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我希望你能帮助我解决这个问题.我正在测试聊天GPT API，与支付选项.这里是我的机器人回来的代码.前面是正确的工作：这是在节点与llamaindex包在节点我运行的代码

export OPENAI_API_KEY=sk-etc && node bot.js

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聊天gpt API返回给我：您超过了当前配额，请检查您的计划和账单详细信息。
我在chat GPT上只花了0.01美元。

const express = require('express');
const app = express();
const http = require('http');
const server = http.createServer(app);
const { Server } = require("socket.io");
const { join } = require('node:path');
const fs = require("fs/promises");
const { MetadataMode, IndexDict,Document, VectorStoreIndex, TextNode,OpenAI,serviceContextFromDefaults, getNodesFromDocument , RetrieverQueryEngine, SentenceSplitter} = require("llamaindex");

app.get('/', (req, res) => {
    res.sendFile(join(__dirname, 'index.html'));
});

async function init() {

    const essay = await fs.readFile(
        "cv.txt",
        "utf-8",
    );

// Create Document object with essay
    const document = new Document({text: essay});

    const nodes = getNodesFromDocument(
        new Document({text: essay}),
        new SentenceSplitter({chunkSize: 1024, chunkOverlap: 20}),
    );

    const nodesWithEmbeddings = await VectorStoreIndex.getNodeEmbeddingResults(
        nodes,
        serviceContextFromDefaults(),
        true,
    );

    const _nodesWithEmbedding = nodesWithEmbeddings.map((nodeWithEmbedding) => ({
        text: nodeWithEmbedding.getContent(MetadataMode.NONE),
        embedding: nodeWithEmbedding.getEmbedding(),
    }))

    const embeddingResults = _nodesWithEmbedding.map((config) => {
        return new TextNode({text: config.text, embedding: config.embedding});
    });

    const indexDict = new IndexDict();
    for (const node of embeddingResults) {
        indexDict.addNode(node);
    }

    // Split text and create embeddings. Store them in a VectorStoreIndex
    const index = await VectorStoreIndex.init({
        indexStruct: indexDict,
        serviceContext: serviceContextFromDefaults({
            llm: new OpenAI({
                model: "gpt-4",
                temperature: 0.5,
                topP: 0.8,
            }),
        }),
    });

    await index.vectorStore.add(embeddingResults);
    if (!index.vectorStore.storesText) {
        await index.docStore.addDocuments(embeddingResults, true);
    }
    await index.indexStore?.addIndexStruct(indexDict);
    index.indexStruct = indexDict;

    const retriever = index.asRetriever();
    retriever.similarityTopK = 20 ?? 2;

    const queryEngine = new RetrieverQueryEngine(retriever);

    const io = new Server(server, {
        cors: {
            origin: "*",
            methods: ["GET", "POST"],
            //allowedHeaders: ["my-custom-header"],
            //credentials: true
        },
        path: '/'
    });


    io.on('connection', async (socket) => {

        // Query the index
        // queryEngine = index.asQueryEngine();
        socket.on('userMessage', async (msg) => {
            const response = await queryEngine.query(msg);
            io.emit('botMessage', response.toString());
        });
    });

    server.listen(3000, () => {
        console.log('listening on *:3000');
    });

}
init();

型
希望有人能帮助我！