Chat(聊天)

创建聊天完成（非流式）。所有对话模型均可使用此接口，修改 model 参数即可切换模型。

官方指南 · 官方 API 文档

请求参数

messages 消息格式

每条消息是一个对象，包含 role 和 content：

请求示例

cURL

curl https://api000.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxxxxxxxxxxxxxxx" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful assistant."
      },
      {
        "role": "user",
        "content": "介绍一下深度学习的基本原理。"
      }
    ],
    "temperature": 0.7,
    "max_tokens": 1024
  }'

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api000.com/v1",
    api_key="sk-xxxxxxxxxxxxxxxx"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "介绍一下深度学习的基本原理。"}
    ],
    temperature=0.7,
    max_tokens=1024
)

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

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api000.com/v1",
  apiKey: "sk-xxxxxxxxxxxxxxxx",
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "介绍一下深度学习的基本原理。" },
  ],
  temperature: 0.7,
  max_tokens: 1024,
});

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

响应示例

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1677652288,
  "model": "gpt-4o",
  "system_fingerprint": "fp_44709d6fcb",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "深度学习是机器学习的一个子领域，它使用多层神经网络来学习数据的表征..."
      },
      "logprobs": null,
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 28,
    "completion_tokens": 120,
    "total_tokens": 148
  }
}

响应字段说明

finish_reason 枚举

支持的模型

所有对话模型均可使用此接口，修改 model 参数即可：

调用 GET /v1/models 获取完整可用模型列表。