refactor: move tokens.js over to packages/api and update imports

api/app/clients/AnthropicClient.js

@@ -10,7 +10,14 @@ const {
   validateVisionModel,
 } = require('librechat-data-provider');
 const { SplitStreamHandler: _Handler } = require('@librechat/agents');
-const { Tokenizer, createFetch, createStreamEventHandlers } = require('@librechat/api');
+const {
+  Tokenizer,
+  createFetch,
+  matchModelName,
+  getModelMaxTokens,
+  getModelMaxOutputTokens,
+  createStreamEventHandlers,
+} = require('@librechat/api');
 const {
   truncateText,
   formatMessage,
@@ -24,7 +31,6 @@ const {
   configureReasoning,
   checkPromptCacheSupport,
 } = require('~/server/services/Endpoints/anthropic/helpers');
-const { getModelMaxTokens, getModelMaxOutputTokens, matchModelName } = require('~/utils');
 const { spendTokens, spendStructuredTokens } = require('~/models/spendTokens');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
 const { sleep } = require('~/server/utils');

api/app/clients/GoogleClient.js

@@ -1,4 +1,5 @@
 const { google } = require('googleapis');
+const { getModelMaxTokens } = require('@librechat/api');
 const { concat } = require('@langchain/core/utils/stream');
 const { ChatVertexAI } = require('@langchain/google-vertexai');
 const { Tokenizer, getSafetySettings } = require('@librechat/api');
@@ -21,7 +22,6 @@ const {
 } = require('librechat-data-provider');
 const { encodeAndFormat } = require('~/server/services/Files/images');
 const { spendTokens } = require('~/models/spendTokens');
-const { getModelMaxTokens } = require('~/utils');
 const { sleep } = require('~/server/utils');
 const { logger } = require('~/config');
 const {

api/app/clients/OpenAIClient.js

@@ -7,7 +7,9 @@ const {
   createFetch,
   resolveHeaders,
   constructAzureURL,
+  getModelMaxTokens,
   genAzureChatCompletion,
+  getModelMaxOutputTokens,
   createStreamEventHandlers,
 } = require('@librechat/api');
 const {
@@ -31,13 +33,13 @@ const {
   titleInstruction,
   createContextHandlers,
 } = require('./prompts');
-const { extractBaseURL, getModelMaxTokens, getModelMaxOutputTokens } = require('~/utils');
 const { encodeAndFormat } = require('~/server/services/Files/images/encode');
 const { addSpaceIfNeeded, sleep } = require('~/server/utils');
 const { spendTokens } = require('~/models/spendTokens');
 const { handleOpenAIErrors } = require('./tools/util');
 const { summaryBuffer } = require('./memory');
 const { runTitleChain } = require('./chains');
+const { extractBaseURL } = require('~/utils');
 const { tokenSplit } = require('./document');
 const BaseClient = require('./BaseClient');
 const { createLLM } = require('./llm');

api/app/clients/specs/FakeClient.js

@@ -1,5 +1,5 @@
+const { getModelMaxTokens } = require('@librechat/api');
 const BaseClient = require('../BaseClient');
-const { getModelMaxTokens } = require('../../../utils');
 
 class FakeClient extends BaseClient {
   constructor(apiKey, options = {}) {

api/models/tx.js

@@ -1,4 +1,4 @@
-const { matchModelName } = require('../utils/tokens');
+const { matchModelName } = require('@librechat/api');
 const defaultRate = 6;
 
 /**

api/server/controllers/assistants/chatV1.js

@@ -1,7 +1,7 @@
 const { v4 } = require('uuid');
 const { sleep } = require('@librechat/agents');
 const { logger } = require('@librechat/data-schemas');
-const { sendEvent, getBalanceConfig } = require('@librechat/api');
+const { sendEvent, getBalanceConfig, getModelMaxTokens } = require('@librechat/api');
 const {
   Time,
   Constants,
@@ -34,7 +34,6 @@ const { checkBalance } = require('~/models/balanceMethods');
 const { getConvo } = require('~/models/Conversation');
 const getLogStores = require('~/cache/getLogStores');
 const { countTokens } = require('~/server/utils');
-const { getModelMaxTokens } = require('~/utils');
 const { getOpenAIClient } = require('./helpers');
 
