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🅰️ feat: Azure OpenAI Assistants API Support (#1992)
* 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
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60 changed files with 1044 additions and 300 deletions
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@ -10,9 +10,9 @@ const {
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saveAssistantMessage,
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} = require('~/server/services/Threads');
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const { runAssistant, createOnTextProgress } = require('~/server/services/AssistantService');
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const { addTitle, initializeClient } = require('~/server/services/Endpoints/assistant');
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const { sendResponse, sendMessage } = require('~/server/utils');
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const { createRun, sleep } = require('~/server/services/Runs');
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const { addTitle, initializeClient } = require('~/server/services/Endpoints/assistants');
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const { sendResponse, sendMessage, sleep } = require('~/server/utils');
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const { createRun } = require('~/server/services/Runs');
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const { getConvo } = require('~/models/Conversation');
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const getLogStores = require('~/cache/getLogStores');
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const { logger } = require('~/config');
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@ -101,6 +101,8 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
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let completedRun;
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const handleError = async (error) => {
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const defaultErrorMessage =
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'The Assistant run failed to initialize. Try sending a message in a new conversation.';
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const messageData = {
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thread_id,
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assistant_id,
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@ -119,12 +121,19 @@ router.post('/', validateModel, buildEndpointOption, setHeaders, async (req, res
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return;
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} else if (error.message === 'Request closed') {
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logger.debug('[/assistants/chat/] Request aborted on close');
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} else if (/Files.*are invalid/.test(error.message)) {
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const errorMessage = `Files are invalid, or may not have uploaded yet.${
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req.app.locals?.[EModelEndpoint.azureOpenAI].assistants
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? ' If using Azure OpenAI, files are only available in the region of the assistant\'s model at the time of upload.'
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: ''
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}`;
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return sendResponse(res, messageData, errorMessage);
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} else {
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logger.error('[/assistants/chat/]', error);
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}
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if (!openai || !thread_id || !run_id) {
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return sendResponse(res, messageData, 'The Assistant run failed to initialize');
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return sendResponse(res, messageData, defaultErrorMessage);
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}
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await sleep(3000);
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