Creating an AI chatbot

To complete your POC, you'll integrate your message history with a for loop, so you can send repeated prompts to the model, storing each response in the message history in series.

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Working with DeepSeek in Python

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Anleitung zur Übung

Loop over the user messages (user_msgs).
Create a dictionary for the user message in each iteration, and append it to messages.
Send messages to the model in a chat request.
Append the assistant message dictionary to messages.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

client = OpenAI(api_key="", base_url="https://api.together.xyz/v1")

messages = [{"role": "system", "content": "You are a helpful math tutor that generates concise, one-sentence responses."}]
user_msgs = ["Explain what pi is.", "Summarize this in two bullet points."]

# Loop over the user questions
for q in ____:
    print("User: ", q)
    
    # Create a dictionary for the user message from q and append to messages
    user_dict = {"role": ____, "content": ____}
    messages.append(____)
    
    # Create the API request
    response = client.chat.completions.create(
        model="deepseek-ai/DeepSeek-V3",
        ____,
        max_tokens=100
    )
    
    # Append the assistant's message to messages
    assistant_dict = {"role": "assistant", "content": response.choices[0].message.content}
    messages.append(____)
    print("Assistant: ", response.choices[0].message.content, "\n")

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