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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
parent 7a55132e42
commit 097a978e5b
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17
api/server/services/Config/loadConfigEndpoints.js
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@ -1,11 +1,13 @@
const { EModelEndpoint } = require('librechat-data-provider');
const { isUserProvided, extractEnvVariable } = require('~/server/utils');
const { EModelEndpoint, extractEnvVariable } = require('librechat-data-provider');
const { isUserProvided } = require('~/server/utils');
const getCustomConfig = require('./getCustomConfig');
/**
* Load config endpoints from the cached configuration object
* @function loadConfigEndpoints */
async function loadConfigEndpoints() {
* @param {Express.Request} req - The request object
* @returns {Promise<TEndpointsConfig>} A promise that resolves to an object containing the endpoints configuration
*/
async function loadConfigEndpoints(req) {
const customConfig = await getCustomConfig();
if (!customConfig) {
@ -42,6 +44,13 @@ async function loadConfigEndpoints() {
}
}
if (req.app.locals[EModelEndpoint.azureOpenAI]) {
/** @type {Omit<TConfig, 'order'>} */
endpointsConfig[EModelEndpoint.azureOpenAI] = {
userProvide: false,
};
}
return endpointsConfig;
}