Node.js ES Modules中openai导入异常及误导性错误排查

import { Configuration, OpenAIApi } from 'openai';

SyntaxError: The requested module 'openai' does not provide an export named 'Configuration'

# Chat.coffee

import dotenv from 'dotenv'
import {Configuration, OpenAIApi} from 'openai'

dotenv.config()

openai = new OpenAIApi(new Configuration({
    apiKey: process.env.API_KEY
    }))

LOG = (str) =>
    console.log str

export class Chat

    constructor: (hOptions={}) ->
        @setOptions(hOptions)
        @lChat = [] # 初始化实例属性 lChat

    setOptions: (hOptions) ->
        @echo = hOptions.echo
        @model = hOptions.model || 'gpt-3.5-turbo'
        @temp = hOptions.temperature || 0.6
        return

    say: (str) ->
        if @echo
            LOG "Q: #{str}"

        @lChat.push {
            role: 'user'
            content: str
            }

        resp = await openai.createChatCompletion({
            model: @model
            messages: lChat # 错误所在：此处应为 @lChat
            temperature: @temp
            })
        {role, content} = resp.data.choices[0].message

        if @echo
            LOG "A: #{content}"

        @lChat.push {role, content}
        return content

# Chat.coffee (部分修正)

# ... (其他代码不变)

    say: (str) ->
        # ... (其他代码不变)

        resp = await openai.createChatCompletion({
            model: @model
            messages: @lChat # 修正：正确访问实例属性
            temperature: @temp
            })
        # ... (其他代码不变)

# index.coffee

import {Chat} from './Chat.js' # 导入编译后的JS文件

chat = new Chat({"echo": true})

# 使用 await 调用 Chat 实例的方法，确保在 async 上下文中使用
# 在 Node.js ES Modules 中，顶层 await 是支持的 (Node.js 14.8+)。
await chat.say("Suggest a name for a large black cat")
await chat.say("What if the cat were small and white?")

# Chat.coffee

import dotenv from 'dotenv'
import {Configuration, OpenAIApi} from 'openai'

dotenv.config() # 从 .env 文件加载环境变量

# 初始化 OpenAI API 客户端
openai = new OpenAIApi(new Configuration({
    apiKey: process.env.API_KEY
    }))

# 辅助函数，用于日志输出
LOG = (str) =>
    console.log str

# ---------------------------------------------------------------------------

export class Chat # 导出 Chat 类

    constructor: (hOptions={}) ->
        # 构造函数，初始化聊天实例
        @setOptions(hOptions)
        @lChat = [] # 用于存储聊天历史的数组，以 @lChat 形式访问

    # ..........................................................

    setOptions: (hOptions) ->
        # 设置聊天选项
        @echo = hOptions.echo # 是否打印聊天内容到控制台
        @model = hOptions.model || 'gpt-3.5-turbo' # 使用的 ChatGPT 模型
        @temp = hOptions.temperature || 0.6 # 温度参数
        return

    # ..........................................................

    say: (str) ->
        # 发送消息并获取 ChatGPT 响应
        if @echo
            LOG "Q: #{str}"

        # 将用户消息添加到聊天历史
        @lChat.push {
            role: 'user'
            content: str
            }

        # 调用 OpenAI API 创建聊天完成
        resp = await openai.createChatCompletion({
            model: @model
            messages: @lChat # 关键修正：确保访问实例属性 @lChat
            temperature: @temp
            })

        # 从响应中提取角色和内容
        {role, content} = resp.data.choices[0].message

        if @echo
            LOG "A: #{content}"

        # 将 AI 响应添加到聊天历史
        @lChat.push {role, content}
        return content # 返回 AI 响应内容