mirror of
https://github.com/danny-avila/LibreChat.git
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* refactor: Agent CodeFiles, abortUpload WIP * feat: code environment file upload * refactor: useLazyEffect * refactor: - Add `watch` from `useFormContext` to check if code execution is enabled - Disable file upload button if `agent_id` is not selected or code execution is disabled * WIP: primeCodeFiles; refactor: rename sessionId to session_id for uniformity * Refactor: Rename session_id to sessionId for uniformity in AuthService.js * chore: bump @librechat/agents to version 1.7.1 * WIP: prime code files * refactor: Update code env file upload method to use read stream * feat: reupload code env file if no longer active * refactor: isAssistantTool -> isEntityTool + address type issues * feat: execute code tool hook * refactor: Rename isPluginAuthenticated to checkPluginAuth in PluginController.js * refactor: Update PluginController.js to use AuthType constant for comparison * feat: verify tool authentication (execute_code) * feat: enter librechat_code_api_key * refactor: Remove unused imports in BookmarkForm.tsx * feat: authenticate code tool * refactor: Update Action.tsx to conditionally render the key and revoke key buttons * refactor(Code/Action): prevent uncheck-able 'Run Code' capability when key is revoked * refactor(Code/Action): Update Action.tsx to conditionally render the key and revoke key buttons * fix: agent file upload edge cases * chore: bump @librechat/agents * fix: custom endpoint providerValue icon * feat: ollama meta modal token values + context * feat: ollama agents * refactor: Update token models for Ollama models * chore: Comment out CodeForm * refactor: Update token models for Ollama and Meta models
81 lines
2.7 KiB
JavaScript
81 lines
2.7 KiB
JavaScript
const fs = require('fs');
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const { FilePurpose } = require('librechat-data-provider');
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const { sleep } = require('~/server/utils');
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const { logger } = require('~/config');
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/**
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* Uploads a file that can be used across various OpenAI services.
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*
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* @param {Object} params - The params object.
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* @param {ServerRequest} params.req - The request object from Express. It should have a `user` property with an `id`
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* representing the user, and an `app.locals.paths` object with an `imageOutput` path.
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* @param {Express.Multer.File} params.file - The file uploaded to the server via multer.
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* @param {OpenAIClient} params.openai - The initialized OpenAI client.
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* @returns {Promise<OpenAIFile>}
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*/
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async function uploadOpenAIFile({ req, file, openai }) {
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const { height, width } = req.body;
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const isImage = height && width;
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const uploadedFile = await openai.files.create({
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file: fs.createReadStream(file.path),
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purpose: isImage ? FilePurpose.Vision : FilePurpose.Assistants,
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});
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logger.debug(
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`[uploadOpenAIFile] User ${req.user.id} successfully uploaded file to OpenAI`,
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uploadedFile,
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);
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if (uploadedFile.status !== 'processed') {
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const sleepTime = 2500;
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logger.debug(
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`[uploadOpenAIFile] File ${
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uploadedFile.id
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} is not yet processed. Waiting for it to be processed (${sleepTime / 1000}s)...`,
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);
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await sleep(sleepTime);
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}
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return isImage ? { ...uploadedFile, height, width } : uploadedFile;
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}
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/**
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* Deletes a file previously uploaded to OpenAI.
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*
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* @param {ServerRequest} req - The request object from Express.
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* @param {MongoFile} file - The database representation of the uploaded file.
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* @param {OpenAI} openai - The initialized OpenAI client.
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* @returns {Promise<void>}
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*/
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async function deleteOpenAIFile(req, file, openai) {
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try {
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const res = await openai.files.del(file.file_id);
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if (!res.deleted) {
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throw new Error('OpenAI returned `false` for deleted status');
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}
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logger.debug(
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`[deleteOpenAIFile] User ${req.user.id} successfully deleted ${file.file_id} from OpenAI`,
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);
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} catch (error) {
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logger.error('[deleteOpenAIFile] Error deleting file from OpenAI: ' + error.message);
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throw error;
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}
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}
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/**
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* Retrieves a readable stream for a file from local storage.
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*
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* @param {string} file_id - The file_id.
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* @param {OpenAI} openai - The initialized OpenAI client.
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* @returns {Promise<ReadableStream>} A readable stream of the file.
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*/
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async function getOpenAIFileStream(file_id, openai) {
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try {
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return await openai.files.content(file_id);
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} catch (error) {
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logger.error('Error getting OpenAI file download stream:', error);
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throw error;
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}
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}
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module.exports = { uploadOpenAIFile, deleteOpenAIFile, getOpenAIFileStream };
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