LibreChat/api/server/controllers/agents/__tests__/responses.unit.spec.js
Danny Avila a6fb257bcf
📦 refactor: Consolidate DB models, encapsulating Mongoose usage in data-schemas (#11830)
* chore: move database model methods to /packages/data-schemas

* chore: add TypeScript ESLint rule to warn on unused variables

* refactor: model imports to streamline access

- Consolidated model imports across various files to improve code organization and reduce redundancy.
- Updated imports for models such as Assistant, Message, Conversation, and others to a unified import path.
- Adjusted middleware and service files to reflect the new import structure, ensuring functionality remains intact.
- Enhanced test files to align with the new import paths, maintaining test coverage and integrity.

* chore: migrate database models to packages/data-schemas and refactor all direct Mongoose Model usage outside of data-schemas

* test: update agent model mocks in unit tests

- Added `getAgent` mock to `client.test.js` to enhance test coverage for agent-related functionality.
- Removed redundant `getAgent` and `getAgents` mocks from `openai.spec.js` and `responses.unit.spec.js` to streamline test setup and reduce duplication.
- Ensured consistency in agent mock implementations across test files.

* fix: update types in data-schemas

* refactor: enhance type definitions in transaction and spending methods

- Updated type definitions in `checkBalance.ts` to use specific request and response types.
- Refined `spendTokens.ts` to utilize a new `SpendTxData` interface for better clarity and type safety.
- Improved transaction handling in `transaction.ts` by introducing `TransactionResult` and `TxData` interfaces, ensuring consistent data structures across methods.
- Adjusted unit tests in `transaction.spec.ts` to accommodate new type definitions and enhance robustness.

* refactor: streamline model imports and enhance code organization

- Consolidated model imports across various controllers and services to a unified import path, improving code clarity and reducing redundancy.
- Updated multiple files to reflect the new import structure, ensuring all functionalities remain intact.
- Enhanced overall code organization by removing duplicate import statements and optimizing the usage of model methods.

* feat: implement loadAddedAgent and refactor agent loading logic

- Introduced `loadAddedAgent` function to handle loading agents from added conversations, supporting multi-convo parallel execution.
- Created a new `load.ts` file to encapsulate agent loading functionalities, including `loadEphemeralAgent` and `loadAgent`.
- Updated the `index.ts` file to export the new `load` module instead of the deprecated `loadAgent`.
- Enhanced type definitions and improved error handling in the agent loading process.
- Adjusted unit tests to reflect changes in the agent loading structure and ensure comprehensive coverage.

* refactor: enhance balance handling with new update interface

- Introduced `IBalanceUpdate` interface to streamline balance update operations across the codebase.
- Updated `upsertBalanceFields` method signatures in `balance.ts`, `transaction.ts`, and related tests to utilize the new interface for improved type safety.
- Adjusted type imports in `balance.spec.ts` to include `IBalanceUpdate`, ensuring consistency in balance management functionalities.
- Enhanced overall code clarity and maintainability by refining type definitions related to balance operations.

* feat: add unit tests for loadAgent functionality and enhance agent loading logic

- Introduced comprehensive unit tests for the `loadAgent` function, covering various scenarios including null and empty agent IDs, loading of ephemeral agents, and permission checks.
- Enhanced the `initializeClient` function by moving `getConvoFiles` to the correct position in the database method exports, ensuring proper functionality.
- Improved test coverage for agent loading, including handling of non-existent agents and user permissions.

* chore: reorder memory method exports for consistency

- Moved `deleteAllUserMemories` to the correct position in the exported memory methods, ensuring a consistent and logical order of method exports in `memory.ts`.
2026-02-18 00:31:36 -05:00

