LibreChat/api/server/services/Endpoints/custom/initializeClient.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

110 lines
3.6 KiB
JavaScript

const {
EModelEndpoint,
CacheKeys,
extractEnvVariable,
envVarRegex,
} = require('librechat-data-provider');
const { getUserKey, checkUserKeyExpiry } = require('~/server/services/UserService');
const getCustomConfig = require('~/server/services/Config/getCustomConfig');
const { fetchModels } = require('~/server/services/ModelService');
const getLogStores = require('~/cache/getLogStores');
const { isUserProvided } = require('~/server/utils');
const { OpenAIClient } = require('~/app');
const { PROXY } = process.env;
const initializeClient = async ({ req, res, endpointOption }) => {
const { key: expiresAt, endpoint } = req.body;
const customConfig = await getCustomConfig();
if (!customConfig) {
throw new Error(`Config not found for the ${endpoint} custom endpoint.`);
}
const { endpoints = {} } = customConfig;
const customEndpoints = endpoints[EModelEndpoint.custom] ?? [];
const endpointConfig = customEndpoints.find((endpointConfig) => endpointConfig.name === endpoint);
const CUSTOM_API_KEY = extractEnvVariable(endpointConfig.apiKey);
const CUSTOM_BASE_URL = extractEnvVariable(endpointConfig.baseURL);
let resolvedHeaders = {};
if (endpointConfig.headers && typeof endpointConfig.headers === 'object') {
Object.keys(endpointConfig.headers).forEach((key) => {
resolvedHeaders[key] = extractEnvVariable(endpointConfig.headers[key]);
});
}
if (CUSTOM_API_KEY.match(envVarRegex)) {
throw new Error(`Missing API Key for ${endpoint}.`);
}
if (CUSTOM_BASE_URL.match(envVarRegex)) {
throw new Error(`Missing Base URL for ${endpoint}.`);
}
const cache = getLogStores(CacheKeys.TOKEN_CONFIG);
let endpointTokenConfig = await cache.get(endpoint);
if (endpointConfig && endpointConfig.models.fetch && !endpointTokenConfig) {
await fetchModels({ apiKey: CUSTOM_API_KEY, baseURL: CUSTOM_BASE_URL, name: endpoint });
endpointTokenConfig = await cache.get(endpoint);
}
const customOptions = {
headers: resolvedHeaders,
addParams: endpointConfig.addParams,
dropParams: endpointConfig.dropParams,
titleConvo: endpointConfig.titleConvo,
titleModel: endpointConfig.titleModel,
forcePrompt: endpointConfig.forcePrompt,
summaryModel: endpointConfig.summaryModel,
modelDisplayLabel: endpointConfig.modelDisplayLabel,
titleMethod: endpointConfig.titleMethod ?? 'completion',
contextStrategy: endpointConfig.summarize ? 'summarize' : null,
endpointTokenConfig,
};
const useUserKey = isUserProvided(CUSTOM_API_KEY);
const useUserURL = isUserProvided(CUSTOM_BASE_URL);
let userValues = null;
if (expiresAt && (useUserKey || useUserURL)) {
checkUserKeyExpiry(
expiresAt,
`Your API values for ${endpoint} have expired. Please configure them again.`,
);
userValues = await getUserKey({ userId: req.user.id, name: endpoint });
try {
userValues = JSON.parse(userValues);
} catch (e) {
throw new Error(`Invalid JSON provided for ${endpoint} user values.`);
}
}
let apiKey = useUserKey ? userValues.apiKey : CUSTOM_API_KEY;
let baseURL = useUserURL ? userValues.baseURL : CUSTOM_BASE_URL;
if (!apiKey) {
throw new Error(`${endpoint} API key not provided.`);
}
if (!baseURL) {
throw new Error(`${endpoint} Base URL not provided.`);
}
const clientOptions = {
reverseProxyUrl: baseURL ?? null,
proxy: PROXY ?? null,
req,
res,
...customOptions,
...endpointOption,
};
const client = new OpenAIClient(apiKey, clientOptions);
return {
client,
openAIApiKey: apiKey,
};
};
module.exports = initializeClient;