client.responses.create(
    model: str,
    input: Union[str, ResponseInputParam] = None,
    instructions: Optional[str] = None,
    stream: Optional[bool] = False,
    # ... additional parameters
) -> Response

from openai import OpenAI

client = OpenAI()

response = client.responses.create(
    model="gpt-5.2",
    instructions="You are a coding assistant that talks like a pirate.",
    input="How do I check if a Python object is an instance of a class?",
)

print(response.output_text)

from openai import OpenAI

client = OpenAI()

prompt = "What is in this image?"
img_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/d5/2023_06_08_Raccoon1.jpg/1599px-2023_06_08_Raccoon1.jpg"

response = client.responses.create(
    model="gpt-5.2",
    input=[
        {
            "role": "user",
            "content": [
                {"type": "input_text", "text": prompt},
                {"type": "input_image", "image_url": f"{img_url}"},
            ],
        }
    ],
)

print(response.output_text)

import base64
from openai import OpenAI

client = OpenAI()

prompt = "What is in this image?"
with open("path/to/image.png", "rb") as image_file:
    b64_image = base64.b64encode(image_file.read()).decode("utf-8")

response = client.responses.create(
    model="gpt-5.2",
    input=[
        {
            "role": "user",
            "content": [
                {"type": "input_text", "text": prompt},
                {"type": "input_image", "image_url": f"data:image/png;base64,{b64_image}"},
            ],
        }
    ],
)

print(response.output_text)

import asyncio
from openai import AsyncOpenAI

client = AsyncOpenAI()

async def main() -> None:
    response = await client.responses.create(
        model="gpt-5.2",
        input="Explain disestablishmentarianism to a smart five year old."
    )
    print(response.output_text)

asyncio.run(main())