297 lines
9.4 KiB
JavaScript

/**
* Unit tests for Open Responses API controller
* Tests that recordCollectedUsage is called correctly for token spending
*/
const mockSpendTokens = jest.fn().mockResolvedValue({});
const mockSpendStructuredTokens = jest.fn().mockResolvedValue({});
const mockRecordCollectedUsage = jest
.fn()
.mockResolvedValue({ input_tokens: 100, output_tokens: 50 });
const mockGetBalanceConfig = jest.fn().mockReturnValue({ enabled: true });
const mockGetTransactionsConfig = jest.fn().mockReturnValue({ enabled: true });
jest.mock('nanoid', () => ({
nanoid: jest.fn(() => 'mock-nanoid-123'),
}));
jest.mock('uuid', () => ({
v4: jest.fn(() => 'mock-uuid-456'),
}));
jest.mock('@librechat/data-schemas', () => ({
logger: {
debug: jest.fn(),
error: jest.fn(),
warn: jest.fn(),
},
}));
jest.mock('@librechat/agents', () => ({
Callback: { TOOL_ERROR: 'TOOL_ERROR' },
ToolEndHandler: jest.fn(),
formatAgentMessages: jest.fn().mockReturnValue({
messages: [],
indexTokenCountMap: {},
}),
}));
jest.mock('@librechat/api', () => ({
createRun: jest.fn().mockResolvedValue({
processStream: jest.fn().mockResolvedValue(undefined),
}),
buildToolSet: jest.fn().mockReturnValue(new Set()),
createSafeUser: jest.fn().mockReturnValue({ id: 'user-123' }),
initializeAgent: jest.fn().mockResolvedValue({
model: 'claude-3',
model_parameters: {},
toolRegistry: {},
}),
getBalanceConfig: mockGetBalanceConfig,
getTransactionsConfig: mockGetTransactionsConfig,
recordCollectedUsage: mockRecordCollectedUsage,
createToolExecuteHandler: jest.fn().mockReturnValue({ handle: jest.fn() }),
// Responses API
writeDone: jest.fn(),
buildResponse: jest.fn().mockReturnValue({ id: 'resp_123', output: [] }),
generateResponseId: jest.fn().mockReturnValue('resp_mock-123'),
isValidationFailure: jest.fn().mockReturnValue(false),
emitResponseCreated: jest.fn(),
createResponseContext: jest.fn().mockReturnValue({ responseId: 'resp_123' }),
createResponseTracker: jest.fn().mockReturnValue({
usage: { promptTokens: 100, completionTokens: 50 },
}),
setupStreamingResponse: jest.fn(),
emitResponseInProgress: jest.fn(),
convertInputToMessages: jest.fn().mockReturnValue([]),
validateResponseRequest: jest.fn().mockReturnValue({
request: { model: 'agent-123', input: 'Hello', stream: false },
}),
buildAggregatedResponse: jest.fn().mockReturnValue({
id: 'resp_123',
status: 'completed',
output: [],
usage: { input_tokens: 100, output_tokens: 50, total_tokens: 150 },
}),
createResponseAggregator: jest.fn().mockReturnValue({
usage: { promptTokens: 100, completionTokens: 50 },
}),
sendResponsesErrorResponse: jest.fn(),
createResponsesEventHandlers: jest.fn().mockReturnValue({
handlers: {
on_message_delta: { handle: jest.fn() },
on_reasoning_delta: { handle: jest.fn() },
on_run_step: { handle: jest.fn() },
on_run_step_delta: { handle: jest.fn() },
on_chat_model_end: { handle: jest.fn() },
},
finalizeStream: jest.fn(),
}),
createAggregatorEventHandlers: jest.fn().mockReturnValue({
on_message_delta: { handle: jest.fn() },
on_reasoning_delta: { handle: jest.fn() },
on_run_step: { handle: jest.fn() },
on_run_step_delta: { handle: jest.fn() },
on_chat_model_end: { handle: jest.fn() },
}),
}));
jest.mock('~/server/services/ToolService', () => ({
loadAgentTools: jest.fn().mockResolvedValue([]),
loadToolsForExecution: jest.fn().mockResolvedValue([]),
}));
jest.mock('~/server/controllers/agents/callbacks', () => ({
createToolEndCallback: jest.fn().mockReturnValue(jest.fn()),
createResponsesToolEndCallback: jest.fn().mockReturnValue(jest.fn()),
}));
jest.mock('~/server/services/PermissionService', () => ({
findAccessibleResources: jest.fn().mockResolvedValue([]),
}));
jest.mock('~/models', () => ({
getAgent: jest.fn().mockResolvedValue({ id: 'agent-123', name: 'Test Agent' }),
getFiles: jest.fn(),
getUserKey: jest.fn(),
getMessages: jest.fn().mockResolvedValue([]),
saveMessage: jest.fn().mockResolvedValue({}),
updateFilesUsage: jest.fn(),
getUserKeyValues: jest.fn(),
getUserCodeFiles: jest.fn(),
getToolFilesByIds: jest.fn(),
getCodeGeneratedFiles: jest.fn(),
spendTokens: mockSpendTokens,
spendStructuredTokens: mockSpendStructuredTokens,
