使用 OpenAI Responses API
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
| 事件类型 | 说明 |
|---|---|
response.created |
模型开始生成 |
response.output_text.delta |
文本增量更新 |
response.output_text.done |
文本块完成 |
response.function_call.arguments.delta |
工具参数流式更新 |
response.completed |
整个响应完成 |
- 摘要:小幅下跌——收于
277.18,较前一日收盘下跌约0.26%;
盘后略降至276.94。

使用 OpenAI Responses API