mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-09-22 08:12:00 +02:00
097a978e5b
* 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
52 lines
1.8 KiB
JavaScript
52 lines
1.8 KiB
JavaScript
const path = require('path');
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const { CacheKeys, configSchema } = require('librechat-data-provider');
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const loadYaml = require('~/utils/loadYaml');
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const { getLogStores } = require('~/cache');
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const { logger } = require('~/config');
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const projectRoot = path.resolve(__dirname, '..', '..', '..', '..');
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const defaultConfigPath = path.resolve(projectRoot, 'librechat.yaml');
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let i = 0;
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/**
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* Load custom configuration files and caches the object if the `cache` field at root is true.
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* Validation via parsing the config file with the config schema.
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* @function loadCustomConfig
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* @returns {Promise<TCustomConfig | null>} A promise that resolves to null or the custom config object.
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* */
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async function loadCustomConfig() {
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// Use CONFIG_PATH if set, otherwise fallback to defaultConfigPath
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const configPath = process.env.CONFIG_PATH || defaultConfigPath;
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const customConfig = loadYaml(configPath);
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if (!customConfig) {
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i === 0 &&
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logger.info(
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'Custom config file missing or YAML format invalid.\n\nCheck out the latest config file guide for configurable options and features.\nhttps://docs.librechat.ai/install/configuration/custom_config.html\n\n',
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);
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i === 0 && i++;
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return null;
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}
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const result = configSchema.strict().safeParse(customConfig);
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if (!result.success) {
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logger.error(`Invalid custom config file at ${configPath}`, result.error);
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return null;
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} else {
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logger.info('Custom config file loaded:');
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logger.info(JSON.stringify(customConfig, null, 2));
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logger.debug('Custom config:', customConfig);
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}
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if (customConfig.cache) {
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const cache = getLogStores(CacheKeys.CONFIG_STORE);
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await cache.set(CacheKeys.CUSTOM_CONFIG, customConfig);
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}
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// TODO: handle remote config
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return customConfig;
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}
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module.exports = loadCustomConfig;
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