getConvoFiles: jest.fn().mockResolvedValue([]),
saveConvo: jest.fn().mockResolvedValue({}),
getConvo: jest.fn().mockResolvedValue(null),
}));
describe('createResponse controller', () => {
let createResponse;
let req, res;
beforeEach(() => {
jest.clearAllMocks();
const controller = require('../responses');
createResponse = controller.createResponse;
req = {
body: {
model: 'agent-123',
input: 'Hello',
stream: false,
},
user: { id: 'user-123' },
config: {
endpoints: {
agents: { allowedProviders: ['anthropic'] },
},
},
on: jest.fn(),
};
res = {
status: jest.fn().mockReturnThis(),
json: jest.fn(),
setHeader: jest.fn(),
flushHeaders: jest.fn(),
end: jest.fn(),
write: jest.fn(),
};
});
describe('token usage recording - non-streaming', () => {
it('should call recordCollectedUsage after successful non-streaming completion', async () => {
await createResponse(req, res);
expect(mockRecordCollectedUsage).toHaveBeenCalledTimes(1);
expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
{ spendTokens: mockSpendTokens, spendStructuredTokens: mockSpendStructuredTokens },
expect.objectContaining({
user: 'user-123',
conversationId: expect.any(String),
collectedUsage: expect.any(Array),
context: 'message',
}),
);
});
it('should pass balance and transactions config to recordCollectedUsage', async () => {
mockGetBalanceConfig.mockReturnValue({ enabled: true, startBalance: 2000 });
mockGetTransactionsConfig.mockReturnValue({ enabled: true });
await createResponse(req, res);
expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
expect.any(Object),
expect.objectContaining({
balance: { enabled: true, startBalance: 2000 },
transactions: { enabled: true },
}),
);
});
it('should pass spendTokens and spendStructuredTokens as dependencies', async () => {
await createResponse(req, res);
const [deps] = mockRecordCollectedUsage.mock.calls[0];
expect(deps).toHaveProperty('spendTokens', mockSpendTokens);
expect(deps).toHaveProperty('spendStructuredTokens', mockSpendStructuredTokens);
});
it('should include model from primaryConfig in recordCollectedUsage params', async () => {
await createResponse(req, res);
expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
expect.any(Object),
expect.objectContaining({
model: 'claude-3',
}),
);
});
});
describe('token usage recording - streaming', () => {
beforeEach(() => {
req.body.stream = true;
const api = require('@librechat/api');
api.validateResponseRequest.mockReturnValue({
request: { model: 'agent-123', input: 'Hello', stream: true },
});
});
it('should call recordCollectedUsage after successful streaming completion', async () => {
await createResponse(req, res);
expect(mockRecordCollectedUsage).toHaveBeenCalledTimes(1);
expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
{ spendTokens: mockSpendTokens, spendStructuredTokens: mockSpendStructuredTokens },
expect.objectContaining({
user: 'user-123',
context: 'message',
}),
);
});
});
describe('collectedUsage population', () => {
it('should collect usage from on_chat_model_end events', async () => {
const api = require('@librechat/api');
let capturedOnChatModelEnd;
api.createAggregatorEventHandlers.mockImplementation(() => {
return {
on_message_delta: { handle: jest.fn() },
on_reasoning_delta: { handle: jest.fn() },
on_run_step: { handle: jest.fn() },
on_run_step_delta: { handle: jest.fn() },
on_chat_model_end: {
handle: jest.fn((event, data) => {
if (capturedOnChatModelEnd) {
capturedOnChatModelEnd(event, data);
}
}),
},
};
});
api.createRun.mockImplementation(async ({ customHandlers }) => {
capturedOnChatModelEnd = (event, data) => {
customHandlers.on_chat_model_end.handle(event, data);
};
return {
processStream: jest.fn().mockImplementation(async () => {
customHandlers.on_chat_model_end.handle('on_chat_model_end', {
output: {
usage_metadata: {
input_tokens: 150,
output_tokens: 75,
model: 'claude-3',
},
},
});
}),
};
});
await createResponse(req, res);
expect(mockRecordCollectedUsage).toHaveBeenCalledWith(
expect.any(Object),
expect.objectContaining({
collectedUsage: expect.arrayContaining([
expect.objectContaining({
input_tokens: 150,
output_tokens: 75,
}),
]),
}),
);
});
});
});