LibreChat/api/server/services/Endpoints/custom/initialize.spec.js
Danny Avila 8a4a5a4790
🤖 feat: Agent Handoffs (Routing) (#10176)
* feat: Add support for agent handoffs with edges in agent forms and schemas

chore: Mark `agent_ids` field as deprecated in favor of edges across various schemas and types

chore: Update dependencies for @langchain/core and @librechat/agents to latest versions

chore: Update peer dependency for @librechat/agents to version 3.0.0-rc2 in package.json

chore: Update @librechat/agents dependency to version 3.0.0-rc3 in package.json and package-lock.json

feat: first pass, multi-agent handoffs

fix: update output type to ToolMessage in memory handling functions

fix: improve type checking for graphConfig in createRun function

refactor: remove unused content filtering logic in AgentClient

chore: update @librechat/agents dependency to version 3.0.0-rc4 in package.json and package-lock.json

fix: update @langchain/core peer dependency version to ^0.3.72 in package.json and package-lock.json

fix: update @librechat/agents dependency to version 3.0.0-rc6 in package.json and package-lock.json; refactor stream rate handling in various endpoints

feat: Agent handoff UI

chore: update @librechat/agents dependency to version 3.0.0-rc8 in package.json and package-lock.json

fix: improve hasInfo condition and adjust UI element classes in AgentHandoff component

refactor: remove current fixed agent display from AgentHandoffs component due to redundancy

feat: enhance AgentHandoffs UI with localized beta label and improved layout

chore: update @librechat/agents dependency to version 3.0.0-rc10 in package.json and package-lock.json

feat: add `createSequentialChainEdges` function to add back agent chaining via multi-agents

feat: update `createSequentialChainEdges` call to only provide conversation context between agents

feat: deprecate Agent Chain functionality and update related methods for improved clarity

* chore: update @librechat/agents dependency to version 3.0.0-rc11 in package.json and package-lock.json

* refactor: remove unused addCacheControl function and related imports and import from @librechat/agents

* chore: remove unused i18n keys

* refactor: remove unused format export from index.ts

* chore: update @librechat/agents to v3.0.0-rc13

* chore: remove BEDROCK_LEGACY provider from Providers enum

* chore: update @librechat/agents to version 3.0.2 in package.json
2025-11-05 17:15:17 -05:00

102 lines
3.2 KiB
JavaScript

const initializeClient = require('./initialize');
jest.mock('@librechat/api', () => ({
...jest.requireActual('@librechat/api'),
resolveHeaders: jest.fn(),
getOpenAIConfig: jest.fn(),
getCustomEndpointConfig: jest.fn().mockReturnValue({
apiKey: 'test-key',
baseURL: 'https://test.com',
headers: { 'x-user': '{{LIBRECHAT_USER_ID}}', 'x-email': '{{LIBRECHAT_USER_EMAIL}}' },
models: { default: ['test-model'] },
}),
}));
jest.mock('~/server/services/UserService', () => ({
getUserKeyValues: jest.fn(),
checkUserKeyExpiry: jest.fn(),
}));
// Config is now passed via req.config, not getAppConfig
jest.mock('~/server/services/ModelService', () => ({
fetchModels: jest.fn(),
}));
jest.mock('~/app/clients/OpenAIClient', () => {
return jest.fn().mockImplementation(() => ({
options: {},
}));
});
jest.mock('~/cache/getLogStores', () =>
jest.fn().mockReturnValue({
get: jest.fn(),
}),
);
describe('custom/initializeClient', () => {
const mockRequest = {
body: { endpoint: 'test-endpoint' },
user: { id: 'user-123', email: 'test@example.com', role: 'user' },
app: { locals: {} },
config: {
endpoints: {
all: {
streamRate: 25,
},
},
},
};
const mockResponse = {};
beforeEach(() => {
jest.clearAllMocks();
const { getCustomEndpointConfig, resolveHeaders, getOpenAIConfig } = require('@librechat/api');
getCustomEndpointConfig.mockReturnValue({
apiKey: 'test-key',
baseURL: 'https://test.com',
headers: { 'x-user': '{{LIBRECHAT_USER_ID}}', 'x-email': '{{LIBRECHAT_USER_EMAIL}}' },
models: { default: ['test-model'] },
});
resolveHeaders.mockReturnValue({ 'x-user': 'user-123', 'x-email': 'test@example.com' });
getOpenAIConfig.mockReturnValue({
useLegacyContent: true,
endpointTokenConfig: null,
llmConfig: {
callbacks: [],
},
});
});
it('calls resolveHeaders with headers, user, and body for body placeholder support', async () => {
const { resolveHeaders } = require('@librechat/api');
await initializeClient({ req: mockRequest, res: mockResponse, optionsOnly: true });
expect(resolveHeaders).toHaveBeenCalledWith({
headers: { 'x-user': '{{LIBRECHAT_USER_ID}}', 'x-email': '{{LIBRECHAT_USER_EMAIL}}' },
user: { id: 'user-123', email: 'test@example.com', role: 'user' },
/**
* Note: Request-based Header Resolution is deferred until right before LLM request is made
body: { endpoint: 'test-endpoint' }, // body - supports {{LIBRECHAT_BODY_*}} placeholders
*/
});
});
it('throws if endpoint config is missing', async () => {
const { getCustomEndpointConfig } = require('@librechat/api');
getCustomEndpointConfig.mockReturnValueOnce(null);
await expect(
initializeClient({ req: mockRequest, res: mockResponse, optionsOnly: true }),
).rejects.toThrow('Config not found for the test-endpoint custom endpoint.');
});
it('throws if user is missing', async () => {
await expect(
initializeClient({
req: { ...mockRequest, user: undefined },
res: mockResponse,
optionsOnly: true,
}),
).rejects.toThrow("Cannot read properties of undefined (reading 'id')");
});
});