mirror of
https://github.com/danny-avila/LibreChat.git
synced 2026-04-07 00:15:23 +02:00
Merge branch 'main' into style/clean-copied-text
This commit is contained in:
commit
f496f27226
17 changed files with 433 additions and 181 deletions
|
|
@ -173,6 +173,9 @@ const tokenValues = Object.assign(
|
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'grok-3-mini': { prompt: 0.3, completion: 0.5 },
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'grok-3-mini-fast': { prompt: 0.6, completion: 4 },
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'grok-4': { prompt: 3.0, completion: 15.0 },
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'grok-4-fast': { prompt: 0.2, completion: 0.5 },
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'grok-4-1-fast': { prompt: 0.2, completion: 0.5 }, // covers reasoning & non-reasoning variants
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'grok-code-fast': { prompt: 0.2, completion: 1.5 },
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codestral: { prompt: 0.3, completion: 0.9 },
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'ministral-3b': { prompt: 0.04, completion: 0.04 },
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'ministral-8b': { prompt: 0.1, completion: 0.1 },
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|
|
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|
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@ -1205,6 +1205,39 @@ describe('Grok Model Tests - Pricing', () => {
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|||
);
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});
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test('should return correct prompt and completion rates for Grok 4 Fast model', () => {
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expect(getMultiplier({ model: 'grok-4-fast', tokenType: 'prompt' })).toBe(
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tokenValues['grok-4-fast'].prompt,
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);
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expect(getMultiplier({ model: 'grok-4-fast', tokenType: 'completion' })).toBe(
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tokenValues['grok-4-fast'].completion,
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);
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});
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test('should return correct prompt and completion rates for Grok 4.1 Fast models', () => {
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expect(getMultiplier({ model: 'grok-4-1-fast-reasoning', tokenType: 'prompt' })).toBe(
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tokenValues['grok-4-1-fast'].prompt,
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);
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expect(getMultiplier({ model: 'grok-4-1-fast-reasoning', tokenType: 'completion' })).toBe(
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tokenValues['grok-4-1-fast'].completion,
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);
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expect(getMultiplier({ model: 'grok-4-1-fast-non-reasoning', tokenType: 'prompt' })).toBe(
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tokenValues['grok-4-1-fast'].prompt,
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);
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expect(getMultiplier({ model: 'grok-4-1-fast-non-reasoning', tokenType: 'completion' })).toBe(
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tokenValues['grok-4-1-fast'].completion,
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);
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});
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test('should return correct prompt and completion rates for Grok Code Fast model', () => {
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expect(getMultiplier({ model: 'grok-code-fast-1', tokenType: 'prompt' })).toBe(
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tokenValues['grok-code-fast'].prompt,
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);
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expect(getMultiplier({ model: 'grok-code-fast-1', tokenType: 'completion' })).toBe(
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tokenValues['grok-code-fast'].completion,
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);
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});
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test('should return correct prompt and completion rates for Grok 3 models with prefixes', () => {
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expect(getMultiplier({ model: 'xai/grok-3', tokenType: 'prompt' })).toBe(
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tokenValues['grok-3'].prompt,
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|
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@ -1240,6 +1273,39 @@ describe('Grok Model Tests - Pricing', () => {
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tokenValues['grok-4'].completion,
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);
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});
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test('should return correct prompt and completion rates for Grok 4 Fast model with prefixes', () => {
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expect(getMultiplier({ model: 'xai/grok-4-fast', tokenType: 'prompt' })).toBe(
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tokenValues['grok-4-fast'].prompt,
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);
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expect(getMultiplier({ model: 'xai/grok-4-fast', tokenType: 'completion' })).toBe(
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tokenValues['grok-4-fast'].completion,
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);
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});
