openai.service.js

const fs = require("fs");
const createAssistant = async (openai) => {
  // Assistant file path
  const assistantFilePath = "assistant.json";
  // check if file exists
  if (!fs.existsSync(assistantFilePath)) {
    // Create a file
    const file = await openai.files.create({
      file: fs.createReadStream("Sample.docx"),
      purpose: "assistants",
    });
    // Create a vector store including our file
    let vectorStore = await openai.beta.vectorStores.create({
      name: "Chat Demo",
      file_ids: [file.id],
    });
    // Create assistant
    const assistant = await openai.beta.assistants.create({
      name: "timestone",
      instructions: `You are a chatbot implemented in a website. that provides almost all the details i can share to my classmates, just like one of them and that my involve asking about time table, and asking question papers, and you have to answer, with simple and precise output, just provide simple answer`,
      tools: [{ type: "file_search" }],
      tool_resources: { file_search: { vector_store_ids: [vectorStore.id] } },
      model: "gpt-4o-mini",
    });
    // Write assistant to file
    fs.writeFileSync(assistantFilePath, JSON.stringify(assistant));
    return assistant;
  } else {
    // Read assistant from file
    const assistant = JSON.parse(fs.readFileSync(assistantFilePath));
    return assistant;
  }
};
module.exports = { createAssistant };