⏱ feat: Add Timeout Options and Update Agent Chain Image (#265)

* fix: Update Agent Chain Image to External Source and Remove Local File

* 📝 feat: Add timeout and initTimeout configuration options for MCP server requests

* WIP: Add `timeout` and `initTimeout` options for MCP server configuration

components/changelog/content/config_v1.2.4.mdx

@@ -0,0 +1,9 @@
+- Added `timeout` to [MCP Servers](/docs/configuration/librechat_yaml/object_structure/mcp_servers)
+  - Controls how long to wait for a response from MCP server tool requests (in milliseconds)
+  - Provides better control over MCP server request behavior
+  - Allows adjusting timeouts based on expected response times for different MCP servers
+
+- Added `initTimeout` to [MCP Servers](/docs/configuration/librechat_yaml/object_structure/mcp_servers)
+  - Controls how long to wait for MCP server initialization (in milliseconds)
+  - Allows configuration of initialization timeouts for servers that may take longer to start up
+  - Helps fine-tune performance for specific environments and use cases

pages/docs/configuration/librechat_yaml/object_structure/config.mdx

@@ -341,6 +341,9 @@ see: [Model Specs Object Structure](/docs/configuration/librechat_yaml/object_st
     - If `url` is specified and starts with `http` or `https`, `type` defaults to `sse`.
     - If `url` is specified and starts with `ws` or `wss`, `type` defaults to `websocket`.
     - If `command` is specified, `type` defaults to `stdio`.
+  - Additional configuration options include:
+    - `timeout`: Timeout in milliseconds for MCP server requests. Determines how long to wait for a response for tool requests.
+    - `initTimeout`: Timeout in milliseconds for MCP server initialization. Determines how long to wait for the server to initialize.
   - see: [MCP Servers Object Structure](/docs/configuration/librechat_yaml/object_structure/mcp_servers)
 
 **Example:**
@@ -350,12 +353,16 @@ mcpServers:
   everything:
     # type: sse # type can optionally be omitted
     url: http://localhost:3001/sse
+    timeout: 30000
+    initTimeout: 10000
   puppeteer:
     type: stdio
     command: npx
     args:
       - -y
       - "@modelcontextprotocol/server-puppeteer"
+    timeout: 30000
+    initTimeout: 10000
   filesystem:
     # type: stdio
     command: npx

pages/docs/configuration/librechat_yaml/object_structure/mcp_servers.mdx

@@ -48,6 +48,8 @@ mcpServers:
     ['args', 'Array of Strings', '(For `stdio` type) Command line arguments to pass to the `command`.', 'args: ["-y", "@modelcontextprotocol/server-puppeteer"]'],
     ['url', 'String', '(For `websocket` or `sse` type) The URL to connect to the MCP server.', 'url: "http://localhost:3001/sse"'],
     ['iconPath', 'String', '(Optional) Defines the tool\'s display icon shown in the tool selection dialog.', 'iconPath: "/path/to/icon.svg"'],
+    ['timeout', 'Number', '(Optional) Timeout in milliseconds for MCP server requests. Determines how long to wait for a response for tool requests.', 'timeout: 30000'],
+    ['initTimeout', 'Number', '(Optional) Timeout in milliseconds for MCP server initialization. Determines how long to wait for the server to initialize.', 'initTimeout: 10000'],
     ['env', 'Object', '(Optional, `stdio` type only) Environment variables to use when spawning the process.', 'env:\n  NODE_ENV: "production"'],
     ['stderr', 'String or Stream or Number', '(Optional, `stdio` type only) How to handle `stderr` of the child process. Defaults to `"inherit"`.', 'stderr: "inherit"'],
   ]}
@@ -116,6 +118,8 @@ puppeteer:
   args:
     - -y
     - "@modelcontextprotocol/server-puppeteer"
+  timeout: 30000
+  initTimeout: 10000
   env:
     NODE_ENV: "production"
   stderr: inherit

pages/docs/features/agents.mdx

@@ -3,6 +3,8 @@ title: AI Agents - LibreChat's No-Code Agentic Framework
 description: Learn how to create, customize, and leverage LibreChat's AI Agents - a powerful framework for building custom AI assistants with any model provider.
 ---
 
+import Image from 'next/image'
+
 # Agents: Build Custom AI Assistants
 
 LibreChat's AI Agents feature provides a flexible framework for creating custom AI assistants powered by various model providers.
@@ -151,7 +153,7 @@ The Agent Chain capability enables a Mixture-of-Agents (MoA) approach, allowing
 - **Note:** This feature is currently in beta and may be subject to change
   - The current maximum of agents that can be chained is 10, but this may be configurable in the future
 
-![Agent Chain](/images/agents/agent_chain.png)
+<Image src="https://firebasestorage.googleapis.com/v0/b/superb-reporter-407417.appspot.com/o/agent_chain.png?alt=media&token=bfa209b9-d2ab-403f-b097-6300b4017fc8" alt="Agent Chain" width={488} height={269}/>
 
 This feature introduces a layered Mixture-of-Agents architecture to LibreChat, where each agent takes all the outputs from agents in the previous layer as auxiliary information in generating its response, as described in [the eponymous "Mixture-of-Agents" paper](https://arxiv.org/abs/2406.04692).