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test('should return correct prompt and completion rates for Grok 4.1 Fast models with prefixes', () => {
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expect(getMultiplier({ model: 'xai/grok-4-1-fast-reasoning', tokenType: 'prompt' })).toBe(
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tokenValues['grok-4-1-fast'].prompt,
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);
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expect(getMultiplier({ model: 'xai/grok-4-1-fast-reasoning', tokenType: 'completion' })).toBe(
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tokenValues['grok-4-1-fast'].completion,
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);
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expect(getMultiplier({ model: 'xai/grok-4-1-fast-non-reasoning', tokenType: 'prompt' })).toBe(
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tokenValues['grok-4-1-fast'].prompt,
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);
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expect(
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getMultiplier({ model: 'xai/grok-4-1-fast-non-reasoning', tokenType: 'completion' }),
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).toBe(tokenValues['grok-4-1-fast'].completion);
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});
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test('should return correct prompt and completion rates for Grok Code Fast model with prefixes', () => {
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expect(getMultiplier({ model: 'xai/grok-code-fast-1', tokenType: 'prompt' })).toBe(
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tokenValues['grok-code-fast'].prompt,
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);
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expect(getMultiplier({ model: 'xai/grok-code-fast-1', tokenType: 'completion' })).toBe(
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tokenValues['grok-code-fast'].completion,
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);
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});
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});
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});
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|
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|
|
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|
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@ -47,7 +47,7 @@
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"@langchain/google-genai": "^0.2.13",
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"@langchain/google-vertexai": "^0.2.13",
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"@langchain/textsplitters": "^0.1.0",
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"@librechat/agents": "^3.0.33",
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"@librechat/agents": "^3.0.34",
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"@librechat/api": "*",
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"@librechat/data-schemas": "*",
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"@microsoft/microsoft-graph-client": "^3.0.7",
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|
|
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@ -1,5 +1,6 @@
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const OpenAI = require('openai');
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const { ProxyAgent } = require('undici');
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const { isUserProvided } = require('@librechat/api');
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const { ErrorTypes, EModelEndpoint } = require('librechat-data-provider');
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const {
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getUserKeyValues,
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@ -7,7 +8,6 @@ const {
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checkUserKeyExpiry,
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} = require('~/server/services/UserService');
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const OAIClient = require('~/app/clients/OpenAIClient');
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const { isUserProvided } = require('~/server/utils');
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const initializeClient = async ({ req, res, endpointOption, version, initAppClient = false }) => {
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const { PROXY, OPENAI_ORGANIZATION, ASSISTANTS_API_KEY, ASSISTANTS_BASE_URL } = process.env;
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|
|
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@ -12,14 +12,13 @@ const initGoogle = require('~/server/services/Endpoints/google/initialize');
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* @returns {boolean} - True if the provider is a known custom provider, false otherwise
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*/
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function isKnownCustomProvider(provider) {
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return [Providers.XAI, Providers.OLLAMA, Providers.DEEPSEEK, Providers.OPENROUTER].includes(
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return [Providers.XAI, Providers.DEEPSEEK, Providers.OPENROUTER].includes(
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provider?.toLowerCase() || '',
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);
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}
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const providerConfigMap = {
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[Providers.XAI]: initCustom,
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[Providers.OLLAMA]: initCustom,
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[Providers.DEEPSEEK]: initCustom,
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[Providers.OPENROUTER]: initCustom,
