Работа с Responses API OpenAI
James Chapman
AI Curriculum Manager, DataCamp
response = client.responses.create(
model="gpt-5.4-mini",
input="What is recursion?",
reasoning={"effort": "none"},
max_output_tokens=500
)



from pydantic import BaseModel
class QuizResult(BaseModel):
score: int
passed: bool
feedback: str
result = response.output_parsed
print(f"Score: {result.score}/10")
print(f"Passed: {result.passed}")
print(f"Feedback: {result.feedback}")
response = client.responses.parse(
model="gpt-5.4-mini",
instructions="...",
input="...",
text_format=QuizResult
)
stream=True
| Тип события | Описание |
|---|---|
response.created |
Модель начала генерацию |
response.output_text.delta |
Частичное обновление текста |
response.output_text.done |
Текстовый блок завершён |
response.function_call.arguments.delta |
Потоковая передача аргументов инструмента |
response.completed |
Весь ответ сформирован |
- Summary: A mild down day - closed at
277.18, down about 0.26% from the previous
close; after-hours ticked slightly lower to
276.94.

Работа с Responses API OpenAI