chore: bump langchain deps to address vulnerability warnings

api/app/clients/GoogleClient.js

@@ -3,9 +3,9 @@ const { Agent, ProxyAgent } = require('undici');
 const { ChatVertexAI } = require('@langchain/google-vertexai');
 const { ChatGoogleGenerativeAI } = require('@langchain/google-genai');
 const { GoogleGenerativeAI: GenAI } = require('@google/generative-ai');
-const { GoogleVertexAI } = require('@langchain/community/llms/googlevertexai');
-const { ChatGoogleVertexAI } = require('langchain/chat_models/googlevertexai');
-const { AIMessage, HumanMessage, SystemMessage } = require('langchain/schema');
+const { GoogleVertexAI } = require('@langchain/google-vertexai');
+const { ChatGoogleVertexAI } = require('@langchain/google-vertexai');
+const { AIMessage, HumanMessage, SystemMessage } = require('@langchain/core/messages');
 const { encoding_for_model: encodingForModel, get_encoding: getEncoding } = require('tiktoken');
 const {
   validateVisionModel,

api/app/clients/agents/CustomAgent/CustomAgent.js

@@ -1,5 +1,5 @@
 const { ZeroShotAgent } = require('langchain/agents');
-const { PromptTemplate, renderTemplate } = require('langchain/prompts');
+const { PromptTemplate, renderTemplate } = require('@langchain/core/prompts');
 const { gpt3, gpt4 } = require('./instructions');
 
 class CustomAgent extends ZeroShotAgent {

api/app/clients/agents/CustomAgent/initializeCustomAgent.js

@@ -7,7 +7,7 @@ const {
   ChatPromptTemplate,
   SystemMessagePromptTemplate,
   HumanMessagePromptTemplate,
-} = require('langchain/prompts');
+} = require('@langchain/core/prompts');
 
 const initializeCustomAgent = async ({
   tools,

api/app/clients/agents/Functions/FunctionsAgent.js

@@ -1,12 +1,12 @@
 const { Agent } = require('langchain/agents');
 const { LLMChain } = require('langchain/chains');
-const { FunctionChatMessage, AIChatMessage } = require('langchain/schema');
+const { FunctionChatMessage, AIChatMessage } = require('@langchain/core/messages');
 const {
   ChatPromptTemplate,
   MessagesPlaceholder,
   SystemMessagePromptTemplate,
   HumanMessagePromptTemplate,
-} = require('langchain/prompts');
+} = require('@langchain/core/prompts');
 const { logger } = require('~/config');
 
 const PREFIX = 'You are a helpful AI assistant.';

api/app/clients/llm/createLLM.js

@@ -1,4 +1,4 @@
-const { ChatOpenAI } = require('langchain/chat_models/openai');
+const { ChatOpenAI } = require('@langchain/openai');
 const { sanitizeModelName, constructAzureURL } = require('~/utils');
 const { isEnabled } = require('~/server/utils');
 

api/app/clients/memory/summaryBuffer.demo.js

@@ -1,5 +1,5 @@
 require('dotenv').config();
-const { ChatOpenAI } = require('langchain/chat_models/openai');
+const { ChatOpenAI } = require('@langchain/openai');
 const { getBufferString, ConversationSummaryBufferMemory } = require('langchain/memory');
 
 const chatPromptMemory = new ConversationSummaryBufferMemory({

api/app/clients/prompts/formatAgentMessages.spec.js

@@ -1,6 +1,6 @@
 const { ToolMessage } = require('@langchain/core/messages');
 const { ContentTypes } = require('librechat-data-provider');
-const { HumanMessage, AIMessage, SystemMessage } = require('langchain/schema');
+const { HumanMessage, AIMessage, SystemMessage } = require('@langchain/core/messages');
 const { formatAgentMessages } = require('./formatMessages');
 
 describe('formatAgentMessages', () => {

api/app/clients/prompts/formatMessages.js

@@ -1,6 +1,6 @@
 const { ToolMessage } = require('@langchain/core/messages');
 const { EModelEndpoint, ContentTypes } = require('librechat-data-provider');
-const { HumanMessage, AIMessage, SystemMessage } = require('langchain/schema');
+const { HumanMessage, AIMessage, SystemMessage } = require('@langchain/core/messages');
 
 /**
  * Formats a message to OpenAI Vision API payload format.

api/app/clients/prompts/formatMessages.spec.js

@@ -1,5 +1,5 @@
 const { Constants } = require('librechat-data-provider');
-const { HumanMessage, AIMessage, SystemMessage } = require('langchain/schema');
+const { HumanMessage, AIMessage, SystemMessage } = require('@langchain/core/messages');
 const { formatMessage, formatLangChainMessages, formatFromLangChain } = require('./formatMessages');
 
 describe('formatMessage', () => {

api/app/clients/prompts/summaryPrompts.js

@@ -1,4 +1,4 @@
-const { PromptTemplate } = require('langchain/prompts');
+const { PromptTemplate } = require('@langchain/core/prompts');
 /*
  * Without `{summary}` and `{new_lines}`, token count is 98
  * We are counting this towards the max context tokens for summaries, +3 for the assistant label (101)

api/app/clients/prompts/titlePrompts.js

@@ -2,7 +2,7 @@ const {
   ChatPromptTemplate,
   SystemMessagePromptTemplate,
   HumanMessagePromptTemplate,
-} = require('langchain/prompts');
+} = require('@langchain/core/prompts');
 
 const langPrompt = new ChatPromptTemplate({
   promptMessages: [

api/app/clients/specs/BaseClient.test.js

@@ -30,7 +30,7 @@ jest.mock('~/models', () => ({
   updateFileUsage: jest.fn(),
 }));
 
