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* fix: resolve group-scoped config overrides * test: fix endpoint config request mock typing * fix: keep remote agent preauth config tenant-scoped * test: align config scoping expectations * test: reproduce group endpoint override resolution
607 lines
18 KiB
JavaScript
607 lines
18 KiB
JavaScript
const { fetchModels } = require('@librechat/api');
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const loadConfigModels = require('./loadConfigModels');
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const { getAppConfig } = require('./app');
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jest.mock('@librechat/api', () => ({
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...jest.requireActual('@librechat/api'),
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fetchModels: jest.fn(),
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}));
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jest.mock('./app');
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jest.mock('@librechat/data-schemas', () => ({
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...jest.requireActual('@librechat/data-schemas'),
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logger: { debug: jest.fn(), error: jest.fn(), warn: jest.fn() },
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}));
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jest.mock('~/models', () => ({
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getUserKeyValues: jest.fn(),
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}));
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const exampleConfig = {
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endpoints: {
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custom: [
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{
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name: 'Mistral',
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apiKey: '${MY_PRECIOUS_MISTRAL_KEY}',
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baseURL: 'https://api.mistral.ai/v1',
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models: {
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default: ['mistral-tiny', 'mistral-small', 'mistral-medium', 'mistral-large-latest'],
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fetch: true,
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},
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dropParams: ['stop', 'user', 'frequency_penalty', 'presence_penalty'],
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},
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{
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name: 'OpenRouter',
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apiKey: '${MY_OPENROUTER_API_KEY}',
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baseURL: 'https://openrouter.ai/api/v1',
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models: {
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default: ['gpt-3.5-turbo'],
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fetch: true,
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},
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dropParams: ['stop'],
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},
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{
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name: 'groq',
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apiKey: 'user_provided',
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baseURL: 'https://api.groq.com/openai/v1/',
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models: {
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default: ['llama2-70b-4096', 'mixtral-8x7b-32768'],
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fetch: false,
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},
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},
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{
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name: 'Ollama',
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apiKey: 'user_provided',
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baseURL: 'http://localhost:11434/v1/',
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models: {
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default: ['mistral', 'llama2:13b'],
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fetch: false,
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},
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},
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{
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name: 'MLX',
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apiKey: 'user_provided',
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baseURL: 'http://localhost:8080/v1/',
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models: {
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default: ['Meta-Llama-3-8B-Instruct-4bit'],
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fetch: false,
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},
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},
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],
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},
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};
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describe('loadConfigModels', () => {
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const mockRequest = { user: { id: 'testUserId' } };
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const originalEnv = process.env;
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beforeEach(() => {
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jest.clearAllMocks();
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fetchModels.mockReset();
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require('~/models').getUserKeyValues.mockReset();
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process.env = { ...originalEnv };
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getAppConfig.mockResolvedValue({});
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});
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afterEach(() => {
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process.env = originalEnv;
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});
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it('should return an empty object if customConfig is null', async () => {
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getAppConfig.mockResolvedValue(null);
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const result = await loadConfigModels(mockRequest);
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expect(result).toEqual({});
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});
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it('passes userId when resolving scoped model config', async () => {
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getAppConfig.mockResolvedValue({});
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await loadConfigModels({
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user: { id: 'testUserId', role: 'USER', tenantId: 'tenant-a' },
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});
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expect(getAppConfig).toHaveBeenCalledWith({
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role: 'USER',
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userId: 'testUserId',
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tenantId: 'tenant-a',
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});
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});
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it('uses req.config when available instead of calling getAppConfig', async () => {
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const result = await loadConfigModels({
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user: { id: 'testUserId' },
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config: {
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endpoints: {
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custom: [
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{
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name: 'LocalOnly',
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apiKey: 'local-key',
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baseURL: 'https://example.com/v1',
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models: { default: ['local-model'], fetch: false },
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},
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],
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},
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},
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});
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expect(getAppConfig).not.toHaveBeenCalled();
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expect(result.LocalOnly).toEqual(['local-model']);
