openai/openai-python
Publicmirrored fromhttps://github.com/openai/openai-pythonAvailable
examples/responses/structured_outputs.py
55lines · modecode
| 1 | from typing import List |
| 2 | |
| 3 | import rich |
| 4 | from pydantic import BaseModel |
| 5 | |
| 6 | from openai import OpenAI |
| 7 | |
| 8 | |
| 9 | class Step(BaseModel): |
| 10 | explanation: str |
| 11 | output: str |
| 12 | |
| 13 | |
| 14 | class MathResponse(BaseModel): |
| 15 | steps: List[Step] |
| 16 | final_answer: str |
| 17 | |
| 18 | |
| 19 | client = OpenAI() |
| 20 | |
| 21 | rsp = client.responses.parse( |
| 22 | input="solve 8x + 31 = 2", |
| 23 | model="gpt-4o-2024-08-06", |
| 24 | text_format=MathResponse, |
| 25 | ) |
| 26 | |
| 27 | for output in rsp.output: |
| 28 | if output.type != "message": |
| 29 | raise Exception("Unexpected non message") |
| 30 | |
| 31 | for item in output.content: |
| 32 | if item.type != "output_text": |
| 33 | raise Exception("unexpected output type") |
| 34 | |
| 35 | if not item.parsed: |
| 36 | raise Exception("Could not parse response") |
| 37 | |
| 38 | rich.print(item.parsed) |
| 39 | |
| 40 | print("answer: ", item.parsed.final_answer) |
| 41 | |
| 42 | # or |
| 43 | |
| 44 | message = rsp.output[0] |
| 45 | assert message.type == "message" |
| 46 | |
| 47 | text = message.content[0] |
| 48 | assert text.type == "output_text" |
| 49 | |
| 50 | if not text.parsed: |
| 51 | raise Exception("Could not parse response") |
| 52 | |
| 53 | rich.print(text.parsed) |
| 54 | |
| 55 | print("answer: ", text.parsed.final_answer) |
| 56 | |