mirror of
https://github.com/danny-avila/LibreChat.git
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* 📝 chore: Add comment to clarify purpose of check_updates.sh script
* feat: mcp package
* feat: add librechat-mcp package and update dependencies
* feat: refactor MCPConnectionSingleton to handle transport initialization and connection management
* feat: change private methods to public in MCPConnectionSingleton for improved accessibility
* feat: filesystem demo
* chore: everything demo and move everything under mcp workspace
* chore: move ts-node to mcp workspace
* feat: mcp examples
* feat: working sse MCP example
* refactor: rename MCPConnectionSingleton to MCPConnection for clarity
* refactor: replace MCPConnectionSingleton with MCPConnection for consistency
* refactor: manager/connections
* refactor: update MCPConnection to use type definitions from mcp types
* refactor: update MCPManager to use winston logger and enhance server initialization
* refactor: share logger between connections and manager
* refactor: add schema definitions and update MCPManager to accept logger parameter
* feat: map available MCP tools
* feat: load manifest tools
* feat: add MCP tools delimiter constant and update plugin key generation
* feat: call MCP tools
* feat: update librechat-data-provider version to 0.7.63 and enhance StdioOptionsSchema with additional properties
* refactor: simplify typing
* chore: update types/packages
* feat: MCP Tool Content parsing
* chore: update dependencies and improve package configurations
* feat: add 'mcp' directory to package and update configurations
* refactor: return CONTENT_AND_ARTIFACT format for MCP callTool
* chore: bump @librechat/agents
* WIP: MCP artifacts
* chore: bump @librechat/agents to v1.8.7
* fix: ensure filename has extension when saving base64 image
* fix: move base64 buffer conversion before filename extension check
* chore: update backend review workflow to install MCP package
* fix: use correct `mime` method
* fix: enhance file metadata with message and tool call IDs in image saving process
* fix: refactor ToolCall component to handle MCP tool calls and improve domain extraction
* fix: update ToolItem component for default isInstalled value and improve localization in ToolSelectDialog
* fix: update ToolItem component to use consistent text color for tool description
* style: add theming to ToolSelectDialog
* fix: improve domain extraction logic in ToolCall component
* refactor: conversation item theming, fix rename UI bug, optimize props, add missing types
* feat: enhance MCP options schema with base options (iconPath to start) and make transport type optional, infer based on other option fields
* fix: improve reconnection logic with parallel init and exponential backoff and enhance transport debug logging
* refactor: improve logging format
* refactor: improve logging of available tools by displaying tool names
* refactor: improve reconnection/connection logic
* feat: add MCP package build process to Dockerfile
* feat: add fallback icon for tools without an image in ToolItem component
* feat: Assistants Support for MCP Tools
* fix(build): configure rollup to use output.dir for dynamic imports
* chore: update @librechat/agents to version 1.8.8 and add @langchain/anthropic dependency
* fix: update CONFIG_VERSION to 1.2.0
132 lines
3.9 KiB
JavaScript
132 lines
3.9 KiB
JavaScript
const { FileSources, EModelEndpoint, getConfigDefaults } = require('librechat-data-provider');
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const { checkVariables, checkHealth, checkConfig, checkAzureVariables } = require('./start/checks');
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const { azureAssistantsDefaults, assistantsConfigSetup } = require('./start/assistants');
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const { initializeFirebase } = require('./Files/Firebase/initialize');
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const loadCustomConfig = require('./Config/loadCustomConfig');
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const handleRateLimits = require('./Config/handleRateLimits');
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const { loadDefaultInterface } = require('./start/interface');
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const { azureConfigSetup } = require('./start/azureOpenAI');
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const { loadAndFormatTools } = require('./ToolService');
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const { agentsConfigSetup } = require('./start/agents');
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const { initializeRoles } = require('~/models/Role');
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const { getMCPManager } = require('~/config');
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const paths = require('~/config/paths');
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/**
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*
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* Loads custom config and initializes app-wide variables.
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* @function AppService
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* @param {Express.Application} app - The Express application object.
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*/
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const AppService = async (app) => {
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await initializeRoles();
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/** @type {TCustomConfig}*/
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const config = (await loadCustomConfig()) ?? {};
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const configDefaults = getConfigDefaults();
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const filteredTools = config.filteredTools;
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const includedTools = config.includedTools;
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const fileStrategy = config.fileStrategy ?? configDefaults.fileStrategy;
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const imageOutputType = config?.imageOutputType ?? configDefaults.imageOutputType;
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process.env.CDN_PROVIDER = fileStrategy;
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checkVariables();
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await checkHealth();
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if (fileStrategy === FileSources.firebase) {
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initializeFirebase();
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}
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/** @type {Record<string, FunctionTool} */
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const availableTools = loadAndFormatTools({
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adminFilter: filteredTools,
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adminIncluded: includedTools,
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directory: paths.structuredTools,
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});
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if (config.mcpServers != null) {
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const mcpManager = await getMCPManager();
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await mcpManager.initializeMCP(config.mcpServers);
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await mcpManager.mapAvailableTools(availableTools);
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}
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const socialLogins =
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config?.registration?.socialLogins ?? configDefaults?.registration?.socialLogins;
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const interfaceConfig = await loadDefaultInterface(config, configDefaults);
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const defaultLocals = {
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paths,
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fileStrategy,
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socialLogins,
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filteredTools,
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includedTools,
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availableTools,
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imageOutputType,
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interfaceConfig,
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};
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if (!Object.keys(config).length) {
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app.locals = defaultLocals;
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return;
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}
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checkConfig(config);
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handleRateLimits(config?.rateLimits);
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const endpointLocals = {};
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const endpoints = config?.endpoints;
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if (endpoints?.[EModelEndpoint.azureOpenAI]) {
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endpointLocals[EModelEndpoint.azureOpenAI] = azureConfigSetup(config);
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checkAzureVariables();
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}
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if (endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
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endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
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}
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if (endpoints?.[EModelEndpoint.azureAssistants]) {
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endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
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config,
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EModelEndpoint.azureAssistants,
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endpointLocals[EModelEndpoint.azureAssistants],
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);
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}
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if (endpoints?.[EModelEndpoint.assistants]) {
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endpointLocals[EModelEndpoint.assistants] = assistantsConfigSetup(
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config,
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EModelEndpoint.assistants,
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endpointLocals[EModelEndpoint.assistants],
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);
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}
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if (endpoints?.[EModelEndpoint.agents]) {
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endpointLocals[EModelEndpoint.agents] = agentsConfigSetup(config);
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}
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const endpointKeys = [
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EModelEndpoint.openAI,
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EModelEndpoint.google,
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EModelEndpoint.bedrock,
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EModelEndpoint.anthropic,
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EModelEndpoint.gptPlugins,
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];
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endpointKeys.forEach((key) => {
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if (endpoints?.[key]) {
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endpointLocals[key] = endpoints[key];
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}
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});
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app.locals = {
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...defaultLocals,
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modelSpecs: config.modelSpecs,
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fileConfig: config?.fileConfig,
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secureImageLinks: config?.secureImageLinks,
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...endpointLocals,
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};
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};
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module.exports = AppService;
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