Query a Foundation Model
Let's use what we learned about the difference between "SYSTEM" and "USER" Chat Message Roles to send different prompts to the AI agent based on the Chat Message role.
Diese Übung ist Teil des Kurses
Databricks with the Python SDK
Anleitung zur Übung
- Tell the AI Agent to act like a high school computer science teacher when answering queries using the prompt
ai_agent_context. - Ask the AI agent when to use For loops using the
user_prompt.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
from databricks.sdk import WorkspaceClient
from databricks.sdk.service.serving import ChatMessage, ChatMessageRole
w = WorkspaceClient()
user_prompt = "What is a For loop and When should I use it?"
ai_agent_context = "You are a high school computer science teacher"
response = w.serving_endpoints.query(
name="databricks-meta-llama-3-3-70b-instruct",
messages=[
ChatMessage( # Tell the AI Agent to act like a high school computer science teacher when answering queries
role=ChatMessageRole.SYSTEM, content=____
),
ChatMessage( # Ask the AI agent when to use For loops
role=ChatMessageRole.USER, content=____
),
],
max_tokens=250)
print(f"RESPONSE:\n{response.choices[0].message.content}")