mirror of
https://github.com/danny-avila/LibreChat.git
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5cd5c3bef8
* chore: rename dir from `assistant` to plural * feat: `assistants` field for azure config, spread options in AppService * refactor: rename constructAzureURL param for azure as `azureOptions` * chore: bump openai and bun * chore(loadDefaultModels): change naming of assistant -> assistants * feat: load azure settings with currect baseURL for assistants' initializeClient * refactor: add `assistants` flags to groups and model configs, add mapGroupToAzureConfig * feat(loadConfigEndpoints): initialize assistants endpoint if azure flag `assistants` is enabled * feat(AppService): determine assistant models on startup, throw Error if none * refactor(useDeleteAssistantMutation): send model along with assistant id for delete mutations * feat: support listing and deleting assistants with azure * feat: add model query to assistant avatar upload * feat: add azure support for retrieveRun method * refactor: update OpenAIClient initialization * chore: update README * fix(ci): tests passing * refactor(uploadOpenAIFile): improve logging and use more efficient REST API method * refactor(useFileHandling): add model to metadata to target Azure region compatible with current model * chore(files): add azure naming pattern for valid file id recognition * fix(assistants): initialize openai with first available assistant model if none provided * refactor(uploadOpenAIFile): add content type for azure, initialize formdata before azure options * refactor(sleep): move sleep function out of Runs and into `~/server/utils` * fix(azureOpenAI/assistants): make sure to only overwrite models with assistant models if `assistants` flag is enabled * refactor(uploadOpenAIFile): revert to old method * chore(uploadOpenAIFile): use enum for file purpose * docs: azureOpenAI update guide with more info, examples * feat: enable/disable assistant capabilities and specify retrieval models * refactor: optional chain conditional statement in loadConfigModels.js * docs: add assistants examples * chore: update librechat.example.yaml * docs(azure): update note of file upload behavior in Azure OpenAI Assistants * chore: update docs and add descriptive message about assistant errors * fix: prevent message submission with invalid assistant or if files loading * style: update Landing icon & text when assistant is not selected * chore: bump librechat-data-provider to 0.4.8 * fix(assistants/azure): assign req.body.model for proper azure init to abort runs
62 lines
2 KiB
JavaScript
62 lines
2 KiB
JavaScript
const fs = require('fs');
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const { FilePurpose } = require('librechat-data-provider');
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const { sleep } = require('~/server/utils');
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const { logger } = require('~/config');
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/**
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* Uploads a file that can be used across various OpenAI services.
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*
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* @param {Express.Request} req - The request object from Express. It should have a `user` property with an `id`
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* representing the user, and an `app.locals.paths` object with an `imageOutput` path.
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* @param {Express.Multer.File} file - The file uploaded to the server via multer.
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* @param {OpenAIClient} openai - The initialized OpenAI client.
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* @returns {Promise<OpenAIFile>}
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*/
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async function uploadOpenAIFile(req, file, openai) {
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const uploadedFile = await openai.files.create({
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file: fs.createReadStream(file.path),
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purpose: FilePurpose.Assistants,
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});
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logger.debug(
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`[uploadOpenAIFile] User ${req.user.id} successfully uploaded file to OpenAI`,
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uploadedFile,
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);
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if (uploadedFile.status !== 'processed') {
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const sleepTime = 2500;
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logger.debug(
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`[uploadOpenAIFile] File ${
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uploadedFile.id
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} is not yet processed. Waiting for it to be processed (${sleepTime / 1000}s)...`,
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);
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await sleep(sleepTime);
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}
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return uploadedFile;
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}
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/**
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* Deletes a file previously uploaded to OpenAI.
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*
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* @param {Express.Request} req - The request object from Express.
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* @param {MongoFile} file - The database representation of the uploaded file.
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* @param {OpenAI} openai - The initialized OpenAI client.
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* @returns {Promise<void>}
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*/
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async function deleteOpenAIFile(req, file, openai) {
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try {
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const res = await openai.files.del(file.file_id);
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if (!res.deleted) {
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throw new Error('OpenAI returned `false` for deleted status');
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}
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logger.debug(
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`[deleteOpenAIFile] User ${req.user.id} successfully deleted ${file.file_id} from OpenAI`,
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);
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} catch (error) {
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logger.error('[deleteOpenAIFile] Error deleting file from OpenAI: ' + error.message);
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throw error;
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}
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}
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module.exports = { uploadOpenAIFile, deleteOpenAIFile };
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