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https://github.com/danny-avila/LibreChat.git
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* chore: fix `endpoint` typescript issues and typo in console info message * feat(api): files GET endpoint and save only file_id references to messages * refactor(client): `useGetFiles` query hook, update file types, optimistic update of filesQuery on file upload * refactor(buildTree): update to use params object and accept fileMap * feat: map files to messages; refactor(ChatView): messages only available after files are fetched * fix: fetch files only when authenticated * feat(api): AppService - rename app.locals.configs to app.locals.paths - load custom config use fileStrategy from yaml config in app.locals * refactor: separate Firebase and Local strategies, call based on config * refactor: modularize file strategies and employ with use of DALL-E * refactor(librechat.yaml): add fileStrategy field * feat: add source to MongoFile schema, as well as BatchFile, and ExtendedFile types * feat: employ file strategies for upload/delete files * refactor(deleteFirebaseFile): add user id validation for firebase file deletion * chore(deleteFirebaseFile): update jsdocs * feat: employ strategies for vision requests * fix(client): handle messages with deleted files * fix(client): ensure `filesToDelete` always saves/sends `file.source` * feat(openAI): configurable `resendImages` and `imageDetail` * refactor(getTokenCountForMessage): recursive process only when array of Objects and only their values (not keys) aside from `image_url` types * feat(OpenAIClient): calculateImageTokenCost * chore: remove comment * refactor(uploadAvatar): employ fileStrategy for avatars, from social logins or user upload * docs: update docs on how to configure fileStrategy * fix(ci): mock winston and winston related modules, update DALLE3.spec.js with changes made * refactor(redis): change terminal message to reflect current development state * fix(DALL-E-2): pass fileStrategy to dall-e
33 lines
1.3 KiB
JavaScript
33 lines
1.3 KiB
JavaScript
const { parseConvo, EModelEndpoint } = require('librechat-data-provider');
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const { processFiles } = require('~/server/services/Files/process');
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const gptPlugins = require('~/server/services/Endpoints/gptPlugins');
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const anthropic = require('~/server/services/Endpoints/anthropic');
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const openAI = require('~/server/services/Endpoints/openAI');
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const custom = require('~/server/services/Endpoints/custom');
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const google = require('~/server/services/Endpoints/google');
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const buildFunction = {
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[EModelEndpoint.openAI]: openAI.buildOptions,
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[EModelEndpoint.google]: google.buildOptions,
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[EModelEndpoint.custom]: custom.buildOptions,
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[EModelEndpoint.azureOpenAI]: openAI.buildOptions,
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[EModelEndpoint.anthropic]: anthropic.buildOptions,
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[EModelEndpoint.gptPlugins]: gptPlugins.buildOptions,
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};
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function buildEndpointOption(req, res, next) {
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const { endpoint, endpointType } = req.body;
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const parsedBody = parseConvo({ endpoint, endpointType, conversation: req.body });
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req.body.endpointOption = buildFunction[endpointType ?? endpoint](
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endpoint,
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parsedBody,
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endpointType,
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);
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if (req.body.files) {
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// hold the promise
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req.body.endpointOption.attachments = processFiles(req.body.files);
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}
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next();
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}
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module.exports = buildEndpointOption;
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