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});
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it('handles azure models and endpoint correctly', async () => {
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getAppConfig.mockResolvedValue({
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endpoints: {
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azureOpenAI: { modelNames: ['model1', 'model2'] },
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},
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});
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const result = await loadConfigModels(mockRequest);
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expect(result.azureOpenAI).toEqual(['model1', 'model2']);
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});
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it('fetches custom models based on the unique key', async () => {
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process.env.BASE_URL = 'http://example.com';
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process.env.API_KEY = 'some-api-key';
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const customEndpoints = [
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{
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baseURL: '${BASE_URL}',
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apiKey: '${API_KEY}',
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name: 'CustomModel',
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models: { fetch: true },
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},
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];
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getAppConfig.mockResolvedValue({ endpoints: { custom: customEndpoints } });
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fetchModels.mockResolvedValue(['customModel1', 'customModel2']);
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const result = await loadConfigModels(mockRequest);
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expect(fetchModels).toHaveBeenCalled();
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expect(result.CustomModel).toEqual(['customModel1', 'customModel2']);
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});
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it('correctly associates models to names using unique keys', async () => {
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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baseURL: 'http://example.com',
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apiKey: 'API_KEY1',
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name: 'Model1',
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models: { fetch: true },
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},
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{
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baseURL: 'http://example.com',
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apiKey: 'API_KEY2',
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name: 'Model2',
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models: { fetch: true },
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},
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],
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},
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});
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fetchModels.mockImplementation(({ apiKey }) =>
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Promise.resolve(apiKey === 'API_KEY1' ? ['model1Data'] : ['model2Data']),
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);
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const result = await loadConfigModels(mockRequest);
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expect(result.Model1).toEqual(['model1Data']);
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expect(result.Model2).toEqual(['model2Data']);
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});
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it('correctly handles multiple endpoints with the same baseURL but different apiKeys', async () => {
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// Mock the custom configuration to simulate the user's scenario
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'LiteLLM',
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apiKey: '${LITELLM_ALL_MODELS}',
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baseURL: '${LITELLM_HOST}',
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models: { fetch: true },
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},
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{
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name: 'OpenAI',
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apiKey: '${LITELLM_OPENAI_MODELS}',
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baseURL: '${LITELLM_SECOND_HOST}',
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models: { fetch: true },
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},
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{
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name: 'Google',
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apiKey: '${LITELLM_GOOGLE_MODELS}',
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baseURL: '${LITELLM_SECOND_HOST}',
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models: { fetch: true },
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},
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],
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},
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});
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// Mock `fetchModels` to return different models based on the apiKey
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fetchModels.mockImplementation(({ apiKey }) => {
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switch (apiKey) {
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case '${LITELLM_ALL_MODELS}':
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return Promise.resolve(['AllModel1', 'AllModel2']);
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case '${LITELLM_OPENAI_MODELS}':
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return Promise.resolve(['OpenAIModel']);
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case '${LITELLM_GOOGLE_MODELS}':
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return Promise.resolve(['GoogleModel']);
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default:
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return Promise.resolve([]);
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}
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});
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const result = await loadConfigModels(mockRequest);
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// Assert that the models are correctly fetched and mapped based on unique keys
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expect(result.LiteLLM).toEqual(['AllModel1', 'AllModel2']);
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expect(result.OpenAI).toEqual(['OpenAIModel']);
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expect(result.Google).toEqual(['GoogleModel']);
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// Ensure that fetchModels was called with correct parameters
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expect(fetchModels).toHaveBeenCalledTimes(3);
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({ apiKey: '${LITELLM_ALL_MODELS}' }),
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);
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({ apiKey: '${LITELLM_OPENAI_MODELS}' }),
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);
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({ apiKey: '${LITELLM_GOOGLE_MODELS}' }),
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);
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});
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it('loads models based on custom endpoint configuration respecting fetch rules', async () => {
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process.env.MY_PRECIOUS_MISTRAL_KEY = 'actual_mistral_api_key';
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process.env.MY_OPENROUTER_API_KEY = 'actual_openrouter_api_key';
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// Setup custom configuration with specific API keys for Mistral and OpenRouter
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// and "user_provided" for groq and Ollama, indicating no fetch for the latter two
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getAppConfig.mockResolvedValue(exampleConfig);
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// Assuming fetchModels would be called only for Mistral and OpenRouter
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fetchModels.mockImplementation(({ name }) => {
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switch (name) {
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case 'Mistral':
