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.

Este ejercicio forma parte del curso

Working with DeepSeek in Python

Ver curso

Instrucciones del ejercicio

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.

Ejercicio interactivo práctico

Prueba este ejercicio y completa el código de muestra.

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")

Editar y ejecutar código