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🅰️ feat: Azure Config to Allow Different Deployments per Model (#1863)

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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
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Danny Avila 2024-02-26 14:12:25 -05:00 • committed by GitHub
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commit 097a978e5b
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27
api/server/services/Config/loadDefaultEConfig.js
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@ -1,34 +1,17 @@
const { EModelEndpoint } = require('librechat-data-provider');
const { EModelEndpoint, getEnabledEndpoints } = require('librechat-data-provider');
const loadAsyncEndpoints = require('./loadAsyncEndpoints');
const { config } = require('./EndpointService');
/**
* Load async endpoints and return a configuration object
* @function loadDefaultEndpointsConfig
* @param {Express.Request} req - The request object
* @returns {Promise<Object.<string, EndpointWithOrder>>} An object whose keys are endpoint names and values are objects that contain the endpoint configuration and an order.
*/
async function loadDefaultEndpointsConfig() {
const { google, gptPlugins } = await loadAsyncEndpoints();
async function loadDefaultEndpointsConfig(req) {
const { google, gptPlugins } = await loadAsyncEndpoints(req);
const { openAI, assistants, bingAI, anthropic, azureOpenAI, chatGPTBrowser } = config;
let enabledEndpoints = [
EModelEndpoint.openAI,
EModelEndpoint.assistants,
EModelEndpoint.azureOpenAI,
EModelEndpoint.google,
EModelEndpoint.bingAI,
EModelEndpoint.chatGPTBrowser,
EModelEndpoint.gptPlugins,
EModelEndpoint.anthropic,
];
const endpointsEnv = process.env.ENDPOINTS || '';
if (endpointsEnv) {
enabledEndpoints = endpointsEnv
.split(',')
.filter((endpoint) => endpoint?.trim())
.map((endpoint) => endpoint.trim());
}
const enabledEndpoints = getEnabledEndpoints();
const endpointConfig = {
[EModelEndpoint.openAI]: openAI,