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👤 feat: User ID in Model Query; chore: cleanup ModelService (#1753)
* feat: send the LibreChat user ID as a query param when fetching the list of models * chore: update bun * chore: change bun command for building data-provider * refactor: prefer use of `getCustomConfig` to access custom config, also move to `server/services/Config` * refactor: make endpoints/custom option for the config optional, add userIdQuery, and use modelQueries log store in ModelService * refactor(ModelService): use env variables at runtime, use default models from data-provider, and add tests * docs: add `userIdQuery` * fix(ci): import changed
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17 changed files with 339 additions and 83 deletions
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@ -11,13 +11,23 @@ const fitlerAssistantModels = (str) => {
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return /gpt-4|gpt-3\\.5/i.test(str) && !/vision|instruct/i.test(str);
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};
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async function loadDefaultModels() {
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/**
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* Loads the default models for the application.
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* @async
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* @function
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* @param {Express.Request} req - The Express request object.
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*/
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async function loadDefaultModels(req) {
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const google = getGoogleModels();
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const openAI = await getOpenAIModels();
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const openAI = await getOpenAIModels({ user: req.user.id });
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const anthropic = getAnthropicModels();
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const chatGPTBrowser = getChatGPTBrowserModels();
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const azureOpenAI = await getOpenAIModels({ azure: true });
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const gptPlugins = await getOpenAIModels({ azure: useAzurePlugins, plugins: true });
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const azureOpenAI = await getOpenAIModels({ user: req.user.id, azure: true });
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const gptPlugins = await getOpenAIModels({
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user: req.user.id,
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azure: useAzurePlugins,
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plugins: true,
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});
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return {
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[EModelEndpoint.openAI]: openAI,
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