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https://github.com/danny-avila/LibreChat.git
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* 🤖 Assistants V2 Support: Part 1 - Separated Azure Assistants to its own endpoint - File Search / Vector Store integration is incomplete, but can toggle and use storage from playground - Code Interpreter resource files can be added but not deleted - GPT-4o is supported - Many improvements to the Assistants Endpoint overall data-provider v2 changes copy existing route as v1 chore: rename new endpoint to reduce comparison operations and add new azure filesource api: add azureAssistants part 1 force use of version for assistants/assistantsAzure chore: switch name back to azureAssistants refactor type version: string | number Ensure assistants endpoints have version set fix: isArchived type issue in ConversationListParams refactor: update assistants mutations/queries with endpoint/version definitions, update Assistants Map structure chore: FilePreview component ExtendedFile type assertion feat: isAssistantsEndpoint helper chore: remove unused useGenerations chore(buildTree): type issue chore(Advanced): type issue (unused component, maybe in future) first pass for multi-assistant endpoint rewrite fix(listAssistants): pass params correctly feat: list separate assistants by endpoint fix(useTextarea): access assistantMap correctly fix: assistant endpoint switching, resetting ID fix: broken during rewrite, selecting assistant mention fix: set/invalidate assistants endpoint query data correctly feat: Fix issue with assistant ID not being reset correctly getOpenAIClient helper function feat: add toast for assistant deletion fix: assistants delete right after create issue for azure fix: assistant patching refactor: actions to use getOpenAIClient refactor: consolidate logic into helpers file fix: issue where conversation data was not initially available v1 chat support refactor(spendTokens): only early return if completionTokens isNaN fix(OpenAIClient): ensure spendTokens has all necessary params refactor: route/controller logic fix(assistants/initializeClient): use defaultHeaders field fix: sanitize default operation id chore: bump openai package first pass v2 action service feat: retroactive domain parsing for actions added via v1 feat: delete db records of actions/assistants on openai assistant deletion chore: remove vision tools from v2 assistants feat: v2 upload and delete assistant vision images WIP first pass, thread attachments fix: show assistant vision files (save local/firebase copy) v2 image continue fix: annotations fix: refine annotations show analyze as error if is no longer submitting before progress reaches 1 and show file_search as retrieval tool fix: abort run, undefined endpoint issue refactor: consolidate capabilities logic and anticipate versioning frontend version 2 changes fix: query selection and filter add endpoint to unknown filepath add file ids to resource, deleting in progress enable/disable file search remove version log * 🤖 Assistants V2 Support: Part 2 🎹 fix: Autocompletion Chrome Bug on Action API Key Input chore: remove `useOriginNavigate` chore: set correct OpenAI Storage Source fix: azure file deletions, instantiate clients by source for deletion update code interpret files info feat: deleteResourceFileId chore: increase poll interval as azure easily rate limits fix: openai file deletions, TODO: evaluate rejected deletion settled promises to determine which to delete from db records file source icons update table file filters chore: file search info and versioning fix: retrieval update with necessary tool_resources if specified fix(useMentions): add optional chaining in case listMap value is undefined fix: force assistant avatar roundedness fix: azure assistants, check correct flag chore: bump data-provider * fix: merge conflict * ci: fix backend tests due to new updates * chore: update .env.example * meilisearch improvements * localization updates * chore: update comparisons * feat: add additional metadata: endpoint, author ID * chore: azureAssistants ENDPOINTS exclusion warning
172 lines
5.1 KiB
JavaScript
172 lines
5.1 KiB
JavaScript
const fs = require('fs').promises;
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const express = require('express');
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const { isUUID, checkOpenAIStorage } = require('librechat-data-provider');
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const {
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filterFile,
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processFileUpload,
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processDeleteRequest,
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} = require('~/server/services/Files/process');
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const { initializeClient } = require('~/server/services/Endpoints/assistants');
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const { getStrategyFunctions } = require('~/server/services/Files/strategies');
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const { getFiles } = require('~/models/File');
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const { logger } = require('~/config');
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const router = express.Router();
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router.get('/', async (req, res) => {
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try {
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const files = await getFiles({ user: req.user.id });
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res.status(200).send(files);
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} catch (error) {
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logger.error('[/files] Error getting files:', error);
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res.status(400).json({ message: 'Error in request', error: error.message });
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}
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});
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router.get('/config', async (req, res) => {
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try {
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res.status(200).json(req.app.locals.fileConfig);
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} catch (error) {
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logger.error('[/files] Error getting fileConfig', error);
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res.status(400).json({ message: 'Error in request', error: error.message });
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}
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});
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router.delete('/', async (req, res) => {
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try {
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const { files: _files } = req.body;
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/** @type {MongoFile[]} */
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const files = _files.filter((file) => {
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if (!file.file_id) {
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return false;
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}
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if (!file.filepath) {
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return false;
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}
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if (/^(file|assistant)-/.test(file.file_id)) {
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return true;
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}
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return isUUID.safeParse(file.file_id).success;
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});
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if (files.length === 0) {
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res.status(204).json({ message: 'Nothing provided to delete' });
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return;
