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promptflow_tracing_decorator_quickstart_with_openai_calls.py
pythonThis quickstart demonstrates how to use the `@trace` decorator to ins
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promptflow_tracing_decorator_quickstart_with_openai_calls.py
1import openai
2from promptflow.tracing import start_trace, trace
3
4# 1. Start the trace (this will provide a local UI URL to view traces)
5start_trace()
6
7# 2. Use the @trace decorator to instrument your functions
8@trace
9def call_openai(prompt):
10 client = openai.OpenAI()
11 response = client.chat.completions.create(
12 model="gpt-3.5-turbo",
13 messages=[{"role": "user", "content": prompt}]
14 )
15 return response.choices[0].message.content
16
17@trace
18def my_ai_app(question):
19 # Tracing will capture the hierarchy of these calls
20 answer = call_openai(question)
21 return answer
22
23if __name__ == "__main__":
24 # 3. Run your code; the execution details will be captured automatically
25 result = my_ai_app("What is promptflow-tracing?")
26 print(result)