盈倍云文档中心

from openai import OpenAI

client = OpenAI(
    base_url="http://114.215.201.147:3001/v1",
    api_key="YOUR_API_KEY",
)

stream = client.chat.completions.create(
    model="GLM-5.2",
    messages=[{"role": "user", "content": "用三点介绍模型聚合平台"}],
    stream=True,
)

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

curl http://114.215.201.147:3001/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "YOUR_VISION_MODEL_ID",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "请概括这张图片的内容"},
        {"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}}
      ]
    }]
  }'

{
  "id": "chatcmpl_xxx",
  "object": "chat.completion",
  "model": "GLM-5.2",
  "choices": [{
    "index": 0,
    "message": {"role": "assistant", "content": "..."},
    "finish_reason": "stop"
  }],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 86,
    "total_tokens": 104
  }
}

import os
from openai import OpenAI

client = OpenAI(
    base_url=os.environ["OPENAI_BASE_URL"],
    api_key=os.environ["OPENAI_API_KEY"],
)

response = client.chat.completions.create(
    model="GLM-5.2",
    messages=[{"role": "user", "content": "你好"}],
)

print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: process.env.OPENAI_BASE_URL,
  apiKey: process.env.OPENAI_API_KEY,
});

const response = await client.chat.completions.create({
  model: "GLM-5.2",
  messages: [{ role: "user", content: "你好" }],
});

console.log(response.choices[0].message.content);