 /**

api/server/controllers/assistants/chatV2.js

@@ -1,7 +1,7 @@
 const { v4 } = require('uuid');
 const { sleep } = require('@librechat/agents');
 const { logger } = require('@librechat/data-schemas');
-const { sendEvent, getBalanceConfig } = require('@librechat/api');
+const { sendEvent, getBalanceConfig, getModelMaxTokens } = require('@librechat/api');
 const {
   Time,
   Constants,
@@ -31,7 +31,6 @@ const { checkBalance } = require('~/models/balanceMethods');
 const { getConvo } = require('~/models/Conversation');
 const getLogStores = require('~/cache/getLogStores');
 const { countTokens } = require('~/server/utils');
-const { getModelMaxTokens } = require('~/utils');
 const { getOpenAIClient } = require('./helpers');
 
 /**

api/server/services/Endpoints/agents/agent.js

@@ -1,6 +1,7 @@
 const { Providers } = require('@librechat/agents');
 const {
   primeResources,
+  getModelMaxTokens,
   extractLibreChatParams,
   optionalChainWithEmptyCheck,
 } = require('@librechat/api');
@@ -17,7 +18,6 @@ const { getProviderConfig } = require('~/server/services/Endpoints');
 const { processFiles } = require('~/server/services/Files/process');
 const { getFiles, getToolFilesByIds } = require('~/models/File');
 const { getConvoFiles } = require('~/models/Conversation');
-const { getModelMaxTokens } = require('~/utils');
 
 /**
  * @param {object} params

api/server/services/Endpoints/anthropic/helpers.js

@@ -1,5 +1,5 @@
+const { matchModelName } = require('@librechat/api');
 const { EModelEndpoint, anthropicSettings } = require('librechat-data-provider');
-const { matchModelName } = require('~/utils');
 const { logger } = require('~/config');
 
 /**

api/server/services/Endpoints/bedrock/initialize.js

@@ -1,3 +1,4 @@
+const { getModelMaxTokens } = require('@librechat/api');
 const { createContentAggregator } = require('@librechat/agents');
 const {
   EModelEndpoint,
@@ -7,7 +8,6 @@ const {
 const { getDefaultHandlers } = require('~/server/controllers/agents/callbacks');
 const getOptions = require('~/server/services/Endpoints/bedrock/options');
 const AgentClient = require('~/server/controllers/agents/client');
-const { getModelMaxTokens } = require('~/utils');
 
 const initializeClient = async ({ req, res, endpointOption }) => {
   if (!endpointOption) {

api/server/services/ModelService.js

@@ -1,13 +1,13 @@
 const axios = require('axios');
 const { Providers } = require('@librechat/agents');
-const { logAxiosError } = require('@librechat/api');
 const { logger } = require('@librechat/data-schemas');
 const { HttpsProxyAgent } = require('https-proxy-agent');
+const { logAxiosError, inputSchema, processModelData } = require('@librechat/api');
 const { EModelEndpoint, defaultModels, CacheKeys } = require('librechat-data-provider');
-const { inputSchema, extractBaseURL, processModelData } = require('~/utils');
 const { OllamaClient } = require('~/app/clients/OllamaClient');
 const { isUserProvided } = require('~/server/utils');
 const getLogStores = require('~/cache/getLogStores');
+const { extractBaseURL } = require('~/utils');
 
 /**
  * Splits a string by commas and trims each resulting value.

api/server/services/ModelService.spec.js

@@ -11,8 +11,8 @@ const {
   getAnthropicModels,
 } = require('./ModelService');
 
-jest.mock('~/utils', () => {
+jest.mock('@librechat/api', () => {
-  const originalUtils = jest.requireActual('~/utils');
+  const originalUtils = jest.requireActual('@librechat/api');
   return {
     ...originalUtils,
     processModelData: jest.fn((...args) => {
@@ -108,7 +108,7 @@ describe('fetchModels with createTokenConfig true', () => {
 
   beforeEach(() => {
     // Clears the mock's history before each test
-    const _utils = require('~/utils');
+    const _utils = require('@librechat/api');
     axios.get.mockResolvedValue({ data });
   });
 
