LibreChat/api/server/services/AppService.js
Danny Avila e391347b9e
🔧 feat: Initial MCP Support (Tools) (#5015)
* 📝 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
2024-12-17 13:12:57 -05:00

132 lines
3.9 KiB
JavaScript

const { FileSources, EModelEndpoint, getConfigDefaults } = require('librechat-data-provider');
const { checkVariables, checkHealth, checkConfig, checkAzureVariables } = require('./start/checks');
const { azureAssistantsDefaults, assistantsConfigSetup } = require('./start/assistants');
const { initializeFirebase } = require('./Files/Firebase/initialize');
const loadCustomConfig = require('./Config/loadCustomConfig');
const handleRateLimits = require('./Config/handleRateLimits');
const { loadDefaultInterface } = require('./start/interface');
const { azureConfigSetup } = require('./start/azureOpenAI');
const { loadAndFormatTools } = require('./ToolService');
const { agentsConfigSetup } = require('./start/agents');
const { initializeRoles } = require('~/models/Role');
const { getMCPManager } = require('~/config');
const paths = require('~/config/paths');
/**
*
* Loads custom config and initializes app-wide variables.
* @function AppService
* @param {Express.Application} app - The Express application object.
*/
const AppService = async (app) => {
await initializeRoles();
/** @type {TCustomConfig}*/
const config = (await loadCustomConfig()) ?? {};
const configDefaults = getConfigDefaults();
const filteredTools = config.filteredTools;
const includedTools = config.includedTools;
const fileStrategy = config.fileStrategy ?? configDefaults.fileStrategy;
const imageOutputType = config?.imageOutputType ?? configDefaults.imageOutputType;
process.env.CDN_PROVIDER = fileStrategy;
checkVariables();
await checkHealth();
if (fileStrategy === FileSources.firebase) {
initializeFirebase();
}
/** @type {Record<string, FunctionTool} */
const availableTools = loadAndFormatTools({
adminFilter: filteredTools,
adminIncluded: includedTools,
directory: paths.structuredTools,
});
if (config.mcpServers != null) {
const mcpManager = await getMCPManager();
await mcpManager.initializeMCP(config.mcpServers);
await mcpManager.mapAvailableTools(availableTools);
}
const socialLogins =
config?.registration?.socialLogins ?? configDefaults?.registration?.socialLogins;
const interfaceConfig = await loadDefaultInterface(config, configDefaults);
const defaultLocals = {
paths,
fileStrategy,
socialLogins,
filteredTools,
includedTools,
availableTools,
imageOutputType,
interfaceConfig,
};
if (!Object.keys(config).length) {
app.locals = defaultLocals;
return;
}
checkConfig(config);
handleRateLimits(config?.rateLimits);
const endpointLocals = {};
const endpoints = config?.endpoints;
if (endpoints?.[EModelEndpoint.azureOpenAI]) {
endpointLocals[EModelEndpoint.azureOpenAI] = azureConfigSetup(config);
checkAzureVariables();
}
if (endpoints?.[EModelEndpoint.azureOpenAI]?.assistants) {
endpointLocals[EModelEndpoint.azureAssistants] = azureAssistantsDefaults();
}
if (endpoints?.[EModelEndpoint.azureAssistants]) {
endpointLocals[EModelEndpoint.azureAssistants] = assistantsConfigSetup(
config,
EModelEndpoint.azureAssistants,
endpointLocals[EModelEndpoint.azureAssistants],
);
}
if (endpoints?.[EModelEndpoint.assistants]) {
endpointLocals[EModelEndpoint.assistants] = assistantsConfigSetup(
config,
EModelEndpoint.assistants,
endpointLocals[EModelEndpoint.assistants],
);
}
if (endpoints?.[EModelEndpoint.agents]) {
endpointLocals[EModelEndpoint.agents] = agentsConfigSetup(config);
}
const endpointKeys = [
EModelEndpoint.openAI,
EModelEndpoint.google,
EModelEndpoint.bedrock,
EModelEndpoint.anthropic,
EModelEndpoint.gptPlugins,
];
endpointKeys.forEach((key) => {
if (endpoints?.[key]) {
endpointLocals[key] = endpoints[key];
}
});
app.locals = {
...defaultLocals,
modelSpecs: config.modelSpecs,
fileConfig: config?.fileConfig,
secureImageLinks: config?.secureImageLinks,
...endpointLocals,
};
};
module.exports = AppService;