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[EModelEndpoint.openAI]: initOpenAI,
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|
|
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@ -1,11 +1,14 @@
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const axios = require('axios');
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const { Providers } = require('@librechat/agents');
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const { logger } = require('@librechat/data-schemas');
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const { HttpsProxyAgent } = require('https-proxy-agent');
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const { logAxiosError, inputSchema, processModelData } = require('@librechat/api');
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const { EModelEndpoint, defaultModels, CacheKeys } = require('librechat-data-provider');
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const { logAxiosError, inputSchema, processModelData, isUserProvided } = require('@librechat/api');
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const {
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CacheKeys,
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defaultModels,
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KnownEndpoints,
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EModelEndpoint,
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} = require('librechat-data-provider');
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const { OllamaClient } = require('~/app/clients/OllamaClient');
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const { isUserProvided } = require('~/server/utils');
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const getLogStores = require('~/cache/getLogStores');
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const { extractBaseURL } = require('~/utils');
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@ -68,7 +71,7 @@ const fetchModels = async ({
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return models;
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}
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if (name && name.toLowerCase().startsWith(Providers.OLLAMA)) {
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if (name && name.toLowerCase().startsWith(KnownEndpoints.ollama)) {
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||||
try {
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return await OllamaClient.fetchModels(baseURL, { headers, user: userObject });
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} catch (ollamaError) {
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|
|
@ -103,7 +106,7 @@ const fetchModels = async ({
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options.headers['OpenAI-Organization'] = process.env.OPENAI_ORGANIZATION;
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}
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const url = new URL(`${baseURL}${azure ? '' : '/models'}`);
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const url = new URL(`${baseURL.replace(/\/+$/, '')}${azure ? '' : '/models'}`);
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if (user && userIdQuery) {
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url.searchParams.append('user', user);
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}
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|
|
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|
|
@ -436,6 +436,68 @@ describe('fetchModels with Ollama specific logic', () => {
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});
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});
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describe('fetchModels URL construction with trailing slashes', () => {
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beforeEach(() => {
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axios.get.mockResolvedValue({
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data: {
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data: [{ id: 'model-1' }, { id: 'model-2' }],
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},
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});
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||||
});
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afterEach(() => {
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jest.clearAllMocks();
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});
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it('should not create double slashes when baseURL has a trailing slash', async () => {
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await fetchModels({
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user: 'user123',
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apiKey: 'testApiKey',
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baseURL: 'https://api.test.com/v1/',
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name: 'TestAPI',
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});
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expect(axios.get).toHaveBeenCalledWith('https://api.test.com/v1/models', expect.any(Object));
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});
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it('should handle baseURL without trailing slash normally', async () => {
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await fetchModels({
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user: 'user123',
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apiKey: 'testApiKey',
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baseURL: 'https://api.test.com/v1',
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name: 'TestAPI',
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||||
});
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||||
|