-jest.mock('langchain/chat_models/openai', () => {
+jest.mock('@langchain/openai', () => {
   return {
     ChatOpenAI: jest.fn().mockImplementation(() => {
       return {};

api/app/clients/specs/OpenAIClient.test.js

@@ -34,7 +34,7 @@ jest.mock('~/models', () => ({
   updateFileUsage: jest.fn(),
 }));
 
-jest.mock('langchain/chat_models/openai', () => {
+jest.mock('@langchain/openai', () => {
   return {
     ChatOpenAI: jest.fn().mockImplementation(() => {
       return {};

api/app/clients/specs/PluginsClient.test.js

@@ -1,6 +1,6 @@
 const crypto = require('crypto');
 const { Constants } = require('librechat-data-provider');
-const { HumanChatMessage, AIChatMessage } = require('langchain/schema');
+const { HumanChatMessage, AIChatMessage } = require('@langchain/core/messages');
 const PluginsClient = require('../PluginsClient');
 
 jest.mock('~/lib/db/connectDb');

api/app/clients/tools/dynamic/OpenAPIPlugin.js

@@ -5,7 +5,7 @@ const path = require('path');
 const yaml = require('js-yaml');
 const { createOpenAPIChain } = require('langchain/chains');
 const { DynamicStructuredTool } = require('langchain/tools');
-const { ChatPromptTemplate, HumanMessagePromptTemplate } = require('langchain/prompts');
+const { ChatPromptTemplate, HumanMessagePromptTemplate } = require('@langchain/core/prompts');
 const { logger } = require('~/config');
 
 function addLinePrefix(text, prefix = '// ') {

api/app/clients/tools/structured/E2BTools.js

@@ -1,8 +1,8 @@
 const { z } = require('zod');
 const axios = require('axios');
 const { StructuredTool } = require('langchain/tools');
-const { PromptTemplate } = require('langchain/prompts');
-// const { ChatOpenAI } = require('langchain/chat_models/openai');
+const { PromptTemplate } = require('@langchain/core/prompts');
+// const { ChatOpenAI } = require('@langchain/openai');
 const { createExtractionChainFromZod } = require('./extractionChain');
 const { logger } = require('~/config');
 

api/app/clients/tools/structured/extractionChain.js

@@ -1,5 +1,5 @@
 const { zodToJsonSchema } = require('zod-to-json-schema');
-const { PromptTemplate } = require('langchain/prompts');
+const { PromptTemplate } = require('@langchain/core/prompts');
 const { JsonKeyOutputFunctionsParser } = require('langchain/output_parsers');
 const { LLMChain } = require('langchain/chains');
 function getExtractionFunctions(schema) {

api/app/clients/tools/util/handleTools.js

@@ -1,6 +1,6 @@
 const { Tools } = require('librechat-data-provider');
 const { ZapierToolKit } = require('langchain/agents');
-const { Calculator } = require('langchain/tools/calculator');
+const { Calculator } = require('@langchain/community/tools/calculator');
 const { SerpAPI, ZapierNLAWrapper } = require('langchain/tools');
 const { createCodeExecutionTool, EnvVar } = require('@librechat/agents');
 const { getUserPluginAuthValue } = require('~/server/services/PluginService');

api/app/clients/tools/util/handleTools.test.js

@@ -18,8 +18,8 @@ jest.mock('~/models/User', () => {
 
 jest.mock('~/server/services/PluginService', () => mockPluginService);
 
-const { Calculator } = require('langchain/tools/calculator');
-const { BaseChatModel } = require('langchain/chat_models/openai');
+const { Calculator } = require('@langchain/community/tools/calculator');
+const { BaseChatModel } = require('@langchain/openai');
 
 const User = require('~/models/User');
 const PluginService = require('~/server/services/PluginService');

api/package.json

@@ -39,10 +39,10 @@
     "@google/generative-ai": "^0.5.0",
     "@keyv/mongo": "^2.1.8",
     "@keyv/redis": "^2.8.1",
-    "@langchain/community": "^0.0.46",
-    "@langchain/core": "^0.2.18",
-    "@langchain/google-genai": "^0.0.11",
-    "@langchain/google-vertexai": "^0.0.17",
+    "@langchain/community": "^0.3.12",
+    "@langchain/core": "^0.3.17",
+    "@langchain/google-genai": "^0.1.3",
+    "@langchain/google-vertexai": "^0.1.0",
     "@librechat/agents": "^1.7.7",
     "axios": "^1.7.7",
     "bcryptjs": "^2.4.3",
@@ -70,7 +70,7 @@
     "keyv": "^4.5.4",
     "keyv-file": "^0.2.0",
     "klona": "^2.0.6",
-    "langchain": "^0.0.214",
+    "langchain": "^0.2.19",
     "librechat-data-provider": "*",
     "lodash": "^4.17.21",
     "meilisearch": "^0.38.0",

api/server/services/ToolService.js

@@ -1,7 +1,7 @@
 const fs = require('fs');
 const path = require('path');
 const { zodToJsonSchema } = require('zod-to-json-schema');
-const { Calculator } = require('langchain/tools/calculator');
+const { Calculator } = require('@langchain/community/tools/calculator');
 const { tool: toolFn, Tool } = require('@langchain/core/tools');
 const {
   Tools,