Responses API

from openai import OpenAI

client = OpenAI(base_url="https://gisoo.pro/api/v1", api_key="sk-gisoo-v1-...")

response = client.responses.create(
    model="gpt-4.1-mini",
    instructions="Answer in Persian.",
    input="Explain the difference between RAM and storage in three short lines.",
)
print(response.output_text)

const response = await client.responses.create({
  model: "gpt-4.1-mini",
  instructions: "Answer in Persian.",
  input: "Explain the difference between RAM and storage in three short lines.",
});
console.log(response.output_text);

curl https://gisoo.pro/api/v1/responses \
  -H "Authorization: Bearer $GISOO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4.1-mini",
    "input": "What is the latest stable version of Laravel? Cite the source.",
    "tools": [{"type": "web_search"}]
  }'

response = client.responses.create(
    model="gpt-4.1-mini",
    input="What is the latest stable version of Laravel? Cite the source.",
    tools=[{"type": "web_search"}],
)
print(response.output_text)

# Sources the model used are in the output items (annotations of type url_citation).
for item in response.output:
    if item.type == "message":
        for part in item.content:
            for ann in getattr(part, "annotations", []) or []:
                print(ann.url)

tools = [{
    "type": "function",
    "name": "get_weather",
    "description": "Current weather for a city",
    "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]},
}]

response = client.responses.create(model="gpt-4.1-mini", input="Weather in Isfahan?", tools=tools)
for item in response.output:
    if item.type == "function_call":
        print(item.name, item.arguments, item.call_id)

stream = client.responses.create(model="gpt-4.1-mini", input="Write a short product description for a desk lamp.", stream=True)
for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta, end="", flush=True)