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}
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await processDeleteRequest({ req, files });
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res.status(200).json({ message: 'Files deleted successfully' });
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} catch (error) {
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logger.error('[/files] Error deleting files:', error);
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res.status(400).json({ message: 'Error in request', error: error.message });
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}
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});
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router.get('/download/:userId/:file_id', async (req, res) => {
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try {
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const { userId, file_id } = req.params;
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logger.debug(`File download requested by user ${userId}: ${file_id}`);
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if (userId !== req.user.id) {
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logger.warn(`${errorPrefix} forbidden: ${file_id}`);
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return res.status(403).send('Forbidden');
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}
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const [file] = await getFiles({ file_id });
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const errorPrefix = `File download requested by user ${userId}`;
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if (!file) {
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logger.warn(`${errorPrefix} not found: ${file_id}`);
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return res.status(404).send('File not found');
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}
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if (!file.filepath.includes(userId)) {
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logger.warn(`${errorPrefix} forbidden: ${file_id}`);
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return res.status(403).send('Forbidden');
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}
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if (checkOpenAIStorage(file.source) && !file.model) {
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logger.warn(`${errorPrefix} has no associated model: ${file_id}`);
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return res.status(400).send('The model used when creating this file is not available');
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}
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const { getDownloadStream } = getStrategyFunctions(file.source);
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if (!getDownloadStream) {
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logger.warn(`${errorPrefix} has no stream method implemented: ${file.source}`);
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return res.status(501).send('Not Implemented');
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}
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const setHeaders = () => {
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res.setHeader('Content-Disposition', `attachment; filename="${file.filename}"`);
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res.setHeader('Content-Type', 'application/octet-stream');
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res.setHeader('X-File-Metadata', JSON.stringify(file));
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};
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/** @type {{ body: import('stream').PassThrough } | undefined} */
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let passThrough;
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/** @type {ReadableStream | undefined} */
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let fileStream;
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if (checkOpenAIStorage(file.source)) {
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req.body = { model: file.model };
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const { openai } = await initializeClient({ req, res });
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logger.debug(`Downloading file ${file_id} from OpenAI`);
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passThrough = await getDownloadStream(file_id, openai);
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setHeaders();
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logger.debug(`File ${file_id} downloaded from OpenAI`);
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passThrough.body.pipe(res);
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} else {
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fileStream = getDownloadStream(file_id);
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setHeaders();
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fileStream.pipe(res);
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}
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} catch (error) {
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logger.error('Error downloading file:', error);
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res.status(500).send('Error downloading file');
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}
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});
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router.post('/', async (req, res) => {
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const file = req.file;
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const metadata = req.body;
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let cleanup = true;
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try {
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filterFile({ req, file });
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metadata.temp_file_id = metadata.file_id;
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metadata.file_id = req.file_id;
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await processFileUpload({ req, res, file, metadata });
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} catch (error) {
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let message = 'Error processing file';
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logger.error('[/files] Error processing file:', error);
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cleanup = false;
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if (error.message?.includes('file_ids')) {
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message += ': ' + error.message;
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}
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// TODO: delete remote file if it exists
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try {
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await fs.unlink(file.path);
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} catch (error) {
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logger.error('[/files] Error deleting file:', error);
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}
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res.status(500).json({ message });
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}
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if (cleanup) {
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try {
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await fs.unlink(file.path);
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} catch (error) {
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logger.error('[/files/images] Error deleting file after file processing:', error);
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}
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}
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});
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module.exports = router;
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