LibreChat/api/server/services/MCP.js
Danny Avila c4f1da26b3
🔄 fix: Avatar & Error Handling Enhancements (#6687)
* fix: Ensure safe access to agent capabilities in AgentConfig

* fix: don't show agent builder if agents endpoint is not enabled

* fix: Improve error logging for MCP tool calls

* fix: Enhance error message for MCP tool failures

* feat: Add optional spec and iconURL properties to TEndpointOption type

* chore: Update condition to use constant for new conversation parameter

* feat: Enhance abort error handling with additional endpoint options to properly render error message fields

* fix: Throw error instead of returning message for failed MCP tool calls

* refactor: separate logic to generate new S3 URLs for expired links

* feat: Implement S3 URL refresh for user avatars with error handling

* fix: authcontext error in chats where agent chain is used

* refactor: streamline balance configuration logic in getBalanceConfig function

* fix: enhance icon resolution logic in SpecIcon component

* fix: allow null values for spec and iconURL in TEndpointOption type

* fix: update balance check to allow null tokenCredits
2025-04-02 18:44:13 -04:00

94 lines
3 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 ${toolKey} not found in available tools`);
return null;
}
/** @type {LCTool} */
const { description, parameters } = toolDefinition;
const isGoogle = provider === Providers.VERTEXAI || provider === Providers.GOOGLE;
let schema = convertJsonSchemaToZod(parameters, {
allowEmptyObject: !isGoogle,
});
if (!schema) {
schema = z.object({ input: z.string().optional() });
}
const [toolName, serverName] = toolKey.split(Constants.mcp_delimiter);
const userId = req.user?.id;
if (!userId) {
logger.error(
`[MCP][${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 mcpManager = await getMCPManager();
const result = await mcpManager.callTool({
serverName,
toolName,
provider,
toolArguments,
options: {
userId,
signal: config?.signal,
},
});
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: ${userId}][${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,
};