代码示例

本页提供常见使用场景的完整代码示例，覆盖 Python、Node.js 和 cURL。

基础对话

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://1688token.ai/v1"
)

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[
        {"role": "system", "content": "你是一个专业的 AI 助手。"},
        {"role": "user", "content": "用一句话解释什么是大语言模型。"}
    ]
)

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

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://1688token.ai/v1"
});

const response = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [
    { role: "system", content: "你是一个专业的 AI 助手。" },
    { role: "user", content: "用一句话解释什么是大语言模型。" }
  ]
});

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

cURL

curl https://1688token.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [
      {"role": "system", "content": "你是一个专业的 AI 助手。"},
      {"role": "user", "content": "用一句话解释什么是大语言模型。"}
    ]
  }'

流式输出

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://1688token.ai/v1"
)

stream = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "写一首关于秋天的短诗"}],
    stream=True
)

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

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://1688token.ai/v1"
});

const stream = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "写一首关于秋天的短诗" }],
  stream: true
});

for await (const chunk of stream) {
  const delta = chunk.choices[0]?.delta?.content;
  if (delta) process.stdout.write(delta);
}

cURL

curl https://1688token.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "写一首关于秋天的短诗"}],
    "stream": true
  }'

多轮对话

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://1688token.ai/v1"
)

messages = [{"role": "system", "content": "你是一个专业的 AI 助手。"}]

# 第一轮
messages.append({"role": "user", "content": "什么是机器学习？"})
response = client.chat.completions.create(model="gpt-4o-mini", messages=messages)
reply = response.choices[0].message.content
messages.append({"role": "assistant", "content": reply})
print("助手:", reply)

# 第二轮
messages.append({"role": "user", "content": "它和深度学习有什么区别？"})
response = client.chat.completions.create(model="gpt-4o-mini", messages=messages)
print("助手:", response.choices[0].message.content)

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://1688token.ai/v1"
});

const messages = [{ role: "system", content: "你是一个专业的 AI 助手。" }];

// 第一轮
messages.push({ role: "user", content: "什么是机器学习？" });
let response = await client.chat.completions.create({ model: "gpt-4o-mini", messages });
const reply = response.choices[0].message.content;
messages.push({ role: "assistant", content: reply });
console.log("助手:", reply);

// 第二轮
messages.push({ role: "user", content: "它和深度学习有什么区别？" });
response = await client.chat.completions.create({ model: "gpt-4o-mini", messages });
console.log("助手:", response.choices[0].message.content);

使用 Claude 模型

Python

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://1688token.ai/v1"
)

response = client.chat.completions.create(
    model="claude-sonnet-4-6",
    messages=[
        {"role": "user", "content": "请帮我写一段 Python 快速排序的代码，并加上注释。"}
    ],
    max_tokens=1024
)

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

Node.js

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "YOUR_API_KEY",
  baseURL: "https://1688token.ai/v1"
});

const response = await client.chat.completions.create({
  model: "claude-sonnet-4-6",
  messages: [
    { role: "user", content: "请帮我写一段 Python 快速排序的代码，并加上注释。" }
  ],
  max_tokens: 1024
});

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