@@ -120,7 +120,7 @@ describe('fetchModels with createTokenConfig true', () => {
       createTokenConfig: true,
     });
 
-    const { processModelData } = require('~/utils');
+    const { processModelData } = require('@librechat/api');
     expect(processModelData).toHaveBeenCalled();
     expect(processModelData).toHaveBeenCalledWith(data);
   });

api/utils/deriveBaseURL.spec.js

@@ -1,7 +1,7 @@
 const axios = require('axios');
 const deriveBaseURL = require('./deriveBaseURL');
-jest.mock('~/utils', () => {
+jest.mock('@librechat/api', () => {
-  const originalUtils = jest.requireActual('~/utils');
+  const originalUtils = jest.requireActual('@librechat/api');
   return {
     ...originalUtils,
     processModelData: jest.fn((...args) => {

api/utils/index.js

@@ -1,4 +1,3 @@
-const tokenHelpers = require('./tokens');
 const deriveBaseURL = require('./deriveBaseURL');
 const extractBaseURL = require('./extractBaseURL');
 const findMessageContent = require('./findMessageContent');
@@ -6,6 +5,5 @@ const findMessageContent = require('./findMessageContent');
 module.exports = {
   deriveBaseURL,
   extractBaseURL,
-  ...tokenHelpers,
   findMessageContent,
 };

api/utils/tokens.spec.js

@@ -1,12 +1,12 @@
 const { EModelEndpoint } = require('librechat-data-provider');
 const {
+  maxTokensMap,
+  matchModelName,
+  processModelData,
+  getModelMaxTokens,
   maxOutputTokensMap,
   findMatchingPattern,
-  getModelMaxTokens,
+} = require('@librechat/api');
-  processModelData,
-  matchModelName,
-  maxTokensMap,
-} = require('./tokens');
 
 describe('getModelMaxTokens', () => {
   test('should return correct tokens for exact match', () => {
@@ -394,7 +394,7 @@ describe('getModelMaxTokens', () => {
   });
 
   test('should return correct max output tokens for GPT-5 models', () => {
-    const { getModelMaxOutputTokens } = require('./tokens');
+    const { getModelMaxOutputTokens } = require('@librechat/api');
     ['gpt-5', 'gpt-5-mini', 'gpt-5-nano'].forEach((model) => {
       expect(getModelMaxOutputTokens(model)).toBe(maxOutputTokensMap[EModelEndpoint.openAI][model]);
       expect(getModelMaxOutputTokens(model, EModelEndpoint.openAI)).toBe(
@@ -407,7 +407,7 @@ describe('getModelMaxTokens', () => {
   });
 
   test('should return correct max output tokens for GPT-OSS models', () => {
-    const { getModelMaxOutputTokens } = require('./tokens');
+    const { getModelMaxOutputTokens } = require('@librechat/api');
     ['gpt-oss-20b', 'gpt-oss-120b'].forEach((model) => {
       expect(getModelMaxOutputTokens(model)).toBe(maxOutputTokensMap[EModelEndpoint.openAI][model]);
       expect(getModelMaxOutputTokens(model, EModelEndpoint.openAI)).toBe(

packages/api/src/utils/index.ts

@@ -15,3 +15,4 @@ export * from './text';
 export { default as Tokenizer } from './tokenizer';
 export * from './yaml';
 export * from './http';
+export * from './tokens';

packages/api/src/utils/tokens.js

@@ -1,5 +1,5 @@
-const z = require('zod');
+import z from 'zod';
-const { EModelEndpoint } = require('librechat-data-provider');
+import { EModelEndpoint } from 'librechat-data-provider';
 
 const openAIModels = {
   'o4-mini': 200000,
@@ -478,15 +478,15 @@ const tiktokenModels = new Set([
   'gpt-3.5-turbo-0301',
 ]);
 
-module.exports = {
+export {
   inputSchema,
   modelSchema,
   maxTokensMap,
   tiktokenModels,
-  maxOutputTokensMap,
   matchModelName,
   processModelData,
   getModelMaxTokens,
+  maxOutputTokensMap,
   getModelTokenValue,
   findMatchingPattern,
   getModelMaxOutputTokens,