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expect(axios.get).toHaveBeenCalledWith('https://api.test.com/v1/models', expect.any(Object));
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});
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it('should handle baseURL with multiple trailing slashes', async () => {
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await fetchModels({
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user: 'user123',
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apiKey: 'testApiKey',
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baseURL: 'https://api.test.com/v1///',
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name: 'TestAPI',
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||||
});
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|
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expect(axios.get).toHaveBeenCalledWith('https://api.test.com/v1/models', expect.any(Object));
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||||
});
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|
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it('should correctly append query params after stripping trailing slashes', async () => {
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await fetchModels({
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user: 'user123',
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apiKey: 'testApiKey',
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baseURL: 'https://api.test.com/v1/',
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name: 'TestAPI',
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userIdQuery: true,
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||||
});
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|
||||
expect(axios.get).toHaveBeenCalledWith(
|
||||
'https://api.test.com/v1/models?user=user123',
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expect.any(Object),
|
||||
);
|
||||
});
|
||||
});
|
||||
|
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describe('splitAndTrim', () => {
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it('should split a string by commas and trim each value', () => {
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const input = ' model1, model2 , model3,model4 ';
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|
|
|
|||
|
|
@ -778,6 +778,16 @@ describe('Grok Model Tests - Tokens', () => {
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expect(getModelMaxTokens('grok-4-0709')).toBe(256000);
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||||
});
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|
||||
test('should return correct tokens for Grok 4 Fast and Grok 4.1 Fast models', () => {
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expect(getModelMaxTokens('grok-4-fast')).toBe(2000000);
|
||||
expect(getModelMaxTokens('grok-4-1-fast-reasoning')).toBe(2000000);
|
||||
expect(getModelMaxTokens('grok-4-1-fast-non-reasoning')).toBe(2000000);
|
||||
});
|
||||
|
||||
test('should return correct tokens for Grok Code Fast model', () => {
|
||||
expect(getModelMaxTokens('grok-code-fast-1')).toBe(256000);
|
||||
});
|
||||
|
||||
test('should handle partial matches for Grok models with prefixes', () => {
|
||||
// Vision models should match before general models
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||||
expect(getModelMaxTokens('xai/grok-2-vision-1212')).toBe(32768);
|
||||
|
|
@ -797,6 +807,12 @@ describe('Grok Model Tests - Tokens', () => {
|
|||
expect(getModelMaxTokens('xai/grok-3-mini-fast')).toBe(131072);
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// Grok 4 model
|
||||
expect(getModelMaxTokens('xai/grok-4-0709')).toBe(256000);
|
||||
// Grok 4 Fast and 4.1 Fast models
|
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expect(getModelMaxTokens('xai/grok-4-fast')).toBe(2000000);
|
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expect(getModelMaxTokens('xai/grok-4-1-fast-reasoning')).toBe(2000000);
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expect(getModelMaxTokens('xai/grok-4-1-fast-non-reasoning')).toBe(2000000);
|
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// Grok Code Fast model
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||||
expect(getModelMaxTokens('xai/grok-code-fast-1')).toBe(256000);
|
||||
});
|
||||
});
|
||||
|
||||
|
|
@ -820,6 +836,12 @@ describe('Grok Model Tests - Tokens', () => {
|
|||
expect(matchModelName('grok-3-mini-fast')).toBe('grok-3-mini-fast');
|
||||
// Grok 4 model
|
||||
expect(matchModelName('grok-4-0709')).toBe('grok-4');
|
||||
// Grok 4 Fast and 4.1 Fast models
|
||||
expect(matchModelName('grok-4-fast')).toBe('grok-4-fast');
|
||||
expect(matchModelName('grok-4-1-fast-reasoning')).toBe('grok-4-1-fast');
|
||||
expect(matchModelName('grok-4-1-fast-non-reasoning')).toBe('grok-4-1-fast');
|
||||
// Grok Code Fast model
|
||||
expect(matchModelName('grok-code-fast-1')).toBe('grok-code-fast');
|
||||
});
|
||||
|
||||
test('should match Grok model variations with prefixes', () => {
|
||||
|
|
@ -841,6 +863,12 @@ describe('Grok Model Tests - Tokens', () => {
|
|||
expect(matchModelName('xai/grok-3-mini-fast')).toBe('grok-3-mini-fast');
|
||||
// Grok 4 model
|
||||
expect(matchModelName('xai/grok-4-0709')).toBe('grok-4');
|
||||
// Grok 4 Fast and 4.1 Fast models
|
||||
expect(matchModelName('xai/grok-4-fast')).toBe('grok-4-fast');
|
||||
expect(matchModelName('xai/grok-4-1-fast-reasoning')).toBe('grok-4-1-fast');
|
||||
expect(matchModelName('xai/grok-4-1-fast-non-reasoning')).toBe('grok-4-1-fast');
|
||||
// Grok Code Fast model
|
||||
expect(matchModelName('xai/grok-code-fast-1')).toBe('grok-code-fast');
|
||||
});
|
||||
});
|
||||
});
|
||||
|
|
|
|||
|
|
@ -145,8 +145,7 @@ export default function OpenAIImageGen({
|
|||
clearInterval(intervalRef.current);
|
||||
}
|
||||
};
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [initialProgress, quality]);
|
||||
}, [isSubmitting, initialProgress, quality]);
|
||||
|
||||
useEffect(() => {
