OpenAI 兼容 API 完全指南

import requests

def chat(endpoint, model, message):
    return requests.post(
        f"https://api.acedata.cloud{endpoint}",
        headers={
            "Authorization": "Bearer YOUR_API_TOKEN",
            "Content-Type": "application/json",
        },
        json={
            "model": model,
            "messages": [{"role": "user", "content": message}],
            "max_tokens": 1024,
            "temperature": 0.7,
        },
    ).json()

# 调用不同模型 - 只需改端点和模型名
claude = chat("/v1/chat/completions", "claude-sonnet-4-6", "你好")
gpt = chat("/openai/chat/completions", "gpt-4o", "你好")
gemini = chat("/gemini/chat/completions", "gemini-2.5-flash", "你好")
deepseek = chat("/deepseek/chat/completions", "deepseek-r1", "你好")

data = {
    "model": "claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "写一首诗"}],
    "stream": True,
}

response = requests.post(
    "https://api.acedata.cloud/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_TOKEN"},
    json=data,
    stream=True,
)

for line in response.iter_lines():
    if line:
        print(line.decode())

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_TOKEN",
    base_url="https://api.acedata.cloud/v1",  # Claude
    # base_url="https://api.acedata.cloud/openai",  # OpenAI
    # base_url="https://api.acedata.cloud/gemini",  # Gemini
)

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[{"role": "user", "content": "你好"}],
)
print(response.choices[0].message.content)