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return Promise.resolve([
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'mistral-tiny',
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'mistral-small',
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'mistral-medium',
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'mistral-large-latest',
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]);
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case 'OpenRouter':
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return Promise.resolve(['gpt-3.5-turbo']);
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default:
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return Promise.resolve([]);
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}
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});
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const result = await loadConfigModels(mockRequest);
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// Since fetch is true and apiKey is not "user_provided", fetching occurs for Mistral and OpenRouter
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expect(result.Mistral).toEqual([
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'mistral-tiny',
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'mistral-small',
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'mistral-medium',
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'mistral-large-latest',
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]);
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'Mistral',
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apiKey: process.env.MY_PRECIOUS_MISTRAL_KEY,
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}),
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);
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expect(result.OpenRouter).toEqual(['gpt-3.5-turbo']);
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'OpenRouter',
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apiKey: process.env.MY_OPENROUTER_API_KEY,
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}),
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);
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// For groq and ollama, since the apiKey is "user_provided", models should not be fetched
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// Depending on your implementation's behavior regarding "default" models without fetching,
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// you may need to adjust the following assertions:
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expect(result.groq).toEqual(exampleConfig.endpoints.custom[2].models.default);
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expect(result.ollama).toEqual(exampleConfig.endpoints.custom[3].models.default);
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// Verifying fetchModels was not called for groq and ollama
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'groq',
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}),
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);
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expect(fetchModels).not.toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'ollama',
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}),
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);
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});
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it('falls back to default models if fetching returns an empty array', async () => {
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'EndpointWithSameFetchKey',
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apiKey: 'API_KEY',
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baseURL: 'http://example.com',
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models: {
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fetch: true,
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default: ['defaultModel1'],
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},
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},
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{
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name: 'EmptyFetchModel',
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apiKey: 'API_KEY',
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baseURL: 'http://example.com',
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models: {
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fetch: true,
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default: ['defaultModel1', 'defaultModel2'],
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},
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},
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],
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},
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});
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fetchModels.mockResolvedValue([]);
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const result = await loadConfigModels(mockRequest);
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expect(fetchModels).toHaveBeenCalledTimes(1);
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expect(result.EmptyFetchModel).toEqual(['defaultModel1', 'defaultModel2']);
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});
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it('falls back to default models if fetching returns a falsy value', async () => {
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'FalsyFetchModel',
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apiKey: 'API_KEY',
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baseURL: 'http://example.com',
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models: {
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fetch: true,
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default: ['defaultModel1', 'defaultModel2'],
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},
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},
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],
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},
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});
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fetchModels.mockResolvedValue(false);
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const result = await loadConfigModels(mockRequest);
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({
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name: 'FalsyFetchModel',
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apiKey: 'API_KEY',
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}),
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);
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expect(result.FalsyFetchModel).toEqual(['defaultModel1', 'defaultModel2']);
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});
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describe('user-provided API key model fetching', () => {
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it('fetches models using user-provided API key when key is stored', async () => {
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const { getUserKeyValues } = require('~/models');
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getUserKeyValues.mockResolvedValueOnce({
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apiKey: 'sk-user-key',
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baseURL: 'https://api.x.com/v1',
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});
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'UserEndpoint',
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apiKey: 'user_provided',
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baseURL: 'user_provided',
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models: { fetch: true, default: ['fallback-model'] },
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},
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],
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},
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});
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fetchModels.mockResolvedValue(['fetched-model-a', 'fetched-model-b']);
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const result = await loadConfigModels(mockRequest);
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expect(getUserKeyValues).toHaveBeenCalledWith({ userId: 'testUserId', name: 'UserEndpoint' });
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expect(fetchModels).toHaveBeenCalledWith(
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expect.objectContaining({
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apiKey: 'sk-user-key',
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baseURL: 'https://api.x.com/v1',
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skipCache: true,
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}),
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);
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expect(result.UserEndpoint).toEqual(['fetched-model-a', 'fetched-model-b']);
