Adding guardrails
One of the most popular uses of system messages is to add guardrails, which places restrictions on model outputs.
In this exercise, you'll place a restriction on model outputs preventing learning plans not related to languages, as your system is beginning to find its niche in that space. You'll design a custom message for users requesting these type of learning plans so they understand this change.
Diese Übung ist Teil des Kurses
Working with DeepSeek in Python
Anleitung zur Übung
- Complete the chat request, providing the system message in
sys_msgand test a user message containing a non-language-related skill, such as rollerskating.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
client = OpenAI(api_key="", base_url="https://api.together.xyz/v1")
sys_msg = """You are a study planning assistant that creates plans for learning new skills, returning only the structured plan.
If these skills are non related to languages, return only the message:
'Apologies, to focus on languages, we no longer create learning plans on other topics.'
"""
# Create a request to the chat model
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-V3",
messages=[
{"role": "____", "content": ____},
{"role": "user", "content": "Help me learn to ____."}
]
)
print(response.choices[0].message.content)