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Specifying a DeepSeek model

OpenAI offers multiple models for different use cases. In this exercise, you'll specify the model and define the role to structure your API requests.

The OpenAI class has already been imported for you from the openai library.

Cet exercice fait partie du cours

<cours>Working with DeepSeek in Python</cours>
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Instructions de l’exercice

  • Specify the deepseek-ai/DeepSeek-V4-Pro model.
  • Assign the correct role in the messages list.

Exercice interactif pratique

Essayez cet exercice en complétant ce code d’exemple.

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

response = client.chat.completions.create(
    # Specify the model
    model="____",
    max_tokens=400,
    messages=[
        # Assign the correct role
        {"role": "____", 
         "content": "Write a post to announce my new AI Engineer role on LinkedIn. Only output the post."}]
)

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