LibreChat/api/server/routes/files/files.js
Danny Avila ad74350036
🚧 chore: merge latest dev build (#4288)
* fix: agent initialization, add `collectedUsage` handling

* style: improve side panel styling

* refactor(loadAgent): Optimize order agent project ID retrieval

* feat: code execution

* fix: typing issues

* feat: ExecuteCode content part

* refactor: use local state for default collapsed state of analysis content parts

* fix: code parsing in ExecuteCode component

* chore: bump agents package, export loadAuthValues

* refactor: Update handleTools.js to use EnvVar for code execution tool authentication

* WIP

* feat: download code outputs

* fix(useEventHandlers): type issues

* feat: backend handling for code outputs

* Refactor: Remove console.log statement in Part.tsx

* refactor: add attachments to TMessage/messageSchema

* WIP: prelim handling for code outputs

* feat: attachments rendering

* refactor: improve attachments rendering

* fix: attachments, nullish edge case, handle attachments from event stream, bump agents package

* fix filename download

* fix: tool assignment for 'run code' on agent creation

* fix: image handling by adding attachments

* refactor: prevent agent creation without provider/model

* refactor: remove unnecessary space in agent creation success message

* refactor: select first model if selecting provider from empty on form

* fix: Agent avatar bug

* fix: `defaultAgentFormValues` causing boolean typing issue and typeerror

* fix: capabilities counting as tools, causing duplication of them

* fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation)

* chore: bump @librechat/agents dependency to version 1.6.9

* feat: bedrock agents

* feat: new Agents icon

* feat: agent titling

* feat: agent landing

* refactor: allow sharing agent globally only if user is admin or author

* feat: initial AgentPanelSkeleton

* feat: AgentPanelSkeleton

* feat: collaborative agents

* chore: add potential authorName as part of schema

* chore: Remove unnecessary console.log statement

* WIP: agent model parameters

* chore: ToolsDialog typing and tool related localization chnages

* refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper

* chore: add back tools

* feat: Agent knowledge files upload

* refactor: better verbiage for disabled knowledge

* chore: debug logs for file deletions

* chore: debug logs for file deletions

* feat: upload/delete agent knowledge/file-search files

* feat: file search UI for agents

* feat: first pass, file search tool

* chore: update default agent capabilities and info
2024-09-30 17:17:57 -04:00

228 lines
6.9 KiB
JavaScript

const fs = require('fs').promises;
const express = require('express');
const { EnvVar } = require('@librechat/agents');
const {
isUUID,
FileSources,
EModelEndpoint,
isAgentsEndpoint,
checkOpenAIStorage,
} = require('librechat-data-provider');
const {
filterFile,
processFileUpload,
processDeleteRequest,
processAgentFileUpload,
} = require('~/server/services/Files/process');
const { getStrategyFunctions } = require('~/server/services/Files/strategies');
const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
const { loadAuthValues } = require('~/app/clients/tools/util');
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 });
logger.debug(
`[/files] Files deleted successfully: ${files.map(
(f, i) => `${f.file_id}${i < files.length - 1 ? ', ' : ''}`,
)}`,
);
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('/code/download/:sessionId/:fileId', async (req, res) => {
try {
const { sessionId, fileId } = req.params;
const logPrefix = `Session ID: ${sessionId} | File ID: ${fileId} | Code output download requested by user `;
logger.debug(logPrefix);
if (!sessionId || !fileId) {
return res.status(400).send('Bad request');
}
const { getDownloadStream } = getStrategyFunctions(FileSources.execute_code);
if (!getDownloadStream) {
logger.warn(
`${logPrefix} has no stream method implemented for ${FileSources.execute_code} source`,
);
return res.status(501).send('Not Implemented');
}
const result = await loadAuthValues({ userId: req.user.id, authFields: [EnvVar.CODE_API_KEY] });
/** @type {AxiosResponse<ReadableStream> | undefined} */
const response = await getDownloadStream(`${sessionId}/${fileId}`, result[EnvVar.CODE_API_KEY]);
res.set(response.headers);
response.data.pipe(res);
} catch (error) {
logger.error('Error downloading file:', error);
res.status(500).send('Error downloading file');
}
});
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 endpointMap = {
[FileSources.openai]: EModelEndpoint.assistants,
[FileSources.azure]: EModelEndpoint.azureAssistants,
};
const { openai } = await getOpenAIClient({
req,
res,
overrideEndpoint: endpointMap[file.source],
});
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;
if (isAgentsEndpoint(metadata.endpoint)) {
return await processAgentFileUpload({ req, res, file, metadata });
}
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;