让灵感，浮现。

curl https://0809.fuhuagoogle.top/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "glm-5.1",
    "messages": [
      {
        "role": "system",
        "content": "你是一个简洁准确的开发助手。"
      },
      {
        "role": "user",
        "content": "请用三句话介绍统一模型网关在项目接入中的作用。"
      }
    ],
    "stream": true
  }'

from openai import OpenAI

# 示例请求：请将 YOUR_API_KEY 替换为对应模型分组的密钥
# model 可替换为该分组下当前可用的模型名称
client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://0809.fuhuagoogle.top/v1",
)

stream = client.chat.completions.create(
    model="glm-5.1",
    messages=[
        {"role": "system", "content": "你是一个简洁准确的开发助手。"},
        {"role": "user", "content": "请用三句话介绍统一模型网关在项目接入中的作用。"},
    ],
    stream=True,
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)

// Node.js 18+ 示例请求：请将 YOUR_API_KEY 替换为对应分组的密钥
const response = await fetch("https://0809.fuhuagoogle.top/v1/chat/completions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY"
  },
  body: JSON.stringify({
    model: "glm-5.1",
    messages: [
      { role: "system", content: "你是一个简洁准确的开发助手。" },
      { role: "user", content: "请用三句话介绍统一模型网关在项目接入中的作用。" }
    ],
    stream: true
  })
});

if (!response.ok || !response.body) {
  throw new Error(`HTTP ${response.status}: ${await response.text()}`);
}

const reader = response.body.getReader();
const decoder = new TextDecoder("utf-8");
while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  process.stdout.write(decoder.decode(value, { stream: true }));
}