messages

response = client.chat.completions.create(
  model="deepseek-ai/DeepSeek-V3",
  messages=[{"role": "system",
             "content": "You are a Python programming tutor who responds using concise,
                         one-sentence explanations."},

            {"role": "user",
             "content": "How do you define a Python list?"},

            {"role": "assistant",
             "content": "Lists are defined by enclosing a comma-separated sequence of
                         objects inside square brackets [ ]."},

            {"role": "user",
             "content": "What is the difference between mutable and immutable objects?"}]
)

Building a conversation

Sending a user request telling the assistant that my name is James. The assistant responses with "Hi James!"

Building a conversation

The "Hi James!" response from the assistant is moved into the messages list of dictionaries.

Building a conversation

The "Hi James!" response from the assistant is moved into the messages list of dictionaries.

Building a conversation

A user response is added to the end of the message list of dictionaries asking "What is my name?"

Building a conversation

The assistant replies with "Your name is James."

messages = [{"role": "system",
             "content": "You are a Python programming tutor who responds using concise,
                         one-sentence explanations."}]


user_qs = ["Why is Python so popular?", "Summarize this in one sentence."]

for q in user_qs:

    print("User: ", q)

    user_dict = {"role": "user", "content": q}

    messages.append(user_dict)


    response = client.chat.completions.create(
        model="deepseek-ai/DeepSeek-V3",
        messages=messages
    )


    assistant_dict = {"role": "assistant", "content": response.choices[0].message.content}
    messages.append(assistant_dict)

    print("Assistant: ", response.choices[0].message.content, "\n")

Conversation with an AI

User:  Why is Python so popular?
Assistant:  Python is popular because it's easy to learn, has a simple syntax, and
offers powerful libraries for various applications like web development, data
science, and automation. 

User:  Summarize this in one sentence.
Assistant:  Python's simplicity, versatility, and extensive libraries make it
widely popular.

Let's practice!

Working with DeepSeek in Python