|
||||
if (initialProgress >= 1 || cancelled) {
|
||||
|
|
|
|||
|
|
@ -103,7 +103,7 @@ export default function useExportConversation({
|
|||
if (content.type === ContentTypes.TEXT) {
|
||||
// TEXT
|
||||
const textPart = content[ContentTypes.TEXT];
|
||||
const text = typeof textPart === 'string' ? textPart : textPart.value;
|
||||
const text = typeof textPart === 'string' ? textPart : (textPart?.value ?? '');
|
||||
return [sender, text];
|
||||
}
|
||||
|
||||
|
|
@ -365,12 +365,10 @@ export default function useExportConversation({
|
|||
data['messages'] = messages;
|
||||
}
|
||||
|
||||
exportFromJSON({
|
||||
data: data,
|
||||
fileName: filename,
|
||||
extension: 'json',
|
||||
exportType: exportFromJSON.types.json,
|
||||
});
|
||||
/** Use JSON.stringify without indentation to minimize file size for deeply nested recursive exports */
|
||||
const jsonString = JSON.stringify(data);
|
||||
const blob = new Blob([jsonString], { type: 'application/json;charset=utf-8' });
|
||||
download(blob, `${filename}.json`, 'application/json');
|
||||
};
|
||||
|
||||
const exportConversation = () => {
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
const path = require('path');
|
||||
const mongoose = require('mongoose');
|
||||
const { isEnabled, getBalanceConfig } = require('@librechat/api');
|
||||
const { getBalanceConfig } = require('@librechat/api');
|
||||
const { User } = require('@librechat/data-schemas').createModels(mongoose);
|
||||
require('module-alias')({ base: path.resolve(__dirname, '..', 'api') });
|
||||
const { createTransaction } = require('~/models/Transaction');
|
||||
|
|
@ -33,15 +33,12 @@ const connect = require('./connect');
|
|||
// console.purple(`[DEBUG] Args Length: ${process.argv.length}`);
|
||||
}
|
||||
|
||||
if (!process.env.CHECK_BALANCE) {
|
||||
const appConfig = await getAppConfig();
|
||||
const balanceConfig = getBalanceConfig(appConfig);
|
||||
|
||||
if (!balanceConfig?.enabled) {
|
||||
console.red(
|
||||
'Error: CHECK_BALANCE environment variable is not set! Configure it to use it: `CHECK_BALANCE=true`',
|
||||
);
|
||||
silentExit(1);
|
||||
}
|
||||
if (isEnabled(process.env.CHECK_BALANCE) === false) {
|
||||
console.red(
|
||||
'Error: CHECK_BALANCE environment variable is set to `false`! Please configure: `CHECK_BALANCE=true`',
|
||||
'Error: Balance is not enabled. Use librechat.yaml to enable it',
|
||||
);
|
||||
silentExit(1);
|
||||
}
|
||||
|
|
@ -80,8 +77,6 @@ const connect = require('./connect');
|
|||
*/
|
||||
let result;
|
||||
try {
|
||||
const appConfig = await getAppConfig();
|
||||
const balanceConfig = getBalanceConfig(appConfig);
|
||||
result = await createTransaction({
|
||||
user: user._id,
|
||||
tokenType: 'credits',
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
const path = require('path');
|
||||
const mongoose = require('mongoose');
|
||||
const { isEnabled } = require('@librechat/api');
|
||||
const { getBalanceConfig } = require('@librechat/api');
|
||||
const { User, Balance } = require('@librechat/data-schemas').createModels(mongoose);
|
||||
require('module-alias')({ base: path.resolve(__dirname, '..', 'api') });
|
||||
const { askQuestion, silentExit } = require('./helpers');
|
||||
|
|
@ -31,15 +31,10 @@ const connect = require('./connect');
|
|||
// console.purple(`[DEBUG] Args Length: ${process.argv.length}`);
|
||||
}
|
||||
|
||||
if (!process.env.CHECK_BALANCE) {
|
||||
const balanceConfig = getBalanceConfig();
|
||||
if (!balanceConfig?.enabled) {
|
||||
console.red(
|
||||
'Error: CHECK_BALANCE environment variable is not set! Configure it to use it: `CHECK_BALANCE=true`',
|
||||
);
|
||||
silentExit(1);
|
||||
}
|
||||
if (isEnabled(process.env.CHECK_BALANCE) === false) {
|
||||
console.red(
|
||||
'Error: CHECK_BALANCE environment variable is set to `false`! Please configure: `CHECK_BALANCE=true`',
|
||||
'Error: Balance is not enabled. Use librechat.yaml to enable it',
|
||||
);
|
||||
silentExit(1);
|
||||
}
|
||||
|
|
|
|||
378
package-lock.json
generated
378
package-lock.json
generated
File diff suppressed because it is too large
Load diff
|
|
@ -84,7 +84,7 @@
|
|||
"@azure/storage-blob": "^12.27.0",
|
||||
"@keyv/redis": "^4.3.3",
|
||||
"@langchain/core": "^0.3.79",
|
||||
"@librechat/agents": "^3.0.33",
|
||||
"@librechat/agents": "^3.0.34",
|
||||
"@librechat/data-schemas": "*",
|
||||
"@modelcontextprotocol/sdk": "^1.21.0",
|
||||
"axios": "^1.12.1",
|
||||
|
|
|
|||
|
|
@ -16,9 +16,9 @@ import { resolveHeaders, createSafeUser } from '~/utils/env';
|
|||
|
||||
const customProviders = new Set([
|
||||
Providers.XAI,
|
||||
Providers.OLLAMA,
|
||||
Providers.DEEPSEEK,
|
||||
Providers.OPENROUTER,
|
||||
KnownEndpoints.ollama,
|
||||
]);
|
||||
|
||||
export function getReasoningKey(
|
||||
|
|
|
|||
|
|
@ -280,6 +280,9 @@ const xAIModels = {
|
|||
'grok-3-mini': 131072,
|
||||
'grok-3-mini-fast': 131072,
|
||||
'grok-4': 256000, // 256K context
|
||||
'grok-4-fast': 2000000, // 2M context
|
||||
'grok-4-1-fast': 2000000, // 2M context (covers reasoning & non-reasoning variants)
|
||||
'grok-code-fast': 256000, // 256K context
|
||||
};
|
||||
|
||||
const aggregateModels = {
|
||||
|
|
|
|||
|
|
@ -41,7 +41,6 @@ export enum Providers {
|
|||
BEDROCK = 'bedrock',
|
||||
MISTRALAI = 'mistralai',
|
||||
MISTRAL = 'mistral',
|
||||
OLLAMA = 'ollama',
|
||||
DEEPSEEK = 'deepseek',
|
||||
OPENROUTER = 'openrouter',
|
||||
XAI = 'xai',
|
||||
|
|
@ -59,7 +58,6 @@ export const documentSupportedProviders = new Set<string>([
|
|||
Providers.VERTEXAI,
|
||||
Providers.MISTRALAI,
|
||||
Providers.MISTRAL,
|
||||
Providers.OLLAMA,
|
||||
Providers.DEEPSEEK,
|
||||
Providers.OPENROUTER,
|
||||
Providers.XAI,
|
||||
|
|
@ -71,7 +69,6 @@ const openAILikeProviders = new Set<string>([
|
|||
EModelEndpoint.custom,
|
||||
Providers.MISTRALAI,
|
||||
Providers.MISTRAL,
|
||||
Providers.OLLAMA,
|
||||
Providers.DEEPSEEK,
|
||||
Providers.OPENROUTER,
|
||||
Providers.XAI,
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue