mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-17 17:00:15 +01:00
d20970f5c5
* 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
166 lines
2.7 KiB
JavaScript
166 lines
2.7 KiB
JavaScript
const conversationPreset = {
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// endpoint: [azureOpenAI, openAI, bingAI, anthropic, chatGPTBrowser]
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endpoint: {
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type: String,
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default: null,
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required: true,
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},
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endpointType: {
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type: String,
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},
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// for azureOpenAI, openAI, chatGPTBrowser only
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model: {
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type: String,
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// default: null,
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required: false,
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},
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// for azureOpenAI, openAI only
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chatGptLabel: {
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type: String,
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// default: null,
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required: false,
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},
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// for google only
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modelLabel: {
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type: String,
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// default: null,
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required: false,
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},
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promptPrefix: {
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type: String,
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// default: null,
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required: false,
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},
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temperature: {
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type: Number,
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// default: 1,
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required: false,
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},
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top_p: {
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type: Number,
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// default: 1,
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required: false,
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},
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// for google only
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topP: {
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type: Number,
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// default: 0.95,
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required: false,
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},
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topK: {
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type: Number,
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// default: 40,
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required: false,
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},
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maxOutputTokens: {
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type: Number,
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// default: 1024,
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required: false,
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},
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presence_penalty: {
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type: Number,
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// default: 0,
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required: false,
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},
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frequency_penalty: {
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type: Number,
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// default: 0,
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required: false,
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},
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// for bingai only
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jailbreak: {
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type: Boolean,
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// default: false,
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},
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context: {
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type: String,
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// default: null,
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},
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systemMessage: {
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type: String,
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// default: null,
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},
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toneStyle: {
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type: String,
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// default: null,
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},
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resendImages: {
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type: Boolean,
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},
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imageDetail: {
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type: String,
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},
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};
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const agentOptions = {
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model: {
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type: String,
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// default: null,
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required: false,
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},
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// for azureOpenAI, openAI only
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chatGptLabel: {
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type: String,
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// default: null,
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required: false,
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},
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modelLabel: {
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type: String,
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// default: null,
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required: false,
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},
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promptPrefix: {
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type: String,
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// default: null,
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required: false,
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},
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temperature: {
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type: Number,
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// default: 1,
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required: false,
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},
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top_p: {
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type: Number,
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// default: 1,
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required: false,
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},
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// for google only
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topP: {
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type: Number,
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// default: 0.95,
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required: false,
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},
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topK: {
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type: Number,
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// default: 40,
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required: false,
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},
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maxOutputTokens: {
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type: Number,
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// default: 1024,
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required: false,
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},
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presence_penalty: {
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type: Number,
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// default: 0,
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required: false,
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},
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frequency_penalty: {
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type: Number,
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// default: 0,
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required: false,
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},
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context: {
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type: String,
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// default: null,
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},
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systemMessage: {
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type: String,
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// default: null,
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},
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};
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module.exports = {
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conversationPreset,
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agentOptions,
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};
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