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https://github.com/danny-avila/LibreChat.git
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* wip: first pass for azure endpoint schema * refactor: azure config to return groupMap and modelConfigMap * wip: naming and schema changes * refactor(errorsToString): move to data-provider * feat: rename to azureGroups, add additional tests, tests all expected outcomes, return errors * feat(AppService): load Azure groups * refactor(azure): use imported types, write `mapModelToAzureConfig` * refactor: move `extractEnvVariable` to data-provider * refactor(validateAzureGroups): throw on duplicate groups or models; feat(mapModelToAzureConfig): throw if env vars not present, add tests * refactor(AppService): ensure each model is properly configured on startup * refactor: deprecate azureOpenAI environment variables in favor of librechat.yaml config * feat: use helper functions to handle and order enabled/default endpoints; initialize azureOpenAI from config file * refactor: redefine types as well as load azureOpenAI models from config file * chore(ci): fix test description naming * feat(azureOpenAI): use validated model grouping for request authentication * chore: bump data-provider following rebase * chore: bump config file version noting significant changes * feat: add title options and switch azure configs for titling and vision requests * feat: enable azure plugins from config file * fix(ci): pass tests * chore(.env.example): mark `PLUGINS_USE_AZURE` as deprecated * fix(fetchModels): early return if apiKey not passed * chore: fix azure config typing * refactor(mapModelToAzureConfig): return baseURL and headers as well as azureOptions * feat(createLLM): use `azureOpenAIBasePath` * feat(parsers): resolveHeaders * refactor(extractBaseURL): handle invalid input * feat(OpenAIClient): handle headers and baseURL for azureConfig * fix(ci): pass `OpenAIClient` tests * chore: extract env var for azureOpenAI group config, baseURL * docs: azureOpenAI config setup docs * feat: safe check of potential conflicting env vars that map to unique placeholders * fix: reset apiKey when model switches from originally requested model (vision or title) * chore: linting * docs: CONFIG_PATH notes in custom_config.md
54 lines
1.5 KiB
JavaScript
54 lines
1.5 KiB
JavaScript
const { EModelEndpoint } = require('librechat-data-provider');
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const { addOpenAPISpecs } = require('~/app/clients/tools/util/addOpenAPISpecs');
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const { availableTools } = require('~/app/clients/tools');
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const { openAIApiKey, azureOpenAIApiKey, useAzurePlugins, userProvidedOpenAI, googleKey } =
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require('./EndpointService').config;
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/**
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* Load async endpoints and return a configuration object
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* @param {Express.Request} req - The request object
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*/
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async function loadAsyncEndpoints(req) {
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let i = 0;
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let serviceKey, googleUserProvides;
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try {
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serviceKey = 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 (googleKey === 'user_provided') {
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googleUserProvides = 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 = serviceKey || googleKey ? { userProvide: googleUserProvides } : false;
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const useAzure = req.app.locals[EModelEndpoint.azureOpenAI]?.plugins;
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const gptPlugins =
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useAzure || openAIApiKey || azureOpenAIApiKey
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? {
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plugins,
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availableAgents: ['classic', 'functions'],
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userProvide: useAzure ? false : userProvidedOpenAI,
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azure: useAzurePlugins || useAzure,
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}
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: false;
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return { google, gptPlugins };
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}
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module.exports = loadAsyncEndpoints;
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