https://yun.nmgshenghang.cn/v1

curl https://yun.nmgshenghang.cn/v1/chat/completions \
  -H "Authorization: Bearer $SHSL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.3",
    "messages": [{"role": "user", "content": "你好"}]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk-shsl-...",
    base_url="https://yun.nmgshenghang.cn/v1"
)

r = client.chat.completions.create(
    model="glm-5.3",
    messages=[{"role": "user", "content": "你好"}]
)
print(r.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-shsl-...",
  baseURL: "https://yun.nmgshenghang.cn/v1"
});

const r = await client.chat.completions.create({
  model: "glm-5.3",
  messages: [{ role: "user", content: "你好" }]
});
console.log(r.choices[0].message.content);

Authorization: Bearer sk-shsl-xxxxxxxxxxxxxxxx

glm-5.3            → 通道一
glm-5.3-oc         → 通道二（如已开通）

能力完全相同，价格可能不同。切换只改 model，Key 不变。

{
  "model": "glm-5.3",
  "messages": [
    {"role": "system", "content": "你是一个简洁的助手"},
    {"role": "user",   "content": "你好"}
  ],
  "temperature": 0.7,
  "max_tokens": 1024,
  "stream": false
}

{
  "id": "req-6e8e665f265c1ad5779c0271",
  "object": "chat.completion",
  "model": "glm-5.3",
  "choices": [{
    "index": 0,
    "message": {"role": "assistant", "content": "你好！有什么可以帮你？"},
    "finish_reason": "stop"
  }],
  "usage": {"prompt_tokens": 18, "completion_tokens": 12, "total_tokens": 30}
}

stream = client.chat.completions.create(
    model="glm-5.3",
    messages=[{"role": "user", "content": "写一段 200 字的介绍"}],
    stream=True
)
for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "glm-5.3",
  "messages": [{"role": "user", "content": "北京今天天气怎么样"}],
  "tools": [{
    "type": "function",
    "function": {
      "name": "get_weather",
      "description": "查询城市天气",
      "parameters": {
        "type": "object",
        "properties": {"city": {"type": "string"}},
        "required": ["city"]
      }
    }
  }]
}

{
  "model": "deepseek-v4.1-flash",
  "messages": [{
    "role": "user",
    "content": [
      {"type": "text", "text": "这张图里有什么"},
      {"type": "image_url", "image_url": {"url": "https://example.com/a.jpg"}}
    ]
  }]
}

{"model": "bge-m3", "input": ["第一段文本", "第二段文本"]}

→ {"data": [{"index": 0, "embedding": [0.013, -0.024, ...]}, ...],
   "usage": {"prompt_tokens": 12, "total_tokens": 12}}

{
  "model": "qwen-image-3.0",
  "prompt": "一只橘猫坐在窗台上，午后阳光",
  "n": 1,
  "size": "1024x1024"
}

→ {
  "created": 1792635822,
  "data": [{"url": "https://dashscope-....png"}],
  "usage": {"images": 1, "cost_cents": 18, "cost_yuan": 0.18}
}

{
  "model": "minimax-h3-max",
  "prompt": "海边的日落，慢镜头",
  "duration": 6,
  "ratio": "16:9",
  "resolution": "768P"
}

→ {"id":"455001208295701","status":"queued","poll_url":"/v1/videos/455001208295701","usage":{"seconds":6,"cost_yuan":3}}

GET /v1/videos/455001208295701
Authorization: Bearer $SHSL_API_KEY

→ {"id":"455001208295701","status":"succeeded","video_url":"https://..."}

{
  "model": "cosyvoice-v3.5-flash",
  "input": "你好，这是一段测试语音",
  "voice": "<音色ID>",
  "response_format": "mp3",
  "speed": 1.0
}

→ {"url": "https://...mp3", "chars": 12, "usage": {"characters": 12, "cost_yuan": 0.001}}

GET /v1/models      # 当前可调用的模型（含价格、上下文、能力）
GET /v1/me          # 我的余额与额度

{"error": {"message": "模型不存在或已下线: xxx", "type": "model_not_found", "code": "model_not_found"}}

请先读取 https://yun.nmgshenghang.cn/llms.txt 这份接口文档，
然后帮我用 Python 写一个封装类：
支持流式输出、工具调用、失败自动重试
（502 时换同模型的其他供应商，429 时指数退避）。
不要用占位符，给出可以直接运行的完整代码。