mirror of
https://github.com/danny-avila/LibreChat.git
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* feat: add timer duration to showToast, show toast for preset selection * refactor: replace old /chat/ route with /c/. e2e tests will fail here * refactor: move typedefs to root of /api/ and add a few to assistant types in TS * refactor: reorganize data-provider imports, fix dependency cycle, strategize new plan to separate react dependent packages * feat: add dataService for uploading images * feat(data-provider): add mutation keys * feat: file resizing and upload * WIP: initial API image handling * fix: catch JSON.parse of localStorage tools * chore: experimental: use module-alias for absolute imports * refactor: change temp_file_id strategy * fix: updating files state by using Map and defining react query callbacks in a way that keeps them during component unmount, initial delete handling * feat: properly handle file deletion * refactor: unexpose complete filepath and resize from server for higher fidelity * fix: make sure resized height, width is saved, catch bad requests * refactor: use absolute imports * fix: prevent setOptions from being called more than once for OpenAIClient, made note to fix for PluginsClient * refactor: import supportsFiles and models vars from schemas * fix: correctly replace temp file id * refactor(BaseClient): use absolute imports, pass message 'opts' to buildMessages method, count tokens for nested objects/arrays * feat: add validateVisionModel to determine if model has vision capabilities * chore(checkBalance): update jsdoc * feat: formatVisionMessage: change message content format dependent on role and image_urls passed * refactor: add usage to File schema, make create and updateFile, correctly set and remove TTL * feat: working vision support TODO: file size, type, amount validations, making sure they are styled right, and making sure you can add images from the clipboard/dragging * feat: clipboard support for uploading images * feat: handle files on drop to screen, refactor top level view code to Presentation component so the useDragHelpers hook has ChatContext * fix(Images): replace uploaded images in place * feat: add filepath validation to protect sensitive files * fix: ensure correct file_ids are push and not the Map key values * fix(ToastContext): type issue * feat: add basic file validation * fix(useDragHelpers): correct context issue with `files` dependency * refactor: consolidate setErrors logic to setError * feat: add dialog Image overlay on image click * fix: close endpoints menu on click * chore: set detail to auto, make note for configuration * fix: react warning (button desc. of button) * refactor: optimize filepath handling, pass file_ids to images for easier re-use * refactor: optimize image file handling, allow re-using files in regen, pass more file metadata in messages * feat: lazy loading images including use of upload preview * fix: SetKeyDialog closing, stopPropagation on Dialog content click * style(EndpointMenuItem): tighten up the style, fix dark theme showing in lightmode, make menu more ux friendly * style: change maxheight of all settings textareas to 138px from 300px * style: better styling for textarea and enclosing buttons * refactor(PresetItems): swap back edit and delete icons * feat: make textarea placeholder dynamic to endpoint * style: show user hover buttons only on hover when message is streaming * fix: ordered list not going past 9, fix css * feat: add User/AI labels; style: hide loading spinner * feat: add back custom footer, change original footer text * feat: dynamic landing icons based on endpoint * chore: comment out assistants route * fix: autoScroll to newest on /c/ view * fix: Export Conversation on new UI * style: match message style of official more closely * ci: fix api jest unit tests, comment out e2e tests for now as they will fail until addressed * feat: more file validation and use blob in preview field, not filepath, to fix temp deletion * feat: filefilter for multer * feat: better AI labels based on custom name, model, and endpoint instead of `ChatGPT`
71 lines
1.7 KiB
JavaScript
71 lines
1.7 KiB
JavaScript
const { EModelEndpoint } = require('../routes/endpoints/schemas');
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const { availableTools } = require('../../app/clients/tools');
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const { addOpenAPISpecs } = require('../../app/clients/tools/util/addOpenAPISpecs');
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const {
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openAIApiKey,
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azureOpenAIApiKey,
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useAzurePlugins,
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userProvidedOpenAI,
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palmKey,
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openAI,
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// assistant,
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azureOpenAI,
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bingAI,
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chatGPTBrowser,
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anthropic,
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} = require('../services/EndpointService').config;
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let i = 0;
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async function endpointController(req, res) {
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let key, palmUser;
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try {
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key = require('../../data/auth.json');
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} catch (e) {
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if (i === 0) {
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i++;
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}
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}
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if (palmKey === 'user_provided') {
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palmUser = true;
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if (i <= 1) {
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i++;
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}
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}
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const tools = await addOpenAPISpecs(availableTools);
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function transformToolsToMap(tools) {
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return tools.reduce((map, obj) => {
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map[obj.pluginKey] = obj.name;
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return map;
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}, {});
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}
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const plugins = transformToolsToMap(tools);
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const google = key || palmUser ? { userProvide: palmUser } : false;
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const gptPlugins =
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openAIApiKey || azureOpenAIApiKey
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? {
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plugins,
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availableAgents: ['classic', 'functions'],
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userProvide: userProvidedOpenAI,
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azure: useAzurePlugins,
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}
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: false;
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res.send(
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JSON.stringify({
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[EModelEndpoint.openAI]: openAI,
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// [EModelEndpoint.assistant]: assistant,
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[EModelEndpoint.azureOpenAI]: azureOpenAI,
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[EModelEndpoint.google]: google,
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[EModelEndpoint.bingAI]: bingAI,
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[EModelEndpoint.chatGPTBrowser]: chatGPTBrowser,
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[EModelEndpoint.gptPlugins]: gptPlugins,
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[EModelEndpoint.anthropic]: anthropic,
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}),
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);
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}
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module.exports = endpointController;
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