LibreChat/api/server/routes/files/files.js
Danny Avila 1a452121fa
🤖 feat: OpenAI Assistants v2 (initial support) (#2781)
* 🤖 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
2024-05-19 12:56:55 -04:00

172 lines
5.1 KiB
JavaScript

const fs = require('fs').promises;
const express = require('express');
const { isUUID, checkOpenAIStorage } = require('librechat-data-provider');
const {
filterFile,
processFileUpload,
processDeleteRequest,
} = require('~/server/services/Files/process');
const { initializeClient } = require('~/server/services/Endpoints/assistants');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { getFiles } = require('~/models/File');
const { logger } = require('~/config');
const router = express.Router();
router.get('/', async (req, res) => {
try {
const files = await getFiles({ user: req.user.id });
res.status(200).send(files);
} catch (error) {
logger.error('[/files] Error getting files:', error);
res.status(400).json({ message: 'Error in request', error: error.message });
}
});
router.get('/config', async (req, res) => {
try {
res.status(200).json(req.app.locals.fileConfig);
} catch (error) {
logger.error('[/files] Error getting fileConfig', error);
res.status(400).json({ message: 'Error in request', error: error.message });
}
});
router.delete('/', async (req, res) => {
try {
const { files: _files } = req.body;
/** @type {MongoFile[]} */
const files = _files.filter((file) => {
if (!file.file_id) {
return false;
}
if (!file.filepath) {
return false;
}
if (/^(file|assistant)-/.test(file.file_id)) {
return true;
}
return isUUID.safeParse(file.file_id).success;
});
if (files.length === 0) {
res.status(204).json({ message: 'Nothing provided to delete' });
return;
}
await processDeleteRequest({ req, files });
res.status(200).json({ message: 'Files deleted successfully' });
} catch (error) {
logger.error('[/files] Error deleting files:', error);
res.status(400).json({ message: 'Error in request', error: error.message });
}
});
router.get('/download/:userId/:file_id', async (req, res) => {
try {
const { userId, file_id } = req.params;
logger.debug(`File download requested by user ${userId}: ${file_id}`);
if (userId !== req.user.id) {
logger.warn(`${errorPrefix} forbidden: ${file_id}`);
return res.status(403).send('Forbidden');
}
const [file] = await getFiles({ file_id });
const errorPrefix = `File download requested by user ${userId}`;
if (!file) {
logger.warn(`${errorPrefix} not found: ${file_id}`);
return res.status(404).send('File not found');
}
if (!file.filepath.includes(userId)) {
logger.warn(`${errorPrefix} forbidden: ${file_id}`);
return res.status(403).send('Forbidden');
}
if (checkOpenAIStorage(file.source) && !file.model) {
logger.warn(`${errorPrefix} has no associated model: ${file_id}`);
return res.status(400).send('The model used when creating this file is not available');
}
const { getDownloadStream } = getStrategyFunctions(file.source);
if (!getDownloadStream) {
logger.warn(`${errorPrefix} has no stream method implemented: ${file.source}`);
return res.status(501).send('Not Implemented');
}
const setHeaders = () => {
res.setHeader('Content-Disposition', `attachment; filename="${file.filename}"`);
res.setHeader('Content-Type', 'application/octet-stream');
res.setHeader('X-File-Metadata', JSON.stringify(file));
};
/** @type {{ body: import('stream').PassThrough } | undefined} */
let passThrough;
/** @type {ReadableStream | undefined} */
let fileStream;
if (checkOpenAIStorage(file.source)) {
req.body = { model: file.model };
const { openai } = await initializeClient({ req, res });
logger.debug(`Downloading file ${file_id} from OpenAI`);
passThrough = await getDownloadStream(file_id, openai);
setHeaders();
logger.debug(`File ${file_id} downloaded from OpenAI`);
passThrough.body.pipe(res);
} else {
fileStream = getDownloadStream(file_id);
setHeaders();
fileStream.pipe(res);
}
} catch (error) {
logger.error('Error downloading file:', error);
res.status(500).send('Error downloading file');
}
});
router.post('/', async (req, res) => {
const file = req.file;
const metadata = req.body;
let cleanup = true;
try {
filterFile({ req, file });
metadata.temp_file_id = metadata.file_id;
metadata.file_id = req.file_id;
await processFileUpload({ req, res, file, metadata });
} catch (error) {
let message = 'Error processing file';
logger.error('[/files] Error processing file:', error);
cleanup = false;
if (error.message?.includes('file_ids')) {
message += ': ' + error.message;
}
// TODO: delete remote file if it exists
try {
await fs.unlink(file.path);
} catch (error) {
logger.error('[/files] Error deleting file:', error);
}
res.status(500).json({ message });
}
if (cleanup) {
try {
await fs.unlink(file.path);
} catch (error) {
logger.error('[/files/images] Error deleting file after file processing:', error);
}
}
});
module.exports = router;