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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
29 lines
1.2 KiB
JavaScript
29 lines
1.2 KiB
JavaScript
const { CacheKeys, EModelEndpoint, orderEndpointsConfig } = require('librechat-data-provider');
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const { loadDefaultEndpointsConfig, loadConfigEndpoints } = require('~/server/services/Config');
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const { getLogStores } = require('~/cache');
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async function endpointController(req, res) {
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const cache = getLogStores(CacheKeys.CONFIG_STORE);
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const cachedEndpointsConfig = await cache.get(CacheKeys.ENDPOINT_CONFIG);
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if (cachedEndpointsConfig) {
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res.send(cachedEndpointsConfig);
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return;
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}
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const defaultEndpointsConfig = await loadDefaultEndpointsConfig(req);
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const customConfigEndpoints = await loadConfigEndpoints(req);
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/** @type {TEndpointsConfig} */
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const mergedConfig = { ...defaultEndpointsConfig, ...customConfigEndpoints };
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if (mergedConfig[EModelEndpoint.assistants] && req.app.locals?.[EModelEndpoint.assistants]) {
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mergedConfig[EModelEndpoint.assistants].disableBuilder =
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req.app.locals[EModelEndpoint.assistants].disableBuilder;
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}
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const endpointsConfig = orderEndpointsConfig(mergedConfig);
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await cache.set(CacheKeys.ENDPOINT_CONFIG, endpointsConfig);
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res.send(JSON.stringify(endpointsConfig));
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}
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module.exports = endpointController;
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