|
| 1 | +import os |
| 2 | +import random |
| 3 | +from typing import Tuple |
| 4 | + |
| 5 | +from openai import OpenAI |
| 6 | + |
| 7 | +from parea import trace, trace_insert, Parea, get_current_trace_id |
| 8 | +from parea.schemas import FeedbackRequest |
| 9 | + |
| 10 | +client = OpenAI() |
| 11 | +# instantiate Parea client |
| 12 | +p = Parea(api_key=os.getenv('PAREA_API_KEY')) |
| 13 | +# wrap OpenAI client to trace calls |
| 14 | +p.wrap_openai_client(client) |
| 15 | + |
| 16 | + |
| 17 | +@trace |
| 18 | +def generate_email(user: str) -> Tuple[str, str]: |
| 19 | + """Randomly chooses a prompt to perform an A/B test for generating email. Returns the email and the trace ID. |
| 20 | + The latter is used to tie-back the collected feedback from the user.""" |
| 21 | + if random.random() < 0.5: |
| 22 | + trace_insert({'metadata': {'variant_name': 'variant_0'}}) |
| 23 | + prompt = f'Generate a long email for {user}' |
| 24 | + else: |
| 25 | + trace_insert({'metadata': {'variant_name': 'variant_1'}}) |
| 26 | + prompt = f'Generate a short email for {user}' |
| 27 | + |
| 28 | + email = client.chat.completions.create( |
| 29 | + model="gpt-4o", |
| 30 | + messages=[ |
| 31 | + { |
| 32 | + "role": "user", |
| 33 | + "content": prompt, |
| 34 | + } |
| 35 | + ], |
| 36 | + ).choices[0].message.content |
| 37 | + |
| 38 | + return email, get_current_trace_id() |
| 39 | + |
| 40 | + |
| 41 | +def main(): |
| 42 | + # generate email and get trace ID |
| 43 | + email, trace_id = generate_email('Max Mustermann') |
| 44 | + |
| 45 | + # log user feedback on email using trace ID |
| 46 | + p.record_feedback( |
| 47 | + FeedbackRequest( |
| 48 | + trace_id=trace_id, |
| 49 | + score=1.0, |
| 50 | + ) |
| 51 | + ) |
| 52 | + |
| 53 | + |
| 54 | +if __name__ == '__main__': |
| 55 | + main() |
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