OpenAI Responses API

https://api.langdock.com/openai/{region}/v1/responses

from openai import OpenAI

client = OpenAI(
    base_url="https://api.langdock.com/openai/eu/v1",
    api_key="<YOUR_LANGDOCK_API_KEY>",
)

response = client.responses.create(
    model="gpt-5-mini",
    input="Schreibe ein kurzes Gedicht über Katzen.",
    store=False,
)

print(response.output_text)

stream = client.responses.create(
    model="gpt-5-mini",
    input="Schreibe ein kurzes Gedicht über Katzen.",
    store=False,
    stream=True,
)

for event in stream:
    if event.type == "response.output_text.delta":
        print(event.delta, end="")

import json

conversation = [
    {"role": "user", "content": "Wie ist das Wetter in Berlin?"}
]
tools = [{
    "type": "function",
    "name": "lookup_weather",
    "description": "Ruft das aktuelle Wetter für eine Stadt ab.",
    "parameters": {
        "type": "object",
        "properties": {"city": {"type": "string"}},
        "required": ["city"],
        "additionalProperties": False,
    },
}]

response = client.responses.create(
    model="gpt-5-mini",
    input=conversation,
    tools=tools,
    store=False,
)

conversation.extend(response.output)
tool_call = next(item for item in response.output if item.type == "function_call")
conversation.append({
    "type": "function_call_output",
    "call_id": tool_call.call_id,
    "output": json.dumps({"temperature_c": 18, "condition": "sonnig"}),
})

final_response = client.responses.create(
    model="gpt-5-mini",
    input=conversation,
    tools=tools,
    store=False,
)

print(final_response.output_text)