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});
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it('falls back to defaults when getUserKeyValues returns no apiKey', async () => {
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const { getUserKeyValues } = require('~/models');
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getUserKeyValues.mockResolvedValueOnce({ baseURL: 'https://api.x.com/v1' });
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'NoKeyEndpoint',
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apiKey: 'user_provided',
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baseURL: 'https://api.x.com/v1',
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models: { fetch: true, default: ['default-model'] },
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},
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],
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},
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});
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const result = await loadConfigModels(mockRequest);
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expect(fetchModels).not.toHaveBeenCalled();
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expect(result.NoKeyEndpoint).toEqual(['default-model']);
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});
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it('falls back to defaults and logs warn when getUserKeyValues throws infra error', async () => {
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const { getUserKeyValues } = require('~/models');
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const { logger } = require('@librechat/data-schemas');
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getUserKeyValues.mockRejectedValueOnce(new Error('DB connection timeout'));
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'ErrorEndpoint',
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apiKey: 'user_provided',
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baseURL: 'https://api.example.com/v1',
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models: { fetch: true, default: ['fallback'] },
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},
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],
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},
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});
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const result = await loadConfigModels(mockRequest);
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expect(fetchModels).not.toHaveBeenCalled();
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expect(result.ErrorEndpoint).toEqual(['fallback']);
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expect(logger.warn).toHaveBeenCalledWith(
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expect.stringContaining(
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'Failed to retrieve user key for "ErrorEndpoint": DB connection timeout',
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),
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);
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expect(logger.debug).not.toHaveBeenCalledWith(expect.stringContaining('No user key stored'));
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});
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it('logs debug (not warn) for NO_USER_KEY errors', async () => {
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const { getUserKeyValues } = require('~/models');
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const { logger } = require('@librechat/data-schemas');
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getUserKeyValues.mockRejectedValueOnce(new Error(JSON.stringify({ type: 'no_user_key' })));
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'MissingKeyEndpoint',
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apiKey: 'user_provided',
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baseURL: 'https://api.example.com/v1',
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models: { fetch: true, default: ['default-model'] },
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},
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],
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},
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});
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const result = await loadConfigModels(mockRequest);
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expect(result.MissingKeyEndpoint).toEqual(['default-model']);
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expect(logger.debug).toHaveBeenCalledWith(expect.stringContaining('No user key stored'));
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expect(logger.warn).not.toHaveBeenCalledWith(
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expect.stringContaining('Failed to retrieve user key'),
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);
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});
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it('skips user key lookup when req.user.id is undefined', async () => {
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const { getUserKeyValues } = require('~/models');
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'NoUserEndpoint',
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apiKey: 'user_provided',
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baseURL: 'https://api.x.com/v1',
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models: { fetch: true, default: ['anon-model'] },
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},
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],
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},
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});
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const result = await loadConfigModels({ user: {} });
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expect(getUserKeyValues).not.toHaveBeenCalled();
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expect(result.NoUserEndpoint).toEqual(['anon-model']);
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});
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it('uses stored baseURL only when baseURL is user_provided', async () => {
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const { getUserKeyValues } = require('~/models');
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getUserKeyValues.mockResolvedValueOnce({ apiKey: 'sk-key' });
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getAppConfig.mockResolvedValue({
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endpoints: {
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custom: [
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{
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name: 'KeyOnly',
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apiKey: 'user_provided',
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|
baseURL: 'https://fixed-base.com/v1',
|
|
models: { fetch: true, default: ['default'] },
|
|
},
|
|
],
|
|
},
|
|
});
|
|
fetchModels.mockResolvedValue(['model-from-fixed-base']);
|
|
|
|
const result = await loadConfigModels(mockRequest);
|
|
|
|
expect(fetchModels).toHaveBeenCalledWith(
|
|
expect.objectContaining({
|
|
apiKey: 'sk-key',
|
|
baseURL: 'https://fixed-base.com/v1',
|
|
skipCache: true,
|
|
}),
|
|
);
|
|
expect(result.KeyOnly).toEqual(['model-from-fixed-base']);
|
|
});
|
|
});
|
|
|
|
it('normalizes Ollama endpoint name to lowercase', async () => {
|
|
const testCases = [
|
|
{
|
|
name: 'Ollama',
|
|
apiKey: 'user_provided',
|
|
baseURL: 'http://localhost:11434/v1/',
|
|
models: {
|
|
default: ['mistral', 'llama2'],
|
|
fetch: false,
|
|
},
|
|
},
|
|
{
|
|
name: 'OLLAMA',
|
|
apiKey: 'user_provided',
|
|
baseURL: 'http://localhost:11434/v1/',
|
|
models: {
|
|
default: ['mixtral', 'codellama'],
|
|
fetch: false,
|
|
},
|
|
},
|
|
{
|
|
name: 'OLLaMA',
|
|
apiKey: 'user_provided',
|
|
baseURL: 'http://localhost:11434/v1/',
|
|
models: {
|
|
default: ['phi', 'neural-chat'],
|
|
fetch: false,
|
|
},
|
|
},
|
|
];
|
|
|
|
getAppConfig.mockResolvedValue({
|
|
endpoints: {
|
|
custom: testCases,
|
|
},
|
|
});
|
|
|
|
const result = await loadConfigModels(mockRequest);
|
|
|
|
// All variations of "Ollama" should be normalized to lowercase "ollama"
|
|
// and the last config in the array should override previous ones
|
|
expect(result.Ollama).toBeUndefined();
|
|
expect(result.OLLAMA).toBeUndefined();
|
|
expect(result.OLLaMA).toBeUndefined();
|
|
expect(result.ollama).toEqual(['phi', 'neural-chat']);
|
|
|
|
// Verify fetchModels was not called since these are user_provided
|
|
expect(fetchModels).not.toHaveBeenCalledWith(
|
|
expect.objectContaining({
|
|
name: 'Ollama',
|
|
}),
|
|
);
|
|
expect(fetchModels).not.toHaveBeenCalledWith(
|
|
expect.objectContaining({
|
|
name: 'OLLAMA',
|
|
}),
|
|
);
|
|
expect(fetchModels).not.toHaveBeenCalledWith(
|
|
expect.objectContaining({
|
|
name: 'OLLaMA',
|
|
}),
|
|
);
|
|
});
|
|
});
|