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https://github.com/danny-avila/LibreChat.git
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* 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
40 lines
1.6 KiB
JavaScript
40 lines
1.6 KiB
JavaScript
const { parseConvo, EModelEndpoint } = require('librechat-data-provider');
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const { getModelsConfig } = require('~/server/controllers/ModelController');
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const assistants = require('~/server/services/Endpoints/assistants');
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const gptPlugins = require('~/server/services/Endpoints/gptPlugins');
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const { processFiles } = require('~/server/services/Files/process');
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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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[EModelEndpoint.assistants]: assistants.buildOptions,
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};
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async 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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const modelsConfig = await getModelsConfig(req);
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req.body.endpointOption.modelsConfig = modelsConfig;
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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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