API 文档

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.xsai5.xyz/v1",
    api_key="xsai_sk_…",
)

response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {"role": "user", "content": "你好，介绍一下你自己。"},
    ],
)
print(response.choices[0].message.content)

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Authorization: Bearer xsai_sk_xxxxxxxxxxxxxxxxxxxxxxxx

https://api.xsai5.xyz/v1

models = client.models.list()
for m in models.data:
    print(m.id)

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{
  "object": "list",
  "data": [
    { "id": "gpt-5",            "object": "model", "owned_by": "openai" },
    { "id": "claude-3.5-sonnet","object": "model", "owned_by": "anthropic" }
  ]
}

response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {"role": "system", "content": "你是个资深的 Python 工程师。"},
        {"role": "user",   "content": "用 Python 写一个快速排序。"},
    ],
    temperature=0.7,
    max_tokens=1000,
)
print(response.choices[0].message.content)

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{
  "id": "chatcmpl-xxxx",
  "object": "chat.completion",
  "model": "gpt-5",
  "choices": [
    {
      "index": 0,
      "message": { "role": "assistant", "content": "..." },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 32,
    "completion_tokens": 240,
    "total_tokens": 272
  }
}

response = client.images.generate(
    model="gpt-image-1",
    prompt="A cat playing piano in space, watercolor style",
    size="1024x1024",
    n=1,
)
print(response.data[0].url)

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curl https://api.xsai5.xyz/v1/images/generations \
  -H "Authorization: Bearer xsai_sk_…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "一只戴墨镜的柴犬，纯净主体，无背景",
    "background": "transparent",
    "output_format": "png"
  }'

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curl https://api.xsai5.xyz/v1/videos/capabilities \
  -H "Authorization: Bearer xsai_sk_…"

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curl https://api.xsai5.xyz/v1/videos \
  -H "Authorization: Bearer xsai_sk_…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2.0",
    "prompt": "清晨山谷薄雾流动，阳光穿透林间，镜头平稳前推",
    "seconds": 4,
    "aspect_ratio": "16:9"
  }'

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# 1) 上传参考图
curl https://api.xsai5.xyz/v1/files \
  -H "Authorization: Bearer xsai_sk_…" \
  -F purpose=user_data -F file=@first.png

# 2) 引用它（images 是参考图；首尾帧走 first_image_url / last_image_url）
curl https://api.xsai5.xyz/v1/videos \
  -H "Authorization: Bearer xsai_sk_…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "seedance-2.0",
    "prompt": "以参考图为起点，镜头缓缓拉远",
    "seconds": 4,
    "images": ["file_nexai_…"]
  }'

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stream = client.chat.completions.create(
    model="gpt-5",
    messages=[{"role": "user", "content": "讲一个简短的故事"}],
    stream=True,
)
for chunk in stream:
    delta = chunk.choices[0].delta.content or ""
    print(delta, end="", flush=True)

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tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "查询某城市的当前天气",
        "parameters": {
            "type": "object",
            "properties": {
                "city": {"type": "string", "description": "城市名"}
            },
            "required": ["city"]
        }
    }
}]

response = client.chat.completions.create(
    model="gpt-5",
    messages=[{"role": "user", "content": "北京今天天气怎么样？"}],
    tools=tools,
    tool_choice="auto",
)
tool_call = response.choices[0].message.tool_calls[0]
print(tool_call.function.name, tool_call.function.arguments)

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response = client.chat.completions.create(
    model="gpt-5",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "这张图里有什么？"},
            {"type": "image_url", "image_url": {
                "url": "https://example.com/photo.jpg"
            }}
        ]
    }],
)
print(response.choices[0].message.content)

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{
  "error": {
    "message": "API 密钥已过期",
    "type": "authentication_error",
    "code": "key_expired"
  }
}