AWS Lambda中Node.js调用GPT-3.5 API报错求助

问题说明 #

尝试实现短信调用GPT-3.5功能时，遇到两类API调用错误：

• 使用最新调用方式openai.chat.completions.create时，报错：

Cannot read properties of undefined (reading 'completions')

• 使用旧版调用方式openai.createCompletion时，报错：

TypeError: openai.createChatCompletion is not a function

已尝试更新openai包、切换新旧调用方式、更换API密钥、执行npm update，在AWS Lambda环境下问题仍未解决。

原代码如下：

const openai = require('openai');

const accountSid = process.env.TWILIO_ACCOUNT_SID;
const authToken = process.env.TWILIO_AUTH_TOKEN;

const client = require('twilio')(accountSid, authToken);

openai.apiKey = process.env.OPENAI_AUTH,

exports.handler = async (event, context) => {
  try {
    const buff = Buffer.from(event.body, "base64");
    const formEncodedParams = buff.toString("utf-8");
    const urlSearchParams = new URLSearchParams(formEncodedParams);

    const body = urlSearchParams.get("Body");
    const from = urlSearchParams.get("From");

    const completion = await openai.chat.completions.create({
      engine: "gpt-3.5-turbo", // GPT-3.5 Turbo
      messages: [
        { role: "system", content: body },
      ],
      max_tokens: 100, // You can adjust this as needed
    });

    await sendMessageBack(completion.data.choices[0].message.content, from);
    return {
      statusCode: 200,
      body: JSON.stringify('Message sent successfully'),
    };
  } catch (error) {
    console.error(error);
    return {
      statusCode: 500,
      body: JSON.stringify('Error sending message'),
    };
  }
};

async function sendMessageBack(msg, to) {
  try {
    await client.messages.create({
      body: msg,
      to: to,
      from: process.env.TWILIO_PHONE_NUM,
    });
    console.log('Message sent:', msg);
  } catch (e) {
    console.error('Error sending message:', e);
  }
}

问题根源 #

OpenAI SDK v4+版本做了重大调整：

• 不再支持通过require('openai')直接调用顶层模块属性，必须实例化客户端对象。
• 原API密钥配置方式openai.apiKey = ...失效，需在实例化时传入。
• API调用参数中engine字段已更名为model，返回结果结构也做了简化（不再嵌套data字段）。

解决步骤 #

1. 安装最新版OpenAI SDK：

npm install openai@latest

2. 使用ES模块导入并正确实例化OpenAI客户端。
3. 修正API调用参数及结果读取路径。

修正后的代码 #

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: process.env.OPENAI_AUTH, 
});

import twilio from 'twilio';

const accountSid = process.env.TWILIO_ACCOUNT_SID;
const authToken = process.env.TWILIO_AUTH_TOKEN;

const client = twilio(accountSid, authToken);

export const handler = async (event, context) => {
  try {
    const buff = Buffer.from(event.body, "base64");
    const formEncodedParams = buff.toString("utf-8");
    const urlSearchParams = new URLSearchParams(formEncodedParams);

    const msgBody = urlSearchParams.get("Body");
    const from = urlSearchParams.get("From");

    const chatCompletion = await openai.chat.completions.create({
      model: "gpt-3.5-turbo",
      messages: [{ role: "system", content: msgBody }],
      max_tokens: 100,
    });

    await sendMessageBack(chatCompletion.choices[0].message.content, from);
    return {
      statusCode: 200,
      body: JSON.stringify('Message sent successfully'),
    };
  } catch (error) {
    console.error(error);
    return {
      statusCode: 500,
      body: JSON.stringify('Error sending message'),
    };
  }
};

async function sendMessageBack(msg, to) {
  try {
    await client.messages.create({
      body: msg,
      to: to,
      from: process.env.TWILIO_PHONE_NUM,
    });
    console.log('Message sent:', msg);
  } catch (e) {
    console.error('Error sending message:', e);
  }
}

内容的提问来源于stack exchange，提问作者Nick Fox