mirror of
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
173 lines
5 KiB
JavaScript
173 lines
5 KiB
JavaScript
const { isAssistantsEndpoint } = require('librechat-data-provider');
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const { sendMessage, sendError, countTokens, isEnabled } = require('~/server/utils');
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const { truncateText, smartTruncateText } = require('~/app/clients/prompts');
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const { saveMessage, getConvo, getConvoTitle } = require('~/models');
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const clearPendingReq = require('~/cache/clearPendingReq');
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const abortControllers = require('./abortControllers');
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const spendTokens = require('~/models/spendTokens');
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const { abortRun } = require('./abortRun');
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const { logger } = require('~/config');
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async function abortMessage(req, res) {
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let { abortKey, conversationId, endpoint } = req.body;
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if (!abortKey && conversationId) {
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abortKey = conversationId;
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}
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if (isAssistantsEndpoint(endpoint)) {
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return await abortRun(req, res);
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}
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if (!abortControllers.has(abortKey) && !res.headersSent) {
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return res.status(204).send({ message: 'Request not found' });
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}
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const { abortController } = abortControllers.get(abortKey);
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const finalEvent = await abortController.abortCompletion();
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logger.debug('[abortMessage] Aborted request', { abortKey });
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abortControllers.delete(abortKey);
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if (res.headersSent && finalEvent) {
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return sendMessage(res, finalEvent);
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}
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res.setHeader('Content-Type', 'application/json');
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res.send(JSON.stringify(finalEvent));
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}
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const handleAbort = () => {
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return async (req, res) => {
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try {
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if (isEnabled(process.env.LIMIT_CONCURRENT_MESSAGES)) {
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await clearPendingReq({ userId: req.user.id });
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}
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return await abortMessage(req, res);
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} catch (err) {
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logger.error('[abortMessage] handleAbort error', err);
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}
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};
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};
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const createAbortController = (req, res, getAbortData) => {
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const abortController = new AbortController();
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const { endpointOption } = req.body;
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const onStart = (userMessage) => {
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sendMessage(res, { message: userMessage, created: true });
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const abortKey = userMessage?.conversationId ?? req.user.id;
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abortControllers.set(abortKey, { abortController, ...endpointOption });
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res.on('finish', function () {
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abortControllers.delete(abortKey);
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});
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};
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abortController.abortCompletion = async function () {
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abortController.abort();
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const { conversationId, userMessage, promptTokens, ...responseData } = getAbortData();
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const completionTokens = await countTokens(responseData?.text ?? '');
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const user = req.user.id;
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const responseMessage = {
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...responseData,
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conversationId,
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finish_reason: 'incomplete',
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endpoint: endpointOption.endpoint,
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iconURL: endpointOption.iconURL,
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model: endpointOption.modelOptions.model,
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unfinished: false,
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error: false,
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isCreatedByUser: false,
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tokenCount: completionTokens,
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};
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await spendTokens(
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{ ...responseMessage, context: 'incomplete', user },
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{ promptTokens, completionTokens },
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);
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saveMessage({ ...responseMessage, user });
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return {
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title: await getConvoTitle(user, conversationId),
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final: true,
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conversation: await getConvo(user, conversationId),
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requestMessage: userMessage,
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responseMessage: responseMessage,
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};
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};
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return { abortController, onStart };
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};
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const handleAbortError = async (res, req, error, data) => {
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if (error?.message?.includes('base64')) {
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logger.error('[handleAbortError] Error in base64 encoding', {
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...error,
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stack: smartTruncateText(error?.stack, 1000),
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message: truncateText(error.message, 350),
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});
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} else {
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logger.error('[handleAbortError] AI response error; aborting request:', error);
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}
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const { sender, conversationId, messageId, parentMessageId, partialText } = data;
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if (error.stack && error.stack.includes('google')) {
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logger.warn(
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`AI Response error for conversation ${conversationId} likely caused by Google censor/filter`,
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);
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}
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const errorText = error?.message?.includes('"type"')
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? error.message
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: 'An error occurred while processing your request. Please contact the Admin.';
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const respondWithError = async (partialText) => {
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let options = {
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sender,
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messageId,
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conversationId,
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parentMessageId,
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text: errorText,
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shouldSaveMessage: true,
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user: req.user.id,
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};
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if (partialText) {
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options = {
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...options,
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error: false,
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unfinished: true,
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text: partialText,
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};
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}
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const callback = async () => {
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if (abortControllers.has(conversationId)) {
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const { abortController } = abortControllers.get(conversationId);
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abortController.abort();
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abortControllers.delete(conversationId);
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}
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};
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await sendError(res, options, callback);
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};
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if (partialText && partialText.length > 5) {
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try {
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return await abortMessage(req, res);
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} catch (err) {
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logger.error('[handleAbortError] error while trying to abort message', err);
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return respondWithError(partialText);
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}
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} else {
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return respondWithError();
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}
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};
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module.exports = {
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handleAbort,
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createAbortController,
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handleAbortError,
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};
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