一个统一 BaseURL
调度全部模型资源

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://www.bitvox.cn/v1",
    api_key="mass-sk-...",
)

resp = client.chat.completions.create(
    model="deepseek-chat",  # 换模型只改这行
    messages=[{"role": "user",
               "content": "用一句话解释向量数据库"}],
)
print(resp.choices[0].message.content)

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://www.bitvox.cn/v1",
  apiKey: process.env.MASS_API_KEY,
});

const stream = await client.chat.completions.create({
  model: "qwen-plus",
  messages: [{ role: "user", content: "写一段商品文案" }],
  stream: true,
});

for await (const c of stream)
  process.stdout.write(c.choices[0]?.delta?.content ?? "");

# 非流式
curl https://www.bitvox.cn/v1/chat/completions \
  -H "Authorization: Bearer $MASS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o-mini",
       "messages":[{"role":"user","content":"你好"}]}'

# 流式：加 "stream": true，返回 SSE

# 查余额 / 模型价格
curl https://www.bitvox.cn/v1/balance \
  -H "Authorization: Bearer $MASS_API_KEY"

# 1. 提交视频任务，按「时长 × 分辨率」冻结
curl https://www.bitvox.cn/v1/video/generations \
  -H "Authorization: Bearer $MASS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"doubao-seedance-2-5-my-test",
       "prompt":"雨夜霓虹街头，橘猫缓步走过",
       "duration":5,"resolution":"720p"}'

# 2. 轮询：queued → processing → completed
curl https://www.bitvox.cn/v1/video/generations/vid_xxx \
  -H "Authorization: Bearer $MASS_API_KEY"

# 3. 成品下载（无公开直链时由平台代理）
curl -L .../video/generations/vid_xxx/content -o out.mp4