🚧 chore: merge latest dev build (#4288)

* fix: agent initialization, add `collectedUsage` handling

* style: improve side panel styling

* refactor(loadAgent): Optimize order agent project ID retrieval

* feat: code execution

* fix: typing issues

* feat: ExecuteCode content part

* refactor: use local state for default collapsed state of analysis content parts

* fix: code parsing in ExecuteCode component

* chore: bump agents package, export loadAuthValues

* refactor: Update handleTools.js to use EnvVar for code execution tool authentication

* WIP

* feat: download code outputs

* fix(useEventHandlers): type issues

* feat: backend handling for code outputs

* Refactor: Remove console.log statement in Part.tsx

* refactor: add attachments to TMessage/messageSchema

* WIP: prelim handling for code outputs

* feat: attachments rendering

* refactor: improve attachments rendering

* fix: attachments, nullish edge case, handle attachments from event stream, bump agents package

* fix filename download

* fix: tool assignment for 'run code' on agent creation

* fix: image handling by adding attachments

* refactor: prevent agent creation without provider/model

* refactor: remove unnecessary space in agent creation success message

* refactor: select first model if selecting provider from empty on form

* fix: Agent avatar bug

* fix: `defaultAgentFormValues` causing boolean typing issue and typeerror

* fix: capabilities counting as tools, causing duplication of them

* fix: formatted messages edge case where consecutive content text type parts with the latter having tool_call_ids would cause consecutive AI messages to be created. furthermore, content could not be an array for tool_use messages (anthropic limitation)

* chore: bump @librechat/agents dependency to version 1.6.9

* feat: bedrock agents

* feat: new Agents icon

* feat: agent titling

* feat: agent landing

* refactor: allow sharing agent globally only if user is admin or author

* feat: initial AgentPanelSkeleton

* feat: AgentPanelSkeleton

* feat: collaborative agents

* chore: add potential authorName as part of schema

* chore: Remove unnecessary console.log statement

* WIP: agent model parameters

* chore: ToolsDialog typing and tool related localization chnages

* refactor: update tool instance type (latest langchain class), and rename google tool to 'google' proper

* chore: add back tools

* feat: Agent knowledge files upload

* refactor: better verbiage for disabled knowledge

* chore: debug logs for file deletions

* chore: debug logs for file deletions

* feat: upload/delete agent knowledge/file-search files

* feat: file search UI for agents

* feat: first pass, file search tool

* chore: update default agent capabilities and info

api/server/services/Files/process.js

@@ -8,6 +8,7 @@ const {
   FileSources,
   imageExtRegex,
   EModelEndpoint,
+  EToolResources,
   mergeFileConfig,
   hostImageIdSuffix,
   checkOpenAIStorage,
@@ -16,6 +17,7 @@ const {
 } = require('librechat-data-provider');
 const { addResourceFileId, deleteResourceFileId } = require('~/server/controllers/assistants/v2');
 const { convertImage, resizeAndConvert } = require('~/server/services/Files/images');
+const { addAgentResourceFile, removeAgentResourceFile } = require('~/models/Agent');
 const { getOpenAIClient } = require('~/server/controllers/assistants/helpers');
 const { createFile, updateFileUsage, deleteFiles } = require('~/models/File');
 const { LB_QueueAsyncCall } = require('~/server/utils/queue');
@@ -124,6 +126,17 @@ const processDeleteRequest = async ({ req, files }) => {
   for (const file of files) {
     const source = file.source ?? FileSources.local;
 
+    if (req.body.agent_id && req.body.tool_resource) {
+      promises.push(
+        removeAgentResourceFile({
+          req,
+          file_id: file.file_id,
+          agent_id: req.body.agent_id,
+          tool_resource: req.body.tool_resource,
+        }),
+      );
+    }
+
     if (checkOpenAIStorage(source) && !client[source]) {
       await initializeClients();
     }
@@ -398,6 +411,95 @@ const processFileUpload = async ({ req, res, file, metadata }) => {
   res.status(200).json({ message: 'File uploaded and processed successfully', ...result });
 };
 
+/**
+ * Applies the current strategy for file uploads.
+ * Saves file metadata to the database with an expiry TTL.
+ * Files must be deleted from the server filesystem manually.
+ *
+ * @param {Object} params - The parameters object.
+ * @param {Express.Request} params.req - The Express request object.
+ * @param {Express.Response} params.res - The Express response object.
+ * @param {Express.Multer.File} params.file - The uploaded file.
+ * @param {FileMetadata} params.metadata - Additional metadata for the file.
+ * @returns {Promise<void>}
+ */
+const processAgentFileUpload = async ({ req, res, file, metadata }) => {
+  const { agent_id, tool_resource } = metadata;
+  if (agent_id && !tool_resource) {
+    throw new Error('No tool resource provided for agent file upload');
+  }
+
+  if (tool_resource === EToolResources.file_search && file.mimetype.startsWith('image')) {
+    throw new Error('Image uploads are not supported for file search tool resources');
+  }
+
+  let messageAttachment = !!metadata.message_file;
+  if (!messageAttachment && !agent_id) {
+    throw new Error('No agent ID provided for agent file upload');
+  }
+
+  const source =
+    tool_resource === EToolResources.file_search
+      ? FileSources.vectordb
+      : req.app.locals.fileStrategy;
+  const { handleFileUpload } = getStrategyFunctions(source);
+  const { file_id, temp_file_id } = metadata;
+
+  const {
+    bytes,
+    filename,
+    filepath: _filepath,
+    embedded,
+    height,
+    width,
+  } = await handleFileUpload({
+    req,
+    file,
+    file_id,
+  });
+
+  let filepath = _filepath;
+
+  if (!messageAttachment && tool_resource) {
+    await addAgentResourceFile({
+      req,
+      agent_id,
+      file_id,
+      tool_resource: tool_resource,
+    });
+  }
+
+  if (file.mimetype.startsWith('image')) {
+    const result = await processImageFile({
+      req,
+      file,
+      metadata: { file_id: v4() },
+      returnFile: true,
+    });
+    filepath = result.filepath;
+  }
+
+  const result = await createFile(
+    {
+      user: req.user.id,
+      file_id,
+      temp_file_id,
+      bytes,
+      filepath,
+      filename: filename ?? file.originalname,
+      context: messageAttachment ? FileContext.message_attachment : FileContext.agents,
+      model: messageAttachment ? undefined : req.body.model,
+      type: file.mimetype,
+      embedded,
+      source,
+      height,
+      width,
+    },
+    true,
+  );
+  res.status(200).json({ message: 'Agent file uploaded and processed successfully', ...result });
+};
+
 /**
  * @param {object} params - The params object.
  * @param {OpenAI} params.openai - The OpenAI client instance.
@@ -654,5 +756,6 @@ module.exports = {
   uploadImageBuffer,
   processFileUpload,
   processDeleteRequest,
+  processAgentFileUpload,
   retrieveAndProcessFile,
 };