LibreChat/api/server/services/Config/loadConfigModels.js
Danny Avila 097a978e5b
🅰️ 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
2024-02-26 14:12:25 -05:00

92 lines
2.7 KiB
JavaScript

const { EModelEndpoint, extractEnvVariable } = require('librechat-data-provider');
const { isUserProvided } = require('~/server/utils');
const { fetchModels } = require('~/server/services/ModelService');
const getCustomConfig = require('./getCustomConfig');
/**
* Load config endpoints from the cached configuration object
* @function loadConfigModels
* @param {Express.Request} req - The Express request object.
*/
async function loadConfigModels(req) {
const customConfig = await getCustomConfig();
if (!customConfig) {
return {};
}
const { endpoints = {} } = customConfig ?? {};
const modelsConfig = {};
const azureModels = req.app.locals[EModelEndpoint.azureOpenAI]?.modelNames;
const azureEndpoint = endpoints[EModelEndpoint.azureOpenAI];
if (azureModels && azureEndpoint) {
modelsConfig[EModelEndpoint.azureOpenAI] = azureModels;
}
if (azureModels && azureEndpoint && azureEndpoint.plugins) {
modelsConfig[EModelEndpoint.gptPlugins] = azureModels;
}
if (!Array.isArray(endpoints[EModelEndpoint.custom])) {
return modelsConfig;
}
const customEndpoints = endpoints[EModelEndpoint.custom].filter(
(endpoint) =>
endpoint.baseURL &&
endpoint.apiKey &&
endpoint.name &&
endpoint.models &&
(endpoint.models.fetch || endpoint.models.default),
);
const fetchPromisesMap = {}; // Map for promises keyed by baseURL
const baseUrlToNameMap = {}; // Map to associate baseURLs with names
for (let i = 0; i < customEndpoints.length; i++) {
const endpoint = customEndpoints[i];
const { models, name, baseURL, apiKey } = endpoint;
const API_KEY = extractEnvVariable(apiKey);
const BASE_URL = extractEnvVariable(baseURL);
modelsConfig[name] = [];
if (models.fetch && !isUserProvided(API_KEY) && !isUserProvided(BASE_URL)) {
fetchPromisesMap[BASE_URL] =
fetchPromisesMap[BASE_URL] ||
fetchModels({
user: req.user.id,
baseURL: BASE_URL,
apiKey: API_KEY,
name,
userIdQuery: models.userIdQuery,
});
baseUrlToNameMap[BASE_URL] = baseUrlToNameMap[BASE_URL] || [];
baseUrlToNameMap[BASE_URL].push(name);
continue;
}
if (Array.isArray(models.default)) {
modelsConfig[name] = models.default;
}
}
const fetchedData = await Promise.all(Object.values(fetchPromisesMap));
const baseUrls = Object.keys(fetchPromisesMap);
for (let i = 0; i < fetchedData.length; i++) {
const currentBaseUrl = baseUrls[i];
const modelData = fetchedData[i];
const associatedNames = baseUrlToNameMap[currentBaseUrl];
for (const name of associatedNames) {
modelsConfig[name] = modelData;
}
}
return modelsConfig;
}
module.exports = loadConfigModels;