OpenAI SDK で Claude を呼び出す — 1 行だけ変えて、コードはそのまま

from openai import OpenAI

client = OpenAI(
    api_key="sk-brievio-...",
    base_url="https://api.brievio.com/v1",   # 変更するのはこの 1 行だけ
)

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",              # gpt-4o ではなく Claude のスラッグ
    messages=[
        {"role": "system", "content": "You are a senior platform engineer."},
        {"role": "user",   "content": "Critique this SQL migration..."},
    ],
)
print(resp.choices[0].message.content)

for chunk in client.chat.completions.create(
    model="claude-opus-4-7",
    messages=[{"role": "user", "content": "Explain Raft in 200 words."}],
    stream=True,
):
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get current weather in a city",
            "parameters": {
                "type": "object",
                "properties": {
                    "city": {"type": "string"},
                    "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                },
                "required": ["city"],
            },
        },
    }
]

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
    tool_choice="auto",
)
print(resp.choices[0].message.tool_calls)

resp = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "What's in this image?"},
            {"type": "image_url",
             "image_url": {"url": "https://example.com/cat.jpg"}},
        ],
    }],
)

from anthropic import Anthropic

client = Anthropic(
    api_key="sk-brievio-...",
    base_url="https://api.brievio.com",     # SDK が /v1/messages を付与する
)

resp = client.messages.create(
    model="claude-opus-4-7",
    max_tokens=1024,
    system="You are a senior platform engineer.",
    messages=[{"role": "user", "content": "What is a hot standby?"}],
)
print(resp.content[0].text)