Congratulations!

Working with the OpenAI Responses API

James Chapman

AI Curriculum Manager, DataCamp

Chapter 1: Welcome to the Responses API

response = client.responses.create(
    model="gpt-5-mini",
    input="What is recursion?",
    reasoning={"effort": "minimal"},
    max_output_tokens=500
)

Chapter 2: Web Search

Chapter 2: Function-Calling Tools

Chapter 3: Structured Outputs

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-mini",
    instructions="...",
    input="...",
    text_format=QuizResult
)

Chapter 3: Streaming and Semantic Events

stream=True

Event Type	Description
`response.created`	The model has started generating
`response.output_text.delta`	Partial text update
`response.output_text.done`	Text block complete
`response.function_call.arguments.delta`	Streaming tool arguments
`response.completed`	The entire response is finished

Chapter 3: Multimodality

- 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.

¹ Apple, Inc. Stock Plot from yahoo!finance

Let's practice!

Working with the OpenAI Responses API