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

* 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
This commit is contained in:
Danny Avila 2024-02-26 14:12:25 -05:00 committed by GitHub
parent 7a55132e42
commit 097a978e5b
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37 changed files with 2066 additions and 394 deletions

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@ -1,4 +1,8 @@
const { EModelEndpoint } = require('librechat-data-provider');
const {
EModelEndpoint,
mapModelToAzureConfig,
resolveHeaders,
} = require('librechat-data-provider');
const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
const { getAzureCredentials } = require('~/utils');
const { isEnabled } = require('~/server/utils');
@ -14,7 +18,7 @@ const initializeClient = async ({ req, res, endpointOption }) => {
OPENAI_SUMMARIZE,
DEBUG_OPENAI,
} = process.env;
const { key: expiresAt, endpoint } = req.body;
const { key: expiresAt, endpoint, model: modelName } = req.body;
const contextStrategy = isEnabled(OPENAI_SUMMARIZE) ? 'summarize' : null;
const baseURLOptions = {
@ -51,8 +55,30 @@ const initializeClient = async ({ req, res, endpointOption }) => {
}
let apiKey = isUserProvided ? userKey : credentials[endpoint];
const isAzureOpenAI = endpoint === EModelEndpoint.azureOpenAI;
/** @type {false | TAzureConfig} */
const azureConfig = isAzureOpenAI && req.app.locals[EModelEndpoint.azureOpenAI];
if (endpoint === EModelEndpoint.azureOpenAI) {
if (isAzureOpenAI && azureConfig) {
const { modelGroupMap, groupMap } = azureConfig;
const {
azureOptions,
baseURL,
headers = {},
} = mapModelToAzureConfig({
modelName,
modelGroupMap,
groupMap,
});
clientOptions.azure = azureOptions;
clientOptions.titleConvo = azureConfig.titleConvo;
clientOptions.titleModel = azureConfig.titleModel;
clientOptions.titleMethod = azureConfig.titleMethod ?? 'completion';
clientOptions.reverseProxyUrl = baseURL ?? clientOptions.reverseProxyUrl;
clientOptions.headers = resolveHeaders({ ...headers, ...(clientOptions.headers ?? {}) });
apiKey = clientOptions.azure.azureOpenAIApiKey;
} else if (isAzureOpenAI) {
clientOptions.azure = isUserProvided ? JSON.parse(userKey) : getAzureCredentials();
apiKey = clientOptions.azure.azureOpenAIApiKey;
}