LibreChat/api/server/services/MCP.js
Danny Avila 37964975c1
🤖 refactor: Improve Agents Memory Usage, Bump Keyv, Grok 3 (#6850)
* chore: remove unused redis file

* chore: bump keyv dependencies, and update related imports

* refactor: Implement IoRedis client for rate limiting across middleware, as node-redis via keyv not compatible

* fix: Set max listeners to expected amount

* WIP: memory improvements

* refactor: Simplify getAbortData assignment in createAbortController

* refactor: Update getAbortData to use WeakRef for content management

* WIP: memory improvements in agent chat requests

* refactor: Enhance memory management with finalization registry and cleanup functions

* refactor: Simplify domainParser calls by removing unnecessary request parameter

* refactor: Update parameter types for action tools and agent loading functions to use minimal configs

* refactor: Simplify domainParser tests by removing unnecessary request parameter

* refactor: Simplify domainParser call by removing unnecessary request parameter

* refactor: Enhance client disposal by nullifying additional properties to improve memory management

* refactor: Improve title generation by adding abort controller and timeout handling, consolidate request cleanup

* refactor: Update checkIdleConnections to skip current user when checking for idle connections if passed

* refactor: Update createMCPTool to derive userId from config and handle abort signals

* refactor: Introduce createTokenCounter function and update tokenCounter usage; enhance disposeClient to reset Graph values

* refactor: Update getMCPManager to accept userId parameter for improved idle connection handling

* refactor: Extract logToolError function for improved error handling in AgentClient

* refactor: Update disposeClient to clear handlerRegistry and graphRunnable references in client.run

* refactor: Extract createHandleNewToken function to streamline token handling in initializeClient

* chore: bump @librechat/agents

* refactor: Improve timeout handling in addTitle function for better error management

* refactor: Introduce createFetch instead of using class method

* refactor: Enhance client disposal and request data handling in AskController and EditController

* refactor: Update import statements for AnthropicClient and OpenAIClient to use specific paths

* refactor: Use WeakRef for response handling in SplitStreamHandler to prevent memory leaks

* refactor: Simplify client disposal and rename getReqData to processReqData in AskController and EditController

* refactor: Improve logging structure and parameter handling in OpenAIClient

* refactor: Remove unused GraphEvents and improve stream event handling in AnthropicClient and OpenAIClient

* refactor: Simplify client initialization in AskController and EditController

* refactor: Remove unused mock functions and implement in-memory store for KeyvMongo

* chore: Update dependencies in package-lock.json to latest versions

* refactor: Await token usage recording in OpenAIClient to ensure proper async handling

* refactor: Remove handleAbort route from multiple endpoints and enhance client disposal logic

* refactor: Enhance abort controller logic by managing abortKey more effectively

* refactor: Add newConversation handling in useEventHandlers for improved conversation management

* fix: dropparams

* refactor: Use optional chaining for safer access to request properties in BaseClient

* refactor: Move client disposal and request data processing logic to cleanup module for better organization

* refactor: Remove aborted request check from addTitle function for cleaner logic

* feat: Add Grok 3 model pricing and update tests for new models

* chore: Remove trace warnings and inspect flags from backend start script used for debugging

* refactor: Replace user identifier handling with userId for consistency across controllers, use UserId in clientRegistry

* refactor: Enhance client disposal logic to prevent memory leaks by clearing additional references

* chore: Update @librechat/agents to version 2.4.14 in package.json and package-lock.json
2025-04-12 18:46:36 -04:00

94 lines
3.1 KiB
JavaScript

const { z } = require('zod');
const { tool } = require('@langchain/core/tools');
const { Constants: AgentConstants, Providers } = require('@librechat/agents');
const {
Constants,
ContentTypes,
isAssistantsEndpoint,
convertJsonSchemaToZod,
} = require('librechat-data-provider');
const { logger, getMCPManager } = require('~/config');
/**
* Creates a general tool for an entire action set.
*
* @param {Object} params - The parameters for loading action sets.
* @param {ServerRequest} params.req - The Express request object, containing user/request info.
* @param {string} params.toolKey - The toolKey for the tool.
* @param {import('@librechat/agents').Providers | EModelEndpoint} params.provider - The provider for the tool.
* @param {string} params.model - The model for the tool.
* @returns { Promise<typeof tool | { _call: (toolInput: Object | string) => unknown}> } An object with `_call` method to execute the tool input.
*/
async function createMCPTool({ req, toolKey, provider }) {
const toolDefinition = req.app.locals.availableTools[toolKey]?.function;
if (!toolDefinition) {
logger.error(`Tool ${toolKey} not found in available tools`);
return null;
}
/** @type {LCTool} */
const { description, parameters } = toolDefinition;
const isGoogle = provider === Providers.VERTEXAI || provider === Providers.GOOGLE;
let schema = convertJsonSchemaToZod(parameters, {
allowEmptyObject: !isGoogle,
});
if (!schema) {
schema = z.object({ input: z.string().optional() });
}
const [toolName, serverName] = toolKey.split(Constants.mcp_delimiter);
if (!req.user?.id) {
logger.error(
`[MCP][${serverName}][${toolName}] User ID not found on request. Cannot create tool.`,
);
throw new Error(`User ID not found on request. Cannot create tool for ${toolKey}.`);
}
/** @type {(toolArguments: Object | string, config?: GraphRunnableConfig) => Promise<unknown>} */
const _call = async (toolArguments, config) => {
try {
const derivedSignal = config?.signal ? AbortSignal.any([config.signal]) : undefined;
const mcpManager = getMCPManager(config?.userId);
const result = await mcpManager.callTool({
serverName,
toolName,
provider,
toolArguments,
options: {
userId: config?.configurable?.user_id,
signal: derivedSignal,
},
});
if (isAssistantsEndpoint(provider) && Array.isArray(result)) {
return result[0];
}
if (isGoogle && Array.isArray(result[0]) && result[0][0]?.type === ContentTypes.TEXT) {
return [result[0][0].text, result[1]];
}
return result;
} catch (error) {
logger.error(
`[MCP][User: ${config?.userId}][${serverName}] Error calling "${toolName}" MCP tool:`,
error,
);
throw new Error(
`"${toolKey}" tool call failed${error?.message ? `: ${error?.message}` : '.'}`,
);
}
};
const toolInstance = tool(_call, {
schema,
name: toolKey,
description: description || '',
responseFormat: AgentConstants.CONTENT_AND_ARTIFACT,
});
toolInstance.mcp = true;
return toolInstance;
}
module.exports = {
createMCPTool,
};