Responses

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["HEIHUZI_API_KEY"],
    base_url="https://code.heihuzi.ai/v1",
    timeout=600.0,
    max_retries=0,
)

completed = False
with client.responses.create(
    model="gpt-5.5",
    input=[{"role": "user", "content": "Reply with exactly API_OK."}],
    stream=True,
) as events:
    for event in events:
        if event.type == "response.output_text.delta":
            print(event.delta, end="", flush=True)
        elif event.type == "response.failed":
            error = event.response.error
            if error:
                raise RuntimeError(f"Response failed: {error.code}: {error.message}")
            raise RuntimeError("Response failed")
        elif event.type == "response.completed":
            completed = True
print()
if not completed:
    raise RuntimeError("Stream ended without response.completed")

import base64
from pathlib import Path
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["HEIHUZI_API_KEY"],
    base_url="https://code.heihuzi.ai/v1",
    timeout=600.0,
    max_retries=0,
)

encoded = base64.b64encode(Path("reference.png").read_bytes()).decode("ascii")
response = client.responses.create(
    model="gpt-5.5",
    input=[{
        "role": "user",
        "content": [
            {"type": "input_text", "text": "What is the color of the cup in this image? Answer with the color only."},
            {"type": "input_image", "image_url": f"data:image/png;base64,{encoded}"},
        ],
    }],
)
print(response.output_text)

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["HEIHUZI_API_KEY"],
    base_url="https://code.heihuzi.ai/v1",
    timeout=600.0,
    max_retries=0,
)

history = [{
    "role": "user",
    "content": "Remember the project code BLUE_CUP_29 for this conversation. Reply exactly READY.",
}]
first = client.responses.create(model="gpt-5.5", input=history)
print(first.output_text)

history.extend(item.model_dump() for item in first.output)
history.append({"role": "user", "content": "What is the project code? Reply with the code only."})
second = client.responses.create(model="gpt-5.5", input=history)
print(second.output_text)

import json
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["HEIHUZI_API_KEY"],
    base_url="https://code.heihuzi.ai/v1",
    timeout=600.0,
    max_retries=0,
)
inputs = [{"role": "user", "content": "Use add to calculate 2 plus 3, then answer with the number only."}]
response = client.responses.create(
    model="gpt-5.5",
    input=inputs,
    tools=[{
        "type": "function",
        "name": "add",
        "description": "Add two numbers.",
        "parameters": {
            "type": "object",
            "properties": {"a": {"type": "number"}, "b": {"type": "number"}},
            "required": ["a", "b"],
            "additionalProperties": False,
        },
        "strict": True,
    }],
    tool_choice={"type": "function", "name": "add"},
)
calls = [item for item in response.output if item.type == "function_call"]
if len(calls) != 1 or calls[0].name != "add":
    raise RuntimeError("Expected one add call")
call = calls[0]
args = json.loads(call.arguments)
value = args["a"] + args["b"]
inputs.extend(item.model_dump() for item in response.output)
inputs.append({"type": "function_call_output", "call_id": call.call_id, "output": str(value)})
final = client.responses.create(model="gpt-5.5", input=inputs)
print(final.output_text)